285 found

Year:

  1.  1
    Review on the Relationship of Absorptive Capacity with Interorganizational Networks and the Internationalization Process.L. F. Agramunt, J. M. Berbel-Pineda, M. M. Capobianco-Uriarte & M. P. Casado-Belmonte - 2020 - Complexity 2020:1-20.
    There is evidence about the international competitiveness of Small and Medium Enterprises having a close relationship with their absorptive capacity and internationalization networking, and for that reason, it is relevant to find out the main trends in this field of knowledge. The objective of this study is to provide a bibliometric analysis of the status of the existing research in the field to recognize main topics and help identify research gaps. This study was done through a review of 1,710 documents (...)
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  2.  2
    Geometric and Polynomial Approaches of Complex Systems and Control in Mathematics and Applied Sciences.Baltazar Aguirre-Hernández, Jorge-Antonio López-Rentería, Alejandro Armando Hossian & Cutberto Romero-Meléndez - 2020 - Complexity 2020:1-2.
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  3.  2
    Analysis of Coupled System of Implicit Fractional Differential Equations Involving Katugampola–Caputo Fractional Derivative.Manzoor Ahmad, Jiqiang Jiang, Akbar Zada, Syed Omar Shah & Jiafa Xu - 2020 - Complexity 2020:1-11.
    In this paper, we study the existence and uniqueness of solutions to implicit the coupled fractional differential system with the Katugampola–Caputo fractional derivative. Different fixed-point theorems are used to acquire the required results. Moreover, we derive some sufficient conditions to guarantee that the solutions to our considered system are Hyers–Ulam stable. We also provided an example that explains our results.
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  4.  1
    Dynamics of a Cournot Duopoly Game with a Generalized Bounded Rationality.A. Al-Khedhairi - 2020 - Complexity 2020:1-10.
    In this paper, the dynamics of Cournot duopoly game with a generalized bounded rationality is considered. The fractional bounded rationality of the Cournot duopoly game is introduced. The conditions of local stability analysis of equilibrium points of the game are derived. The effect of fractional marginal profit on the game is investigated. The complex dynamics behaviors of the game are discussed by numerical computation when parameters are varied.
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  5.  3
    The W/S Test for Data Having Neutrosophic Numbers: An Application to USA Village Population.Mohammed Albassam, Nasrullah Khan & Muhammad Aslam - 2020 - Complexity 2020:1-8.
    The W/S test under neutrosophic statistics is proposed in this paper. The Monte Carlo simulation under the neutrosophic statistical interval method is proposed and applied to study the sensitivity of various neutrosophic statistical distributions. The power of test curves for neutrosophic distributions is presented. The efficiency of the proposed W/S test under neutrosophic statistics is compared with that of the W/S test under classical statistics. The proposed test is explained with the aid of an example.
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  6.  2
    A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems.José-Luis Alfaro-Navarro, Emilio L. Cano, Esteban Alfaro-Cortés, Noelia García, Matías Gámez & Beatriz Larraz - 2020 - Complexity 2020:1-12.
    The close relationship between collateral value and bank stability has led to a considerable need to a rapid and economical appraisal of real estate. The greater availability of information related to housing stock has prompted to the use of so-called big data and machine learning in the estimation of property prices. Although this methodology has already been applied to the real estate market to identify which variables influence dwelling prices, its use for estimating the price of properties is not so (...)
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  7.  1
    Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System.Mohammad Aljanabi, Mohd Arfian Ismail & Vitaly Mezhuyev - 2020 - Complexity 2020:1-18.
    Many optimisation-based intrusion detection algorithms have been developed and are widely used for intrusion identification. This condition is attributed to the increasing number of audit data features and the decreasing performance of human-based smart intrusion detection systems regarding classification accuracy, false alarm rate, and classification time. Feature selection and classifier parameter tuning are important factors that affect the performance of any intrusion detection system. In this paper, an improved intrusion detection algorithm for multiclass classification was presented and discussed in detail. (...)
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  8.  1
    Real Estate Asset Management Companies’ Economies of Scale: Is It a Dream or Reality? The Italian Case.Evita Allodi, Claudio Cacciamani, Michele Caliolo, Pier Paolo De Santis, Fabio Della Marra & Simona Sanfelici - 2020 - Complexity 2020:1-9.
    The research focuses on a sample of 26 Italian real estate asset management companies —whose asset management is totally linked to real estate funds—that considers a period of six years. Using some variables extrapolated from the internal accountability of each SGR, the analysis investigates possible relationships between them to verify the presence or absence of economies of scale of Italian real estate management companies by multivariate regressions. The results show that there is no single model for profit maximization and cost (...)
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  9.  1
    Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network-Adaptive Dropout Depth Calculation.Feng-Ping An & Jun-E. Liu - 2020 - Complexity 2020:1-13.
    Medical image segmentation is a key technology for image guidance. Therefore, the advantages and disadvantages of image segmentation play an important role in image-guided surgery. Traditional machine learning methods have achieved certain beneficial effects in medical image segmentation, but they have problems such as low classification accuracy and poor robustness. Deep learning theory has good generalizability and feature extraction ability, which provides a new idea for solving medical image segmentation problems. However, deep learning has problems in terms of its application (...)
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  10.  2
    Test of Association in the Presence of Complex Environment.Muhammad Aslam & Osama H. Arif - 2020 - Complexity 2020:1-6.
    A new test of independence under neutrosophic statistics for testing the association between two criteria of classification is presented in this paper. The necessary contingency tables for the neutrosophic population and the neutrosophic sample are presented. The test statistic of the proposed test is introduced under neutrosophic statistics. A real example from education is selected to explain the proposed test. From the real example, it is concluded that the proposed test of independence is more informative, flexible, and suitable to be (...)
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  11.  3
    Blotch Detection in Archive Films Based on Visual Saliency Map.Yildiz Aydin & Bekir Dizdaroğlu - 2020 - Complexity 2020:1-17.
    Degradations frequently occur in archive films that symbolize the historical and cultural heritage of a nation. In this study, the problem of detection blotches commonly encountered in archive films is handled. Here, a block-based blotch detection method is proposed based on a visual saliency map. The visual saliency map reveals prominent areas in an input frame and thus enables more accurate results in the blotch detection. A simple and effective visual saliency map method is taken into consideration in order to (...)
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  12.  1
    A Case Study on Designing a Sliding Mode Controller to Stabilize the Stochastic Effect of Noise on Mechanical Structures: Residential Buildings Equipped with ATMD.Aydin Azizi - 2020 - Complexity 2020:1-17.
    This study aims to stabilize the unwanted fluctuation of buildings as mechanical structures subjected to earth excitation as the noise. In this study, the ground motion is considered as a Wiener process, in which the governing stochastic differential equations have been presented in the form of Ito equation. To stabilize the vibration of the system, the ATMD system is considered and located on the upmost story of the building. A sliding mode controller has been utilized to control the ATMD system, (...)
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  13.  6
    Applications of Artificial Intelligence Techniques to Enhance Sustainability of Industry 4.0: Design of an Artificial Neural Network Model as Dynamic Behavior Optimizer of Robotic Arms. [REVIEW]Aydin Azizi - 2020 - Complexity 2020:1-10.
    Industrial robots have a great impact on increasing the productivity and reducing the time of the manufacturing process. To serve this purpose, in the past decade, many researchers have concentrated to optimize robotic models utilizing artificial intelligence techniques. Gimbal joints because of their adjustable mechanical advantages have been investigated as a replacement for traditional revolute joints, especially when they are supposed to have tiny motions. In this research, the genetic algorithm, a well-known evolutionary technique, has been adopted to find optimal (...)
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  14.  2
    Some Topological Notations Via Maki’s Λ-Sets.A. A. Azzam & A. A. Nasef - 2020 - Complexity 2020:1-8.
    Our purpose is to present the notions of a β-Λ-set and a β-V-sets in topological space. We discuss the basic properties of β-Λ-sets and β-V-sets. Also, the achievement of the topology defined by these families of sets is obtained. Finally, these results are applied to the case of X,τ which is the digital n-space Zn,Kn.
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  15.  3
    Fuzzy Terminal Sliding Mode Control with Compound Reaching Law and Time Delay Estimation for HDU of Legged Robot.Kaixian Ba, Bin Yu, Yaliang Liu, Zhengguo Jin, Zhengjie Gao, Junxiao Zhang & Xiangdong Kong - 2020 - Complexity 2020:1-16.
    Hydraulic drive mode enables legged robots to have excellent characteristics, such as greater power-to-weight ratios, higher load capacities, and faster response speeds than other robots. Nowadays, highly integrated valve-controlled cylinder, called the hydraulic drive unit, is employed to drive the joints of these robots. However, there are some common problems in the HDU resulted from hydraulic systems, such as strong nonlinearity, asymmetry dynamic characteristics between positive and negative moving directions of the piston rod, and time-varying parameters. It is difficult to (...)
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  16.  1
    A Survey on Frameworks Used for Robustness Analysis on Interdependent Networks.Ivana Bachmann, Javier Bustos-Jiménez & Benjamin Bustos - 2020 - Complexity 2020:1-17.
    The analysis of network robustness tackles the problem of studying how a complex network behaves under adverse scenarios, such as failures or attacks. In particular, the analysis of interdependent networks’ robustness focuses on the specific case of the robustness of interacting networks and their emerging behaviors. This survey systematically reviews literature of frameworks that analyze the robustness of interdependent networks published between 2005 and 2017. This review shows that there exists a broad range of interdependent network models, robustness metrics, and (...)
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  17.  3
    Evolutionary Stability Analysis of the Coal Mine Safety Management System Governed by Delay and Impulsive Differential Equations.Li Bai, Xinhua Wang, Rongwu Lu, Hao Yu & Dan Li - 2020 - Complexity 2020:1-12.
    Control of unsafe behaviors has always been a difficult point in Coal Mine Safety Management. To study the regular pattern of behavior propagations in CMSM, a series of evolutionary dynamical system models are established by the delay and impulsive differential equations. The threshold constraints and impulse responses in the models can accurately correspond to the actual inspection and supervision measures in safety management. Through the simulation analysis and comparison of the system stability, it can be concluded that some proper settings (...)
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  18.  2
    Active Learning for Constrained Document Clustering with Uncertainty Region.M. A. Balafar, R. Hazratgholizadeh & M. R. F. Derakhshi - 2020 - Complexity 2020:1-16.
    Constrained clustering is intended to improve accuracy and personalization based on the constraints expressed by an Oracle. In this paper, a new constrained clustering algorithm is proposed and some of the informative data pairs are selected during an iterative process. Then, they are presented to the Oracle and their relation is answered with “Must-link or Cannot-link.” In each iteration, first, the support vector machine is utilized based on the label produced by the current clustering. According to the distance of each (...)
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  19. Some Nonlinear Fractional PDEs Involving Β-Derivative by Using Rational Exp−Ωη-Expansion Method.Haifa Bin Jebreen - 2020 - Complexity 2020:1-22.
    In this article, some new nonlinear fractional partial differential equations -dimensional breaking soliton equations; and the space-time fractional order SRLW equation) have been considered, in which the treatment of these equations in the diverse applications are described. Also, the fractional derivatives in the sense of β-derivative are defined. Some fractional PDEs will convert to consider ordinary differential equations with the help of transformation β-derivative. These equations are analyzed utilizing an integration scheme, namely, the rational exp−Ωη-expansion method. Different kinds of traveling (...)
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  20. On-Site Participation for Proto-Architectural Assemblies Encompassing Technology and Human Improvisation: “Fish Trap” and “Orchid” Architectural Interventions.Peter Buš, Shi-Yen Wu & Ayça Tartar - 2020 - Complexity 2020:1-8.
    This research investigates the notion of builders’ on-site engagement to physically build architectural interventions based on their demands, spatial requirements, and collaborative improvisation enhanced with the principles of uniqueness and bespoke solutions which are previously explored in computational models. The paper compares and discusses two physical installations as proto-architectural assemblies testing two different designs and building approaches: the top-down predefined designers’ scenario contrary to bottom-up unpredictable improvisation. It encompasses a building strategy based on the discrete precut components assembled by builders (...)
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  21.  3
    Percolation Theories for Multipartite Networked Systems Under Random Failures.Qing Cai, Sameer Alam, Mahardhika Pratama & Zhen Wang - 2020 - Complexity 2020:1-12.
    Real-world complex systems inevitably suffer from perturbations. When some system components break down and trigger cascading failures on a system, the system will be out of control. In order to assess the tolerance of complex systems to perturbations, an effective way is to model a system as a network composed of nodes and edges and then carry out network robustness analysis. Percolation theories have proven as one of the most effective ways for assessing the robustness of complex systems. However, existing (...)
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  22. Zagreb Connection Indices of Molecular Graphs Based on Operations.Jinde Cao, Usman Ali, Muhammad Javaid & Chuangxia Huang - 2020 - Complexity 2020:1-15.
    Topological index is a mathematical coding of the molecular graphs that predicts the physicochemical, biological, toxicological, and structural properties of the chemical compounds that are directly associated with the molecular graphs. The Zagreb connection indices are one of the TIs of the molecular graphs depending upon the connection number appeared in 1972 to compute the total electron energy of the alternant hydrocarbons. But after that, for a long period, these are not studied by researchers. Recently, Ali and Trinajstic Mol. Inform. (...)
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  23. Efficient Data Collection Method in Sensor Networks.Keyan Cao, Haoli Liu, Yefan Liu, Gongjie Meng, Si Ji & Gui Li - 2020 - Complexity 2020:1-17.
    Wireless sensor networks are widely used in many fields, such as medical and health care, military monitoring, target tracking, and people’s life, because of their advantages of convenient deployment, low cost, and good concealment. However, due to the low battery capacity of sensor nodes and environmental changes, the energy consumption of nodes is serious and the accuracy of data collection is low. In the data collection method of multiple random paths, due to the uneven geographical distribution between nodes and the (...)
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  24.  1
    An Agent-Based Model of Leader Emergence and Leadership Perception Within a Collective.Shun Cao, Neil G. MacLaren, Yiding Cao, Yingjun Dong, Hiroki Sayama, Francis J. Yammarino, Shelley D. Dionne, Michael D. Mumford, Shane Connelly, Robert Martin, Colleen J. Standish, Tanner R. Newbold, Samantha England & Gregory A. Ruark - 2020 - Complexity 2020:1-11.
    Effective teamwork in an initially leaderless group requires a high level of collective leadership emerging from dynamic interactions among group members. Leader emergence is a crucial topic in collective leadership, yet it is challenging to investigate as the problem context is typically highly complex and dynamic. Here, we explore leadership emergence and leadership perception by means of computational simulations whose assumptions and parameters were informed by empirical research and human-subject experiments. Our agent-based model describes the process of group planning. Each (...)
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  25.  2
    Robust Time-Varying Output Formation Control for Swarm Systems with Nonlinear Uncertainties.Xiaofeng Chai, Qing Wang, Yao Yu & Changyin Sun - 2020 - Complexity 2020:1-13.
    Time-varying output formation control problems for high-order time-invariant swarm systems are studied with nonlinear uncertainties and directed network topology in this paper. A robust controller which consists of a nominal controller and a robust compensator is applied to achieve formation control. The nominal controller based on the output feedback is designed to achieve desired time-varying formation properties for the nominal system. And the robust compensator based on the robust signal compensator technology is constructed to restrain nonlinear uncertainties. The time-varying formation (...)
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  26.  3
    A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems.Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji & Qiuzhen Lin - 2020 - Complexity 2020:1-18.
    Most multiobjective particle swarm optimizers often face the challenges of keeping diversity and achieving convergence on tackling many-objective optimization problems, as they usually use the nondominated sorting method or decomposition-based method to select the local or best particles, which is not so effective in high-dimensional objective space. To better solve MaOPs, this paper presents a novel angular-guided particle swarm optimizer. A novel velocity update strategy is designed in AGPSO, which aims to enhance the search intensity around the particles selected based (...)
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  27.  2
    The Formation Mechanism of Green Dairy Industry Chain From the Perspective of Green Sustainable Development.Hongli Chen & Xiuli Liu - 2020 - Complexity 2020:1-12.
    By constructing an evolutionary game model of green dairy industry chain from the perspective of green sustainable development, this paper analyzed the evolution process of strategy selection of dairy farmers and dairy enterprises under the supervision of the government. The study found the following. In the absence of supervision, even if the initial cooperation willingness of dairy farmers and dairy enterprises is strong, once the additional cost of their input of “green production” is less than the additional benefit, they will (...)
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  28.  1
    Global Behavior of Solutions in a Predator-Prey Cross-Diffusion Model with Cannibalism.Meijun Chen, Shengmao Fu & Xiaoli Yang - 2020 - Complexity 2020:1-19.
    The global asymptotic behavior of solutions in a cross-diffusive predator-prey model with cannibalism is studied in this paper. Firstly, the local stability of nonnegative equilibria for the weakly coupled reaction-diffusion model and strongly coupled cross-diffusion model is discussed. It is shown that the equilibria have the same stability properties for the corresponding ODE model and semilinear reaction-diffusion model, but under suitable conditions on reaction coefficients, cross-diffusion-driven Turing instability occurs. Secondly, the uniform boundedness and the global existence of solutions for the (...)
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  29.  3
    Cooperative Innovation in the Medical Supply Chain Based on User Feedback.Ran Chen, Gui-Sheng Hou & Yu Wang - 2020 - Complexity 2020:1-9.
    Given the importance of users in medical innovation, positive user participation can boost the cooperative innovation process within the medical supply chain. A stochastic differential model based on user feedback is proposed to study the relationship between user feedback and the medical supply chain. The stability and sensitivity of the medical supply chain is analysed through different parameters. The results show that the effect of patient feedback and suggestions from hospitals on the innovation level of medical services and medical products (...)
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  30.  2
    GIS-Based Spatial Autocorrelation Analysis of Housing Prices Oriented Towards a View of Spatiotemporal Homogeneity and Nonstationarity: A Case Study of Guangzhou, China.Shaopei Chen, Dachang Zhuang & Huixia Zhang - 2020 - Complexity 2020:1-16.
    In the past decades, the booming growth of housing markets in China triggers the urgent need to explore how the rapid urban spatial expansion, large-scale urban infrastructural development, and fast-changing urban planning determine the housing price changes and spatial differentiation. It is of great significance to promote the existing governing policy and mechanism of housing market and the reform of real-estate system. At the level of city, an empirical analysis is implemented with the traditional econometric models of regressive analysis and (...)
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  31.  1
    Distributed Task Offloading Game in Multiserver Mobile Edge Computing Networks.Shuang Chen, Ying Chen, Xin Chen & Yuemei Hu - 2020 - Complexity 2020:1-14.
    With the explosion of data traffic, mobile edge computing has emerged to solve the problem of high time delay and energy consumption. In order to cope with a large number of computing tasks, the deployment of edge servers is increasingly intensive. Thus, server service areas overlap. We focus on mobile users in overlapping service areas and study the problem of computation offloading for these users. In this paper, we consider a multiuser offloading scenario with intensive deployment of edge servers. In (...)
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  32. Self-Awareness-Based Resource Allocation Strategy for Containment of Epidemic Spreading.Xiaolong Chen, Quanhui Liu, Ruijie Wang, Qing Li & Wei Wang - 2020 - Complexity 2020:1-12.
    Resource support between individuals is of particular importance in controlling or mitigating epidemic spreading, especially during pandemics. However, there remains the question of how we can protect ourselves from being infected while helping others by donating resources in fighting against the epidemic. To answer the question, we propose a novel resource allocation model by considering the awareness of self-protection of individuals. In the model, a tuning parameter is introduced to quantify the reaction strength of individuals when they are aware of (...)
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  33.  2
    A Globally Optimal Robust Design Method for Complex Systems.Yue Chen, Jian Shi & Xiao-Jian Yi - 2020 - Complexity 2020:1-25.
    The uncertainty of the engineering system increases with the growing complexity of the engineering system; therefore, the tolerance to the uncertainty is essential. In the design phase, the output performance should reach the design criterion, even under large variations of design parameters. The tolerance to design parameter variations may be measured by the size of a solution space in which the output performance is guaranteed to deliver the required performance. In order to decouple dimensions, a maximum solution hyperbox, expressed by (...)
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  34.  2
    Modelling the Diffusion of Investment Decisions on Modular Social Networks.Xiaokang Cheng & Narisa Zhao - 2020 - Complexity 2020:1-8.
    In the financial market, information and investment behaviors disseminate in investor social networks, and different contagion patterns may cause diverse investment trends. Prior studies have investigated the impact of investor social networks, but few have considered community structure. In this paper, we study the impact of the community structure of investor social networks on the diffusion of internet investment products. A two-stage diffusion model is proposed, and the clustering coefficient and modularity of an investor social network are considered. The results (...)
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  35. Fixed-Time Convergent Guidance Law with Impact Angle Control.Zhongtao Cheng, Hao Wu, Bo Wang, Lei Liu & Yongji Wang - 2020 - Complexity 2020:1-9.
    The existing convergence control guidance laws are designed via the Lyapunov asymptotic stability theory or finite-time stability theory. However, guidance law based on the Lyapunov asymptotic stability theory would lead the states to zero only as time approaches infinity, which is imperfect theory. The convergence time for guidance laws based on finite-time stable theory is dependent on the initial states. A fixed-time convergent guidance law with impact angle control is proposed in this paper. The proposed guidance law consists of two (...)
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  36.  2
    Multiconsensus of Second-Order Multiagent Networks Via Pulse-Modulated Intermittent Control.Ming Chi, Xu-Long Wang, Ding-Xin He & Zhi-Wei Liu - 2020 - Complexity 2020:1-8.
    This paper studies the multiconsensus problem of multiagent networks based on sampled data information via the pulse-modulated intermittent control which is a general control framework unifying impulsive control, intermittent control, and sampling control. Two kinds of multiconsensus, including stationary multiconsensus and dynamic multiconsensus of multiagent networks, are taken into consideration in such control framework. Based on the eigenvalue analysis and algebraic graph theory, some necessary and sufficient conditions on the feedback gains and the control period are established to ensure the (...)
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  37.  3
    Multiagent Task Allocation in Complementary Teams: A Hunter-and-Gatherer Approach.Mehdi Dadvar, Saeed Moazami, Harley R. Myler & Hassan Zargarzadeh - 2020 - Complexity 2020:1-15.
    Consider a dynamic task allocation problem, where tasks are unknowingly distributed over an environment. This paper considers each task comprising two sequential subtasks: detection and completion, where each subtask can only be carried out by a certain type of agent. We address this problem using a novel nature-inspired approach called “hunter and gatherer.” The proposed method employs two complementary teams of agents: one agile in detecting and another skillful in completing the tasks. To minimize the collective cost of task accomplishments (...)
