86 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. 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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  3.  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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  4.  2
    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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  5. 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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  6. 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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  7.  2
    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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  8.  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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  9.  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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  10.  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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  11.  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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  12.  4
    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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  13.  5
    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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  14.  2
    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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  15.  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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  16.  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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  17.  1
    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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  18.  1
    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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  19.  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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  20.  3
    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 Hu & 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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  21.  4
    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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  22. 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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  23. 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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  24.  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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  25.  2
    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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  26.  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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  27.  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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  28.  2
    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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  29.  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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  30.  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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  31.  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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  32.  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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  33.  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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  34.  3
    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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  35.  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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  36. 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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  37.  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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  38.  1
    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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  39.  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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  40.  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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  41.  3
    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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  42. 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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  43. 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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  44.  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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  45.  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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  46.  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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  47. 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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  48. 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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  49. 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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  50.  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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  51.  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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  52.  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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  53.  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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  54. 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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  55.  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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  56. 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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  57. 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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  58.  6
    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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  59.  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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  60. 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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  61. 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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  62. 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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  63.  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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  64.  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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  65. 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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  66.  1
    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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  67. 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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  68. 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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  69.  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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  70. 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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  71.  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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  72.  3
    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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  73. 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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  74. 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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  75.  3
    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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  76.  2
    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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  77. 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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  78.  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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  79.  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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  80.  3
    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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  81.  4
    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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  82. 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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  83. 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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  84.  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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  85. 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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  86.  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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