Performance Evaluation Method Based On Satisfactory Degree For Air-Information Fusion System,
2020
Electronic Equipment Test Centre of China, Luoyang 471003, China;
Performance Evaluation Method Based On Satisfactory Degree For Air-Information Fusion System, Xiaochao Wu, Li Dong, Zhang Xing, Zhenyu Huang, Liu Bo
Journal of System Simulation
Abstract: Based on the theory of satisfactory degree, a performance evaluation method for air-information fusion system with multi-radar inputs was proposed. According to the designed indexes, the radar deployment and track layout by anti-air warfare, the performance of this fuse system was comprehensively tested with satisfaction method and evaluation software in a simulation testbed. The evaluated results can be the evidences for solving the fusing problem and improving the fusion system combat effectiveness. The effective application of this method in a test shows its value.
Real-Time Modeling Of Interaction Between Floating Objects And Large-Scale Water,
2020
1. Marine College, Northwestern Polytechnical University, Xi'an 710072, China;;2. National Key Laboratory of Underwater Information Process and Control, Xi'an 710072, China;
Real-Time Modeling Of Interaction Between Floating Objects And Large-Scale Water, Xiaolong Yang, Hongtao Liang, Fengju Kang, Gu Hao
Journal of System Simulation
Abstract: Large scale water is an integral part of nature and of high interest for interactive 3D applications, e.g., computer games and virtual environments. Allowing the water to interact with floating objects is essential for applications, but traditional height field interaction methods concentrate on water-to-body effects by letting water flow through the bodies. A novel GPU-based method for rapid simulation of large scale water interacting with objects was proposed. A specially designed simulation grid was used to solve the interactions between dynamic objects and the surrounding environment. The model of rigid body was realized with a pre-rigid body …
Submarine Tactical Action Scheme Optimization Method Based On Massive Result Data,
2020
1. Navy Submarine Academy, Qingdao 266071, China;;
Submarine Tactical Action Scheme Optimization Method Based On Massive Result Data, Zhang Hui, Sijin Wu, Cheng Jian
Journal of System Simulation
Abstract: Taking submarine evasion anti-sub force formation search scheme optimization as an example, a submarine tactical action scheme optimization method based on massive simulation result data was proposed. The operational effectiveness data in different situation of various scheme were generated by off-line simulation, which was used as massive data to support on-line real time decision. Real time decision used interpolation method to estimate the operational effectiveness based on the data. According to the computational experiments, accuracy and efficiency can both satisfy the need of real time decision.
Evolutionary Extreme Learning Machine Optimized By Quantum-Behaved Particle Swarm Optimization,
2020
1. College of Information and Electrical Engineering, Ludong University, Yantai 264025, China;;
Evolutionary Extreme Learning Machine Optimized By Quantum-Behaved Particle Swarm Optimization, Pang Shan, Xinyi Yang, Xuesen Lin
Journal of System Simulation
Abstract: Extreme Learning Machine (ELM) is a novel learning algorithm for Single-Hidden-Layer Feed Forward Neural Networks (SLFN) with much faster learning speed and better generalization performance than traditional gradient-based learning algorithms. However ELM tends to require more neurons in the hidden layer and lead to ill-conditioned problem due to the random selection of input weights and hidden biases. To address these problems, a learning algorithm was proposed which used quantum-behaved particle swarm optimization (QPSO) to select the optimal network parameters including the number of hidden layer neurons according to the both the root mean square error on validation data set …
Cloud Manufacturing Resource Discovery Method Based On Eav Model And Solr,
2020
1. School of Management, Harbin Institute of Technology, Harbin, 150001;;
Cloud Manufacturing Resource Discovery Method Based On Eav Model And Solr, Geng Chao, Shiyou Qu, Yingying Xiao, Guoqiang Shi, Tingyu Lin, Liqin Guo, Xiaowei Wang
Journal of System Simulation
