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  1. Assessing Nonlinear Dynamics and Trends in Precipitation by Ensemble Empirical Mode Decomposition (EEMD) and Fractal Approach in Benin Republic.Médard Noukpo Agbazo, Gabin Koto N’Gobi, Eric Alamou, Basile Kounouhewa & Abel Afouda - 2021 - Complexity 2021:1-14.
    Climate dynamics and trends have significant environmental and socioeconomic impacts; however, in the Benin Republic, they are generally studied with diverse statistical methods ignoring the nonstationarity, nonlinearity, and self-similarity characteristics contained in precipitation time series. This can lead to erroneous conclusions and an unclear understanding of climatic dynamics. Based on daily precipitation data observed in the six synoptic stations of Benin Republic, in the period from 1951 to 2010, we have proposed determining the local trends of precipitations, investigating precipitation nonlinear (...)
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  2. Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification.Apeksha Aggarwal, Vibhav Sharma, Anshul Trivedi, Mayank Yadav, Chirag Agrawal, Dilbag Singh, Vipul Mishra & Hassène Gritli - 2021 - Complexity 2021:1-7.
    Millions of memes are created and shared every day on social media platforms. Memes are a great tool to spread humour. However, some people use it to target an individual or a group generating offensive content in a polite and sarcastic way. Lack of moderation of such memes spreads hatred and can lead to depression like psychological conditions. Many successful studies related to analysis of language such as sentiment analysis and analysis of images such as image classification have been performed. (...)
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  3. Forecasting Different Types of Droughts Simultaneously Using Multivariate Standardized Precipitation Index (MSPI), MLP Neural Network, and Imperialistic Competitive Algorithm.Pouya Aghelpour & Vahid Varshavian - 2021 - Complexity 2021:1-16.
    Precipitation deficit causes meteorological drought, and its continuation appears as other different types of droughts including hydrological, agricultural, economic, and social droughts. Multivariate Standardized Precipitation Index can show the drought status from the perspective of different drought types simultaneously. Forecasting multivariate droughts can provide good information about the future status of a region and will be applicable for the planners of different water divisions. In this study, the MLP model and its hybrid form with the Imperialistic Competitive Algorithm have been (...)
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  4. Aiding Traffic Prediction Servers Through Self-Localization to Increase Stability in Complex Vehicular Clustering.Iftikhar Ahmad, Rafidah Md Noor, Roobaea Alroobaea, Muhammad Talha, Zaheed Ahmed, Umm-E.- Habiba & Ihsan Ali - 2021 - Complexity 2021:1-11.
    The integration of cellular networks and vehicular networks is complex and heterogeneous. Synchronization among vehicles in heterogeneous vehicular clusters plays an important role in effective data sharing and the stability of the cluster. This synchronization depends on the smooth exchange of information between vehicles and remote servers over the Internet. The remote servers predict road traffic patterns by adopting deep learning methods to help drivers on the roads. At the same time, local data processing at the vehicular cluster level may (...)
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  5. Designing of a Simulation Tool for the Performance Analysis of Hybrid Data Center Networks.Muhib Ahmad, Farrukh Zeeshan Khan, Zeshan Iqbal, Muneer Ahmad, Ihsan Ali, Sultan S. Alshamrani, Muhammad Talha & Muhammad Ahsan Raza - 2021 - Complexity 2021:1-13.
    Data center technology changes the mode of computing. Traditional DCs consist of a single layer and only have Ethernet connections among switches. Those old-fashioned DCs cannot fulfill the high resource demand compared with today’s DCs. The architectural design of the DCs is getting substantial importance and acting as the backbone of the network because of its essential feature of supporting and maintaining the rapidly increasing Internet-based applications which include search engines and social networking applications. Every application has its parameters, like (...)
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  6. Design and Implementation of Multilayer GIS Framework in Natural Resources Management: Red Sea Area.Thowiba E. Ahmed, K. M. Kheiralla, Fatima Rayan Awad Ahmed, Rashid A. Saeed & Hesham Alhumyani - 2021 - Complexity 2021:1-10.
    This study aims to create an integrated geographical information system database of natural resources represented by mining activities in the Red Sea area in Sudan. GIS is a vital tool to help the decision-makers in managing and classifying these resources in terms of quantity and quality within the concept of sustainable development. The paper extracts some models of investment map indicators. In addition to that, it conducts a study and research aimed at developing a mineral resources management and discovering and (...)
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  7. Bayesian Estimations Under the Weighted LINEX Loss Function Based on Upper Record Values.Fuad S. Al-Duais - 2021 - Complexity 2021:1-7.
    The essential objective of this research is to develop a linear exponential loss function to estimate the parameters and reliability function of the Weibull distribution based on upper record values when both shape and scale parameters are unknown. We perform this by merging a weight into LINEX to produce a new loss function called the weighted linear exponential loss function. Then, we utilized WLINEX to derive the parameters and reliability function of the WD. Next, we compared the performance of the (...)
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  8. SynoExtractor: A Novel Pipeline for Arabic Synonym Extraction Using Word2Vec Word Embeddings.Rawan N. Al-Matham & Hend S. Al-Khalifa - 2021 - Complexity 2021:1-13.
    Automatic synonym extraction plays an important role in many natural language processing systems, such as those involving information retrieval and question answering. Recently, research has focused on extracting semantic relations from word embeddings since they capture relatedness and similarity between words. However, using word embeddings alone poses problems for synonym extraction because it cannot determine whether the relation between words is synonymy or some other semantic relation. In this paper, we present a novel solution for this problem by proposing the (...)
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  9. Optimization of One-Step Block Method for Solving Second-Order Fuzzy Initial Value Problems.Safa Al-Refai, Muhammed I. Syam & Mohammed Al-Refai - 2021 - Complexity 2021:1-25.
    In this article, we present a one-step hybrid block method for approximating the solutions of second-order fuzzy initial value problems. We prove the stability and convergence results of the method and present several examples to illustrate the efficiency and accuracy of the proposed method. The numerical results are compared with the existing ones in the literature.
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  10.  1
    Bipolar Soft Sets: Relations Between Them and Ordinary Points and Their Applications.Tareq M. Al-Shami - 2021 - Complexity 2021:1-14.
    Bipolar soft set is formulated by two soft sets; one of them provides us the positive information and the other provides us the negative information. The philosophy of bipolarity is that human judgment is based on two sides, positive and negative, and we choose the one which is stronger. In this paper, we introduce novel belong and nonbelong relations between a bipolar soft set and an ordinary point. These relations are considered as one of the unique characteristics of bipolar soft (...)
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  11. Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches.Maha Al-Yahya, Hend Al-Khalifa, Heyam Al-Baity, Duaa AlSaeed & Amr Essam - 2021 - Complexity 2021:1-10.
    Fake news detection involves predicting the likelihood that a particular news article is intentionally deceptive. Arabic FND started to receive more attention in the last decade, and many detection approaches demonstrated some ability to detect fake news on multiple datasets. However, most existing approaches do not consider recent advances in natural language processing, i.e., the use of neural networks and transformers. This paper presents a comprehensive comparative study of neural network and transformer-based language models used for Arabic FND. We examine (...)
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  12.  3
    Using Sequence Mining to Predict Complex Systems: A Case Study in Influenza Epidemics.Theyazn H. H. Aldhyani, Manish R. Joshi, Shahab A. AlMaaytah, Ahmed Abdullah Alqarni & Nizar Alsharif - 2021 - Complexity 2021:1-16.
    According to the World Health Organisation, three to five million individuals are infected by influenza, and around 250,000 to 500,000 people die of this infectious disease worldwide. Influenza epidemics pose a serious public health threat. Moreover, graver dangers are encountered with influenza subtypes against which there is little or no preexisting human immunity. Such subtypes of influenza have the potential to cause devastating epidemics. Thus, enhancing surveillance systems for the purpose of detecting influenza epidemics in an early stage can quicken (...)
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  13. Semi-Analytical Solutions for the Diffusive Kaldor–Kalecki Business Cycle Model with a Time Delay for Gross Product and Capital Stock.H. Y. Alfifi - 2021 - Complexity 2021:1-10.
    This paper discusses the stability and Hopf bifurcation analysis of the diffusive Kaldor–Kalecki model with a delay included in both gross product and capital stock functions. The reaction-diffusion domain is considered, and the Galerkin analytical method is used to derive the system of ordinary differential equations. The methodology used to determine the Hopf bifurcation points is discussed in detail. Furthermore, full diagrams of the Hopf bifurcation regions considered in the stability analysis are shown, and some numerical simulations of the limit (...)
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  14. Partially Accelerated Model for Analyzing Competing Risks Data From Gompertz Population Under Type-I Generalized Hybrid Censoring Scheme.Abdulaziz S. Alghamdi - 2021 - Complexity 2021:1-12.
    In reliability engineering and lifetime analysis, many units of the product fail with different causes of failure, and some tests require stress higher than normal stress. Also, we need to design the life experiments which present methodology for formulating scientific and engineering problems using statistical models. So, in this paper, we adopted a partially constant stress accelerated life test model to present times to failure in a small period of time for Gompertz life products. Also, considering that, units are failing (...)
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  15. Real-Time System Prediction for Heart Rate Using Deep Learning and Stream Processing Platforms.Abdullah Alharbi, Wael Alosaimi, Radhya Sahal & Hager Saleh - 2021 - Complexity 2021:1-9.
    Low heart rate causes a risk of death, heart disease, and cardiovascular diseases. Therefore, monitoring the heart rate is critical because of the heart’s function to discover its irregularity to detect the health problems early. Rapid technological advancement allows healthcare sectors to consolidate and analyze massive health-based data to discover risks by making more accurate predictions. Therefore, this work proposes a real-time prediction system for heart rate, which helps the medical care providers and patients avoid heart rate risk in real (...)
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  16. Using Statistical Model to Study the Daily Closing Price Index in the Kingdom of Saudi Arabia.Hassan M. Aljohani & Azhari A. Elhag - 2021 - Complexity 2021:1-5.
    Classification in statistics is usually used to solve the problems of identifying to which set of categories, such as subpopulations, new observation belongs, based on a training set of data containing information whose category membership is known. The article aims to use the Gaussian Mixture Model to model the daily closing price index over the period of 1/1/2013 to 16/8/2020 in the Kingdom of Saudi Arabia. The daily closing price index over the period declined, which might be the effect of (...)
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  17. Marshall–Olkin Alpha Power Weibull Distribution: Different Methods of Estimation Based on Type-I and Type-II Censoring.Ehab M. Almetwally, Mohamed A. H. Sabry, Randa Alharbi, Dalia Alnagar, Sh A. M. Mubarak & E. H. Hafez - 2021 - Complexity 2021:1-18.
    This paper introduces the new novel four-parameter Weibull distribution named as the Marshall–Olkin alpha power Weibull distribution. Some statistical properties of the distribution are examined. Based on Type-I censored and Type-II censored samples, maximum likelihood estimation, maximum product spacing, and Bayesian estimation for the MOAPW distribution parameters are discussed. Numerical analysis using real data sets and Monte Carlo simulation are accomplished to compare various estimation methods. This novel model’s supremacy upon some famous distributions is explained using two real data sets (...)
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  18. The Weibull Generalized Exponential Distribution with Censored Sample: Estimation and Application on Real Data.Hisham M. Almongy, Ehab M. Almetwally, Randa Alharbi, Dalia Alnagar, E. H. Hafez & Marwa M. Mohie El-Din - 2021 - Complexity 2021:1-15.
    This paper is concerned with the estimation of the Weibull generalized exponential distribution parameters based on the adaptive Type-II progressive censored sample. Maximum likelihood estimation, maximum product spacing, and Bayesian estimation based on Markov chain Monte Carlo methods have been determined to find the best estimation method. The Monte Carlo simulation is used to compare the three methods of estimation based on the ATIIP-censored sample, and also, we made a bootstrap confidence interval estimation. We will analyze data related to the (...)
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  19. A New Lifetime Distribution: Properties, Copulas, Applications, and Different Classical Estimation Methods.Naif Alotaibi - 2021 - Complexity 2021:1-18.
    A new continuous version of the inverse flexible Weibull model is proposed and studied. Some of its properties such as quantile function, moments and generating functions, incomplete moments, mean deviation, Lorenz and Bonferroni curves, the mean residual life function, the mean inactivity time, and the strong mean inactivity time are derived. The failure rate of the new model can be “increasing-constant,” “bathtub-constant,” “bathtub,” “constant,” “J-HRF,” “upside down bathtub,” “increasing,” “upside down-increasing-constant,” and “upside down.” Different copulas are used for deriving many (...)
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  20. Early Detection of Seasonal Outbreaks From Twitter Data Using Machine Learning Approaches.Samina Amin, Muhammad Irfan Uddin, Duaa H. alSaeed, Atif Khan & Muhammad Adnan - 2021 - Complexity 2021:1-12.
    Seasonal outbreaks have several different periods that occur primarily during winter in temperate regions, while influenza may occur throughout the year in tropical regions, triggering outbreaks more irregularly. Similarly, dengue occurs in the star of the rainy season in early May and reaches its peak in late June. Dengue and flu brought an impact on various countries in the years 2017–2019 and streaming Twitter data reveals the status of dengue and flu outbreaks in the most affected regions. This research work (...)
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  21. Economic Interplay Forecasting Business Success.Nicola Amoroso, Loredana Bellantuono, Alfonso Monaco, Francesco De Nicolò, Ernesto Somma & Roberto Bellotti - 2021 - Complexity 2021:1-12.
    A startup ecosystem is a dynamic environment in which several actors, such as investors, venture capitalists, angels, and facilitators, are the protagonists of a complex interplay. Most of these interactions involve the flow of capital whose size and direction help to map the intricate system of relationships. This quantity is also considered a good proxy of economic success. Given the complexity of such systems, it would be more desirable to supplement this information with other informative features, and a natural choice (...)
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  22.  3
    A Two-Stage Offline-to-Online Multiobjective Optimization Strategy for Ship Integrated Energy System Economical/ Environmental Scheduling Problem.Qing An, Jun Zhang, Xin Li, Xiaobing Mao, Yulong Feng, Xiao Li, Xiaodi Zhang, Ruoli Tang & Hongfeng Su - 2021 - Complexity 2021:1-12.
    The economical/environmental scheduling problem of the ship integrated energy system has high computational complexity, which includes more than one optimization objective, various types of constraints, and frequently fluctuated load demand. Therefore, the intelligent scheduling strategies cannot be applied to the ship energy management system online, which has limited computing power and storage space. Aiming at realizing green computing on SEMS, in this paper a typical SIES-EESP optimization model is built, considering the form of decision vectors, the economical/environmental optimization objectives, and (...)
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  23. A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators.Beatriz Andres, Eduardo Guzman & Raul Poler - 2021 - Complexity 2021:1-16.
    In this article, a mixed integer linear program model is proposed for the production, lot sizing, and scheduling of automotive plastic components to minimize the setup, inventory, stockout, and backorder costs, by taking into account injection molds as the main index to schedule on parallel flexible injection machines. The proposed MILP considers the minimum and maximum inventory capacities and penalizes stockout. A relevant characteristic of the modeled problem is the dependence between mold setups to produce plastic components. The lot sizing (...)
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  24.  1
    Iterating Fixed Point Via Generalized Mann’s Iteration in Convex B-Metric Spaces with Application.A. Asif, M. Alansari, N. Hussain, M. Arshad & A. Ali - 2021 - Complexity 2021:1-12.
    This manuscript investigates fixed point of single-valued Hardy-Roger’s type F -contraction globally as well as locally in a convex b -metric space. The paper, using generalized Mann’s iteration, iterates fixed point of the abovementioned contraction; however, the third axiom of the F -contraction is removed, and thus the mapping F is relaxed. An important approach used in the article is, though a subset closed ball of a complete convex b -metric space is not necessarily complete, the convergence of the Cauchy (...)
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  25. Further Investigations on the Dynamics and Multistability Coexisted in a Memory-Based Cobweb Model.S. S. Askar - 2021 - Complexity 2021:1-13.
    Based on a nonlinear demand function and a market-clearing price, a cobweb model is introduced in this paper. A gradient mechanism that depends on the marginal profit is adopted to form the 1D discrete dynamic cobweb map. Analytical studies show that the map possesses four fixed points and only one attains the profit maximization. The stability/instability conditions for this fixed point are calculated and numerically studied. The numerical studies provide some insights about the cobweb map and confirm that this fixed (...)
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  26. On Comparing Between Two Nonlinear Cournot Duopoly Models.S. S. Askar - 2021 - Complexity 2021:1-15.
    The comparison between two nonlinear duopoly models constructed based on symmetric utility function that is derived from Cobb–Douglas is investigated in this paper. The first model consists of two firms which update their outputs using gradient-based mechanism called bounded rationality. The second model contains a bounded rational firm that is competing with a firm whose outputs depend on a trade-off between market share maximization and profit maximization. For the two models, the fixed points are calculated and their conditions of stability (...)
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  27. Fake Detect: A Deep Learning Ensemble Model for Fake News Detection.Nida Aslam, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej & Asma Khaled Aldubaikil - 2021 - Complexity 2021:1-8.
    Pervasive usage and the development of social media networks have provided the platform for the fake news to spread fast among people. Fake news often misleads people and creates wrong society perceptions. The spread of low-quality news in social media has negatively affected individuals and society. In this study, we proposed an ensemble-based deep learning model to classify news as fake or real using LIAR dataset. Due to the nature of the dataset attributes, two deep learning models were used. For (...)
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  28. A Linear Parameter Varying Control Approach for DC/DC Converters in All-Electric Boats.Soroush Azizi, Mohammad Hassan Asemani, Navid Vafamand, Saleh Mobayen & Mohammad Hassan Khooban - 2021 - Complexity 2021:1-12.
    Utilization of renewable energies in association with energy storage is increased in different applications such as electrical vehicles, electric boats, and smart grids. A robust controller strategy plays a significant role to optimally utilize the energy resources available in a power system. In this paper, a suitable controller for the energy resources of an EB which consists of a 5 kW solar power plant, 5 kW fuel cell, and 2 kW battery package is designed based on the linear parameter varying (...)
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  29. Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing Using Artificial Bee Colony Optimization.Mohammad Babar, Muhammad Sohail Khan, Ahmad Din, Farman Ali, Usman Habib & Kyung Sup Kwak - 2021 - Complexity 2021:1-12.
    Most of the IoT-based smart systems require low latency and crisp response time for their applications. Achieving the demand of this high Quality of Service becomes quite challenging when computationally intensive tasks are offloaded to the cloud for execution. Edge computing therein plays an important role by introducing low network latency, quick response, and high bandwidth. However, offloading computations at a large scale overwhelms the edge server with many requests and the scalability issue originates. To address the above issues, an (...)
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  30. From Linear Programming Approach to Metaheuristic Approach: Scaling Techniques.Elsayed Badr, Mustafa Abdul Salam, Sultan Almotairi & Hagar Ahmed - 2021 - Complexity 2021:1-10.
    The objective of this work is to propose ten efficient scaling techniques for the Wisconsin Diagnosis Breast Cancer dataset using the support vector machine. These scaling techniques are efficient for the linear programming approach. SVM with proposed scaling techniques was applied on the WDBC dataset. The scaling techniques are, namely, arithmetic mean, de Buchet for three cases p = 1,2, and ∞, equilibration, geometric mean, IBM MPSX, and Lp-norm for three cases p = 1,2, and ∞. The experimental results show (...)
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  31. Mediating Effect of Organizational Learning Capacity on the Relationship Between Relational Embeddedness and Innovation Performance in Freight Logistics Service.Pengxia Bai, Qunqi Wu, Qian Li, Chenlei Xue & Lei Zhang - 2021 - Complexity 2021:1-18.
    Cooperative innovation has become a critical method for freight logistics firms in supply chain management. The previous study has proved that relational embeddedness has a positive effect on service innovation performance. However, the influence of organizational learning capacity has been widely ignored. This study focuses on explaining the mechanism of OLC on the relationship between RE and innovation performance of freight logistics service. Firstly, a theoretical model is constructed based on Social Network Theory, and four research hypotheses are presented. Secondly, (...)
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  32. Sports Big Data: Management, Analysis, Applications, and Challenges.Zhongbo Bai & Xiaomei Bai - 2021 - Complexity 2021:1-11.
    With the rapid growth of information technology and sports, analyzing sports information has become an increasingly challenging issue. Sports big data come from the Internet and show a rapid growth trend. Sports big data contain rich information such as athletes, coaches, athletics, and swimming. Nowadays, various sports data can be easily accessed, and amazing data analysis technologies have been developed, which enable us to further explore the value behind these data. In this paper, we first introduce the background of sports (...)
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  33.  2
    Complex Service Process Optimization Based on Service Touchpoint Association and the Design Structure Matrix.Zhonghang Bai, Chang Liu, Huihui Sun & Man Ding - 2021 - Complexity 2021:1-19.
    Service process optimization is conducive to the innovation of enterprise services, but the poor logic design of multiple touchpoints can easily lead to problems in the service process, such as scattered layouts and repeated paths. Aiming at the promotion of service innovation and user experience, this paper takes the optimization of a single service touchpoint as the prerequisite and proposes a service process optimization method based on service touchpoint association and the design structure matrix. The association of service touchpoints is (...)
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  34. Improvement in Explicit Prediction of Water Quality Using Wavelet-Based LSSVR and M5pRT.Rashmi Bhardwaj & Aashima Bangia - 2021 - Complexity 2021:1-16.
    Imbalance in the pH of water reduces this precious resource as an extremely dangerous liquid for human health and plants’ growth. Change in the pH levels of the drinkable water has majorly raised concern towards diverse health issues like heart problems, infant mortality rates, pigmentation of skin, and cholera outbreaks. Therefore, it is necessary to keep a check on essential water quality components that include acidic/basic nature of water. As per the US Environmental Protection Agency, the drinkable water should have (...)