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  38.  1
    Dynamic Analysis of a Heterogeneous Diffusive Prey-Predator System in Time-Periodic Environment.Chuanjun Dai, He Liu, Zhan Jin, Qing Guo, Yi Wang, Hengguo Yu, Qi Wang, Zengling Ma & Min Zhao - 2020 - Complexity 2020:1-13.
    In this paper, a heterogeneous diffusive prey-predator system is first proposed and then studied analytically and numerically. Some sufficient conditions are derived, including permanence and extinction of system and the boundedness of the solution. The existence of periodic solution and its stability are discussed as well. Furthermore, numerical results indicate that both the spatial heterogeneity and the time-periodic environment can influence the permanence and extinction of the system directly. Our numerical results are consistent with the analytical analysis.
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  39.  1
    Automatic Analysis of Complex Interactions in Microservice Systems.Fei Dai, Hao Chen, Zhenping Qiang, Zhihong Liang, Bi Huang & Leiguang Wang - 2020 - Complexity 2020:1-12.
    Interactions in microservice systems are complex due to three dimensions: numerous asynchronous interactions, the diversity of asynchronous communication, and unbounded buffers. Analyzing such complex interactions is challenging. In this paper, we propose an approach for interaction analysis using model checking techniques, which is supported by the Process Analysis Toolkit tool. First, we use Labeled Transition Systems to model interaction behaviors in microservice systems as sequences of send actions under synchronous and asynchronous communications. Second, we introduce a notion of correctness called (...)
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  40.  1
    Determination of an Optimal Oil Jet Nozzle Layout for Helical Gear Lubrication: Mathematical Modeling, Numerical Simulation, and Experimental Validation.Yu Dai, Jifu Jia, Bin Ouyang & Jianeng Bian - 2020 - Complexity 2020:1-18.
    To provide a basic guidance for the selection of nozzle layout, a mathematical model of the impingement depth for helical gears under oil jet lubrication is established. Furthermore, computational fluid dynamics methods are adopted to validate the effectiveness and accuracy of the derived impingement model. Firstly, the distribution characteristics of the oil volume fraction and oil-gas pressure in meshing area were obtained in flow field simulation. Meanwhile, the influence of spray angle, jet velocity, and gear ratio on lubrication effect was (...)
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  41.  1
    Separable Nonlinear Least-Squares Parameter Estimation for Complex Dynamic Systems.Itai Dattner, Harold Ship & Eberhard O. Voit - 2020 - Complexity 2020:1-11.
    Nonlinear dynamic models are widely used for characterizing processes that govern complex biological pathway systems. Over the past decade, validation and further development of these models became possible due to data collected via high-throughput experiments using methods from molecular biology. While these data are very beneficial, they are typically incomplete and noisy, which renders the inference of parameter values for complex dynamic models challenging. Fortunately, many biological systems have embedded linear mathematical features, which may be exploited, thereby improving fits and (...)
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  42.  1
    Triangulation Applied to the Intra-European Union Tomato Market.Jaime De Pablo Valenciano, José Antonio Torres Arriaza, Juan Uribe-Toril & José Luis Ruiz-Real - 2020 - Complexity 2020:1-10.
    An understanding of the intracommunity trade is essential for the agents involved in the fresh tomato market. The purpose of this paper is to analyze the interdependent relationships between exporting and importing countries within the European Union for a specific product such as fresh tomatoes and thus understand which have been the key countries in three specific years. The methodology used to study the interrelationships of trade flows in the countries of the European Union is that of triangulation by means (...)
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  43.  5
    Positive Solutions for a System of Hadamard-Type Fractional Differential Equations with Semipositone Nonlinearities.Youzheng Ding, Jiqiang Jiang, Donal O’Regan & Jiafa Xu - 2020 - Complexity 2020:1-14.
    In this paper, we use the fixed-point index and nonnegative matrices to study the existence of positive solutions for a system of Hadamard-type fractional differential equations with semipositone nonlinearities.
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  44. Modeling, Synchronization, and FPGA Implementation of Hamiltonian Conservative Hyperchaos.Enzeng Dong, Xiaodong Jiao, Shengzhi Du, Zengqiang Chen & Guoyuan Qi - 2020 - Complexity 2020:1-13.
    Conservative chaotic systems have potentials in engineering application because of their superiority over the dissipative systems in terms of ergodicity and integer dimension. In this paper, five-dimension Euler equations are constructed by integrating two of sub-Euler equations, which are contributory to the exploration of higher-dimensional systems. These Euler equations compose the conservative parts from their antisymmetric structure, which have been proved to be both Hamiltonian and Casimir energy conservative. Furthermore, a family of Hamiltonian conservative hyperchaotic systems are proposed by breaking (...)
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  45.  1
    Energy Conservation, Singular Orbits, and FPGA Implementation of Two New Hamiltonian Chaotic Systems.Enzeng Dong, Guanghan Liu, Zenghui Wang & Zengqiang Chen - 2020 - Complexity 2020:1-15.
    Since the conservative chaotic system has no general attractors, conservative chaotic flows are more suitable for the chaos-based secure communication than the chaotic attractors. In this paper, two Hamiltonian conservative chaotic systems are constructed based on the 4D Euler equations and a proposed construction method. These two new systems are investigated by equilibrium points, dynamical evolution map, Hamilton energy, and Casimir energy. They look similar, but it is found that one can be explained using Casimir power and another cannot be (...)
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  46.  1
    Evolutionary Game Mechanism on Complex Networks of Green Agricultural Production Under Intensive Management Pattern.Jianguo Du, Zhuoyun Zhou & Lingyan Xu - 2020 - Complexity 2020:1-13.
    The diffusion of green agricultural production under intensive management pattern is an interactive process of strategy comparison and learning on complex networks among traditional farmers and new agricultural operation entities. Based on the theory of evolutionary game and complex networks, we construct evolutionary game models on the scale-free networks to simulate the evolution process of green agricultural production under the market mechanism and the government guidance mechanism, respectively. The comparison analysis results in different scenarios show that the stable state of (...)
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  47.  5
    A Novel Access Control and Energy-Saving Resource Allocation Scheme for D2D Communication in 5G Networks.Ning Du, Kaishi Sun, Changqing Zhou & Xiyuan Ma - 2020 - Complexity 2020:1-11.
    This paper investigates access link control and resource allocation for the device-to-device communication in the fifth generation cellular networks. The optimization objective of this problem is to maximize the number of admitted D2D links and minimize the total power consumption of D2D links under the condition of meeting the minimum transmission rate requirements of D2D links and common cellular links. This problem is a two-stage nondeterministic polynomial problem, the solving process of which is very complex. So, we transform it into (...)
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  48.  1
    Multistable Systems with Hidden and Self-Excited Scroll Attractors Generated Via Piecewise Linear Systems.R. J. Escalante-González & Eric Campos - 2020 - Complexity 2020:1-12.
    In this work, we present an approach to design a multistable system with one-directional, two-directional, and three-directional hidden multiscroll attractor by defining a vector field on ℝ3 with an even number of equilibria. The design of multistable systems with hidden attractors remains a challenging task. Current design approaches are not as flexible as those that focus on self-excited attractors. To facilitate a design of hidden multiscroll attractors, we propose an approach that is based on the existence of self-excited double-scroll attractors (...)
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  49.  1
    The Effect of Shadow Banking on the Systemic Risk in a Dynamic Complex Interbank Network System.Hong Fan & Hongjie Pan - 2020 - Complexity 2020:1-10.
    After the financial crisis triggered by the subprime mortgage crisis in the United States in 2008, many scholars believed that the unstable transmission of shadow banking business in the banking system is the main factor causing financial turmoil. This paper proposes a dynamic complex interbank network system model with shadow banking in which the dynamic complex interbank network system differs from the traditional banking network and is formed by the interrelated business between shadow banks and commercial banks to explore the (...)
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  50.  2
    Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition.Xiaochao Fan, Hongfei Lin, Liang Yang, Yufeng Diao, Chen Shen, Yonghe Chu & Tongxuan Zhang - 2020 - Complexity 2020:1-9.
    Humor refers to the quality of being amusing. With the development of artificial intelligence, humor recognition is attracting a lot of research attention. Although phonetics and ambiguity have been introduced by previous studies, existing recognition methods still lack suitable feature design for neural networks. In this paper, we illustrate that phonetics structure and ambiguity associated with confusing words need to be learned for their own representations via the neural network. Then, we propose the Phonetics and Ambiguity Comprehension Gated Attention network (...)
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  51. Distributed Fuzzy Adaptive Control for Heterogeneous Nonlinear Multiagent Systems with Similar Composite Structure.Yongqing Fan, Tiantian Xiao & Zhen Li - 2020 - Complexity 2020:1-10.
    A distributed fuzzy adaptive control with similar parameters is constructed for a class of heterogeneous multiagent systems. Unlike many existing works, the dimensions of each multiagent dynamic system are considered to be nonidentical in this paper. Firstly, similar properties for different dimensions of multiagent systems are introduced, and some similar parameters among multiagent systems are also proposed. Secondly, a distributed fuzzy adaptive control on the basis of similar parameters is designed for the consensus of leader-follower multiagent systems. Following the graph (...)
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  52.  2
    Complex Behaviors of Epidemic Model with Nonlinear Rewiring Rate.Ding Fang, Yongxin Zhang & Wendi Wang - 2020 - Complexity 2020:1-16.
    An SIS propagation model with the nonlinear rewiring rate on an adaptive network is considered. It is found by bifurcation analysis that the model has the complex behaviors which include the transcritical bifurcation, saddle-node bifurcation, Hopf bifurcation, and Bogdanov–Takens bifurcation. Especially, a bifurcation curve with “S” shape emerges due to the nonlinear rewiring rate, which leads to multiple equilibria and twice saddle-node bifurcations. Numerical simulations show that the model admits a homoclinic bifurcation and a saddle-node bifurcation of the limit cycle.
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  53.  7
    The Impact of International Research Collaboration Network Evolution on Chinese Business School Research Quality.Wei Fang, Sheng Dai & Lulu Tang - 2020 - Complexity 2020:1-20.
    The University of Texas at Dallas has proposed 24 top journals covering all areas related to management. UTD24 are currently the most authoritative management journals. Institutions or research scholars who have published papers in these journals are considered to have a high academic level. This study uses the paper quality published by an institution in the UTD24 journals to indicate the research quality of this institution and takes the papers published by Chinese Business School in the UTD24 journals from 2000 (...)
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  54.  4
    Global Dynamics of the Chaotic Disk Dynamo System Driven by Noise.Chunsheng Feng, Lijie Li, Yongjian Liu & Zhouchao Wei - 2020 - Complexity 2020:1-9.
    The disk dynamo system, which is capable of chaotic behaviours, is obtained experimentally from two disk dynamos connected together. It models the geomagnetic field and is used to explain the reversals in its polarity. Actually, the parameters of the chaotic systems exhibit random fluctuation to a greater or lesser extent, which can carefully describe the disturbance made by environmental noise. The global dynamics of the chaotic disk dynamo system with random fluctuating parameters are concerned, and some new results are presented. (...)
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  55.  1
    Image-Text Joint Learning for Social Images with Spatial Relation Model.Jiangfan Feng, Xuejun Fu, Yao Zhou, Yuling Zhu & Xiaobo Luo - 2020 - Complexity 2020:1-11.
    The rapid developments in sensor technology and mobile devices bring a flourish of social images, and large-scale social images have attracted increasing attention to researchers. Existing approaches generally rely on recognizing object instances individually with geo-tags, visual patterns, etc. However, the social image represents a web of interconnected relations; these relations between entities carry semantic meaning and help a viewer differentiate between instances of a substance. This article forms the perspective of the spatial relationship to exploring the joint learning of (...)
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  56.  1
    DeepFusion: Fusing User-Generated Content and Item Raw Content Towards Personalized Product Recommendation.Mingxin Gan & Hang Zhang - 2020 - Complexity 2020:1-12.
    Personalized recommender systems, as effective approaches for alleviating information overload, have received substantial attention in the last decade. Learning effective latent factors plays the most important role in recommendation methods. Several recent works extracted latent factors from user-generated content such as ratings and reviews and suffered from the sparsity problem and the unbalanced distribution problem. To tackle these problems, we enrich the latent representations by incorporating user-generated content and item raw content. Deep neural networks have emerged as very appealing in (...)
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  57. Resonant Frequency Modeling of Microwave Antennas Using Gaussian Process Based on Semisupervised Learning.Jing Gao, Yubo Tian, Xie Zheng & Xuezhi Chen - 2020 - Complexity 2020:1-12.
    For the optimal design of electromagnetic devices, it is the most time consuming to obtain the training samples from full wave electromagnetic simulation software, including HFSS, CST, and IE3D. Traditional machine learning methods usually use only labeled samples or unlabeled samples, but in practical problems, labeled samples and unlabeled samples coexist, and the acquisition cost of labeled samples is relatively high. This paper proposes a semisupervised learning Gaussian Process, which combines unlabeled samples to improve the accuracy of the GP model (...)
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  58.  2
    The Solvability of Fractional Elliptic Equation with the Hardy Potential.Siyu Gao, Shuibo Huang, Qiaoyu Tian & Zhan-Ping Ma - 2020 - Complexity 2020:1-8.
    In this paper, we study the existence and nonexistence of solutions to fractional elliptic equations with the Hardy potential −Δsu−λu/x2s=ur−1+δgu,in Ω,ux>0,in Ω,ux=0,in ℝN∖Ω, where Ω⊂ℝN is a bounded Lipschitz domain with 0∈Ω, −Δs is a fractional Laplace operator, s∈0,1, N>2s, δ is a positive number, 2
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  59.  1
    Structural Balance Control of Complex Dynamical Networks Based on State Observer for Dynamic Connection Relationships.Zilin Gao, Yinhe Wang, Jiang Xiong, Yong Pan & Yuanyuan Huang - 2020 - Complexity 2020:1-9.
    This paper investigates the observer-based structural balance control for a class of complex dynamical networks. Generally speaking, a complete complex dynamical network is composed of two coupled subsystems, which are called node subsystem and connection relationship subsystem, respectively. Similar to synchronization and stabilization of networks, the structural balance is another phenomenon of networks and determined by the state of connection relationships. However, it is not feasible to design the controller for the CS directly because the states of the connection relationships (...)
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  60. Data-Driven Learning-Based Fault Tolerant Stability Analysis.Lei Ge & Shun Chen - 2020 - Complexity 2020:1-7.
    In this paper, a new data-driven learning method is investigated based on the dynamical data of the system. A regularized regression wavelet approach is proposed to optimize the learning result for the system fault. Based on the optimizing results, a fault tolerant stability scheme is given. Then, the efficiency of the proposed technique is verified by a vertical take-off and landing aircraft stability example.
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  61.  3
    Multiple Time-Varying Formation of Networked Heterogeneous Robotic Systems Via Estimator-Based Hierarchical Cooperative Algorithms.Ming-Feng Ge, Chang-Duo Liang, Xi-Sheng Zhan, Chao-Yang Chen, Guanghui Xu & Jie Chen - 2020 - Complexity 2020:1-18.
    This paper investigates both the time-varying formation and multiple time-varying formation tracking problems of networked heterogeneous robotic systems with parameter uncertainties and external disturbances in the task space. Each robot inside can be either redundant or nonredundant. Several novel estimator-based hierarchical cooperative algorithms are designed to achieve both the tracking task and the possible preset subtasks for redundant robots. Besides, the designed estimator algorithms guarantee that each robot can obtain the accurate information of their corresponding leaders. By employing Lyapunov stability (...)
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  62. Institutional Investor Information Sharing, Stock Market Extreme Risk, and Financial Systemic Risk.Xiao-Li Gong & Zhi-Qiang Du - 2020 - Complexity 2020:1-10.
    To analyze whether information sharing in the institutional investors plays the role of a market stabilizer or risk booster, this paper constructs the institutional investor information network employing the common holding stocks of the mutual funds as links. The information linkages between two funds with large positions in the same stock are hypothesized to be connected to each other. Then, we use the information sharing efficiency in the fund networks to study the effects of information transmission on stock market extreme (...)
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  63.  4
    Existence of Positive Weak Solutions for a New Class of P,Q Laplacian Nonlinear Elliptic System with Sign-Changing Weights.Rafik Guefaifia, Salah Mahmoud Boulaaras, Sultan Alodhaibi & Salem Alkhalaf - 2020 - Complexity 2020:1-6.
    In this paper, by using subsuper solutions method, we study the existence of weak positive solutions for a new class of p,q Laplacian nonlinear elliptic system in bounded domains, when ax, bx,αx, and βx are sign-changing functions that maybe negative near the boundary, without assuming sign conditions on f0,g0,h0, and γ0.
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  64.  3
    Symmetry Groups, Similarity Reductions, and Conservation Laws of the Time-Fractional Fujimoto–Watanabe Equation Using Lie Symmetry Analysis Method.Baoyong Guo, Huanhe Dong & Yong Fang - 2020 - Complexity 2020:1-9.
    In this paper, the time-fractional Fujimoto–Watanabe equation is investigated using the Riemann–Liouville fractional derivative. Symmetry groups and similarity reductions are obtained by virtue of the Lie symmetry analysis approach. Meanwhile, the time-fractional Fujimoto–Watanabe equation is transformed into three kinds of reduced equations and the third of which is based on Erdélyi–Kober fractional integro-differential operators. Furthermore, the conservation laws are also acquired by Ibragimov’s theory.
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  65.  2
    Measure User Intimacy by Mining Maximum Information Transmission Paths.Lin Guo & Dongliang Zhang - 2020 - Complexity 2020:1-9.
    The Internet has become an important carrier of information. Its data contain abundant information about hot events, user relations and attitudes, and so on. Many enterprises use high-impact Internet users to promote products, so it is very important to understand the mechanism of information transmission. Mining social network data can help people analyze the complex and changing relationships between users. The traditional method for doing this is to analyze information such as common interests and common friends, but this data cannot (...)
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  66.  1
    Nested Saturation Function Control of a Magnetic Levitation System.Octavio Gutiérrez-Frías, Norma Lozada-Castillo, J. Alejandro Aguirre-Anaya & Diego A. Flores-Hernández - 2020 - Complexity 2020:1-9.
    The trajectory tracking task of a magnetic levitation system connected to a beam mechanism is solved by means of a nested saturation control with a feedforward term. The flatness property of the system allows to use the nested saturation control technique and the feedforward control to stabilize the output tracking error around the equilibrium. The closed-loop error dynamics is proven to be locally exponentially stable. Numerical simulations prove the effectiveness of the proposal.
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  67.  2
    Exploring the Epidemic Spreading in a Multilayer Metapopulation Network by Considering Individuals’ Periodic Travelling.Dun Han, Qi Shao & Dandan Li - 2020 - Complexity 2020:1-9.
    The convenience of transportation brings the diversity of individuals’ travelling modes; in this paper, we present an improved epidemic diffusion model in a multilayer metapopulation network. Firstly, we construct the metapopulation network with different travelling ways, and then, the epidemic spreading threshold is calculated by means of the mean-field method. Taking the periodicity of individuals’ travelling into account, we further explore the epidemic diffusion model with individuals’ periodic travelling and deduce the epidemic spreading threshold using the Perron–Frobenius theorem. Our results (...)
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  68.  2
    Study on Intelligent Compaction-Equipment Logistics Scheduling and Propagation Characteristics of Vibration Wave in Nonlinear Systems with Multistability Based on Field Test.Yixuan Han, Changwei Yang, Degou Cai, Hongye Yan & Hailing Zeng - 2020 - Complexity 2020:1-13.
    The equipment scheduling and propagation characteristics of vibration wave from vibratory roller ⟶ filling material nonlinear systems with multistability are the core problems of subgrade intelligent construction technology, and the logistics scheduling of the equipment is directly related to the construction efficiency. Aiming at the shortages, one typical subgrade located at the Gu’an station of Beijing-Xiong’an city railway is selected to research and finish the field tests; some findings are shown as follows: first, some valuable suggestions about the logistics scheduling (...)
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  69.  2
    Approximation-Based Fixed-Time Adaptive Tracking Control for a Class of Uncertain Nonlinear Pure-Feedback Systems.Cheng He, Jian Wu, Jiyang Dai, Zhe Zhang, Libin Xu & Pinwei Li - 2020 - Complexity 2020:1-17.
    This paper examines approximation-based fixed-time adaptive tracking control for a class of uncertain nonlinear pure-feedback systems. Novel virtual and actual controllers are designed that resolve the meaninglessness of virtual and actual controllers at the origin and in the negative domain, and the sufficient condition for the system to have semiglobal fixed-time stability is also provided. Radial basis function neural networks are introduced to approximate unknown functions for solving the fixed-time control problem of unknown nonlinear pure-feedback systems, and the mean value (...)
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  70.  3
    The Arcsine Exponentiated-X Family: Validation and Insurance Application.Wenjing He, Zubair Ahmad, Ahmed Z. Afify & Hafida Goual - 2020 - Complexity 2020:1-18.
    In this paper, we propose a family of heavy tailed distributions, by incorporating a trigonometric function called the arcsine exponentiated-X family of distributions. Based on the proposed approach, a three-parameter extension of the Weibull distribution called the arcsine exponentiated-Weibull distribution is studied in detail. Maximum likelihood is used to estimate the model parameters, and its performance is evaluated by two simulation studies. Actuarial measures including Value at Risk and Tail Value at Risk are derived for the ASE-W distribution. Furthermore, a (...)
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  71.  3
    Impact of Single and Combined Faults Composed of Rotor Eccentricity and Stator Interturn Short Circuit on Electromagnetic Torque Ripples in Synchronous Generator.Yu-Ling He, Zhi-Jie Zhang, Xiao-Long Wang, Peng Gao, David Gerada, Chris Gerada & Gaurang Vakil - 2020 - Complexity 2020:1-21.
    In order to comprehensively study and identify the electromagnetic torque difference among the single static air-gap eccentricity fault, the single stator interturn short circuit fault, and the combined fault composed of these two, this article investigates the EMT ripple properties due to the mentioned three faults. Different from other studies, this paper considers not only the effect of the single fault types but also the impact of the single fault combinations on the EMT ripple characteristics. Detailed EMT expressions for each (...)
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  72.  4
    Position Control of a Maglev System Fed by a DC/DC Buck Power Electronic Converter.Victor Manuel Hernández-Guzmán, Ramón Silva-Ortigoza & Magdalena Marciano-Melchor - 2020 - Complexity 2020:1-16.
