263 found

Year:

  1. Lazy Network: A Word Embedding-Based Temporal Financial Network to Avoid Economic Shocks in Asset Pricing Models.George Adosoglou, Seonho Park, Gianfranco Lombardo, Stefano Cagnoni & Panos M. Pardalos - 2022 - Complexity 2022:1-12.
    Public companies in the US stock market must annually report their activities and financial performances to the SEC by filing the so-called 10-K form. Recent studies have demonstrated that changes in the textual content of the corporate annual filing can convey strong signals of companies’ future returns. In this study, we combine natural language processing techniques and network science to introduce a novel 10-K-based network, named Lazy Network, that leverages year-on-year changes in companies’ 10-Ks detected using a neural network embedding (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  2. A Fuzzy DEMATEL-ANP-Based Approach to Prioritize Activities in Enterprise Architecture.Jamshid Afshani, Abbas Karimi, Nafiseh Osati Eraghi & Faraneh Zarafshan - 2022 - Complexity 2022:1-12.
    Prioritization of activities is a multicriteria problem that includes both quantitative and qualitative factors. Moreover, due to the nature of organizations and activities, the impact of activities on each other is fuzzy. Prioritizing activities in real and fuzzy situations will help an organization’s decision makers to make the right decisions. In this paper, a new fuzzy hybrid methodology is proposed to describe and prioritize the activities of the organization in fuzzy conditions. First, the activities of the organization are described in (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  3. Vertex-Edge-Degree-Based Topological Properties for Hex-Derived Networks.Ali Ahmad & Muhammad Imran - 2022 - Complexity 2022:1-13.
    A topological index can be focused on uprising of a chemical structure into a real number. The degree-based topological indices have an active place among all topological indices. These topological descriptors intentionally associate certain physicochemical assets of the corresponding chemical compounds. Graph theory plays a very useful role in such type of research directions. The hex-derived networks have vast applications in computer science, physical sciences, and medical science, and these networks are constructed by hexagonal mesh networks. In this paper, we (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  4. Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier.Mahmood Ahmad, Herda Yati Katman, Ramez A. Al-Mansob, Feezan Ahmad, Muhammad Safdar & Arnold C. Alguno - 2022 - Complexity 2022:1-10.
    Rockburst phenomenon is the primary cause of many fatalities and accidents during deep underground projects constructions. As a result, its prediction at the early design stages plays a significant role in improving safety. The article describes a newly developed model to predict rockburst intensity grade using Adaptive Boosting classifier. A database including 165 rockburst case histories was collected from across the world to achieve a comprehensive representation, in which four key influencing factors such as maximum tangential stress of the excavation (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  5. Theoretical Model Development for Energy Motion of Dusty Turbulent Flow of Fibre Suspensions in a Rotational Frame.Shams Forruque Ahmed - 2022 - Complexity 2022:1-11.
    Fibre suspension has garnered considerable attention in turbulent flows that are used in many industries. Solid particles, such as dust particles, notably affect the turbulent flow field in a rotational frame. In assessing their impacts, the dusty turbulent flow for fibre suspensions needs to be studied in a frame of rotation that can be substantially applied in many industries. This study, therefore, aims to build a theoretical model for the energy motion of dusty turbulent flow of fibre suspensions in a (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  6. A Novel Modeling Technique for the Forecasting of Multiple-Asset Trading Volumes: Innovative Initial-Value-Problem Differential Equation Algorithms for Reinforcement Machine Learning.Mazin A. M. Al Janabi - 2022 - Complexity 2022:1-16.
    Liquidity risk arises from the inability to unwind or hedge trading positions at the prevailing market prices. The risk of liquidity is a wide and complex topic as it depends on several factors and causes. While much has been written on the subject, there exists no clear-cut mathematical description of the phenomena and typical market risk modeling methods fail to identify the effect of illiquidity risk. In this paper, we do not propose a definitive one either, but we attempt to (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  7. The Co-Movement Between International and Emerging Stock Markets Using ANN and Stepwise Models: Evidence From Selected Indices.Dania Al-Najjar - 2022 - Complexity 2022:1-14.
    In the past two decades, especially after the financial crisis of 2007–09, the literature for examining the availability of integration between the stock exchanges in developed and developing markets has grown. The importance of this topic stems from the significant implications of the linkage between exchange markets on various decisions taken by interested parties, such as policymakers and investors, in the decisions for portfolio diversification. This study examines the relationship between a developing stock exchange index, Amman Stock Exchange Index, and (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  8. The Analysis of Fractional-Order Proportional Delay Physical Models Via a Novel Transform.Meshari Alesemi, Naveed Iqbal & Ahmed A. Hamoud - 2022 - Complexity 2022:1-13.
    In this paper, we deal with an alternative analytical analysis of fractional-order partial differential equations with proportional delay, achieved by applying Yang decomposition method, where the fractional derivative is taken in Caputo sense. The suggested series results are discovered to quickly converge to an exact solution. The computation of three test problems of fractional-order with proportional delay partial differential equations was presented to confirm the validity and efficiency of suggested method. The system appears to be a very dependable, effective, and (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  9. A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map.Adel R. Alharbi, Jawad Ahmad, Arshad, Sajjad Shaukat Jamal, Fawad Masood, Yazeed Yasin Ghadi, Nikolaos Pitropakis & William J. Buchanan - 2022 - Complexity 2022:1-15.
    With the increasing volume of data transmission through insecure communication channels, big data security has become one of the important concerns in the cybersecurity domain. To address these concerns and keep data safe, a robust privacy-preserving cryptosystem is necessary. Such a solution relies on chaos encryption algorithms over standard cryptographic methods that possess multistage encryption levels, including high speed, high security, low compute overheads, and procedural power, among other characteristics. In this work, a secure image encryption scheme is proposed using (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  10. Fixed Point Results of Dynamic Process D ˇ ϒ, Μ 0 Through F I C -Contractions with Applications.Amjad Ali, Eskandar Ameer, Muhammad Arshad, Hüseyin Işık & Mustafa Mudhesh - 2022 - Complexity 2022:1-8.
    This article constitutes the new fixed point results of dynamic process D through FIC-integral contractions of the Ciric kind and investigates the said contraction to iterate a fixed point of set-valued mappings in the module of metric space. To do so, we use the dynamic process instead of the conventional Picard sequence. The main results are examined by tangible nontrivial examples which display the motivation for such investigation. The work is completed by giving an application to Liouville‐Caputo fractional differential equations.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  11. Generalized Exponential Fuzzy Entropy Approach for Automatic Segmentation of Chest CT with COVID-19 Infection.Saud S. Alotaibi & Ahmed Elaraby - 2022 - Complexity 2022:1-13.
    The proposed work describes an approach for the segmentation of abnormal lung CT scans of COVID-19. Lung diseases are the leading killer in both men and women. The pulmonary experts normally make attempts, such as early detection of patients by tomography tests before lung specialists treat patients who are tortured by lung disease. Moreover, lung specialists do their best to detect the presence of lung conditions. X rays or CT scan checks are performed for tomography tests. The finest approach for (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  12. Corrigendum to “Introducing a Chaotic Component in the Control System of Soil Respiration”.Peng An, Wen-Feng Wang, Xi Chen, Jing Qian & Yunzhu Pan - 2022 - Complexity 2022:1-2.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  13. On Robust Stability for Hurwitz Polynomials Via Recurrence Relations and Linear Combinations of Orthogonal Polynomials.Alejandro Arceo, Héctor F. Flores, Lino G. Garza, Luis E. Garza & Gerardo Romero - 2022 - Complexity 2022:1-13.
    In this contribution, we use the connection between stable polynomials and orthogonal polynomials on the real line to construct sequences of Hurwitz polynomials that are robustly stable in terms of several uncertain parameters. These sequences are constructed by using properties of orthogonal polynomials, such as the well-known three-term recurrence relation, as well as by considering linear combinations of two orthogonal polynomials with consecutive degree. Some examples are presented.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  14. Multi-Frequency Information Flows Between Global Commodities and Uncertainties: Evidence From COVID-19 Pandemic.Emmanuel Asafo-Adjei, Siaw Frimpong, Peterson Owusu Junior, Anokye Mohammed Adam, Ebenezer Boateng & Robert Ofori Abosompim - 2022 - Complexity 2022:1-32.
    Owing to the adverse impact of the COVID-19 pandemic on world economies, it is expected that information flows between commodities and uncertainties have been transformed. Accordingly, the resulting twisted risk among commodities and related uncertainties is presumed to rise during stressed market conditions. Therefore, investors feel pressured to find safe haven investments during the pandemic. For this reason, we model a mixture of asymmetric and non-linear bi-directional causality between global commodities and uncertainties at different frequencies through the information flow theory. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  15.  1
    A Deep Neural Network Model for the Detection and Classification of Emotions From Textual Content.Muhammad Zubair Asghar, Adidah Lajis, Muhammad Mansoor Alam, Mohd Khairil Rahmat, Haidawati Mohamad Nasir, Hussain Ahmad, Mabrook S. Al-Rakhami, Atif Al-Amri & Fahad R. Albogamy - 2022 - Complexity 2022:1-12.
    Emotion-based sentimental analysis has recently received a lot of interest, with an emphasis on automated identification of user behavior, such as emotional expressions, based on online social media texts. However, the majority of the prior attempts are based on traditional procedures that are insufficient to provide promising outcomes. In this study, we categorize emotional sentiments by recognizing them in the text. For that purpose, we present a deep learning model, bidirectional long-term short-term memory, for emotion recognition that takes into account (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  16. On the Dynamics of Cournot Duopoly Game with Governmental Taxes.S. S. Askar - 2022 - Complexity 2022:1-11.
    A quadratic utility function is introduced in this paper to study the dynamic characteristics of Cournot duopoly game. Based on the bounded rationality mechanism, a discrete dynamical map that describes the game’s dynamic is obtained. The map possesses only one equilibrium point which is Nash point. The stability conditions for this point are analyzed. These conditions show that the point becomes unstable due to two bifurcation types that are flip and Neimark–Sacker. The synchronization property for that map is studied. Through (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  17.  1
    Prediction of Banks Efficiency Using Feature Selection Method: Comparison Between Selected Machine Learning Models.Hamzeh F. Assous - 2022 - Complexity 2022:1-15.
    This study aims to examine the main determinants of efficiency of both conventional and Islamic Saudi banks and then choose the best fit model among machine learning prediction models, Chi-squared automatic interaction detector, linear regression, and neural network ). The data were collected from the annual financial reports of Saudi banks from 2014 to 2018. The Saudi banking sector consists of 11 banks, 4 of which are Islamic. In this study, the major financial ratios are subgrouped into the profitability ratios, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  18. A Decision-Making Framework Using Q-Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information for the Drug Selection to Treat COVID-19. Attaullah, Shahzaib Ashraf, Noor Rehman, Hussain AlSalman & Abdu H. Gumaei - 2022 - Complexity 2022:1-37.
    In our current era, a new rapidly spreading pandemic disease called coronavirus disease, caused by a virus identified as a novel coronavirus, is becoming a crucial threat for the whole world. Currently, the number of patients infected by the virus is expanding exponentially, but there is no commercially available COVID-19 medication for this pandemic. However, numerous antiviral drugs are utilized for the treatment of the COVID-19 disease. Identification of the appropriate antivirus medicine to treat the infection of COVID-19 is still (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  19. Some Existence Results for a System of Nonlinear Sequential Fractional Differential Equations with Coupled Nonseparated Boundary Conditions.Muath Awadalla - 2022 - Complexity 2022:1-17.
    This article concerns with the existence and uniqueness theory of solutions for sequential fractional differential system involving Caputo fractional derivatives of order 1
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  20. Connectedness Between Gold and Cryptocurrencies in COVID-19 Pandemic: A Frequency-Dependent Asymmetric and Causality Analysis.Zynobia Barson, Peterson Owusu Junior, Anokye M. Adam & Emmanuel Asafo-Adjei - 2022 - Complexity 2022:1-17.
    We employ a frequency-dependent asymmetric and causality analysis to investigate the connectedness between gold and cryptocurrencies during the COVID-19 pandemic. Hence, the variational mode decomposition-based quantile regression is utilised. Findings from the study divulge that the variational mode functions at the lower quantiles are mostly significant and negative indicating that gold acts as a safe haven, a diversifier at most market conditions with insignificant coefficients, and a hedge at normal market conditions for most cryptocurrencies at various investment horizons. Particularly, hedging (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  21. Finite Difference Computation of Au-Cu/Magneto-Bio-Hybrid Nanofluid Flow in an Inclined Uneven Stenosis Artery.H. Thameem Basha, Karthikeyan Rajagopal, N. Ameer Ahammad, S. Sathish & Sreedhara Rao Gunakala - 2022 - Complexity 2022:1-18.
    The present study addresses the fluid transport behaviour of the flow of gold -copper /biomagnetic blood hybrid nanofluid in an inclined irregular stenosis artery as a consequence of varying viscosity and Lorentz force. The nonlinear flow equations are transformed into dimensionless form by using nonsimilar variables. The finite-difference technique is involved in computing the nonlinear transport dimensionless equations. The significant parameters like angle parameter, the Hartmann number, changing viscosity, constant heat source, the Reynolds number, and nanoparticle volume fraction on the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  22. Stability Analysis for Differential Equations of the General Conformable Type.Abdellatif Ben Makhlouf, El-Sayed El-Hady, Salah Boulaaras & Mohamed Ali Hammami - 2022 - Complexity 2022:1-6.
    Fractional calculus is nowadays an efficient tool in modelling many interesting nonlinear phenomena. This study investigates, in a novel way, the Ulam–Hyers and Ulam–Hyers–Rassias stability of differential equations with general conformable derivative. In our analysis, we employ some version of Banach fixed-point theory. In this way, we generalize several earlier interesting results. Two examples are given at the end to illustrate our results.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  23. Corrigendum to “The Influence of Confidence and Social Networks on an Agent-Based Model of Stock Exchange”.Mario A. Bertella, Jonathas N. Silva, André L. Correa & Didier Sornette - 2022 - Complexity 2022:1-1.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  24. Flights-to-and-From-Quality with Islamic and Conventional Bonds in the COVID-19 Pandemic Era: ICEEMDAN-Based Transfer Entropy.Ahmed Bossman, Samuel Kwaku Agyei, Peterson Owusu Junior, Ellen Animah Agyei, Patrick Kwashie Akorsu, Edward Marfo-Yiadom & George Amfo-Antiri - 2022 - Complexity 2022:1-25.
    We revisit the flight-to-quality and flight-from-quality occurrences vis-à-vis the stock-bond nexus across differing investment time scales in the COVID-19 era, using a novel technique hinged on a denoised frequency-domain transfer entropy. Our findings divulge that flights, both FTQ and FFQ, could be attained during stress periods. Generally, in the intermediate term of the COVID-19 pandemic, both Islamic and conventional bonds could act as safe havens, diversifiers, and hedges for international equities, and the same could be observed for international equities. We (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  25.  1
    Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning.Nihad Brahimi, Huaping Zhang, Lin Dai & Jianzi Zhang - 2022 - Complexity 2022:1-20.
    The car-sharing system is a popular rental model for cars in shared use. It has become particularly attractive due to its flexibility; that is, the car can be rented and returned anywhere within one of the authorized parking slots. The main objective of this research work is to predict the car usage in parking stations and to investigate the factors that help to improve the prediction. Thus, new strategies can be designed to make more cars on the road and fewer (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  26. Digital Outburst: The Expression of a Social Crisis Through Online Social Networks.Juan Pablo Cárdenas, Carolina Urbina, Gerardo Vidal, Gastón Olivares & Miguel Fuentes - 2022 - Complexity 2022:1-15.
    There is a growing concern about the effects that the relationship between the activity of society in the physical world and in the digital world could have. In this study, we address this question in a context of social crisis. Our quantitative and qualitative analysis of the data associated with the critical process suggests a deep and nontrivial relationship between both worlds. Perhaps the most important result refers to the leading role of language, its meaning, and symbolism in the development (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  27. Econometric Modeling to Measure the Efficiency of Sharpe’s Ratio with Strong Autocorrelation Portfolios.Karime Chahuán-Jiménez, Rolando Rubilar-Torrealba & Hanns de la Fuente-Mella - 2022 - Complexity 2022:1-10.
    Sharpe’s ratio is the most widely used index for establishing an order of priority for the portfolios to which the investor has access, and the purpose of this investigation is to verify that Sharpe’s ratio allows decisions to be made in investment portfolios considering different financial market conditions. The research is carried out by autoregressive model of the financial series of returns using Sharpe’s ratio for evaluations looking over the priority of financial assets which the investor can access while observing (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  28. Admissibility Analysis of a Sampled-Data Singular System Based on the Input Delay Approach.Guoquan Chen, Minjie Zheng, Shenhua Yang & Lina Li - 2022 - Complexity 2022:1-12.
    This study investigates the sampled-data admissibility problem for a singular system. The objective of this paper is to design a sampled-data controller to ensure the admissibility of a singular system and to construct an appropriate Lyapunov–Krasovskii functional to get less conservative results for the sampled-data singular system. To accomplish these objectives, the system is converted into a time-delay system by the input delay approach firstly, and both lower and upper bounds of the delay are considered. Secondly, by introducing a suitable (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  29. Cryptocurrency Financial Risk Analysis Based on Deep Machine Learning.Si Chen - 2022 - Complexity 2022:1-8.
    Digital currency is considered a form of currency which is used in the digital world such as digital forms or electronic devices. Several terms are synonyms for digital currency like digital money, electronic money, and cyber cash. Accurate prediction of the digital currency is an urgent necessity due to its impacts on the economic community. The electronic economy is very dangerous and must be approached with great caution, so as to avoid or minimize the risks that occur in such cases. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  30. Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance.Wen-He Chen, Long-Sheng Cheng, Zhi-Peng Chang, Han-Ting Zhou, Qi-Feng Yao, Zhai-Ming Peng, Li-Qun Fu & Zong-Xiang Chen - 2022 - Complexity 2022:1-22.
    Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  31.  1
    Intelligent Supply Chain Management Modules Enabling Advanced Manufacturing for the Electric-Mechanical Equipment Industry.Chun-Hua Chien, Po-Yen Chen, Amy J. C. Trappey & Charles V. Trappey - 2022 - Complexity 2022:1-20.
    Electric-mechanical equipment manufacturing industries focus on the implementation of intelligent manufacturing systems in order to enhance customer services for highly customized machines with high-profit margins such as electric power transformers. Intelligent manufacturing consists in using supply chain data that are integrated for smart decision making during the production life cycle. This research, in cooperation with a large electric power transformer manufacturer, provides an overview of critical intelligent manufacturing technologies. An ontology schema forms the terminology relationships needed to build two intelligent (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  32. Discovering Organizational Hierarchy Through a Corporate Ranking Algorithm: The Enron Case.Germán G. Creamer, Salvatore J. Stolfo, Mateo Creamer, Shlomo Hershkop & Ryan Rowe - 2022 - Complexity 2022:1-18.
    This paper proposes the CorpRank algorithm to extract social hierarchies from electronic communication data. The algorithm computes a ranking score for each user as a weighted combination of the number of emails, the number of responses, average response time, clique scores, and several degree and centrality measures. The algorithm uses principal component analysis to calculate the weights of the features. This score ranks users according to their importance, and its output is used to reconstruct an organization chart. We illustrate the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  33. Workforce Participation, Ageing, and Economic Welfare: New Empirical Evidence on Complex Patterns Across the European Union.Mirela S. Cristea, Marilen G. Pirtea, Marta C. Suciu & Gratiela G. Noja - 2022 - Complexity 2022:1-13.
    The ageing population has become one of the major issues, with manifold consequences upon the economic welfare and elderly living standards satisfaction. This paper grasps an in-depth assessment framework of the ageing phenomenon in connection with the labor market, with significant implications upon economic welfare, across the European Union. We configure our research on four distinctive groups of the EU–27 countries based on the Active Ageing Index mapping, during 1995–2018, by acknowledging the different intensities of ageing implications on economic well-being (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  34. Information Propagation Influenced by Population Heterogeneity Behavioral Adoption on Weighted Network.Yajuan Cui, Yang Tian, Hui Tian, Gaofeng Nie & Shaoshuai Fan - 2022 - Complexity 2022:1-11.