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  35. Algorithms for Computing Wiener Indices of Acyclic and Unicyclic Graphs.Bo Bi, Muhammad Kamran Jamil, Khawaja Muhammad Fahd, Tian-Le Sun, Imran Ahmad & Lei Ding - 2021 - Complexity 2021:1-6.
    Let G = V G, E G be a molecular graph, where V G and E G are the sets of vertices and edges. A topological index of a molecular graph is a numerical quantity which helps to predict the chemical/physical properties of the molecules. The Wiener, Wiener polarity, and the terminal Wiener indices are the distance-based topological indices. In this paper, we described a linear time algorithm that computes the Wiener index for acyclic graphs and extended this algorithm for (...)
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  36. Mixed ℋ -Infinity and Passive Synchronization of Markovian Jumping Neutral-Type Complex Dynamical Networks with Randomly Occurring Distributed Coupling Time-Varying Delays and Actuator Faults.N. Boonsatit, R. Sugumar, D. Ajay, G. Rajchakit, C. P. Lim, P. Hammachukiattikul, M. Usha & P. Agarwal - 2021 - Complexity 2021:1-19.
    This article examines mixed ℋ -infinity and passivity synchronization of Markovian jumping neutral-type complex dynamical network models with randomly occurring coupling delays and actuator faults. The randomly occurring coupling delays are considered to design the complex dynamical networks in practice. These delays complied with certain Bernoulli distributed white noise sequences. The relevant data including limits of actuator faults, bounds of the nonlinear terms, and external disturbances are available for designing the controller structure. Novel Lyapunov–Krasovskii functional is constructed to verify the (...)
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  37.  1
    ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition.Nada Boudjellal, Huaping Zhang, Asif Khan, Arshad Ahmad, Rashid Naseem, Jianyun Shang & Lin Dai - 2021 - Complexity 2021:1-6.
    The web is being loaded daily with a huge volume of data, mainly unstructured textual data, which increases the need for information extraction and NLP systems significantly. Named-entity recognition task is a key step towards efficiently understanding text data and saving time and effort. Being a widely used language globally, English is taking over most of the research conducted in this field, especially in the biomedical domain. Unlike other languages, Arabic suffers from lack of resources. This work presents a BERT-based (...)
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  38. MHD Mixed Convection Nanofluid Flow Over Convectively Heated Nonlinear Due to an Extending Surface with Soret Effect.Jamel Bouslimi, M. A. Abdelhafez, A. M. Abd-Alla, S. M. Abo-Dahab & K. H. Mahmoud - 2021 - Complexity 2021:1-20.
    The aim of this paper is to investigate the flow of MHD mixed convection nanofluid flow under nonlinear heated due to an extending surface. The transfer of heat in nanofluid subject to a magnetic field and boundary conditions of convective is studied to obtain the physical meaning of the convection phenomenon. The governing partial differential equations of the boundary layer are reduced to ordinary differential equations considering a technique of the transformation of similarity. The transformed equations are solved numerically considering (...)
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  39. An Improved Artificial Neural Network Model for Effective Diabetes Prediction.Muhammad Mazhar Bukhari, Bader Fahad Alkhamees, Saddam Hussain, Abdu Gumaei, Adel Assiri & Syed Sajid Ullah - 2021 - Complexity 2021:1-10.
    Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution of artificial neural networks in the medical discipline emerged for data-driven applications, particularly in the healthcare domain. It ranges from diagnosis of various diseases, medical image processing, decision support system, and disease prediction. The intention of conducting the research is to ascertain the impact of parameters on diabetes data to predict whether a particular patient has a disease or (...)
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  40. Corrigendum to “Mixing Dyadic and Deliberative Opinion Dynamics in an Agent-Based Model of Group Decision-Making”.George Butler, Juliette Rouchier & Gabriella Pigozzi - 2021 - Complexity 2021:1-1.
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  41.  1
    Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems.Muhammad Atif Butt, Asad Masood Khattak, Sarmad Shafique, Bashir Hayat, Saima Abid, Ki-Il Kim, Muhammad Waqas Ayub, Ahthasham Sajid & Awais Adnan - 2021 - Complexity 2021:1-11.
    In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection and traffic monitoring systems. However, these methods are trained on limited handcrafted features extracted from small datasets, which do not cater the real-time road traffic conditions. Deep learning-based classification systems have been proposed to incorporate the (...)
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  42. Parallel Implementations of Candidate Solution Evaluation Algorithm for N-Queens Problem.Jianli Cao, Zhikui Chen, Yuxin Wang & He Guo - 2021 - Complexity 2021:1-15.
    The N-Queens problem plays an important role in academic research and practical application. Heuristic algorithm is often used to solve variant 2 of the N-Queens problem. In the process of solving, evaluation of the candidate solution, namely, fitness function, often occupies the vast majority of running time and becomes the key to improve speed. In this paper, three parallel schemes based on CPU and four parallel schemes based on GPU are proposed, and a serial scheme is implemented at the baseline. (...)
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  43. Optimization of Intelligent English Pronunciation Training System Based on Android Platform.Qianyu Cao & Hanmei Hao - 2021 - Complexity 2021:1-11.
    Oral English, as a language tool, is not only an important part of English learning but also an essential part. For nonnative English learners, effective and meaningful voice feedback is very important. At present, most of the traditional recognition and error correction systems for oral English training are still in the theoretical stage. At the same time, the corresponding high-end experimental prototype also has the disadvantages of large and complex system. In the speech recognition technology, the traditional speech recognition technology (...)
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  44. Development and Evaluation of a Rehabilitation Wheelchair with Multiposture Transformation and Smart Control.Wujing Cao, Hongliu Yu, Xinyu Wu, Sujiao Li, Qiaoling Meng & Chunjie Chen - 2021 - Complexity 2021:1-14.
    Stroke and other neurological disorders have an effect on mobility which has a significant impact on independence and quality of life. The core rehabilitation requirements for patients with lower limb motor dysfunction are gait training, restand, and mobility. In this work, we introduce a newly developed multifunctional wheelchair that we call “ReChair” and evaluated its performance preliminarily. ReChair seamlessly integrates the mobility, gait training, and multiposture transformation. ReChair driving and multiposture transformation are done using the voice, button, and mobile terminal (...)
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  45. Ink Art Three-Dimensional Big Data Three-Dimensional Display Index Prediction Model.Xiaonan Cao - 2021 - Complexity 2021:1-10.
    This paper starts with the study of realistic three-dimensional models, from the two aspects of ink art style simulation model and three-dimensional display technology, explores the three-dimensional display model of three-dimensional model ink style, and conducts experiments through the software development platform and auxiliary software. The feasibility of the model is verified. Aiming at the problem of real-time rendering of large-scale 3D scenes in the model, efficient visibility rejection method and a multiresolution fast rendering method were designed to realize the (...)
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  46. Otsu’s Image Segmentation Algorithm with Memory-Based Fruit Fly Optimization Algorithm.Ruishuai Chai - 2021 - Complexity 2021:1-11.
    In this paper, the most common pepper noise in grayscale image noise is investigated in depth in the median filtering algorithm, and the improved median filtering algorithm, adaptive switching median filtering algorithm, and adaptive polar median filtering algorithm are applied to the OTSU algorithm. Two improved OTSU algorithms such as the adaptive switched median filter-based OTSU algorithm and the polar adaptive median filter-based OTSU algorithm are obtained. The experimental results show that the algorithm can better cope with grayscale images contaminated (...)
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  47. Design and Implementation of English Intelligent Communication Platform Based on Similarity Algorithm.Yujie Chai - 2021 - Complexity 2021:1-10.
    Intelligent communication processing in English aims to obtain effective information from unstructured text data using various text processing techniques. Text vector representation and text similarity calculation are important fundamental tasks in the whole field of natural language processing. In response to the shortcomings of existing sentence vector representation models and the singularity of text similarity algorithms, improved models and algorithms are proposed based on a thorough study of related domain technologies. This paper presents an in-depth and comprehensive study of text (...)
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  48. Prediction Approaches for Smart Cultivation: A Comparative Study.Amitabha Chakrabarty, Nafees Mansoor, Muhammad Irfan Uddin, Mosleh Hmoud Al-Adaileh, Nizar Alsharif & Fawaz Waselallah Alsaade - 2021 - Complexity 2021:1-16.
    Crop cultivation is one of the oldest activities of civilization. For a long time, crop production was carried out based on knowledge passed from generation to generation. However, due to the rapid growth in the human population of the world, human knowledge-based cultivation is not enough to meet the demanding need. To address this issue, the usage of machine learning-based tools has been studied in this paper. An experiment has been carried out over 0.3 million data. This dataset identifies 46 (...)
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  49.  1
    Predictive Trajectory-Based Mobile Data Gathering Scheme for Wireless Sensor Networks.Fan Chao, Zhiqin He, Renkuan Feng, Xiao Wang, Xiangping Chen, Changqi Li & Ying Yang - 2021 - Complexity 2021:1-17.
    Tradition wireless sensor networks transmit data by single or multiple hops. However, some sensor nodes close to a static base station forward data more frequently than others, which results in the problem of energy holes and makes networks fragile. One promising solution is to use a mobile node as a mobile sink, which is especially useful in energy-constrained networks. In these applications, the tour planning of MS is a key to guarantee the network performance. In this paper, a novel strategy (...)
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  50.  1
    The Impact of Different Government Subsidy Methods on Low-Carbon Emission Reduction Strategies in Dual-Channel Supply Chain.Cheng Che, Yi Chen, Xiaoguang Zhang & Zhihong Zhang - 2021 - Complexity 2021:1-9.
    With the implementation of national carbon emission reduction policies and the development of online shopping, manufacturers are making low-carbon efforts and selling products through dual channels. This paper constructs a dual-channel supply chain decision-making model composed of low-carbon emission reduction manufacturers and retailers and studies the optimal decision-making problem of the supply chain under subsidies by the government based on emission reduction R&D and per unit product emission reduction. The research results show the following: when the government subsidizes emission reduction (...)
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  51. Automatic Integrated Scoring Model for English Composition Oriented to Part-Of-Speech Tagging.Fei Chen - 2021 - Complexity 2021:1-13.
    Part-of-speech tagging for English composition is the basis for automatic correction of English composition. The performance of the part-of-speech tagging system directly affects the performance of the marking and analysis of the correction system. Therefore, this paper proposes an automatic scoring model for English composition based on article part-of-speech tagging. First, use the convolutional neural network to extract the word information from the character level and use this part of the information in the coarse-grained learning layer. Secondly, the word-level vector (...)
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  52.  1
    Earthquake Disaster Rescue Model Based on Complex Adaptive System Theory.Fujiang Chen, Jingang Liu & Junying Chen - 2021 - Complexity 2021:1-12.
    China is located in the intersection area of two seismic zones. Due to this special geographical location, earthquake disasters occur frequently in China. Earthquake emergency rescue work is one of the key construction works of disaster prevention and mitigation in China. This paper mainly studies the earthquake disaster rescue model based on the complex adaptive system theory and establishes the earthquake disaster rescue model by analyzing the complex adaptive system theory and combining the earthquake rescue process. In this paper, through (...)
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  53. Robust Stabilization of Stochastic Markovian Jump Systems with Distributed Delays.Guilei Chen, Zhenwei Zhang, Chao Li, Dianju Qiao & Bo Sun - 2021 - Complexity 2021:1-8.
    This paper addresses the robust stabilization problem for a class of stochastic Markovian jump systems with distributed delays. The systems under consideration involve Brownian motion, Markov chains, distributed delays, and parameter uncertainties. By an appropriate Lyapunov–Krasovskii functional, the novel delay-dependent stabilization criterion for the stochastic Markovian jump systems is derived in terms of linear matrix inequalities. When given linear matrix inequalities are feasible, an explicit expression of the desired state feedback controller is given. The designed controller, based on the obtained (...)
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  54.  1
    Deep ChaosNet for Action Recognition in Videos.Huafeng Chen, Maosheng Zhang, Zhengming Gao & Yunhong Zhao - 2021 - Complexity 2021:1-5.
    Current methods of chaos-based action recognition in videos are limited to the artificial feature causing the low recognition accuracy. In this paper, we improve ChaosNet to the deep neural network and apply it to action recognition. First, we extend ChaosNet to deep ChaosNet for extracting action features. Then, we send the features to the low-level LSTM encoder and high-level LSTM encoder for obtaining low-level coding output and high-level coding results, respectively. The agent is a behavior recognizer for producing recognition results. (...)
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  55.  1
    Synchronization of a Hyperchaotic Finance System.Huangen Chen, Lu Yu, Yilin Wang & Miaomei Guo - 2021 - Complexity 2021:1-7.
    In this article, we propose a series of control strategies to synchronize two chaotic financial systems. Due to the characteristics of chaotic systems, the system is very sensitive to its initial values. Thus, the behaviour of two systems with different initial values will be completely different. In order to realize the synchronization of two financial chaotic systems, we designed a series of controls including controllers to realize global asymptotic synchronization and controllers to realize global exponential synchronization to make the two (...)
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  56.  4
    Content-Enhanced Network Embedding for Academic Collaborator Recommendation.Jie Chen, Xin Wang, Shu Zhao & Yanping Zhang - 2021 - Complexity 2021:1-12.
    It is meaningful for a researcher to find some proper collaborators in complex academic tasks. Academic collaborator recommendation models are always based on the network embedding of academic collaborator networks. Most of them focus on the network structure, text information, and the combination of them. The latent semantic relationships exist according to the text information of nodes in the academic collaborator network. However, these relationships are often ignored, which implies the similarity of the researchers. How to capture the latent semantic (...)
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  57. Optimization of Internet of Things E-Commerce Logistics Cloud Service Platform Based on Mobile Communication.Jun Chen, Huan Wu, Xi Zhou, Maoguo Wu, Chenyang Zhao & Shiyan Xu - 2021 - Complexity 2021:1-11.
    E-commerce conceivable future trade, consumption, and service is a new digital employer mode. Therefore, in order to decorate the customary natural environment of operation, it is quintessential to get rid of the preferred desktop in the true field, create a social logistics and transportation administration computing device with commodity agents and distributors as the key features, and mix freight logistics, business enterprise approach waft and data waft advertising and marketing, and advertising and marketing organically. The notion of e-commerce logistics looks (...)
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  58. An Adaptive Parallel Method for Indexing Transportation Moving Objects.Kun-lun Chen, Chuan-wen Li, Guang Lu, Jia-Quan Li & Tong Zhang - 2021 - Complexity 2021:1-11.
    Transportation cyber-physical systems are constrained by spatiality and real-time because of their high level of heterogeneity. Therefore, applications like traffic control generally manage moving objects in a single-machine multithreaded manner, whereas suffering from frequent locking operations. To address this problem and improve the throughput of moving object databases, we propose a GPU-accelerated indexing method, based on a grid data structure, combined with quad-trees. We count object movements and decide whether a particular node should be split or be merged on the (...)
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  59.  3
    Single-Leg Structural Design and Foot Trajectory Planning for a Novel Bioinspired Quadruped Robot.Mingfang Chen, Qi Li, Sen Wang, Kaixiang Zhang, Hao Chen & Yongxia Zhang - 2021 - Complexity 2021:1-17.
    To meet the stability requirements for moving quadruped robots, it is important to design a rational structure for a single leg and plan the trajectory of the foot. First, a novel electrically driven leg mechanism for a quadruped robot is designed in this paper to reduce the inertia of the leg swing. Second, a modified foot trajectory based on a compound cycloid is proposed, which has swing-back and retraction motion and continuous velocity in the x-axis direction. Third, a Simulink platform (...)
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  60. Design and Collaborative Operation of Multimobile Inspection Robots in Smart Microgrids.Nankai Chen & Yaonan Wang - 2021 - Complexity 2021:1-11.
    This paper investigates the substation inspection problems of multimobile robots for large power stations in smart microgrids. Most multirobot inspection robots generally face the challenge of path planning, while the current widely used biological excitation neural network methods often have the defect of the neuronal active field near boundaries and obstacles. To end this, we propose an improved biological excitation neural network method for path planning based on a detailed architecture and ontology framework, through which the single-point inspection, multipoint inspection, (...)
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  61. Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video.Qingjie Chen & Minkai Dong - 2021 - Complexity 2021:1-13.
    In the research of motion video, the existing target detection methods are susceptible to changes in the motion video scene and cannot accurately detect the motion state of the target. Moving target detection technology is an important branch of computer vision technology. Its function is to implement real-time monitoring, real-time video capture, and detection of objects in the target area and store information that users are interested in as an important basis for exercise. This article focuses on how to efficiently (...)
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  62. Positive Periodic Solutions for a Class of Strongly Coupled Differential Systems with Singular Nonlinearities.Ruipeng Chen, Guangchen Zhang & Jiayin Liu - 2021 - Complexity 2021:1-6.
    This article studies the existence of positive periodic solutions for a class of strongly coupled differential systems. By applying the fixed point theory, several existence results are established. Our main findings generalize and complement those in the literature studies.
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  63. A Markov Chain Position Prediction Model Based on Multidimensional Correction.Sijia Chen, Jian Zhang, Fanwei Meng & Dini Wang - 2021 - Complexity 2021:1-8.
    User location prediction in location-based social networks can predict the density of people flow well in terms of intelligent transportation, which can make corresponding adjustments in time to make traffic smooth, reduce fuel consumption, reduce greenhouse gas emissions, and help build a green cycle low-carbon transportation green system. This paper proposes a Markov chain position prediction model based on multidimensional correction. Firstly, extract corresponding information from the user’s historical check-in position sequence as a position-position conversion map. Secondly, the influence of (...)
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  64.  3
    DefogNet: A Single-Image Dehazing Algorithm with Cyclic Structure and Cross-Layer Connections.Suting Chen, Wenhao Fan, Shaw Peter, Chuang Zhang, Kui Chen & Yong Huang - 2021 - Complexity 2021:1-13.
    Inspired by the application of CycleGAN networks to the image style conversion problem Zhu et al., this paper proposes an end-to-end network, DefogNet, for solving the single-image dehazing problem, treating the image dehazing problem as a style conversion problem from a fogged image to a nonfogged image, without the need to estimate a priori information from an atmospheric scattering model. DefogNet improves on CycleGAN by adding a cross-layer connection structure in the generator to enhance the network’s multiscale feature extraction capability. (...)
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  65. Distributed Event-Triggered Output Synchronization of Complex-Valued Memristive Reaction-Diffusion Complex Networks with Spatial Sampled-Data.Tiane Chen & Zaihe Cheng - 2021 - Complexity 2021:1-19.
    This study addresses the problem of output quasisynchronization for coupled complex-valued memristive reaction-diffusion complex networks via the distributed event-triggered control scheme. First, by using the separate method, set value mapping, and intermediate value theorem, the complex-valued memristive reaction-diffusion complex networks can be transferred into two semi-uncertain real-valued reaction-diffusion complex networks. Second, a distributed output piecewise event-triggered control scheme with spatial sampled-data is first proposed including a spatial sampling event-triggered generator and spatiotemporal sampling state feedback controller. Furthermore, this scheme can effectively (...)
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  66. Facial Expression Recognition Using Kernel Entropy Component Analysis Network and DAGSVM.Xiangmin Chen, Li Ke, Qiang Du, Jinghui Li & Xiaodi Ding - 2021 - Complexity 2021:1-12.
    Facial expression recognition plays a significant part in artificial intelligence and computer vision. However, most of facial expression recognition methods have not obtained satisfactory results based on low-level features. The existed methods used in facial expression recognition encountered the major issues of linear inseparability, large computational burden, and data redundancy. To obtain satisfactory results, we propose an innovative deep learning model using the kernel entropy component analysis network and directed acyclic graph support vector machine. We use the KECANet in the (...)
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  67. Synthetic Network and Search Filter Algorithm in English Oral Duplicate Correction Map.Xiaojun Chen - 2021 - Complexity 2021:1-12.
    Combining the communicative language competence model and the perspective of multimodal research, this research proposes a research framework for oral communicative competence under the multimodal perspective. This not only truly reflects the language communicative competence but also fully embodies the various contents required for assessment in the basic attributes of spoken language. Aiming at the feature sparseness of the user evaluation matrix, this paper proposes a feature weight assignment algorithm based on the English spoken category keyword dictionary and user search (...)
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  68. MAC Layer Energy Consumption and Routing Protocol Optimization Algorithm for Mobile Ad Hoc Networks.Yaohua Chen & Waixi Liu - 2021 - Complexity 2021:1-12.
    Mobile ad hoc network is a network composed of mobile terminals without infrastructure. Due to its fast-networking ability, it is widely used in smart cities, car networking, military, agriculture, medicine, and other fields. Routing technology is a key technology in the field of MANET. The energy consumption is optimized through the technical network simulator NS-3, and the nodes in the MANET routing protocol can accurately simulate the problem, thereby optimizing the MAC layer of important research tools. This article combines the (...)
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  69.  4
    Research on the Coordination Mechanism of Value Cocreation of Innovation Ecosystems: Evidence From a Chinese Artificial Intelligence Enterprise.Yu Chen, Yantai Chen, Yanlin Guo & Yanfei Xu - 2021 - Complexity 2021:1-16.
    This paper models the game process of the value cocreation of enterprises based on evolutionary game theory. The factors influencing value cocreation are found through mathematical analysis. Taking iFLYTEK as an example, a representative enterprise of artificial intelligence in China, six factors affecting value cocreation are verified, which are the excess return rate, the distribution coefficient of the excess return rate, coordination costs in the system, the cost-sharing coefficient, imitation costs, and penalties. These six factors have a profound impact on (...)
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  70.  3
    Dynamic Characteristic Analysis and Clutch Engagement Test of HMCVT in the High-Power Tractor.Yuan Chen, Yu Qian, Zhixiong Lu, Shuang Zhou, Maohua Xiao, Petr Bartos, Yeping Xiong, Guanghu Jin & Wei Zhang - 2021 - Complexity 2021:1-8.