    In this paper, we solve the problem of position regulation in a magnetic levitation system that is fed by a DC/DC Buck power electronic converter as a power amplifier. We present a formal asymptotic stability proof. Although this result is local, the merit of our proposal relies on the fact that this is the first time that such a control problem is solved for a magnetic levitation system, a nonlinear electromechanical plant. In this respect, we stress that most works in (...)
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  73.  2
    Two-Parameter Regularization Method for a Nonlinear Backward Heat Problem with a Conformable Derivative.Vu Ho, Donal O’Regan & Hoa Ngo Van - 2020 - Complexity 2020:1-15.
    In this paper, we consider the nonlinear inverse-time heat problem with a conformable derivative concerning the time variable. This problem is severely ill posed. A new method on the modified integral equation based on two regularization parameters is proposed to regularize this problem. Numerical results are presented to illustrate the efficiency of the proposed method.
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  74. Analyzing Interactions Between Japanese Ports and the Maritime Silk Road Based on Complex Networks.Zhi-Hua Hu, Chan-Juan Liu & Paul Tae-Woo Lee - 2020 - Complexity 2020:1-18.
    This article considers how the Japanese ports interact with the ports of China and along the 21st century Maritime Silk Road while they are embedded in the global port network, especially in the context of China’s Belt and Road Initiative. At a port level, it primarily uses connectivity analysis to analyze the port relations and significances in the maritime network. In contrast, at the network level, it applies the methods from network sciences to analyze the significances of these maritime networks (...)
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  75. Heterogeneous and Homogenous Multistabilities in a Novel 4D Memristor-Based Chaotic System with Discrete Bifurcation Diagrams.Lilian Huang, Wenju Yao, Jianhong Xiang & Zefeng Zhang - 2020 - Complexity 2020:1-15.
    In this paper, a new 4D memristor-based chaotic system is constructed by using a smooth flux-controlled memristor to replace a resistor in the realization circuit of a 3D chaotic system. Compared with general chaotic systems, the chaotic system can generate coexisting infinitely many attractors. The proposed chaotic system not only possesses heterogeneous multistability but also possesses homogenous multistability. When the parameters of system are fixed, the chaotic system only generates two kinds of chaotic attractors with different positions in a very (...)
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  76. An Intelligent Ship Image/Video Detection and Classification Method with Improved Regressive Deep Convolutional Neural Network.Zhijian Huang, Bowen Sui, Jiayi Wen & Guohe Jiang - 2020 - Complexity 2020:1-11.
    The shipping industry is developing towards intelligence rapidly. An accurate and fast method for ship image/video detection and classification is of great significance for not only the port management, but also the safe driving of Unmanned Surface Vehicle. Thus, this paper makes a self-built dataset for the ship image/video detection and classification, and its method based on an improved regressive deep convolutional neural network is presented. This method promotes the regressive convolutional neural network from four aspects. First, the feature extraction (...)
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  77.  4
    Coexisting Three-Scroll and Four-Scroll Chaotic Attractors in a Fractional-Order System by a Three-Scroll Integer-Order Memristive Chaotic System and Chaos Control.Xikui Hun & Ping Zhou - 2020 - Complexity 2020:1-7.
    Based on the integer-order memristive system that can generate two-scroll, three-scroll, and four-scroll chaotic attractors, in this paper, we found other phenomena that two kinds of three-scroll chaotic attractors coexist in this system with different initial conditions. Furthermore, we proposed a coexisting fractional-order system based on the three-scroll chaotic attractors system, in which the three-scroll or four-scroll chaotic attractors emerged with different fractional-orders q. Meanwhile, with fractional-order q=0.965 and different initial conditions, coexistence of two kinds of three-scroll and four-scroll chaotic (...)
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  78.  3
    Dynamical Analysis of Dual Product Information Diffusion Considering Preference in Complex Networks.Liang’an Huo & Xiaoxiao Xie - 2020 - Complexity 2020:1-9.
    With the development of science and technology, products are being updated more and more quickly. Therefore, the diffusion of product information can make people better choose products. It is very meaningful to study the competition and diffusion of multiple product information. In this paper, the dual product information diffusion model with preference was proposed based on the mean-field equation in complex networks. The dynamic of the model was analyzed by the analysis of Markov chains. According to the Monte Carlo simulation (...)
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  79.  1
    A Novel Design of a Neural Network-Based Fractional PID Controller for Mobile Robots Using Hybridized Fruit Fly and Particle Swarm Optimization.Ghusn Abdul Redha Ibraheem, Ahmad Taher Azar, Ibraheem Kasim Ibraheem & Amjad J. Humaidi - 2020 - Complexity 2020:1-18.
    The design of a swarm optimization-based fractional control for engineering application is an active research topic in the optimization analysis. This work offers the analysis, design, and simulation of a new neural network- based nonlinear fractional control structure. With suitable arrangements of the hidden layer neurons using nonlinear and linear activation functions in the hidden and output layers, respectively, and with appropriate connection weights between different hidden layer neurons, a new class of nonlinear neural fractional-order proportional integral derivative controller is (...)
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  80.  1
    On the Eccentric Connectivity Polynomial of ℱ-Sum of Connected Graphs.Muhammad Imran, Shehnaz Akhter & Zahid Iqbal - 2020 - Complexity 2020:1-9.
    The eccentric connectivity polynomial of a connected graph G=VG,EG is described as ξcG,y=∑a∈VGdegGayecGa, where ecGa and degGa represent the eccentricity and the degree of the vertex a, respectively. The eccentric connectivity index can also be acquired from ξcG,y by taking its first derivatives at y=1. The ECI has been widely used for analyzing both the boiling point and melting point for chemical compounds and medicinal drugs in QSPR/QSAR studies. As the extension of ECI, the ECP also performs a pivotal role (...)
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  81. A Dynamic Territorializing Approach for Multiagent Task Allocation.Mohammad Islam, Mehdi Dadvar & Hassan Zargarzadeh - 2020 - Complexity 2020:1-13.
    In this paper, we propose a dynamic territorializing approach for the problem of distributing tasks among a group of robots. We consider the scenario in which a task comprises two subtasks—detection and completion; two complementary teams of agents, hunters and gatherers, are assigned for the subtasks. Hunters are assigned with the task of exploring the environment, i.e., detection, whereas gatherers are assigned with the latter subtask. To minimize the workload among the gatherers, the proposed algorithm utilizes the center of mass (...)
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  82.  1
    Adaptive CNN Ensemble for Complex Multispectral Image Analysis.Syed Muslim Jameel, Manzoor Ahmed Hashmani, Mobashar Rehman & Arif Budiman - 2020 - Complexity 2020:1-21.
    Multispectral image classification has long been the domain of static learning with nonstationary input data assumption. The prevalence of Industrial Revolution 4.0 has led to the emergence to perform real-time analysis in an online learning scenario. Due to the complexities in online and time-series multispectral image analysis, there is a high occurrence probability in variations of spectral bands from an input stream, which deteriorates the classification performance or makes them ineffective. To highlight this critical issue, firstly, this study formulates the (...)
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  83.  1
    Capturing the Signature of Topological Evolution From the Snapshots of Road Networks.Gi Ung Jang, Jin Chul Joo & Jeryang Park - 2020 - Complexity 2020:1-14.
    Road networks serve as the backbone of cities, shaping urban structure as well as providing the critical function of transport for people, goods, and services. The design and management of resilient road infrastructure, therefore, is essential for building a sustainable city. Road networks grow and evolve over time, such that their topology shifts from an initially planned state to the one that emerges from self-organization and urban growth. In this work, we use a dual mapping approach to compare the topological (...)
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  84.  5
    Improved Pedestrian Positioning with Inertial Sensor Based on Adaptive Gradient Descent and Double-Constrained Extended Kalman Filter.Miaoxin Ji, Jinhao Liu, Xiangbo Xu, Yuyang Guo & Zhenchun Lu - 2020 - Complexity 2020:1-11.
    The Foot-mounted Inertial Pedestrian-Positioning System based on the Micro-Inertial Measurement Unit is a good choice for the forest fire fighters when the Global Navigation Satellite System is unavailable. Zero Velocity Update provides a solution for reducing cumulative positioning errors caused by the integral calculation of the inertial navigation. However, the performance of ZUPT is highly affected by the low accuracy and high noise of the MIMU. The accuracy of conventional ZUPT for attitude alignment is reduced by the zero offset of (...)
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  85.  3
    Linkboost: A Link Prediction Algorithm to Solve the Problem of Network Vulnerability in Cases Involving Incomplete Information.Chengfeng Jia, Jie Ma, Qi Liu, Yu Zhang & Hua Han - 2020 - Complexity 2020:1-14.
    The vulnerability of network information systems has attracted considerable research attention in various domains including financial networks, transportation networks, and infrastructure systems. To comprehensively investigate the network vulnerability, well-designed attack strategies are necessary. However, it is difficult to formulate a global attack strategy as the complete information of the network is usually unavailable. To overcome this limitation, this paper proposes a novel prediction algorithm named Linkboost, which, by predicting the hidden edges of the network, can complement the seemingly missing but (...)
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  86.  1
    Nonlinear Dynamics of a Power-Split Transmission Unit with a Planetary Gear Train and Selectable One-Way Clutches.Zhizhou Jia & Pingkang Li - 2020 - Complexity 2020:1-16.
    A Planetary Gear Train can be used in series-parallel transmission to redistribute powers. Selectable one-way clutches, compared with traditional friction clutches, can simplify controls and diversify patterns especially for hybrid transmissions. In this paper, a nonlinear torsional model of a power-split PGT coupled with three SOWCs is proposed. Piecewise nonlinearities of SOWCs as well as clearance, time-varying mesh stiffness, and synthetic transmission error of the PGT are considered. With a specified group of comprehensive evaluation indices, influences of piecewise nonlinearities of (...)
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  87.  2
    The D-Shadowing Property and Average Shadowing Property for Iterated Function Systems.Jie Jiang, Lidong Wang & Yingcui Zhao - 2020 - Complexity 2020:1-9.
    In this paper, we introduce the definitions of d¯-shadowing property, d¯-shadowing property, topological ergodicity, and strong ergodicity of iterated function systems IFSf0,f1. Then, we show the following: 1 if IFSf0,f1 has the d¯-shadowing property, then ℱk has the d¯-shadowing property for any k∈Z+; 2 if ℱk has the d¯-shadowing property for some k∈Z+, then IFSf0,f1 has the d¯-shadowing property ; 3 if IFSf0,f1 has the d¯-shadowing property or d¯-shadowing property, and f0 or f1 is surjective, then IFSf0,f1 is chain mixing; (...)
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  88.  4
    A Mode Selected Mixed Logic Dynamic Model and Model Predictive Control of Buck Converter.Lei Jiang, Enliang Liu & Ding Liu - 2020 - Complexity 2020:1-11.
    A Mixed Logic Dynamic model and control method based on mode selection are proposed for the Buck convertor. In establishing the hybrid system model, the factors such as the inductor current are neglected, and the Model Predictive Control is used to switch the most favorable working state of the control target. Since the modeling process ignores the inductance and current, it is necessary to convert the optimization prediction control resulting to avoid the problem that the model is inconsistent with the (...)
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  89.  1
    Depth Penetration and Scope Extension of Failures in the Cascading of Multilayer Networks.Wen-Jun Jiang, Run-Ran Liu & Chun-Xiao Jia - 2020 - Complexity 2020:1-11.
    Real-world complex systems always interact with each other, which causes these systems to collapse in an avalanche or cascading manner in the case of random failures or malicious attacks. The robustness of multilayer networks has attracted great interest, where the modeling and theoretical studies of which always rely on the concept of multilayer networks and percolation methods. A straightforward and tacit assumption is that the interdependence across network layers is strong, which means that a node will fail entirely with the (...)
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  90.  1
    Feedback Control of a Chaotic Finance System with Two Delays.Zhichao Jiang & Tongqian Zhang - 2020 - Complexity 2020:1-17.
    In this research, we use the double-delayed feedback control method in order to control chaos in a finance system. Taking delays as parameters, the dynamic behavior of the system is investigated. Firstly, we study the local stability of equilibrium and the existence of local Hopf bifurcations. It can find that the delays can make chaos disappear and generate a stable equilibrium or periodic solution, which means the effectiveness of DDFC method. By using the normal form theory and center manifold argument, (...)
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  91.  1
    Cognitive Network Science: A New Frontier.Yoed N. Kenett, Nicole M. Beckage, Cynthia S. Q. Siew & Dirk U. Wulff - 2020 - Complexity 2020:1-4.
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  92.  3
    Symmetry Breaking, Coexisting Bubbles, Multistability, and Its Control for a Simple Jerk System with Hyperbolic Tangent Nonlinearity.Léandre Kamdjeu Kengne, Jacques Kengne, Justin Roger Mboupda Pone & Hervé Thierry Kamdem Tagne - 2020 - Complexity 2020:1-24.
    Symmetry is an important property found in a large number of nonlinear systems. The study of chaotic systems with symmetry is well documented. However, the literature is unfortunately very poor concerning the dynamics of such systems when their symmetry is altered or broken. In this paper, we investigate the dynamics of a simple jerk system with hyperbolic tangent nonlinearity whose symmetry is broken by adding a constant term modeling an external excitation force. We demonstrate that the modified system experiences several (...)
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  93. An Analytical Investigation of Fractional-Order Biological Model Using an Innovative Technique.Hassan Khan, Adnan Khan, Maysaa Al Qurashi, Dumitru Baleanu & Rasool Shah - 2020 - Complexity 2020:1-13.
    In this paper, a new so-called iterative Laplace transform method is implemented to investigate the solution of certain important population models of noninteger order. The iterative procedure is combined effectively with Laplace transformation to develop the suggested methodology. The Caputo operator is applied to express the noninteger derivative of fractional order. The series form solution is obtained having components of convergent behavior toward the exact solution. For justification and verification of the present method, some illustrative examples are discussed. The closed (...)
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  94.  3
    The Emergence of Informative Higher Scales in Complex Networks.Brennan Klein & Erik Hoel - 2020 - Complexity 2020:1-12.
    The connectivity of a network contains information about the relationships between nodes, which can denote interactions, associations, or dependencies. We show that this information can be analyzed by measuring the uncertainty contained in paths along nodes and links in a network. Specifically, we derive from first principles a measure known as effective information and describe its behavior in common network models. Networks with higher effective information contain more information in the relationships between nodes. We show how subgraphs of nodes can (...)
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  95.  1
    Infinitely Many Coexisting Attractors in No-Equilibrium Chaotic System.Qiang Lai, Paul Didier Kamdem Kuate, Huiqin Pei & Hilaire Fotsin - 2020 - Complexity 2020:1-17.
    This paper proposes a new no-equilibrium chaotic system that has the ability to yield infinitely many coexisting hidden attractors. Dynamic behaviors of the system with respect to the parameters and initial conditions are numerically studied. It shows that the system has chaotic, quasiperiodic, and periodic motions for different parameters and coexists with a large number of hidden attractors for different initial conditions. The circuit and microcontroller implementations of the system are given for illustrating its physical meaning. Also, the synchronization conditions (...)
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  96. A Nonoscillatory Second-Order Time-Stepping Procedure for Reaction-Diffusion Equations.Philku Lee, George V. Popescu & Seongjai Kim - 2020 - Complexity 2020:1-15.
    After a theory of morphogenesis in chemical cells was introduced in the 1950s, much attention had been devoted to the numerical solution of reaction-diffusion partial differential equations. The Crank–Nicolson method has been a common second-order time-stepping procedure. However, the CN method may introduce spurious oscillations for nonsmooth data unless the time step size is sufficiently small. This article studies a nonoscillatory second-order time-stepping procedure for RD equations, called a variable-θmethod, as a perturbation of the CN method. In each time level, (...)
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  97.  1
    Predicting Metabolite-Disease Associations Based on Linear Neighborhood Similarity with Improved Bipartite Network Projection Algorithm.Xiujuan Lei & Cheng Zhang - 2020 - Complexity 2020:1-11.
    A large number of clinical observations have showed that metabolites are involved in a variety of important human diseases in the recent years. Nonetheless, the inherent noise and incompleteness in the existing biological datasets are tough factors which limit the prediction accuracy of current computational methods. To solve this problem, in this paper, a prediction method, IBNPLNSMDA, is proposed which uses the improved bipartite network projection method to predict latent metabolite-disease associations based on linear neighborhood similarity. Specifically, liner neighborhood similarity (...)
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  98.  5
    An Efficient and Cost-Effective Power Scheduling in Zero-Emission Ferry Ships.Armin Letafat, Mehdi Rafiei, Masoud Ardeshiri, Morteza Sheikh, Mohsen Banaei, Jalil Boudjadar & Mohammad Hassan Khooban - 2020 - Complexity 2020:1-12.
    Today’s remarkable challenge of maritime transportation industry is the detrimental contamination generation from fossil fuels. To tackle such a challenge and reduce the contribution into air pollution, different power solutions have been considered; among others, hybrid energy-based solutions are powering many ferry boats. This paper introduces an energy management strategy for a hybrid energy system of a ferry boat with the goal to optimize the performance and reduce the operation cost. HES considered for the ferry boat consists of different devices (...)
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  99.  1
    Dynamic Complexity of a Phytoplankton-Fish Model with the Impulsive Feedback Control by Means of Poincaré Map.Dezhao Li, Yu Liu & Huidong Cheng - 2020 - Complexity 2020:1-13.
    The phytoplankton-fish model for catching fish with impulsive feedback control is established in this paper. Firstly, the Poincaré map for the phytoplankton-fish model is defined, and the properties of monotonicity, continuity, differentiability, and fixed point of Poincaré map are analyzed. In particular, the continuous and discontinuous properties of Poincaré map under different conditions are discussed. Secondly, we conduct the analysis of the necessary and sufficient conditions for the existence, uniqueness, and global stability of the order-1 periodic solution of the phytoplankton-fish (...)
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  100.  2
    An Eco-Inefficiency Dominance Probability Approach for Chinese Banking Operations Based on Data Envelopment Analysis.Feng Li, Lunwen Wu, Qingyuan Zhu, Yanling Yu, Gang Kou & Yi Liao - 2020 - Complexity 2020:1-14.
    Data envelopment analysis has proven to be a powerful technique for assessing the relative performance of a set of homogeneous decision-making units. A critical feature of conventional DEA approaches is that only one or several sets of optimal virtual weights are used to aggregate the ratio performance efficiencies, and thus, the efficiency scores might be too extreme or even unrealistic. Alternatively, this paper aims at developing a new performance dominance probability approach and applying it to analyze the banking operations in (...)
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  101. Additive Eigenvalue Problems of the Laplace Operator with the Prescribed Contact Angle Boundary Condition.Hongmei Li & Peihe Wang - 2020 - Complexity 2020:1-7.
    Additive eigenvalue problem appears in ergodic optimal control or the homogenization of Hamilton–Jacobi equations. It has wide applications in several fields including computer science and then attracts the attention. In this paper, we consider the Poisson equations with the prescribed contact angle boundary condition and finally derive the existence and the uniqueness of the solution to the additive problem of the Laplace operator with the prescribed contact angle boundary condition.
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  102.  1
    Substantive Innovation or Strategic Innovation? Research on Multiplayer Stochastic Evolutionary Game Model and Simulation.Junqiang Li, Hao Ren, Changcheng Zhang, Qingxia Li & Kaifeng Duan - 2020 - Complexity 2020:1-15.
    Innovation subsidy is of great significance to promoting enterprise innovation development. However, in recent years, the frequent occurrence of R&D subsidy deception in China has greatly reduced effectiveness of innovation. From the perspective of the strategic choice motivation of the innovation subject, this paper constructs a multiplayer stochastic evolutionary game model. The influence of each variable on the subject strategy adoption is analyzed by simulation. There are two important findings in this paper. First, the paper confirms that there is an (...)
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  103.  4
    Synchronization Analysis of Complex Dynamical Networks Subject to Delayed Impulsive Disturbances.Mingyue Li, Huanzhen Chen & Xiaodi Li - 2020 - Complexity 2020:1-12.
    This paper studies the problem of leader-following synchronization for complex networks subject to delayed impulsive disturbances, where two kinds of time delays considered exist in internal complex networks and impulsive disturbances. Some delay-dependent sufficient criteria are derived in terms of linear matrix inequalities by using the delayed impulsive differential inequality method. Moreover, a feedback controller is designed to realize desired synchronization via the established LMIs. Our proposed results show that the requirements of impulse intervals and impulse sizes are dropped, and (...)
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  104.  3
    GLIDE: A Game Theory and Data-Driven Mimicking Linkage Intrusion Detection for Edge Computing Networks.Qianmu Li, Jun Hou, Shunmei Meng & Huaqiu Long - 2020 - Complexity 2020:1-18.
    The real-time and high-continuity requirements of the edge computing network gain more and more attention because of its active defence problem, that is, a data-driven complex problem. Due to the dual constraints of the hybrid feature of edge computing networks and the uncertainty of new attack features, implementing active defence measures such as detection, evasion, trap, and control is essential for the security protection of edge computing networks with high real-time and continuity requirements. The basic idea of safe active defence (...)
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  105. Research on the Complexity of Game Model About Recovery Pricing in Reverse Supply Chain Considering Fairness Concerns.Ting Li, Dongyun Yan & Shuxia Sui - 2020 - Complexity 2020:1-13.
    A reverse recycling supply chain consisting of two recyclers is established in this paper, which takes into account the fact that the recyclers will consider the issue of fair concern in pricing. The paper discusses the local stability of the Nash equilibrium point in this price game model showing that the fair concern factors will reduce the stable area of the system. The paper also discusses the impacts of the sensitivity of the recovery price and the price cross coefficient on (...)
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  106.  1
    Periodic Solution of a Neutral Delay Leslie Predator-Prey Model and the Effect of Random Perturbation on the Smith Growth Model.Tongtong Li & Wencai Zhao - 2020 - Complexity 2020:1-15.
    This paper puts forward a class of ratio-dependent Leslie predator-prey models. Firstly, a neutral delay predator-prey model with ratio dependence and impulse control is established and the existence of positive periodic solutions is proved by the coincidence degree theory. Secondly, a stochastic disturbance Leslie model of Smith growth is obtained when the interference of white noise is taken into consideration and the impact of delay is ignored. Applying Ito^’s formula, we get the conditions of system persistence and extinction. Finally we (...)
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  107.  1
    Hybrid Online and Offline Reinforcement Learning for Tibetan Jiu Chess.Xiali Li, Zhengyu Lv, Licheng Wu, Yue Zhao & Xiaona Xu - 2020 - Complexity 2020:1-11.