    In the realistic world, various individuals have distinct personalities, preferences, and attitudes toward new information and behavior acceptance, called population heterogeneity. It is seldom taken into account and theoretically analyzed in information propagation on a weighted network. Therefore, we divide individuals into fashionable and conservative individuals according to their passion degree and willingness for novel behaviors acceptance. Then, we build two behavior adoption threshold models corresponding to fashionable and conservative individuals on the weighted network to explore the effect of population (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  35.  1
    A Weighted Statistical Network Modeling Approach to Product Competition Analysis.Yaxin Cui, Faez Ahmed, Zhenghui Sha, Lijun Wang, Yan Fu, Noshir Contractor & Wei Chen - 2022 - Complexity 2022:1-16.
    Statistical network models have been used to study the competition among different products and how product attributes influence customer decisions. However, in existing research using network-based approaches, product competition has been viewed as binary, while in reality, the competition strength may vary among products. In this paper, we model the strength of the product competition by employing a statistical network model, with an emphasis on how product attributes affect which products are considered together and which products are ultimately purchased by (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  36. The Impact of Urban-Rural Income Inequality on Environmental Quality in China.Fan de XiaoYu & Hong Yang - 2022 - Complexity 2022:1-14.
    As the per capita income level increases, both environmental quality and income inequality will change significantly, which arouses people’s attention on the relationship between income inequality and environmental quality. Based on mathematical derivations, we first prove that when the relationship between per capita income and environmental pollution is nonlinear, and environmental pollution is not only related to per capita income, but also, among other potential determinants, to income inequality. Then, we use the two-way fixed estimator to estimate the impact of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  37. The Impact of COVID-19 Crisis on Stock Markets’ Statistical Complexity.Bogdan Dima, Stefana Maria Dima & Roxana Ioan - 2022 - Complexity 2022:1-15.
    The spread of the COVID-19 pandemic has severely impacted all aspects of social and economic life, including the evolution of stock markets. Thus, we advance a methodological framework suitable for assessing 2020 year-long shifts in markets’ statistical complexity, and we apply such framework to ten major international developed or emerging stock markets. Our research reveals that this crisis had considerably altered markets’ evolutionary patterns. The network description of markets’ multivocal transmission of complex responses changed in 2020, European and Asian markets (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  38. Allocating Defense and Recovery Resources for Spatial Networks Against Cascading Failures.Zhengcheng Dong & Meng Tian - 2022 - Complexity 2022:1-13.
    This paper proposes the models of allocating defense and recovery resources for spatially embedded networks, respectively, both of which consider the length of links as the allocation cost. In the defense model, the amount of defense resources required for each zone depends on the total length of the links they contain. It is found that dispersed allocation performs better and that parameters that allow for a uniform distribution of link lengths produce better results. In the recovery model, a shortest link (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  39. Independent Innovation Incentive Mechanism of the National Independent Innovation Demonstration Zone of China Based on Evolutionary Game.Peijie Du, Kang Tian & Yanrong Wang - 2022 - Complexity 2022:1-18.
    Considering the reward and punishment mechanism of the management committee and the complexity of innovation path selection of high-tech and general enterprises, this paper constructs an evolutionary game model of independent innovation incentive mechanism in the National Independent Innovation Demonstration Zone of China. Meanwhile, the equilibrium points of the strategy selection are solved for the three. In addition, this paper adopts numerical simulation to analyze the influence of each decision variable on different players’ strategic selections. The results show that the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  40.  1
    Ecological Security Evaluation for Marine Ranching Based on the PLTS/ANP Method: A Case Study of Rongcheng.Yuan-Wei Du & Qiong Song - 2022 - Complexity 2022:1-16.
    The evaluation index system of ecological security of marine ranching is based on the assumption that there is independence among evaluation indexes in the existing studies, which ignores the complex interactive paths of marine ranching as an artificial ecosystem. In this study, the MRES evaluation network model that includes interdependent relationships is established based on the Driver-Pressure-State-Impact-Response model and the analytic network process method. Then, the probabilistic linguistic term sets and analytic network process methods are used to calculate the weights (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  41. Multiscale Tail Risk Connectedness of Global Stock Markets: A LASSO-Based Network Topology Approach.Yuting Du, Xu Zhang, Zhijing Ding & Xian Yang - 2022 - Complexity 2022:1-17.
    Due to the advent of deglobalization and regional integration, this article aims to adopt LASSO-based network connectedness to estimate the multiscale tail risk spillover effects of global stock markets. The results show that tail risk varies across frequencies and shocks. In static analysis, the risk is centered mostly on the developed European and North American markets at a low frequency, and regionalization is imposed on the moderate frequency. Moreover, emerging markets could be sources of risk spillover, especially at the highest (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  42. Comparative Analysis of TOPSIS and TODIM for the Performance Evaluation of Foreign Players in Indian Premier League.Vaishnudebi Dutta, Subhomoy Haldar, Prabjot Kaur & Yuvraj Gajpal - 2022 - Complexity 2022:1-20.
    Sports officials, players, and fans are concerned about overseas player rankings for the IPL auction. These rankings are becoming progressively essential to investors when premium leagues are commercialized. The decision-makers of the Indian Premier League choose cricketers based on their own experience in sports and based on performance statistics on several criteria. This paper presents a scientific way to rank the players. Our research examines and contrasts different multicriteria decision-making algorithms for ranking foreign players under various criteria to assess their (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  43. Asymptotic Prediction for Future Observations of a Random Sample of Unknown Continuous Distribution.Magdy E. El-Adll, H. M. Barakat & Amany E. Aly - 2022 - Complexity 2022:1-15.
    When the first r lower extreme order statistics of a sample of large size n, 1 < r < s < n, are observed, asymptotic predictive intervals of the future extreme order statistic with a rank s are constructed. The only assumption that we adopt is that the first failure time is attracted to the Weibull distribution. In addition, we suggest an efficient point estimator of its shape parameter and then a confidence interval is constructed for it. Moreover, new interesting (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  44. Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection.Sajad Einy, Hasan Saygin, Hemrah Hivehch & Yahya Dorostkar Navaei - 2022 - Complexity 2022:1-11.
    A brain tumor is an abnormal mass or growth of a cell that leads to certain death, and this is still a challenging task in clinical practice. Early and correct diagnosis of this type of cancer is very important for the treatment process. For this reason, this study aimed to develop computer-aided systems for the diagnosis of brain tumors. In this research, we proposed three different end-to-end deep learning approaches for analyzing effects of local and deep features for brain MRI (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  45. Forecasting Methods in Various Applications Using Algorithm of Estimation Regression Models and Converting Data Sets Into Markov Model.Mohammed M. El Genidy & Mokhtar S. Beheary - 2022 - Complexity 2022:1-20.
    Water quality control helps in the estimation of water bodies and detects the span of pollutants and their effect on the neighboring environment. This is why the water quality of the northern part of Lake Manzala has been studied here from January to March, 2016. This study aims to model and create a program for linear and nonlinear regression of the water elements in Lake Manzala to assess and predict the water quality. Water samples have been extracted from various depths, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  46. The Power of Delay on a Stochastic Epidemic Model in a Switching Environment.Amine El Koufi - 2022 - Complexity 2022:1-9.
    In recent years, the world knew many challenges concerning the propagation of infectious diseases such as avian influenza, Ebola, SARS-CoV-2, etc. These epidemics caused a change in the healthy balance of humanity. Also, the epidemics disrupt the economies and social activities of countries around the world. Mathematical modeling is a vital means to represent and control the propagation of infectious diseases. In this paper, we consider a stochastic epidemic model with a Markov process and delay, which generalizes many models existing (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  47. Chaotic Fruit Fly Algorithm for Solving Engineering Design Problems.M. A. El-Shorbagy - 2022 - Complexity 2022:1-19.
    The aim of this article is to present a chaotic fruit fly algorithm as an optimization approach for solving engineering design problems. In CFFA, the fruit fly algorithm, which is recognized for its durability and efficiency in addressing optimization problems, was paired with the chaotic local search method, which allows for local exploitation. CFFA will be set up to work in two phases: in the first, FFA will be used to discover an approximate solution, and in the second, chaotic local (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  48. Segmentation of Activated Sludge Flocs in Microscopic Images for Monitoring Wastewater Treatment.Ahmed Elaraby, Walid Hamdy, Humaira Nisar & Monagi H. Alkinani - 2022 - Complexity 2022:1-10.
    The proposed work describes an approach for segmentation of activated sludge flocs from the microscopic images for monitoring wastewater treatment. The morphological features of flocs and filaments are related to the state of an activated sludge wastewater treatment plant and must be monitored for proper functioning. Hence, image processing and analysis could be a time-saving monitoring tool. To address this challenge, we propose a novel framework involving a multiphase edge detection algorithm based on information theory. The proposed framework is evaluated (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  49. On Statistical Properties of a New Bivariate Modified Lindley Distribution with an Application to Financial Data.Ahmed Elhassanein - 2022 - Complexity 2022:1-19.
    There is an increasing interest in expanding the one-parameter Lindley distribution to two-parameter, three-parameter, and five-parameter. The univariate one-parameter Lindley distribution is still one of the most applicable distributions in data analysis especially in lifetime data. Modeling dependent random quantities required bivariate parametric probability distributions. This study presents a new bivariate three-parameter probability distribution called bivariate modified Lindley distribution. The one-parameter modified Lindley distribution is used as a base line to construct the new model. Its statistical properties including cumulative function, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  50.  1
    Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate.Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, Zainab Hasan Ali, Tan Huy Tran, Rania M. Ghoniem & Ahmed A. Ewees - 2022 - Complexity 2022:1-22.
    The application of recycled aggregate as a sustainable material in construction projects is considered a promising approach to decrease the carbon footprint of concrete structures. Prediction of compressive strength of environmentally friendly concrete containing recycled aggregate is important for understanding sustainable structures’ concrete behaviour. In this research, the capability of the deep learning neural network approach is examined on the simulation of CS of EF concrete. The developed approach is compared to the well-known artificial intelligence approaches named multivariate adaptive regression (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  51. River Segmentation of Remote Sensing Images Based on Composite Attention Network.Zhiyong Fan, Jianmin Hou, Qiang Zang, Yunjie Chen & Fei Yan - 2022 - Complexity 2022:1-13.
    River segmentation of remote sensing images is of important research significance and application value for environmental monitoring, disaster warning, and agricultural planning in an area. In this study, we propose a river segmentation model in remote sensing images based on composite attention network to solve the problems of abundant river details in images and the interference of non-river information including bridges, shadows, and roads. To improve the segmentation efficiency, a composite attention mechanism is firstly introduced in the central region of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  52. Modelling and Analysis of Virotherapy of Cancer Using an Efficient Hybrid Soft Computing Procedure.M. Fawad Khan, Ebenezer Bonyah, Fahad Sameer Alshammari, Syed Muhammad Ghufran & Muhammad Sulaiman - 2022 - Complexity 2022:1-29.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  53.  1
    Pricing and Coordination of Remanufacturing Supply Chain with Government Participation Considering Consumers’ Preferences and Quality of Recycled Products.Yanhua Feng, Xuhui Xia, Xinyi Yin, Lei Wang & Zelin Zhang - 2022 - Complexity 2022:1-25.
    Remanufacturing has become an important way to realize sustainable development strategy. For remanufacturing closed-loop supply chain under different circumstances, many factors are considered, such as consumers’ different preferences for the purchase and payment of remanufactured products and the quality of recycled products. In this study, three models are presented for supply chain system, including a manufacturer lead and a retailer recycle. While nongovernment participation and non-supply-chain coordination are considered in model I, model II has government participation but non-supply-chain coordination, and (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  54. Influential Nodes in the OBOR Fossil Energy Trade Network Based on D-S Theory: Detection and Evolution Analysis.Cuixia Gao, Simin Tao, Kehu Li & Yuyang He - 2022 - Complexity 2022:1-16.
    The structure formed by fossil energy trade among countries can be divided into multiple subcommodity networks. However, the difference of coupling mode and transmission mechanism between layers of the multirelationship network will affect the measurement of node importance. In this paper, a framework of multisource information fusion by considering data uncertainty and the classical network centrality measures is build. Then, the evidential centrality indicator is proposed, by integrating Dempster–Shafer evidence theory and network theory, to empirically identify influential nodes of fossil (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  55.  3
    Multifactor Stock Selection Strategy Based on Machine Learning: Evidence From China.Jieying Gao, Huan Guo & Xin Xu - 2022 - Complexity 2022:1-17.
    Machine learning methods have been used in multifactor stock strategy for years. This paper uses three machine learning methods and linear regression method to find the most appropriate approach. First, a framework is established and 10 style factors and 30 industry factors are chosen. Second, four methods are used to forecast portfolio returns and compared by predicting returns, successful rate, and Sharpe ratio. Finally, this paper draws conclusion. The main findings are as follows: the support vector regression has the most (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  56. An Improved Image Processing Based on Deep Learning Backpropagation Technique.Yang Gao & Yue Tian - 2022 - Complexity 2022:1-10.
    In terms of image processing, encryption plays the main role in the field of image transmission. Using one algorithm of deep learning, such as neural network backpropagation, increases the performance of encryption by learning the parameters and weights derived from the image itself. The use of more than one layer in the neural network improves the performance of the algorithm. Also, in the process of image encryption, randomness is an important component, especially when used by smart learning methods. Deep neural (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  57. A New Fractional-Order Map with Infinite Number of Equilibria and Its Encryption Application.Ahlem Gasri, Amina-Aicha Khennaoui, Adel Ouannas, Giuseppe Grassi, Apostolos Iatropoulos, Lazaros Moysis & Christos Volos - 2022 - Complexity 2022:1-18.
    The study of the chaotic dynamics in fractional-order discrete-time systems has received great attention over the last years. Some efforts have been also devoted to analyze fractional maps with special features. This paper makes a contribution to the topic by introducing a new fractional map that is characterized by both particular dynamic behaviors and specific properties related to the system equilibria. In particular, the conceived one dimensional map is algebraically simpler than all the proposed fractional maps in the literature. Using (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  58. New Approach in Fixed Resource Allocation and Target Setting Using Data Envelopment Analysis with Common Set of Weights.Marzieh Ghasemi, Mohammad Reza Mozaffari, Farhad Hosseinzadeh Lotfi, Mohsen Rostamy Malkhalifeh & Mohammad Hasan Behzadi - 2022 - Complexity 2022:1-11.
    One of the mathematical programming techniques is data envelopment analysis, which is used for evaluating the efficiency of a set of similar decision-making units. Fixed resource allocation and target setting with the help of DEA is a subject that has gained much attention from researchers. A new model was proposed by determining a common set of weights. All DMUs were involved with the aim of achieving higher efficiency in every DMU after the procedure. The minimum resources and targets allocated to (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  59. Application of Transcendental Bernstein Polynomials for Solving Two-Dimensional Fractional Optimal Control Problems.Fateme Ghomanjani, Samad Noeiaghdam & Sanda Micula - 2022 - Complexity 2022:1-10.
    The aim of this study is to introduce a novel method to solve a class of two-dimensional fractional optimal control problems. Since there are some difficulties solving these problems using analytical methods, thus finding numerical methods to approximate their solution is a challenging topic. In this study, we use transcendental Bernstein series. In fact, for solving the problem, we generalize the Bernstein polynomials to a larger class of functions which can provide more accurate approximate solutions. The convergence theorem is proved. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  60. Long Memory and Fractality in the Universe of Volatility Indices.Bikramaditya Ghosh & Elie Bouri - 2022 - Complexity 2022:1-8.
    Unlike previous studies that consider the Chicago Board of Options Exchange implied volatility index, we examine long memory and fractality in the universe of nine CBOE volatility indices. Using daily data from October 5, 2007, to October 5, 2020, covering calm and crisis periods, we find evidence of long memory and fractality in all indices and a change in the degree of volatility persistence, which points to inefficiency. The long memory of the SKEW index is strong before the onset of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  61. The Catastrophe Analysis of Shanghai Crude Oil Futures Price From the Perspective of Volatility Factors.Weifeng Gong, Yahui Li, Chuanhui Wang, Haixia Zhang & Zhengjie Zhai - 2022 - Complexity 2022:1-12.
    The volatility of Shanghai crude oil futures prices is researched in this paper. The cusp catastrophe analysis of Shanghai crude oil futures price is based on the perspective of volatility influencing factors. Some important factors are selected based on commodity attributes and financial attributes, including certain China’s macrofactors, such as producer price index and macroeconomic prosperity index. The principal component analysis is used to process the factors. The control variables of the cusp catastrophe model are extracted. The discriminant of the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  62. Priority Roles of Stakeholders for Overcoming the Barriers to Implementing Education 4.0: An Integrated Fermatean Fuzzy Entropy-Based CRITIC-CODAS-SORT Approach. [REVIEW]Roselyn Gonzales, Rose Mary Almacen, Gamaliel Gonzales, Felix Costan, Decem Suladay, Lynne Enriquez, Emily Costan, Nadine May Atibing, Joerabell Lourdes Aro, Samantha Shane Evangelista, Fatima Maturan, Egberto Selerio & Lanndon Ocampo - 2022 - Complexity 2022:1-23.
    This work defines various stakeholder roles to overcome the barriers to implementing Education 4.0, which were recently identified in the domain literature. The stakeholder roles are evaluated against these barriers, and such evaluation is structured as a multicriteria sorting problem. To this end, an integrated entropy-based CRITIC-CODAS-SORT under a Fermatean fuzzy environment addresses epistemic uncertainties inherent in decision-making. The FF CRITIC assigns the priority weights of the barriers, while the FF CODAS-SORT determines the high-priority stakeholder roles. A case of an (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  63. Dynamics of Multimodal Families of M-Modal Maps.S. González-Salas, B. B. Cassal-Quiroga, J. Tuxpan & E. Campos - 2022 - Complexity 2022:1-13.
    In this work, we introduce families of multimodal maps based on logistic map, i.e., families of m-modal maps are defined on an interval I ⊂ ℝ, which is partitioned into non-uniform subdomains, with m ∈ ℕ. Because the subdomains of the partition are not uniform, each subdomain contains a unimodal map, given by the logistic map, that can have different heights. Therefore, we give the necessary and sufficient conditions for these modal maps present a multimodal family of m-modal maps, i.e., (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  64. Computing Some Degree-Based Topological Indices of Honeycomb Networks.Lili Gu, Shamaila Yousaf, Akhlaq Ahmad Bhatti, Peng Xu & Adnan Aslam - 2022 - Complexity 2022:1-13.
    A topological index is a numeric quantity related with the chemical composition claiming to correlate the chemical structure with different chemical properties. Topological indices serve to predict physicochemical properties of chemical substance. Among different topological indices, degree-based topological indices would be helpful in investigating the anti-inflammatory activities of certain chemical networks. In the current study, we determine the neighborhood second Zagreb index and the first extended first-order connectivity index for oxide network O X n, silicate network S L n, chain (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  65. Analysis of the Spatial Characteristics and Influencing Factors of E-Commerce Industrial Chains From the Perspective of Embeddedness: Taking Xiong’an New Area in China as an Example.Yifan Gu & Jianghui Ding - 2022 - Complexity 2022:1-15.
    e-commerce has promoted the application of the Internet by traditional enterprises. While this phenomenon has deepened industrial embeddedness, it has also profoundly affected the development of traditional manufacturing and retail industries. Based on the embeddedness theory, this paper takes the e-commerce industrial chain in Xiong’an New Area of China as an example, uses location entropy method and local spatial autocorrelation to analyze its spatial characteristics and influencing factors, and also discusses the features of embeddedness from each dimension of industrial chains. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  66.  1
    Research on Urban Expansion and Population Density Change of an Urban Agglomeration in the Central-Southern Region of Liaoning Province, China.Min Guo & Shijun Wang - 2022 - Complexity 2022:1-13.
    The relationship between urban expansion and population density changes is complex and plays a fundamental role in urban sustainable development research. This relationship has been studied in multiple large cities. However, there is no report of the relationship of the two factors mentioned above in urban agglomeration in a particular region of China. Ten cities located in the central-southern region of Liaoning province are selected as research samples in this study. The spatial growth rate and urban compactness index of the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  67.  2
    Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter.Na Han, Hebo Huang, Jianjun Wang, Bin Shi & Li Ren - 2022 - Complexity 2022:1-9.
    Social-bots-mediated information manipulation is influencing the public opinion environment, and their role and behavior patterns in news proliferation are worth exploring. Based on the analysis of bots' posting frequency, influence, and retweeting relationship, we take the diffusion of The New York Times' coverage of Xinjiang issue on the overseas social platform Twitter as an example and employ the two-step flow model. It is found that in the role of second-step diffusion, unlike posting news indiscriminately in first-step diffusion, social bots are (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  68.  1
    Employing Machine Learning-Based Predictive Analytical Approaches to Classify Autism Spectrum Disorder Types.Muhammad Kashif Hanif, Naba Ashraf, Muhammad Umer Sarwar, Deleli Mesay Adinew & Reehan Yaqoob - 2022 - Complexity 2022:1-10.