    Hydromechanical continuously variable transmission is capable of bearing large torque and has wide transmission range, which is suitable for high-power tractors. Dynamic characteristics could influence the tractor life, especially in a high-power tractor. Wet clutch is the crucial component in the HMCVT, which could smooth and soft power transmission. Therefore, it is important to study the dynamic characteristics and implement the wet clutch test of HMCVT. In this paper, AMESim is used to establish virtual models of gearbox, pump-controlled hydraulic motor (...)
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  71. Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm.Yue Chen, Jiwen Cui, Xun Sun & Shihai Cui - 2021 - Complexity 2021:1-14.
    The coaxiality and unbalance are the two important indexes to evaluate the assembly quality of an aeroengine. It often needs to be tested and disassembled repeatedly to meet the double-objective requirements at the same time. Therefore, an intelligent assembly method is urgently needed to directly predict the optimal assembly orientations of the rotors at each stage to meet the double-objective requirements simultaneously. In this study, an assembly optimization method for the multistage rotor of an aeroengine is proposed based on the (...)
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  72.  2
    LPR-MLP: A Novel Health Prediction Model for Transmission Lines in Grid Sensor Networks.Yunliang Chen, Shaoqian Chen, Nian Zhang, Hao Liu, Honglei Jing & Geyong Min - 2021 - Complexity 2021:1-10.
    The safety of the transmission lines maintains the stable and efficient operation of the smart grid. Therefore, it is very important and highly desirable to diagnose the health status of transmission lines by developing an efficient prediction model in the grid sensor network. However, the traditional methods have limitations caused by the characteristics of high dimensions, multimodality, nonlinearity, and heterogeneity of the data collected by sensors. In this paper, a novel model called LPR-MLP is proposed to predict the health status (...)
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  73. Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model.Zhiqiang Chen & Qingguo Chen - 2021 - Complexity 2021:1-13.
    The introduction of multiple intelligence theory into sports professional football teaching is a requirement of educational innovation, which helps to expand and play the multiple functions of football, and can effectively improve the comprehensive quality of football professional science. Under the perspective of multiple intelligence theory, college sports professional football teaching will focus on the all-round development of students, actively cultivate students’ multiple intelligence, and reflect the democratization, individualization, and diversification of teaching in the process of educational concept innovation. This (...)
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  74. The Dynamic Impacts of the Global Shipping Market Under the Background of Oil Price Fluctuations and Emergencies.Zihan Chen, Xiaokong Zhang & Jian Chai - 2021 - Complexity 2021:1-13.
    With growing uncertainty about the evolution of the global landscape, it is of great practical significance to explore the nonlinear dynamic adjustment relationship among the world oil market, the global bulk shipping market, the stock market, and economic growth in China. This paper applied the TVP-SV-VAR model and selected quarterly data from 1998 to 2020 to explore the dynamics. The results indicated that the impact intensity of BDI on China’s economy had a “positive” to “negative” change in different lag periods. (...)
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  75. Adaptive Algorithm Recommendation and Application of Learning Resources in English Fragmented Reading.Jinyu Cheng & Hong Wang - 2021 - Complexity 2021:1-11.
    This paper firstly designs a five-dimensional model of learners’ characteristics and a three-dimensional model of English reading resources’ characteristics in a fragmented learning environment through literature research. At the same time, to make the learning resources meet the characteristics of fragmented learning time and space, the English Level 4 reading resources are reasonably designed and segmented to adapt to the needs of learners’ mobile fragmented learning. Then, combined with machine learning algorithms, an adaptive recommendation model of learning resources in English (...)
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  76. An Urban Network Study of Government Procurement Activities: A Case Study of Northeast China.Lisha Cheng, Daoqin Tong, Xuepeng Ji & Shijun Wang - 2021 - Complexity 2021:1-13.
    Urban networks have been widely examined using infrastructure connection and firm connection data. In particular, urban networks constructed based on firm connection data have been used to depict the circulation of capital, information, personnel, and products between cities. Existing studies on firm connection networks rely on either inter- or intrafirm relationships. However, there exist various important extra-firm relationships, such as those between firms and governments, research institutions, and nonprofit organizations. This study innovatively incorporates the extra-firm relationships between governments and firms (...)
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  77.  1
    Using Clustering Analysis and Association Rule Technology in Cross-Marketing.Yang Cheng, Ming Cheng, Tao Pang & Sizhen Liu - 2021 - Complexity 2021:1-11.
    In this paper, according to the perspective of customers and products, by using clustering analysis and association rule technology, this paper proposes a cross-marketing model based on an improved sequential pattern mining algorithm, where an improved algorithm AP is applied. The algorithm can reduce the time cost of constructing a projection database and the influence of the increase of support on the algorithm efficiency. The improved idea is that when the first partition is used to generate the projection database, the (...)
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  78. Distribution of Large-Scale English Test Scores Based on Data Mining.Na Chu & Wanzhi Ma - 2021 - Complexity 2021:1-10.
    Data mining technology is an effective knowledge mining and data relationship induction technology based on massive data, which is widely used in data analysis in many fields. In order to improve the utilization effect of students’ performance and meet the teaching needs of modern education, data mining technology can be applied to the existing performance database to mine the data information and treatment. Data mining technology is used to analyse and process the data stored in the student achievement management system, (...)
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  79. Data Analysis of College Students’ Mental Health Based on Clustering Analysis Algorithm.Yichen Chu & Xiaojian Yin - 2021 - Complexity 2021:1-10.
    Mental health is an important basic condition for college students to become adults. Educators gradually attach importance to strengthening the mental health education of college students. This paper makes a detailed analysis and research on college students’ mental health, expounds the development and application of clustering analysis algorithm, applies the distance formula and clustering criterion function commonly used in clustering analysis, and makes a specific description of some classic algorithms of clustering analysis. Based on expounding the advantages and disadvantages of (...)
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  80. A Specific Algorithm Based on Motion Direction Prediction.Zhesen Chu & Min Li - 2021 - Complexity 2021:1-11.
    In this paper, we study the estimation of motion direction prediction for fast motion and propose a threshold-based human target detection algorithm using motion vectors and other data as human target feature information. The motion vectors are partitioned into regions by normalization to form a motion vector field, which is then preprocessed, and then the human body target is detected through its motion vector region block-temporal correlation to detect the human body motion target. The experimental results show that the algorithm (...)
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  81. Research on Sustainable Development Ability and Spatial-Temporal Differentiation of Urban Human Settlements in China and Japan Based on SDGs, Taking Dalian and Kobe as Examples.Xueping Cong, Xueming Li, Songbo Li & Yilu Gong - 2021 - Complexity 2021:1-22.
    The sustainable development of the human settlements has become a global universal program. The comparison of cities in different countries is of great significance to provide international experience for future urban construction. Combined with the UN 2030 Sustainable Development Goals, this paper establishes an evaluation index system for the sustainable development ability of urban HS and constructs a three-dimensional research framework of “development-coordination-sustainability,” which compares the sustainable development ability of the HS of Dalian, China, and Kobe, Japan, from 2005 to (...)
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  82. Chimeras and Clusters Emerging From Robust-Chaos Dynamics.M. G. Cosenza, O. Alvarez-Llamoza & A. V. Cano - 2021 - Complexity 2021:1-10.
    We show that dynamical clustering, where a system segregates into distinguishable subsets of synchronized elements, and chimera states, where differentiated subsets of synchronized and desynchronized elements coexist, can emerge in networks of globally coupled robust-chaos oscillators. We describe the collective behavior of a model of globally coupled robust-chaos maps in terms of statistical quantities and characterize clusters, chimera states, synchronization, and incoherence on the space of parameters of the system. We employ the analogy between the local dynamics of a system (...)
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  83. Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview.Róbert Csalódi, Zoltán Süle, Szilárd Jaskó, Tibor Holczinger & János Abonyi - 2021 - Complexity 2021:1-22.
    The Fourth Industrial Revolution means the digital transformation of production systems. Cyber-physical systems allow for the horizontal and vertical integration of these production systems as well as the exploitation of the benefits via optimization tools. This article reviews the impact of Industry 4.0 solutions concerning optimization tasks and optimization algorithms, in addition to the identification of the new R&D directions driven by new application options. The basic organizing principle of this overview of the literature is to explore the requirements of (...)
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  84. Intelligent Coordination Distribution of the Whole Supply Chain Based on the Internet of Things.Hongxiu Cui - 2021 - Complexity 2021:1-12.
    In this paper, through the intelligent research of the whole process of logistics and distribution with the Internet of Things supply chain, we study how to improve the development of the cold chain, reduce the loss in circulation, improve the social and economic benefits, and carry out intelligent information collection, monitoring, management, and information tracing of the whole cold chain. This paper analyzes and empirically studies the impact of key technologies of the Internet of Things in cold chain coordination from (...)
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  85. Dynamic Analysis and FPGA Implementation of New Chaotic Neural Network and Optimization of Traveling Salesman Problem.Li Cui, Chaoyang Chen, Jie Jin & Fei Yu - 2021 - Complexity 2021:1-10.
    A neural network is a model of the brain’s cognitive process, with a highly interconnected multiprocessor architecture. The neural network has incredible potential, in the view of these artificial neural networks inherently having good learning capabilities and the ability to learn different input features. Based on this, this paper proposes a new chaotic neuron model and a new chaotic neural network model. It includes a linear matrix, a sine function, and a chaotic neural network composed of three chaotic neurons. One (...)
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  86. New Models for Home Health Care Under Uncertainty with Consideration of the Coordinated Development of Economy and Environment.Yan Cui, Lijun Zhang, Qiuye Gao, Bohao Li & Yumei Hou - 2021 - Complexity 2021:1-15.
    With the aggravation of population aging, home health care services are paid more and more attention by the elderly. Previous studies aim at improving service quality and reducing cost, ignoring the coordinated and sustainable development of the economy and environment. From the perspective of sustainable development, this paper first establishes a linear optimization model considering transportation, time, and carbon emission costs. However, the uncertainty of service demand is a very difficult problem for HHC research. Most of the previous studies only (...)
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  87. Performance Optimization of Cloud Data Centers with a Dynamic Energy-Efficient Resource Management Scheme.Yu Cui, Shunfu Jin, Wuyi Yue & Yutaka Takahashi - 2021 - Complexity 2021:1-18.
    As an advanced network calculation mode, cloud computing is becoming more and more popular. However, with the proliferation of large data centers hosting cloud applications, the growth of energy consumption has been explosive. Surveys show that a remarkable part of the large energy consumed in data center results from over-provisioning of the network resource to meet requests during peak demand times. In this paper, we propose a solution to this problem by constructing a dynamic energy-efficient resource management scheme. As a (...)
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  88. Coordination Mechanisms for the Two-Echelon Newsvendor Model with Rapidly Responsive and Strategic Consumers.Dai Dai, Xinyu Gou & Qiang Wei - 2021 - Complexity 2021:1-15.
    Aiming at the two-echelon newsvendor problem in which the market demand of commodities is random both in normal sales period and in liquidation period, this paper studies the pricing and ordering decision of retailers by using rational expectation equilibrium under the condition of considering consumersʼ strategic behavior and rapid response mechanism. Then, the decision-making problem under retailersʼ initial order quantity commitment is discussed, as well as the effect of commitment mechanism on supply chain performance. On this basis, both the two-part (...)
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  89. Modeling and Simulation of Athlete’s Error Motion Recognition Based on Computer Vision.Luo Dai - 2021 - Complexity 2021:1-10.
    Computer vision is widely used in manufacturing, sports, medical diagnosis, and other fields. In this article, a multifeature fusion error action expression method based on silhouette and optical flow information is proposed to overcome the shortcomings in the effectiveness of a single error action expression method based on the fusion of features for human body error action recognition. We analyse and discuss the human error action recognition method based on the idea of template matching to analyse the key issues that (...)
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  90.  1
    Development and Supervision of Robo-Advisors Under Digital Financial Inclusion in Complex Systems.Wensheng Dai - 2021 - Complexity 2021:1-12.
    With the rapid development of the market economy, there are more and more projects in the financial industry, and their complexity and technical requirements are getting higher and higher. The development of computer technology has promoted the birth of robot consultants, and it is of great significance to use robot consultants to manage and supervise financial industry projects. In order to further analyze the development and supervision of robo-advisors under the digital inclusive financial system, this paper uses complex systems and (...)
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  91. Complexity Computer Simulation in the Study of the Overall Playing Method of Campus Football.Zhao Dai - 2021 - Complexity 2021:1-9.
    With the mutual exchange and integration of world football, modern football is in an increasingly comprehensive direction. This research mainly discusses complexity computer simulation in the study of the overall play of campus football. Complexity computer simulation is used to design the background of the simulated football field, and the area is divided according to the size ratio of the actual football field. Then, it uses drawing software to draw the football and player controls. The construction of the knowledge base (...)
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  92. Complexity Relationship Between Power and Trust in Hybrid Megaproject Governance: The Structural Equation Modelling Approach.Binchao Deng, Wenwen Xie, Fan Cheng, Jiaojiao Deng & Liang Long - 2021 - Complexity 2021:1-13.
    Intra-organization and inter-organization collaboration and governance are becoming increasingly important for megaprojects. Different stakeholders form intricate links in a network structure. This study explores the role and effect of hybrid governance on complex network projects, such as urban rail transit projects. This included conducting a questionnaire survey with 116 professionals from organizations involved in urban rail transit projects and adopting structural equation modelling to analyze the data. The results analyzed the levels of intra-organization and inter-organization trust under the conditions of (...)
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  93. Anomaly Detection of Highway Vehicle Trajectory Under the Internet of Things Converged with 5G Technology.Ketao Deng - 2021 - Complexity 2021:1-12.
    The gradual increase in the density of highway vehicles and traffic flow makes the abnormal driving state of vehicles an indispensable tool for assisting traffic dispatch. Intelligent transportation systems can detect and track vehicles in real time, acquire characteristics such as vehicle traffic, vehicle speed, vehicle flow density, and vehicle trajectory, and further perform advanced tasks such as vehicle trajectory. The detection of abnormal vehicle trajectory is an important content of vehicle trajectory understanding. And the development of the Internet of (...)
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  94.  2
    Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault.Xin Deng, Xiaoping Liu, Yang Cui & Cungen Liu - 2021 - Complexity 2021:1-11.
    In this paper, an adaptive fuzzy containment condtrol is considered for nonlinear multiagent systems, in which it contains the unknown control coefficient and actuator fault. The uncertain nonlinear function has been approximated by fuzzy logic system. The unknown control coefficient and the remaining control rate of actuator fault can be solved by introducing a Nussbaum function. In order to avoid the repeated differentiations of the virtual controllers, first-order filters are added to the traditional backstepping control method. By designing the maximum (...)
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  95. Empirical Analysis of the Matching Degree Between Energy Equipment Manufacturing and Market Demand: A Global Perspective.Yirui Deng, Yimin Chen & Guowei Gao - 2021 - Complexity 2021:1-13.
    The study of matching degree between energy equipment manufacturing and market demand is crucial for energy enterprises to adjust business strategies, expand market share, and develop sustainably. Considering that the current electricity market evaluation indicators are rarely selected from a global perspective and a single evaluation method may lead to one-sided results, this article takes the technology and equipment related to electric energy as the research object and selects six indicators, including technical standards, qualification certification, export methods, after-sales service, market (...)
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  96. Adaptive Integral-Based Robust Q-S Synchronization and Parameter Identification of Nonlinear Hyperchaotic Complex Systems.Sami Ud Din, Muhammad Rafiq Mufti, Humaira Afzal, Majid Ali & Muhammad Abdul Moiz Zia - 2021 - Complexity 2021:1-17.
    This communique presents the Q-S synchronization of two nonidentical complex nonlinear hyperchaotic systems with unknown parameters. An adaptive controller based on adaptive integral sliding mode control and parameter update laws are designed to realize the synchronization and parameter identification to a given map vector. The aforementioned strategy’s employment demands the transformation of a system into a specific structure containing a nominal part and some unknown terms. An integral sliding mode controller is used to stabilize the error system by designing nominal (...)
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  97.  1
    Averaged Soft Actor-Critic for Deep Reinforcement Learning.Feng Ding, Guanfeng Ma, Zhikui Chen, Jing Gao & Peng Li - 2021 - Complexity 2021:1-16.
    With the advent of the era of artificial intelligence, deep reinforcement learning has achieved unprecedented success in high-dimensional and large-scale artificial intelligence tasks. However, the insecurity and instability of the DRL algorithm have an important impact on its performance. The Soft Actor-Critic algorithm uses advanced functions to update the policy and value network to alleviate some of these problems. However, SAC still has some problems. In order to reduce the error caused by the overestimation of SAC, we propose a new (...)
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  98. The Influence of Social Class on University Students’ Prosocial Behavior Based on the Game Perspective.Hao Ding, Feng Xu & Jia-Ming Zhu - 2021 - Complexity 2021:1-10.
    In the present research, based on the game research paradigm, the research tools are the dictator game and the trust game, and the research objects are Chinese university students. We adopt 2 × 2 between-subjects design experiment to investigate the influence of social class on university students’ prosocial behavior. Across the experimental study, we find that in the two situations of dictator game and trust game, self-social class has no significant influence on university students’ prosocial behavior; in the situation of (...)
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  99. Practical Research on the Application of Sponge City Reconstruction in Pocket Parks Based on the Analytic Hierarchy Process.Kun Ding & Yuan Zhang - 2021 - Complexity 2021:1-10.
    The rainwater system is an important part of the urban infrastructure as well as a key hub for maintaining the dynamic operation of the city and a clear indicator of the level of urban development. With the rapid development of urbanization, the hardened area of roads and residential areas has increased, and the construction of rainwater systems is so far insufficient, causing the urban waterlogging and water pollution problems to become increasingly serious. Accordingly, combined with the “sponge city” construction concept (...)
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  100. Basin of Attraction Analysis of New Memristor-Based Fractional-Order Chaotic System.Long Ding, Li Cui, Fei Yu & Jie Jin - 2021 - Complexity 2021:1-9.
    Memristor is the fourth basic electronic element discovered in addition to resistor, capacitor, and inductor. It is a nonlinear gadget with memory features which can be used for realizing chaotic, memory, neural network, and other similar circuits and systems. In this paper, a novel memristor-based fractional-order chaotic system is presented, and this chaotic system is taken as an example to analyze its dynamic characteristics. First, we used Adomian algorithm to solve the proposed fractional-order chaotic system and yield a chaotic phase (...)
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  101. Development of a Complex Network-Based Integrated Multilayer Urban Growth and Optimisation Model for an Efficient Urban Traffic Network.Rui Ding, Yilin Zhang, Ting Zhang & Can Ma - 2021 - Complexity 2021:1-16.
    Previous research studies of traffic networks are mainly based on planar networks and less considered the influence of multilayer networks, which illustrate and represent different appropriate urban traffic modes. Development of rail and road networks is inseparable from the development of a prosperous urban area; thus, research on multilayer networks has scientific potential and fulfils a real need. In this paper, a framework of complex network based integrated multilayer urban growth and optimisation model is proposed, to analyse the complex relationships (...)
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  102.  1
    Identification of Self-Organized Critical State on Twitter Based on the Retweets’ Time Series Analysis.Andrey Dmitriev & Victor Dmitriev - 2021 - Complexity 2021:1-12.
    There is a number of studies, in which it is established that the observed flows of microposts generated by microblogging social networks are characterized by avalanche-like behavior. Time series of microposts depicting such streams are the time series with a power-law distribution, with 1/f noise and long memory. Despite this, there are no studies devoted to the detection and analysis of self-organized critical state, subcritical phase, and supercritical phase. The presented paper is devoted to the detection and investigation of such (...)
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  103.  2
    Optimization of Crude Oil Trade Structure: A Complex Network Analysis.Gaogao Dong, Ting Qing, Lixin Tian, Ruijin Du & Jingjing Li - 2021 - Complexity 2021:1-11.
    With the contradiction between supply and demand being intensified, the unreasonable crude oil trade structure has become increasingly prominent. Therefore, optimizing the supply and demand structure of the global crude oil trade is an urgent problem, which has become one of the crucial factors affecting the energy strategy and economic development of each country. This paper builds an optimization model that aims at minimizing crude oil trade costs based on the complex network theory. Meanwhile, an optimal solution generation approach is (...)
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  104. Impact of Patent Infringement Compensation Rules on Patent Quality Problems.Liang Dong & Helin Pan - 2021 - Complexity 2021:1-12.
    Compensation rules for patent infringement greatly affect patent quality, which is closely related to R & D investments. In this study, A duopoly game model was developed to analyze innovative factories’ R&D investment and patent licensing behavior, as well as the strategic choices of potential infringers under different compensation rules for patent infringement. Furthermore, a comparative analysis was conducted to analyze the patent quality under different scenarios, ultimately finalizing an optimal sequence rule for patent infringement compensation. The results show that (...)
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  105. Construction of Mobile E-Commerce Platform and Analysis of Its Impact on E-Commerce Logistics Customer Satisfaction.Zhonghui Dong - 2021 - Complexity 2021:1-13.
    With the development of mobile network communication technology, online shopping has further become the mainstream way of mass consumption. To this end, this article attempts to start from the innovation of e-commerce platform, uses today’s Internet of Things, collects relevant information, and collects relevant data through smart sensors, to establish a mobile e-commerce platform and analyze and explore the impact of e-commerce logistics customer satisfaction of factors revolve around e-commerce logistics. This article uses smart sensor technology to mine and analyze (...)
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  106. Estimation of Daily Suspended Sediment Load Using a Novel Hybrid Support Vector Regression Model Incorporated with Observer-Teacher-Learner-Based Optimization Method.Siyamak Doroudi, Ahmad Sharafati & Seyed Hossein Mohajeri - 2021 - Complexity 2021:1-13.
