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Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi 2019 1.The Department of Information Operation & Command Training, National Defense University, Beijing 100091, China; ;

Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi

Journal of System Simulation

Abstract: Spatial data has the characteristic of extensity, timeliness, multidimensional, large amount of data and complex relations. Some non-conventional data screening tool for analysis and mining is required to find out the patterns, rules and characteristics knowledge in the spatial big data for battlefield situation awareness and battle space management. In view that the existing Apriori algorithm scans the database too frequently, the Apriori algorithm is improved on the basis of working principle of Map Reduce .The fast analysis ideas and technologyframework of spatial data is proposed. An elementary validate prototype is built for the key technology experimentation.Experimental results …


Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun 2019 College of Mathematics and Physics, University of South China, Hengyang 421001, China;

Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun

Journal of System Simulation

Abstract: The interactions between an ultrasound contrast agent (UCA) microbubble and a concave surface can be applied to understanding of the response of the UCA near blood vessel wall in ultrasound field. A dynamics model of microbubble near a concave wall is presented by a virtual image method and the acoustic reflection effects of the surface. The dynamic behavior of the microbubble is analyzed by numerical calculation. The results show that the microbubble vibration is suppressed near the wall. Inhibitory effects to microbubble vibration near rigid wall are stronger than that of near elastic wall. The microbubble vibration is easier …


Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong 2019 1.Beihang University, School of Economics and Management, Beijing 100022, China; ;

Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong

Journal of System Simulation

Abstract: As the Learning-Oriented network platform aims to share knowledge, its users’ behavior is different from that of other network communities. Based on the Mental Accounting Theory, affecting factors of the users’ behavior is analyzed with Structural Equation Model. The simulation model using social computing method is established. This paper makes the comparative analysis on the NETLOGO simulation platform to explore and summarize the rules of users’ behavior. The final mental accounts including "Gaining Knowledge", "Learning Interest", "Sense of Belonging", and "Time". According to the conclusions and experiments, This paper provides the basis of decision making for the …


A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong 2019 School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China;

A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong

Journal of System Simulation

Abstract: In order to increase the security of single chaotic systems, this paper proposesa new image encryption algorithm based on Chen chaotic system, cellular automaton and DNA. The 3-dimension Chen chaotic system is used to generate a pseudo random sequence. The DNA dynamic encoding on plain-text image and cellular automation is completed based on the transformed sequence. The DNA sequence of the plain-text image is divided into blocks, which arethen reorganized. These new groups of the DNA sequence of plain-text are combined with the DNA sequence of cellular automation to carry out the mixed operation with the cipher-text cross diffusion …


Soc Prediction Of Battery Based On Improved Online Kernel Extreme Learning Machine, Yukun Sun, Manman Li, Yonghong Huang 2019 1.School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China; ;2.School of Electrical Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China;

Soc Prediction Of Battery Based On Improved Online Kernel Extreme Learning Machine, Yukun Sun, Manman Li, Yonghong Huang

Journal of System Simulation

Abstract: In order to conduct an accurate and fast online prediction for the state of charge (SOC) of battery, an improved online kernel extreme learning machine (IO-KELM) algorithm is proposed. In this work, a prediction model is presented with charge voltage, current and surface temperature as inputs and SOC of battery as output. The IO-KELM adopts Cholesky factorization to extend the kernel extreme learning machine (KELM) from offline mode to online mode. Meanwhile, the output weights of the network are updated by successive join of the new samples, and the matrix inverse operation is replaced with arithmetic. Hence, the generalization …


Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun 2019 1.School of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, China; ;

Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun

Journal of System Simulation

Abstract: Aiming at fast computation of the composite scattering of low-fly target and ocean surface, the improvement of conventional multi-path algorithm is implemented, and a new multi-path algorithm is proposed based on the statistics of mirror facets’ slope. New algorithm takes the modulation from gravity into account in comparison with conventional algorithm. The distribution of mirror facets’ slope is counted from a determined ocean surface, and the multi-path coupling is summed with a weight coefficient, which scatters from mirror facets with different slope. Furthermore, the coupling scattering characteristic is obtained from target and ocean surface. Simulation result indicates that the …


Passivity-Based Control For Three-Phase Four-Bridge D-Statcom In Low-Voltage Distribution Network, Zheng Hong, Wencheng Xu, Jiawei Zhang 2019 Jiangsu Key Laboratory of Drive and Intelligent Control for Electric Vehicle, School of electrical and information engineering, Jiangsu University, Zhenjiang 212013, China;