    Autism spectrum disorder is an inherited long-living and neurological disorder that starts in the early age of childhood with complicated causes. Autism spectrum disorder can lead to mental disorders such as anxiety, miscommunication, and limited repetitive interest. If the autism spectrum disorder is detected in the early childhood, it will be very beneficial for children to enhance their mental health level. In this study, different machine and deep learning algorithms were applied to classify the severity of autism spectrum disorder. Moreover, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  69. Dynamics of Positive Frequency Dependent Selection Triggers Selection for Silence.I. Hashem, V. De Buck & J. Van Impe - 2022 - Complexity 2022:1-11.
    Positive frequency dependent selection is a natural selection regime where the fitness of a phenotype increases with its frequency in the population. Examples can be typically found in the spread of disease tolerance strategies in a population. A characterizing feature of PFDS is that the focal allele may experience favorable selection only when it becomes more frequent in the population, while being selected against when it is rare. In this paper, by applying a solution concept from evolutionary game theory, we (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  70. Suppression of Quadruped Robot Body Disturbance by Virtual Spring-Damping Model.JingYe He, JunPeng Shao, BingWei Gao, BingYi Miao & Xuan Shao - 2022 - Complexity 2022:1-12.
    The quadruped robot is subject to self and external interference during the running process. In this paper, in order to improve the stability of the quadruped robot, a disturbance suppression strategy based on the kinematic model and the virtual model is proposed. Through the whole-body kinematics modeling of the body, the cause of the disturbance is analyzed. At the same time, two spring-damping virtual elements are introduced on the body. The virtual force generated by the spring-damping model is according to (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  71. A Chinese Named Entity Recognition Model of Maintenance Records for Power Primary Equipment Based on Progressive Multitype Feature Fusion.Lanfei He, Xuefei Zhang, Zhiwei Li, Peng Xiao, Ziming Wei, Xu Cheng & Shaocheng Qu - 2022 - Complexity 2022:1-11.
    Presently, the State Grid Corporation of China has accumulated a large amount of maintenance records for power primary equipment. Unfortunately, most of these records are unstructured data which lead to difficultly analyze and utilize them. The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. This paper proposes a progressive multitype feature fusion model to recognize Chinese named entity of unstructured maintenance records for power primary equipment. Firstly, the textual characteristics and word (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  72. A Backstepping Controller with the RBF Neural Network for Folding-Boom Aerial Work Platform.Haidong Hu, Yandong Song, Pu Fan, Chen Diao & Ning Cai - 2022 - Complexity 2022:1-9.
    Aerial work platform is a kind of engineering vehicle which is used for hoisting personnel to the appointed place for maintenance or installation. Based on the dynamics model considering the flexible deformation existing in the arm system of folding-boom aerial platform vehicle, this study presents a NN-based backstepping controller used for trajectory tracking control of work platform. The proposed controller can reduce tracking error of work platform and suppress the vibration simultaneously by using the RBF neural network system to compensate (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  73. Technology Topic Identification and Trend Prediction of New Energy Vehicle Using LDA Modeling.Renjie Hu, Wencong Ma, Weiqiang Lin, Xiude Chen, Zuchang Zhong & Chuhong Zeng - 2022 - Complexity 2022:1-20.
    As new energy vehicle is the future of automobile development, it is of great significance to dig deeper into the technical topics and development trends of new energy vehicles for accurately understanding the technical trends of the new energy vehicle industry, grasping development opportunities, and scientifically formulating strategic plans. This paper takes the patent texts in the field of new energy vehicles from 2000 to 2020 in the patent database of CNKI as the data source, identifies 25 technical topics implied (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  74. Differential Evolution Algorithm Combined with Uncertainty Handling Techniques for Stochastic Reentrant Job Shop Scheduling Problem.Rong Hu, Xing Wu, Bin Qian, Jianlin Mao & Huaiping Jin - 2022 - Complexity 2022:1-11.
    This paper considers two kinds of stochastic reentrant job shop scheduling problems, i.e., the SRJSSP with the maximum tardiness criterion and the SRJSSP with the makespan criterion. Owing to the NP-complete complexity of the considered RJSSPs, an effective differential evolutionary algorithm combined with two uncertainty handling techniques, namely, DEA_UHT, is proposed to address these problems. Firstly, to reasonably control the computation cost, the optimal computing budget allocation technique is applied for allocating limited computation budgets to assure reliable evaluation and identification (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  75. Analysis of Topological Aspects for Metal-Insulator Transition Superlattice Network.Rongbing Huang, M. H. Muhammad, M. K. Siddiqui, S. Khalid, S. Manzoor & E. Bashier - 2022 - Complexity 2022:1-11.
    In this research work, we have explored the physical and topological properties of the crystal structure of metal-insulator transition superlattice. In recent times, two-dimensional substantial have enamored comprehensive considerations owing to their novel ophthalmic and mechanical properties for anticipated employment. Recently, some researchers put their interest in modifying this material into useful forms in human life. Also, Metal-Insulator Transition Superlattice is useful in form of a thin film to utilize as two-dimensional transition metal dichalcogenides. Moreover, we have defined the computed-based (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  76. A Hybrid Deep Learning Framework for Network Flow Forecasting of Power Grid Enterprise.Xin Huang, Ting Hu, Pei Pei, Qin Li & Xin Zhang - 2022 - Complexity 2022:1-11.
    With the expansion of the digital business line, the network flow behind the digital power grid is also exploding. To prevent network congestion, this article proposes a novel network flow forecasting model, which is composed of variational mode decomposition, GRU-xgboost block, and a forecasting adjustment block, to grasp the changing patterns and trends of network flow in advance, and to formulate reasonable and effective flow management strategies and meet the requirements of users for network service quality. The network flow series (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  77.  1
    A Unified Power Quality Conditioner for Feeder Reconfiguration and Setting to Minimize the Power Loss and Improve Voltage Profile.Zhigao Huang, Farid Shahbaazy & Afshin Davarpanah - 2022 - Complexity 2022:1-8.
    Using devices such as unified power quality conditioners in distribution networks seems essential for higher electricity quality. Moreover, distribution network reconfiguration is a suitable model for improving network characteristics, including loss reduction and voltage increase for distribution networks, and is widely used in this era. Here, the study discusses the rechanging of distribution networks for UPQC via proposing an appropriate model for it. In addition to the optimum structure of distribution networks, the most appropriate branch where UPQC must be located (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  78. On Topological Indices for Complex Indium Phosphate Network and Their Applications.Wang Hui, Lubna Sherin, Sana Javed, Sadia Khalid, Waqar Asghar & Samuel Asefa Fufa - 2022 - Complexity 2022:1-17.
    A chemical compound in the form of graph terminology is known as a chemical graph. Molecules are usually represented as vertices, while their bonding or interaction is shown by edges in a molecular graph. In this paper, we computed various connectivity indices based on degrees of vertices of a chemical graph of indium phosphide. Afterward, we found the physical measures like entropy and heat of formation of InP. Then, we fitted curves between different indices and the thermodynamical properties, namely, heat (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  79. Decomposition of Fourth-Order Euler-Type Linear Time-Varying Differential System Into Cascaded Two Second-Order Euler Commutative Pairs.Salisu Ibrahim & Abedallah Rababah - 2022 - Complexity 2022:1-9.
    This paper presents decomposition of the fourth-order Euler-type linear time-varying system as a commutative pair of two second-order Euler-type systems. All necessary and sufficient conditions for the decomposition are deployed to investigate the commutativity, sensitivity, and the effect of disturbance on the fourth-order LTVS. Some systems are commutative, and some are not commutative, while some are commutative under certain conditions. Based on this fact, the commutativity of fourth-order Euler-type LTVS is investigated by introducing the commutative requirements, theories, and conditions. The (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  80. Model-Based Design, HIL Testing, and Rapid Control Prototyping of a Low-Cost POC Quadcopter with Stability Analysis and Control.Abdullah Irfan, Muhammad Gufran Khan, Arslan Ahmed Amin, Syed Ali Mohsin, Muhammad Adnan & Adil Zulfiqar - 2022 - Complexity 2022:1-16.
    Unmanned aerial vehicles, particularly quadcopters, have several medical, agriculture, surveillance, and security applications. However, the use of this innovative technology for civilian applications is still very limited in low-income countries due to the high cost, whereas low-cost controllers available in the market are often tuned using the hit and trial approach and are limited for specific applications. This paper addresses this issue and presents a novel proof of concept low-cost quadcopter UAV design approach using a systematic Model-Based Design method for (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  81. A Hidden Chaotic Attractor with an Independent Amplitude-Frequency Controller.Yousuf Islam, Chunbiao Li, Yicheng Jiang, Xu Ma & Akif Akgul - 2022 - Complexity 2022:1-11.
    In this paper, a three-dimensional chaotic system with a line equilibrium is studied, in which a single nonbifurcation parameter is used to control the amplitude and frequency. A variety of chaotic signals can be modified using the amplitude-frequency control switch. The realization of circuit simulation based on multisim further verifies the theoretical analysis. Finally, the method for encrypting color images is tested, and the process performance is valued. It shows that the novel chaotic oscillation has a promising application prospect in (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  82. New Stabilization Properties of Pendulum Models Applying a Large Parameter.A. I. Ismail & Hamza A. Ghulman - 2022 - Complexity 2022:1-12.
    In the present paper, we introduce new models of pendulum motions for two cases: the first model consists of a pendulum with mass M moving at the end of a string with a suspended point moving on an ellipse and the second one consists of a pendulum with mass M moving at the end of a spring with a suspended point on an ellipse. In both models, we use the Lagrangian functions for deriving the equations of motions. The derived equations (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  83. Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation.Yong Dam Jeong, Kwang Su Kim, Yunil Roh, Sooyoun Choi, Shingo Iwami & Il Hyo Jung - 2022 - Complexity 2022:1-11.
    Cancer chemotherapy has been the most common cancer treatment. However, it has side effects that kill both tumor cells and immune cells, which can ravage the patient’s immune system. Chemotherapy should be administered depending on the patient’s immunity as well as the level of cancer cells. Thus, we need to design an efficient treatment protocol. In this work, we study a feedback control problem of tumor-immune system to design an optimal chemotherapy strategy. For this, we first propose a mathematical model (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  84. An Improved Grey Model with Time Power and Its Application.Jianming Jiang, Caixia Liu, Yuanguo Yao, Yumu Lu, Wanli Xie & Chong Liu - 2022 - Complexity 2022:1-10.
    The grey system model with time power, which is often called the GM, appeals considerable interest of research due to its effectiveness in time series forecasting. Aimed to improve further the GM model, this paper introduces a new whitening equation with variable coefficient into the original whitening equation which extends applicable scope; as a result, an improved grey model with time power, namely, OGM, is proposed. Firstly, the time response function of the novel model and the restored values of original (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  85. Optimal Charging Scheduling and Management with Bus-Driver-Trip Assignment Considering Mealtime Windows for an Electric Bus Line.Yang Jiang & Tong He - 2022 - Complexity 2022:1-19.
    Compared to a charging scheduling and management problem characterized by predetermined trip assignment, this study takes bus and driver scheduling into account, and mealtime windows must be guaranteed as one of the major labor regulations. A discretized mixed-integer linear programming model is developed based on a single electric bus route. We aim to obtain fast and high-quality global solutions for this problem, and the model can be easily executed by bus operators by directly invoking an available optimization solver such as (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  86. Analysis of the Epidemic Biological Model of Tuberculosis (TB) Via Numerical Schemes.S. Kanwal, M. K. Siddiqui, E. Bonyah, K. Sarwar, T. S. Shaikh & N. Ahmed - 2022 - Complexity 2022:1-13.
    Tuberculosis is caused by bacillus Mycobacterium tuberculosis. In this study, a mathematical model of tuberculosis is analyzed. The numerical behaviour of the considered model is analyzed including basic reproduction number and stability. We applied three numerical techniques to this model, i.e., nonstandard finite difference scheme, Runge–Kutta method of order 4, and forward Euler scheme. NSFD scheme preserves all the essential properties of the model. Acquired results corroborate that NSFD scheme converges for each step size. While the other two schemes failed (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  87. Ordering Acyclic Connected Structures of Trees Having Greatest Degree-Based Invariants.S. Kanwal, M. K. Siddiqui, E. Bonyah, T. S. Shaikh, I. Irshad & S. Khalid - 2022 - Complexity 2022:1-16.
    Being building block of data sciences, link prediction plays a vital role in revealing the hidden mechanisms that lead the networking dynamics. Since many techniques depending in vertex similarity and edge features were put forward to rule out many well-known link prediction challenges, many problems are still there just because of unique formulation characteristics of sparse networks. In this study, we applied some graph transformations and several inequalities to determine the greatest value of first and second Zagreb invariant, S K (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  88. A Simple Image Encryption Based on Binary Image Affine Transformation and Zigzag Process.Adélaïde Nicole Kengnou Telem, Cyrille Feudjio, Balamurali Ramakrishnan, Hilaire Bertrand Fotsin & Karthikeyan Rajagopal - 2022 - Complexity 2022:1-22.
    In this paper, we propose a new and simple method for image encryption. It uses an external secret key of 128 bits long and an internal secret key. The novelties of the proposed encryption process are the methods used to extract an internal key to apply the zigzag process, affine transformation, and substitution-diffusion process. Initially, an original gray-scale image is converted into binary images. An internal secret key is extracted from binary images. The two keys are combined to compute the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  89. Predicting Young Imposter Syndrome Using Ensemble Learning.Md Nafiul Alam Khan, M. Saef Ullah Miah, Md Shahjalal, Talha Bin Sarwar & Md Shahariar Rokon - 2022 - Complexity 2022:1-10.
    Background. Imposter syndrome, associated with self-doubt and fear despite clear accomplishments and competencies, is frequently detected in medical students and has a negative impact on their well-being. This study aimed to predict the students’ IS using the machine learning ensemble approach. Methods. This study was a cross-sectional design among medical students in Bangladesh. Data were collected from February to July 2020 through snowball sampling technique across medical colleges in Bangladesh. In this study, we employed three different machine learning techniques such (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  90. Caricature Face Photo Facial Attribute Similarity Generator.Muhammad Irfan Khan, Muhammad Kashif Hanif & Ramzan Talib - 2022 - Complexity 2022:1-14.
    Caricatures can help to understand the perception of a face. The prominent facial feature of a subject can be exaggerated, so the subject can be easily identified by humans. Recently, significant progress has been made to face detection and recognition from images. However, the matching of caricature with photographs is a difficult task. This is due to exaggerated features, representation of modalities, and different styles adopted by artists. This study proposed a cross-domain qualitative feature-based approach to match caricature with a (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  91.  1
    Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques.Muzammil Khan, Azmat Ali & Yasser Alharbi - 2022 - Complexity 2022:1-13.
    The crime is difficult to predict; it is random and possibly can occur anywhere at any time, which is a challenging issue for any society. The study proposes a crime prediction model by analyzing and comparing three known prediction classification algorithms: Naive Bayes, Random Forest, and Gradient Boosting Decision Tree. The model analyzes the top ten crimes to make predictions about different categories, which account for 97% of the incidents. These two significant crime classes, that is, violent and nonviolent, are (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  92. Chaotic Behaviors and Coexisting Attractors in a New Nonlinear Dissipative Parametric Chemical Oscillator.Y. J. F. Kpomahou, A. Adomou, J. A. Adéchinan, A. E. Yamadjako & I. V. Madogni - 2022 - Complexity 2022:1-16.
    In this study, complex dynamics of Briggs–Rauscher reaction system is investigated analytically and numerically. First, the Briggs–Rauscher reaction system is reduced into a new nonlinear parametric oscillator. The Melnikov method is used to derive the condition of the appearance of horseshoe chaos in the cases ω = Ω and ω ≠ Ω. The performed numerical simulations confirm the obtained analytical predictions. Second, the prediction of coexisting attractors is investigated by solving numerically the new nonlinear parametric ordinary differential equation via the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  93. Perimeter Degree Technique for the Reduction of Routing Congestion During Placement in Physical Design of VLSI Circuits.Kuruva Lakshmanna, Fahimuddin Shaik, Vinit Kumar Gunjan, Ninni Singh, Gautam Kumar & R. Mahammad Shafi - 2022 - Complexity 2022:1-11.
    When used in conjunction with the current floorplan and the optimization technique in circuit design engineering, this research allows for the evaluation of design parameters that can be used to reduce congestion during integrated circuit fabrication. Testing the multiple alternative consequences of IC design will be extremely beneficial in this situation, as will be demonstrated further below. If the importance of placement and routing congestion concerns is underappreciated, the IC implementation may experience significant nonlinear problems throughout the process as a (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  94. Learning-Based Path Planning Algorithm in Ocean Currents for Multi-Glider.Wei Lan, Xiang Jin, Xin Chang, Tianlin Wang & Han Zhou - 2022 - Complexity 2022:1-17.
    In practical application studies of glider formations, ocean currents are a major influencing factor in their path planning. The purpose of this paper is to solve the path planning problem of glider formations in time-varying ocean currents and establish gliders, glider formation, and ocean current models based on existing data. The Doc-CNN architecture is tailored to conform to the operation and environment characteristics of gliders in practical application. After experiments, the algorithm of the improved architecture can be used in the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  95. The Impacts of Crude Oil Market Structure on Stock Market Growth: Evidence From Asian Countries.Hoang Anh Le & Doan Trang Do - 2022 - Complexity 2022:1-12.
    The purpose of this paper is to investigate the impact of crude oil market structure on stock market volatility in Asian countries in the period 2008–2017. We integrate network analysis with the SGMM estimation technique to achieve the research objective. Network analysis was conducted with 43 Asian countries, while analysis of the impact of crude oil market structure on stock markets was performed with a sample of 19 countries. The results show that the stock market has a positive growth in (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  96. Simulation Testing of Maritime Cyber-Physical Systems: Application of Model-View-ViewModel.Dong-Chul Lee, Kyung-Min Seo, Hee-Mun Park & Byeong Soo Kim - 2022 - Complexity 2022:1-14.
    From the perspective of the system of systems development, system-level functional testing is required for designing subsystems. This study utilizes modeling and simulation techniques to analyze the operational behaviors of the subsystems and confirm data communication between them. The targeted system in the study is a naval combat system, which is a typical type of defense cyber-physical system. Three types of models were designed for the simulation testing of the NCS: a combat-management model for simulating the overall computational activities, physical (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  97. A New Approach to Estimate Concentration Levels with Filtered Neural Nets for Online Learning.Woodo Lee, Junhyoung Oh & Jaekwoun Shim - 2022 - Complexity 2022:1-8.
    The COVID-19 pandemic heavily influenced human life by constricting human social activity. Following the spread of the pandemic, humans did not have a choice but to change their lifestyles. There has been much change in the field of education, which has led to schools hosting online classes as an alternative to face-to-face classes. However, the concentration level is lowered in the online learning class, and the student’s learning rate decreases. We devise a framework for recognizing and estimating students’ concentration levels (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  98. DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning.Hong Lei, Yue Xiao, Yanchun Liang, Dalin Li & Heow Pueh Lee - 2022 - Complexity 2022:1-8.
    Speech recognition technology has played an indispensable role in realizing human-computer intelligent interaction. However, most of the current Chinese speech recognition systems are provided online or offline models with low accuracy and poor performance. To improve the performance of offline Chinese speech recognition, we propose a hybrid acoustic model of deep convolutional neural network, long short-term memory, and deep neural network. This model utilizes DCNN to reduce frequency variation and adds a batch normalization layer after its convolutional layer to ensure (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  99. A Comparison of Metaheuristic Techniques for Solving Optimal Sitting and Sizing Problems of Capacitor Banks to Reduce the Power Loss in Radial Distribution System.Tongfei Lei, Saleem Riaz, Hira Raziq, Munira Batool, Feng Pan & Jianfeng Wang - 2022 - Complexity 2022:1-14.
    The losses in the radial distribution system are inevitable which needs to be minimized for the proper transmission of power to the end customers. This problem can be solved by the allocation of capacitor banks at proper locations with appropriate sizing. These allocations need an efficient approach for the performance enhancement of RDS. In this paper, several metaheuristic techniques such as particle swarm optimization, Harmony search, Bat, Cuckoo, and Grey-wolf algorithms are employed to find the size of capacitor banks. Loss (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  100. Performance Analysis of Grid-Connected Distributed Generation System Integrating a Hybrid Wind-PV Farm Using UPQC.Tongfei Lei, Saleem Riaz, Noor Zanib, Munira Batool, Feng Pan & Shaoguo Zhang - 2022 - Complexity 2022:1-14.