    Predicting suspended sediment load in water resource management requires efficient and reliable predicted models. This study considers the support vector regression method to predict daily suspended sediment load. Since the SVR has unknown parameters, the observer-teacher-learner-based Optimization method is integrated with the SVR model to provide a novel hybrid predictive model. The SVR combined with the genetic algorithm is used as an alternative model. To explore the performance and application of the proposed models, five input combinations of rainfall and discharge (...)
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  107. Dynamical Hybrid System for Optimizing and Controlling Efficacy of Plant-Based Protein in Aquafeeds.Serge Dossou, Mahmoud A. O. Dawood, Amr I. Zaineldin, Ibrahim A. Abouelsaad, Kumbukani Mzengereza, Ronick S. Shadrack, Yukun Zhang, Mohamed El-Sharnouby, Hamada A. Ahmed & Mohammed F. El Basuini - 2021 - Complexity 2021:1-7.
    In this paper, a mathematical model was used to evaluate a dynamical hybrid system for optimizing and controlling the efficacy of plant-based protein in aquafeeds. Fishmeal, raw rapeseed meal, and a fermented meal with yeast and fungi were used as test ingredients for the determination of apparent digestibility coefficients of dry matter, crude protein, crude lipid, energy, and essential amino acids for olive flounder using diets containing 0.5% Cr2O3 as an inert indicator. Among all ingredients tested, FM had the maximum (...)
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  108. An Improved Prediction Model of IGBT Junction Temperature Based on Backpropagation Neural Network and Kalman Filter.Yu Dou - 2021 - Complexity 2021:1-10.
    With the rapid development of emerging technologies such as electric vehicles and high-speed railways, the insulated gate bipolar transistor is becoming increasingly important as the core of the power electronic devices. Therefore, it is imperative to maintain the stability and reliability of IGBT under different circumstances. By predicting the junction temperature of IGBT, the operating condition and aging degree can be roughly evaluated. However, the current predicting approaches such as optical, physical, and electrical methods have various shortcomings. Hence, the backpropagation (...)
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  109. A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon.Maokang Du, Xiaoguang Li & Longyan Luo - 2021 - Complexity 2021:1-11.
    Sentiment analysis has been widely used in text mining of social media to discover valuable information from user reviews. Sentiment lexicon is an essential tool for sentiment analysis. Recent research studies indicate that constructing sentiment lexicons for special domains can achieve better results in sentiment analysis. However, it is not easy to construct a sentiment lexicon for a specific domain because most current methods highly depend on general sentiment lexicons and complex linguistic rules. In this paper, the construction of sentiment (...)
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  110. Financial Crisis Early Warning Based on Panel Data and Dynamic Dual Choice Model.Qingyu Du - 2021 - Complexity 2021:1-10.
    Based on the research of currency crisis pressure index, bank crisis pressure index, and asset bubble crisis pressure index, this paper introduces an external shock pressure index reflecting the impact of global economic changes on economy and synthesizes systemic financial crisis pressure based on the above four pressure indexes; then, all the alternative early warning indicators and the systemic risk pressure index constructed in this paper were tested for Granger causality. We build financial systemic risk pressure indexes, including currency crisis (...)
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  111. A Stochastic Switched Epidemic Model with Two Epidemic Diseases.Amine El Koufi, Abdelkrim Bennar & Noura Yousfi - 2021 - Complexity 2021:1-13.
    In this paper, we study a stochastic epidemic model with double epidemics which includes white noise and telegraph noise modeled by Markovian switching. Sufficient conditions for the extinction and persistence of the diseases are established. In the end, some numerical simulations are presented to demonstrate our analytical results.
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  112.  2
    Chaos Prediction in Fractional Delayed Energy-Based Models of Capital Accumulation.Mohamed El-Borhamy, Tamer Medhat & Manal E. Ali - 2021 - Complexity 2021:1-14.
    This paper presents the nonlinear dynamic analysis of energy-based models arisen from the applied systems characterized by the energy transport in the presence of fractional order derivative and time delay. The studied model is the fractional version of Bianca-Ferrara-Dalgaard-Strulik model of economy which is viewed as a transport network for energy in which the law of motion of capital occurs. By considering the time delay as bifurcation parameter, a proof to investigate the existence of Hopf bifurcation and the phase lock (...)
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  113.  1
    Constrained Multiobjective Equilibrium Optimizer Algorithm for Solving Combined Economic Emission Dispatch Problem.M. A. El-Shorbagy & A. A. Mousa - 2021 - Complexity 2021:1-14.
    This research implements a recent evolutionary-based algorithm of equilibrium optimizer to resolve the constrained combined economic emission dispatch problem. This problem has two objective functions that represent the minimizing of generation costs and minimizing the emission of environmental pollution caused by generators. The proposed algorithm integrates the dominant criteria for multiobjective functions that allow the decision-maker to detect all the Pareto boundaries of constrained combined economic emission dispatch problem. In order to save the effort for the decision-maker to select the (...)
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  114.  1
    Polynomials and General Degree-Based Topological Indices of Generalized Sierpinski Networks.Chengmei Fan, M. Mobeen Munir, Zafar Hussain, Muhammad Athar & Jia-Bao Liu - 2021 - Complexity 2021:1-10.
    Sierpinski networks are networks of fractal nature having several applications in computer science, music, chemistry, and mathematics. These networks are commonly used in chaos, fractals, recursive sequences, and complex systems. In this article, we compute various connectivity polynomials such as M -polynomial, Zagreb polynomials, and forgotten polynomial of generalized Sierpinski networks S k n and recover some well-known degree-based topological indices from these. We also compute the most general Zagreb index known as α, β -Zagreb index and several other general (...)
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  115. Image Recognition and Simulation Based on Distributed Artificial Intelligence.Tao Fan - 2021 - Complexity 2021:1-11.
    This paper studies the traditional target classification and recognition algorithm based on Histogram of Oriented Gradients feature extraction and Support Vector Machine classification and applies this algorithm to distributed artificial intelligence image recognition. Due to the huge number of images, the general detection speed cannot meet the requirements. We have improved the HOG feature extraction algorithm. Using principal component analysis to perform dimensionality reduction operations on HOG features and doing distributed artificial intelligence image recognition experiments, the results show that the (...)
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  116. Personalized Recommendation Model of High-Quality Education Resources for College Students Based on Data Mining.Chaohua Fang & Qiuyun Lu - 2021 - Complexity 2021:1-11.
    With the rapid development of information technology and data science, as well as the innovative concept of “Internet+” education, personalized e-learning has received widespread attention in school education and family education. The development of education informatization has led to a rapid increase in the number of online learning users and an explosion in the number of learning resources, which makes learners face the dilemma of “information overload” and “learning lost” in the learning process. In the personalized learning resource recommendation system, (...)
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  117. Nonlinear Model Predictive Control for Pumped Storage Plants Based on Online Sequential Extreme Learning Machine with Forgetting Factor.Chen Feng, Chaoshun Li, Li Chang, Zijun Mai & Chunwang Wu - 2021 - Complexity 2021:1-19.
    With renewable energy being increasingly connected to power grids, pumped storage plants play a very important role in restraining the fluctuation of power grids. However, conventional control strategy could not adapt well to the different control tasks. This paper proposes an intelligent nonlinear model predictive control strategy, in which hydraulic-mechanical and electrical subsystems are combined in a synchronous control framework. A newly proposed online sequential extreme learning machine algorithm with forgetting factor is introduced to learn the dynamic behaviors of the (...)
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  118. The Accurate Repair of Image Contour of Human Motion Tracking Based on Improved Snake Model.Ning Feng & Ping Gao - 2021 - Complexity 2021:1-10.
    With the rapid development of sports science, human motion recognition technology, as a new biometric recognition technology, has many advantages, such as noncontact target, long recognition distance, secret recognition process, and so on. Traditional human motion recognition technology is affected by environmental factors such as motion background, which is prone to rough edges of the recognized objects and loss of motion tracking information, thus further reducing the recognition accuracy. In this paper, the traditional snake model will be improved and optimized (...)
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  119. The Traffic Capacity Variation of Urban Road Network Due to the Policy of Unblocking Community.Xin Feng, Yue Zhang, Shuo Qian & Liming Sun - 2021 - Complexity 2021:1-12.
    At present, urban traffic congestion is a common problem of urban development in China. Therefore, China’s government issued the policy of opening the gated communities in 2016, hoping to alleviate traffic pressure to some extent. But, at present, the quantitative empirical research on the effect of the policy implementation is less and more idealistic. In order to complete the leap from research on local isolated traffic capacity of static gated communities to research on global coupling traffic capacity of dynamic multilayer (...)
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  120.  1
    The MGHSS for Solving Continuous Sylvester Equation A X + X B = C.Yu-Ye Feng, Qing-Biao Wu & Xue-Na Jing - 2021 - Complexity 2021:1-8.
    This paper proposes the modified generalization of the HSS to solve a large and sparse continuous Sylvester equation, improving the efficiency and robustness. The analysis shows that the MGHSS converges to the unique solution of AX + XB = C unconditionally. We also propose an inexact variant of the MGHSS and prove its convergence under certain conditions. Numerical experiments verify the efficiency of the proposed methods.
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  121.  1
    Using Multioutput Learning to Diagnose Plant Disease and Stress Severity.Gianni Fenu & Francesca Maridina Malloci - 2021 - Complexity 2021:1-11.
    Early diagnosis of leaf diseases is a fundamental tool in precision agriculture, thanks to its high correlation with food safety and environmental sustainability. It is proven that plant diseases are responsible for serious economic losses every year. The aim of this work is to study an efficient network capable of assisting farmers in recognizing pear leaf symptoms and providing targeted information for rational use of pesticides. The proposed model consists of a multioutput system based on convolutional neural networks. The deep (...)
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  122. Adaptive Fixed-Time Trajectory Tracking Control for Underactuated Hovercraft with Prescribed Performance in the Presence of Model Uncertainties.Mingyu Fu, Tan Zhang, Fuguang Ding & Duansong Wang - 2021 - Complexity 2021:1-18.
    This paper develops an adaptive fixed-time trajectory tracking controller of an underactuated hovercraft with a prescribed performance in the presence of model uncertainties and unknown time-varying environment disturbances. It is the first time that the proposed method is applied to the motion control of the hovercraft. To begin with, based on the hovercraft's four degrees of freedom model, the virtual control laws are designed using an error transforming function and the fixed-time stability theory to guarantee that the position tracking errors (...)
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  123. Analysis and Classification of Mobile Apps Using Topic Modeling: A Case Study on Google Play Arabic Apps.Ahlam Fuad & Maha Al-Yahya - 2021 - Complexity 2021:1-12.
    Mobile app stores provide an extremely rich source of information on app descriptions, characteristics, and usage, and analyzing these data provides insights and a deeper understanding of the nature of apps. However, manual analysis of this vast amount of information on mobile apps is not a simple and straightforward task; it is costly in terms of human effort and time. Computational methods such as topic modeling can provide an efficient and satisfactory approach to mobile app information analysis. Topic modeling is (...)
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  124.  1
    Kinematic Calibration of Industrial Robots Based on Distance Information Using a Hybrid Identification Method.Guanbin Gao, Yuan Li, Fei Liu & Shichang Han - 2021 - Complexity 2021:1-10.
    To improve the positioning accuracy of industrial robots and avoid using the coordinates of the end effector, a novel kinematic calibration method based on the distance information is proposed. The kinematic model of an industrial robot is established. The relationship between the moving distance of the end effector and the kinematic parameters is analyzed. Based on the results of the analysis and the kinematic model of the robot, the error model with displacements as the reference is built, which is linearized (...)
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  125. Feature Tracking for Target Identification in Acoustic Image Sequences.Jue Gao, Ya Gu & Peiyi Zhu - 2021 - Complexity 2021:1-11.
    This paper proposes underwater target identification with local features and a feature tracking algorithm for acoustic image sequences. Feature detectors and descriptors are key to feature tracking. Their performance in underwater scene is evaluated by the change of multitarget parameters. A comprehensive quantitative investigation into the performance of feature tracking is thereby presented. Experimental results confirm that the proposed algorithm can accurately track potential targets and determine whether the potential targets are static targets, dynamic targets, or false alarms according to (...)
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  126. 3D Visualization Monitoring and Early Warning of Surface Deformation in Subsidence Area Based on GIS.Lei Gao, Yuanwen Song & Bo Zhao - 2021 - Complexity 2021:1-16.
    Due to the large-scale mining of mineral resources, the surface strata in many areas have collapsed and even developed into deformation and subsidence. Based on the conventional geotechnical deformation monitoring technology, the surface deformation prediction and disaster caused by the conventional geotechnical deformation monitoring technology can be avoided. In this paper, based on GIS, combined with the analysis of surface settlement, the surface settlement, slope value, curvature deformation value, horizontal displacement, and corresponding horizontal deformation formula are comprehensively analyzed and studied. (...)
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  127.  3
    Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method.Xiao-Yan Gao, Abdelmegeid Amin Ali, Hassan Shaban Hassan & Eman M. Anwar - 2021 - Complexity 2021:1-10.
    Heart disease is the deadliest disease and one of leading causes of death worldwide. Machine learning is playing an essential role in the medical side. In this paper, ensemble learning methods are used to enhance the performance of predicting heart disease. Two features of extraction methods: linear discriminant analysis and principal component analysis, are used to select essential features from the dataset. The comparison between machine learning algorithms and ensemble learning methods is applied to selected features. The different methods are (...)
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  128. Deep Belief Network-Based Multifeature Fusion Music Classification Algorithm and Simulation.Tianzhuo Gong - 2021 - Complexity 2021:1-10.
    In this paper, the multifeature fusion music classification algorithm and its simulation results are studied by deep confidence networks, the multifeature fusion music database is established and preprocessed, and then features are extracted. The simulation is carried out using multifeature fusion music data. The multifeature fusion music preprocessing includes endpoint detection, framing, windowing, and pre-emphasis. In this paper, we extracted the rhythm features, sound quality features, and spectral features, including energy, cross-zero rate, fundamental frequency, harmonic noise ratio, and 12 statistical (...)
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  129. Corporate Social Responsibility Based on Radial Basis Function Neural Network Evaluation Model of Low-Carbon Circular Economy Coupled Development.Zenghua Gong, Kaiyi Guo & Xiaoguang He - 2021 - Complexity 2021:1-11.
    Under the background that the development of low-carbon circular economy is the objective requirement for the in-depth implementation of scientific development and the inevitable choice for promoting the sustainable development of economy and society, it is not only the requirement of corporate social responsibility but also the path to realize corporate social responsibility. Enterprises should become the representative and model of social responsibility practice in the development of low-carbon circular economy, in order to promote the fulfilment and development of corporate (...)
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  130. Portfolio Selection with Respect to the Probabilistic Preference in Variable Risk Appetites: A Double-Hierarchy Analysis Method.Ruitao Gu, Qingjuan Chen & Qiaoyun Zhang - 2021 - Complexity 2021:1-14.
    Traditional portfolio selection models mainly obtain the optimized portfolio ratio by focusing on the prices of financial products. However, investors’ multiple preferences and risk appetites are also significant factors that should be taken into account. In consideration of these two factors simultaneously, we propose a double-hierarchy model in this paper. Specifically, the first hierarchy quantifies investors’ risk appetite based on a historical simulation method and probabilistic preference theory. This hierarchy can be utilized to describe investors’ variable risk appetites and ensure (...)
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  131. Spatial Spillover Effects of Economic Growth Based on High-Speed Railways in Northeast China.Haoming Guan & Qiao Li - 2021 - Complexity 2021:1-11.
    This paper examines the spatial spillover effects of public transportation infrastructure on regional economy in Northeast China, the “rust belt” region in China. The dataset consists of socioeconomic data from 47 cities in the area during the period of year 2005 through 2015. Accessibility is used as an explanatory variable to reflect the influence of infrastructure on economic development. In order to avoid the endogenous, queen contiguity matrix is used to define the spatial weight matrix. In the paper, the dynamic (...)
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  132. Joint Motion Control for Lower Limb Rehabilitation Based on Iterative Learning Control (ILC) Algorithm.Wei Guan, Lan Zhou & YouShen Cao - 2021 - Complexity 2021:1-9.
    At present, the motion control algorithms of lower limb exoskeleton robots have errors in tracking the desired trajectory of human hip and knee joints, which leads to poor follow-up performance of the human-machine system. Therefore, an iterative learning control algorithm is proposed to track the desired trajectory of human hip and knee joints. In this paper, the experimental platform of lower limb exoskeleton rehabilitation robot is built, and the control system software and hardware design and robot prototype function test are (...)
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  133.  1
    Impact of Smart City Planning and Construction on Community Governance Under Dynamic Game.Jie Guo & Wenhao Ling - 2021 - Complexity 2021:1-11.
    We present a research on smart city planning and community governance using dynamic game methods, analyze the current status and problems of the current smart community service system, and put forward countermeasures and suggestions based on the global smart community development experience. Through smart city planning and construction, the game model of government governance and information sharing between communities and decision making is obtained, and the two-dimensional replication dynamic system equations of smart city planning and construction agencies and communities are (...)
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  134. Remote Sensing Monitoring and Ecological Risk Assessment of Landscape Patterning in the Agro-Pastoral Ecotone of Northeast China.Min Guo & Shijun Wang - 2021 - Complexity 2021:1-13.
    The agro-pastoral ecotone, an ecological transition zone connecting adjacent areas of agricultural planting area and grassland animal husbandry, has three features: a complex natural condition, relatively pronounced population pressure, and a fragile ecological environment. In this study, we conducted an ecosystem risk assessment in the western part of Jilin Province, China, based on multiscale and multitemporal remote sensing images and land-use data. Furthermore, we focused on land-use change from 1995 to 2015 by applying the dynamic change information survey method and (...)
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  135.  1
    Industrial Structure, R&D Staff, and Green Total Factor Productivity of China: Evidence From the Low-Carbon Pilot Cities.Shengqian Guo, Xue Tang, Ting Meng, Jincan Chu & Han Tang - 2021 - Complexity 2021:1-13.
    Using data of 26 cities in China from 2004 to 2017, the green total factor productivity is investigated by the SMM-GML method. The corresponding empirical analysis is conducted with the DID model. This paper investigates the relation between low-carbon pilot policy and green total factor productivity and discusses the mediating effect of industrial structure and the number of R&D staff. First, we find that LCC has a significant effect on pilot cities’ GTFP. And, it also promotes GTFP via industrial structure. (...)
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  136. A Short-Term Load Forecasting Model of LSTM Neural Network Considering Demand Response.Xifeng Guo, Qiannan Zhao, Shoujin Wang, Dan Shan & Wei Gong - 2021 - Complexity 2021:1-7.
    As one of the key technologies for accelerating the construction of the ubiquitous Internet of Things, demand response not only guides users to participate in power market operations but also increases the randomness of grid operations and the difficulty of load forecasting. In order to solve the problem of rough feature engineering processing and low prediction accuracy, a short-term load forecasting model of LSTM neural network considering demand response is proposed. First of all, in view of the strong randomness and (...)
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  137. Studying Three Abstract Artists Based on a Multiplex Network Knowledge Representation.Luis Fernando Gutiérrez, Roberto Zarama & Juan Alejandro Valdivia - 2021 - Complexity 2021:1-24.
    Discovering the influences between paintings and artists is very important for automatic art analysis. Lately, this problem has gained more importance since research studies are looking into explanations about the origin and evolution of artistic styles, which is a related problem. This paper proposes to build a multiplex artwork representation based on artistic formal concepts to gain more understanding about the aforementioned problem. We complement and built our approach on the previous notion of Creativity Implication Network. We used the recently (...)
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  138. Solutions of Fractional Differential Type Equations by Fixed Point Techniques for Multivalued Contractions.Hasanen A. Hammad, Hassen Aydi & Manuel De la Sen - 2021 - Complexity 2021:1-13.
    This paper involves extended b − metric versions of a fractional differential equation, a system of fractional differential equations and two-dimensional linear Fredholm integral equations. By various given hypotheses, exciting results are established in the setting of an extended b − metric space. Thereafter, by making consequent use of the fixed point technique, short and simple proofs are obtained for solutions of a fractional differential equation, a system of fractional differential equations and a two-dimensional linear Fredholm integral equation.
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  139.  4
    MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion.Xuming Han, Feng Zhou, Zhiyuan Hao, Qiaoming Liu, Yong Li & Qi Qin - 2021 - Complexity 2021:1-9.
    Named entity recognition is a subtask in natural language processing, and its accuracy greatly affects the effectiveness of downstream tasks. Aiming at the problem of insufficient expression of potential Chinese features in named entity recognition tasks, this paper proposes a multifeature adaptive fusion Chinese named entity recognition model. The model uses bidirectional long short-term memory neural network to extract stroke and radical features and adopts a weighted concatenation method to fuse two sets of features adaptively. This method can better integrate (...)
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  140.  1
    Patterns of Location and Other Determinants of Retail Stores in Urban Commercial Districts in Changchun, China.Feilong Hao, Yuxin Yang & Shijun Wang - 2021 - Complexity 2021:1-14.
    Knowledge of the patterns of location of retail stores in urban areas supports the development of effective urban planning and the reasonable allocation of commercial facilities. Using point of interest data and consumer survey data in three main commercial districts in Changchun, China, this study investigates the spatial structures of commercial districts and the patterns of distribution of retail stores to assess the determinants of the development of retail stores in commercial districts. Kernel density estimation, nearest neighbor index, and Pearson’s (...)
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  141. Application of Random Dynamic Grouping Simulation Algorithm in PE Teaching Evaluation.Haitao Hao - 2021 - Complexity 2021:1-10.