Passivity-Based Control For Three-Phase Four-Bridge D-Statcom In Low-Voltage Distribution Network, Zheng Hong, Wencheng Xu, Jiawei Zhang

Journal of System Simulation

Abstract: Three-phase four-bridge distribution static synchronous compensator (D-STATCOM) has the obvious superiority in solving the problems that brought by the three-phase unbalanced loads in the three-phase four-wire low-voltage power supply system. The Euler-Lagrange (EL) cycle average model is established based on the synchronous rotation d-q-0 coordinates. In the light of the nonlinear and strong coupling characteristics, the passivity-based control (PBC) and inverse cross coupling control strategy using the d-q axis nonlinear decoupling control. PBC controller is designed by energy shaping and damping injection (ESDI) based on the passivity of the system. The closed-loop system is demonstrating asymptotically stable according to …


Transformer Fault Diagnosis Based On Feature Extraction Of Relative Transformation Principal Component Analysis, Yongbo Tang, Yinguo Xiong 2019 1.School of Physical Science and Engineering, Yichun University, Yichun 336000, China; ;2.School of Electronic Information Engineering, Jiangxi University of Engineering, Xinyu 338000, China;

Transformer Fault Diagnosis Based On Feature Extraction Of Relative Transformation Principal Component Analysis, Yongbo Tang, Yinguo Xiong

Journal of System Simulation

Abstract: In order to handle the problem that the feature extraction of dissolved gas analysis (DGA) data by principal component analysis (PCA) is not distinct, a new transformer fault diagnosis method based on relative transformation (RT) PCA is proposed. The original data space is converted to the relative data space by relative transformation which makes the transformed data more distinguishable. PCA is employed to reduce the dimension of relative space to make the features more representative in the relative space. Diagnosis model based on least squares support vector machine (LSSVM) is set up according to the fault characteristic of transformer. …


Optimizing Control Of Total Heat Supply Based On Machine Learning, Li Qi, Xingqi Hu, Jianmin Zhao 2019 School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China;

Optimizing Control Of Total Heat Supply Based On Machine Learning, Li Qi, Xingqi Hu, Jianmin Zhao

Journal of System Simulation

Abstract: The central heating system has complex structure, along with the characteristics of hysteresis, strong coupling and nonlinear. Contraposing the problem that the process is difficult to be identified and controlled by the mechanism modeling, an optimal control method of heat source total heat production based on machine learning is proposed. The heat source model of central heating system is established by BP neural network and long short-term memory neural network. Under the premise of meeting the demand of heating quality, with the total energy consumption as the optimization objective, the optimal control sequence of water supply temperature and water …


Integrated Simulation Of Mixed Traffic Flow On Elementary And Middle School Gate’S Road When Students Going To School, Mingbao Pang, Yanan Pei, Zhang Ning 2019 School of Civil and Transportation, Hebei University of Technology, Tianjin 300401, China;

Integrated Simulation Of Mixed Traffic Flow On Elementary And Middle School Gate’S Road When Students Going To School, Mingbao Pang, Yanan Pei, Zhang Ning

Journal of System Simulation

Abstract: Synthesizing the advantages and disadvantages of social force model (SFM) and cellular automaton model (CAM), a simulation model of mixed traffic flow including pedestrian, motor vehicle and non-motorized vehicle on the interference road section of elementary and middle school’s gate when students going to school was established. The traffic flow characteristics after changing the proportion of students going to school by private car and implementing different traffic organization schemes were analyzed. The results of the examples indicate that its organization phenomena can be realized by decreasing the proportion of pupils taking private cars and implementing different measures of traffic …


Integrated Berth And Quay Crane Allocation Multi-Objective Algorithm For Container Terminal, Wang Xu, Shixin Liu, Ruiyou Zhang, Wang Jia 2019 1.School of Economics, Hebei University of Environmental Engineering, Qinhuangdao 066102, China; ;2.College of Information Science & Engineering, Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang 110819, China; ;

Integrated Berth And Quay Crane Allocation Multi-Objective Algorithm For Container Terminal, Wang Xu, Shixin Liu, Ruiyou Zhang, Wang Jia