    This work presents a distributed generation system that combines system of a wind turbine and photovoltaic using a unified power quality conditioner. Along with providing active power to the utility grid, Wind-PV-UPQC improves PQ indicators, for example, voltage drops/surges, harmonics of grid voltages, and PF. Since Wind-PV-UPQC depends on dual compensation scheme, the parallel converter works as a sinusoidal voltage source, while the series converter works as a sinusoidal current source. In this way, a smooth transition from grid operation to (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  101. Evolutionary Game Analysis of the Dissemination of False Information by Multiple Parties After Major Emergencies.Bowen Li, Hua Li, Qiubai Sun, Rongjian Lv & Jianbo Zhao - 2022 - Complexity 2022:1-14.
    False information is always produced after the outbreak of major emergencies. Taking this into consideration, this paper discusses the behavior of multiple parties in relation to false information dissemination after major emergencies. First, a game model is constructed, using relevant knowledge of evolutionary game theory, between three parties: regulatory institutions, opinion leaders, and ordinary Internet users. Second, the model equations are solved, and the evolutionary stability strategies of each game party under different circumstances are analyzed. Third, a numerical simulation is (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  102. Complexity Between Aging and the Structure of Financial Market: Empirical Evidence From Microdata.Chao Li, Lin Wang, Rundong Luo, Guangjie Ning, Peiya Zhao & Xiaoning Yu - 2022 - Complexity 2022:1-15.
    By empirically testing the scale and structure hypotheses of aging’s impacts on the financial market using Tobit, FRM, and Heckman selection models, this paper proves that the number and proportion of elderly family members change the structure of families’ financial assets, though without significant effects on their overall size. Specifically, aging increases the share of cash and deposits in families’ total financial assets and decreases both the quantity and percentage of investment in risky assets. One more family member aged sixty (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  103.  1
    Modeling Intercity CO2 Trading Scenarios in China: Complexity of Urban Networks Integrating Different Spatial Scales.Chongming Li, Na Li, Zuo Zhang, Lu Zhang, Zhi Li & Yanzhong Liu - 2022 - Complexity 2022:1-16.
    Today, cities account for the majority of global energy consumption and CO2 emissions. The interaction between cities is critical for regional low-carbon development. At this time, China has turned to the full opening of the carbon trading market as an important policy tool for achieving its ambitious emission reduction goals. This paper attempts to explore the spatial relationships among cities from the perspective of carbon trading. A “multiscenarios across different spatial scales” analysis framework applied to the allocation and trading of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  104. Rationalizing Denominators Using Gröbner Bases.Dongmei Li, Man Wu, Jinwang Liu & Yiman Gao - 2022 - Complexity 2022:1-10.
    The problem of rationalizing denominators for two types of fractions is discussed in the paper. By using the theory and algorithms of Gröbner bases, we first introduce a method to rationalize the denominators of fractions with square root and cube root, and then, for the denominators with higher radical of the general form, the problem of rationalizing denominators is converted into the related problem of finding the minimal polynomials. Some interesting results and an executable algorithm for rationalizing the denominator of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  105. Dynamics of SCIR Modeling for COVID-19 with Immigration.Haiyin Li & Yan Wu - 2022 - Complexity 2022:1-22.
    In this study, for COVID-19, we divide people into four categories: susceptible S t, closely contacted C t, infective I t, and removed R t according to the current epidemic situation and then investigate two models: the SCIR models with immigration and without immigration. For the former, Model 1, we obtain the condition for global stability of its disease-free equilibrium. For the latter, Model 2, we establish the local asymptotic stability of its endemic equilibrium by constructing Lyapunov function. Afterwards, by (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  106. Existence of C 1 -Positive Solutions for a Class of Second-Order Impulsive Differential Equations.Hong Li - 2022 - Complexity 2022:1-8.
    In this study, under some inequality conditions, necessary and sufficient conditions, using fixed-point theorem in cones, are established for the existence of C 1 -positive solutions for a class of second-order impulsive differential equations. Two examples are given in the last section to illustrate the abstract results.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  107. Method for Evaluation and Application of Production Process Chain Complexity in Sewing Workshops Considering Human Factor.Huimin Li, Fansen Kong, Taibo Chen & Liang Kong - 2022 - Complexity 2022:1-16.
    Existing methods for evaluating manufacturing process chain complexity consider the number of machines, state of machines, number of parts, operation time, and processing sequence of parts. However, such evaluation methods ignore human factors. To consider human factors, human cognitive decision-making process factors are considered in the complexity evaluation of production processes. Accordingly, a new objective evaluation method of the human factor complexity is proposed. In the proposed method, sewing operations are taken as an example, and the human factor complexity is (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  108. Evolutionary Game Analysis of E-Commerce Intellectual Property Social Cogovernance with Collective Organizations.Ji Li & Chunming Xu - 2022 - Complexity 2022:1-13.
    China’s E-commerce market is very active. Despite the impact of COVID-19, the market has ushered in major development opportunities. Alongside, the level of intellectual property protection in China is constantly improving. However, there are relatively few studies on intellectual property protection in the field of E-commerce. This study introduces the theory of social cogovernance and explores the construction of China’s E-commerce intellectual property protection system with the participation of collective organizations. Evolutionary game method is applied to model construction. Through numerical (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  109. Optimizing Product Configuration Problems with Multisourcing Supplier Selections Under Both Carbon Cap and Carbon Tax Regulations.Jia Li & Dong Yang - 2022 - Complexity 2022:1-16.
    Product configuration is a key enabling technology for mass customization production. Previous studies mainly focus on the solving technologies for obtaining a feasible configuration or optimal configuration but ignore environmental factors like CO2 emissions, especially the environmental regulations from international organizations. In this article, we address product configuration optimization problems considering both carbon cap and carbon tax regulations. A two-stage approach that combines both Particle Swarm Optimization and a greedy algorithm is presented to solve the product configuration problems with carbon (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  110. Corrigendum to “The Spatial Agglomeration and Industrial Network of Strategic Emerging Industries and Their Impact on Urban Growth in Mainland China”.Jiaming Li, Peiyuan Zhang, Jialin He & Dongqi Sun - 2022 - Complexity 2022:1-1.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  111. N-Lump to the (2+1)-Dimensional Variable-Coefficient Caudrey–Dodd–Gibbon–Kotera–Sawada Equation.Junjie Li, Jalil Manafian, Aditya Wardhana, Ali J. Othman, Ismail Husein, Mohaimen Al-Thamir & Mostafa Abotaleb - 2022 - Complexity 2022:1-32.
    In this research, the -dimensional variable-coefficient Caudrey–Dodd–Gibbon–Kotera–Sawada model used in soliton hypothesis and implemented by operating the Hirota bilinear scheme is studied. A few modern exact analytical outcomes containing interaction between a lump-two kink soliton, interaction between two-lump, the interaction between two-lump soliton, lump-periodic, and lump-three kink outcomes for the -D VC Caudrey–Dodd–Gibbon–Kotera–Sawada equation by Maple Symbolic packages are obtained. By employing Hirota’s bilinear technique, the extended soliton solutions according to bilinear frame equation are received. For this model, the contemplated (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  112. Knowledge Innovation Mechanism Based on Linkages Between Core Knowledge and Periphery Knowledge: The Case of R&D Cooperation Between Latecomers and Forerunners.Weibao Li, Xiaoli Li & Weiwei Wu - 2022 - Complexity 2022:1-13.
    With rapid changes in technology, knowledge innovation has become more and more complex. Complex partners facilitate knowledge creation and innovation in complex problem-solving. Relying on R&D cooperation with forerunners, latecomers can acquire new knowledge factors and new ideas and use them to create new knowledge. This study demonstrated the knowledge innovation mechanism based on linkages between periphery knowledge and core knowledge with knowledge map theory and set methodology. A case of R&D cooperation between latecomers and forerunners was introduced to verify (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  113. Development of a Family of Chaotic Systems with Infinite Equilibria and Its Application for Image Encryption.Xiaofeng Li, Yulong Bai, Weishuan Pan & Yong-Jie di WangMa - 2022 - Complexity 2022:1-18.
    Fourth-order autonomous nonlinear differential equations can exhibit chaotic properties. In this study, we propose a family of fourth-order chaotic systems with infinite equilibrium points whose equilibria form closed curves of different shapes. First, the phase diagrams and Lyapunov exponents of the system family are simulated. The results show that the system family has complex phase diagrams and dynamic behaviors. Simulation analysis of the Poincarè mapping and bifurcation diagrams shows that the system has chaotic characteristics. The circuit simulation model is constructed (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  114.  1
    Dynamic Measurement Analysis of Urban Innovation Ability and Ecological Efficiency in China.Xing Li & Fuzhou Luo - 2022 - Complexity 2022:1-14.
    To establish the evaluation index system of urbanization innovation level and ecological efficiency, the entropy method is applied to measure the comprehensive index of urbanization innovation level and ecological efficiency, the VAR model is established, and empirical measurement is used to study the internal relationship and dynamic development between urbanization innovation level and ecological efficiency. The empirical results show the following: The overall development of the innovation level in 30 cities in China is uneven, there is a large gap between (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  115. Analysis of the Mechanism of Political Cost in the Complex Environmental Governance System.Xintao Li, Tongshun Cheng, Zaisheng Zhang & Li Zhao - 2022 - Complexity 2022:1-31.
    The emergence of conflicts between environmental safety incidents and protection rights generates sizeable political costs, which endangers the legitimacy of the government as well as political security and stability. This article further examines the role of political costs in environmental issues. First, political costs in relation to environmental issues are defined. An equilibrium strategic analysis is then presented using an evolutionary game model in which the strategic behavioral choices of government, enterprises, and citizens are investigated by embedding political costs in (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  116. Distributed Continuous-Time Containment Control of Heterogeneous Multiagent Systems with Nonconvex Control Input Constraints.Xue Li, Lulu Wang & Yinsen Zhang - 2022 - Complexity 2022:1-12.
    This paper focuses on studying containment control problem with switching communication graphs of continuous-time heterogeneous multiagent systems where the control inputs are constrained in a nonconvex set. A nonlinear projection algorithm is proposed to address the problem. We discuss the stability and containment control of the system with switching topologies and nonconvex control input constraints under three different conditions. It is shown that all agents converge to the convex hull of the given leaders ultimately while staying in the nonconvex set (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  117. Production Strategy Selection and Carbon Emission Reduction with Consumer Heterogeneity Under Cap-and-Trade Regulation.Xuzhao Li, Yao Tang & Yu Tang - 2022 - Complexity 2022:1-17.
    In literature, the firm’s selection of dual-product strategy under cap-and-trade regulation and the optimal emission reduction decisions are not well studied, especially through an analytical approach. We develop a theoretic model to investigate the firm’s selection on three product strategies in the presence of cap-and-trade policy, including two single product strategies and a dual-product strategy, and identify two types of consumers: consumers with low-carbon preference and regular consumers. Our analysis shows that, in the absence of cap-and-trade policy, it is optimal (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  118. Digital Financial Inclusion, Spatial Spillover, and Household Consumption: Evidence From China.Yao Li, Haiming Long & Jiajun Ouyang - 2022 - Complexity 2022:1-14.
    Financial development is often considered one of the main drivers promoting household consumption. As a form of financial development, whether digital financial inclusion can promote household consumption has been a concern for researchers and policymakers. Considering geographical connectivity characteristics, we examine the effects of digital financial inclusion on household consumption by applying spatial econometric models and using data from 31 provinces in China from 2013 to 2018. The impact of digital financial inclusion is further disaggregated into direct, indirect, and total (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  119. Incorporating Transformers and Attention Networks for Stock Movement Prediction.Yawei Li, Shuqi Lv, Xinghua Liu & Qiuyue Zhang - 2022 - Complexity 2022:1-10.
    Predicting stock movements is a valuable research field that can help investors earn more profits. As with time-series data, the stock market is time-dependent and the value of historical information may decrease over time. Accurate prediction can be achieved by mining valuable information with words on social platforms and further integrating it with actual stock market conditions. However, many methods still cannot effectively dig deep into hidden information, integrate text and stock prices, and ignore the temporal dependence. Therefore, to solve (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  120. Artificial Intelligence-Based Real-Time Signal Sample and Analysis of Multiperson Dragon Boat Race in Complex Networks.Yu Li & Peihua Liu - 2022 - Complexity 2022:1-8.
    Dragon boat sport is a traditional activity in China. In recent years, dragon boat sport has become more and more popular around the world. In order to face more challenges, it is urgent for athletes to enhance their own strength. Scientific training methods are particularly important for athletes, and accurate training data are the basis to support scientific training. Traditional mathematical statistic methods neither can sample signals accurately nor can they do real-time analysis and feedback the characteristics to each athlete. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  121. Invulnerability Analysis and Optimization Strategy of Sector Network Using Cascading Failure Model.Haijun Liang, Jingyu Lu & Nan Chen - 2022 - Complexity 2022:1-12.
    Resolving the challenge of flight delays caused by air traffic congestion renders it necessary to explore the mode of congestion propagation. By applying complex network theory, this article establishes a complex network structure where airspace sectors act as nodes, and the edges represent traffic flow relationships between sectors. In addition, a cascading failure model is proposed to analyze the airspace sector network’s invulnerability. The critical threshold and the sector abnormality rate are determined according to the cascading failure measurement indexes. Based (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  122.  1
    The Impact of Internet Use on Corporate Tax Avoidance: Evidence From Chinese Enterprises.Gaoyi Lin, Yanyan Zhao, Wanmin Liu & Jianjun Zhou - 2022 - Complexity 2022:1-17.
    Based on the data of Chinese industrial enterprises from 2004 to 2009, a fixed-effect model is adopted in this paper to analyze the effect and the mechanism of the enterprises using the Internet on tax avoidance. The result shows that using the Internet will produce the peer effect, which enables enterprises to learn tax avoidance strategies on the Internet and makes the degree of tax avoidance between enterprises and other enterprises in the same industry converge. At the same time, using (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  123. The Laplacian Spectrum, Kirchhoff Index, and the Number of Spanning Trees of the Linear Heptagonal Networks.Jia-Bao Liu, Jing Chen, Jing Zhao & Shaohui Wang - 2022 - Complexity 2022:1-10.
    Let H n be the linear heptagonal networks with 2 n heptagons. We study the structure properties and the eigenvalues of the linear heptagonal networks. According to the Laplacian polynomial of H n, we utilize the method of decompositions. Thus, the Laplacian spectrum of H n is created by eigenvalues of a pair of matrices: L A and L S of order numbers 5 n + 1 and 4 n + 1 n! / r! n − r!, respectively. On the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  124. Joint Optimization Decision of Online Retailers’ Pricing and Live-Streaming Effort in the Postepidemic Era.Jinrong Liu, Qi Xu & Zhongmiao Sun - 2022 - Complexity 2022:1-11.
    The isolation requirements of the coronavirus epidemic and the intuitive display advantages of live-streaming have led to an increasing number of retailers shifting to social live-streaming platforms and e-commerce live-streaming platforms to promote and sell their products in real time. However, the provision of live-streaming services will also incur high live-streaming effort costs. In this paper, we develop two decision models for retailers to sell goods through a single online shop and both online shop and live-streaming room; we also present (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  125. Link Prediction Model for Weighted Networks Based on Evidence Theory and the Influence of Common Neighbours.Miaomiao Liu, Yang Wang, Jing Chen & Yongsheng Zhang - 2022 - Complexity 2022:1-16.
    A link prediction model for weighted networks based on Dempster–Shafer evidence theory and the influence of common neighbours is proposed in this paper. First, three types of future common neighbours and their topological structures are proposed. Second, the concepts of endpoint weight influence, link weight influence, and high-strength node influence are introduced. Then, the similarity based on the impacts of current common neighbours and FCNs is defined, respectively. Finally, the two similarity indices are fused by the DS evidence theory. This (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  126. Adaptive Mixed-Attribute Data Clustering Method Based on Density Peaks.Shihua Liu - 2022 - Complexity 2022:1-13.
    The clustering of mixed-attribute data is a vital and challenging issue. The density peaks clustering algorithm brings us a simple and efficient solution, but it mainly focuses on numerical attribute data clustering and cannot be adaptive. In this paper, we studied the adaptive improvement method of such an algorithm and proposed an adaptive mixed-attribute data clustering method based on density peaks called AMDPC. In this algorithm, we used the unified distance metric of mixed-attribute data to construct the distance matrix, calculated (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  127. Quantitative Analysis of COVID-19 Pandemic Responses Based on an Improved SEIR-SD Model.Yang Liu, Bingrui Liu, Yi Deng & Jia Liu - 2022 - Complexity 2022:1-18.
    In late 2019, the COVID-19 pandemic began to spread over the world, causing millions of deaths. In the first few months of the pandemic, several countries prevented the spread of the pandemic successfully. By contrast, the pandemic in many other countries was not controlled well. For example, India encountered a second serious outbreak of COVID-19 from April 2021 due to the poor resistance measures implemented by the government. To figure out the effective countermeasures to the pandemic, this research proposes a (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  128. Vibration Suppression of a Coupled Aircraft Wing with Finite-Time Convergence.Yiming Liu, Zhifeng Tan, Xiaofen Yang & Xiaowei Wang - 2022 - Complexity 2022:1-14.
    A nonlinear coupled wing model subject to unknown external disturbances is proposed in this paper. Since the model is modeled by partial differential equations, the traditional control design scheme based on the ordinary differential equation model is not applicable, and the control law design becomes very complex. In this paper, a new antidisturbance boundary control scheme based on a finite time convergent disturbance observer is proposed. The control laws are designed based on the new disturbance observers to make the external (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  129. Study on the Heterogeneity of Social Security Affecting the Sense of Security of Urban and Rural Residents.Yuanfeng Liu & Shujiao Luo - 2022 - Complexity 2022:1-6.
    Social security is an important part of the national security system from the perspective of the overall security concept, and social security is an important influencing factor of social security. Using the CFPS2018 data, this study uses the critical weight method to measure residents’ individual security and uses path analysis to empirically study the impact of endowment insurance and medical insurance on residents’ security in urban and rural areas. The results show that the depth of endowment insurance has a significant (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  130. Paths Study on Knowledge Convergence and Development in Computational Social Science: Data Metric Analysis Based on Web of Science.Yuxi Liu, Xin Feng, Yue Zhang, Ying Kong & Rongyao Yang - 2022 - Complexity 2022:1-18.
    Computational social science, as an emerging interdisciplinary discipline, is a field ushered in by long-term development of traditional social science. It is committed to supplying data thinking, resources, and analytics to study human social behavior and social operation laws to accurately grasp and judge the developing path of the discipline, which is of great significance to promote the innovation and development of social sciences. This study is to conduct a systematic quantitative analysis from a bibliometric perspective, aiming to provide a (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  131. Performance of the 2D Coupled Map Lattice Model and Its Application in Image Encryption.Zhuo Liu, Jin Yuan Liu, Leo Yu Zhang, Yong Zhao & Xiao Feng Gong - 2022 - Complexity 2022:1-18.
    The two-dimensional coupled map lattice model has been extensively employed as the basis component for designing various schemes in the cryptography system due to its complicated chaotic dynamic behavior. In this study, we analyze the chaotic characteristics of the 2D CML model, such as the Lyapunov exponent, synchronization stability, bifurcation, and ergodicity. We then show that the chaotic sequences generated by the 2D CML model are random according to the NIST testing. Furthermore, we propose an image encryption scheme based on (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  132. Passenger Behavior Simulation in Congested Urban Rail Transit System: A Capacity-Limited Optimal Strategy Model for Passenger Assignment.Kai Lu & Nan Cao - 2022 - Complexity 2022:1-13.
    Optimal strategy, one of the main transit assignment models, can better demonstrate the flexibility for passengers using routes in a transit network. According to the basic optimal strategy model, passengers can board trains based on their frequency without any capacity limitation. In the metropolitan cities such as Beijing, Shanghai, and Hong Kong, morning commuters face huge transit problems. Especially for the metro system, there is heavy rush in metro stations. Owing to the limited train capacity, some passengers cannot board the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  133. Model Averaging Estimation Method by Kullback–Leibler Divergence for Multiplicative Error Model.Wanbo Lu & Wenhui Shi - 2022 - Complexity 2022:1-13.