    The probability ranking conclusion is an extension of the absolute form evaluation conclusion. Firstly, the random simulation evaluation model is introduced; then, the general idea of converting the traditional evaluation method to the random simulation evaluation model is analyzed; on this basis, based on the rule of “further ensuring the stability of the ranking chain on the basis of increasing the possibility of the ranking chain,” two methods of solving the probability ranking conclusion are given. Based on the rule of (...)
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  142. Corrigendum to “Study on City-Level Optimization of Tourism Industry Spatial Organization Nodes and Organization Mode for Tourist Destinations”.Jinlian Hao, Jie Chen & Fankai Sun - 2021 - Complexity 2021:1-1.
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  143. An Evaluation Study on Investment Efficiency: A Predictive Machine Learning Approach.Weiwei Hao, Hongyan Gao & Zongqing Liu - 2021 - Complexity 2021:1-9.
    This paper proposes a nonlinear autoregressive neural network method for the investment performance evaluation of state-owned enterprises. It is different from the traditional method based on machine learning, such as linear regression, structural equation, clustering, and principal component analysis; this paper uses a regression prediction method to analyze investment efficiency. In this paper, we firstly analyze the relationship between diversified ownership reform, corporate debt leverage, and the investment efficiency of state-owned enterprises. Secondly, a set of investment efficiency evaluation index system (...)
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  144. Group Abnormal Behaviour Detection Algorithm Based on Global Optical Flow.Yu Hao, Ying Liu, Jiulun Fan & Zhijie Xu - 2021 - Complexity 2021:1-12.
    Abnormal behaviour detection algorithm needs to conduct behaviour analysis on the basis of continuous video inclination tracking, and the robustness of the algorithm is reduced for the occlusion of moving targets, the occlusion of the environment, and the movement of targets with the same colour. For this reason, the optical flow information between RGB images and video frames is used as the input of the network in view of group behaviour. Then, the direction, velocity, acceleration, and energy of the crowd (...)
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  145. Performance Analysis of Wireless Location and Velocity Tracking of Digital Broadcast Signals Based on Extended Kalman Filter Algorithm.Yukai Hao & Xin Qiu - 2021 - Complexity 2021:1-10.
    In order to improve the accuracy and reliability of wireless location in NLOS environment, a wireless location algorithm based on artificial neural network is proposed for NLOS positioning error caused by non-line-of-sight propagation, such as occlusion and signal reflection. The mapping relationship between TOA and TDOA measurement data and coordinates is established. The connection weights of neural network are estimated as the state variables of nonlinear dynamic system. The multilayer perceptron network is trained by the real-time neural network training algorithm (...)
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  146. Lightweight Cryptographic Algorithms for Guessing Attack Protection in Complex Internet of Things Applications.Mohammad Kamrul Hasan, Muhammad Shafiq, Shayla Islam, Bishwajeet Pandey, Yousef A. Baker El-Ebiary, Nazmus Shaker Nafi, R. Ciro Rodriguez & Doris Esenarro Vargas - 2021 - Complexity 2021:1-13.
    As the world keeps advancing, the need for automated interconnected devices has started to gain significance; to cater to the condition, a new concept Internet of Things has been introduced that revolves around smart devicesʼ conception. These smart devices using IoT can communicate with each other through a network to attain particular objectives, i.e., automation and intelligent decision making. IoT has enabled the users to divide their household burden with machines as these complex machines look after the environment variables and (...)
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  147. Inference on a New Lifetime Distribution Under Progressive Type II Censoring for a Parallel-Series Structure.Atef F. Hashem & Salem A. Alyami - 2021 - Complexity 2021:1-18.
    A new lifetime distribution, called exponential doubly Poisson distribution, is proposed with decreasing, increasing, and upside-down bathtub-shaped hazard rates. One of the reasons for introducing the new distribution is that it can describe the failure time of a system connected in the form of a parallel-series structure. Some properties of the proposed distribution are addressed. Four methods of estimation for the involved parameters are considered based on progressively type II censored data. These methods are maximum likelihood, moments, least squares, and (...)
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  148. Governance: A Source to Increase Tax Revenue in Pakistan.Muhammad Shahid Hassan, Haider Mahmood, Muhammad Naveed Tahir, Tarek Tawfik Yousef Alkhateeb & Ayesha Wajid - 2021 - Complexity 2021:1-11.
    Improved governance in any economy indicates government stability, secured law and order, and minimum internal and external conflicts. A higher level of governance may demonstrate the healthy performance of economic activities and tax revenue collection. Hence, it is vital to investigate the relationship between governance and tax revenue collection in any developing country. Therefore, we aim to investigate the impact of governance on tax revenue in Pakistan using control variables inflation and industrial value-added. The Autoregressive Distributive Lag cointegration technique is (...)
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  149. Hamilton Connectivity of Convex Polytopes with Applications to Their Detour Index.Sakander Hayat, Asad Khan, Suliman Khan & Jia-Bao Liu - 2021 - Complexity 2021:1-23.
    A connected graph is called Hamilton-connected if there exists a Hamiltonian path between any pair of its vertices. Determining whether a graph is Hamilton-connected is an NP-complete problem. Hamiltonian and Hamilton-connected graphs have diverse applications in computer science and electrical engineering. The detour index of a graph is defined to be the sum of lengths of detours between all the unordered pairs of vertices. The detour index has diverse applications in chemistry. Computing the detour index for a graph is also (...)
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  150. Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm.Fuxing He - 2021 - Complexity 2021:1-10.
    Sports injury is a common problem in athletes’ training. The sports injury assessment model is a physical method to determine the sports injury attributes of specific parts by predicting and evaluating the risk of sports injury. In this paper, we use a neural network to realize big data analysis of sports injury data. Big data network is a method of capturing Internet information by means of cloud computing, which is usually used in the construction of Wan and LAN. This paper (...)
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  151. Information Fusion Algorithm for Big Data in Digital Publishing Industry Chain.Haixiang He - 2021 - Complexity 2021:1-10.
    This paper studies the information of big data in the digital publishing industry chain and adopts advanced algorithms for its fusion calculation. The basic theory of digital publishing ecological chain is dissected, the construction requirements, construction methods, and construction paths of digital publishing ecological chain are analysed, and feasible construction measures are proposed. It also defines the connotation of the fusion of knowledge services between publishing institutions and libraries in the digital era; then analyses the characteristics and principles of the (...)
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  152. Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach.Hongzeng He & Shufen Dai - 2021 - Complexity 2021:1-13.
    In this paper, we investigated the effectiveness of price limit on stock market with the correlation study and complex network technology. We proposed a time-migrated DCCA cross-correlation coefficient which is beneficial to detect the asynchronous correlations of nonstationary time series. The stock market network is constructed with the threshold method based on time-migrated DCCA. The effectiveness of the price limit during the stock market crash period is studied based on the time-migrated DCCA stock market network. The results indicate that the (...)
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  153. The Effect of Mobile Marketing Design on Consumer Mobile Shopping.Junhong He, Fu Li, Zhongxiang Li & Hongxiu Liu - 2021 - Complexity 2021:1-10.
    The rapid popularity of mobile shopping makes people’s lives more convenient, but it also makes it easier for customers to change providers. How to use marketing stimulus to retain customers has become an urgent concern for mobile sales companies. However, the theoretical researches in this field are not enough. For this reason, this study used the methods of literature review and structural equation to explore the effects of mobile marketing design factors on the continual intention of consumers in mobile shopping (...)
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  154. The Influence of Academic Independent Directors and Confucianism on Carbon Information Disclosure: Evidence From China.Ren He, Mingdian Zhou, Jing Liu & Qing Yang - 2021 - Complexity 2021:1-14.
    As global warming has received widespread attention, the disclosure of firms’ carbon information has been expected by increasing stakeholders. This study extends the previous literature on the determinants of firms’ carbon information disclosure by examining the influence of academic independent directors and Confucianism on the quality of carbon information disclosure. Using a sample of Chinese listed firms in the CSI 300 Index during the period of 2012–2018, our empirical results show that academic independent directors have a significantly positive association with (...)
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  155. Improved Tomlinson–Harashima Precoding for Ultra Reliable Communication in Intelligent Transportation Systems.Shibiao He, Xinyi Yang & Yong Liao - 2021 - Complexity 2021:1-10.
    Cyber-physical systems are characterized by integrating computation and physical processes. To cope with the challenges of the application of the CPSs in all kinds of environments, especially the cellular vehicle-to-everything which needs high quality end-to-end communication, the robustness and reliability for CPSs are very crucial. Aiming at the technical challenges of information transmission caused by the fading effect and the fast time-varying characteristics of the channel for C-V2X communication, an improved Tomlinson–Harashima precoding algorithm for multiple input multiple output systems is (...)
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  156. Comparison and Analysis of Network Construction Methods for Seismicity Based on Complex Networks.Xuan He, Syed Bilal Hussain Shah, Bo Wei & Zheng Liu - 2021 - Complexity 2021:1-11.
    The approach of the complex network has well described seismic complex systems. In this paper, this is the first time three classical network construction methods for seismicity are compared. By using the same dataset from the Southern California Seismic Network, three networks are constructed. They all present the scale-free, small-world properties, a strength-degree correlation, and an assortative mixing feature. However, they show some differences in the hierarchical clustering feature. On observing the evolution results, three measures show a similar correlation with (...)
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  157. Dynamics and Robust Control of a New Realizable Chaotic Nonlinear Model.M. Higazy, Emad E. Mahmoud, E. M. Khalil, S. Abdel-Khalek, S. M. Abo-Dahab & Hammad Alotaibi - 2021 - Complexity 2021:1-17.
    We present a new viable nonlinear chaotic paradigm. This paradigm has four nonlinear terms. The essential features of the new paradigm have been investigated. Our new system is confirmed to have chaotic behaviors by calculating its Lyapunov exponents. The relations of the system states are displayed by a suggested new signal flow graph. The proposed SFG is discussed via some graph theory tools, and some of its hidden features are calculated. In addition, the system is realized via constructing its electronic (...)
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  158.  1
    Research on Impact Mechanism of Demand Side of Urban Residents’ Electricity Consumption: Analysis Based on Microscopic Survey Data.Huawei Hong, Peng Zheng, Lingling Zhu & Yuan Zhao - 2021 - Complexity 2021:1-15.
    With the further acceleration of urbanization in China, the proportions of both urban residents’ energy consumption and energy-consuming terminal electricity are showing an increasing trend at the same time. In view of the dynamic and time-varying complex system characteristics of power system, it is of great significance to study the impact mechanism of urbanization residents’ electricity consumption on the realization of demand-side management and environmental protection. Based on the one-year follow-up survey data obtained from household meter reading, this paper studies (...)
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  159. Sufficient Conditions for Graphs to Be K -Connected, Maximally Connected, and Super-Connected.Zhen-Mu Hong, Zheng-Jiang Xia, Fuyuan Chen & Lutz Volkmann - 2021 - Complexity 2021:1-11.
    Let G be a connected graph with minimum degree δ G and vertex-connectivity κ G. The graph G is k -connected if κ G ≥ k, maximally connected if κ G = δ G, and super-connected if every minimum vertex-cut isolates a vertex of minimum degree. In this paper, we present sufficient conditions for a graph with given minimum degree to be k -connected, maximally connected, or super-connected in terms of the number of edges, the spectral radius of the graph, (...)
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  160.  3
    Multiobjective Optimization of Large-Scale EVs Charging Path Planning and Charging Pricing Strategy for Charging Station.Weicheng Hou, Qingsong Luo, Xiangdong Wu, Yimin Zhou & Gangquan Si - 2021 - Complexity 2021:1-17.
    With the increasing number of electric vehicles, the charging demand of EVs has brought many new research hotspots, i.e., charging path planning and charging pricing strategy of the charging stations. In this paper, an integrated framework is proposed for multiobjective EV path planning with varied charging pricing strategies, considering the driving distance, total time consumption, energy consumption, charging fee such factors, while the charging pricing strategy is designed based on the objectives of maximizing the total revenues of the charging stations (...)
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  161.  1
    Corrigendum to “1D CNN-Based Intracranial Aneurysms Detection in 3D TOF-MRA”.Wenguang Hou, Shaojie Mei, Qiuling Gui, Yingcheng Zou, Yifan Wang, Xianbo Deng & Qimin Cheng - 2021 - Complexity 2021:1-1.
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  162. Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion.Yue Hou, Zhiyuan Deng & Hanke Cui - 2021 - Complexity 2021:1-14.
    Short-term traffic flow prediction is an effective means for intelligent transportation system to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making short-term traffic flow prediction a challenging issue. However, the existing models do not consider the influence of weather changes on traffic flow, leading to poor performance under some extreme conditions. In view of the rich features of traffic data and the characteristic of being vulnerable to external weather conditions, (...)
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  163.  1
    Communication-Efficient Modeling with Penalized Quantile Regression for Distributed Data.Aijun Hu, Chujin Li & Jing Wu - 2021 - Complexity 2021:1-16.
    In order to deal with high-dimensional distributed data, this article develops a novel and communication-efficient approach for sparse and high-dimensional data with the penalized quantile regression. In each round, the proposed method only requires the master machine to deal with a sparse penalized quantile regression which could be realized fastly by proximal alternating direction method of multipliers algorithm and the other worker machines to compute the subgradient on local data. The advantage of the proximal ADMM algorithm is that it could (...)
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  164. Deep Learning Image Feature Recognition Algorithm for Judgment on the Rationality of Landscape Planning and Design.Bin Hu - 2021 - Complexity 2021:1-15.
    This paper uses an improved deep learning algorithm to judge the rationality of the design of landscape image feature recognition. The preprocessing of the image is proposed to enhance the data. The deficiencies in landscape feature extraction are further addressed based on the new model. Then, the two-stage training method of the model is used to solve the problems of long training time and convergence difficulties in deep learning. Innovative methods for zoning and segmentation training of landscape pattern features are (...)
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  165.  1
    A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks.Bo Hu, Hao Wang, Yan Zhao, Hang Zhou, Mingkun Jiang & Mofan Wei - 2021 - Complexity 2021:1-10.
    Security issue against different attacks is the core topic of cyberphysical systems. In this paper, optimal control theory, reinforcement learning, and neural networks are integrated to provide a brief overview of optimal robust control strategies for a benchmark power system. First, the benchmark power system models with actuator and sensor attacks are considered. Second, we investigate the optimal control issue for the nominal system and review the state-of-the-art RL methods along with the NN implementation. Third, we propose several robust control (...)
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  166. Museum Display Showcase Furniture System Research Based on Internet of Things Technology in Intelligent Environment.Jiaojiao Hu, Zhihui Wu & Lei Jin - 2021 - Complexity 2021:1-14.
    The protection of cultural relics has always been an important issue in the field of museums and archaeology. With the development of Internet of Things technology, the security system of the museum is more intelligent and integrated. In order for the museum display system to keep up with the intelligent age, this article mainly studies the research and realization of the museum showcase system based on the Internet of Things technology in a smart environment. Before the start of the experiment, (...)
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  167. An Improved Nonequidistant Grey Model Based on Simpson Formula and Its Application.Zhiming Hu & Chong Liu - 2021 - Complexity 2021:1-11.
    Grey prediction models have been widely used in various fields of society due to their high prediction accuracy; accordingly, there exists a vast majority of grey models for equidistant sequences; however, limited research is focusing on nonequidistant sequence. The development of nonequidistant grey prediction models is very slow due to their complex modeling mechanism. In order to further expand the grey system theory, a new nonequidistant grey prediction model is established in this paper. To further improve the prediction accuracy of (...)
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  168. Construction of Social Security Fund Cloud Audit Platform Based on Fuzzy Data Mining Algorithm.Yangting Huai & Qianxiao Zhang - 2021 - Complexity 2021:1-11.
    Guided by the theories of system theory, synergetic theory, and other disciplines and based on fuzzy data mining algorithm, this article constructs a three-tier social security fund cloud audit platform. Firstly, the article systematically expounds the current situation of social security fund and social security fund audit, such as the technical basis of cloud computing and data mining. Combined with the actual work, the necessity and feasibility of building a cloud audit platform for social security funds are analyzed. This article (...)
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  169.  4
    Partial-Information-Based Synchronization of Complex Networks with Multiple and Event-Triggered Couplings.Chi Huang, Yuning Xiong & Wei Wang - 2021 - Complexity 2021:1-14.
    We study the synchronization of complex networks by using event-sampling information. The nodes of the network are connected with event-triggered communication via multiple couplings. The couplings are split into several channels. Not all the channels are connected. Only a part of the states of each node can be communicated by the channels. An event detector is designed for each channel to independently determine the sampling moments. The couplings of the network are partial and event-triggered. Both features make that less information (...)
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  170. Isolated Handwritten Pashto Character Recognition Using a K-NN Classification Tool Based on Zoning and HOG Feature Extraction Techniques.Juanjuan Huang, Ihtisham Ul Haq, Chaolan Dai, Sulaiman Khan, Shah Nazir & Muhammad Imtiaz - 2021 - Complexity 2021:1-8.
    Handwritten text recognition is considered as the most challenging task for the research community due to slight change in different characters’ shape in handwritten documents. The unavailability of a standard dataset makes it vaguer in nature for the researchers to work on. To address these problems, this paper presents an optical character recognition system for the recognition of offline Pashto characters. The problem of the unavailability of a standard handwritten Pashto characters database is addressed by developing a medium-sized database of (...)
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  171.  5
    Personnel Scheduling Problem Under Hierarchical Management Based on Intelligent Algorithm.Li Huang, Chunming Ye, Jie Gao, Po-Chou Shih, Franley Mngumi & Xun Mei - 2021 - Complexity 2021:1-14.
    This paper studies a special scheduling problem under hierarchical management in nurse staff. This is a more complex rostering problem than traditional nurse scheduling. The first is that the rostering requirements of charge nurses and general nurses are different under hierarchical management. The second is that nurses are preferable for relative fair rather than absolute fair under hierarchical management. The model aims at allocating the required workload to meet the operational requirements, weekend rostering preferences, and relative fairness preferences. Two hybrid (...)
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  172. Coupled Dynamic Model of Resource Diffusion and Epidemic Spreading in Time-Varying Multiplex Networks.Ping Huang, Xiao-Long Chen, Ming Tang & Shi-Min Cai - 2021 - Complexity 2021:1-11.
    In the real world, individual resources are crucial for patients when epidemics outbreak. Thus, the coupled dynamics of resource diffusion and epidemic spreading have been widely investigated when the recovery of diseases significantly depends on the resources from neighbors in static social networks. However, the social relationships of individuals are time-varying, which affects such coupled dynamics. For that, we propose a coupled resource-epidemic dynamic model on a time-varying multiplex network to synchronously simulate the resource diffusion and epidemic spreading in dynamic (...)
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  173. Exploring Residential Heterogeneity Through Multiscalar Lens: A Case Study of Hangzhou, China.Qinshi Huang, Weixuan Song, Liyan Liu, Chunhui Liu, Xinyi Zhang & Ge He - 2021 - Complexity 2021:1-12.
    The pattern, process, and mechanism of residential heterogeneity vary significantly with different geographical scales. However, most traditional methods ignore the checkboard and modifiable areal unit problem, which may cover up the complexity and hierarchy of social space. Taking Hangzhou city as an example, a multiscalar method was proposed based on the information entropy theory to estimate residential heterogeneity and its scale sensitivity. Based on the sixth population census of Hangzhou and the housing price database of 6,536 residential districts from 2008 (...)
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  174. Analysis of Beam-Column Designs by Varying Axial Load with Internal Forces and Bending Rigidity Using a New Soft Computing Technique.Wen Huang, Tianhua Jiang, Xiucheng Zhang, Naveed Ahmad Khan & Muhammad Sulaiman - 2021 - Complexity 2021:1-19.
    Design problems in structural engineering are often modeled as differential equations. These problems are posed as initial or boundary value problems with several possible variations in structural designs. In this paper, we have derived a mathematical model that represents different structures of beam-columns by varying axial load with or without internal forces including bending rigidity. We have also developed a novel solver, the LeNN-NM algorithm, which consists of weighted Legendre polynomials, and a single path following optimizer, the Nelder–Mead algorithm. To (...)
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  175. Networking of Smart Meters Based on Time-Varying Feature of Low-Voltage Power Line Channel in Microgrid.Ya-Xin Huang, Xiao-Di Zhang, Fei Yu, Yong-Qing Wei & Hai-Long Zhang - 2021 - Complexity 2021:1-16.
    In order to manage the electricity consumption information of microgrid users, the reliability of electricity information collection is studied in this paper. The normal communication between the acquisition terminal and the smart meter is a key factor affecting the accurate collection of power information; it is the basis for ensuring the operation of the microgrid as well. In order to improve the reliability of the low power line communication between the acquisition terminal and smart meters, this article first uses the (...)
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  176. A Time-Aware Hybrid Approach for Intelligent Recommendation Systems for Individual and Group Users.Zhao Huang & Pavel Stakhiyevich - 2021 - Complexity 2021:1-19.
    Although personal and group recommendation systems have been quickly developed recently, challenges and limitations still exist. In particular, users constantly explore new items and change their preferences throughout time, which causes difficulties in building accurate user profiles and providing precise recommendation outcomes. In this context, this study addresses the time awareness of the user preferences and proposes a hybrid recommendation approach for both individual and group recommendations to better meet the user preference changes and thus improve the recommendation performance. The (...)
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  177. Quality Classification of Lithium Battery in Microgrid Networks Based on Smooth Localized Complex Exponential Model.Zhelin Huang & Fangfang Yang - 2021 - Complexity 2021:1-10.
    Accurate prediction of battery quality using early-cycle data is critical for battery, especially lithium battery in microgrid networks. To effectively predict the lifetime of lithium-ion batteries, a time series classification method is proposed that classifies batteries into high-lifetime and low-lifetime groups using features extracted from early-cycle charge-discharge data. The proposed method is based on a smooth localized complex exponential model that can extract battery features from time-frequency maps and self-adaptively select the time-frequency resolution to maximize the discrepancy of data from (...)