    In this study, hybrid state-action-reward-state-action and Q-learning algorithms are applied to different stages of an upper confidence bound applied to tree search for Tibetan Jiu chess. Q-learning is also used to update all the nodes on the search path when each game ends. A learning strategy that uses SARSAλ and Q-learning algorithms combining domain knowledge for a feedback function for layout and battle stages is proposed. An improved deep neural network based on ResNet18 is used for self-play training. Experimental results (...)
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  108.  4
    Game Modelling and Strategy Research on Trilateral Evolution for Coal-Mine Operational Safety Production System: A Simulation Approach.Yan Li, Yan Zhang, Haifeng Dai & Ziyan Zhao - 2020 - Complexity 2020:1-16.
    In view of the particularity and high risk of coal mining industry, the decision-making behavior of multiple agents inside the coal-mine enterprise plays a very important role in ensuring the safety and sustainable development of coal mining industry. The existing literature studies on coal-mine safety production focus mainly on statically analyzing the game among the external entities such as the government, the enterprises themselves, and the employees inside the enterprise from a macro perspective,are short of research on revealing the dynamic (...)
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  109.  1
    Robust Stabilization of Nonlinear Fractional Order Interconnected Systems Based on T-S Fuzzy Model.Yuting Li - 2020 - Complexity 2020:1-12.
    This paper concerns robust stabilization of nonlinear fractional order interconnected systems. Based on uncertain fractional order Takagi–Sugeno fuzzy model and the fractional order extension of lyapunov direct method, a parallel distributed compensate controller is designed to asymptotically stabilize the fractional order interconnected systems. Then, a sufficient condition is given in the format of linear matrix inequalities. Simulation example is given to validate the effectiveness of the approach.
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  110. An Anecdote of Investor Anxiety and Momentum in China.Hung-Wen Lin, Kun-Ben Lin, Jing-Bo Huang & Xia-Ping Cao - 2020 - Complexity 2020:1-21.
    We show the effect of investor anxiety on momentum in the Chinese stock market. In this market dominated by retail investors, we examine the momentum profits in 900 types of daily testing periods. We find prevalent price reversals in the long formation and holding periods in the Chinese A-share market. Compared to Goyal and Wahal, Wang and Xie, and Kang et al. who found no momentum, our novel finding from a daily basis is that the A-share market presents price momentum (...)
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  111.  4
    Passivity and Synchronization of Coupled Different Dimensional Delayed Reaction-Diffusion Neural Networks with Dirichlet Boundary Conditions.Shanrong Lin, Yanli Huang & Erfu Yang - 2020 - Complexity 2020:1-21.
    Two types of coupled different dimensional delayed reaction-diffusion neural network models without and with parametric uncertainties are analyzed in this paper. On the one hand, passivity and synchronization of the raised network model with certain parameters are studied through exploiting some inequality techniques and Lyapunov stability theory, and some adequate conditions are established. On the other hand, the problems of robust passivity and robust synchronization of CDDDRDNNs with parameter uncertainties are solved. Finally, two numerical examples are given to testify the (...)
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  112. Application of Taiwan’s Human Rights-Themed Cultural Assets and Spatial Information.Shuhui Lin - 2020 - Complexity 2020:1-11.
    Cultural assets preserve the traces of people’s life history around the world. With an understanding of the historical context and meaning of cultural assets, people would cherish their value and then adopt appropriate cultural resource preservation strategies. Human rights as the universal value refer to the inalienable and basic rights of human beings. This article uses the National Cultural Assets Network to query Taiwan’s human rights-themed cultural assets, and I apply the spatial information technology of the DocuSky digital humanities academic (...)
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  113. Nonsingular Fast Terminal Adaptive Neuro-Sliding Mode Control for Spacecraft Formation Flying Systems.Xiaohan Lin, Xiaoping Shi, Shilun Li, Sing Kiong Nguang & Liruo Zhang - 2020 - Complexity 2020:1-15.
    In this paper, a nonsingular fast terminal adaptive neurosliding mode control for spacecraft formation flying systems is investigated. First, a supertwisting disturbance observer is employed to estimate external disturbances in the system. Second, a fast nonsingular terminal sliding mode control law is proposed to guarantee the tracking errors of the spacecraft formation converge to zero in finite time. Third, for the unknown parts in the spacecraft formation flying dynamics, we proposed an adaptive neurosliding mode control law to compensate them. The (...)
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  114.  1
    A New Perspective to Algebraic Characterization on Controllability of Multiagent Systems.Bo Liu, Housheng Su, Licheng Wu & Shengchao He - 2020 - Complexity 2020:1-12.
    Recently, algebraic characterization of multiagent controllability through its topology has been widely concerned by the systems and control community. The controllability of leader-follower networked multiagent systems under the framework of generic linear dynamics is firstly discussed via λ-matrix. Some new algebra-theoretic necessary and/or sufficient conditions of the controllability for generic linear multiagent systems are established. Moreover, the controllable conditions for multiagent networks with special topological graphs through λ-matrix are presented.
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  115. On the Group Controllability of Leader-Based Continuous-Time Multiagent Systems.Bo Liu, Licheng Wu, Rong Li, Housheng Su & Yue Han - 2020 - Complexity 2020:1-11.
    The group controllability of continuous-time multiagent systems with multiple leaders is considered in this paper, where the entire group is compartmentalized into a few subgroups. The group controllability concept of continuous-time MASs with multiple leaders is put forward, and the group controllability criteria are obtained for switching and fixed topologies, respectively. Finally, the numerical simulations are given to prove the validity of the theoretical results.
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  116.  2
    New Stability Analysis Results for Linear System with Two Additive Time-Varying Delay Components.Haitao Liu & Fang Liu - 2020 - Complexity 2020:1-12.
    This paper focuses on the stability problems of continuous linear systems with two additive time-varying delay components. Firstly, an effective and simple Lyapunov–Krasovskii functional is established, which not only takes adequate information of delay components and their upper bounds into consideration but also establishes a simpler form to decrease the computational complexity. Secondly, an improved delay-dependent stability criterion together with its corollary is obtained by employing the generalized free-weighting-matrix-based inequality and some other techniques to calculate the derivative of the constructed (...)
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  117.  1
    Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph.Hanwen Liu, Huaizhen Kou, Chao Yan & Lianyong Qi - 2020 - Complexity 2020:1-15.
    Nowadays, scholar recommender systems often recommend academic papers based on users’ personalized retrieval demands. Typically, a recommender system analyzes the keywords typed by a user and then returns his or her preferred papers, in an efficient and economic manner. In practice, one paper often contains partial keywords that a user is interested in. Therefore, the recommender system needs to return the user a set of papers that collectively covers all the queried keywords. However, existing recommender systems only use the exact (...)
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  118.  1
    Corrigendum to “Pattern Formation in a Reaction-Diffusion Predator-Prey Model with Weak Allee Effect and Delay”.Hua Liu, Yong Ye, Yumei Wei, Weiyuan Ma, Ming Ma & Kai Zhang - 2020 - Complexity 2020:1-5.
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  119.  2
    Metric Dimension, Minimal Doubly Resolving Sets, and the Strong Metric Dimension for Jellyfish Graph and Cocktail Party Graph.Jia-Bao Liu, Ali Zafari & Hassan Zarei - 2020 - Complexity 2020:1-7.
    Let Γ be a simple connected undirected graph with vertex set VΓ and edge set EΓ. The metric dimension of a graph Γ is the least number of vertices in a set with the property that the list of distances from any vertex to those in the set uniquely identifies that vertex. For an ordered subset W=w1,w2,…,wk of vertices in a graph Γ and a vertex v of Γ, the metric representation of v with respect to W is the k-vector (...)
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  120. A New Numerical Approximation Method for Two-Dimensional Wave Equation with Neumann Damped Boundary.Jiankang Liu & Suying Zhang - 2020 - Complexity 2020:1-14.
    In this paper, a fully discretized finite difference scheme is derived for two-dimensional wave equation with damped Neumann boundary condition. By discrete energy method, the proposed difference scheme is proven to be of second-order convergence and of unconditional stability with respect to both initial conditions and right-hand term in a proper discretized L2 norm. The theoretical result is verified by a numerical experiment.
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  121.  1
    Multi-UUV Cooperative Dynamic Maneuver Decision-Making Algorithm Using Intuitionistic Fuzzy Game Theory.Lu Liu, Lichuan Zhang, Shuo Zhang & Sheng Cao - 2020 - Complexity 2020:1-11.
    In this paper, a multi-unmanned underwater vehicle cooperative dynamic maneuver decision-making algorithm is proposed based on the combination of game theory and intuitionistic fuzzy sets. Underwater environments with weak connectivity, underwater noise, and dynamic uncertainties are fully considered through intuitionistic fuzzy sets, which solves one of the main problems in making decisions underwater. Subsequently, the intuitionistic fuzzy multiattribute evaluation of a UUV maneuver strategy is conducted, and the intuitionistic fuzzy payment matrix of the cooperative dynamic maneuver game is obtained. Thereafter, (...)
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  122.  3
    Two New Conjugate Gradient Methods for Unconstrained Optimization.Meixing Liu, Guodong Ma & Jianghua Yin - 2020 - Complexity 2020:1-13.
    The conjugate gradient method is very effective in solving large-scale unconstrained optimal problems. In this paper, on the basis of the conjugate parameter of the conjugate descent method and the second inequality in the strong Wolfe line search, two new conjugate parameters are devised. Using the strong Wolfe line search to obtain the step lengths, two modified conjugate gradient methods are proposed for general unconstrained optimization. Under the standard assumptions, the two presented methods are proved to be sufficient descent and (...)
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  123.  4
    Time-Space Fractional Model for Complex Cylindrical Ion-Acoustic Waves in Ultrarelativistic Plasmas.Quansheng Liu & Liguo Chen - 2020 - Complexity 2020:1-16.
    In this paper, the fractional order models are used to study the propagation of ion-acoustic waves in ultrarelativistic plasmas in nonplanar geometry. Firstly, according to the control equations, -dimensional cylindrical Kadomtsev–Petviashvili equation and 2D cylindrical-modified Kadomtsev–Petviashvili equation are derived by using multiscale analysis and reduced perturbation methods. Secondly, using the semi-inverse method and the fractional variation principle, the abovementioned equations are derived the time-space fractional equations. Furthermore, based on the fractional order transformation, the 1-decay mode solution of the TSF-CKP equation (...)
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  124.  1
    Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams.Sanmin Liu, Shan Xue, Fanzhen Liu, Jieren Cheng, Xiulai Li, Chao Kong & Jia Wu - 2020 - Complexity 2020:1-12.
    Data stream classification becomes a promising prediction work with relevance to many practical environments. However, under the environment of concept drift and noise, the research of data stream classification faces lots of challenges. Hence, a new incremental ensemble model is presented for classifying nonstationary data streams with noise. Our approach integrates three strategies: incremental learning to monitor and adapt to concept drift; ensemble learning to improve model stability; and a microclustering procedure that distinguishes drift from noise and predicts the labels (...)
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  125. Families of Rational and Semirational Solutions of the Partial Reverse Space-Time Nonlocal Mel′Nikov Equation.Wei Liu, Zhenyun Qin, Kwok Wing Chow & Senyue Lou - 2020 - Complexity 2020:1-18.
    Exact periodic and localized solutions of a nonlocal Mel′nikov equation are derived by the Hirota bilinear method. Many conventional nonlocal operators involve integration over a spatial or temporal domain. However, the present class of nonlocal equations depends on properties at selected far field points which result in a potential satisfying parity time symmetry. The present system of nonlocal partial differential equations consists of two dependent variables in two spatial dimensions and time, where the dependent variables physically represent a wave packet (...)
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  126.  1
    Quantum-Based Feature Selection for Multiclassification Problem in Complex Systems with Edge Computing.Wenjie Liu, Junxiu Chen, Yuxiang Wang, Peipei Gao, Zhibin Lei & Xu Ma - 2020 - Complexity 2020:1-12.
    The complex systems with edge computing require a huge amount of multifeature data to extract appropriate insights for their decision making, so it is important to find a feasible feature selection method to improve the computational efficiency and save the resource consumption. In this paper, a quantum-based feature selection algorithm for the multiclassification problem, namely, QReliefF, is proposed, which can effectively reduce the complexity of algorithm and improve its computational efficiency. First, all features of each sample are encoded into a (...)
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  127.  2
    A Fractional-Order Discrete Noninvertible Map of Cubic Type: Dynamics, Control, and Synchronization.Xiaojun Liu, Ling Hong, Lixin Yang & Dafeng Tang - 2020 - Complexity 2020:1-21.
    In this paper, a new fractional-order discrete noninvertible map of cubic type is presented. Firstly, the stability of the equilibrium points for the map is examined. Secondly, the dynamics of the map with two different initial conditions is studied by numerical simulation when a parameter or a derivative order is varied. A series of attractors are displayed in various forms of periodic and chaotic ones. Furthermore, bifurcations with the simultaneous variation of both a parameter and the order are also analyzed (...)
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  128.  1
    Almost Disturbance Decoupling for a Class of Fractional-Order Nonlinear Systems with Zero Dynamics.Xiaoping Liu, Yajing Zhao, Caiyun Wang, Huanqing Wang & Yucheng Zhou - 2020 - Complexity 2020:1-13.
    The problem of almost disturbance decoupling is addressed for fractional-order nonlinear systems. A new definition for the norm is proposed to describe the effect of disturbances on the output tracking error for fractional-order systems. Based on the Lyapunov stability theory and the backstepping design method, a tracking controller is constructed to make the output tracking error converge to zero without external disturbances and to attenuate the effect of disturbances on the tracking error at zero initial conditions. In order to validate (...)
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  129. Finite-Time Synchronization for a Class of Multiweighted Complex Networks with Markovian Switching and Time-Varying Delay.Ying Liu, Fei Chen, Bin Yang, Xin Wang & Weiming Wang - 2020 - Complexity 2020:1-25.
    In this paper, we investigate the finite-time synchronization control for a class of nonlinear coupled multiweighted complex networks with Markovian switching and time-varying delay analytically and quantitatively. The value of this study lies in four aspects: First, it designs the finite-time synchronization controller to make the NCMWCNs with Markovian switching and time-varying delay achieve global synchronization in finite time. Second, it derives two kinds of finite-time estimation approaches by analyzing the impact of the nonlinearity of nonlinear coupled function on synchronization (...)
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  130. Decision Optimization of Low-Carbon Dual-Channel Supply Chain of Auto Parts Based on Smart City Architecture.Zheng Liu, Bin Hu, Bangtong Huang, Lingling Lang, Hangxin Guo & Yuanjun Zhao - 2020 - Complexity 2020:1-14.
    Affected by the Internet, computer, information technology, etc., building a smart city has become a key task of socialist construction work. The smart city has always regarded green and low-carbon development as one of the goals, and the carbon emissions of the auto parts industry cannot be ignored, so we should carry out energy conservation and emission reduction. With the rapid development of the domestic auto parts industry, the number of car ownership has increased dramatically, producing more and more CO2 (...)
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  131.  1
    A Coordination Mechanism of Supply Chain with a Retailer and Two Competitive Suppliers.Zhi-Yang Liu, Yong Liu & Hui Li - 2020 - Complexity 2020:1-14.
    To deal with coordination problem of a supply chain consisting of two competitive suppliers and a dominant retailer, considering these factors such as cooperation effort degrees and competition on the supply chain members, we establish a two-stage model considering cooperation effort degrees and competition of the suppliers from the perspectives of decentralized decision and centralized decision and exploit it to discuss the optional decisions and explore the impact of cooperation effort degrees on the profits of supply chain members. Then, we (...)
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  132. Stabilization of a Class of Complex Chaotic Systems by the Dynamic Feedback Control.Zhi Liu & Rongwei Guo - 2020 - Complexity 2020:1-10.
    The stabilization problem of the complex chaotic system is investigated in this paper. First, a systematic method is proposed, by which a given complex chaotic system can be transformed into its equivalent real chaotic system. Then, both simple and physical controller is designed for the corresponding real chaotic system by the dynamic feedback control method, thereby the controller for the original complex chaotic system is obtained. Especially, for some complex system, the controller is obtained by the linear feedback control method. (...)
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  133.  2
    Production Decision and Coordination Mechanism of Socially Responsible Closed-Loop Supply Chain.Xiaofeng Long, Jiali Ge, Tong Shu & Chunxia Liu - 2020 - Complexity 2020:1-10.
    Corporate social responsibility has a significant impact on the operation of enterprises. This study analyzes the production and coordination decisions of closed-loop supply chain by establishing two assumptions of endogenous and exogenous CSR. The results reveal that, for ordinary consumers, CSR is quantified as the parameter of consumer surplus, which has an impact on the patent licensing fee, revenue-sharing ratio, and so on, and which not only increases the sales quantity in CLSC but also creates more value for the manufacturer (...)
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  134.  4
    Improved Distributed Event-Triggered Control for Networked Control System Under Random Cyberattacks Via Bessel–Legendre Inequalities.Hongqian Lu, Chaoqun Guo, Yue Hu, Wuneng Zhou & Shihao Yan - 2020 - Complexity 2020:1-14.
    The stability problem of networked control system with cyberattacks and processing delay is considered under an event-triggered scheme. An improved distributed event-triggered mechanism is proposed, which optimizes the performance of system dynamics and decreases the network transmission load simultaneously. By means of Bessel–Legendre inequality method and constructing an active Lyapunov–Krasovskii functional, a series of larger upper bounds of delay are obtained corresponding to the order of N. It is worth mentioning that the upper bound increases with N, which means that (...)
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  135.  1
    Supply Chain Flexibility Evaluation Based on Matter-Element Extension.Xiaochun Luo, Zilong Wang, Lin Lu & Yan Guan - 2020 - Complexity 2020:1-12.
    Flexibility is an important indicator to consider the uncertain information processing ability of the supply chain comprehensively. It is a powerful way to improve the efficiency and quality of supply chain operation by evaluating the level of supply chain flexibility effectively. The traditional method is used to decompose the supply chain flexibility evaluation indicators from the perspective of system structure or cost saving, but these indicators cannot truly describe the dynamics of the supply chain operation. Otherwise, supply chain flexibility evaluation (...)
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  136.  1
    Weight Least Squares Algorithm for Rational Models with Outliers.Lixin Lv & Donglei Lu - 2020 - Complexity 2020:1-7.
    A weight least squares algorithm is developed for rational models with outliers in this paper. Different weights are assigned for each cost function, and by calculating the derivatives of these cost functions, the parameter estimates can be estimated. Compared with the traditional least squares algorithm, the proposed algorithm can remove the bad effect caused by the outliers, thus has more accurate parameter estimates. A simulation example is proposed to validate the effectiveness of the proposed algorithm.
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  137. Multiple Positive Solutions for a System of Caputo Fractional P-Laplacian Boundary Value Problems.Zhi-Wei Lv, Jie Liu & Jiafa Xu - 2020 - Complexity 2020:1-11.
    In this work, we are pleased to investigate multiple positive solutions for a system of Caputo fractional p-Laplacian boundary value problems, and we also provide an example for illustrating our main results.
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  138.  1
    Active Fault Tolerance Control Based on Consistent Matrix for Multimotor Synchronous System.Haijie Mao, Wei Li, Xiaolin Feng & Haochuan Zhang - 2020 - Complexity 2020:1-11.
    This paper presents an active fault-tolerant method to mitigate sensor failures in multimotor synchronous control. First, inspired by the construction of the coupling matrix in complex network synchronous output, a consistent matrix is designed based on structural redundancy in synchronous control. This consistent matrix has two advantages: one is that it can reflect different sensor output similarities and the other one is that it can detect, locate, and estimate the sensor fault. Then, the fault information is integrated into the design (...)
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  139. Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks.Muhammad Mateen, Junhao Wen, Nasrullah Nasrullah, Song Sun & Shaukat Hayat - 2020 - Complexity 2020:1-11.
    In the field of ophthalmology, diabetic retinopathy is a major cause of blindness. DR is based on retinal lesions including exudate. Exudates have been found to be one of the signs and serious DR anomalies, so the proper detection of these lesions and the treatment should be done immediately to prevent loss of vision. In this paper, pretrained convolutional neural network- based framework has been proposed for the detection of exudate. Recently, deep CNNs were individually applied to solve the specific (...)
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  140. From Topic Networks to Distributed Cognitive Maps: Zipfian Topic Universes in the Area of Volunteered Geographic Information.Alexander Mehler, Rüdiger Gleim, Regina Gaitsch, Wahed Hemati & Tolga Uslu - 2020 - Complexity 2020:1-47.
    Are nearby places described by related words? In this article, we transfer this research question in the field of lexical encoding of geographic information onto the level of intertextuality. To this end, we explore Volunteered Geographic Information to model texts addressing places at the level of cities or regions with the help of so-called topic networks. This is done to examine how language encodes and networks geographic information on the aboutness level of texts. Our hypothesis is that the networked thematizations (...)
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  141. New Interaction Solutions for a (2 + 1)-Dimensional Vakhnenko Equation.Qing Meng & Bin He - 2020 - Complexity 2020:1-9.
    In this paper, we focus on the interaction solutions of a -dimensional Vakhnenko equation. By using Hirota’s transformation combined with the three-wave method and with symbolic computation, some interaction solutions which include interaction solutions between exponential and trigonometric functions and interaction solutions between exponential and trigonometric and hyperbolic functions are presented.
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  142.  2
    Global Existence of Solutions for the Viscoelastic Kirchhoff Equation with Logarithmic Source Terms.Nadia Mezouar, Salah Mahmoud Boulaaras & Ali Allahem - 2020 - Complexity 2020:1-25.
    In this paper, a nonlinear viscoelastic Kirchhoff equation in a bounded domain with a time-varying delay term and logarithmic nonlinearity in the weakly nonlinear internal feedback is considered, where the global and local existence of solutions in suitable Sobolev spaces by means of the energy method combined with Faedo-Galerkin procedure is proved with respect to the condition of the weight of the delay term in the feedback and the weight of the term without delay and the speed of delay. Furthermore, (...)
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  143.  2
    Global Existence and Decay of Solutions for Coupled Nondegenerate Kirchhoff System with a Time Varying Delay Term.Nadia Mezouar, Salah Mahmoud Boulaaras, Sultan Alodhaibi & Salem Alkhalaf - 2020 - Complexity 2020:1-20.
    This paper deals with the global existence of solutions in a bounded domain for nonlinear viscoelastic Kirchhoff system with a time varying delay by using the energy and Faedo–Galerkin method with respect to the delay term weight condition in the feedback and the delay speed. Furthermore, by using some convex functions properties, we prove a uniform stability estimate.
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  144. Analysis, Synchronization, and Robotic Application of a Modified Hyperjerk Chaotic System.Lazaros Moysis, Eleftherios Petavratzis, Muhammad Marwan, Christos Volos, Hector Nistazakis & Salman Ahmad - 2020 - Complexity 2020:1-15.
