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Event Triggered Optimization Method For Dynamic Task Decomposition Mode In Cloud Fusion, Wang Yan, Lijun Cheng 2019 College of the Internet of Things, Jiangnan University, Wuxi 214122, China;

Event Triggered Optimization Method For Dynamic Task Decomposition Mode In Cloud Fusion, Wang Yan, Lijun Cheng

Journal of System Simulation

Abstract: Aiming at the characteristics of randomness, dynamics, diversity and uncertainty of arrival time in the cloud fusion mode, two triggered tasks of the new tasks randomly reaching the cloud platform and the non-executable sub-tasks are considered. To improve the sub-tasks correlation degree and the workload balance of each group, the coupling degree of the sub-tasks is decreased, and an event-triggered mechanism (ETM) based optimization method for dynamic task decomposition mode is proposed. On the basis of the unified tasks description, the optimal flow of dynamic task decomposition is designed to determine the sub-tasks information flow. A multi-objective …


Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei 2019 1. School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China; ;2. Jiangsu Provincial Key Laboratory of Food Manufacturing Equipment, Wuxi 214122, China;

Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei

Journal of System Simulation

Abstract: To solve the problem of rescheduling of workshop production process, combined with the present situation of transparent manufacturing process in discrete workshop, a decision method of rescheduling and an event processing in discrete workshop driven by the abnormal events are proposed. In the IOT driven discrete manufacturing workshop environment, the complex event processing technology is applied to analyze and deal with the real-time information on manufacturing processes. On this basis, by defining the driven mechanism, the decision scheme and the performance evaluation index of rescheduling, the decision method of rescheduling in discrete workshop facing the costing is put forward; …


Overview Of Multi-Agents Modeling And Simulation For Underwater Unmanned Combat Systems, Hongtao Liang, Fengju Kang, Yanfang Fu 2019 1. School of Physics and Information Technology, Shaanxi Normal University, X'an 710119, China; ;

Overview Of Multi-Agents Modeling And Simulation For Underwater Unmanned Combat Systems, Hongtao Liang, Fengju Kang, Yanfang Fu

Journal of System Simulation

Abstract: Military UUV is developing toward the direction of intellectualization and coordination of multi-UUV system. It is composed of complex underwater unmanned system (UUS) with changeable underwater environment and complex combat mission. Multi-agents (MAS) modeling technology has become the mainstream method to study this kind of complex system. The development and characteristics of UUS are briefly and comprehensively reviewed. The latest developments of MAS theory are systematically summarized, and MAS modeling and simulation technology for multi-UUV cooperative combat system (MUCCS) are analyzed. A novel MAS theory method, that is immune agent interactive network (IAIN), is proposed, which combines the modeling …


Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan 2019 1. School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China; ;

Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan

Journal of System Simulation

Abstract: Considering the influence of heterogeneous travel on traffic flow distribution, the travelers’ route choice behaviors are classified into three types: price regulation, quantity regulation and price-quantity regulation. Three day-to-day dynamical stochastic assignment models based on the disequilibrium theory are established, and the existence, uniqueness, and stability of the solutions to these models are proved. Through model simulation, it proved that each path flow in these three models can converge to a steady state after a finite travel adjustment, and the day-to-day dynamical stochastic assignment model under price-quantity regulation can simulate the influence of heterogeneous travel behaviors on the distribution …


Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang 2019 1.School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China; ;

Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang

Journal of System Simulation

Abstract: In the classical target recognition theory, many neurons in the mammalian retina and LGN perform DoG operations. Their functions are generally considered to be whitening, eliminating redundancy, and enhancing edges. Where is the redundant information? In this paper, the electrophysiological study of the ON-OFF neurons of the dove optic roof was performed. It was found that the FSL was used to carry out the rough and fast transfer of the whole scene information, and then the salient features in the scene were successively transmitted using the issue rate. For this reason, by analyzing the response pattern of neurons, this …


Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei 2019 1. Department of Civil Engineering, Tsinghua University, Beijing 100084, China; ;

Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei

Journal of System Simulation

Abstract: Traffic flow prediction is an important component of urban intelligent transportation system. With the development of machine learning and artificial intelligence, deep learning has been applied in traffic engineering area. Gated recurrent unit (GRU) neural network is selected to predict urban traffic flow. Cross-validation method is used to explore the optimal number of gated recurrent units. The GRU model is compared with other three predictors such as support vector regression and evaluated in different performance measurements. The results show that GRU model has better performance in traffic flow prediction than the other three models.


Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu 2019 Department of Civil Engineering, Tsinghua University, Beijing 100084, China;

Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu

Journal of System Simulation

Abstract: With the electric vehicles (EVs) gaining popularity in megacities, the energy consumption of EVs has subsequently caught researchers’ attention. The exploration of energy consumption of EVs has largely focused on people’s revealed driving behavior and rarely touched on their self-perception of driving styles. Aiming to investigate how the energy efficiency of EVs is shaped by the driving behavior and driving style in the urban scenario from field test data and driving style questionnaires (DSQs), a human-centric approach is adopted. The results of a correlation analysis demonstrate the dynamic interaction between drivers’ revealed behavior and stated driving style under different …


Research On Evaluation Framework Of Coa Based On Wargaming, Haiyang Liu, Yubo Tang, Xiaofeng Hu, Guangpeng Qiao 2019 1. College of Joint Operation, National Defense University, Beijing 100091, China; ;2. College of Space Command, Space Engineering University, Beijing 101416, China;

Research On Evaluation Framework Of Coa Based On Wargaming, Haiyang Liu, Yubo Tang, Xiaofeng Hu, Guangpeng Qiao

Journal of System Simulation

Abstract: Aiming at the evaluation problem of COA (course of action) level indicators in joint operation, an evaluation framework of COA based on wargaming was proposed. By multidimensional analysis of wargaming data, an evaluation feature space was constructed from basic features generated by data cube models and SoS (system of systems) features based on complex network. Wargaming experiments were used to generate small batch metrics results of COA level indicators, and the corresponding result labels of evaluation feature space data were generated by data fitting method. Two-phase correlation analysis was used for dimensionality reduction of high dimensional evaluation features. …


Improved Hybrid Devs-Based Equipment Modeling Method, Jianchun Zhang, Yanyang Zeng, Wenpeng Xu, Fengju Kang 2019 1. School of Computer Science and Technology, Henan Polytechnical University, Jiaozuo 454000, China; ;

Improved Hybrid Devs-Based Equipment Modeling Method, Jianchun Zhang, Yanyang Zeng, Wenpeng Xu, Fengju Kang

Journal of System Simulation

Abstract: Aiming at the shortcoming of model reuse and extensibility in the existing underwater warfare simulations, a hybrid modeling method based on improved hybrid DEVS (IHDEVS) is proposed. By analyzing the characteristics of combat in the underwater warfare, the event driven engagement process is constructed. From the two dimensions of entity function and behavior abstraction, a model classification strategy based on separation of concerns is designed, and a universal entity model framework is built based on the IHDEVS modeling theory, including layers of the interaction architecture, the coupling model and the atomic model. A typical example shows that this …


Target Decision In Collaborative Air Combats Using Multi-Agent Particle Swarm Optimization, Yuewen Fu, Yuancheng Wang, Chen Zhen, Wenlan Fan 2019 Department of Bomber and Transport Pilot Conversion, Unit No. 93199 of PLA, Harbin 150000, China;

Target Decision In Collaborative Air Combats Using Multi-Agent Particle Swarm Optimization, Yuewen Fu, Yuancheng Wang, Chen Zhen, Wenlan Fan

Journal of System Simulation

Abstract: Under the research background of collaborative multi-aircraft and multi-target air combats, combined with the actual combat constraint conditions and the threat assessment functions on both sides, a collaborative air combat target decision simulation model is established for complex and changeable battlefield situations, which can reflect the priority of fire attack. To solve the decision scheme quickly and accurately, an improved multi-agent particle swarm optimization algorithm is proposed by introducing the interaction mechanism of the multi-agent theory into particle swarm optimization algorithm; and the neighborhood cooperation operator, mutation operator and self-learning operator for the agent are designed respectively. …


Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming 2019 1. Joint Operations College Joint Operations Training Center, National Defense University, Beijing 100091, China; ;2. Military Operations Teaching and Research Office, Army Artillery and Air Defense Academy, Hefei 230031, China;

Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming

Journal of System Simulation

Abstract: Real-Time Strategy (RTS) games have important reference value for studying the intelligent technology of command and control systems. The similarities between RTS games and the strategic battle level command and control systems are described according to the decision process. The challenges brought by the problems of planning, learning, uncertainty and space-time reasoning in the intelligent technology of RTS games are analyzed. The key technologies and latest research progress of action sequence planning, plan recognition, state assessment, multi-agent collaboration and multi-scale AI are studied. The trend of intelligent technology development of strategic and operational level command and control systems is …


Modeling And Research Of Global Allocation Policy In Cascading Failures, Chongjie Dong 2019 Dongguan Polytechnic, Dongguan 523808, China;

Modeling And Research Of Global Allocation Policy In Cascading Failures, Chongjie Dong

Journal of System Simulation

Abstract: In reality, the global loads of network usually alter when the structure and function of network change by a list of attacks. Based on this, the paper defines extra loads of the normal node inversely proportional to the distance of failure node and presents a new indicator named "diffusion step" to failure diffusion process, which uses the global allocation policy instead of neighbor or local feature of node. By simulating scale-free network, small-world network and random network, the average results of network show that the scale-free network has strong ability to resist failures. When the influence of global allocation …


Human Motion Simulation Based On Speech Recognition Control, Zhiwen Wang, Zihao Zhang, Yuxiang Jia, Wei Yi, Yanfei Shen 2019 1. School of Information Engineering Zhengzhou University, Zhengzhou 450001, China; ;

Human Motion Simulation Based On Speech Recognition Control, Zhiwen Wang, Zihao Zhang, Yuxiang Jia, Wei Yi, Yanfei Shen

Journal of System Simulation

Abstract: Human body motion simulation refers to real time rendering of human body and its motion in a computer. It is a computational model to simulate the natural and physical movement of human body under given constraints. Rendering a good human body movement can improve people's sense of immersion and substitution when watching. It is an inevitable premise of interaction between the viewer and the system. Based on the above theory, under the premise of using the rendering engine to ensure the quality of human motion rendering, it is further proposed to use the speech recognition engine to identify the …


High Performance Fault-Tolerant Scheduling Method And Simulation For Heterogeneous Multicore, Shigan Yu, Zhimin Tang, Xiaochun Ye, Zhimin Zhang 2019 1.State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;2.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Being 100049, China; ;3. Information Engineering college, Fuyang Normal University, Fuyang 236041, China;

High Performance Fault-Tolerant Scheduling Method And Simulation For Heterogeneous Multicore, Shigan Yu, Zhimin Tang, Xiaochun Ye, Zhimin Zhang

Journal of System Simulation

Abstract: To deal with the problem of low performance and high power consumption when solving the transient fault of the processor with three mode redundancy (TMR), a task execution algorithm for heterogeneous multicore considering fault tolerant (TEAHFT) is proposed. The tasks to be executed are divided into sensitive tasks and fault-tolerant tasks. The sensitive tasks are executed in a TMR mode, and the fault-tolerant tasks are executed in a competitive scheduling mode. The task will be rerun in TMR method if the results of the fault-tolerant tasks do not meet the reliability threshold. The simulation experimental results show that TEAHFT …


Simulation Of Earthquake Disaster Affecting Field Direction Based On Mobile Phone Positioning Data, Xiaoyong Zhang, Xiao Di, Su Zhong, Jianghao Wang 2019 1. Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing 100101, China; ;

Simulation Of Earthquake Disaster Affecting Field Direction Based On Mobile Phone Positioning Data, Xiaoyong Zhang, Xiao Di, Su Zhong, Jianghao Wang

Journal of System Simulation

Abstract: The direction of the earthquake disaster affected field determines the spatial distribution of the earthquake disaster scope, and further influences the post-disaster emergency command and decision. The 7.0 magnitude earthquake occurred at 2017-08-08T21:19:00 is taken as an example; the location data of the internet mobile phone before and after the earthquake area are used. The spatial distribution characteristics of the disappearing mobile phone location data and the orientation direction of the distributed discrete point sets are obtained by using the standard deviation ellipse model in the spatial econometric analysis. The direction of the earthquake disaster affected field is …