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  178. A Fault Analysis Method for Three-Phase Induction Motors Based on Spiking Neural P Systems.Zhu Huang, Tao Wang, Wei Liu, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez & Pengpeng Li - 2021 - Complexity 2021:1-19.
    The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these issues. This paper proposes a fault analysis method of motors based on modified fuzzy reasoning spiking neural P systems with real numbers for fault prediction and abductive fault diagnosis. To achieve this goal, fault fuzzy production rules of three-phase induction motors are first proposed. Then, the rMFRSNPS is presented (...)
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  179. Music Personalized Label Clustering and Recommendation Visualization.Yongkang Huo - 2021 - Complexity 2021:1-8.
    With the advent of big data, the performance of traditional recommendation algorithms is no longer enough to meet the demand. Most people do not leave too many comments and other data when using the application. In this case, the user data are too scattered and discrete, with obvious data sparsity problems. First, this paper describes the main ideas and methods used in current recommendation systems and summarizes the areas that need attention and consideration. Based on these algorithms and based on (...)
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  180. Handling Imbalance Classification Virtual Screening Big Data Using Machine Learning Algorithms.Sahar K. Hussin, Salah M. Abdelmageid, Adel Alkhalil, Yasser M. Omar, Mahmoud I. Marie & Rabie A. Ramadan - 2021 - Complexity 2021:1-15.
    Virtual screening is the most critical process in drug discovery, and it relies on machine learning to facilitate the screening process. It enables the discovery of molecules that bind to a specific protein to form a drug. Despite its benefits, virtual screening generates enormous data and suffers from drawbacks such as high dimensions and imbalance. This paper tackles data imbalance and aims to improve virtual screening accuracy, especially for a minority dataset. For a dataset identified without considering the data’s imbalanced (...)
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  181. Market Premium and Macroeconomic Factors as Determinants of Industry Premium: Evidence From Emerging Economies.Muhammad Imran, Mengyun Wu, Linrong Zhang, Yun Zhao, Noor Jehan & Hee Cheol Moon - 2021 - Complexity 2021:1-11.
    In this study, we examine the equity premium of seventeen nonfinancial sectors covering sample 306 firms using monthly data from January 2002 to December 2018. Two-stage least square method is applied to estimate the macro-based multifactor model. It is found that the market premium and the interest rate factors are significantly affecting the industry equity premium of all the nonfinancial sectors. However, there exists a positive effect of other macroeconomic variables such as money supply, foreign direct investment, and industrial production (...)
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  182. An Efficient Traffic Incident Detection and Classification Framework by Leveraging the Efficacy of Model Stacking.Zafar Iqbal, Majid I. Khan, Shahid Hussain & Asad Habib - 2021 - Complexity 2021:1-17.
    Automatic incident detection plays a vital role among all the safety-critical applications under the parasol of Intelligent Transportation Systems to provide timely information to passengers and other stakeholders in smart cities. Moreover, accurate classification of these incidents with respect to type and severity assists the Traffic Incident Management Systems and stakeholders in devising better plans for incident site management and avoiding secondary incidents. Most of the AID systems presented in the literature are incident type-specific, i.e., either they are designed for (...)
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  183.  1
    Control of Chaotic Calcium Oscillations in Biological Cells.Quanbao Ji & Min Ye - 2021 - Complexity 2021:1-7.
    The contribution of this present paper is to propose a method that combines a chemical Brusselator reaction-diffusion system with a biological cell system via gap junction for controlling and visualizing the frequency and magnitude of chaotic intracellular calcium oscillations in two cell types, including nonexcitable cells and the glial cells. This produces a wide variety of oscillatory behaviors similar to those reported in numerous biological experiments. We particularly show that in the majority of chaos cases, the reactor to cell coupling (...)
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  184. An Optimality-Theoretic Analysis of the Acquisition of English Sentence Stress Based on Acoustic Data.Wen Ji & Yun Liu - 2021 - Complexity 2021:1-9.
    The present study adopts both empirical and theoretical methods for the analysis of the acquisition of English sentence stress based on Optimality Theory, aiming to overcome mispronunciation of English sentence stress. Optimality Theory has a dramatic impact on most areas in linguistics besides phonology. The acoustic software Praat is chosen to collect and label data as the basis of the empirical method. Then, through analyzing the four major principles of distribution of sentence stress and based on the analysis of Optimality (...)
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  185. Corrigendum to “SIAT-WEXv2: A Wearable Exoskeleton for Reducing Lumbar Load During Lifting Tasks”.Xinyu Ji, Dashuai Wang, Pengfei Li, Liangsheng Zheng, Jianquan Sun & Xinyu Wu - 2021 - Complexity 2021:1-1.
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  186.  1
    Fixed-Time Synchronization for Different Dimensional Complex Network Systems with Unknown Parameters Via Adaptive Control.Yude Ji, Yunli Gong, Shan Su & Xiaoxue Bai - 2021 - Complexity 2021:1-17.
    This article is related to the issue of fixed-time synchronization of different dimensional complex network systems with unknown parameters. Two suitable adaptive controllers and dynamic parameter estimations are proposed such that the complex network driving and response systems can be synchronized in the settling time. Based on fixed-time control theory and Lyapunov functional method, novel sufficient conditions are provided to guarantee the synchronization within the fixed times, and the settling times are explicitly evaluated, which are independent of the initial synchronization (...)
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  187. Two Identification Methods for a Nonlinear Membership Function.Yuejiang Ji & Lixin Lv - 2021 - Complexity 2021:1-7.
    This paper proposes two parameter identification methods for a nonlinear membership function. An equation converted method is introduced to turn the nonlinear function into a concise model. Then a stochastic gradient algorithm and a gradient-based iterative algorithm are provided to estimate the unknown parameters of the nonlinear function. The numerical example shows that the proposed algorithms are effective.
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  188. Multi-Channel Convolutional Neural Network Feature Extraction for Session Based Recommendation.Zhenyan Ji, Mengdan Wu, Yumin Feng & José Enrique Armendáriz Íñigo - 2021 - Complexity 2021:1-10.
    A session-based recommendation system is designed to predict the user’s next click behavior based on an ongoing session. Existing session-based recommendation systems usually model a session into a sequence and extract sequence features through recurrent neural network. Although the performance is greatly improved, these procedures ignore the relationships between items that contain rich information. In order to obtain rich items embeddings, we propose a novel Recommendation Model based on Multi-channel Convolutional Neural Network for session-based recommendation, RMMCNN for brevity. Specifically, we (...)
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  189. Intelligent Garden Planning and Design Based on Agricultural Internet of Things.Aijun Jia - 2021 - Complexity 2021:1-10.
    As the application of the Internet of Things technology continues to deepen in various fields, it also continues to develop in the agricultural field and the agricultural landscape. This article uses the agricultural Internet of Things to conduct an in-depth analysis and research on the planning and design of smart gardens and combines field research and project practice on the basis of theoretical analysis. Through the combination of agricultural Internet of Things technology and agricultural landscape, the planning and design of (...)
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  190. Entity Linking Based on Sentence Representation.Bingjing Jia, Zhongli Wu, Pengpeng Zhou & Bin Wu - 2021 - Complexity 2021:1-9.
    Entity linking involves mapping ambiguous mentions in documents to the correct entities in a given knowledge base. Most existing methods failed to link when a mention appears multiple times in a document, since the conflict of its contexts in different locations may lead to difficult linking. Sentence representation, which has been studied based on deep learning approaches recently, can be used to resolve the above issue. In this paper, an effective entity linking model is proposed to capture the semantic meaning (...)
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  191. Application and Evolution for Neural Network and Signal Processing in Large-Scale Systems.Dongbao Jia, Cunhua Li, Qun Liu, Qin Yu, Xiangsheng Meng, Zhaoman Zhong, Xinxin Ban & Nizhuan Wang - 2021 - Complexity 2021:1-7.
    Low frequency oscillation is an important attribute of human brain activity, and the amplitude of low frequency fluctuation is an effective method to reflect the characteristics of low frequency oscillation, which has been widely used in the treatment of brain diseases and other fields. However, due to the low accuracy of the current analysis methods for low frequency signal extraction of ALFF, we propose the Fourier-based synchrosqueezing transform, which is often used in the field of signal processing to extract the (...)
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  192. Forecasting Volatility of Stock Index: Deep Learning Model with Likelihood-Based Loss Function.Fang Jia & Boli Yang - 2021 - Complexity 2021:1-13.
    Volatility is widely used in different financial areas, and forecasting the volatility of financial assets can be valuable. In this paper, we use deep neural network and long short-term memory model to forecast the volatility of stock index. Most related research studies use distance loss function to train the machine learning models, and they gain two disadvantages. The first one is that they introduce errors when using estimated volatility to be the forecasting target, and the second one is that their (...)
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  193. Deep Learning Algorithm-Based Financial Prediction Models.Helin Jia - 2021 - Complexity 2021:1-9.
    In this paper, a new FEPA portfolio forecasting model is based on the EMD decomposition method. The model is based on the special empirical modal decomposition of financial time series, principal component analysis, and artificial neural network to model and forecast for nonlinear, nonstationary, multiscale complex financial time series to predict stock market indices and foreign exchange rates and empirically investigate this hot area in financial market research. The combined forecasting model proposed in this paper is based on the idea (...)
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  194.  4
    Towards the Concurrent Optimization of the Server: A Case Study on Sport Health Simulation.Nan Jia, Ruomei Wang, Mingliang Li, Yuhan Guan & Fan Zhou - 2021 - Complexity 2021:1-13.
    Using computers to conduct human body simulation experiments can benefit from both economic and security. However, the human simulation experiment usually requires vast computational resources due to the complex simulation model which combines complicated mathematical and physical principles. As a result, the simulation process is usually time-consuming and simulation efficiency is low. One solution to address the issue of simulation efficiency is to improve the computing performance of the server when the complexity of the simulation model is determined. In this (...)
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  195.  2
    Neural Network-Based Intelligent Computing Algorithms for Discrete-Time Optimal Control with the Application to a Cyberphysical Power System.Feng Jiang, Kai Zhang, Jinjing Hu & Shunjiang Wang - 2021 - Complexity 2021:1-10.
    Adaptive dynamic programming, which belongs to the field of computational intelligence, is a powerful tool to address optimal control problems. To overcome the bottleneck of solving Hamilton–Jacobi–Bellman equations, several state-of-the-art ADP approaches are reviewed in this paper. First, two model-based offline iterative ADP methods including policy iteration and value iteration are given, and their respective advantages and shortcomings are discussed in detail. Second, the multistep heuristic dynamic programming method is introduced, which avoids the requirement of initial admissible control and achieves (...)
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  196. Spatial Character and Backflow Pattern of High-Level Returned Talents in China.Haining Jiang - 2021 - Complexity 2021:1-11.
    Attractions of overseas high-level returned talents have become a widely practiced talent policy, and the spatial structures of city-related interactions are drawing the attention of researchers from various fields. China is particularly an interesting case in point, as it has moved toward an innovation-oriented economy. Based on the movement trajectories of 2,846 returnees in a program entitled “Young Thousand Talents Plan” during 2011–2016, this paper identifies three city types in China: national core city, regional excellent city, and regional special city. (...)
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  197.  1
    Construction and Analysis of Emotion Computing Model Based on LSTM.Huiping Jiang, Rui Jiao, Zequn Wang, Ting Zhang & Licheng Wu - 2021 - Complexity 2021:1-12.
    The electroencephalogram is the most common method used to study emotions and capture electrical brain activity changes. Long short-term memory processes the temporal characteristics of data and is mostly used for emotional text and speech recognition. Since an EEG involves a time series signal, this article mainly studied the introduction of LSTM for emotional EEG recognition. First, an ALL-LSTM model with a four-layered LSTM network was established in which the average accuracy rate for emotional classification reached 86.48%. Second, four EEG (...)
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  198. Analytical Comparison of Two Emotion Classification Models Based on Convolutional Neural Networks.Huiping Jiang, Demeng Wu, Rui Jiao & Zongnan Wang - 2021 - Complexity 2021:1-9.
    Electroencephalography is the measurement of neuronal activity in different areas of the brain through the use of electrodes. As EEG signal technology has matured over the years, it has been applied in various methods to EEG emotion recognition, most significantly including the use of convolutional neural network. However, these methods are still not ideal, and shortcomings have been found in the results of some models of EEG feature extraction and classification. In this study, two CNN models were selected for the (...)
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  199. An Innovation Design Approach for Product Service Systems Based on TRIZ and Function Incentive.Jie Jiang, Yan Li, Lidan Li, Changchun Zhou, Yuxiang Huo & Qian Li - 2021 - Complexity 2021:1-11.
    Good balance between product and service is the key in the innovative design of product service systems. In this study, the evolution route of the PSS based on Teoriya Resheniya Izobretatelskikh Zadatch ideal final result was provided. The function model of the PSS was constructed according to the service blueprint and function system diagrams. On this basis, an innovation design method of the PSS based on function incentive was established. The function incentive strategies included function synergy, function supplement, and function (...)
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  200. Virtual Reality Action Interactive Teaching Artificial Intelligence Education System.Liangfu Jiang - 2021 - Complexity 2021:1-11.
    Comprehensively improving the level of vocational education and teaching quality has become an important initiative to meet the new round of technological revolution and industrial change. The traditional teaching mode can no longer meet the needs of industries and enterprises for job competences, and all higher education institutions are actively thinking about how to carry out teaching reform. Virtual reality can effectively solve the above-mentioned drawbacks, but the hardware facilities of the existing VR systems are extremely expensive, making it impossible (...)
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  201. Online English Teaching Course Score Analysis Based on Decision Tree Mining Algorithm.Xiaojun Jiang - 2021 - Complexity 2021:1-10.
    With the advent of the Big Data era, information and data are growing in spurts, fueling the deep application of information technology in all levels of society. It is especially important to use data mining technology to study the industry trends behind the data and to explore the information value contained in the massive data. As teaching and learning in higher education continue to advance, student academic and administrative data are growing at a rapid pace. In this paper, we make (...)
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  202.  1
    Application Research of Key Frames Extraction Technology Combined with Optimized Faster R-CNN Algorithm in Traffic Video Analysis.Zhi-Guang Jiang & Xiao-Tian Shi - 2021 - Complexity 2021:1-11.
    The intelligent transportation system under the big data environment is the development direction of the future transportation system. It effectively integrates advanced information technology, data communication transmission technology, electronic sensing technology, control technology, and computer technology and applies them to the entire ground transportation management system to establish a real-time, accurate, and efficient comprehensive transportation management system that works on a large scale and in all directions. Intelligent video analysis is an important part of smart transportation. In order to improve (...)
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  203.  5
    The Role of Artificial and Nonartificial Intelligence in the New Product Success with Moderating Role of New Product Innovation: A Case of Manufacturing Companies in China.Hou Jianjun, Yi Yao, Javaria Hameed, Hafiz Waqas Kamran, Muhammad Atif Nawaz, Ramaisa Aqdas & Ataul Karim Patwary - 2021 - Complexity 2021:1-14.
    Currently, there is an increasing trend in the organizations towards examining the artificial intelligence and nonartificial intelligence for the innovation and success of the new product, as well as getting the intentions of the upcoming researchers. Thus, the purpose of the ongoing study is to examine the role of artificial and nonartificial intelligence in the new product success along with the moderating role of new product innovation in the manufacturing organizations of China. The quantitative methods have been followed by the (...)
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  204. Dynamic Stochastic Optimization of Emergent Blood Collection and Distribution From Supply Chain Perspective.Xiangyu Jin, Huajun Tang & Yuxin Huang - 2021 - Complexity 2021:1-15.
    In response to emergencies, it is critical to investigate how to deliver emergency supplies efficiently and securely to disaster-affected areas and people. There is no doubt that blood is deemed one of the vital relief supplies, and ensuring smooth blood delivery may substantially alleviate subsequent impacts caused by the disaster. Taking red blood cell products as the research object, this work proposes a four-echelon blood supply chain model. Specifically, it includes blood donors, blood donation houses, blood centres, and hospitals. Furthermore, (...)
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  205. The Dynamic Relationship Between Stock Market and Macroeconomy at Sectoral Level: Evidence From Chinese and US Stock Market.Zhenni Jin & Kun Guo - 2021 - Complexity 2021:1-16.
    As a most important component of capital market, stock market has always been regarded as the “barometer” of macroeconomy. However, many researchers have found that the stock market is not always in the lead, especially for the emerging markets, and the leading role of different sector indices is also different for the corresponding sectors. From the perspective of a comparison between mature market and emerging market at sectoral level, this paper utilizes the thermal optimal method to examine the dynamic lead-lag (...)
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  206. Design and Realization of Animation Composition and Tone Space Conversion Algorithm.Liang Jing - 2021 - Complexity 2021:1-11.
    In recent years, with the development of society and the rapid development of the animation industry, people are paying more and more attention to and requirements for animation production. As an indispensable part of animation production, picture composition plays a major role in animation production. It can give full play to the application of color matching and light and shadow design and enhance the depth and space of the animation screen. Tone space conversion refers to the conversion or representation of (...)
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  207. Measuring Information Systems Project Complexity: A Structural Equation Modelling Approach.Nazeer Joseph & Carl Marnewick - 2021 - Complexity 2021:1-15.
    Complexity has emerged as the new norm in the 21st century, and IS projects play a significant role in organisations to address various socio-political concerns. The purpose of this paper is to understand what are the relevant constructs for measuring IS project complexity. A model for measuring IS project complexity is developed using PLS-SEM. The model reveals that organisational complexity, technical complexity, and uncertainty underpin IS project complexity. Organisational complexity in terms of project team, stakeholder management, and strategic drive should (...)
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  208.  2
    Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques.Gunho Jung & Sun-Yong Choi - 2021 - Complexity 2021:1-16.
    Since the breakdown of the Bretton Woods system in the early 1970s, the foreign exchange market has become an important focus of both academic and practical research. There are many reasons why FX is important, but one of most important aspects is the determination of foreign investment values. Therefore, FX serves as the backbone of international investments and global trading. Additionally, because fluctuations in FX affect the value of imported and exported goods and services, such fluctuations have an important impact (...)
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  209. Automatic Recommendation Algorithm for Video Background Music Based on Deep Learning.Hong Kai - 2021 - Complexity 2021:1-11.
    As one of the traditional entertainment items, video background music has gradually changed from traditional consumption to network consumption, which naturally also has the problem of information overload. From the perspective of model design and auxiliary information, this paper proposes a tightly coupled fusion model based on deep learning and collaborative filtering to alleviate the problem of poor prediction accuracy due to sparse matrix in the scoring prediction problem. In the use of auxiliary information, this paper uses crawler technology to (...)
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  210.  1
    A Simple Chaotic Wien Bridge Oscillator with a Fractional-Order Memristor and Its Combination Synchronization for Efficient Antiattack Capability.Anitha Karthikeyan, Karthikeyan Rajagopal, Victor Kamdoum Tamba, Girma Adam & Ashokkumar Srinivasan - 2021 - Complexity 2021:1-13.
    Memristor-based oscillators are of recent interest, and hence, in this paper, we introduce a new Wien bridge oscillator with a fractional-order memristor. The novelty of the proposed oscillator is the multistability feature and the wide range of fractional orders for which the system shows chaos. We have investigated the various dynamical properties of the proposed oscillator and have presented them in detail. The oscillator is then realized using off-the-shelf components, and the results are compared with that of the numerical results. (...)
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  211. Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction.Jamal Abdulrazzaq Khalaf, Abeer A. Majeed, Mohammed Suleman Aldlemy, Zainab Hasan Ali, Ahmed W. Al Zand, S. Adarsh, Aissa Bouaissi, Mohammed Majeed Hameed & Zaher Mundher Yaseen - 2021 - Complexity 2021:1-21.
    Accurate and reliable prediction of Perfobond Rib Shear Strength Connector is considered as a major issue in the structural engineering sector. Besides, selecting the most significant variables that have a major influence on PRSC in every important step for attaining economic and more accurate predictive models, this study investigates the capacity of deep learning neural network for shear strength prediction of PRSC. The proposed DLNN model is validated against support vector regression, artificial neural network, and M5 tree model. In the (...)
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  212.  8
    GAN-Holo: Generative Adversarial Networks-Based Generated Holography Using Deep Learning.Aamir Khan, Zhang Zhijiang, Yingjie Yu, Muhammad Amir Khan, Ketao Yan & Khizar Aziz - 2021 - Complexity 2021:1-7.
    Current development in a deep neural network has given an opportunity to a novel framework for the reconstruction of a holographic image and a phase recovery method with real-time performance. There are many deep learning-based techniques that have been proposed for the holographic image reconstruction, but these deep learning-based methods can still lack in performance, time complexity, accuracy, and real-time performance. Due to iterative calculation, the generation of a CGH requires a long computation time. A novel deep generative adversarial network (...)
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  213.  1
    Cardiac Disorder Classification by Electrocardiogram Sensing Using Deep Neural Network.Ali Haider Khan, Muzammil Hussain & Muhammad Kamran Malik - 2021 - Complexity 2021:1-8.
    Cardiac disease is the leading cause of death worldwide. Cardiovascular diseases can be prevented if an effective diagnostic is made at the initial stages. The ECG test is referred to as the diagnostic assistant tool for screening of cardiac disorder. The research purposes of a cardiac disorder detection system from 12-lead-based ECG Images. The healthcare institutes used various ECG equipment that present results in nonuniform formats of ECG images. The research study proposes a generalized methodology to process all formats of (...)
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  214. Election Prediction on Twitter: A Systematic Mapping Study.Asif Khan, Huaping Zhang, Nada Boudjellal, Arshad Ahmad, Jianyun Shang, Lin Dai & Bashir Hayat - 2021 - Complexity 2021:1-27.