    In this work, a novel hyperjerk system, with hyperbolic sine function as the only nonlinear term, is proposed, as a modification of a hyperjerk system proposed by Leutcho et al. First, a dynamical analysis on the system is performed and interesting phenomena concerning chaos theory, such as route to chaos, antimonotonicity, crisis, and coexisting attractors, are studied. For this reason, the system’s bifurcation diagrams with respect to different parameter values are plotted and its Lyapunov exponents are computed. Afterwards, the synchronization (...)
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  145. Predicting Excavation-Induced Tunnel Response by Process-Based Modelling.Linlong Mu, Jianhong Lin, Zhenhao Shi & Xingyu Kang - 2020 - Complexity 2020:1-11.
    Potential damages to existing tunnels represent a major concern for constructing deep excavations in urban areas. The uncertainty of subsurface conditions and the nonlinear interactions between multiple agents make the prediction of the response of tunnel induced by adjacent excavations a rather difficult and complex task. This paper proposes an initiative to solve this problem by using process-based modelling, where information generated from the interaction processes between soils, structures, and excavation activities is utilized to gradually reduce uncertainty related to soil (...)
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  146. Treatment a New Approximation Method and Its Justification for Sturm–Liouville Problems.O. Sh Mukhtarov, M. Yücel & K. Aydemir - 2020 - Complexity 2020:1-8.
    In this paper, we propose a new approximation method, which differs from the traditional differential transform method in calculating the coefficients of Taylor polynomials. Numerical examples are presented to illustrate the efficiency and reliability of our own method. Namely, two Sturm–Liouville problems are solved by the present α-parameterized differential transform method, and the obtained results are compared with those obtained by the classical DTM and by the analytical method. The result reveals that α-parameterized differential transform method is a simple and (...)
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  147. Extension of Optimal Homotopy Asymptotic Method with Use of Daftardar–Jeffery Polynomials to Coupled Nonlinear-Korteweg-De-Vries System.Rashid Nawaz, Zawar Hussain, Abraiz Khattak & Adam Khan - 2020 - Complexity 2020:1-6.
    In this paper, Daftardar–Jeffery Polynomials are introduced in the Optimal Homotopy Asymptotic Method for solution of a coupled system of nonlinear partial differential equations. The coupled nonlinear KdV system is taken as test example. The results obtained by the proposed method are compared with the multistage Optimal Homotopy Asymptotic Method. The results show the efficiency and consistency of the proposed method over the Optimal Homotopy Asymptotic Method. In addition, accuracy of the proposed method can be improved by taking higher order (...)
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  148. Disturbance Observer-Based Continuous Finite-Time Sliding Mode Control Against Matched and Mismatched Disturbances.Ngo Phong Nguyen, Hyondong Oh, Yoonsoo Kim & Jun Moon - 2020 - Complexity 2020:1-14.
    In this paper, we propose the disturbance observer-based continuous finite-time sliding mode controller for input-affine nonlinear systems in which additive matched and mismatched disturbances exist. The objective is to show the robustness and disturbance attenuation performance of the closed-loop system with the proposed DOBCSMC subjected to general classes of matched and mismatched disturbances. The proposed DOBCSMC consists of three main features: the nonlinear finite-time disturbance observer to obtain a fast and accurate estimation of matched and mismatched disturbances, the nonlinear sliding (...)
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  149.  1
    Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya.Yashon O. Ouma, Clinton O. Okuku & Evalyne N. Njau - 2020 - Complexity 2020:1-23.
    The process of predicting water quality over a catchment area is complex due to the inherently nonlinear interactions between the water quality parameters and their temporal and spatial variability. The empirical, conceptual, and physical distributed models for the simulation of hydrological interactions may not adequately represent the nonlinear dynamics in the process of water quality prediction, especially in watersheds with scarce water quality monitoring networks. To overcome the lack of data in water quality monitoring and prediction, this paper presents an (...)
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  150.  1
    Network and Agent Dynamics with Evolving Protection Against Systemic Risk.Chulwook Park - 2020 - Complexity 2020:1-16.
    The dynamics of protection processes has been a fundamental challenge in systemic risk analysis. The conceptual principle and methodological techniques behind the mechanisms involved have been harder to grasp than researchers understood them to be. In this paper, we show how to construct a large variety of behaviors by applying a simple algorithm to networked agents, which could, conceivably, offer a straightforward way out of the complexity. The model starts with the probability that systemic risk spreads. Even in a very (...)
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  151.  3
    Energy- and Resource-Aware Computation Offloading for Complex Tasks in Edge Environment.Kai Peng, Bohai Zhao, Shengjun Xue & Qingjia Huang - 2020 - Complexity 2020:1-14.
    Mobile users typically have a series of complex tasks consisting of time-constrained workflows and concurrent workflows that need to be processed. However, these tasks cannot be performed directly locally due to resource limitations of the mobile terminal, especially for battery life. Fortunately, mobile edge computing has been recognized as a promising technology which brings abundant resource at the edge of mobile network enabling mobile devices to overcome the resource and capacity constraints. However, edge servers, such as cloudlets, are heterogeneous and (...)
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  152.  5
    Application of Soft Computing Techniques for the Analysis of Tractive Properties of a Low-Power Agricultural Tractor Under Various Soil Conditions.Katarzyna Pentoś, Krzysztof Pieczarka & Krzysztof Lejman - 2020 - Complexity 2020:1-11.
    Considering the fuel consumption and soil compaction, optimization of the performance of tractors is crucial for modern agricultural practices. The tractive performance is influenced by many factors, making it difficult to be modeled. In this work, the traction force and tractive efficiency of a low-power tractor, as affected by soil coefficient, vertical load, horizontal deformation, soil compaction, and soil moisture, were studied. The optimal work of a tractor is a compromise between the maximum traction force and the maximum tractive efficiency. (...)
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  153.  1
    Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy.Fabio Pisano, Giuliana Sias, Alessandra Fanni, Barbara Cannas, António Dourado, Barbara Pisano & Cesar A. Teixeira - 2020 - Complexity 2020:1-10.
    The Nocturnal Frontal Lobe Epilepsy is a form of epilepsy in which seizures occur predominantly during sleep. In other forms of epilepsy, the commonly used clinical approach mainly involves manual inspection of encephalography signals, a laborious and time-consuming process which often requires the contribution of more than one experienced neurologist. In the last decades, numerous approaches to automate this detection have been proposed and, more recently, machine learning has shown very promising performance. In this paper, an original Convolutional Neural Network (...)
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  154.  1
    Monetary Incentives in Italian Public Administration: A Stimulus for Employees? An Agent-Based Approach.Linda Ponta, Gian Carlo Cainarca & Silvano Cincotti - 2020 - Complexity 2020:1-13.
    The paper, focusing on the context of Public Administration, addresses the effects of monetary incentives in employees’ performance. In the Italian PA, the monetary incentives are distributed according to the D.L.150/09 which is based on the rank order tournament. The paper investigates if this mechanism has positive and sustainable impacts on the employees’ performance in the short, middle, and long term. The employees’ performance has been modeled as a function of ability and motivation. The results of the computational experiments show (...)
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  155.  2
    A Closed-Loop Brain Stimulation Control System Design Based on Brain-Machine Interface for Epilepsy.Moshu Qian, Guanghua Zhong, Xinggang Yan, Heyuan Wang & Yang Cui - 2020 - Complexity 2020:1-15.
    In this study, a closed-loop brain stimulation control system scheme for epilepsy seizure abatement is designed by brain-machine interface technique. In the controller design process, the practical parametric uncertainties involving cerebral blood flow, glucose metabolism, blood oxygen level dependence, and electromagnetic disturbances in signal control are considered. An appropriate transformation is introduced to express the system in regular form for design and analysis. Then, sufficient conditions are developed such that the sliding motion is asymptotically stable. Combining Caputo fractional order definition (...)
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  156. Reliability Modeling for Multistate System with Preventive Maintenance Under Customer Demand.Jinlei Qin & Zheng Li - 2020 - Complexity 2020:1-9.
    The performance level of a multistate system can vary among different values rather than only two states. To improve the reliability of MSSs, a maintenance strategy has been adopted to satisfy customer demand, and reliability modeling of MSS with preventive maintenance and customer demand is proposed. According to the regular degradation and random failure at each state, based on the Markov random process, the proposed MSS with preventive maintenance can be modeled to satisfy the customer demand in a specific state. (...)
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  157.  4
    Linguistic Interval-Valued Intuitionistic Fuzzy Archimedean Power Muirhead Mean Operators for Multiattribute Group Decision-Making.Yuchu Qin, Xiaolan Cui, Meifa Huang, Yanru Zhong, Zhemin Tang & Peizhi Shi - 2020 - Complexity 2020:1-28.
    Two important tasks in multiattribute group decision-making are to describe the attribute values and to generate a ranking of all alternatives. A superior tool for the first task is linguistic interval-valued intuitionistic fuzzy number, and an effective tool for the second task is aggregation operator. To date, nearly ten AOs of LIVIFNs have been presented. Each AO has its own features and can work well in its specific context. But there is not yet an AO of LIVIFNs that can offer (...)
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  158. A Session-Based Song Recommendation Approach Involving User Characterization Along the Play Power-Law Distribution.Diego Sánchez-Moreno, Vivian F. López Batista, M. Dolores Muñoz Vicente, Ana B. Gil González & María N. Moreno-García - 2020 - Complexity 2020:1-13.
    In recent years, streaming music platforms have become very popular mainly due to the huge number of songs these systems make available to users. This enormous availability means that recommendation mechanisms that help users to select the music they like need to be incorporated. However, developing reliable recommender systems in the music field involves dealing with many problems, some of which are generic and widely studied in the literature while others are specific to this application domain and are therefore less (...)
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  159.  1
    An Agent-Based Model of Opinion Polarization Driven by Emotions.Frank Schweitzer, Tamas Krivachy & David Garcia - 2020 - Complexity 2020:1-11.
    We provide an agent-based model to explain the emergence of collective opinions not based on feedback between different opinions, but based on emotional interactions between agents. The driving variable is the emotional state of agents, characterized by their valence, quantifying the emotion from unpleasant to pleasant, and their arousal, quantifying the degree of activity associated with the emotion. Both determine their emotional expression, from which collective emotional information is generated. This information feeds back on the dynamics of emotional states and (...)
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  160. Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets Via Full-Scale Testing.Yun-Ho Seo, Moo Sung Ryu & Ki-Yong Oh - 2020 - Complexity 2020:1-16.
    The dynamic characteristics of an offshore wind turbine with tripod suction buckets are investigated through finite element analysis and full-scale experiments. In finite element analysis, an integrated framework is suggested to create a simple yet accurate high fidelity model. The integrated framework accounts for not only the strain dependency of the soil but also for all dynamics in the seabed, including those of the soil, suction bucket skirt, and cap. Hence, the model accurately describes the coupling effect of translational and (...)
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  161. Orthopedic Boot-Tree 3D Design by Means of the Integral Curves of Solutions of Differential Equations.Merab Shalamberidze, Zaza Sokhadze & Malvina Tatvidze - 2020 - Complexity 2020:1-6.
    For the preparation of orthopedic shoes, it is necessary to design boot-trees, where pathological abnormalities of club feet are taken into account as much as possible. For the normal functioning of the club foot, we have to develop such an internal shape of special-purpose footwear, which is comfortable for the patient. This paper describes the methods and issues of the 3D design for constructing the geometric shapes of the main cross sections of the orthopedic boot-tree. In the research process, the (...)
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  162.  1
    Quantized Dissipative Observer-Based Output Feedback Control for a Class of Markovian Descriptor Jump Systems with Communication Delay.Muhammad Shamrooz Aslam & Xisheng Dai - 2020 - Complexity 2020:1-16.
    This paper investigates the problem of quantized dissipative observer-based output feedback control of Markovian descriptor jump systems with unavailable states, appearing networked-induced delay. The descriptor systems are presented as Markovian jump systems which give a more realistic presentation for a variety of nonlinear dynamical systems than conventional state-space representation. To accomplish the objective, a uniform framework is employed to design the delayed Markov observer-based controller and event-triggered scheme. Additionally, we provided the ℋ∞ and ℒ2-ℒ∞ and dissipative performance indices which are (...)
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  163.  1
    Abundant Symmetry-Breaking Solutions of the Nonlocal Alice–Bob Benjamin–Ono System.Wang Shen, Zheng-Yi Ma, Jin-Xi Fei, Quan-Yong Zhu & Jun-Chao Chen - 2020 - Complexity 2020:1-12.
    The Benjamin–Ono equation is a useful model to describe the long internal gravity waves in deep stratified fluids. In this paper, the nonlocal Alice–Bob Benjamin–Ono system is induced via the parity and time-reversal symmetry reduction. By introducing an extended Bäcklund transformation, the symmetry-breaking soliton, breather, and lump solutions for this system are obtained through the derived Hirota bilinear form. By taking suitable constants in the involved ansatz functions, abundant fascinating symmetry-breaking structures of the related explicit solutions are shown.
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  164. Evolution of the Complex Partnerships Between Banks and B2B E-Trading Platforms: A Theoretical Interpretation From the Chinese Market.Jinzhao Shi, Ju’E. Guo, Qiang Du, Libiao Bai, Yi Li, Wenjun Yan & Kin Keung Lai - 2020 - Complexity 2020:1-14.
    Based on the principal-agent theory, we give a theoretical interpretation on evolution of the complex partnerships between the online SCF providers in China. First, we describe the principal-agent relationships and analyze the optimal profit-sharing contracts between the banks and the B2B platforms. Then, from a dual perspective of leadership transfer and absolute benefit change, we explain the behavioral choices of the banks in the cooperation. Results show that, at the initial stage of growth of the platforms’ abilities to rate online (...)
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  165.  3
    Poincaré Map Approach to Global Dynamics of the Integrated Pest Management Prey-Predator Model.Zhenzhen Shi, Qingjian Li, Weiming Li & Huidong Cheng - 2020 - Complexity 2020:1-12.
    An integrated pest management prey-predator model with ratio-dependent and impulsive feedback control is investigated in this paper. Firstly, we determine the Poincaré map which is defined on the phase set and discuss its main properties including monotonicity, continuity, and discontinuity. Secondly, the existence and stability of the boundary order-one periodic solution are proved by the method of Poincaré map. According to the Poincaré map and related differential equation theory, the conditions of the existence and global stability of the order-one periodic (...)
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  166. The Influence of Interlocking Directorates on the Propensity of Dividend Payout to the Parent Company.Dariusz Siudak - 2020 - Complexity 2020:1-16.
    An examination was performed on whether director interlocks enabled the adoption of a dividend policy for the benefit of the parent company in the ownership structure. Specifically, the study investigated the dependence of the impact of the central position in the board network on the probability of dividend payment. Based on sample of firms listed on Polish capital market, it was observed that the more central the company’s position in the interlocking directorate network, the more likely it is to pay (...)
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  167. Mathematical Model Analysis and Simulation of Visceral Leishmaniasis, Kashgar, Xinjiang, 2004–2016.Yateng Song, Tailei Zhang, Hui Li, Kai Wang & Xiaobo Lu - 2020 - Complexity 2020:1-14.
    Visceral leishmaniasis, known as kala-azar, is a serious parasitic disease. After malaria, VL is the second largest parasitic killer. This paper focuses on the VL transmission around sandflies, dogs, and people. Kashgar is located on the southwestern edge of Xinjiang, where kala-azar parasite infection occurs every year. According to the cases reported in the Kashgar Prefecture from 2004 to 2016, we proposed a dynamic model based on these three populations. The SEIR model was established for human population, the SI model (...)
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  168.  2
    Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework.Yongchao Song, Jieru Yao, Yongfeng Ju, Yahong Jiang & Kai Du - 2020 - Complexity 2020:1-17.
    In order to solve the problems of traffic object detection, fuzzification, and simplification in real traffic environment, an automatic detection and classification algorithm for roads, vehicles, and pedestrians with multiple traffic objects under the same framework is proposed. We construct the final V view through a considerate U-V view method, which determines the location of the horizon and the initial contour of the road. Road detection results are obtained through error label reclassification, omitting point reassignment, and so an. We propose (...)
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  169. An Analysis of the Allometric and Multifractal Features of a Development in the Urban-Rural Area in the Lower Reaches of the Yangtze River: 2012 Cross-Sectional Data of Four Provinces and One City.Zhi-jun Song, Yi Chen, Yun Li & Xin Zhao - 2020 - Complexity 2020:1-19.
    The provinces of Jiangsu, Anhui, Jiangxi, and Zhejiang and the city of Shanghai in the lower reaches of the Yangtze River forming a concentrated distribution area of developed cities and rich villages in China are so called “the four provinces and one city,” which have experienced rapid and typical urban-rural development. By drawing on the perspective of allometric growth, this paper conducts fundamental analysis and multifractal analysis of 52 prefecture-level cities in four provinces and one city in the lower reaches (...)
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  170.  4
    A Novel Fast Convergence Control Scheme for a Class of 3D Chaotic Systems with Uncertain Parameters and External Disturbances.Haipeng Su, Runzi Luo, Ling Xu, Meichun Huang & Jiaojiao Fu - 2020 - Complexity 2020:1-9.
    This paper studies the control of a class of 3D chaotic systems with uncertain parameters and external disturbances. A new method which is referred as the analytical solution approach is firstly proposed for constructing Lyapunov function. Then, for suppressing the trajectories of the 3D chaotic system to its equilibrium point 00,0,0, a novel fast convergence controller containing parameter λ which determines the convergence rate of the system is presented. By using the designed Lyapunov function, the stability of the closed-loop system (...)
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  171.  1
    A Model and Complexity Analysis of the Relationship Based on Organizational Justice and Embeddedness Theories.Xin Su, Hui Zhang & Shubing Guo - 2020 - Complexity 2020:1-16.
    In capable person governing agricultural cooperatives, the internal governance is essential for cooperatives to achieve sustainable development. As an important mechanism of cooperative internal governance, relational governance is the focus of the current research in the field of cooperative internal governance. Based on the theory of organizational justice, relational embeddedness theory, and relational governance theory, this paper constructs the relationship between interactive justice, relational embeddedness, and governance performance based on fuzzy cognitive map and discusses the influence mechanism of interactive justice (...)
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  172. Simulation Analysis of Knowledge Transfer in a Knowledge Alliance Based on a Circular Surface Radiator Model.Yi Su & Tianchi Li - 2020 - Complexity 2020:1-27.
    Based on the theory of acoustic waves, a circular surface radiator model is introduced as a basis for constructing a knowledge transfer model for a knowledge alliance. The three main variables in the model are chosen to be the number of enterprises in knowledge alliance, the frequency of knowledge transfer, and the relationship distances between the knowledge bodies. The internal mechanism of knowledge transfer in a knowledge alliance is studied, and the direct relationships among the internal influencing factors are explored. (...)
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  173. Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model.Bei Sun, Xue Zhang & Marco Tosato - 2020 - Complexity 2020:1-14.
    As both ticks and hosts may carry one or more pathogens, the phenomenon of coinfection of multiple tick-borne diseases becomes highly relevant and plays a key role in tick-borne disease transmission. In this paper, we propose a coinfection model involving two tick-borne diseases in a tick-host population and calculate the basic reproduction numbers at the disease-free equilibrium and two boundary equilibria. To explore the impact of coinfection, we also derive the invasion reproduction numbers which indicate the potential of a pathogen (...)
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  174. An Entropy-Based Self-Adaptive Node Importance Evaluation Method for Complex Networks.Qibo Sun, Guoyu Yang & Ao Zhou - 2020 - Complexity 2020:1-13.
    Identifying important nodes in complex networks is essential in disease transmission control, network attack protection, and valuable information detection. Many evaluation indicators, such as degree centrality, betweenness centrality, and closeness centrality, have been proposed to identify important nodes. Some researchers assign different weight to different indicator and combine them together to obtain the final evaluation results. However, the weight is usually subjectively assigned based on the researcher’s experience, which may lead to inaccurate results. In this paper, we propose an entropy-based (...)
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  175.  5
    Moving Vehicle Detection and Tracking Based on Optical Flow Method and Immune Particle Filter Under Complex Transportation Environments.Wei Sun, Min Sun, Xiaorui Zhang & Mian Li - 2020 - Complexity 2020:1-15.
    Video-based moving vehicle detection and tracking is an important prerequisite for vehicle counting under complex transportation environments. However, in the complex natural scene, the conventional optical flow method cannot accurately detect the boundary of the moving vehicle due to the generation of the shadow. In addition, traditional vehicle tracking algorithms are often occluded by trees, buildings, etc., and particle filters are also susceptible to particle degradation. To solve this problem, this paper proposes a kind of moving vehicle detection and tracking (...)
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  176.  5
    Global Synchronization of Reaction-Diffusion Fractional-Order Memristive Neural Networks with Time Delay and Unknown Parameters.Wenjiao Sun, Guojian Ren, Yongguang Yu & Xudong Hai - 2020 - Complexity 2020:1-14.
    This paper investigated the global synchronization of fractional-order memristive neural networks. To deal with the effect of reaction-diffusion and time delay, fractional partial and comparison theorem are introduced. Based on the set value mapping theory and Filippov solution, the activation function is extended to discontinuous case. Adaptive controllers with a compensator are designed owing to the existence of unknown parameters, with the help of Gronwall–Bellman inequality. Numerical simulation examples demonstrate the availability of the theoretical results.
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  177.  1
    Event-Based Consensus for General Linear Multiagent Systems Under Switching Topologies.Yinshuang Sun, Zhijian Ji & Kaien Liu - 2020 - Complexity 2020:1-14.
    In this paper, event-triggered leader-following consensus of general linear multiagent systems under both fixed topology and switching topologies is studied. First, centralised and decentralised event-triggered control strategies based on neighbors’ state estimation are proposed under fixed topology, in which the controller is only updated at the time of triggering. Obviously, compared with the continuous time control algorithms, the event-triggered control strategies can reduce the communication frequency among agents effectively. Meanwhile, event-triggering conditions are derived for systems to achieve consensus by using (...)
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  178. Applications of Machine Learning Methods in Complex Economics and Financial Networks.Benjamin M. Tabak, Thiago C. Silva, Liang Zhao & Ahmet Sensoy - 2020 - Complexity 2020:1-2.
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  179.  2
    The Electric Field Calculation for Mobile Communication Coverage in Buildings and Indoor Areas by Using the Method of Auxiliary Sources.Vasil Tabatadze, Kamil Karaçuha, Eldar Veliyev, Ertuğrul Karaçuha & Revaz Zaridze - 2020 - Complexity 2020:1-8.