    In this paper, we propose the model averaging estimation method for multiplicative error model and construct the corresponding weight choosing criterion based on the Kullback–Leibler divergence with a hyperparameter to avoid the problem of overfitting. The resulting model average estimator is proved to be asymptotically optimal. It is shown that the Kullback–Leibler model averaging estimator asymptotically minimizes the in-sample Kullback–Leibler divergence and improves the forecast accuracy of out-of-sample even under different loss functions. In simulations, we show that the KLMA estimator (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  134. A Novel Approach to Improving E-Government Performance From Budget Challenges in Complex Financial Systems.Enkeleda Lulaj, Ismat Zarin & Shawkat Rahman - 2022 - Complexity 2022:1-16.
    Today, the risk management of budget challenges throughout the budget process is greater than ever. The process of change has been driven by new information and communication technologies, resulting in e-government. The purpose of this scientific paper is to see whether budgetary challenges have an effect on the performance of e-government in complex financial systems based on factors F1, F2, F3, F4, and F5: lack of information, lack of cooperation, lack of resources and reduction of focus, lack of budget experts (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  135. Complexity Problems Handled by Advanced Computer Simulation Technology in Smart Cities 2021.Zhihan Lv, Kaoru Ota, Jaime Lloret, Wei Xiang & Paolo Bellavista - 2022 - Complexity 2022:1-3.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  136.  1
    Analysis of Factors Influencing Stock Market Volatility Based on GARCH-MIDAS Model.Dan Ma, Tianxing Yang, Liping Liu & Yi He - 2022 - Complexity 2022:1-10.
    This paper further extends the existing GARCH-MIDAS model to deal with the effect of microstructure noise in mixed frequency data. This paper has two highlights. First, according to the estimation of the long-term volatility components of the GARCH-MIDAS model, rAVGRV is adopted to substitute for the RV estimator. rAVGRV uses the rich data sources in tick-by-tick data and significantly corrects the impact of the microstructure noise on volatility estimation. Second, besides introducing macroeconomic variables, deposits in financial institutions, industrial value-added, and (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  137. Self-Organization in Network Sociotechnical Systems.Svetlana Maltseva, Vasily Kornilov, Vladimir Barakhnin & Alexander Gorbunov - 2022 - Complexity 2022:1-24.
    We can observe self-organization properties in various systems. However, modern networked dynamical sociotechnical systems have some features that allow for realizing the benefits of self-organization in a wide range of systems in economic and social areas. The review examines the general principles of self-organized systems, as well as the features of the implementation of self-organization in sociotechnical systems. We also delve into the production systems, in which the technical component is decisive, and social networks, in which the social component dominates; (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  138. An Empirical Evaluation of Supervised Learning Methods for Network Malware Identification Based on Feature Selection.C. Manzano, C. Meneses, P. Leger & H. Fukuda - 2022 - Complexity 2022:1-18.
    Malware is a sophisticated, malicious, and sometimes unidentifiable application on the network. The classifying network traffic method using machine learning shows to perform well in detecting malware. In the literature, it is reported that this good performance can depend on a reduced set of network features. This study presents an empirical evaluation of two statistical methods of reduction and selection of features in an Android network traffic dataset using six supervised algorithms: Naïve Bayes, support vector machine, multilayer perceptron neural network, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  139. Analysis of the Fractional-Order Delay Differential Equations by the Numerical Method.Saadia Masood, Muhammad Naeem, Roman Ullah, Saima Mustafa & Abdul Bariq - 2022 - Complexity 2022:1-14.
    In this study, we implemented a new numerical method known as the Chebyshev Pseudospectral method for solving nonlinear delay differential equations having fractional order. The fractional derivative is defined in Caputo manner. The proposed method is simple, effective, and straightforward as compared to other numerical techniques. To check the validity and accuracy of the proposed method, some illustrative examples are solved by using the present scenario. The obtained results have confirmed the greater accuracy than the modified Laguerre wavelet method, the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  140. A Composite Index for Measuring Stock Market Inefficiency.Raffaele Mattera, Fabrizio Di Sciorio & Juan E. Trinidad-Segovia - 2022 - Complexity 2022:1-13.
    Market inefficiency is a latent concept, and it is difficult to be measured by means of a single indicator. In this paper, following both the adaptive market hypothesis and the fractal market hypothesis, we develop a new time-varying measure of stock market inefficiency. The proposed measure, called composite efficiency index, is estimated as the synthesis of the most common efficiency measures such as the returns’ autocorrelation, liquidity, volatility, and a new measure based on the Hurst exponent, called the Hurst efficiency (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  141. On the Rejection of Random Perturbations and the Tracking of Random References in a Quadrotor.Jesus Alberto Meda-Campaña, Jonathan Omega Escobedo-Alva, José de Jesús Rubio, Carlos Aguilar-Ibañez, Jose Humberto Perez-Cruz, Guillermo Obregon-Pulido, Ricardo Tapia-Herrera, Eduardo Orozco, Daniel Andres Cordova & Marco Antonio Islas - 2022 - Complexity 2022:1-16.
    In this note, the problem of tracking random references and rejecting random perturbations in a quadrotor, both generated by an auxiliary system named exosystem, is solved by extending the deterministic tracking problem to the area of stochastic processes. Besides, it is considered that only a part of the state vector of the quadrotor is available through measurements. As a consequence, the state vector of the plant must be estimated in order to close the control loop. On this basis, a controller (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  142.  1
    Systematic Framework to Predict Early-Stage Liver Carcinoma Using Hybrid of Feature Selection Techniques and Regression Techniques.Marium Mehmood, Nasser Alshammari, Saad Awadh Alanazi & Fahad Ahmad - 2022 - Complexity 2022:1-11.
    The liver is the human body’s mandatory organ, but detecting liver disease at an early stage is very difficult due to the hiddenness of symptoms. Liver diseases may cause loss of energy or weakness when some irregularities in the working of the liver get visible. Cancer is one of the most common diseases of the liver and also the most fatal of all. Uncontrolled growth of harmful cells is developed inside the liver. If diagnosed late, it may cause death. Treatment (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  143. An Efficient Conformable Fractional Chaotic Map-Based Online/Offline IBSS Scheme for Provable Security in ROM.Chandrashekhar Meshram, Rabha W. Ibrahim & Rafida M. Elobaid - 2022 - Complexity 2022:1-11.
    Chaos distributes with a covert method to condense the dynamic of complexity and satisfies the security requirements of a cryptographic system. This study gives an ability online/offline ID-based short signature scheme using conformable fractional chaotic maps. Furthermore, we establish its security under IBSS existential unforgeability of identity-based short signature under chosen message attack in the random oracle model. Some of the stimulating preparations of obtainable processes are that they give a multiperiod application of the offline storage, which licenses the agent (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  144. Fast and Robust Image Encryption Scheme Based on Quantum Logistic Map and Hyperchaotic System.Nehal Abd El-Salam Mohamed, Aliaa Youssif & Hala Abdel-Galil El-Sayed - 2022 - Complexity 2022:1-20.
    Topic of quantum chaos has begun to draw increasing attention in recent years. So, to ensure the security of digital image, an image encryption algorithm based on combining a hyperchaotic system and quantum 3D logistic map is proposed. This algorithm is applied in four stages. Initially, the key generator builds upon the foundation of mean for any row or column of the edges of the plain image. Its output value is used to yield initial conditions and parameters of the proposed (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  145. Analysis and Characterization of the Spread of COVID-19 in Mexico Through Complex Networks and Optimization Approaches.Edwin Montes-Orozco, Roman-Anselmo Mora-Gutiérrez, Sergio-Gerardo de-los-Cobos-Silva, Eric A. Rincón-García, Miguel A. Gutiérrez-Andrade & Pedro Lara-Velázquez - 2022 - Complexity 2022:1-12.
    This work analyzes and characterizes the spread of the COVID-19 disease in Mexico, using complex networks and optimization approaches. Specifically, we present two methodologies based on the principle of the rupture for the GC and Newton's law of motion to quantify the robustness and identify the Mexican municipalities whose population causes a fast spread of the SARS-CoV-2 virus. Specifically, the first methodology is based on several characteristics of the original version of the Vertex Separator Problem, and the second is based (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  146. Adaptive Event-Triggered Control for Complex Dynamical Network with Random Coupling Delay Under Stochastic Deception Attacks.M. Mubeen Tajudeen, M. Syed Ali, Syeda Asma Kauser, Khanyaluck Subkrajang, Anuwat Jirawattanapanit & Grienggrai Rajchakit - 2022 - Complexity 2022:1-12.
    This study concentrates on adaptive event-triggered control of complex dynamical networks with unpredictable coupling delays and stochastic deception attacks. The adaptive event-triggered mechanism is used to avoid the wasting of limited bandwidth. The probability of data communicated by the network is established by statistical properties and Bernoulli stochastic variables with an uncertain occurrence probability. Stability analysis based on Lyapunov–Krasovskii functional and the stability of the closed-loop system is guaranteed. Using the LMI technique, we obtain triggered parameters. To demonstrate the feasibility (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  147. Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data.Sara Muhammadullah, Amena Urooj, Faridoon Khan, Mohammed N. Alshahrani, Mohammed Alqawba & Sanaa Al-Marzouki - 2022 - Complexity 2022:1-10.
    In order to reduce the dimensionality of parameter space and enhance out-of-sample forecasting performance, this research compares regularization techniques with Autometrics in time-series modeling. We mainly focus on comparing weighted lag adaptive LASSO with Autometrics, but as a benchmark, we estimate other popular regularization methods LASSO, AdaLASSO, SCAD, and MCP. For analytical comparison, we implement Monte Carlo simulation and assess the performance of these techniques in terms of out-of-sample Root Mean Square Error, Gauge, and Potency. The comparison is assessed with (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  148. Wiener Index of Intuitionistic Fuzzy Graphs with an Application to Transport Network Flow.Tulat Naeem, Muhammad Kamran Jamil, Khawaja Muhammad Fahd & Abdu alAmeri - 2022 - Complexity 2022:1-14.
    The Wiener index WI is one of the connectivity parameters used to know the biochemical and physicochemical properties of compounds depending upon their molecular structures. Intuitionistic fuzzy graphs IFG s are a convenient tool to represent the objects and relations between them with two types of information using truth membership degree and falsity membership degree. This research work presents the concept of WI under the structure IFG s, I F trees, and I F cycles. Some bounds on WI are investigated. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  149. Evolutionary Game of Social Network for Emergency Mobilization (SNEM) of Magnitude Emergencies: Evidence From China.Rui Nan, Jingjie Wang & Wenjun Zhu - 2022 - Complexity 2022:1-13.
    As a common social network, the SNEM plays an important role in emergency management. Magnitude emergencies are characterized by high complexity and uncertainty, and it is impossible to rely on the government for emergency management alone. We should absorb multiple subjects to build the SNEM and carry out extensive emergency mobilization in the whole society. The SNEM can integrate resources, gather consensus, promote participation, and reduce risks. The analysis of the types, generation mechanism, subject behavior, and strategy selection of the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  150. Planning the Emergency Collision Avoidance Strategy Based on Personal Zones for Safe Human-Machine Interaction in Smart Cyber-Physical System.Thanh Phuong Nguyen, Hung Nguyen & Ha Quang Thinh Ngo - 2022 - Complexity 2022:1-21.
    Human contact is a key issue in social interactions for autonomous systems since robots are increasingly appearing everywhere, which has led to a higher risk of conflict. Particularly in the real world, collisions between humans and machines may result in catastrophic accidents or damaged goods. In this paper, a novel stop strategy related to autonomous systems is proposed. This control method can eliminate the vibrations produced by a system’s movement by analysing the poles and zeros in the model of autonomous (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  151. Assessing the Probability of Drought Severity in a Homogeneous Region.Rizwan Niaz, Mohammed M. A. Almazah, Ijaz Hussain, Joao Dehon Pontes Filho, Nadhir Al-Ansari & Saad Sh Sammen - 2022 - Complexity 2022:1-8.
    The standardized precipitation index is one of the most widely used indices for characterizing and monitoring drought in various regions. SPI's applicability has regional and time-scale constraints when it observes in several homogeneous climatic regions with similar characteristics. It also does not provide sufficient knowledge about precipitation deficits and the spatiotemporal evolution of drought. Therefore, a new method, the regional spatially agglomerative continuous drought probability monitoring system, is proposed to obtain spatiotemporal information and monitor drought characteristics more expeditiously. The proposed (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  152. Analysis on the Types and Characteristics of Collusion Behavior of Government Investment Project Tenderees.Sirui Nie, Yun Chen, Jingjing Li, Wenxi Zhu & Chongsen Ma - 2022 - Complexity 2022:1-13.
    The classification of collusion behaviors of government-invested project tenderers is one of the important methods to describe the characteristics and laws of collusion behaviors and strengthen the governance of collusion. Firstly, the variables that affect the type of collusion behavior are selected and cluster analysis is carried out on the cases of collusion in government investment project bidding. Then use the social network to mine the types and characteristics of the collusion behavior of the tenderee. Finally, a BP neural network (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  153. Economic Policy Uncertainty and Sectoral Trading Volume in the U.S. Stock Market: Evidence From the COVID-19 Crisis.Dohyun Pak & Sun-Yong Choi - 2022 - Complexity 2022:1-15.
    We empirically analyze the impact of economic uncertainty due to the COVID-19 pandemic on the trading volume of each sector in the S&P 500 index. Wavelet coherence analysis is carried out using economic policy uncertainty data and the trading volume of each sector in the S&P 500 index from July 2004 to September 2020. Furthermore, we apply multifractal detrended fluctuation analysis to the trading volume series of all sectors. The wavelet coherence analysis shows that the COVID-19 pandemic has substantially influenced (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  154. A Diagnosis Framework for High-Reliability Equipment with Small Sample Based on Transfer Learning.Jinxin Pan, Bo Jing, Xiaoxuan Jiao, Shenglong Wang & Qingyi Zhang - 2022 - Complexity 2022:1-15.
    Conventional methods for fault diagnosis typically require a substantial amount of training data. However, for equipment with high reliability, it is arduous to form a large-scale well-annotated dataset due to the expense of data acquisition and costly annotation. Besides, the generated data have a large number of redundant features which degraded the performance of models. To overcome this, we proposed a feature transfer scenario that transfers knowledge from similar fields to enhance the accuracy of fault diagnosis with small sample. To (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  155. Analyzing the Association Between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index.Parmod Kumar Paul, Om Prakash Mahela & Baseem Khan - 2022 - Complexity 2022:1-8.
    For selecting and interpreting appropriate behaviour of proportion between buy/neutral/sell patterns and high/moderate/low returns, the prediction error reduction index is a very useful tool. It is operationally interpretable in terms of the proportional reduction in error of estimation. We first obtain the buy/sell pattern using an Optimal Band. The analysis of the association between patterns and returns is based on the Goodman–Kruskal prediction error reduction index. Empirical analysis suggests that the prediction of returns from patterns is more impressive or of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  156. Regional Economy Using Hybrid Sequence-to-Sequence-Based Deep Learning Approach.Bo Peng - 2022 - Complexity 2022:1-8.
    In recent times, the role of the regional economy changed significantly under certain conditions of globalization and structural adjustment. The process of changing must be crucial to analyse regional economy and develop the planning of regional economy. Developing economies depend often on industries and country policies. Modern studies tend to participate in important factors in this field such as energy intensity, labour skills, local industries, resources, and local expertise. Furthermore, in this study, to start developing the regional economy and make (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  157.  1
    Modeling and Solving the Dynamic Task Allocation Problem of Heterogeneous UAV Swarm in Unknown Environment.Qiang Peng, Husheng Wu & Na Li - 2022 - Complexity 2022:1-14.
    As a NP-hard problem that needs to be solved in real time, the dynamic task allocation problem of unmanned aerial vehicle swarm has gradually become a difficulty and hotspot in the current planning field. Aiming at the problems of poor real-time performance and low quality of the solution in the dynamic task allocation of heterogeneous UAV swarm in uncertain environment, this paper establishes a dynamic task allocation model that can meet the actual needs and uses the binary wolf pack algorithm (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  158. Participatory Landslide Inventory (PLI): An Online Tool for the Development of a Landslide Inventory.E. N. C. Perera, A. M. C. T. Gunaratne & S. B. D. Samarasinghe - 2022 - Complexity 2022:1-10.
    A landslide inventory is a detailed register of the spatial distribution, geometry, and attributes of landslides and is essential for landslide hazard analysis, risk management, regional planning, and land use management and development, especially in landslide-prone regions. However, the development of a national landslide inventory is time-consuming and costly. Accordingly, most developing countries, including Sri Lanka, have basic landslide databases, which identify the location, date, and time of occurrence on a point map. This study, therefore, aimed to introduce a new (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  159. Engaging Stakeholders in Extraction Problems of the Chilean Mining Industry Through a Combined Social Network Analysis-Analytic Network Process Approach.Rocio Poveda-Bautista, Hannia Gonzalez-Urango, Edison Ramírez-Olivares & Jose-Antonio Diego-Mas - 2022 - Complexity 2022:1-15.
    This paper proposes a state-of-the-art methodology for the analysis of stakeholders and their role and performance related to SMEs in the mining industry in the Chilean region of Coquimbo. The relationships between the actors are studied and prioritized according to their support network position. An individual index for each actor based on their influence on solving problems is provided. The social network analysis was used to know the influence of the actors in the sector through the centrality measures. Furthermore, a (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  160. Affinity Propagation-Based Hybrid Personalized Recommender System.Iqbal Qasim, Mujtaba Awan, Sikandar Ali, Shumaila Khan, Mogeeb A. A. Mosleh, Ahmed Alsanad, Hizbullah Khattak & Mahmood Alam - 2022 - Complexity 2022:1-12.
    A personalized recommender system is broadly accepted as a helpful tool to handle the information overload issue while recommending a related piece of information. This work proposes a hybrid personalized recommender system based on affinity propagation, namely, APHPRS. Affinity propagation is a semisupervised machine learning algorithm used to cluster items based on similarities among them. In our approach, we first calculate the cluster quality and density and then combine their outputs to generate a new ranking score among clusters for the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  161. Location Optimization Model of a Greenhouse Sensor Based on Multisource Data Fusion.DianJu Qiao, ZhenWei Zhang, FangHao Liu & Bo Sun - 2022 - Complexity 2022:1-9.
    In the traditional case, the uncertainty of the ambient temperature measured by the experiential distributed sensor is considered. In this paper, a model based on the moving least square method in the fusion algorithm is proposed to study the optimal monitoring point of the sensor in the greenhouse and determine the most suitable installation position of the sensor in the greenhouse to improve the control effect of the temperature control device of the system. MATLAB simulation software is used to simulate (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  162. Output Feedback Model Predictive Control for NCSs with Input Quantization.Hongchun Qu, Yu Li & Wei Liu - 2022 - Complexity 2022:1-20.
    This paper addresses the robust output feedback model predictive control schemes for networked control systems with input quantization. The logarithmic quantizer is considered in this paper, and the sector bound approach is applied, which appropriately treats the quantization error as a sector-bounded uncertainty. The presented method involves an offline designed state observer using linear matrix inequality and online robust output feedback MPC algorithms which optimize one free control move followed by the output feedback using the estimated state. Moreover, due to (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  163. On the Dynamics and Stability of the Crime and Punishment Game.María J. Quinteros & Marcelo J. Villena - 2022 - Complexity 2022:1-14.
    We study the dynamics and stability of the economics of crime and punishment game from an evolutionary perspective. Specifically, we model the interaction between agents and controllers as an asymmetric game exploring the dynamics of the classic static model using a replicator dynamics equation, given exogenous levels of monitoring and criminal sanctions. The dynamics show five possible equilibria, from which three are stable. Our results show that a culture of honest agents is never stable; however when the penalty is high (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  164. Fusion-Learning-Based Optimization: A Modified Metaheuristic Method for Lightweight High-Performance Concrete Design.Ghodrat Rahchamani, Seyed Mojtaba Movahedifar & Amin Honarbakhsh - 2022 - Complexity 2022:1-15.
    In order to build high-quality concrete, it is imperative to know the raw materials in advance. It is possible to accurately predict the quality of concrete and the amount of raw materials used using machine learning-enhanced methods. An automated process based on machine learning strategies is proposed in this paper for predicting the compressive strength of concrete. Fusion-learning-based optimization is used in the proposed approach to generate a strong learner by pooling support vector regression models. The SVR technique proposes an (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  165. COVID-19 Lockdown Unravels the Complex Interplay Between Environmental Conditions and Human Activity.Sebastian Raimondo, Barbara Benigni & Manlio De Domenico - 2022 - Complexity 2022:1-14.