Forward Algorithm Of Lwd Azimuthal Gamma, Qifeng Sun, Youxiang Duan, Yanan Yan, Hongqiang Li 2019 1.College of Computer & Communication Engineering, China University of Petroleum, Qingdao 266580, China; ;

Forward Algorithm Of Lwd Azimuthal Gamma, Qifeng Sun, Youxiang Duan, Yanan Yan, Hongqiang Li

Journal of System Simulation

Abstract: The study of the LWD (Logging While Drilling) azimuthal gamma imaging mode under different geological structures can provide bases for fast and accurate identification of drilled formation. The detection model of LWD azimuthal gamma is set up, and physical models of several positions of the formation and gamma detector is established, combining the descartes coordinate with the spherical coordinate, an azimuthal gamma log response algorithm under different position models is derived. Comparing the simulated results with the measured results of the azimuthal gamma ray logging tool, it is proved that the algorithm can effectively simulate the response characteristics of …


Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu 2019 1. Faculty of Electronic information Engineering, Huaiyin Institute of Technology, Huaian 223003, China; ;

Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu

Journal of System Simulation

Abstract: A visual object tracking algorithm based on cross-modality features deep learning over RGB-D data is proposed. A sparse denoising autoencoder deep learning network is constructed, which can extract cross-modal features of the samples in RGB-D video data. The cross-modal features of the samples are input to the logistic regression classifier, the observation likelihood model is established according to the confidence score of the classifier, and the reasonable state transition model is established. The object tracking results over RGB-D data are obtained using particle filtering algorithm. Experimental results show that the proposed method has strong robustness to abnormal changes. …


Permanent Magnet Synchronous Motor Multi-Parameter Identification Based On Improved Salp Swarm Algorithm, Mengqiu Wang, Wang Yan, Zhicheng Ji 2019 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Permanent Magnet Synchronous Motor Multi-Parameter Identification Based On Improved Salp Swarm Algorithm, Mengqiu Wang, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Since the multi-parameter identification of permanent magnet synchronous motor (PMSM) has slow speed and low accuracy, a parameter identification method based on the improved salp swarm algorithm was proposed in this paper. The algorithm firstly adopted the self-adaptive evaluation-move strategy and neighborhood optimum guide strategy based Von Neumann topology to update the position of followers twice, which strengthened information cooperation in the population and accelerated the convergence rate of parameter identification. Secondly, the algorithm used the opposition-based learning strategy to perturb the population position with a certain mutation probability, that avoided local optimum and misconvergence of the parameters. The …


Bayesian Evaluation Method For Energy Efficiency Of Manufacturing System Based On Combined Weights, Dongfeng Cao, Wang Yan 2019 School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;

Bayesian Evaluation Method For Energy Efficiency Of Manufacturing System Based On Combined Weights, Dongfeng Cao, Wang Yan

Journal of System Simulation

Abstract: The energy consumption of discrete manufacturing system presents many complex characteristics such as multi-source, multi-level and dynamic uncertainty, which make energy efficiency analysis and evaluation very difficult. The evaluation index system of energy efficiency of discrete manufacturing system is constructed from three aspects: manufacturing equipment, processing tasks and products. The improved Bayesian probability evaluation model is adopted for energy efficiency evaluation. In determining the weight link, the dynamic modified AHM method is combined with entropy weight method to make up the uncertainty of the structure and parameters of the Bayesian model, and to synthesize the subjective and objective two …


Multi-Frame Fusion Method For Point Cloud Of Lidar Based On Imu, Yanguo Zhang, Li Qing 2019 Beijing Information Science Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;

Multi-Frame Fusion Method For Point Cloud Of Lidar Based On Imu, Yanguo Zhang, Li Qing

Journal of System Simulation

Abstract: Aiming at the problem that in the process of using 16-line laser radar to realize environment perception, the point cloud data is sparse, which leads to the difficulty of target detection and tracking, a new method of LiDAR point cloud fusion based on inertial measurement unit (IMU) is proposed. The method establishes a multi-frame LiDAR point cloud data fusion model, which can effectively use historical point cloud data and detection results to obtain more environmental information, and improve the detection accuracy and tracking ability of target objects. 16-line laser radar and the self-developed IMU sensor are used to conduct …


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