Journal of System Simulation

Abstract: This paper researches on a continuous berth and quay crane allocation problem for low carbon container terminal. Considering the constraints of stochastic arrival time and limited truck transportation ability, a multi-objective nonlinear mixed integer programming model is established to minimize carbon emissions and average delay time. An efficient non-dominate sorting genetic algorithm II (ENSGA-II) is designed to deal with this problem. According to the characteristics of the problem, encoding rule and decoding rule based on rolling-horizon simulation, PPX crossover operator with elite selection, multi constraints mutation operator and repair operator are adopted. The results of several simulation experiments …


Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei 2019 Key Laboratory of Mechanism Theory and Equipment Design, Ministry of Education, Tianjin University, Tianjin 300072, China;

Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei

Journal of System Simulation

Abstract: Regarding to the problems of hysteresis and creep, the developments and achievements of the research on pneumatic artificial muscles at home and abroad are systemically reviewed. The state of the art is summarized in terms of characteristics, reasons causing, modeling and control strategies based on the hysteresis and creep modeling. The problems in recent research are analyzed and the direction for further research is put forward. The theoretical study on hysteresis and creep of pneumatic artificial muscle is limited. The hysteresis modeling needs to consider the time-varied parameters caused by creep. Neural network modeling needs to solve …


Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun 2019 1.School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China; ;

Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun

Journal of System Simulation

Abstract: The multi-ports slot plan problem considering dispatching sequence of containers in yard is solved by an integer linear programming model, which minimizes heeling moment. The influences of different dispatching rules on solving the problem are simulated and analyzed through the programming model. Accordingly, a simulation optimization model based on genetic algorithm is constructed in order to enhance the computational efficiency. The simulation optimization model simulates the process of dispatching containers and loading vessel. The feasible solution is constructed through rules sets and inputted into the optimization model. An efficient encoding and decoding solutions are developed in genetic algorithm, …


A 3d Convolution Neural Network For Operational Aggregation Behavior Prediction, Liao Ying, Yi Zhuo, Xiaofeng Hu, Tian Yuan, Jiuyang Tao 2019 1.Information Engineering University, Zhengzhou 450001, China; ; 2.Department of Information Operation & Command Training, NDU, Beijing 100091, China;

A 3d Convolution Neural Network For Operational Aggregation Behavior Prediction, Liao Ying, Yi Zhuo, Xiaofeng Hu, Tian Yuan, Jiuyang Tao

Journal of System Simulation

Abstract: Operational aggregation behavior prediction has encountered the challenges of large feature space, dynamic changes of related combat units and large behavior noise, etc. To address these issues, a operational aggregation behavior prediction method based on a 3D convolution neural network is proposed. In this method, a three-dimension convolution neural network is constructed by introducing the time dimension into the two-dimension convolution so as to recognize the operational aggregation behaviors. After that, a reconfigurable hierarchical long short-term memory (LSTM) network is adopted to analyze the temporal aggregation behavior data of related combat units, with which the key factors of aggregation …


Airport Surface Traffic Simulation Based On Agent-Cellular Automaton, Zhiwei Xing, Shijiao Li, Yunxiao Tang, Luo Qian 2019 1.R&D Base of Special Ground Equipment, CAUC, Tianjin 300300, China; ;

Airport Surface Traffic Simulation Based On Agent-Cellular Automaton, Zhiwei Xing, Shijiao Li, Yunxiao Tang, Luo Qian

Journal of System Simulation

Abstract: In order to analyze the traffic situation of airport surface, an airport surface traffic simulation method is proposed based on the theory of agent and cellular automaton model. The traffic characteristics of airport surface are analyzed. The combination of agent theory and the cellular automaton model is discussed. Different parts of the airport surface traffic are defined respectively as one-dimensional cellular automaton, and aircraft agent is designed, which means that a traffic simulation model is constructed based on agent-cellular automaton. The airport surface traffic is simulated. Simulation results show that the simulation method has the characteristics of simple, high …


Development Of Simulated Driving Dynamics Simulation System Of High-Speed Train, Sun Zhuang, Huanyun Dai, Gan Feng, Gao Hao 2019 Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031, China;

Development Of Simulated Driving Dynamics Simulation System Of High-Speed Train, Sun Zhuang, Huanyun Dai, Gan Feng, Gao Hao

Journal of System Simulation

Abstract: In order to truly simulate the moving postures of the high-speed train at run time, based on six degrees of freedom Stewart motion platform, dynamics simulation system and simulation operation interface are developed by VC++ programming language. The dynamics model of high-speed train system is presented in this paper, whose first vehicle is a detailed coupled model including longitudinal, lateral and vertical DOF (Degree of Freedom), and other vehicles are the mass models only with the longitudinal DOF. In the process of the simulation, the dynamics model is updated in real time according to line data and driver's …