    During the COVID-19 epidemic, draconian countermeasures forbidding nonessential human activities have been adopted in several countries worldwide, providing an unprecedented setup for testing and quantifying the current impact of humankind on climate and for driving potential sustainability policies in the postpandemic era from a perspective of complex systems. In this study, we consider heterogeneous sources of environmental and human activity observables, considered as components of a complex socioenvironmental system, and apply information theory, network science, and Bayesian inference to analyze their (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  166. An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning.S. M. Taslim Uddin Raju, Amlan Sarker, Apurba Das, Md Milon Islam, Mabrook S. Al-Rakhami, Atif M. Al-Amri, Tasniah Mohiuddin & Fahad R. Albogamy - 2022 - Complexity 2022:1-19.
    This paper aims to introduce a robust framework for forecasting demand, including data preprocessing, data transformation and standardization, feature selection, cross-validation, and regression ensemble framework. Bagging ), boosting and extreme gradient boosting regression ), and stacking are employed as ensemble models. Different machine learning approaches, including support vector regression, extreme learning machine, and multilayer perceptron neural network, are adopted as reference models. In order to maximize the determination coefficient value and reduce the root mean square error, hyperparameters are set using (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  167. A Three-Dimensional Autonomous System with a Parabolic Equilibrium: Dynamical Analysis, Adaptive Synchronization Via Relay Coupling, and Applications to Steganography and Chaos Encryption.Janarthanan Ramadoss, Romanic Kengne, Dianorré Tokoue Ngatcha, Victor Kamdoum Tamba, Karthikeyan Rajagopal & Marceline Motchongom Tingue - 2022 - Complexity 2022:1-12.
    This paper is reporting on electronic implementation of a three-dimensional autonomous system with infinite equilibrium point belonging to a parabola. Performance analysis of an adaptive synchronization via relay coupling and a hybrid steganography chaos encryption application are provided. Besides striking parabolic equilibrium, the proposed three-dimensional autonomous system also exhibits hidden chaotic oscillations as well as hidden chaotic bursting oscillations. Electronic implementation of the hidden chaotic behaviors is done to confirm their physical existence. A good qualitative agreement is shown between numerical (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  168. Synchronous Reluctance Motor: Dynamical Analysis, Chaos Suppression, and Electronic Implementation.Balamurali Ramakrishnan, Andre Chéagé Chamgoué, Hayder Natiq, Jules Metsebo & Alex Stephane Kemnang Tsafack - 2022 - Complexity 2022:1-11.
    Dynamical analysis, chaos suppression and electronic implementation of the synchronous reluctance motor without external inputs are investigated in this paper. The different dynamical behaviors found in the SynRM without external inputs are illustrated in the two parameters largest Lyapunov exponent diagrams, one parameter bifurcation diagram, and phase portraits. The three single controllers are designed to suppress the chaotic behaviors found in SynRM without external inputs. The three proposed single controllers are simple and easy to implement. Numerical simulation results show that (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  169. A Novel Highly Nonlinear Quadratic System: Impulsive Stabilization, Complexity Analysis, and Circuit Designing.Arthanari Ramesh, Alireza Bahramian, Hayder Natiq, Karthikeyan Rajagopal, Sajad Jafari & Iqtadar Hussain - 2022 - Complexity 2022:1-14.
    This work introduces a three-dimensional, highly nonlinear quadratic oscillator with no linear terms in its equations. Most of the quadratic ordinary differential equations such as Chen, Rossler, and Lorenz have at least one linear term in their equations. Very few quadratic systems have been introduced and all of their terms are nonlinear. Considering this point, a new quadratic system with no linear term is introduced. This oscillator is analyzed by mathematical tools such as bifurcation and Lyapunov exponent diagrams. It is (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  170. Extraction of Psychological Effects of COVID-19 Pandemic Through Topic-Level Sentiment Dynamics.Abdul Razzaq, Touqeer Abbas, Sarfraz Hashim, Salman Qadri, Imran Mumtaz, Najia Saher, Muzammil Ul-Rehman, Faisal Shahzad & Syed Ali Nawaz - 2022 - Complexity 2022:1-10.
    The rapid increase in COVID-19 cases has become the symbol of fear, anxiety, and panic among people around the globe. Mass media has played an active role in community education by addressing the health information of this pandemic. People interact by sharing their ideas and feelings through social media platforms. There is a considerable need to implement different measures and better perceive COVID-19 pertinent facts and information by demystifying public sentiments. In this study, the Quarantine Life dataset of thousand tweets (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  171. Solitary Wave Solutions of Conformable Time Fractional Equations Using Modified Simplest Equation Method.Waseem Razzaq, Mustafa Habib, Muhammad Nadeem, Asim Zafar, Ilyas Khan & Patrick Kandege Mwanakatwea - 2022 - Complexity 2022:1-9.
    This study presents a modified simplest equation method to investigate some real and exact solutions of conformable time fractional Benjamin-Bona-Mahony equation and Chan-Hilliard equation. We use traveling wave transformation to obtain the results in the form of series solution. Some calculations are performed through Mathematica software to analyze the accuracy of this approach. Graphical representations are reported for more significant results at different fractional-order which demonstrates that this approach is very simple, adequate, and legitimate.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  172. Synchronization and Antisynchronization of Identical 4D Hyperchaotic Financial System with External Perturbation Via Sliding Mode Control Technique.Fazal ur Rehman, Muhammad Rafiq Mufti, Muhammad Umar Farooq, Sami ud Din, Jawad Ali & Nadir Mehmood - 2022 - Complexity 2022:1-27.
    In this article, complete synchronization and antisynchronization in the identical financial chaotic system are presented. The proposed control strategies depend on first-order sliding mode and adaptive integral sliding mode for complete synchronization and antisynchronization of the identical financial chaotic system. In the primary case, the system parameters should be known, and first-order sliding mode control is utilized for synchronization and antisynchronization while in the second case, the system parameters are considered unknown. An adaptive integral sliding mode control strategy is utilized (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  173. An Epidemic Spreading Simulation and Emergency Management Based on System Dynamics: A Case Study of China’s University Community.Wei Rong, Ping Wang, Zonglin Han & Wei Zhao - 2022 - Complexity 2022:1-12.
    The spread of epidemics, especially COVID-19, is having a significant impact on the world. If an epidemic is not properly controlled at the beginning, it is likely to spread rapidly and widely through the coexistence relationship between natural and social systems. A university community is a special, micro-self-organized social system that is densely populated. However, university authorities in such an environment seem to be less cautious in the defence of an epidemic. Currently, there is almost no quantitative research on epidemic (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  174.  2
    Some Recent Modifications of Fixed Point Iterative Schemes for Computing Zeros of Nonlinear Equations.Gul Sana, Muhammad Aslam Noor, Mahmood Ul Hassan & Zakia Hammouch - 2022 - Complexity 2022:1-17.
    In computational mathematics, it is a matter of deep concern to recognize which of the given iteration schemes converges quickly with lesser error to the desired solution. Fixed point iterative schemes are constructed to be used for solving equations emerging in many fields of science and engineering. These schemes reformulate a nonlinear equation f s = 0 into a fixed point equation of the form s = g s ; such application determines the solution of the original equation via the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  175. Distributed Energy Management for Port Power System Under False Data Injection Attacks.Qihe Shan, Xin Zhang, Qiongyue Zhang & Qiuye Sun - 2022 - Complexity 2022:1-15.
    This paper investigates a distributed energy management strategy for the port power system under false data injection attacks. The attacker can tamper with the interaction information of energy equipment, penetrate the boundary between port information system and port power system, and cause serious operation failure of port energy equipment. Firstly, a hierarchical topology is proposed to allocate the security resources of the port power system. Secondly, by reconstructing the topological structure of the port information system, the robustness of the information (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  176. Research on the Impact of Technological Finance on Financial Stability: Based on the Perspective of High-Quality Economic Growth.Lu Shen, Guohua He & Huan Yan - 2022 - Complexity 2022:1-15.
    This paper investigates the relationship between technological finance, high-quality economic growth, and financial stability. Based on data of 30 provinces collected between 2004 and 2017, this paper adopts the method of factor analysis to construct comprehensive indexes of technological finance and financial stability before calculating green total factor productivity as the index of high-quality development, using the CRS Multiplicative Model. Then it constructs the spatial SAC model and PVAR model for analyses of the just-mentioned relationship based on the total sample (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  177. Optimal Investment, Consumption, and Life Insurance Choices with Habit Formation and Inflation Risk.Ailing Shi, Xingyi Li & Zhongfei Li - 2022 - Complexity 2022:1-16.
    This research studies the optimal consumption, investment, and life insurance choices for a wage earner with habit formation, inflation risk, and mortality risk. The wage earner has access to a risk-free asset, an index bond, and a stock in a financial market. The index bond hedges inflation risk, while life insurance hedges mortality risk. The aim of the wage earner is to maximize the expected utility of consumption, bequest, and terminal wealth, where the utility of consumption comes from the part (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  178. A New Precise High Flow Oxygen Therapy System Based on Sliding Mode Control Strategy.Yan Shi, Luyu Xu, Fei Xie, Maolin Cai & Yixuan Wang - 2022 - Complexity 2022:1-12.
    In recent years, precise high flow oxygen therapy as a new type of oxygen therapy machine has gradually attracted people’s attention and has been widely used in hospital emergency and clinical treatment of respiratory diseases; especially in recent years, severe coronavirus disease has played an important role in the treatment of patients. This paper presents a new type of precise high flow oxygen therapy machine with electromagnetic pneumatic flow valve as the core control element. A sliding mode control strategy based (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  179. Effects of Vertical Transmission and Human Contact on Zika Dynamics.Abdoulaye Sow, Cherif Diallo & Hocine Cherifi - 2022 - Complexity 2022:1-15.
    The main objective of Zika transmission studies is to work out the simplest approach to scale back human mortality and morbidity caused by the disease. Therefore, it is essential to spot the relative importance of the various factors contributing to the transmission and prevalence of the disease. Many mathematical models have been formulated incorporating vector-to-human transmission or human-to-human transmission. However, they do not take into consideration the mixture of both sorts of transmission. It raises the question of the impact of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  180. A Computational Turn in Policy Process Studies: Coevolving Network Dynamics of Policy Change.Maxime Stauffer, Isaak Mengesha, Konrad Seifert, Igor Krawczuk, Jens Fischer & Giovanna Di Marzo Serugendo - 2022 - Complexity 2022:1-17.
    The past three decades of policy process studies have seen the emergence of a clear intellectual lineage with regard to complexity. Implicitly or explicitly, scholars have employed complexity theory to examine the intricate dynamics of collective action in political contexts. However, the methodological counterparts to complexity theory, such as computational methods, are rarely used and, even if they are, they are often detached from established policy process theory. Building on a critical review of the application of complexity theory to policy (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  181. Perspective on Macroscale Complexity in the National Transplant System.Morgan Stuart, Andrew Placona, Gabe Vece, Kelsi Lindblad, Saikou Diallo & Bob Carrico - 2022 - Complexity 2022:1-6.
    We present a perspective of the national transplant program based on organizational theory and complexity theory, framing the system’s allocation of donor organs as an interorganizational directed multiplex of agents with diverse belief formation in a cooperative-competitive environment. Simulation and analysis of this macroscale complexity may help explain known behavioural variations across member organizations. However, the transplant community still relies on system-scale simulations since effective macroscale methodologies are not well established. Therefore, we offer this perspective of the national transplant program (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  182. Data-Driven Method for Passenger Path Choice Inference in Congested Subway Network.Guanghui Su, Bingfeng Si, Fang Zhao & He Li - 2022 - Complexity 2022:1-13.
    In a congested large-scale subway network, the distribution of passenger flow in space-time dimension is very complex. Accurate estimation of passenger path choice is very important to understand the passenger flow distribution and even improve the operation service level. The availability of automated fare collection data, timetable, and network topology data opens up a new opportunity to study this topic based on multisource data. A probability model is proposed in this study to calculate the individual passenger’s path choice with multisource (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  183. Impacts of COVID-19 on the Return and Volatility Nexus Among Cryptocurrency Market.Xin Sui, Guifen Shi, Guanchong Hou, Shaohan Huang & Yanshuang Li - 2022 - Complexity 2022:1-15.
    The impacts of COVID-19 have spread rapidly to global financial markets. In this context, combining the spillover index method introduced by Diebold and Yilmaz and the complex network analysis framework, we examined the volatility connectedness and the topological structure among the top ten cryptocurrencies before and during the COVID-19 crisis. The results revealed that the total volatility connectedness of the cryptocurrency market markedly increased following the outbreak of COVID-19; statically, Bitcoin, Ethereum, Cardano, and Bitcoin Cash were the net transmitters before (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  184. Mathematical and Statistical Models with Applications of Spread of Private Tutoring in Saudi Arabia.Alanazi Talal Abdulrahman & Adel A. Attiya - 2022 - Complexity 2022:1-9.
    Over the past century, private tutoring in many countries has increased dramatically. Moreover, the main disadvantage of PT is that has a byproduct and a characteristic on the educational system in developing countries in terms of contributing to conditions such as large class sizes, low public expenditures, and an inadequate number of universities. In Saudi Arabia, the spread of PT at school and university levels has yet to be addressed by researchers. One goal of this examination was to research the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  185. Bank Competition, Combination of Industry and Finance, and Enterprise Innovation: Evidence From China.Xiaofang Tan, Yunshan Dong & Tongyu Fang - 2022 - Complexity 2022:1-18.
    Bank competition promotes enterprises to obtain credit funds through market mechanisms, and a combination of industry and finance has an important influence on establishing bank-enterprise relationship. Based on data of 2,245 manufacturing enterprises and branches of commercial banks in China from 2007 to 2019, this research establishes a moderated mediation model to verify whether CIF has a moderating effect on bank competition on enterprise innovation. The results are as follows. First, bank competition can both directly and indirectly promote enterprise innovation (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  186. Performance Optimization Method of Community Sports Facilities Configuration Based on Linear Planning Model.Xuefeng Tan, Chenggen Guo, Pu Sun & Shaojie Zhang - 2022 - Complexity 2022:1-7.
    The conventional community sports facility allocation methods have high minimum costs, and a new community sports facility allocation performance optimization method is designed based on a linear programming model in order to reduce the performance capital investment. The standardized community sports facility allocation performance objective function is established, and a pairwise model is built to divide the feasible and optimal solutions, and the feasible solutions and their constraints are found out. Establish a community sports facility configuration performance optimization model, delineate (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  187. Investigation of Fire-Fighting Evacuation Indication System in Industrial Plants Based on Virtual Reality Technology.Zhi Tang, Die Zhang, Jiajing Du, Wenlan Bao, Weiran Zhang & Jiaqin Liu - 2022 - Complexity 2022:1-12.
    The fire safety of industrial buildings has always been a great concern. An excellent evacuation indicator system can guide the personnel to escape quickly, thus reducing the casualties. In this study, we present a virtual simulation fire scene based on virtual reality to explore the impact of different colors, brightness values, and flashing frequencies on escape time in case of fire emergencies. The presented scene can help shorten the time required for evacuation in an industrial plant by identifying the escape (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  188. Complex Interplay of Eastern Bloc SMEs Trade Credit Determinants: Changes Due to the Global Financial Crisis.Tamara Teplova, Tatiana Sokolova, Kristina Galenskaya & Mariya Gubareva - 2022 - Complexity 2022:1-13.
    We investigate whether the determinants of small and medium enterprises’ trade credits taken for purchasing fixed assets suffered substantial changes due to the global financial crisis. The geographical focus of this paper covers 18 former Eastern bloc countries. The data sample comprises opinions of the SMEs top managers relative to the trade credit financing. The two-step Heckman procedure is applied to study complexity of the trade credit determinants. We find that before the GFC the equity concentration and inflation have negatively (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  189. The Study of a Predator-Prey Model with Fear Effect Based on State-Dependent Harvesting Strategy.Y. Tian & H. M. Li - 2022 - Complexity 2022:1-19.
    In presence of predator population, the prey population may significantly change their behavior. Fear for predator population enhances the survival probability of prey population, and it can greatly reduce the reproduction of prey population. In this study, we propose a predator-prey fishery model introducing the cost of fear into prey reproduction with Holling type-II functional response and prey-dependent harvesting and investigate the global dynamics of the proposed model. For the system without harvest, it is shown that the level of fear (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  190. A State-Dependent Impulsive Nonlinear System with Ratio-Dependent Action Threshold for Investigating the Pest-Natural Enemy Model.Ihsan Ullah Khan, Saif Ullah, Ebenezer Bonyah, Basem Al Alwan & Ahmed Alshehri - 2022 - Complexity 2022:1-18.
    Based on the Lotka–Volterra system, a pest-natural enemy model with nonlinear feedback control as well as nonlinear action threshold is introduced. The model characterizes the implementation of comprehensive prevention and control measures when the pest density reaches the nonlinear action threshold level depending on the pest density and its change rate. The mortality rate of the pest is a saturation function that strictly depends on their density while the release of natural enemies is also a nonlinear pulse term depending on (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  191. Analyzing Interdisciplinary Research Using Co-Authorship Networks.Mati Ullah, Abdul Shahid, Irfan ud Din, Muhammad Roman, Muhammad Assam, Muhammad Fayaz, Yazeed Ghadi & Hanan Aljuaid - 2022 - Complexity 2022:1-13.
    With the advancement of scientific collaboration in the 20th century, researchers started collaborating in many research areas. Researchers and scientists no longer remain solitary individuals; instead, they collaborate to advance fundamental understandings of research topics. Various bibliometric methods are used to quantify the scientific collaboration among researchers and scientific communities. Among these different bibliometric methods, the co-authorship method is one of the most verifiable methods to quantify or analyze scientific collaboration. In this research, the initial study has been conducted to (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  192. Optimization of Joint Economic Lot Size Model for Vendor-Buyer with Exponential Quality Degradation and Transportation by Chimp Optimization Algorithm.Dana Marsetiya Utama, Shanty Kusuma Dewi & Sri Kurnia Dwi Budi Maulana - 2022 - Complexity 2022:1-17.
    Freight transportation plays a critical role in improving company performance in the modern manufacturing industry. To reduce costs, companies must take advantage of the use of large vehicles. It caused fewer deliveries, but inventory costs and degradation quality are high. One of the joint economic lot size problems in supply chain is Integrated Single-Vendor Single-Buyer Inventory Problem. This study developed the I-SVSB-IP model that considers raw materials’ exponential quality degradation and transportation costs. The objective function of this research was to (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  193. A Simple Conservative Chaotic Oscillator with Line of Equilibria: Bifurcation Plot, Basin Analysis, and Multistability.Dhinakaran Veeman, Hayder Natiq, Ahmed M. Ali Ali, Karthikeyan Rajagopal & Iqtadar Hussain - 2022 - Complexity 2022:1-7.
    Here, a novel conservative chaotic oscillator is presented. Various dynamics of the oscillator are examined. Studying the dynamical properties of the oscillator reveals its unique behaviors. The oscillator is multistable with symmetric dynamics. Equilibrium points of the oscillator are investigated. Bifurcations, Lyapunov exponents, and the Poincare section of the oscillator’s dynamics are analyzed. Also, the oscillator is investigated from the viewpoint of initial conditions. The study results show that the oscillator is conservative and has no dissipation. It also has various (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  194. A Novel Discrete-Time Leslie–Gower Model with the Impact of Allee Effect in Predator Population.S. Vinoth, R. Sivasamy, K. Sathiyanathan, B. Unyong, R. Vadivel & Nallappan Gunasekaran - 2022 - Complexity 2022:1-21.
    The discrete-time system has more complex and chaotic dynamical behaviors as compared to the continuous-time system. This paper extends a discrete Leslie–Gower predator-prey system with the Allee effect in the predator’s population, whose dynamics are analyzed and explored. We have determined the equilibrium points and studied their local stability properties. We find that the system undergoes flip bifurcation and Neimark–Sacker bifurcation around the interior equilibrium point by choosing the Allee parameter as a bifurcation parameter. We discuss the stability and direction (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  195. Complex Dynamical Behavior of Holling–Tanner Predator-Prey Model with Cross-Diffusion.Caiyun Wang, Yongyong Pei, Yaqun Niu & Ruiqiang He - 2022 - Complexity 2022:1-14.
    Spatial predator-prey models have been studied by researchers for many years, because the exact distributions of the population can be well illustrated via pattern formation. In this paper, amplitude equations of a spatial Holling–Tanner predator-prey model are studied via multiple scale analysis. First, by amplitude equations, we obtain the corresponding intervals in which different kinds of patterns will be onset. Additionally, we get the conclusion that pattern transitions of the predator are induced by the increasing rate of conversion into predator (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  196. Uncertainty Measure for Multisource Intuitionistic Fuzzy Information System.Hong Wang & Hong Li - 2022 - Complexity 2022:1-21.