    In this article, the diffraction of the electromagnetic wave by the building with two rooms is considered. The rooms have doors and windows with lossy dielectric walls. The electromagnetic properties of the building as an opened coupled resonator system are investigated at different source locations and several frequencies including 5G band. The problem is solved by using the Method of Auxiliary Sources. The near electric field distributions are calculated and analyzed.
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  180.  3
    Hybrid-Driven Mechanism Based on Uncertain Network for Markov Jump System with Quantizations and Delay.Tian Tan, Jinfeng Gao, Jinxia Wang, Zhen Zhao & Miao Ma - 2020 - Complexity 2020:1-15.
    This paper investigates the hybrid-driven mechanism problem for Markov jump system, where both channel quantization and network-induced delay based on uncertain network are considered. Firstly, comparing with the traditional event-triggered scheme, a hybrid-driven mechanism is employed in networked control systems for the finite capacity of communication bandwidth resources and system performance in equilibrium. Then, the quantization technology is applied in the communication channel from sensor-to-controller and controller-to-actuator. The application of BCQ is for further investigation that mitigate data packet transmission rate. (...)
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  181. Weighted Simultaneous Approximation of the Linear Combinations of Baskakov Operators.Xiao-jun Tang, Xin-Chang Wang & Hua Yi - 2020 - Complexity 2020:1-9.
    In this paper, the approximation property of the linear combinations of Baskakov operators is investigated by using a Jacobi weight function. Moreover, both the positive and inverse theorems for the weighted simultaneous approximation of the linear combinations of Baskakov operators are proved.
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  182. Threshold Dynamics and Competitive Exclusion in a Virus Infection Model with General Incidence Function and Density-Dependent Diffusion.Xiaosong Tang, Zhiwei Wang & Jianping Yang - 2020 - Complexity 2020:1-20.
    In this paper, we investigate single-strain and multistrain viral infection models with general incidence function and density-dependent diffusion subject to the homogeneous Neumann boundary conditions. For the single-strain viral infection model, by using the linearization method and constructing appropriate Lyapunov functionals, we obtain that the global threshold dynamics of the model is determined by the reproductive numbers for viral infection ℛ0. For the multistrain viral infection model, we have discussed the competitive exclusion problem. If the reproduction number ℛi for strain (...)
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  183. Structure Design and Bearing Capacity Analysis for Crawler Chassis of Rice Combine Harvester.Zhong Tang, Hui Ren, Xiyao Li, Xin Liu & Biao Zhang - 2020 - Complexity 2020:1-15.
    Due to the current unstable travel performance and poor driving maneuverability of rice combine harvester crawler chassis with high load in the rice field, the driver’s standard sitting posture model was developed by analyzing the handling of the crawler chassis driving control panel. Based on this model, the joystick length and cab manipulation space layout were designed. The Finite Element Software was used to develop the loading and restraining model of the chassis frame, and then the structural characteristics and bearing (...)
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  184.  1
    The Diffusive Model for West Nile Virus on a Periodically Evolving Domain.Abdelrazig K. Tarboush & Zhengdi Zhang - 2020 - Complexity 2020:1-18.
    In this paper, we investigate the impact of a periodically evolving domain on the dynamics of the diffusive West Nile virus. A reaction-diffusion model on a periodically and isotropically evolving domain which describes the transmission of the West Nile virus is proposed. In addition to the classical basic reproduction number, the spatial-temporal basic reproduction number depending on the periodic evolution rate is introduced and its properties are discussed. Under some conditions, we explore the long-time behavior of the virus. The virus (...)
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  185.  2
    Optimal Network Reconfiguration to Reduce Power Loss Using an Initial Searching Point for Continuous Genetic Algorithm.Thuan Thanh Nguyen, Thang Trung Nguyen & Ngoc Au Nguyen - 2020 - Complexity 2020:1-21.
    In this paper, an effective method to determine an initial searching point of the network reconfiguration problem for power loss reduction is proposed for improving the efficiency of the continuous genetic algorithm to the NR problem. The idea of the method is to close each initial open switch in turn and solve power flow for the distribution system with the presence of a closed loop to choose a switch with the smallest current in the closed loop for opening. If the (...)
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  186.  1
    A New Stability Criterion for Systems with Distributed Time-Varying Delays Via Mixed Inequalities Method.Jun-Kang Tian & Yan-min Liu - 2020 - Complexity 2020:1-6.
    This paper is concerned with the delay-dependent stability of systems with distributed time-varying delays. The novelty relies on the use of some new inequalities which are less conservative than some existing inequalities. A less conservative stability criterion is obtained by constructing some new augmented Lyapunov–Krasovskii functionals, which are given in terms of linear matrix inequalities. The effectiveness of the presented criterion is demonstrated by two numerical examples.
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  187.  3
    Dynamics of Rabies Epidemics in Vampire Bats.Liang Tian & Juping Zhang - 2020 - Complexity 2020:1-11.
    In order to study the transmission of rabies epidemics in vampire bats, we propose a mathematical model for vampire bat rabies virus. A threshold R0 is identified which determines the outcome of the disease. If R0 1, the endemic equilibrium is globally asymptotically stable with certain conditions. Through the numerical simulation, the correctness of the theoretical results is verified. We carry out the sensitivity analysis of the parameters which provide a theoretical basis for preventing and controlling the transmission of bat (...)
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  188.  1
    Distribution Network Reconfiguration for Power Loss Reduction and Voltage Profile Improvement Using Chaotic Stochastic Fractal Search Algorithm.Tung Tran The, Dieu Vo Ngoc & Nguyen Tran Anh - 2020 - Complexity 2020:1-15.
    This paper proposes a chaotic stochastic fractal search algorithm method to solve the reconfiguration problem for minimizing the power loss and improving the voltage profile in distribution systems. The proposed method is a metaheuristic method developed for overcoming the weaknesses of the conventional SFSA with two processes of diffuse and update. In the first process, new points will be created from the initial points by the Gaussian walk. For the second one, SFSA will update better positions for the particles obtained (...)
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  189.  4
    Prediction of Future Terrorist Activities Using Deep Neural Networks.M. Irfan Uddin, Nazir Zada, Furqan Aziz, Yousaf Saeed, Asim Zeb, Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh & Marwan Mahmoud - 2020 - Complexity 2020:1-16.
    One of the most important threats to today’s civilization is terrorism. Terrorism not only disturbs the law and order situations in a society but also affects the quality of lives of humans and makes them suppressed physically and emotionally and deprives them of enjoying life. The more the civilizations have advanced, the more the people are working towards exploring different mechanisms to protect the mankind from terrorism. Different techniques have been used as counterterrorism to protect the lives of individuals in (...)
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  190.  4
    Boolean Networks and Their Applications in Science and Engineering.Jose C. Valverde, Henning S. Mortveit, Carlos Gershenson & Yongtang Shi - 2020 - Complexity 2020:1-3.
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  191.  3
    Lump-Type Wave and Interaction Solutions of the Bogoyavlenskii–Kadomtsev–Petviashvili Equation.Chuanjian Wang & Hui Fang - 2020 - Complexity 2020:1-9.
    Lump-type wave solution of the Bogoyavlenskii–Kadomtsev–Petviashvili equation is constructed by using the bilinear structure and Hermitian quadratic form. The dynamical behaviors of lump-type wave solution are investigated and presented analytically and graphically. Furthermore, we discuss the interaction between a lump-type wave and a kink wave solution. Absorb-emit interaction between two kinds of solitary wave solutions is shown. This kind of interaction solution can be regarded as a lump-type wave which propagates on the kink wave background.
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  192. Damage Characteristics and Constitutive Model of Deep Rock Under Frequent Impact Disturbances in the Process of Unloading High Static Stress.Chun Wang, Shuai-fei Zhan, Mei-zhi Xie, Cheng Wang, Lu-Ping Cheng & Zu-Qiang Xiong - 2020 - Complexity 2020:1-15.
    During the mining of deep mineral resources, the rock is in the complex mechanical environment of high crustal stress and blasting excavation unloading, and the improved SHPB test system is used to carry out frequent impact disturbance test of deep rock in the process of unloading high static stress. Firstly, the general characteristics of dynamic stress-strain curve envelope of the whole process trend can be divided into four stages: the stable development stage of micro cracks, the non-stable development stage of (...)
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  193.  4
    M-Eigenvalues-Based Sufficient Conditions for the Positive Definiteness of Fourth-Order Partially Symmetric Tensors.Gang Wang, Linxuan Sun & Lixia Liu - 2020 - Complexity 2020:1-8.
    M-eigenvalues of fourth-order partially symmetric tensors play important roles in the nonlinear elastic material analysis and the entanglement problem of quantum physics. In this paper, we introduce M-identity tensor and establish two M-eigenvalue inclusion intervals with n parameters for fourth-order partially symmetric tensors, which are sharper than some existing results. Numerical examples are proposed to verify the efficiency of the obtained results. As applications, we provide some checkable sufficient conditions for the positive definiteness and establish bound estimations for the M-spectral (...)
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  194. Investigation of Unmeasured Parameters Estimation for Distributed Control Systems.Hao Wang, Shousheng Xie, Weixuan Wang, Lei Wang & Jingbo Peng - 2020 - Complexity 2020:1-15.
    The problem of unmeasured parameters estimation for distributed control systems is studied in this paper. The Takagi–Sugeno fuzzy model which can appropriate any nonlinear systems is employed, and based on the model, an observer-based fuzzy H∞ filter which has robustness against time-delay, external noise, and system uncertainties is designed. The sufficient condition for the existence of the desired filter is derived in terms of linear matrix inequalities solutions. Moreover, the underdetermined estimation problem in which the number of sensors available is (...)
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  195.  1
    Monocular VO Based on Deep Siamese Convolutional Neural Network.Hongjian Wang, Xicheng Ban, Fuguang Ding, Yao Xiao & Jiajia Zhou - 2020 - Complexity 2020:1-13.
    Deep learning-based visual odometry systems have shown promising performance compared with geometric-based visual odometry systems. In this paper, we propose a new framework of deep neural network, named Deep Siamese convolutional neural network, and design a DL-based monocular VO relying on DSCNN. The proposed DSCNN-VO not only considers positive order information of image sequence but also focuses on the reverse order information. It employs supervised data-driven training without relying on any modules in traditional visual odometry algorithm to make the DSCNN (...)
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  196.  3
    Utilisation Efficiency of Construction Land in China’s Coastal Cities Based on Debt Level.Hui Wang, Lu Qiao, Chuang Tian & Qiaoqiao Lin - 2020 - Complexity 2020:1-10.
    Optimising the allocation of population, land, and capital production resources is crucial for promoting an efficient urbanisation and solving the urban land financial problem. This study uses a panel threshold model to identify the response boundary of urban construction land use efficiency to government debt level for 51 postfinancial crisis Chinese coastal cities. The results indicate that the threshold of economic development level and provincial gross domestic product are 2.67 and 5.17, respectively. In cities with relatively backward economic development, an (...)
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  197.  2
    High-Order Breather Solutions, Lump Solutions, and Hybrid Solutions of a Reduced Generalized (3 + 1)-Dimensional Shallow Water Wave Equation. [REVIEW]Jing Wang & Biao Li - 2020 - Complexity 2020:1-13.
    We investigate a reduced generalized -dimensional shallow water wave equation, which can be used to describe the nonlinear dynamic behavior in physics. By employing Bell’s polynomials, the bilinear form of the equation is derived in a very natural way. Based on Hirota’s bilinear method, the expression of N-soliton wave solutions is derived. By using the resulting N-soliton expression and reasonable constraining parameters, we concisely construct the high-order breather solutions, which have periodicity in x,y-plane. By taking a long-wave limit of the (...)
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  198.  1
    Analysis of a Diffusive Heroin Epidemic Model in a Heterogeneous Environment.Jinliang Wang & Hongquan Sun - 2020 - Complexity 2020:1-12.
    This paper is concerned with a reaction-diffusion heroin model in a bound domain. The objective of this paper is to explore the threshold dynamics based on threshold parameter and basic reproduction number ℜ0, and it is proved that if ℜ0 1, heroin spread is uniformly persistent and there exists a positive heroin-spread steady state. We also obtain that the explicit formula of ℜ0 and global attractiveness of constant positive steady state when all parameters are positive constants. Our simulation results reveal (...)
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  199.  1
    A Method for Solving LiDAR Waveform Decomposition Parameters Based on a Variable Projection Algorithm.Ke Wang, Guolin Liu, Qiuxiang Tao, Luyao Wang & Yang Chen - 2020 - Complexity 2020:1-13.
    Light detection and ranging is commonly used to create high-resolution maps; however, the efficiency and convergence of parameter estimation are difficult. To address this issue, we evaluated the structural characteristics of received LiDAR signals by decomposing them into Gaussian functions and applied the variable projection algorithm of the separable nonlinear least-squares problem to the process of waveform fitting. First, using a variable projection algorithm, we separated the linear and nonlinear parameters in the Gaussian function model; the linear parameters are expressed (...)
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  200. Corrigendum to “Concise Robust Control of Marine Engine Speed Based on Backstepping and Its Fuzzy Comprehension”.Lijun Wang & Sisi Wang - 2020 - Complexity 2020:1-1.
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  201.  2
    Labelling Training Samples Using Crowdsourcing Annotation for Recommendation.Qingren Wang, Min Zhang, Tao Tao & Victor S. Sheng - 2020 - Complexity 2020:1-10.
    The supervised learning-based recommendation models, whose infrastructures are sufficient training samples with high quality, have been widely applied in many domains. In the era of big data with the explosive growth of data volume, training samples should be labelled timely and accurately to guarantee the excellent recommendation performance of supervised learning-based models. Machine annotation cannot complete the tasks of labelling training samples with high quality because of limited machine intelligence. Although expert annotation can achieve a high accuracy, it requires a (...)
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  202. A New Two-Lane Lattice Hydrodynamic Model Considering the Traffic Interruption Probability Under Honk Environment.Qingying Wang, Hongxia Ge & Rongjun Cheng - 2020 - Complexity 2020:1-12.
    By accounting for the traffic interruption probability on two-lane highway under honk environment, an extended lattice hydrodynamic model is presented in the paper. In view of the novel model, a series of researches are carried out. The neutral stability condition and the stable condition can be derived through linear analysis. Then, the mKdV equation near the critical point can be obtained by applying nonlinear analysis, which describes the traffic jams according to the kink-antikink density waves. In addition, numerical simulation is (...)
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  203. High-Resolution Squinted SAR Imaging Algorithm Applied in the Near-Field Environment.Shijia Wang, Shibo Wang & Wanli Liu - 2020 - Complexity 2020:1-13.
    In the squinted synthetic aperture radar imaging of the near-field environment, range-dependent characteristic of squint angle cannot be ignored, which causes azimuth-dependent range cell migration after linear range walk correction. In this study, an efficient SAR imaging algorithm applied in the near-field environment is proposed. In the processing of the range focusing, LRWC is firstly used to remove the linear RCM. Then, the residual LRCM is expanded into azimuth-invariant and azimuth-variant terms in consideration of the residual LRCM of azimuth-dependent. Range (...)
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  204.  1
    Is the High-Speed Rail Opening Environmentally Friendly? Taking the Difference-in-Differences Test in Jiangsu, China.Shijin Wang, Huiying Zhou & Guihong Hua - 2020 - Complexity 2020:1-11.
    In view of rapid development of high-speed rail, the relationship between high-speed rail and air pollution needs to be tested and determined. Most research studies focused on the impact of high-speed rail on environmental pollution and just viewed high-speed rail as a control variable, which lacked a direct study on this relationship. Also, these rarely involved regional research, which is short of pertinence and insufficient understanding of regional issues. Therefore, based on the difference-in-differences model which is a natural experiment evaluation (...)
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  205. Joint Character-Level Convolutional and Generative Adversarial Networks for Text Classification.Tianshi Wang, Li Liu, Huaxiang Zhang, Long Zhang & Xiuxiu Chen - 2020 - Complexity 2020:1-11.
    With the continuous renewal of text classification rules, text classifiers need more powerful generalization ability to process the datasets with new text categories or small training samples. In this paper, we propose a text classification framework under insufficient training sample conditions. In the framework, we first quantify the texts by a character-level convolutional neural network and input the textual features into an adversarial network and a classifier, respectively. Then, we use the real textual features to train a generator and a (...)
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  206. Bipartite Consensus of Heterogeneous Multiagent Systems Based on Distributed Event-Triggered Control.Xiaoyu Wang, Kaien Liu, Zhijian Ji & Shitao Han - 2020 - Complexity 2020:1-14.
    In this paper, the bipartite consensus problem of heterogeneous multiagent systems composed of first-order and second-order agents is considered by utilizing the event-triggered control scheme. Under structurally balanced directed topology, event-triggered bipartite consensus protocol is put forward, and event-triggering functions consisting of measurement error and threshold are designed. To exclude Zeno behavior, an exponential function is introduced in the threshold. The bipartite consensus problem is transformed into the corresponding stability problem by means of gauge transformation and model transformation. By virtue (...)
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  207. Optimal Advertising Budget Allocation Across Markets with Different Goals and Various Constraints.Xingyuan Wang, Fuan Li & Fan Jia - 2020 - Complexity 2020:1-12.
    Advertising budget allocation across multiple markets has drawn considerable attention in recent years. To expand previous research and fill a gap in the current literature, this study proposes two decision models for optimal budget allocation decisions across multimarkets with different goals and various constraints. In addition to the market parameters proposed by the Vidale–Wolfe model, the present study incorporates market goals and advertising objectives into budget allocation decisions. Different types of markets are defined in terms of the goal set for (...)
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  208.  1
    A Stabilization Method Based on an Adaptive Feedforward Controller for the Underactuated Bipedal Walking with Variable Step-Length on Compliant Discontinuous Ground.Yang Wang, Daojin Yao, Jie He & Xiaohui Xiao - 2020 - Complexity 2020:1-16.
    Both compliance and discontinuity are the common characteristics of the real ground surface. This paper proposes a stabilization method for the underactuated bipedal locomotion on the discontinuous compliant ground. Unlike a totally new control method, the method is actually a high-level control strategy developed based on an existing low-level controller meant for the continuous compliant ground. As a result, although the ground environment is more complex, the calculation cost for the robot walking control system is not increased. With the high-level (...)
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  209. Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines.Yankun Wang, Huiming Tang, Tao Wen & Junwei Ma - 2020 - Complexity 2020:1-15.
    Accurate and reliable predictions of landslide displacements are difficult to perform using traditional point prediction approaches due to the associated uncertainty. Prediction intervals are effective tools for quantifying the uncertainty of point predictions by estimating the limit of future landslide displacements. In this paper, under the framework of the original lower upper bound estimation method, a direct interval prediction approach is proposed for landslide displacements based on the least squares support vector machine and differential search algorithms. Two LSSVM models are (...)
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  210.  3
    Hyperchaotic Oscillation in the Deformed Rikitake Two-Disc Dynamo System Induced by Memory Effect.Yanling Wang, Tengfei Lei, Xin Zhang, Chunbiao Li & Sajad Jafari - 2020 - Complexity 2020:1-10.
    The fundamental dynamics of the deformed Rikitake two-disc dynamo system is explored in this paper. Memory effect on the dynamical behavior of the generator system is studied by introducing a quadratic flux-controlled memristor. Hyperchaotic oscillation in the deformed Rikitake two-disk coupled generator is therefore firstly found. Lyapunov exponents, bifurcation diagram, and phase portraits prove the abundant dynamic behavior consistently.
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  211.  1
    Stability of a Nonlinear Stochastic Epidemic Model with Transfer From Infectious to Susceptible.Yanmei Wang & Guirong Liu - 2020 - Complexity 2020:1-12.
    We investigate a stochastic SIRS model with transfer from infectious to susceptible and nonlinear incidence rate. First, using stochastic stability theory, we discuss stochastic asymptotic stability of disease-free equilibrium of this model. Moreover, if the transfer rate from infectious to susceptible is sufficiently large, disease goes extinct. Then, we obtain almost surely exponential stability of disease-free equilibrium, which implies that noises can lead to extinction of disease. By the Lyapunov method, we give conditions to ensure that the solution of this (...)
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  212.  7
    A “User-Knowledge-Product” Co-Creation Cyberspace Model for Product Innovation.Yu Wang, Jiacong Wu, Ru Zhang, Sara Shafiee & Cheng Li - 2020 - Complexity 2020:1-20.
    To benefit from users’ co-creation knowledge in online communities, enterprises need effective methods to discover and manage co-creation users and knowledge as suggested in existing research. However, the existing methods still have their own limitations when analysing different relationships and networks. Therefore, first, this paper proposes a co-creation cyberspace super-network model for product innovation from a “user-knowledge-product” perspective to integrate the co-creation information of users, knowledge, and products. Second, to increase the accuracy of discovering, managing, and using the co-creation knowledge, (...)
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  213.  1
    Dynamical Properties of a Herbivore-Plankton Impulsive Semidynamic System with Eating Behavior.Yufei Wang, Huidong Cheng & Qingjian Li - 2020 - Complexity 2020:1-15.
    In this paper, an impulsive semidynamic system of the relationship between plankton and herbivore is established, and the Poincaré map method is used to extend the new properties of the model. We define the Poincaré map of the impulsive point series in phase concentration and analyze the characteristics. A comprehensive and detailed analysis of the periodic solution is performed. In addition, the numerical simulations illustrate the correctness of our arguments. The results show that plankton and herbivore can survive stably under (...)
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  214. Decision-Making of Electronic Commerce Supply Chain Considering EW Service.Yuyan Wang, Zhaoqing Yu, Liang Shen & Runjie Fan - 2020 - Complexity 2020:1-13.
    With the rapid development of the network economy, it is a marketing strategy to provide an extended warranty service. Considering the differences in the EW service providers and dominant enterprises, this paper proposes four kinds of decision-making models and aims to study decisions of the electronic commerce supply chain, including EW price, sales price, and service level of e-platform. Through comparative analysis and numerical analysis, this research shows that, among four decision-making models, the highest system profit can be achieved when (...)
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  215.  1
    Control of Near-Grazing Dynamics in the Two-Degree-of-Freedom Vibroimpact System with Symmetrical Constraints.Zihan Wang, Jieqiong Xu, Shuai Wu & Quan Yuan - 2020 - Complexity 2020:1-12.
    The stability of grazing bifurcation is lost in three ways through the local analysis of the near-grazing dynamics using the classical concept of discontinuity mappings in the two-degree-of-freedom vibroimpact system with symmetrical constraints. For this instability problem, a control strategy for the stability of grazing bifurcation is presented by controlling the persistence of local attractors near the grazing trajectory in this vibroimpact system with symmetrical constraints. Discrete-in-time feedback controllers designed on two Poincare sections are employed to retain the existence of (...)