    Context. Social media platforms such as Facebook and Twitter carry a big load of people’s opinions about politics and leaders, which makes them a good source of information for researchers to exploit different tasks that include election predictions. Objective. Identify, categorize, and present a comprehensive overview of the approaches, techniques, and tools used in election predictions on Twitter. Method. Conducted a systematic mapping study on election predictions on Twitter and provided empirical evidence for the work published between January 2010 and (...)
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  215. Impact of Lexical Features on Answer Detection Model in Discussion Forums.Atif Khan, Muhammad Adnan Gul, Abdullah Alharbi, M. Irfan Uddin, Shaukat Ali & Bader Alouffi - 2021 - Complexity 2021:1-8.
    Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. In most cases, a question in a web forum receives several responses, making it impossible for the question poster to obtain the most suitable answer. Thus, an important problem is how to automatically extract the most appropriate and high-quality answers in a thread. Prior studies have used different combinations of both lexical and nonlexical features to retrieve the most relevant answers from (...)
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  216. NN-QuPiD Attack: Neural Network-Based Privacy Quantification Model for Private Information Retrieval Protocols.Rafiullah Khan, Mohib Ullah, Atif Khan, Muhammad Irfan Uddin & Maha Al-Yahya - 2021 - Complexity 2021:1-8.
    Web search engines usually keep users’ profiles for multiple purposes, such as result ranking and relevancy, market research, and targeted advertisements. However, user web search history may contain sensitive and private information about the user, such as health condition, personal interests, and affiliations that may infringe users’ privacy since a user’s identity may be exposed and misused by third parties. Numerous techniques are available to address privacy infringement, including Private Information Retrieval protocols that use peer nodes to preserve privacy. Previously, (...)
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  217. Exploring a Design of Landslide Monitoring System.Rahat Khan, Suhail Yousaf, Abdul Haseeb & Muhammad Irfan Uddin - 2021 - Complexity 2021:1-13.
    Landslide is a critical natural geological hazard that causes severe damage to property, infrastructure, and humans. In general, some location-specific factors trigger a landslide. Wireless sensor network is an enabling technology to monitor most of the parameters associated with these factors. A challenge in landslide monitoring through WSN is that each sensed data item might be critical whereas the underlying wireless communication is often unreliable. In case of landslides, the terrains have irregular shapes, providing harsh conditions for wireless communication thereby (...)
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  218. Optimal Reactive Power Generation for Radial Distribution Systems Using a Highly Effective Proposed Algorithm.Le Chi Kien, Thuan Thanh Nguyen, Bach Hoang Dinh & Thang Trung Nguyen - 2021 - Complexity 2021:1-36.
    In this paper, a proposed modified stochastic fractal search algorithm is applied to find the most appropriate site and size of capacitor banks for distribution systems with 33, 69, and 85 buses. Two single-objective functions are considered to be reduction of power loss and reduction of total cost of energy loss and capacitor investment while satisfying limit of capacitors, limit of conductor, and power balance of the systems. MSFS was developed by performing three new mechanisms including new diffusion mechanism and (...)
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  219. SIFT Feature-Based Video Camera Boundary Detection Algorithm.Lingqiang Kong - 2021 - Complexity 2021:1-11.
    Aiming at the problem of low accuracy of edge detection of the film and television lens, a new SIFT feature-based camera detection algorithm was proposed. Firstly, multiple frames of images are read in time sequence and converted into grayscale images. The frame image is further divided into blocks, and the average gradient of each block is calculated to construct the film dynamic texture. The correlation of the dynamic texture of adjacent frames and the matching degree of SIFT features of two (...)
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  220. Chaotic Dynamics of a Mixed Rayleigh–Liénard Oscillator Driven by Parametric Periodic Damping and External Excitations.Yélomè Judicaël Fernando Kpomahou, Laurent Amoussou Hinvi, Joseph Adébiyi Adéchinan & Clément Hodévèwan Miwadinou - 2021 - Complexity 2021:1-18.
    In this paper, chaotic dynamics of a mixed Rayleigh–Liénard oscillator driven by parametric periodic damping and external excitations is investigated analytically and numerically. The equilibrium points and their stability evolutions are analytically analyzed, and the transitions of dynamical behaviors are explored in detail. Furthermore, from the Melnikov method, the analytical criterion for the appearance of the homoclinic chaos is derived. Analytical prediction is tested against numerical simulations based on the basin of attraction of initial conditions. As a result, it is (...)
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  221. The Optimized Multivariate Grey Prediction Model Based on Dynamic Background Value and Its Application.Tongfei Lao, Xiaoting Chen & Jianian Zhu - 2021 - Complexity 2021:1-13.
    As a tool for analyzing time series, grey prediction models have been widely used in various fields of society due to their higher prediction accuracy and the advantages of small sample modeling. The basic GM model is the most popular and important grey model, in which the first “1” stands for the “first order” and the second “N” represents the “multivariate.” The construction of the background values is not only an important step in grey modeling but also the key factor (...)
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  222.  2
    Policy and Law Assessment of COVID-19 Based on Smooth Transition Autoregressive Model.Jieqi Lei, Xuyuan Wang, Yiming Zhang, Lian Zhu & Lin Zhang - 2021 - Complexity 2021:1-13.
    As of the end of October 2020, the cumulative number of confirmed cases of COVID-19 has exceeded 45 million and the cumulative number of deaths has exceeded 1.1 million all over the world. Faced with the fatal pandemic, countries around the world have taken various prevention and control measures. One of the important issues in epidemic prevention and control is the assessment of the prevention and control effectiveness. Changes in the time series of daily new confirmed cases can reflect the (...)
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  223. Topology Control and Medium Access Control (MAC) Protocol for Wireless Sensor Networks (WSNs) in Cyber-Physical System.Ang Li, Chen Zhang, Baoyu Zheng & Lei Li - 2021 - Complexity 2021:1-12.
    The system reachability set is calculated by covering all possible behaviours of the system through a finite number of simulation steps to ensure that the system trajectory stays within a set safety region. In this paper, the theory of the game method is applied to the design of the controller, a very small controller is designed, and good control results are obtained by simulation. The system gradually shows a divergent trend and cannot achieve stable control. A multihop channel reservation Medium (...)
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  224.  1
    I-GANs for Infrared Image Generation.Bing Li, Yong Xian, Juan Su, Da Q. Zhang & Wei L. Guo - 2021 - Complexity 2021:1-11.
    The making of infrared templates is of great significance for improving the accuracy and precision of infrared imaging guidance. However, collecting infrared images from fields is difficult, of high cost, and time-consuming. In order to address this problem, an infrared image generation method, infrared generative adversarial networks, based on conditional generative adversarial networks architecture is proposed. In I-GANs, visible images instead of random noise are used as the inputs, and the D-LinkNet network is also utilized to build the generative model, (...)
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  225.  1
    Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption.Chao Li, Mengna Shi, Yanqi Zhou & Erfu Wang - 2021 - Complexity 2021:1-21.
    Considering the highly complex structure of quantum chaos and the nonstationary characteristics of speech signals, this paper proposes a quantum chaotic encryption and quantum particle swarm extraction method based on an underdetermined model. The proposed method first uses quantum chaos to encrypt the speech signal and then uses the local mean decomposition method to construct a virtual receiving array and convert the underdetermined model to a positive definite model. Finally, the signal is extracted using the Levi flight strategy based on (...)
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  226. Evolving Nature of Human Contact Networks with Its Impact on Epidemic Processes.Cong Li, Jing Li & Xiang Li - 2021 - Complexity 2021:1-13.
    Human contact networks constitute a multitude of individuals and pairwise contacts among them. However, the dynamic nature, which generates the evolution of human contact networks, of contact patterns is unknown yet. Here, we analyse three empirical datasets and identify two crucial mechanisms of the evolution of temporal human contact networks, i.e., the activity state transition laws for an individual to be socially active and the contact establishment mechanism that active individuals adopt. We consider both of the two mechanisms to propose (...)
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  227. A Parallel Attribute Reduction Method Based on Classification.Deguang Li & Zhanyou Cui - 2021 - Complexity 2021:1-8.
    Parallel processing as a method to improve computer performance has become a development trend. Based on rough set theory and divide-and-conquer idea of knowledge reduction, this paper proposes a classification method that supports parallel attribute reduction processing, the method makes the relative positive domain which needs to be calculated repeatedly independent, and the independent relative positive domain calculation could be processed in parallel; thus, attribute reduction could be handled in parallel based on this classification method. Finally, the proposed algorithm and (...)
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  228. Singularity and Decay Estimates for a Degenerate Parabolic Equation.Dongyan Li - 2021 - Complexity 2021:1-6.
    In this paper, a degenerate parabolic equation u t − div x θ ∇ u = x a u p with p > 1 and θ < 2, a ∈ ℝ, is considered. Based on rescaling arguments combined with a doubling property, the space-time singularity and decay estimates are established. Moreover, a universal and a priori bound of global nonnegative solutions for the corresponding initial boundary value problem is derived.
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  229. Assessing the Effectiveness of Mass Testing and Quarantine in the Spread of COVID-19 in Beijing and Xinjiang, 2020.Feng Li, Zhen Jin & Juan Zhang - 2021 - Complexity 2021:1-10.
    Coronavirus disease cases and COVID-19-related deaths have been increasing worldwide since the outbreak in 2019. Before the mass vaccination campaign for COVID-19, the main methods for COVID-19 control in China were mass testing and quarantine. Based on the transmission mechanism of COVID-19, we constructed a dynamic model for COVID-19 transmission in two typical regions: Beijing and Xinjiang. We calculated the basic reproduction number R 0, proved the global stability of COVID-19 transmission via the Lyapunov function technique, and introduced the final (...)
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  230. Trajectory Tracking Control in Real-Time of Dual-Motor-Driven Driverless Racing Car Based on Optimal Control Theory and Fuzzy Logic Method.Gang Li, Sucai Zhang, Lei Liu, Xubin Zhang & Yuming Yin - 2021 - Complexity 2021:1-16.
    To improve the accuracy and timeliness of the trajectory tracking control of the driverless racing car during the race, this paper proposes a track tracking control method that integrates the rear wheel differential drive and the front wheel active steering based on optimal control theory and fuzzy logic method. The model of the lateral track tracking error of the racing car is established. The model is linearized and discretized, and the quadratic optimal steering control problem is constructed. Taking advantage of (...)
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  231. Adaptive Sliding Mode Control for a Class of Manipulator Systems with Output Constraint.Guangshi Li - 2021 - Complexity 2021:1-7.
    In this paper, an adaptive sliding mode control method based on neural networks is presented for a class of manipulator systems. The main characteristic of the discussed system is that the output variable is required to keep within a constraint set. In order to ensure that the system output meets the time-varying constraint condition, the asymmetric barrier Lyapunov function is selected in the design process. According to Lyapunov stability theory, the stability of the closed-loop system is analyzed. It is demonstrated (...)
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  232. Optimization of the Enterprise Human Resource Management Information System Based on the Internet of Things.Haiqiu Li - 2021 - Complexity 2021:1-12.
    In this paper, the optimization of the enterprise HR information system is studied based on IoT first-off technology, the system demand phase is analysed, and the edge control system is designed and built. The hardware and software system and edge node management platform are implemented first, and then the communication scenarios between the edge layer of the system and the sensing layer, the edge layer, and the cloud layer are analysed, and the business type-driven link selection algorithm and the northbound (...)
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  233. An Infeasible Incremental Bundle Method for Nonsmooth Optimization Problem Based on CVaR Portfolio.Jia-Tong Li, Jie Shen & Na Xu - 2021 - Complexity 2021:1-8.
    For CVaR portfolio nonsmooth optimization problem, we propose an infeasible incremental bundle method on the basis of the improvement function and the main idea of incremental method for solving convex finite min-max problems. The presented algorithm only employs the information of the objective function and one component function of constraint functions to form the approximate model for improvement function. By introducing the aggregate technique, we keep the information of previous iterate points that may be deleted from bundle to overcome the (...)
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  234.  2
    Two-Agent Single Machine Order Acceptance Scheduling Problem to Maximize Net Revenue.Jiaji Li, Yuvraj Gajpal, Amit Kumar Bhardwaj, Huangen Chen & Yuanyuan Liu - 2021 - Complexity 2021:1-14.
    The paper considers two-agent order acceptance scheduling problems with different scheduling criteria. Two agents have a set of jobs to be processed by a single machine. The processing time and due date of each job are known in advance. In the order accepting scheduling problem, jobs are allowed to be rejected. The objective of the problem is to maximize the net revenue while keeping the weighted number of tardy jobs for the second agent within a predetermined value. A mixed-integer linear (...)
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  235. Grey Correlation Analysis of Economic Growth and Cultural Industry Competitiveness.Jian Li - 2021 - Complexity 2021:1-11.
    The influence of cultural industry competitiveness on economic growth is analyzed by using grey relational degree method. Then, the influence of cultural industry on the three industries is analyzed and compared in the same way. On this basis, further from the cultural industry, the impacts of core layer, outer layer, and related layer on economic growth were compared and analyzed. Finally, the economic growth model is used to measure the impact of investment, labor, and innovation in cultural industry on economic (...)
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  236. Dynamic Warping Network for Semantic Video Segmentation.Jiangyun Li, Yikai Zhao, Xingjian He, Xinxin Zhu & Jing Liu - 2021 - Complexity 2021:1-10.
    A major challenge for semantic video segmentation is how to exploit the spatiotemporal information and produce consistent results for a video sequence. Many previous works utilize the precomputed optical flow to warp the feature maps across adjacent frames. However, the imprecise optical flow and the warping operation without any learnable parameters may not achieve accurate feature warping and only bring a slight improvement. In this paper, we propose a novel framework named Dynamic Warping Network to adaptively warp the interframe features (...)
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  237. Transformation of Nonmultiple Cluster Music Cyclic Shift Topology to Music Performance Style.Jing Li - 2021 - Complexity 2021:1-11.
    Music is an abstract art form that uses sound as its means of expression. It has deeply affected our lives. This paper proposes a method for extracting segment features from nonmultiple cluster music files. We divide each piece of music into multiple segments and extract the features of each segment. The specific process includes nonmultiple cluster music file note extraction, main melody extraction, segment division, and segment feature extraction. The segment feature is extracted from a segment of a piece of (...)
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  238. Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China.Jingzhong Li, Xiao Xie, Bingyu Zhao, Xiao Xiao, Jingxin Qiao & Wanxia Ren - 2021 - Complexity 2021:1-10.
    The rational allocation of functional areas is the foundation for addressing the sustainable development of cities. Efficient and accurate identification methods of urban functional areas are of great significance to the adjustment and testing of urban planning and industrial layout optimization. Firstly, by employing multisource geographic data, an identification method of urban functional areas was developed. A quantitative measurement approach of the urban functional area was then established considering the comprehensive effects of human-land, space-time, and thematic information to present the (...)
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  239. False Financial Statement Identification Based on Fuzzy C-Means Algorithm.Jixiao Li - 2021 - Complexity 2021:1-11.
    Financial accountants falsify financial statements by means of financial techniques such as financial practices and financial standards, and when compared with conventional financial data, it is found that the falsified financial data often lack correlation or even contradict each other in terms of financial data indicators. At the same time, there are also inherent differences in reporting patterns from conventional financial data, but these differences are difficult to test manually. In this paper, the fuzzy C-means clustering method is used to (...)
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  240. Effect of Bird Yaw/Pitch Angles on Soft Impact Damage of a Fan Assembly.Junjie Li, Yunfeng Lou, Gaoyuan Yu, Tong Li & Xianlong Jin - 2021 - Complexity 2021:1-13.
    This paper presents a numerical investigation of bird attitude angles affecting the soft-impact damage of a full fan assembly. Firstly, considering the geometry of a mallard, a real bird model is established by the Smoothed Particle Hydrodynamics method and calibrated with available test data. Then, complying with airworthiness requirements, simulations of a full-bladed fan assembly subjected to a real bird were conducted to determine the critical ingestion parameters. Furthermore, a real bird with different attitude angles aimed at a full fan (...)
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  241. Multivisual Animation Character 3D Model Design Method Based on VR Technology.Leiming Li, Wenyao Zhu & Hongwei Hu - 2021 - Complexity 2021:1-12.
    For VR systems, one of its core parts is to present people with a real and immersive 3D simulation environment. This paper uses real-time computer graphics technology, three-dimensional modeling technology, and binocular stereo vision technology to study the multivisual animation character objects in virtual reality technology; designs a binocular stereo vision animation system; designs and produces a three-dimensional model; and develops a virtual multivisual animation scene application. The main research content and work performed in the text include the research of (...)
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  242. Analysis of Financing Risk and Innovation Motivation Mechanism of Financial Service Industry Based on Internet of Things.Luya Li & Hongxun Li - 2021 - Complexity 2021:1-9.
    It is of practical significance to introduce the Internet of Things technology into the financial service industry and find the driving factors and mechanisms of financial innovation to accelerate the promotion of financial innovation. This article starts from the perspective of banks and other supply chain financial institutions, takes mainstream trading products in the commodity trading market as the research object, uses the LA-VAR model, and fully considers the market price fluctuations and liquidity factors of supply chain financial inventory products. (...)
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  243.  1
    A Review of the Research Progress of Social Network Structure. [REVIEW]Ning Li, Qian Huang, Xiaoyu Ge, Miao He, Shuqin Cui, Penglin Huang, Shuairan Li & Sai-Fu Fung - 2021 - Complexity 2021:1-14.
    Social network theory is an important paradigm of social structure research, which has been widely used in various fields of research. This paper reviews the development process and the latest progress of social network theory research and analyzes the research application of social network. In order to reveal the deep social structure, this paper analyzes the structure of social networks from three levels: microlevel, mesolevel, and macrolevel and reveals the origin, development, perfection, and latest achievements of complex network models. The (...)
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  244. Optimization and Quality Analysis of Different Extraction Methods of Palm Seed Oil.Qi-Zhao Li & Zheng-Qun Cai - 2021 - Complexity 2021:1-8.
    The extraction process of palm seed oil was optimized. Using palm seed as raw material, oil extraction rate was used as an index. The effects of flash extraction, ultrasonic-assisted extraction, supercritical extraction, and aqueous enzymatic extraction on the yield of palm seed oil were investigated. The extraction methods and technological conditions of palm seed oil were optimized by the orthogonal method on the basis of single factor. The seed oil was analyzed and detected. The results showed that the water enzymatic (...)
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  245. A Gaussian Process Latent Variable Model for Subspace Clustering.Shangfang Li - 2021 - Complexity 2021:1-7.
    Effective feature representation is the key to success of machine learning applications. Recently, many feature learning models have been proposed. Among these models, the Gaussian process latent variable model for nonlinear feature learning has received much attention because of its superior performance. However, most of the existing GPLVMs are mainly designed for classification and regression tasks, thus cannot be used in data clustering task. To address this issue and extend the application scope, this paper proposes a novel GPLVM for clustering. (...)
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  246. Application of Linear Regression Mathematical Model in the Evaluation of Teachers’ Informatization Quality.Shuping Li & Xinlei Yuan - 2021 - Complexity 2021:1-10.
    With the widespread application of information technology and the continuous deepening of my country’s education informatization construction, the educational field has increasingly higher requirements for teachers’ informatization quality. The advancement of the process of education informatization depends to a large extent on the level of teachers’ own level of informatization and has gradually become an important indicator to measure the informatization of education. The main body of education and the decisive factor are teachers. The scientific and reasonable evaluation of informatization (...)
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  247. The Effect of Product-Harm Crises on the Financial Value of Firms Under the Concept of Green Development.Songsong Li, Yaopan Yang & Dong Zhang - 2021 - Complexity 2021:1-12.
    Product-harm crises can trigger product recalls or product discards, which is very likely to cause secondary pollution to the environment. Also, these crises may harm customers’ health and threaten firms’ survival. To foster low-carbon economy and green development in such complex systems, this paper studies the internal mechanism of the product crisis and its impact on the firm value. It proposes a two-stage model to avoid the endogeneity of product-harm crises. In the first stage, this paper assesses the effect of (...)
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  248. Sizing a Hybrid Renewable Energy System by a Coevolutionary Multiobjective Optimization Algorithm.Wenhua Li, Guo Zhang, Xu Yang, Zhang Tao & Hu Xu - 2021 - Complexity 2021:1-9.
    Hybrid renewable energy system arises regularly in real life. By optimizing the capacity and running status of the microgrid, HRES can decrease the running cost and improve the efficiency. Such an optimization problem is generally a constrained mixed-integer programming problem, which is usually solved by linear programming method. However, as more and more devices are added into MG, the mathematical model of HRES refers to nonlinear, in which the traditional method is incapable to solve. To address this issue, we first (...)
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  249.  1
    Multiscale Receptive Fields Graph Attention Network for Point Cloud Classification.Xi-An Li, Li-Yan Wang & Jian Lu - 2021 - Complexity 2021:1-9.
    Understanding the implication of point cloud is still challenging in the aim of classification or segmentation for point cloud due to its irregular and sparse structure. As we have known, PointNet architecture as a ground-breaking work for point cloud process can learn shape features directly on unordered 3D point cloud and has achieved favorable performance, such as 86% mean accuracy and 89.2% overall accuracy for classification task, respectively. However, this model fails to consider the fine-grained semantic information of local structure (...)
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  250.  7
    The Analysis of Opinion Evolution and Control Based on the Prisoner’s Dilemma Game in Social Networks.Xianyong Li, Jian Zhu, Yajun Du & Qian Zhang - 2021 - Complexity 2021:1-16.
    In a social network, a user is greatly influenced by their neighbors’ opinions, and the user’s opinion updating can be regarded as the prisoner’s dilemma game. In view of such considerations, this paper proposes an opinion evolution and control model based on the prisoner’s dilemma game and gives the corresponding opinion evolution and control algorithm. Under different initial positive opinion proportions, different opinion control levels, and the same control threshold value and under different initial positive opinion proportions, different opinion control (...)