    Multisource information systems and multigranulation intuitionistic fuzzy rough sets are important extended types of Pawlak’s classical rough set model. Multigranulation intuitionistic fuzzy rough sets have been investigated in depth in recent years. However, few studies have considered this combination of multisource information systems and intuitionistic fuzzy rough sets. In this paper, we give the uncertainty measure for multisource intuitionistic fuzzy information system. Against the background of multisource intuitionistic fuzzy information system, each information source is regarded as a granularity level. Considering (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  197. Chinese Stock Market’s Reaction to COVID-19 in the Short and Long Run.Hongxia Wang & Zongzheng Yu - 2022 - Complexity 2022:1-18.
    We study the impact of COVID-19 on Chinese stock market which can be seen as a complex system. We use the event study method to evaluate its performance change in terms of the return rate, turnover rate, etc. We show that the abnormal return of stock market was significantly negative after the outbreak of COVID-19 and did not turn positive until May 2020. Moreover, the five-factor model is used to estimate the ordinary returns of different industries and show that abnormal (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  198. Jumping Risk Communities in the Energy Industry: An Empirical Analysis Based on Time-Varying Complex Networks.Hui Wang, Lili Jiang, Hongjun Duan, Yifeng Wang, Yichen Jiang & Xiaolei Zhang - 2022 - Complexity 2022:1-12.
    This paper uses the 5-five-minute high-frequency data of energy-listed companies in China's A-share market to extract the jump of energy stock prices and build a dynamic stock price jump complex network. Then, we analyze the clustering effect of the complex network. The research shows that the energy stock price jump is an important part of stock price volatility, and the complex network of energy stock jump risk has obvious time-varying characteristics. However, the infection problem of stock price jump risks needs (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  199. Metaverse, SED Model, and New Theory of Value.Jianguo Wang, Tongsan Wang, Yuna Shi, Diwei Xu, Yutian Chen & Jie Wu - 2022 - Complexity 2022:1-26.
    The metaverse concept constructs a virtual world parallel to the real world. The social economic dynamics model establishes a systematic model for social economic dynamics simulation that integrates macroeconomy and microeconomy based on modeling mechanism of the new theory of value by analogy with Newtonian mechanics and the modeling approach of Agent-based computational economics. This article describes the SED model’s modeling mechanisms, modeling rules, and behavior equations. At the same time, this article introduces the methods, testing standards, and some typical (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  200. Adaptive Neural Tracking Control for a Two-Joint Robotic Manipulator with Unknown Time-Varying Delays.Jiayao Wang & Yang Cui - 2022 - Complexity 2022:1-12.
    This paper presents an adaptive neural tracking control approach for a two-joint robotic manipulator with unknown time-varying delays. In order to work out the effect of unknown time-varying delays on the two-joint robotic manipulator, the appropriate Lyapunov–Krasovskii functionals and separation technology are chosen to settle this matter. The neural networks work as an approximator that has the advantage of estimating the unknown function in the system. In this paper, Lyapunov stability analysis can prove that all signals of the closed-loop system (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  201. Experimental Research on Aerated Supercavitation Suppression of Capillary Outlet Throttling Noise.Qianxu Wang, Shouchuan Wang, Huan Zhang, Yuxuan Wang, Junhai Zhou, Panpan Zhao & Jia-Bao Liu - 2022 - Complexity 2022:1-11.
    The aim of this work is the reduction of the throttling noise when the capillary is used as a throttling device. Based on the theory of bubble dynamics, two-phase flow, and aerated supercavitation, four different sizes of aerated devices used in refrigerator refrigeration systems are designed. Throttling noise and the temperature and pressure of inlet and outlet of the capillary are measured under stable operation. To compare the noise suppression effects in different groups of experiments, we introduced the cavitation number (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  202. EW-CACTUs-MAML: A Robust Metalearning System for Rapid Classification on a Large Number of Tasks.Wen-Feng Wang, Jingjing Zhang & Peng An - 2022 - Complexity 2022:1-8.
    This study aims to develop a robust metalearning system for rapid classification on a large number of tasks. The model-agnostic metalearning with the CACTUs method is improved as EW-CACTUs-MAML after integrated with the entropy weight method. Few-shot mechanisms are introduced in the deep network for efficient learning of a large number of tasks. The process of implementation is theoretically interpreted as “gene intelligence.” Validation of EW-CACTUs-MAML on a typical dataset indicates an accuracy of 97.42%, performing better than CACTUs-MAML. At the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  203.  1
    A Combined Prediction Model for Hog Futures Prices Based on WOA-LightGBM-CEEMDAN.Xiang Wang, Shen Gao, Yibin Guo, Shiyu Zhou, Yonghui Duan & Daqing Wu - 2022 - Complexity 2022:1-15.
    An integrated hog futures price forecasting model based on whale optimization algorithm, LightGBM, and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise is proposed to overcome the limitations of a single machine learning model with low prediction accuracy and insufficient model stability. The simulation process begins with a grey correlation analysis of the hog futures price index system in order to identify influencing factors; after that, the WOA-LightGBM model is developed, and the WOA algorithm is used to optimize the LightGBM (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  204. Super-Twisting Nonsingular Terminal Sliding Mode-Based Robust Impedance Control of Robots.Yixuan Wang, Tairen Sun & Jiantao Yang - 2022 - Complexity 2022:1-6.
    This paper proposes a super-twisting terminal sliding mode-based robust impedance controller to improve the compliance and robustness in robot-environment interaction. Based on the desired impedance dynamics, an impedance reference trajectory is constructed. Then, based on a super-twisting terminal sliding-mode, the robust impedance controller is designed to guarantee the achievement of the desired impedance dynamics in finite-time through the finite-time convergence of an impedance error. The main contribution of this paper is that the proposed control improves impedance control robustness by using (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  205. An Efficient CNN for Hand X-Ray Overall Scoring of Rheumatoid Arthritis.Zijian Wang, Jian Liu, Zongyun Gu & Chuanfu Li - 2022 - Complexity 2022:1-9.
    Rheumatoid arthritis is a progressive systemic autoimmune disease characterized by inflammation of the joints and surrounding tissues, which seriously affects the life of patients. The Sharp/van der Heijde method has been widely used in clinical evaluation for the RA disease. However, this manual method is time-consuming and laborious. Even if two radiologists evaluate a specific location, their subjective evaluation may lead to low inter-rater reliability. Here, we developed an efficient model powered by deep convolutional neural networks to solve these problems (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  206. Impacts of Skill Centrality on Regional Economic Productivity and Occupational Income.Keith Waters & Shade T. Shutters - 2022 - Complexity 2022:1-7.
    A well-developed perspective in the study of urban systems is that cities are complex systems that manifest as networks of interdependent economic units. These units might be occupations, industries, labor skills, patent technologies, etc. Much research has focused on describing the nature of these networks, quantifying their links, and suggesting applications for policymakers. In this paper, we examine the US skill network, focusing on the relationship between network centrality and economic performance. Here, nodes are represented by individual labor skills, and (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  207. Effect of Overconfidence on Product Diffusion in Online Social Networks: A Multiagent Simulation Based on Evolutionary Game and Overconfidence Theory.Xiaochao Wei, Qi Liao, Yanfei Zhang & Guihua Nie - 2022 - Complexity 2022:1-22.
    The rapid development of online social media has significantly promoted product diffusion in online social networks. However, prior studies focusing on irrational behavior, such as overconfidence, in PDOSN are scarce. To investigate the effect of overconfidence on PDOSN, this study combined overconfidence and an evolutionary game to conduct a multiagent simulation on PDOSN. This combined method provided an effective reference to examine product diffusion in the context of irrational behavior. After careful consideration, this study identified three overconfidence scenarios, benefit, cost, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  208. Josephson Junction Model: FPGA Implementation and Chaos-Based Encryption of sEMG Signal Through Image Encryption Technique.Colince Welba, Dhanagopal Ramachandran, Alexendre Noura, Victor Kamdoum Tamba, Sifeu Takougang Kingni, Pascal Eloundou Ntsama & Pierre Ele - 2022 - Complexity 2022:1-14.
    The field programmable gate array implementation of the nonlinear resistor-capacitor-inductor shunted Josephson junction model and its application to sEMG signal encryption through image encrypted technique are reported in this study. Thanks to the numerical simulations and FPGA implementation of the NRCISJJ model, different shapes of chaotic attractors are revealed by varying the parameters. The chaotic behaviour found in the NRCISJJ model is used to encrypt the sEMG signal through image encryption technique. The results obtained are interesting and open up many (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  209. Marshall–Olkin Extended Gumbel Type-II Distribution: Properties and Applications.Farwa Willayat, Naz Saud, Muhammad Ijaz, Anita Silvianita & Mahmoud El-Morshedy - 2022 - Complexity 2022:1-23.
    Due to the advance computer technology, the use of probability distributions has been raised up to solve the real life problems. These applications are found in reliability engineering, computer sciences, economics, psychology, survival analysis, and some others. This study offers a new probability model called Marshall–Olkin Extended Gumbel Type-II which can model various shapes of the failure rate function. The proposed distribution is capable to model increasing, decreasing, reverse J-shaped, and upside down bathtub shapes of the failure rate function. Various (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  210. A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price.Lei Wu, Yu Zhang, Yongchang Wei & Fangyu Chen - 2022 - Complexity 2022:1-14.
    The automated valuation of benchmark land price plays an essential role in regulating land demand in Chinese real-estate market as the big data are currently accumulated rapidly. However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land price-influencing factors. In this paper, an effective data-driven automated valuation framework is proposed for valuing real estate assets by combining a GIS and neural network technologies. This framework can automatically obtain the values of spatial factors affecting (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  211. Establishing a Novel Algorithm for Highly Responsive Storage Space Allocation Based on NAR and Improved NSGA-III.Peijian Wu & Yulu Chen - 2022 - Complexity 2022:1-12.
    Establishing a rapid-response mechanism to manage customer orders is very important in managing demand surges. In this study, combined with predicting order requests, we established a multiobjective optimization model to solve the warehouse space allocation problem. First, we developed a model based on the NAR neural network to predict order requests. Subsequently, we used the improved NSGA-III based on good point set theory to construct a multiobjective optimization model to minimize resource loss, maximize efficiency in goods selection, and maximize goods (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  212. Credit Risk Measurement, Decision Analysis, Transformation and Upgrading for Financial Big Data.Wenshuai Wu - 2022 - Complexity 2022:1-8.
    There is no well-built theory on credit risk measurement and decision analysis for financial big data, and an effective and scientific evaluation system for them has not been formed. A review of them can contribute to grasping the abovementioned topics, understanding current issues, analyzing research problems, mastering research challenges, and predicting future research directions. Besides, this paper points out four research directions of credit risk measurement and decision analysis for financial big data. Moreover, this paper can provide some guidance directions (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  213. The Influence Mechanism of Different Cash Flow Availability on R&D Investment: Evidence From China.Xiaobo Wu, Ye Hua & Hao Lu - 2022 - Complexity 2022:1-14.
    It has been widely assumed and proven that a firm’s research and development investment is limited if the availability of cash flow is constrained. The purpose of this study is to verify the opposite proposition: whether firms invest heavily in R&D when more cash flow is available. This paper discusses the heterogeneous relationship between cash flow from different sources and the R&D investment of firms. The study divides the firm’s cash flow into three categories according to the business activities that (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  214. Economic Policy Uncertainty and Conditional Dependence Between China and U.S. Stock Markets.Xinyu Wu, Meng Zhang, Mengqi Wu & Hao Cui - 2022 - Complexity 2022:1-9.
    In this paper, we investigate the impact of economic policy uncertainty on the conditional dependence between China and U.S. stock markets by employing the Copula-mixed-data sampling framework. In the case of EPU, we consider the global EPU, the American EPU, and the China EPU. The empirical analysis based on the Shanghai Stock Exchange Composite index in China and the S&P 500 index in the U.S. shows that the tail dependence between China and U.S. stock markets is symmetrical, and the t (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  215. A Corpus-Based Study of Public Attitudes Towards Coronavirus Vaccines.Ganlin Xia, Yiting Chen & Lijing Lu - 2022 - Complexity 2022:1-10.
    Since the beginning of 2020, COVID-19 has been sweeping the world on an unprecedented scale. As an important means of fighting the virus, vaccines have provoked heated discussions. Motivated by this practical concern, the present study aims at contributing to the understanding of public opinions about vaccines, which may provide implications for the government in their making and implementation of related policies. This research adopts a corpus-based approach in conjunction with a Critical Discourse Analysis. Data for this study drawn from (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  216. A Novel Hybrid Model for Short-Term Wind Speed Forecasting Based on Twice Decomposition, PSR, and IMVO-ELM.Xin Xia & Xiaolu Wang - 2022 - Complexity 2022:1-21.
    Accurate wind speed forecasting is an effective way to improve the safety and stability of power grid. A novel hybrid model based on twice decomposition, phase space reconstruction, and an improved multiverse optimizer-extreme learning machine is proposed to enhance the performance of short-term wind speed forecasting in this paper. In consideration of the nonstationarity of the wind speed signal, a twice decomposition based on improved complete ensemble empirical mode decomposition with adaptive noise, fuzzy entropy, and variational mode decomposition is proposed (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  217. A New Adaptive Controller for Nonlinear Systems with Uncertain Virtual Control Gains.Wei Xiao, Zhixiang Yin, Tianyue Zhou, Zi Ye & Xiaoqi Yang - 2022 - Complexity 2022:1-21.
    This paper addresses the adaptive asymptotic tracking control problem for nonlinear systems whose virtual control gains are unknown nonlinear functions of system states. Only in the first step, the Nussbaum gain technique is utilized to handle the uncertain virtual control gain. In the remaining steps, virtual control gains are dealt with by constructing novel control laws without the approximation of the uncertain nonlinear functions and external disturbances by neural networks or fuzzy logic. New adaptive laws are defined to compensate for (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  218. How Technological Innovation Influences Environmental Pollution: Evidence From China.Duan Xin, Zhang Zhi Sheng & Sun Jiahui - 2022 - Complexity 2022:1-9.
    Technological innovation has an important impact on environmental pollution. In this paper, first, we analyze the influence mechanism of technological innovation on environmental pollution and then design the index system of technological innovation. Then, we use the entropy method to calculate the technological innovation level of different regions in China based on provincial panel data from 2004 to 2016. Finally, the panel vector autoregression model is adopted, and taking the discharge of sewage, solid waste, and exhaust gas as the research (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  219. Collective Behavior Analysis and Graph Mining in Social Networks 2021.Fei Xiong, Shirui Pan & Xuzhen Zhu - 2022 - Complexity 2022:1-2.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  220. High-Tech Industrial Agglomeration and Urban Innovation in China’s Yangtze River Delta Urban Agglomeration: From the Perspective of Industrial Structure Optimization and Industrial Attributes.Dan Xu, Bo Yu & Lina Liang - 2022 - Complexity 2022:1-14.
    What is the interplay of high-tech industrial agglomeration and urban innovation? How does high-tech industrial agglomeration affect urban innovation? What are the heterogeneous effects of high-tech industry agglomeration on urban innovation in different conditions? To answer these questions, this paper analyzes the interrelationship between high-tech industry agglomeration and urban innovation based on panel data of China’s Yangtze River Delta urban agglomeration from 2010 to 2019. We discuss the influence mechanism of high-tech industrial agglomeration on urban innovation by exploring the mediating (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  221. Analysis on Indoor Ventilation Environment of House Type Based on Architectural Aesthetics.Geng-Yang Xu, Chang-Bing Chen & Zheng-Qun Cai - 2022 - Complexity 2022:1-14.
    Architectural aesthetics mainly creates architectural beauty according to the law of beauty and realizes the interaction between creative subject and object, and receptor. Its essence has been soaked and attached to all kinds of materialized carriers and behavioral subjects in the living environment. Through the aesthetic optimization of residential house type, this paper analyzes the ventilation efficiency of representative house type, which affects the prevention and control of community infectious diseases and the physical and mental health of residents. Take multiple (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  222. Prediction of Students’ Performance Based on the Hybrid IDA-SVR Model.Huan Xu - 2022 - Complexity 2022:1-11.
    Students’ performance is an important factor for the evaluation of teaching quality in colleges. The aim of this study is to propose a novel intelligent approach to predict students’ performance using support vector regression optimized by an improved duel algorithm. To the best of our knowledge, few research studies have been developed to predict students’ performance based on student behavior, and the novelty of this study is to develop a new hybrid intelligent approach in this field. According to the obtained (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  223. The Impact of Intellectual Capital on Bank Profitability During COVID-19: A Comparison with China and Pakistan.Jian Xu, Muhammad Haris & Muhammad Irfan - 2022 - Complexity 2022:1-10.
    This study aims to examine how the relationship between intellectual capital and bank profitability changed during COVID-19. Based on the data of 34 Chinese banks and 39 Pakistani banks, this study uses ordinary least squares to examine this relationship during the COVID-19 era. Profitability is measured by return on assets and return on equity, and IC is measured by the value added intellectual coefficient model. The findings show that, even during the COVID-19 pandemic, IC has managed to sustain its positive (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  224. Research on the Comprehensive Evaluation of the Higher Education System Based on FCE and ARMA Models.Xin-Hong Xu, Lei Ye, Yu Pei, Lin Zhao & Jing-Jing Wang - 2022 - Complexity 2022:1-15.
    A Higher education system is closely related to a country’s development. Governments need to make appropriate adjustments to ensure the healthy and sustainable development of higher education. To measure and evaluate the development status of the national higher education system and propose a set of policies, the following work has been done in this paper: First, this paper establishes a comprehensive evaluation index system based on the AHP-FCE model. The healthy development of education in significant countries was compared horizontally and (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  225. Effect of Contact Preference Among Heterogeneous Individuals on Social Contagions.Yining Xu, Jinghua Xiao & Xiaochen Wang - 2022 - Complexity 2022:1-15.
    In social networks, individual heterogeneity is widely existed, and an individual often tends to contact more frequently with friends of similar status or opinion. It is worth noting that the contact preference characteristic among heterogeneous individuals will have a significant effect on social contagions. Thus, we propose a social contagion model which takes the heterogeneity of individual influence and contact preference into account, and make a theoretical analysis of the social spreading process by developing an edge-based compartmental theory. We find (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  226. A Robot Human-Like Learning Framework Applied to Unknown Environment Interaction.Xianfa Xue, Lei Zuo & Ning Wang - 2022 - Complexity 2022:1-10.
    Learning from demonstration is one of the promising approaches for fast robot programming. Most learning systems learn both movements and stiffness profiles from human demonstrations. However, they rarely consider the unknown environment interaction. In this paper, a robot human-like learning framework is proposed, where it can learn human skills through demonstration and complete the interaction task with an unknown environment. Firstly, the desired trajectory was generated by dynamic movement primitive based on human demonstration. Then, an adaptive optimal admittance control scheme (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  227. Quick Compression and Transmission of Meteorological Big Data in Complicated Visualization Systems.He-Ping Yang, Ying-Rui Sun, Nan Chen, Xiao-Wei Jiang, Jing-Hua Chen, Ming Yang, Qi Wang, Zi-Mo Huo & Ming-Nong Feng - 2022 - Complexity 2022:1-9.
    The sizes of individual data files have steadily increased along with rising demand for customized services, leading to issues such as low efficiency of web-based geographical information system -based data compression, transmission, and rendering for rich Internet applications in complicated visualization systems. In this article, a WebGIS-based technical solution for the efficient transmission and visualization of meteorological big data is proposed. Based on open-source technology such as HTML5 and Mapbox GL, the proposed scheme considers distributed data compression and transmission on (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  228. Flood Detection Based on Unmanned Aerial Vehicle System and Deep Learning.Kaixin Yang, Sujie Zhang, Xinran Yang & Nan Wu - 2022 - Complexity 2022:1-9.
    Floods are one of the main natural disasters, which cause huge damage to property, infrastructure, and economic losses every year. There is a need to develop an approach that could instantly detect flooded extent. Satellite remote sensing has been useful in emergency responses; however, with significant weakness due to long revisit period and unavailability during rainy/cloudy weather conditions. In recent years, unmanned aerial vehicle systems have been widely used, especially in the fields of disaster monitoring and complex environments. This study (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  229. Covert Communication for Wireless Networks with Full-Duplex Multiantenna Relay.Ling Yang, Weiwei Yang, Liang Tang, Liwei Tao, Xingbo Lu & Zhengyun He - 2022 - Complexity 2022:1-24.