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  216.  4
    Adaptive Variable Parameter Impedance Control for Apple Harvesting Robot Compliant Picking.Ji Wei, Ding Yi, Xu Bo, Chen Guangyu & Zhao Dean - 2020 - Complexity 2020:1-15.
    In order to reduce the damage of apple harvesting robot to fruits and achieve compliant picking, an adaptive variable parameter impedance control method for apple harvesting robot compliant picking is proposed in this paper. Firstly, the Burgers viscoelastic model is used to characterize the rheological properties of apples and study the variation of mechanical properties of apple grasping at different speeds. Then, a force-based impedance control system is designed. On this basis, aiming at the influence of impedance controller parameters on (...)
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  217. Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications.Yiping Wen, Junjie Hou, Zhen Yuan & Dong Zhou - 2020 - Complexity 2020:1-16.
    Scientific workflow is a valuable tool for various complicated large-scale data processing applications. In recent years, the increasingly growing number of scientific processes available necessitates the development of recommendation techniques to provide automatic support for modelling scientific workflows. In this paper, with the help of heterogeneous information network and tags of scientific workflows, we organize scientific workflows as a HIN and propose a novel scientific workflow similarity computation method based on metapath. In addition, the density peak clustering algorithm is introduced (...)
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  218. Asymptotic Behavior of a Stochastic Delayed Model for Chronic Hepatitis B Infection.Bo Wu & Jianwen Jia - 2020 - Complexity 2020:1-19.
    In this paper, a stochastic delayed model is constructed to describe chronic hepatitis B infection with HBV DNA-containing capsids. At first, the existence and uniqueness of the global positive solution are obtained. Secondly, the sufficient conditions are derived that the solution of the stochastic system fluctuates around the disease-free equilibrium E0 and the endemic equilibrium E∗. In the end, some numerical simulations are implemented to support our analytical results.
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  219. Finite-Time Stability for a Class of Underactuated Systems Subject to Time-Varying Disturbance.Jie Wu, Dan Yang, Xinyi He & Xiaodi Li - 2020 - Complexity 2020:1-7.
    Based on the classical finite-time stability theory, the problem of finite-time stability for time-varying nonlinear systems is investigated in this paper. Several FTS theorems involving global form and local form are presented, and an estimate of the settling-time of such systems is obtained. As an application, we consider the problem of asymptotic stabilization of the Brockett integrator subject to time-varying disturbance. By the switched finite-time controller design methodology, we establish a sufficient condition to guarantee the relative asymptotic stability. For Brockett-like (...)
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  220. Cost-Effective Resource Provisioning for Real-Time Workflow in Cloud.Lei Wu, Ran Ding, Zhaohong Jia & Xuejun Li - 2020 - Complexity 2020:1-15.
    In the era of big data, mining and analysis of the enormous amount of data has been widely used to support decision-making. This complex process including huge-volume data collecting, storage, transmission, and analysis could be modeled as workflow. Meanwhile, cloud environment provides sufficient computing and storage resources for big data management and analytics. Due to the clouds providing the pay-as-you-go pricing scheme, executing a workflow in clouds should pay for the provisioned resources. Thus, cost-effective resource provisioning for workflow in clouds (...)
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  221. Rock Mass Quality Evaluation Based on Unascertained Measure and Intuitionistic Fuzzy Sets.Shuliang Wu, Xidong Du & Shan Yang - 2020 - Complexity 2020:1-14.
    Evaluation of rock mass quality is of great significance to the design and construction of geotechnical engineering. In order to evaluate the quality of engineering rock mass scientifically and deal with the fuzzy information in the rock mass quality evaluation reasonably, a model for evaluation of rock mass quality based on unascertained measure and intuitionistic fuzzy sets was proposed. First, the membership of rock mass quality evaluation index was determined by the single index measure function of unascertained measure theory. Based (...)
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  222.  1
    Decision-Making Support for the Evaluation of Clustering Algorithms Based on MCDM.Wenshuai Wu, Zeshui Xu, Gang Kou & Yong Shi - 2020 - Complexity 2020:1-17.
    In many disciplines, the evaluation of algorithms for processing massive data is a challenging research issue. However, different algorithms can produce different or even conflicting evaluation performance, and this phenomenon has not been fully investigated. The motivation of this paper aims to propose a solution scheme for the evaluation of clustering algorithms to reconcile different or even conflicting evaluation performance. The goal of this research is to propose and develop a model, called decision-making support for evaluation of clustering algorithms, to (...)
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  223. Research on Information Spillover Effect of the RMB Exchange Rate and Stock Market Based on R-Vine Copula.Xiaofei Wu, Shuzhen Zhu & Suxue Wang - 2020 - Complexity 2020:1-12.
    This paper studies the dependence structure and information spillover effect between the RMB exchange rate and the Chinese stock market based on the R-vine copula model and spillover index model. The results show that due to the occurrence of the trade war, the correlation between the three RMB exchange rate indicators and the two stock market indicators increases in varying degrees. In the intensity of spillover, the information spillover of the stock market to the RMB exchange rate is significantly enhanced, (...)
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  224.  2
    Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution.Yirui Wu, Yukai Ding, Yuelong Zhu, Jun Feng & Sifeng Wang - 2020 - Complexity 2020:1-13.
    With significant development of sensors and Internet of things, researchers nowadays can easily know what happens in physical space by acquiring time-varying values of various factors. Essentially, growing data category and size greatly contribute to solve problems happened in physical space. In this paper, we aim to solve a complex problem that affects both cities and villages, i.e., flood. To reduce impacts induced by floods, hydrological factors acquired from physical space and data-driven models in cyber space have been adopted to (...)
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  225. A New Multiple-Distribution GAN Model to Solve Complexity in End-to-End Chromosome Karyotyping.Yirui Wu, Xiao Tan & Tong Lu - 2020 - Complexity 2020:1-15.
    With significant development of Internet of medical things and cloud-fog-edge computing, medical industry is now involving medical big data to improve quality of service in patient care. Karyotyping refers classifying human chromosomes. However, performing karyotyping task generally requires domain expertise in cytogenetics, long-period experience for high accuracy, and considerable manual efforts. An end-to-end chromosome karyotype analysis system is proposed over medical big data to automatically and accurately perform chromosome related tasks of detection, segmentation, and classification. Facing image data generated and (...)
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  226.  2
    An Asymmetric Popularity-Similarity Optimization Method for Embedding Directed Networks Into Hyperbolic Space.Zongning Wu, Zengru Di & Ying Fan - 2020 - Complexity 2020:1-16.
    Network embedding is a frontier topic in current network science. The scale-free property of complex networks can emerge as a consequence of the exponential expansion of hyperbolic space. Some embedding models have recently been developed to explore hyperbolic geometric properties of complex networks—in particular, symmetric networks. Here, we propose a model for embedding directed networks into hyperbolic space. In accordance with the bipartite structure of directed networks and multiplex node information, the method replays the generation law of asymmetric networks in (...)
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  227.  4
    Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure.Xugang Xi, Wenjun Jiang, Zhong Lü, Seyed M. Miran & Zhi-Zeng Luo - 2020 - Complexity 2020:1-12.
    Falls among the elderly comprise a major health problem. Daily activity monitoring and fall detection using wearable sensors provide an important healthcare system for elderly or frail individuals. We investigated the classification accuracy of daily activity and fall data based on surface electromyography and plantar pressure signals. sEMG and plantar pressure signals were collected, and their features were extracted. Suitable features were selected and combined for posture transition, gait, and fall using the Fisher class separability index. A feature-level fusion method, (...)
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  228.  1
    Local Path Planning for Unmanned Surface Vehicle Collision Avoidance Based on Modified Quantum Particle Swarm Optimization.Guoqing Xia, Zhiwei Han, Bo Zhao & Xinwei Wang - 2020 - Complexity 2020:1-15.
    An unmanned surface vehicle plans its global path before the mission starts. When dynamic obstacles appear during sailing, the planned global path must be adjusted locally to avoid collision. This study proposes a local path planning algorithm based on the velocity obstacle method and modified quantum particle swarm optimization for USV collision avoidance. The collision avoidance model based on VO not only considers the velocity and course of the USV but also handles the variable velocity and course of an obstacle. (...)
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  229.  2
    Constructing Real-Life Benchmarks for Community Detection by Rewiring Edges.Jing Xiao, Hong-Fei Ren & Xiao-Ke Xu - 2020 - Complexity 2020:1-16.
    In order to make the performance evaluation of community detection algorithms more accurate and deepen our analysis of community structures and functional characteristics of real-life networks, a new benchmark constructing method is designed from the perspective of directly rewiring edges in a real-life network instead of building a model. Based on the method, two kinds of novel benchmarks with special functions are proposed. The first kind can accurately approximate the microscale and mesoscale structural characteristics of the original network, providing ideal (...)
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  230.  1
    On Collision Avoiding Fixed-Time Flocking with Measurable Diameter to a Cucker–Smale-Type Self-Propelled Particle Model.Qizhen Xiao, Hongliang Liu, Zhenghua Xu & Zigen Ouyang - 2020 - Complexity 2020:1-12.
    Dealing with the fixed-time flocking issue is one of the most challenging problems for a Cucker–Smale-type self-propelled particle model. In this article, the fixed-time flocking is established by employing a fixed-time stability theorem when the communication weight function has a positive infimum. Compared with the initial condition-based finite-time stability, an upper bound of the settling time in this paper is merely dependent on the design parameters. Moreover, the size of the final flocking can be estimated by the number of particles (...)
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  231.  3
    Modeling and Simulation of Opinion Natural Reversal Dynamics with Opinion Leader Based on HK Bounded Confidence Model.Renbin Xiao, Tongyang Yu & Jundong Hou - 2020 - Complexity 2020:1-20.
    Opinion natural reversals are important and common phenomena in network management. It is a naturally emerging process of opinions characterized by interactions between individuals and the evolution of attitudes themselves. To explore the underlying mechanism of this social phenomenon and to reveal its dynamic traits, we propose here a novel model which takes the effects of natural reversal parameter and opinion interaction on the individual’s view choice behavior into account based on the Hegselmann and Krause bounded confidence model. Experimental results (...)
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  232. A Least Cumulative Ventilation Cost Method for Urban Ventilation Environment Analysis.Peng Xie, Dianfeng Liu, Yanfang Liu & Yaolin Liu - 2020 - Complexity 2020:1-13.
    The correct urban building layout is an important influencing factor in urban ventilation, and the heat island effect has become an important factor affecting the quality of urban life. Optimization of the urban building layout can play a role in mitigating the heat island effect. The traditional ventilation corridor analysis method, based on a least-cost path analysis, can only generate a few main ventilation corridors. It is difficult to obtain global ventilation results covering the whole study area using this method (...)
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  233.  2
    Finite-Time Projective Lag Synchronization and Identification Between Multiple Weights Markovian Jumping Complex Networks with Stochastic Perturbations.Qian Xie, Changhui Mu, Tong Wang, Gang Wu & Rong Jia - 2020 - Complexity 2020:1-25.
    Two nonidentical dimension Markovian jumping complex networks with stochastic perturbations are taken as objects. The network models under two conditions including single weight and double weights are established, respectively, to study the problem of synchronization and identification. A finite-time projection lag synchronization method is proposed and the unknown parameters of the network are identified. First of all, based on Itô’s formula and the stability theory of finite-time, a credible finite-time adaptive controller is presented to guarantee the synchronization of two nonidentical (...)
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  234. Adaptive Hybrid Soft-Sensor Model of Grinding Process Based on Regularized Extreme Learning Machine and Least Squares Support Vector Machine Optimized by Golden Sine Harris Hawk Optimization Algorithm.Wei Xie, Jie-Sheng Wang, Cheng Xing, Sha-Sha Guo, Meng-wei Guo & Ling-Feng Zhu - 2020 - Complexity 2020:1-26.
    Soft-sensor technology plays a vital role in tracking and monitoring the key production indicators of the grinding and classifying process. Least squares support vector machine, as a soft-sensor model with strong generalization ability, can be used to predict key production indicators in complex grinding processes. The traditional crossvalidation method cannot obtain the ideal structure parameters of LSSVM. In order to improve the prediction accuracy of LSSVM, a golden sine Harris Hawk optimization algorithm was proposed to optimize the structure parameters of (...)
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  235.  1
    Performance Evaluation and Disruption Recovery for Military Supply Chain Network.Biao Xiong, Rong Fan, Shuai Wang, Bixin Li & Can Wang - 2020 - Complexity 2020:1-10.
    The performance of military supply chain networks against disruptions is an important consideration for defense logistics decision making, and it is crucial to evaluate it scientifically and accurately. This paper highlights the problem from the perspective of targeted defense strategies before being attacked and analyzes the acceptable recovery time against attacks. A topological structure model, with three exclusive features, in contrast with traditional networks, is used to describe the structure of military supply chain networks. In order to provide a platform (...)
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  236.  3
    Optimizing Long-Term Bank Financial Products Portfolio Problems with a Multiobjective Evolutionary Approach.Jian Xiong, Chao Zhang, Gang Kou, Rui Wang, Hisao Ishibuchi & Fawaz E. Alsaadi - 2020 - Complexity 2020:1-18.
    With the development of economy, the requirement of financial planning for individuals or families is emerging. In the era of the Internet, individual investors can conveniently enter the market and purchase financial products. Traditional portfolio management models focus on risky markets such as stock markets. However, risk-averse investors, such as normal families, may concern appropriate long-term financial planning. This paper considers the problem of portfolio management of bank financial products with a long-term planning horizon. By taking into account the final (...)
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  237.  3
    Kernel Two-Dimensional Nonnegative Matrix Factorization: A New Method to Target Detection for UUV Vision System.Jian Xu, Pengfei Bi, Xue Du, Juan Li & Tianhao Jiang - 2020 - Complexity 2020:1-13.
    This paper studies an advanced intelligent recognition method of underwater target based on unmanned underwater vehicle vision system. This method is called kernel two-dimensional nonnegative matrix factorization which can further improve underwater operation capability of the UUV vision system. Our contributions can be summarized as follows: K2DNMF intends to use the kernel method for the matrix factorization both on the column and row directions of the two-dimensional image data in order to transform the original low-dimensional space with nonlinearity into a (...)
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  238. Contract Design for Cloud Logistics (CL) Based on Blockchain Technology.Lan Xu, Paul Tu & Qian Tang - 2020 - Complexity 2020:1-13.
    Purpose. This paper aims to design the contract and present the profit distribution mechanism for CL platform, so as to realize the intelligent and automatic operation of the artificial intelligent- based CL platform. Design/Methodology. A smart contract based on BT is designed for the AI-based CL platform. Profit distribution mechanism based on the Nash bargaining model for the CL platform is also put forward to coordinate different participators’ benefit relationship in CL. Findings. The AI-based CL platform and the proposed smart (...)
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  239. Observer-Based Event-Triggered Circle Formation Control for First- and Second-Order Multiagent Systems.Peng Xu, Guangming Xie, Jin Tao, Minyi Xu & Quan Zhou - 2020 - Complexity 2020:1-12.
    This paper proposes an observer-based event-triggered algorithm to solve circle formation control problems for both first- and second-order multiagent systems, where the communication topology is modeled by a spanning tree-based directed graph with limited resources. In particular, the observation-based event-triggering mechanism is used to reduce the update frequency of the controller, and the triggering time depends on the norm of the state function and the trigger threshold of measurement errors. The analysis shows that sufficient conditions are established for achieving the (...)
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  240.  2
    Decode Brain System: A Dynamic Adaptive Convolutional Quorum Voting Approach for Variable-Length EEG Data.Tao Xu, Yun Zhou, Zekai Hou & Wenlan Zhang - 2020 - Complexity 2020:1-9.
    The brain is a complex and dynamic system, consisting of interacting sets and the temporal evolution of these sets. Electroencephalogram recordings of brain activity play a vital role to decode the cognitive process of human beings in learning research and application areas. In the real world, people react to stimuli differently, and the duration of brain activities varies between individuals. Therefore, the length of EEG recordings in trials gathered in the experiment is variable. However, current approaches either fix the length (...)
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  241.  1
    Interactive Algorithms in Complex Image Processing Systems Based on Big Data.Yuanjin Xu & Xiaojun Liu - 2020 - Complexity 2020:1-9.
    In the era of big data, images and videos are one of the main means of information dissemination. In recent years, research on the problem of image and video reorganization and integration has become a hot topic in digital image processing technology. Using a computer for image processing, complicated programming is unavoidable. Therefore, it is necessary to optimize the interactive algorithms for image processing. In this paper, the content of image processing experiment is screened and integrated, and an image processing (...)
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  242. Fuzzy Reliability Optimization for 2-Hub Center Problem with Cluster-Based Policy and Application in Cross-Border Supply Chain Network Design Using TS Algorithm.Chenyi Yan, Xifu Wang & Kai Yang - 2020 - Complexity 2020:1-12.
    As information and communication technology evolves and expands, business and markets are linked to form a complex international network, thus generating plenty of cross-border trading activities in the supply chain network. Through the observations from a typical cross-border supply chain network, this paper introduces the fuzzy reliability-oriented 2-hub center problem with cluster-based policy, which is a special case of the well-studied hub location problem. This problem differs from the classical HLP in the sense that the hub-and-spoke network is grouped into (...)
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  243.  4
    Walking Gait Phase Detection Based on Acceleration Signals Using Voting-Weighted Integrated Neural Network.Lei Yan, Tao Zhen, Jian-Lei Kong, Lian-Ming Wang & Xiao-Lei Zhou - 2020 - Complexity 2020:1-14.
    Human gait phase recognition is a significant technology for rehabilitation training robot, human disease diagnosis, artificial prosthesis, and so on. The efficient design of the recognition method for gait information is the key issue in the current gait phase division and eigenvalues extraction research. In this paper, a novel voting-weighted integrated neural network is proposed to detect different gait phases from multidimensional acceleration signals. More specifically, it first employs a gait information acquisition system to collect different IMU sensors data fixed (...)
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  244. Stochastic Characteristics and Optimal Control for a Stochastic Chemostat Model with Variable Yield.Rong Yan & Shulin Sun - 2020 - Complexity 2020:1-18.
    In this paper, a stochastic chemostat model with variable yield and Contois growth function is investigated. The yield coefficient depends on the limiting nutrient, and the environmental noises are given by independent standard Brownian motions. First, the existence and uniqueness of global positive solution are proved. Second, by using stochastic Lyapunov function, Itô’s formula, and some important inequalities, stochastic characteristics for the stochastic model are studied, including the extinction of micro-organism, the strong persistence in the mean of micro-organism and, the (...)
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  245. Influence of Fluid on Seal and Assembly of Pipeline Fittings Based on the Multiscale Finite Element Model.Yangyang Yan & Yaping Fan - 2020 - Complexity 2020:1-12.
    Pipeline fittings with ferrules are applied to connect sections of hydraulic pipelines in aircraft, and their reliability and stability are essential. This paper aims at investigating the influence of internal fluid on the sealing characteristics of pipeline fittings by employing the multiscale model. Changes in the sealing characteristics induced by the fluid pressure switch are studied, and the assembly method under the internal fluid is also explored. The calculated results show that the multiscale model can accurately reflect the changes in (...)
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  246. Time Series Prediction Based on Complex-Valued S-System Model.Bin Yang, Wenzheng Bao & Yuehui Chen - 2020 - Complexity 2020:1-13.
    Symbolic regression has been utilized to infer mathematical formulas in order to solve the complex prediction and classification problems. In this paper, complex-valued S-system model is proposed to predict real-valued time series data. In a CVSS model, input variables and rate constants are complex-valued. The time series data need to be translated into complex numbers. The hybrid evolutionary algorithm based on complex-valued restricted additive tree and firefly algorithm is proposed to search the optimal CVSS model. Three financial time series data (...)
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  247.  1
    A Framework of Multilayer Multiphase Interleaved Converter for Electric Vehicle Based on Graph Theory.Bochao Yang, Pinduan Hu, Teng Li, Dawei Song, Zhifei Shan, Shuailong Dai & Mengfan Li - 2020 - Complexity 2020:1-17.
    Lithium-ion batteries play an important role in large-scale energy storage systems. However, the power inconsistency of the battery packs restricts the developments of modern technologies in energy storage area. The motivation of the present study is to serve the growing needs of the energy balance for lithium-ion battery packs. The present study proposes a flexible multiphase interleaved converter for the energy equalization of a lithium battery pack with series configuration. Moreover, the graph theory is applied to the analysis of equalization (...)
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  248.  2
    Improved Clonal Selection Algorithm Based on Biological Forgetting Mechanism.Chao Yang, Bing-qiu Chen, Lin Jia & Hai-Yang Wen - 2020 - Complexity 2020:1-10.
    The antibody candidate set generated by the clonal selection algorithm has only a small number of antibodies with high antigen affinity to obtain high-frequency mutations. Among other antibodies, some low-affinity antibodies are replaced by new antibodies to participate in the next clonal selection. A large number of antibodies with high affinity make it difficult to participate in clonal selection and exist in antibody concentration for a long time. This part of inactive antibody forms a “black hole” of the antibody set, (...)
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  249. Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine.Hong Yang, Lipeng Gao & Guohui Li - 2020 - Complexity 2020:1-17.
    Aiming at the chaotic characteristics of underwater acoustic signal, a prediction model of grey wolf-optimized kernel extreme learning machine based on MVMD is proposed in this paper for short-term prediction of underwater acoustic signals. To solve the problem of K value selection in variational mode decomposition, a new K value selection method MVMD is proposed from the perspective of mutual information, which avoids the blindness of variational mode decomposition in the preset modal number. Based on the prediction model of kernel (...)
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  250. Asymptotic Behavior Analysis of a Fractional-Order Tumor-Immune Interaction Model with Immunotherapy.Wenbin Yang, Xiaozhou Feng, Shuhui Liang & Xiaojuan Wang - 2020 - Complexity 2020:1-12.
    A fractional-order tumor-immune interaction model with immunotherapy is proposed and examined. The existence, uniqueness, and nonnegativity of the solutions are proved. The local and global asymptotic stability of some equilibrium points are investigated. In particular, we present the sufficient conditions for asymptotic stability of tumor-free equilibrium. Finally, numerical simulations are conducted to illustrate the analytical results. The results indicate that the fractional order has a stabilization effect, and it may help to control the tumor extinction.
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  251.  1
    Spatiotemporal Changes and Simulation of the Architectural Ethnicity at World Heritage Sites Under Tourism Development.Xi Yang, Cong Peng, Xueling Jiang, Juan Wang & Jun Liu - 2020 - Complexity 2020:1-15.