Modeling Of Submarine Torpedo-Launching Simulation, Jinping Wu, Junchao Mao, Wenqiang Ding 2019 Navy Submarine Academy, Qingdao, Qingdao 266100, China,;

Modeling Of Submarine Torpedo-Launching Simulation, Jinping Wu, Junchao Mao, Wenqiang Ding

Journal of System Simulation

Abstract: In order to lay foundation for modeling and simulation of operation problems such as torpedo attacking, torpedo operation application and torpedo operation effectiveness analysis, etc., the model of submarine torpedo-launching is built in the way of qualitative analysis and classical mathematics. As an important composition of submarine torpedo-attacking, torpedo-launching mainly means the course from torpedo out-tube to hitting target or voyage end, which is between the stage of “controlling weapon launching” and “observing attack effectiveness” during the whole torpedo-attacking course. Through analyzing the seven-stage trajectory process of torpedo-launching, the target detecting model and acoustic homing range model of …


Design And Implementation Of Signal Level Mono-Pulse Tracking Radar Simulation System, Chaoxuan Shang, Zhao Yang, Zhuangzhi Han, Han Ning 2019 1.Army Engineering University, Shijiazhuang 050003, China; ;

Design And Implementation Of Signal Level Mono-Pulse Tracking Radar Simulation System, Chaoxuan Shang, Zhao Yang, Zhuangzhi Han, Han Ning

Journal of System Simulation

Abstract: In view of the poor compatibility between the particle size of simulation and tracking feedback control in tracking radar simulation system, a signal level mono-pulse tracking radar simulation system is constructed based on SystemVue simulation platform. Simulation system is layered and simulation framework is built according to the requirements of the simulation system. The key technologies in the process of simulation are analyzed, and the simulation results with distance and angle tracking loop are given. System implementation is of great significance for mono-pulse radar system design, demonstration, equipment development appraisal as well as combat training and …


Adaptive Fuzzy Sliding Mode Controller With Predictive Control For Redundant Manipulators With Variable Payload, He Jun, Minzhou Luo, Jianghai Zhao, Linsen Xu, Li Tao 2019 1.School of Information Science and Technology, University of Science and Technology of China,Hefei 230026, China; ;2.Institute of Advanced Manufacturing Technology, Hefei Institute of Physical Science, Chinese Academy of Sciences, Changzhou 213164, China;

Adaptive Fuzzy Sliding Mode Controller With Predictive Control For Redundant Manipulators With Variable Payload, He Jun, Minzhou Luo, Jianghai Zhao, Linsen Xu, Li Tao

Journal of System Simulation

Abstract: This paper presents an adaptive fuzzy sliding mode controller with Kalman predictive control (AFSMCK) for the redundant robotic manipulator handling a variable payload to achieve a precise trajectory tracking in the task space. This approach could be applied to solve the problems caused by the variable payload and model uncertainties. A Kalman predictive controller using the recursive algorithm is presented for an accurate prediction of a variable payload. The adaptive fuzzy logic algorithm is designed to approximate the parameters of the sliding mode controller to avoid chattering in real time. Lyapunov theory is applied to guarantee the stability of …


Modeling And Numerical Simulation Of Tissue Engineering Scaffold 3d Printing Process, Congping Chen, Jieguang Huang, Hu Qiong, Yanhua Ran, Li Bo 2019 College of Mechanical & Power Engineering, China Three Gorges University, Yichang, 443002, China;

Modeling And Numerical Simulation Of Tissue Engineering Scaffold 3d Printing Process, Congping Chen, Jieguang Huang, Hu Qiong, Yanhua Ran, Li Bo

Journal of System Simulation

Abstract: In the process of tissue engineering scaffold fabrication using injecting 3D printing, the viscous fluid material is extruded out with a style of microfilament, which is deposited on a substrate layer by layer. The materials spread, pile up, remelt and solidify as a consequence of the couple effects of gravity, surface tension, viscous force and solidification drag force. Aiming at the above issues, the forming process of scaffold with homogeneously-sized space pores is studied with a CFD approach to research the pore forming mechanism. The results show that the viscous fluid is cooled mainly by the substrate, and heat …


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