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  251. Spatial Spillover Effect of Government Public Health Spending on Regional Economic Growth During the COVID-19 Pandemic: An Evidence From China.Xiaofei Li, Fen Chen & Songbo Hu - 2021 - Complexity 2021:1-10.
    The COVID-19 pandemic, which was first reported at the end of 2019, has had a massive impact on the Chinese economy and society. The pandemic has seriously tested the emergency management capabilities of the Chinese government regarding public health. Based on the panel data of 31 provinces in China for the period of 2006–2019, this paper examines the impacts of government public health spending on regional economic growth. Furthermore, the possibility of spatial spillover effects of government public health spending is (...)
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  252.  1
    Short Circuit Fault Detection Against High Thermal Background Using a Two-Level Scheme Based on DoG Filter.Xin Li, Yonggang Li, Hongqiu Zhu, Renchao Wu & Can Zhou - 2021 - Complexity 2021:1-13.
    Short circuit is a key factor which drastically affects the efficiency of metal electrorefining. Infrared image of the intercell busbar region is used to perform short circuit detection. To cope with the high thermal background, a two-level short circuit detection method is designed. Firstly, with background subtraction, high intensity short circuit electrodes, as well as the background, are removed, and normal working electrodes are preserved. In the second stage, suspicious short circuit areas are sifted out by normal electrode detecting and (...)
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  253. Dynamic Combination Evaluation Method of Rural Environmental Pollution Control Effect.Xinjie Li - 2021 - Complexity 2021:1-10.
    In recent years, the problem of environmental pollution has become more and more serious, and environmental pollution has become a topic of concern. PM2.5, PM10, hazy weather, and other words about environmental pollution have become hot words and topics for the media and the public to talk about, and environmental pollution control is called for by the media and the public. This reflects the rapid development of economy and the obvious changes in people’s living standards, and people have higher requirements (...)
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  254. Construction of a Complex System Based on Big Data for the Intelligent Service System of Youth Physical Health.Xinwen Li, Chao Song, Christine A. Rochester & Chaobing Yan - 2021 - Complexity 2021:1-12.
    The progress of social economy has created a better environment for the healthy development of young people, but the heavy schoolwork and life pressure have caused many students to ignore the scientific management of physical health. At this stage, people need a scientific physical health service system to help students understand their own health data, propose targeted exercise methods and health knowledge, and actively encourage and guide students to participate in physical exercise. The purpose of this article is to cultivate (...)
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  255. Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System.Yafei Li, Hongfeng Wang, Li Li & Yaping Fu - 2021 - Complexity 2021:1-15.
    As one of the most effective medical technologies for the infertile patients, in vitro fertilization has been more and more widely developed in recent years. However, prolonged waiting for IVF procedures has become a problem of great concern, since this technology is only mastered by the large general hospitals. To deal with the insufficiency of IVF service capacity, this paper studies an IVF queuing network in an integrated cloud healthcare system, where the two key medical services, that is, egg retrieval (...)
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  256. The Study of the Spatial Heterogeneity and Structural Evolution of the Producer Services Trade Network.Yan Li, Xuehan Liang & Qingbo Huang - 2021 - Complexity 2021:1-23.
    Constructing an all-directional, multilevel, and composite interconnection network, accelerating the free flow of producer services elements across regions, and further improving the efficiency of resource integration demand to conduct a comprehensive and systematic analysis of producer services trade. Thus, using bilateral trade data, this paper builds producer services trade network composed of 61 major countries and innovatively combines the methods of social network and economic geography to explore its spatiotemporal evolution and system properties. The results show that, firstly, the producer (...)
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  257. Analysis of Regional Economic Development Differences Based on Intelligent Hybrid Algorithm.Yanyan Li - 2021 - Complexity 2021:1-12.
    The diversities in the natural, social, and human environment of various regions often lead to the differences in their regional economic development level and industrial structure and layout; moderate regional differences can mobilize economic vitality and improve development efficiency, but excessive differences may lead to social instability or even turbulence. Intelligent algorithms or their improved and hybrid algorithms can recently achieve more suitable solutions to practical problems of nonlinear, discrete, nondifferentiable, and multiple constraints. Therefore, this paper's main point is on (...)
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  258. Valency-Based Topological Properties of Linear Hexagonal Chain and Hammer-Like Benzenoid.Yi-Xia Li, Abdul Rauf, Muhammad Naeem, Muhammad Ahsan Binyamin & Adnan Aslam - 2021 - Complexity 2021:1-16.
    Topological indices are quantitative measurements that describe a molecule’s topology and are quantified from the molecule’s graphical representation. The significance of topological indices is linked to their use in QSPR/QSAR modelling as descriptors. Mathematical associations between a particular molecular or biological activity and one or several biochemical and/or molecular structural features are QSPRs and QSARs. In this paper, we give explicit expressions of two recently defined novel ev-degree- and ve-degree-based topological indices of two classes of benzenoid, namely, linear hexagonal chain (...)
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  259. Person Reidentification Model Based on Multiattention Modules and Multiscale Residuals.Yongyi Li, Shiqi Wang, Shuang Dong, Xueling Lv, Changzhi Lv & Di Fan - 2021 - Complexity 2021:1-10.
    At present, person reidentification based on attention mechanism has attracted many scholars’ interests. Although attention module can improve the representation ability and reidentification accuracy of Re-ID model to a certain extent, it depends on the coupling of attention module and original network. In this paper, a person reidentification model that combines multiple attentions and multiscale residuals is proposed. The model introduces combined attention fusion module and multiscale residual fusion module in the backbone network ResNet 50 to enhance the feature flow (...)
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  260. Communication Network for Sports Activity Monitoring Systems.Yuhua Li, Lishuang Wan & Haimin Zhang - 2021 - Complexity 2021:1-10.
    In this paper, through research and analysis of the communication network of the physical activity monitoring system, we combine wearable technology and identification technology and design a physical health monitoring bracelet that integrates multifaceted physical data collection and effective identity matching function. We match the identity through the chip and collect the physical fitness data generated in the process of exercise and centralized test by the sensor in real-time. Finally, the data transmission is realized through the WIFI communication function to (...)
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  261. Recognition and Simulation of Exercise Mode Based on Energy Consumption Model.Yulei Li - 2021 - Complexity 2021:1-11.
    Sports energy consumption is a quantitative reflection of physical exercise effect. Combined with different sports modes and students’ physical characteristics, the calculation model of sports energy consumption is put forward. Firstly, the relationship between students’ age, height, weight, gender, and energy consumption is analyzed by using multiple linear regression method, and a linear acceleration model is proposed by combining different exercise methods. The relationship between the integral value of acceleration and energy consumption is analyzed, and a linear integral model based (...)
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  262. A Novel Robust Fuzzy Rough Set Model for Feature Selection.Yuwen Li, Shoushui Wei, Xing Liu & Zhimin Zhang - 2021 - Complexity 2021:1-12.
    The existing fuzzy rough set models all believe that the decision attribute divides the sample set into several “clear” decision classes, and this data processing method makes the model sensitive to noise information when conducting feature selection. To solve this problem, this paper proposes a robust fuzzy rough set model based on representative samples. Firstly, the fuzzy membership degree of the samples is defined to reflect its fuzziness and uncertainty, and RS-FRS model is constructed to reduce the influence of the (...)
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  263.  1
    An Effective Chaos-Based Image Encryption Scheme Using Imitating Jigsaw Method.Zhen Li, Changgen Peng, Weijie Tan & Liangrong Li - 2021 - Complexity 2021:1-18.
    In this paper, an efficient chaos-based image encryption scheme is proposed, which uses the imitating jigsaw method containing revolving and shifting operations. In this scheme, there are three processes in encryption: preprocessing, encryption process, and postprocessing. In the preprocessing, the original image is partitioned into 64 × 64 pixel image blocks and then randomly revolved and shifted under control sequences which are generated by the hyperchaotic Lorenz system whose initial conditions are calculated by original image and keys. Therefore, the preprocessing (...)
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  264.  1
    The Influence of Information Diffusion on Interbank Risk Contagion.Zhinan Li, Peilong Shen & Xiaoyuan Liu - 2021 - Complexity 2021:1-21.
    In this paper, the stylized features of incomplete and asymmetric information in the interbank market leading to banks’ precautionary behaviors are introduced. Based on banks’ stylized behavioral rules, the influencing mechanism of information diffusion on interbank risk contagion is analyzed, and how the existence of information diffusion and banks’ information-obtaining ability influence the interbank risk contagion is verified through computational simulations. The results show that information diffusion can significantly accelerate the process of and magnify the extent and probability of interbank (...)
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  265.  3
    Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell.Lei Lian, Peng Ji, Tianyu OuYang, Fengying Ma, Shanwen Xu, Chao Gao & Jing Liu - 2021 - Complexity 2021:1-8.
    Microbial fuel cell is a renewable clean energy. Microorganisms are used as catalysts to convert the chemical energy of organic matter in the sewage into electrical energy to realize sewage treatment and recover energy at the same time. It has good development prospects. However, the output power of MFC is affected by many factors, and it is difficult to achieve a stable voltage output. For the control-oriented single-chamber MFC, a fuzzy integral sliding mode control is designed. The continuous adjustment of (...)
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  266. Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities.Gaofeng Liang - 2021 - Complexity 2021:1-10.
    In this paper, we study the structural optimization of community governance in smart cities and optimize the structure based on the game analysis of dynamic planning evolution. Theoretically, the connotation and extension of the concept of “self-organization” are cleared, and the environment and conditions of community self-organization formation, the formation process of community self-organization, and the types of community self-organization are discussed. The so-called “self-organization” is a process of spontaneously moving from disorder to order, and the environment and conditions of (...)
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  267. Optimization of Enterprise Labor Resource Allocation Based on Quality Optimization Model.Gaoyang Liang, Long Xu & Liang Chen - 2021 - Complexity 2021:1-10.
    Companies take project-based management as their organizational strategy, and project quality assurance plays a vital role in improving customer satisfaction and enhancing corporate image. Starting from the perspective of optimizing project quality, this paper assigns different quality influencing factors to each project and each task of the project, divides the labor resources shared by multiple projects in the enterprise according to the skill level, and transforms the problem of project quality optimization. The problem of the highest skill level of labor (...)
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  268. Security Risk Analysis of Active Distribution Networks with Large-Scale Controllable Loads Under Malicious Attacks.Jiaqi Liang, Yibei Wu, Jun’E. Li, Xiong Chen, Heqin Tong & Ming Ni - 2021 - Complexity 2021:1-12.
    With the development of distributed networks, the remote controllability of the distributed energy objects and the vulnerability of user-side information security protection measures make distributed energy objects extremely vulnerable to malicious control by attackers. Hence, the large-scale loads may produce abnormal operation performance, such as load casting/dropping synchronously or frequent and synchronous casting and dropping, and hence, it can threaten the security and stable operation of the distribution networks. First, we analyze the security threats faced by industrial controllable load, civil (...)
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  269. Optimization of Quantitative Financial Data Analysis System Based on Deep Learning.Meiyi Liang - 2021 - Complexity 2021:1-11.
    In order to better assist investors in the evaluation and decision-making of financial data, this paper puts forward the need to build a reliable and effective financial data prediction model and, on the basis of financial data analysis, integrates deep learning algorithm to analyze financial data and completes the financial data analysis system based on deep learning. This paper introduces the implementation details of the key modules of the platform in detail. The user interaction module obtains and displays the retrieval (...)
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  270.  1
    Rough Set Approach Toward Data Modelling and User Knowledge for Extracting Insights.Xiaoqun Liao, Shah Nazir, Junxin Shen, Bingliang Shen & Sulaiman Khan - 2021 - Complexity 2021:1-9.
    Information is considered to be the major part of an organization. With the enhancement of technology, the knowledge level is increasing with the passage of time. This increase of information is in volume, velocity, and variety. Extracting meaningful insights is the dire need of an individual from such information and knowledge. Visualization is a key tool and has become one of the most significant platforms for interpreting, extracting, and communicating information. The current study is an endeavour toward data modelling and (...)
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  271. User Knowledge, Data Modelling, and Visualization: Handling Through the Fuzzy Logic-Based Approach.Xiaoqun Liao, Shah Nazir, Yangbin Zhou, Muhammad Shafiq & Xuelin Qi - 2021 - Complexity 2021:1-14.
    In modern day technology, the level of knowledge is increasing day by day. This increase is in terms of volume, velocity, and variety. Understanding of such knowledge is a dire need of an individual to extract meaningful insight from it. With the advancement in computer and image-based technologies, visualization becomes one of the most significant platforms to extract, interpret, and communicate information. In data modelling, visualization is the process of extracting knowledge to reveal the detail data structure and process of (...)
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  272. Influencing Factors of Social Service Satisfaction of the Elderly Under the Background of Internet Attention.Miao Lin - 2021 - Complexity 2021:1-10.
    Improving the life service for the elderly is a topic of great concern to the government and society. This paper explores the influence of net attention on social work service satisfaction of the elderly. This paper studies and analyzes the current situation of the elderly’s net attention and social satisfaction, constructs the index system of social service satisfaction through the sample data of 17 districts and counties in A province, and establishes a multilayer linear model to analyze the influencing factors (...)
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  273. Financial Risk Information Spreading on Metapopulation Networks.Min Lin & Li Duan - 2021 - Complexity 2021:1-7.
    The financial risk information diffuses through various kinds of social networks, such as Twitter and Facebook. Individuals transmit the financial risk information which can migrate among different platforms or forums. In this paper, we propose a financial risk information spreading model on metapopulation networks. The subpopulation represents a platform or forum, and individuals migrate among them to transmit the information. We use a discrete-time Markov chain approach to describe the spreading dynamics’ evolution and deduce the outbreak threshold point. We perform (...)
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  274. Method and Realization of Efficient Extraction of Basic Geological Data From Two-Dimensional Mine Drawings.Xiaobo Lin - 2021 - Complexity 2021:1-12.
    In coal mining technology systems, it is very important to acquire, store, and represent basic geological data comprehensively and accurately. Based on the current working mode and information level in mining geology at coal mines, this paper proposes a process of building basic geological database for modeling of coal mines by using existing results’ data of mining geology and develops the efficient program for getting the basic geological data from the important 2D plane drawings’ achievement at mines, such as the (...)
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  275. Iterative Learning Tracking Control of Nonlinear Multiagent Systems with Input Saturation.Bingyou Liu, Zhengzheng Zhang, Lichao Wang, Xing Li & Xiongfeng Deng - 2021 - Complexity 2021:1-13.
    A tracking control algorithm of nonlinear multiple agents with undirected communication is studied for each multiagent system affected by external interference and input saturation. A control design scheme combining iterative learning and adaptive control is proposed to perform parameter adaptive time-varying adjustment and prove the effectiveness of the control protocol by designing Lyapunov functions. Simulation results show that the high-precision tracking control problem of the nonlinear multiagent system based on adaptive iterative learning control can be well realized even when the (...)
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  276.  6
    Evaluation Model of Low-Carbon Circular Economy Coupling Development in Forest Area Based on Radial Basis Neural Network.Chang Liu - 2021 - Complexity 2021:1-12.
    In this paper, we study the radial neural network algorithm for low-carbon circular economy in forest area, design a coupled development evaluation model, study its algorithmic ideas operation mode and the update formula obtained by standard algorithm, and finally optimize the RBF neural network by particle swarm algorithm. After an in-depth analysis of the particle swarm algorithm, an improved particle swarm algorithm is proposed to improve the search accuracy and capability of the algorithm by nonlinearly adjusting the inertia weights and (...)
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  277. Emergency Scheduling Optimization Simulation of Cloud Computing Platform Network Public Resources.Dingrong Liu, Zhigang Yao & Liukui Chen - 2021 - Complexity 2021:1-11.
    Emergency scheduling of public resources on the cloud computing platform network can effectively improve the network emergency rescue capability of the cloud computing platform. To schedule the network common resources, it is necessary to generate the initial population through the Hamming distance constraint and improve the objective function as the fitness function to complete the emergency scheduling of the network common resources. The traditional method, from the perspective of public resource fairness and priority mapping, uses incremental optimization algorithm to realize (...)
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  278. A Data Preservation Method Based on Blockchain and Multidimensional Hash for Digital Forensics.Gongzheng Liu, Jingsha He & Xinggang Xuan - 2021 - Complexity 2021:1-12.
    Since digital forensics becomes more and more popular, more and more attention has been paid to the originality and validity of data, and data preservation technology emerges as the times require. However, the current data preservation models and technologies are only the combination of cryptography technology, and there is a risk of being attacked and cracked. And in the process of data preservation, human participation is also needed, which may lead to data tampering. To solve problems given, this paper presents (...)
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  279. The Evolution and Determinants of Interorganizational Coinvention Networks in New Energy Vehicles: Evidence From Shenzhen, China.Jia Liu, Zhaohui Chong & Shijian Lu - 2021 - Complexity 2021:1-12.
    With the increasing attention to climate change, air pollution, and related public health issues, China’s new energy vehicles industry has developed rapidly. However, few studies investigated the evolution of interorganizational collaborative innovation networks in the sector domain of NEVs and the influence of different drivers on the establishment of innovation relationships. In this context, this paper uses the joint invention patent of Shenzhen, a low-carbon pilot city of China, to investigate the dynamics of network influencing factors. The social network analysis (...)
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  280.  1
    Joint Resource Allocation Optimization of Wireless Sensor Network Based on Edge Computing.Jie Liu & Li Zhu - 2021 - Complexity 2021:1-11.
    Resource allocation has always been a key technology in wireless sensor networks, but most of the traditional resource allocation algorithms are based on single interface networks. The emergence and development of multi-interface and multichannel networks solve many bottleneck problems of single interface and single channel networks, it also brings new opportunities to the development of wireless sensor networks, but the multi-interface and multichannel technology not only improves the performance of wireless sensor networks but also brings great challenges to the resource (...)
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  281. Winning and Losing Relationship: A New Method of University Ranking in the Case of Countries Along the Belt and Road.Jin Liu, Songyue Lin, Manling Wu & Wenjing Lyu - 2021 - Complexity 2021:1-13.
    From the perspective of the complex system, university ranking is a complex system that involves multiagent actors, which evolve over time. Yet, current major university rankings fail to reflect the system dynamics of the university innovation system. In this paper, we apply the complex system model in the field of the university innovation system in the context of university ranking in the countries along the Belt and Road, which is a long-term overlooked field. We introduce a new method of university (...)
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  282. Illustration Design Model with Clustering Optimization Genetic Algorithm.Jing Liu, Qixing Chen & Xiaoying Tian - 2021 - Complexity 2021:1-10.
    For the application of the standard genetic algorithm in illustration art design, there are still problems such as low search efficiency and high complexity. This paper proposes an illustration art design model based on operator and clustering optimization genetic algorithm. First, during the operation of the genetic algorithm, the values of the crossover probability and the mutation probability are dynamically adjusted according to the characteristics of the population to improve the search efficiency of the algorithm, then the k-medoids algorithm is (...)
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  283. An Approach of Community Search with Minimum Spanning Tree Based on Node Embedding.Jinglian Liu, Daling Wang, Shi Feng & Yifei Zhang - 2021 - Complexity 2021:1-13.
    Community search is a query-oriented variant of community detection problem, and the goal is to retrieve a single community from a given set of nodes. Most of the existing community search methods adopt handcrafted features, so there are some limitations in applications. Our idea is motivated by the recent advances of node embedding. Node embedding uses deep learning method to obtain feature representation of nodes directly from graph structure automatically and offers a new method to measure the distance between two (...)
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  284. Dynamics of a Predator-Prey Model with Fear Effect and Time Delay.Junli Liu, Pan Lv, Bairu Liu & Tailei Zhang - 2021 - Complexity 2021:1-16.
    In this paper, we propose a time-delayed predator-prey model with Holling-type II functional response, which incorporates the gestation period and the cost of fear into prey reproduction. The dynamical behavior of this system is both analytically and numerically investigated from the viewpoint of stability, permanence, and bifurcation. We found that there are stability switches, and Hopf bifurcations occur when the delay τ passes through a sequence of critical values. The explicit formulae which determine the direction, stability, and other properties of (...)
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  285. Spatiotemporal Heterogeneity and Driving Force Analysis of Innovation Output in the Yangtze River Economic Zone: The Perspective of Innovation Ecosystem.Ke Liu, Yurong Qiao & Qian Zhou - 2021 - Complexity 2021:1-16.
    The Yangtze River Economic Zone is a major corridor of national science and innovation culture, an innovation-driven region that fosters new drivers of growth and leads transformation and development, and plays an important strategic support and exemplary leading role in the overall pattern of regional development. This paper analyzes the spatiotemporal differentiation characteristics of innovation output of 110 cities of YREZ from 2008 to 2018 by using Gini coefficient, coefficient of variation, geographical weighted regression, and other methods. The factors affecting (...)
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  286. Research on Risk Identification System Based on Random Forest Algorithm-High-Order Moment Model.Li-Jun Liu, Wei-Kang Shen & Jia-Ming Zhu - 2021 - Complexity 2021:1-10.
    With the continuous development of the stock market, designing a reasonable risk identification tool will help to solve the irrational problem of investors. This paper first selects the stocks with the most valuable investment value in the future through the random forest algorithm in the nine-factor model and then analyzes them by using the higher-order moment model to find that different investors’ preferences will make the weight of the portfolio change accordingly, which will eventually make the optimal return and risk (...)
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  287.  1
    Flood Simulation Analysis of the Biliu River Basin Based on the MIKE Model.Qi Liu, Dianwu Wang, Yulong Zhang & Li Wang - 2021 - Complexity 2021:1-10.