    In this work, we investigated a covert communication method in wireless networks, which is realized by multiantenna full-duplex single relay. In the first stage, the source node sends covert messages to the relay, and the relay uses a single antenna to send interference signals to the adversary node to protect the covert information being transmitted. In the second stage, the relay decodes and forwards the covert information received in the first stage; at the same time, the relay uses zero-forcing beamforming (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  230. Intensive Cold-Air Invasion Detection and Classification with Deep Learning in Complicated Meteorological Systems.Ming Yang, Hao Ma, Bomin Chen & Guangtao Dong - 2022 - Complexity 2022:1-13.
    Faster R-CNN architecture is used to solve the problems of moving path uncertainty, changeable coverage, and high complexity in cold-air induced large-scale intensive temperature-reduction detection and classification, since those problems usually lead to path identification biases as well as low accuracy and generalization ability of recognition algorithm. In this paper, an improved recognition method of national ITR path in China based on faster R-CNN in complicated meteorological systems is proposed. Firstly, quality control of the original dataset of strong cooling processes (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  231. Distributed Coordination for a Class of High-Order Multiagent Systems Subject to Actuator Saturations by Iterative Learning Control.Nana Yang & Suoping Li - 2022 - Complexity 2022:1-18.
    This paper investigates a distributed coordination control for a class of high-order uncertain multiagent systems. Under the framework of iterative learning control, a novel fully distributed learning protocol is devised for the coordination problem of MASs including time-varying parameter uncertainties as well as actuator saturations. Meanwhile, the learning updating laws of various parameters are proposed. Utilizing Lyapunov theory and combining with Graph theory, the proposed algorithm can make each follower track a leader completely over a limited time interval even though (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  232. Reasoning Methods of Unmanned Underwater Vehicle Situation Awareness Based on Ontology and Bayesian Network.Hongfei Yao, Chunsong Han & Fengxia Xu - 2022 - Complexity 2022:1-10.
    When unmanned underwater vehicles perform tasks, the marine environment situation information perceived by their sensors is insufficient and cannot be shared; moreover, the reasoning efficiency of the situation information is not high. To deal with these problems, this paper proposes an ontology-based situation awareness information expression method, using the Bayesian network method to reason about situation information. First, the situation awareness information is determined in uncertain events when performing tasks in the marine environment. The core and application ontologies of UUV (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  233. Complex System Models and Their Application in Industrial Cluster and Innovation Systems.Su Yi, Yang Zaoli, Xie Xuemei & Garg Harish - 2022 - Complexity 2022:1-3.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  234. Prediction and Classification of Financial Criteria of Management Control System in Manufactories Using Deep Interaction Neural Network (DINN) and Machine Learning.Amir Yousefpour & Hamid Mazidabadi Farahani - 2022 - Complexity 2022:1-12.
    The management control system aids administrators in guiding a business toward its organizational plans; as a result, management control is primarily concerned with the execution of the plan and plans. Financial and nonfinancial criteria are used to create management control systems. The financial element focuses on net income, earnings, and other financial metrics. The two components of leadership strategy in this study are cost and differentiation, which highlight the strategy of differentiation in attaining higher quality due to the robust strategy’s (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  235.  2
    A Quantitative Study on Dream of the Red Chamber: Word-Length Distribution and Authorship Attribution.Yue Yu, Wei Liu & Ying Feng - 2022 - Complexity 2022:1-8.
    This paper investigates the distribution characteristics of word lengths in the Dream of the Red Chamber, measured in terms of the number of syllables or characters. The results show that the frequency distribution of words of different lengths in the DRC abides by the extended logarithmic distribution model. A comparison between the first forty, the middle forty, and the last forty chapters shows that the distribution of word lengths in these three parts does not differ significantly, which sheds light on (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  236.  1
    Expletive Ta in Mandarin Chinese: A Quantitative Study.Yue Yu & Qiurong Zhao - 2022 - Complexity 2022:1-8.
    Expletive pronouns have posed significant challenges to both linguistic studies and natural language processing in Chinese. Based on the data from the Chinese corpus at the Center for Chinese Linguistics of Peking University, this paper investigates the automatic dependency parsing errors of expletive ta and relative constructions and provides a detailed quantitative analysis of the characteristics of the constructions in question. The findings not only provide evidence to show that even in radical pro-drop languages such as Mandarin, pleonastics can occur (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  237. Deep Reinforcement Learning for UAV Intelligent Mission Planning.Longfei Yue, Rennong Yang, Ying Zhang, Lixin Yu & Zhuangzhuang Wang - 2022 - Complexity 2022:1-13.
    Rapid and precise air operation mission planning is a key technology in unmanned aerial vehicles autonomous combat in battles. In this paper, an end-to-end UAV intelligent mission planning method based on deep reinforcement learning is proposed to solve the shortcomings of the traditional intelligent optimization algorithm, such as relying on simple, static, low-dimensional scenarios, and poor scalability. Specifically, the suppression of enemy air defense mission planning is described as a sequential decision-making problem and formalized as a Markov decision process. Then, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  238. Design and Implementation of a Novel Intelligent Strategy for the Permanent Magnet Synchronous Motor Emulation.Hamed Zeinoddini-Meymand, Salah Kamel & Baseem Khan - 2022 - Complexity 2022:1-15.
    In this paper, an intelligent neural network-based controller is designed and implemented to control the speed of a permanent magnet synchronous motor. First, the exact mathematical model of PMSM is presented, and then, by designing a controller, we apply the wind turbine emulation challenges. The designed controller for the first time is implemented on a Arm Cortex-M microcontroller and tested on a laboratory PMSM. Since online learning neural network on a chip requires a strong processor, high memory, and convergence guarantee, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  239. Incremental Adaptive Control of a Class of Nonlinear Nonaffine Systems.Yizhao Zhan, Shengxiang Zou, Xiongxiong He & Mingxuan Sun - 2022 - Complexity 2022:1-19.
    As a class of familiar nonlinear systems, nonaffine systems are frequently encountered in practical applications. Currently, in the context of learning control, there is a lack of research results about such general class of nonlinear systems, especially for the case of performing infinite interval tasks. This article focuses on the incremental adaptive control for nonlinear systems in nonaffine form, without requiring periodicity or repeatability. Instead of using the integral adaptation, incremental adaptive mechanisms are developed and the corresponding control schemes are (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  240. Information Dissemination and Control of NIMBY Projects Under Stigmatization.Changzheng Zhang, Yun Zhu & Lianyan Xu - 2022 - Complexity 2022:1-16.
    NIMBY projects are easily stigmatized due to their environmental risk. Stigmatization enlarges residents’ risk perception, urges residents to spread information, and takes actions to resist project implementation, causing environmental mass emergency. Taking paraxylene project as an example, information dissemination model of NIMBY project under stigmatization based on SEIR model in small world network was established, and the information dissemination process and characteristics of NIMBY project under stigmatization were simulated and analysed. The results show that the public risk perception deviation caused (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  241. Consilience of Reductionism and Complexity Theory in Language Research: Adaptive Weight Model.Chao Zhang - 2022 - Complexity 2022:1-12.
    Reductionism and complexity theory are two paradigms frequently found in language research. There exist a number of conflicts in terms of concepts and methodologies between reductionism and complexity theory, which are not conducive to creating a unified language research framework. This paper starts by discussing the adaptability of complex dynamic systems and combines cognitive processing model and artificial neural networks to construct and verify an adaptive weight model, showing that the study of reductionism is induction of high-weight elements and the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  242. A Q-Learning-Based Parameters Adaptive Algorithm for Formation Tracking Control of Multi-Mobile Robot Systems.Chen Zhang, Wen Qin, Ming-Can Fan, Ting Wang & Mou-Quan Shen - 2022 - Complexity 2022:1-19.
    This paper proposes an adaptive formation tracking control algorithm optimized by Q-learning scheme for multiple mobile robots. In order to handle the model uncertainties and external disturbances, a desired linear extended state observer is designed to develop an adaptive formation tracking control strategy. Then an adaptive method of sliding mode control parameters optimized by Q-learning scheme is employed, which can avoid the complex parameter tuning process. Furthermore, the stability of the closed-loop control system is rigorously proved by means of matrix (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  243.  1
    A Lead-Lag Relationship and Forecast Research Between China’s Crude Oil Futures and Spot Markets.Chi Zhang, Dandan Pan, Mingyan Yang & Zhengning Pu - 2022 - Complexity 2022:1-12.
    The integration of the global economy has led to an increasingly strong connection between the futures and spot markets of commodities. First, based on one-minute high-frequency prices, this paper applies the thermal optimal path method to examine the lead-lag relationship between Chinese crude oil futures and spot from March 2018 to December 2021. Second, we apply the Mixed Frequency Data Sampling Regression model and indicators such as deviation degree to test the degree of prediction of high-frequency prices in the futures (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  244. The Evolution of China’s High-Level Talent Mobility Network: A Comparative Analysis Based on School and Work Stage.Fangfang Zhang, Hui Liu, Juntao Zhang & Yi Cheng - 2022 - Complexity 2022:1-14.
    The flow of high-level talents in China is becoming more and more active and has a profound impact on the innovation and development of cities. Based on the research on the spatial distribution of the school and work stages of high-level talent in China, we study the structure and evolution of China’s high-level talent mobility network by using the data on the flow trajectory of talent among cities in China. The results show that: the spatial distribution of talents in the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  245. Consensus of Second-Order Heterogeneous Hybrid Multiagent Systems Via Event-Triggered Protocols.Hong Zhang, Yanhan Li & Ying Zheng - 2022 - Complexity 2022:1-16.
    This paper investigates the event-based consensus problem for the heterogeneous hybrid multiagent system. First, the heterogeneous hybrid MAS is proposed which contains continuous and discrete-time subsystems with second-order and first-order heterogeneous dynamics. Second, the event-triggered protocols are proposed, which mainly include the event-based control laws and event-triggered conditions for different kinds of agents. Then, the consensus conclusions of fixed topology and switching topologies are obtained based on graph theory and nonnegative matrix theory, which include the constraints on control parameters, coupling (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  246. Maintaining Diversity in Parallel Problem Solving: The Influence of Network Structure and Learning Strategy.Hua Zhang & Chunhui Cao - 2022 - Complexity 2022:1-10.
    Recent research on maintaining diversity in parallel problem solving takes into consideration only network structure, without considering the agents’ learning strategies. In this paper, we use a simulation study to extend March’s classic model by using locomotion and assessment as agents’ problem-solving strategies. First, we present a simulation framework that consists of external environment, communication networks, and agents’ learning strategies. Second, based on the framework, we develop March’s model to depict external environment. Third, we introduce four archetypical networks: a regular (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  247.  1
    Optimal Pricing Decisions for Dual-Channel Supply Chain: Blockchain Adoption and Consumer Sensitivity.Rong Zhang, Zhiwei Xia & Bin Liu - 2022 - Complexity 2022:1-9.
    Counterfeiting is common in many industries. For the authenticity of online channel products and to combat counterfeiting, many companies have begun to use blockchain technology to trace product information. This paper investigates a dual-channel supply chain consisting of one manufacturer and one retailer, in which the manufacturer sells its standard products through the retailer and adopts blockchain technology to launch the online channel to sell the traceable products. A Stackelberg game is developed to depict the pricing decision and channel strategy (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  248.  2
    Stackelberg Game Perspective on Pricing Decision of a Dual-Channel Supply Chain with Live Broadcast Sales.Rong Zhang, Xiaoying Zhang & Bin Liu - 2022 - Complexity 2022:1-11.
    Focusing on the dual-channel supply chain with live broadcasts selling, this paper investigates the service overflow of live broadcasts with Stackelberg game perspective and the impact of retailers’ different market potentials on the pricing decisions of dual-channel members. Meanwhile, it also evaluates the pricing strategy of online retailers after introducing KOL live broadcasts. The results show that when one of the dual-channel retailers adopts live broadcast sales, the live broadcast service overflow will have an adverse impact on it, but the (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  249. A Study of the Influence of Collaboration Networks and Knowledge Networks on the Citations of Papers in Sports Industry in China.Yu Zhang, Jianlan Ding, Hui Yan, Miao He & Wei Wang - 2022 - Complexity 2022:1-10.
    A scientific paper’s citation represents its influence, which is the most intuitive indicator to access the quality of papers. This paper mainly adopts the social network analysis method, using the authors and the keywords of sports industry papers in China to constitute the networks of collaboration and knowledge, to explore effects of the degree centrality of authors and keywords and the structural hole of authors and keywords on the citation of papers in the collaboration and knowledge networks and draw the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  250. Evolutionary Game Analysis of Debt Restructuring Involved by Asset Management Companies.Danyu Zhao, Li Song & Liangliang Han - 2022 - Complexity 2022:1-18.
    Based on the evolutionary game theory, this article constructs a quartet evolutionary game model for debt restructuring with the participation of asset management companies; studies the interactive mechanism of complex behaviors among the government, banks, asset management companies, and enterprises; and analyzes the stability of the strategies of each game subject. It also analyzes the stability of the equilibrium points in the system and finds the stable points that maximize the interests of each subject. Research shows that the government chooses (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  251. Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning.Meiyan Zhao, Yuhu Zhang, Tao Hu & Peng Wang - 2022 - Complexity 2022:1-13.
    Precise global solar radiation data are indispensable to the design, planning, operation, and management of solar radiation utilization equipment. Some examples prove that the uncertainty of the prediction of solar radiation provides more value than deterministic ones in the management of power systems. This study appraises the potential of random forest, V-support vector regression, and a resilient backpropagation artificial neural network for daily global solar radiation point prediction from average relative humidity, daily average temperature, and daily sunshine duration. To acquire (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  252. Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory.Shuxu Zhao, Xinyuan Chen & Xiaolong Wang - 2022 - Complexity 2022:1-17.
    Edge computing empowers the IoV to achieve performance requirements such as low latency and high computational load for in-vehicle services. However, the driving of vehicles is random and unevenly distributed, causing problems such as unbalanced load of edge servers and low edge resource utilization. Therefore, in this article, based on the vehicle trajectories, the edge resource allocation algorithm and load balancing algorithm are used to obtain the load prediction value of the edge server and then calculate the optimal edge resource (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  253.  3
    Event-Triggered Adaptive Dynamic Programming Consensus Tracking Control for Discrete-Time Multiagent Systems.Yuyang Zhao, Xiaolin Dai, Dawei Gong, Xinzhi Lv & Yang Liu - 2022 - Complexity 2022:1-14.
    This paper proposes a novel adaptive dynamic programming approach to address the optimal consensus control problem for discrete-time multiagent systems. Compared with the traditional optimal control algorithms for MASs, the proposed algorithm is designed on the basis of the event-triggered scheme which can save the communication and computation resources. First, the consensus tracking problem is transferred into the input-state stable problem. Based on this, the event-triggered condition for each agent is designed and the event-triggered ADP is presented. Second, neural networks (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  254. An Improved Multibranch Convolutional Neural Network with a Compensator for Crowd Counting.Zhiyun Zheng, Zhenhao Sun, Guanglei Zhu, Zhenfei Wang & Junfeng Wang - 2022 - Complexity 2022:1-10.
    Image-based crowd counting has extremely important applications in public safety issues. Most of the previous studies focused on extremely dense crowds. However, as the number of webcams increases, a crowd with extremely high density can obtain less error by summing the images of multiple close-range webcams, but there are still some problems such as heavy occlusions and large-scale variation. To solve the above problems, this paper proposes a new type of multibranch neural network with a compensator, in which features are (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  255. The Influence of Figures in Warning Signs at the Manual Toll Station on the Lane Change Timing of Drivers in the Context of Virtual Reality of High-Proportion ETC Vehicles.Su Zhi, Peng Qunjie, Wang Chaolun, Xiang Wang & Ling Chen - 2022 - Complexity 2022:1-8.
    The increase of ETC vehicles on expressways has changed the proportion of ETC/MTC lanes at toll stations. Based on a driving simulator, three toll gate lane warning sign schemes were proposed in this study. Driving simulation experiments were conducted to study the influence of figures in warning signs at the manual toll station on the lane change timing of drivers. It was found that the addition of arrows to the warning signs can significantly shorten the response time and guide the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  256. Modeling the Impact of Virtual Contact Network with Community Structure on the Epidemic Spreading.Jianlin Zhou & Haiyan Liu - 2022 - Complexity 2022:1-13.
    The epidemic spreading is closely related to the spread of information, and it will coevolve with the information transmission. Considering that the network structure has a significant impact on network dynamics and the virtual contact networks have obvious community structures in reality, in this article, we built a multiplex network, which contains a community structure to explore the interplay of the coupled spread dynamics. We first use a microscopic Markov chain approach to characterize the coupled disease-awareness dynamics and then analyze (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  257. Dynamic Development Analysis of Complex Network Research: A Bibliometric Analysis.Wei Zhou, Yuting Pan, Qiu Shu & Sun Meng - 2022 - Complexity 2022:1-16.
    In recent years, the method of the complex network has been applied to various fields. Dynamics research in complex networks is also an important branch. There are many types of research into dynamic complex network, but few scholars use bibliometrics to study it. Therefore, this paper adopts the method of bibliometrics to analyze the development history and status quo of dynamic complex network, providing a summary description of this research field. We used CiteSpace and Pajek to analyze 2936 relevant papers (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  258. Distributed Sliding Mode Fault-Tolerant LFC for Multiarea Interconnected Power Systems Under Sensor Fault.Xichao Zhou, Zhenlan Dou, Weiming Zhang, Yiwei Zhang, Deyi Wang, Chunyan Zhang & Dezhi Xu - 2022 - Complexity 2022:1-14.
    This paper focuses on the problem of load frequency control and sensor fault-tolerant control in the multiarea power grid. To solve these problems, a sliding mode control strategy based on an interval observer is designed. First, an interval observer is designed to obtain the boundary estimation information of the system state online, which is used to reconstruct the load disturbance online. Based on the reconstructed values, an integral sliding mode controller is designed to keep the system frequency stable when the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  259. Corrigendum to “A Fuzzy Clustering Logic Life Loss Risk Evaluation Model for Dam-Break Floods”.Yantao Zhu, Xinqiang Niu, Chongshi Gu, Bo Dai & Lixian Huang - 2022 - Complexity 2022:1-1.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  260. Research on the Flattening Method of an Energy-Based Fabric Deformation Model in Garment Design.Yuxiang Zhu, Gangqiang Li, Yanjun Peng, Mingmin Zhang, Yingran Ma & Yuanhong Wang - 2022 - Complexity 2022:1-12.
    Surface flattening plays an important role in the whole process of garment design. We proposed a novel method by using three-dimensional triangle mesh flattening in this study. First, the three-dimensional triangle mesh is flattened to a two-dimensional plane to approximate the original surface. The initial flattening results are then used as preliminary guesses for subsequent optimizations. Considering that the deformation energy in the real woven fabric is related to tensile or shear deformation, a simplified fabric deformation model based on energy (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  261. A New Chaotic System with Only Nonhyperbolic Equilibrium Points: Dynamics and Its Engineering Application.Maryam Zolfaghari-Nejad, Mostafa Charmi & Hossein Hassanpoor - 2022 - Complexity 2022:1-16.
    In this work, we introduce a new non-Shilnikov chaotic system with an infinite number of nonhyperbolic equilibrium points. The proposed system does not have any linear term, and it is worth noting that the new system has one equilibrium point with triple zero eigenvalues at the origin. Also, the novel system has an infinite number of equilibrium points with double zero eigenvalues that are located on the z -axis. Numerical analysis of the system reveals many strong dynamics. The new system (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  262. The Recognition of Action Idea EEG with Deep Learning.Guoxia Zou - 2022 - Complexity 2022:1-13.
    The recognition in electroencephalogram of action idea is to identify what action people want to do by EEG. The significance of this project is to help people who have trouble in movement. Their action ideas are identified by EEG, and then robot hands can assist them to complete the action. This paper, with comparative experiments, used OpenBCI to collect EEG action ideas during static action and dynamic action and used the EEG recognition model Conv1D-GRU to training and recognition action, respectively. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  263. Disease Identification of Lentinus Edodes Sticks Based on Deep Learning Model.Dawei Zu, Feng Zhang, Qiulan Wu, Wenyan Wang, Zimeng Yang & Zhengpeng Hu - 2022 - Complexity 2022:1-9.
    Lentinus edodes sticks are susceptible to mold infection during the culture process, and manual identification of infected sticks is heavy, untimely, and inaccurate. Aiming to solve this problem, this paper proposes a method for identifying infected Lentinus edodes sticks based on improved ResNeXt-50 deep transfer learning. First, a dataset of Lentinus edodes stick diseases was constructed. Second, based on the ResNeXt-50 model and the pretraining weight of the ImageNet dataset, the influence of pretraining weight parameters on recognition accuracy was studied. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
 Previous issues
  
Next issues