    This study was the first to integrate the quantitative analysis and simulation of spatiotemporal processes into research on the ethnicity of tourist destinations. Selecting the world heritage site of Jiuzhaigou in China as a case study, we employed remote sensing images and field observation to obtain the spatial distribution data of the site’s architectural ethnicity of 2005 and 2015. Logistic regression analysis was used to determine the mechanism driving changes in architectural ethnicity. Then, we proposed a Logistic-CA-Markov coupling model to (...)
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  252.  4
    Analysis, Stabilization, and DSP-Based Implementation of a Chaotic System with Nonhyperbolic Equilibrium.Xuan-Bing Yang, Yi-Gang He, Chun-Lai Li & Chang-Qing Liu - 2020 - Complexity 2020:1-11.
    This paper reports an autonomous dynamical system, and it finds that one nonhyperbolic zero equilibrium and two hyperbolic nonzero equilibria coexist in this system. Thus, it is difficult to demonstrate the existence of chaos by Šil’nikov theorem. Consequently, the topological horseshoe theory is adopted to rigorously prove the chaotic behaviors of the system in the phase space of Poincaré map. Then, a single control scheme is designed to stabilize the dynamical system to its zero-equilibrium point. Besides, to verify the theoretical (...)
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  253. A Naming Game-Based Method for the Location of Information Source in Social Networks.Xue Yang, Zhiliang Zhu, Hai Yu & Yuli Zhao - 2020 - Complexity 2020:1-8.
    We study herein the problem of the location of the information propagation source in social networks based on the network topology and a set of observations. We propose a concise and novel method to accurately locate the source of information using naming game theory. This study introduces the design of a dynamic deployment method that reduces considerably the number of observations and the time needed to locate the source. Moreover, it calculates the probability of each node that acts as a (...)
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  254.  2
    Delineating Mixed Urban “Jobs-Housing” Patterns at a Fine Scale by Using High Spatial Resolution Remote-Sensing Imagery.Yao Yao, Chen Qian, Ye Hong, Qingfeng Guan, Jingmin Chen, Liangyang Dai, Zhangwei Jiang & Xun Liang - 2020 - Complexity 2020:1-13.
    The spatial distribution pattern of jobs and housing plays a vital role in urban planning and traffic construction. However, obtaining the jobs-housing distribution at a fine scale presents difficulties due to a lack of social media data and useful models. With user data acquired from a location-based service provider in China, this study employs a deep bag-of-features network to classify remote-sensing images into various jobs-housing types. Considering Wuhan, one of the fastest developing cities in China, as a case study area, (...)
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  255. A Chimera Oscillatory State in a Globally Delay-Coupled Oscillator Network.Ming Yi & Chenggui Yao - 2020 - Complexity 2020:1-11.
    Oscillatory behavior is absolutely necessary for the normal functioning of various organisms and their performance. Therefore, it is necessary to protect the oscillatory behavior in an aging network which consists of oscillatory and nonoscillatory nodes. In this work, we investigate numerically and theoretically the effect of time delay on oscillatory behaviors in a network which includes active and inactive Stuart–Landau oscillators. Interestingly, we find a chimera oscillatory state where a part of oscillators is a steady state while other oscillators preserve (...)
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  256. Analysis of Stochastic Nicholson-Type Delay System Under Markovian Switching on Patches.Xin Yi & Guirong Liu - 2020 - Complexity 2020:1-13.
    Based on the influence of random environmental perturbations and the patch structure, we propose a stochastic Nicholson-type delay system under Markovian switching on patches. Existence of a global positive solution is studied. Then, we show ultimate boundedness and estimation of the sample Lyapunov exponent of the solution. Furthermore, sufficient conditions for extinction of species are established, which is the main new ingredient of this paper. Finally, some numerical examples are presented. Our results improve and generalize previous related results.
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  257.  3
    DAGAN: A Domain-Aware Method for Image-to-Image Translations.Xu Yin, Yan Li & Byeong-Seok Shin - 2020 - Complexity 2020:1-15.
    The image-to-image translation method aims to learn inter-domain mappings from paired/unpaired data. Although this technique has been widely used for visual predication tasks—such as classification and image segmentation—and achieved great results, we still failed to perform flexible translations when attempting to learn different mappings, especially for images containing multiple instances. To tackle this problem, we propose a generative framework DAGAN that enables domains to learn diverse mapping relationships. We assumed that an image is composed with background and instance domain and (...)
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  258.  1
    Spatiotemporal Evolution of Population in Northeast China During 2012–2017: A Nighttime Light Approach.Haolin You, Cui Jin & Wei Sun - 2020 - Complexity 2020:1-12.
    Population is one of the key problematic factors that are restricting China’s economic and social development. Previous studies have used nighttime light imagery to calculate population density. This study analyzes the spatiotemporal evolution of the population in Northeast China based on linear regression analyses of NPP-VIIRS NTL imagery and statistical population data from 36 cities in Northeast China from 2012 to 2017. Based on a comparison of the estimation results in different years, we observed the following. The population of Northeast (...)
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  259. Chaos-Based Application of a Novel Multistable 5D Memristive Hyperchaotic System with Coexisting Multiple Attractors.Fei Yu, Li Liu, Shuai Qian, Lixiang Li, Yuanyuan Huang, Changqiong Shi, Shuo Cai, Xianming Wu, Sichun Du & Qiuzhen Wan - 2020 - Complexity 2020:1-19.
    Novel memristive hyperchaotic system designs and their engineering applications have received considerable critical attention. In this paper, a novel multistable 5D memristive hyperchaotic system and its application are introduced. The interesting aspect of this chaotic system is that it has different types of coexisting attractors, chaos, hyperchaos, periods, and limit cycles. First, a novel 5D memristive hyperchaotic system is proposed by introducing a flux-controlled memristor with quadratic nonlinearity into an existing 4D four-wing chaotic system as a feedback term. Then, the (...)
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  260.  2
    Dynamic Analysis, Circuit Design, and Synchronization of a Novel 6D Memristive Four-Wing Hyperchaotic System with Multiple Coexisting Attractors.Fei Yu, Li Liu, Hui Shen, Zinan Zhang, Yuanyuan Huang, Changqiong Shi, Shuo Cai, Xianming Wu, Sichun Du & Qiuzhen Wan - 2020 - Complexity 2020:1-17.
    In this work, a novel 6D four-wing hyperchaotic system with a line equilibrium based on a flux-controlled memristor model is proposed. The novel system is inspired from an existing 5D four-wing hyperchaotic system introduced by Zarei. Fundamental properties of the novel system are discussed, and its complex behaviors are characterized using phase portraits, Lyapunov exponential spectrum, bifurcation diagram, and spectral entropy. When a suitable set of parameters are chosen, the system exhibits a rich repertoire of dynamic behaviors including double-period bifurcation (...)
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  261.  2
    CCII and FPGA Realization: A Multistable Modified Fourth-Order Autonomous Chua’s Chaotic System with Coexisting Multiple Attractors.Fei Yu, Hui Shen, Li Liu, Zinan Zhang, Yuanyuan Huang, Binyong He, Shuo Cai, Yun Song, Bo Yin, Sichun Du & Quan Xu - 2020 - Complexity 2020:1-17.
    In this paper, a multistable modified fourth-order autonomous Chua’s chaotic system is investigated. In addition to the dynamic characteristics of the third-order Chua’s chaotic system itself, what interests us is that this modified fourth-order autonomous Chua’s chaotic system has five different types of coexisting attractors: double-scroll, single band chaotic attractor, period-4 limit cycle, period-2 limit cycle, and period-1 limit cycle. Then, an inductorless modified fourth-order autonomous Chua’s chaotic circuit is proposed. The active elements as well as the synthetic inductor employed (...)
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  262.  6
    Secure Communication Scheme Based on a New 5D Multistable Four-Wing Memristive Hyperchaotic System with Disturbance Inputs.Fei Yu, Zinan Zhang, Li Liu, Hui Shen, Yuanyuan Huang, Changqiong Shi, Shuo Cai, Yun Song, Sichun Du & Quan Xu - 2020 - Complexity 2020:1-16.
    By introducing a flux-controlled memristor model with absolute value function, a 5D multistable four-wing memristive hyperchaotic system with linear equilibrium points is proposed in this paper. The dynamic characteristics of the system are studied in terms of equilibrium point, perpetual point, bifurcation diagram, Lyapunov exponential spectrum, phase portraits, and spectral entropy. This system is of the group of systems that have coexisting attractors. In addition, the circuit implementation scheme is also proposed. Then, a secure communication scheme based on the proposed (...)
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  263. Parallel Encryption of Noisy Images Based on Sequence Generator and Chaotic Measurement Matrix.Jiayin Yu, Yaqin Xie, Shiyu Guo, Yanqi Zhou & Erfu Wang - 2020 - Complexity 2020:1-18.
    With the rapid development of information technology in today’s society, the security of transmission and the storage capacity of hardware are increasingly required in the process of image transmission. Compressed sensing technology can achieve data sampling and compression at the rate far lower than that of the Nyquist sampling theorem and can effectively improve the efficiency of information transmission. Aiming at the problem of weak security of compressed sensing, this study combines the cryptographic characteristics of chaotic systems with compressed sensing (...)
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  264.  4
    Regular and Irregular Vegetation Pattern Formation in Semiarid Regions: A Study on Discrete Klausmeier Model.Huayong Zhang, Tousheng Huang, Liming Dai, Ge Pan, Zhao Liu, Zichun Gao & Xiumin Zhang - 2020 - Complexity 2020:1-14.
    The research on regular and irregular vegetation pattern formation in semiarid regions is an important field in ecology. Applying the framework of coupled map lattice, a novel nonlinear space- and time-discrete model is developed based on discretizing the classical Klausmeier model and the vegetation pattern formation in semiarid regions is restudied in this research. Through analysis of Turing-type instability for the discrete model, the conditions for vegetation pattern formation are determined. The discrete model is verified by Klausmeier’s results with the (...)
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  265. Line Spectrum Chaotification on QZS Systems with Time-Delay Control.Jing Zhang, Tao Tang & Wenhua Fang - 2020 - Complexity 2020:1-14.
    Chaotification can be employed to weaken or eliminate the feature of line spectra of waterborne noise. The efficiency of this method lies on the use of small control. The analysis reveals that the critical control gain depends on the stiffness of vibration isolation systems. Thus, an isolation raft system based on quasi-zero-stiffness property is proposed for line spectrum chaotification. A nonlinear time-delay controller is derived accordingly. Comparative analysis shows that the new approach allows much smaller control, and the intensity of (...)
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  266. Complexity Analysis of a 3-Player Game with Bounded Rationality Participating in Nitrogen Emission Reduction.Jixiang Zhang & Xuan Xi - 2020 - Complexity 2020:1-16.
    In this paper, a decision-making competition game model concerning governments, agricultural enterprises, and the public, all of which participate in the reduction of nitrogen emissions in the watersheds, is established based on bounded rationality. First, the stability conditions of the equilibrium points in the system are discussed, and the stable region of the Nash equilibrium is determined. Then, the bifurcation diagram, maximal Lyapunov exponent, strange attractor, and sensitive dependence on the initial conditions are shown through numerical simulations. The research shows (...)
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  267.  5
    Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach.Ming Zhang, Kai Wang & Yan-Ting Zhou - 2020 - Complexity 2020:1-10.
    Filtering based state of charge estimation with an equivalent circuit model is commonly extended to Lithium-ion batteries for electric vehicle or similar energy storage applications. During the last several decades, different implementations of online parameter identification such as Kalman filters have been presented in literature. However, if the system is a moving EV during rapid acceleration or regenerative braking or when using heating or air conditioning, most of the existing works suffer from poor prediction of state and state estimation error (...)
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  268. Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity.Pengyan Zhang, Yanyan Li, Wenlong Jing, Dan Yang, Yu Zhang, Ying Liu, Wenliang Geng, Tianqi Rong, Jingwen Shao, Jiaxin Yang & Mingzhou Qin - 2020 - Complexity 2020:1-12.
    Urbanization is causing profound changes in ecosystem functions at local and regional scales. The net primary productivity is an important indicator of global change, rapid urbanization and climate change will have a significant impact on NPP, and urban expansion and climate change in different regions have different impacts on NPP, especially in densely populated areas. However, to date, efforts to quantify urban expansion and climate change have been limited, and the impact of long-term continuous changes in NPP has not been (...)
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  269. Solitary and Periodic Wave Solutions of Sasa–Satsuma Equation and Their Relationship with Hamilton Energy.Weiguo Zhang, Xingqian Ling, Bei-Bei Wang & Shaowei Li - 2020 - Complexity 2020:1-17.
    In this paper, we study the exact solitary wave solutions and periodic wave solutions of the S-S equation and give the relationships between solutions and the Hamilton energy of their amplitudes. First, on the basis of the theory of dynamical system, we make qualitative analysis on the amplitudes of solutions. Then, by using undetermined hypothesis method, the first integral method, and the appropriate transformation, two bell-shaped solitary wave solutions and six exact periodic wave solutions are obtained. Furthermore, we discuss the (...)
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  270.  1
    A Robust K-Means Clustering Algorithm Based on Observation Point Mechanism.Xiaoliang Zhang, Yulin He, Yi Jin, Honglian Qin, Muhammad Azhar & Joshua Zhexue Huang - 2020 - Complexity 2020:1-11.
    The k-means algorithm is sensitive to the outliers. In this paper, we propose a robust two-stage k-means clustering algorithm based on the observation point mechanism, which can accurately discover the cluster centers without the disturbance of outliers. In the first stage, a small subset of the original data set is selected based on a set of nondegenerate observation points. The subset is a good representation of the original data set because it only contains all those points that have a higher (...)
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  271.  1
    The Dominance Degree-Based Heterogeneous Linguistic Decision-Making Technique for Sustainable 3PRLP Selection.Xiaolu Zhang & Ting Su - 2020 - Complexity 2020:1-18.
    This study develops a novel dominance degree-based heterogeneous linguistic decision-making technique for identifying the most sustainable third-party reverse logistics providers under complex input environments. First, qualitative and uncertain inputs that arise from real-world 3PRLP evaluation process are successfully managed by using linguistic terms, hesitant fuzzy linguistic terms, and probabilistic linguistic term sets with different granularities. Then, the dominance degrees of each 3PRLP related to the other 3PRLPs are calculated based on a new ratio index-based probabilistic linguistic ranking method and the (...)
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  272.  1
    Computation of Time Delay Stability Margin for the Automated Vehicular Platoon.Xunxun Zhang, Li Li & Xu Zhu - 2020 - Complexity 2020:1-10.
    Due to the limited band width and congestion of communication channels in the wireless vehicle-to-vehicle communication, time delay inevitably arises and dramatically leads to the disturbances for the automated vehicular platoon. This paper focuses on computing the exact time delay stability margin. In this study, we treat this problem as a stability issue of a consensus system with time delay, where each vehicle in the platoon is recognized as a node, and the interconnected information flow is represented as a graph. (...)
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  273. Revisiting Spatiotemporal Changes in Global Urban Expansion During 1995 to 2015.Yang Zhang, Huiying Wang, Peng Xie, Yingxue Rao & Qingsong He - 2020 - Complexity 2020:1-11.
    This study used global land-use data interpreted from remote sensing images to quantitatively analyze the spatial and temporal changes in global urban expansion over the past 20 years, as well as the source, rate of expansion, and urban growth patterns of newly added urban land around the world. Some main conclusions included the following. Globally, NAUL was mainly derived from agriculture, grassland, and forest. These three types of land use contributed 68.93%, 10.10%, and 9.76%, respectively, to the land sources for (...)
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  274. Evolutionary Dynamics of Stochastic SEIR Models with Migration and Human Awareness in Complex Networks.Yue Zhang & Yuxuan Li - 2020 - Complexity 2020:1-15.
    In this paper, a stochastic SEIR epidemic dynamic model with migration and human awareness in complex networks is constructed. The awareness is described by an exponential function. The existence of global positive solutions for the stochastic system in complex networks is obtained. The sufficient conditions are presented for the extinction and persistence of the disease. Under the conditions of disease persistence, the distance between the stochastic solution and the local disease equilibrium of the corresponding deterministic system is estimated in the (...)
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  275. Temperature Forecasting Via Convolutional Recurrent Neural Networks Based on Time-Series Data.Zao Zhang & Yuan Dong - 2020 - Complexity 2020:1-8.
    Today, artificial intelligence and deep neural networks have been successfully used in many applications that have fundamentally changed people’s lives in many areas. However, very limited research has been done in the meteorology area, where meteorological forecasts still rely on simulations via extensive computing resources. In this paper, we propose an approach to using the neural network to forecast the future temperature according to the past temperature values. Specifically, we design a convolutional recurrent neural network model that is composed of (...)
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  276. Data Aggregation in Heterogeneous Wireless Sensor Networks by Using Local Tree Reconstruction Algorithm.Zhaohui Zhang, Jing Li & Xiaoli Yang - 2020 - Complexity 2020:1-14.
    Aiming at the transmission of heterogeneous data in heterogeneous networks, a topology optimization algorithm of heterogeneous wireless sensor networks based on local tree reconstruction is proposed, which can achieve better data transmission in the heterogeneous networks. First, the algorithm divides the nodes of the network into different layers by their hops and chooses different numbers of nodes as relay nodes in different layers. Second, the nodes are set with different initial energies in different layers. Because the packets of different nodes (...)
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  277. Quantitative Analysis for the Spread Range of Malignant Tumor Based on Lie Symmetry.Mingliang Zheng - 2020 - Complexity 2020:1-6.
    It provided a powerful new way for predicting the growth trend of malignant tumor and assisting the treatment of cancer patients. Firstly, a one-dimensional mathematical model for the dynamic proliferation of malignant tumors is established on the premise of related simplification and hypothesis. Secondly, according to the Lie symmetry theory, we deduce the multigroup allowed infinitely small generating elements of partial differential equations and obtain the analytic form of the exact invariant solution. Finally, the influence of the model condition parameters (...)
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  278. Predictive Study of Tuberculosis Incidence by ARMA Model Combined with Air Pollution Variables.Yanling Zheng - 2020 - Complexity 2020:1-11.
    China has the second largest number of tuberculosis cases in the world, and the Xinjiang province has the highest TB incidence in China. Urumqi is the capital city of Xinjiang; good TB prevention and control in Urumqi can provide an example for other parts of Xinjiang, considering that predicting the TB incidence is the prerequisite of prevention and control; therefore, it is necessary to do a prediction study on TB incidence in Urumqi. In this paper, based on the data of (...)
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  279. Supply Chain Decisions and Coordination Under the Combined Effect of Overconfidence and Fairness Concern.Zhang Zhijian, Peng Wang, Miyu Wan, Junhua Guo & Jian Liu - 2020 - Complexity 2020:1-16.
    The purpose of this study was to examine the joint effect of overconfidence and fairness concern on supply chain decisions and design contracts to achieve a win-win situation within the supply chain. For this study, a centralized supply chain model was established without considering the retailers’ overconfidence and fairness concern. Furthermore, the retailers’ overconfidence and fairness concerns were introduced into the decentralized supply chain, while the Stackelberg game model between the manufacturer and the retailer was built. Furthermore, an innovative supply (...)
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  280. A Complexity Analysis of User Interaction with Hotel Robots.Lina Zhong, Liyu Yang, Jia Rong & Xiaonan Li - 2020 - Complexity 2020:1-13.
    Service robots have been introduced to hotel industry in the past decade and received various feedback on their performance. To provide better service, one needs to understand how the hotel customers look at the service robots. Understanding their interests, motivation, and behaviors in human-robot interaction is the key to develop high-quality services and improve robot’s performance. This is the first work to study human-robot interaction in hotels in China. Frequent pattern mining and social network analysis techniques are used in this (...)
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  281. Research on Coordination Complexity of E-Commerce Logistics Service Supply Chain.Yaoguang Zhong, Fangfang Guo, Huajun Tang & Xumei Chen - 2020 - Complexity 2020:1-21.
    With the rapid growth of E-commerce business, logistics service, especially the last-mile distribution, has become one bottleneck, which leads to the rise of coordination complexity of logistics service supply chain. This research, based on Stackelberg’s game theory, studies the coordination of a new three-echelon LSSC consisting of an E-commerce mall, an express company, and a terminal distribution service provider and investigates the optimal solutions and profits for each party within the semicentralized and centralized LSSC alliances, respectively. To accomplish this, it (...)
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  282.  1
    Construction of Nonsinusoidal Oscillation Waveform Function and Technological Parameters for Continuous Casting Mold.Chao Zhou, Xingzhong Zhang, Fang Wang & Subo Ren - 2020 - Complexity 2020:1-8.
    Nonsinusoidal oscillation techniques can shorten the negative strip time and improve the slab surface quality in the process of steel continuous casting. But the acceleration of nonsinusoidal oscillation is higher than that of the sinusoidal oscillation. So it is easy to result in the impact for the mold movement. To solve this problem, a nonsinusoidal oscillation waveform function of mold was constructed, which had good dynamic characteristics. And the smaller acceleration can reduce the impact of the oscillator. By analyzing the (...)
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  283. The Impact of Service and Channel Integration on the Stability and Complexity of the Supply Chain.Jianheng Zhou & Xingli Chen - 2020 - Complexity 2020:1-27.
    This paper constructs a supply chain consisting of a manufacturer and a retailer. Considering channel integration and service cooperation, two dynamic Stackelberg game models are established: one without unit profit allocation M and the other one with unit profit allocation Mε. In two dynamic models, we analyze the influence of relevant parameters on the stability and complexity of the dynamic system and system profit by nonlinear system theory and numerical simulation. We find that the higher adjustment parameters can cause the (...)
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  284.  1
    Complex PM2.5 Pollution and Hospital Admission for Respiratory Diseases Over Big Data in Cloud Environment.Yi Zhou & Lianshui Li - 2020 - Complexity 2020:1-7.
    With the establishment of China’s national air quality monitoring network, large amounts of monitoring data are available for different kinds of users. How to process and use this big data is a tough problem for users: most users have limited computing power, and new data are collected at every moment. Cloud computing may be an efficient and low-cost way to solve this problem. This paper investigates a problem of a complex system: the impact of PM2.5 on hospitalization for respiratory diseases. (...)
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  285.  5
    Sign Prediction on Social Networks Based Nodal Features.Xiaoyu Zhu & Yinghong Ma - 2020 - Complexity 2020:1-11.
    The sentiments among social individuals are complexity and diversity, and the relationships between them include being friendly and hostile. The positive or negative sentiments in the relations can be modeled as signed connections or links. The missing relations or sentiments between individuals are always worthy of speculation. The sign predication on links has been significant applications in a variety of online settings, such as online recommendation system and abnormal user detections. A novel sign prediction method called the SPR model is (...)
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