Abstract: A resource discovery solution of cloud manufacturing based on text information processing technology was proposed. This solution converted the description model of cloud manufacturing resource to a formal model of text information processing via a mapping function, and an EAV (Entity-Attribute-Value) derived model of cloud manufacturing resources was designed to solve the resource properties issues of heterogeneity, diversity, dynamic and so on. By introducing the Solr index schema, the text indexing system of resource properties data was built to improve query performance of related data. A prototype system was designed for discovering cloud manufacturing resources based on …
Dynamics Analysis Of Flue Gas Compression System In Oxy-Coal Fired Boiler,
2020
School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;
Dynamics Analysis Of Flue Gas Compression System In Oxy-Coal Fired Boiler, Jianqiang Gao, Zhang Chen
Journal of System Simulation
Abstract: Taking the flue gas compression system in a 300MW oxy-coal fired boiler unit as an object of study by concept design, math model of gas compressor and gas cooler were established with the method of lumped parameter, and dynamic simulation of flue gas compression system was developed. The disturbance experiments on coal-feeder speed and flue gas compressor speed, etc. were carried out based on B-MCR stable condition. As a result, the operating parameters of gas compressor have a more sensitive response and larger change magnitude when the perturbation of coal feeder speed and gas compressor speed is disturbed; when …
Design Of Multi-Scenario Simulation Of Molten Iron Logistics System With Cranes And Cross-Train Agvs,
2020
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;
Design Of Multi-Scenario Simulation Of Molten Iron Logistics System With Cranes And Cross-Train Agvs, Shaowen Lu, Xiaochuan Luo
Journal of System Simulation
Abstract: Iron and steel complexes prefer a new molten iron logistics technology which involves cranes and cross-train AGVs (Automated Guided Vehicle) for transportation. The key concern of decision-makers is how to evaluate the safety and performance of the logistics design. For using simulation, it needs to solve the multi-scenario what-if simulation problems caused by uncertain processing time and crane yielding. An object-oriented simulation design method and finite state automata based modeling techniques were introduced. A multi-scenario simulation procedure was introduced. The proposed techniques can improve the flexibility, configurability and reusability of the simulation system effectively.
Real-Time Control Method Of Hsss Based On Single Phrase Self Decoupling Strategy,
2020
1. University of Shanghai for Science and Technology, Shanghai 200093, China;;
Real-Time Control Method Of Hsss Based On Single Phrase Self Decoupling Strategy, Yingping Yi, Bogang Qu, Zhang Yang
Journal of System Simulation
Abstract: Zero Crossing Detection (ZCD) and phase locked loop are widely applied in the real-time control. Compared the performances of ZCD, SSRF SPLL and DDSRF SPLL,a method named as Single Phase Self Decoupling SPLL (SPSD SPLL) for HSSS(Hybrid Solid State Switch) is proposed and the mathematical method and control methods are given. The control parameters were obtained by analyzing the steady and dynamic performance of SPSD SPLL. By establishing the real-time controlling models based on the above strategies and HSSS model in the MATLAB/Simulink, the simulation and optimization analysis results verified that the SPSD SPLL was well performed …
Attention Mechanism In Battlefield Situation Awareness,
2020
National Defense University, Beijing 100091, China;
Attention Mechanism In Battlefield Situation Awareness, Yisi Kong, Xiaofeng Hu, Zhu Feng, Jiuyang Tao
Journal of System Simulation
Abstract: Battlefield situation awareness (BSA) is the basis of C2 and decision making. Research on BSA can clarify the mechanism and lay the foundation for designing intelligent model and algorithm to assist commanders with situation awareness. Taking attention mechanism as the point, the relevant discussion in psychology was summarized, a framework of the attention mechanism in BSA was put forth, and its application in operational target value assessment was explored.
Adaptive Mutative Scale Chaos Particles Swarm Optimization Based On Logistic Mapping,
2020
College of Computer Science and Technology of Henan Polytechnic University, Jiaozuo 454000, China;
Adaptive Mutative Scale Chaos Particles Swarm Optimization Based On Logistic Mapping, Yanyang Zeng, Yunxia Feng, Wentao Zhao
Journal of System Simulation
Abstract: To overcome the shortcomings of Particle Swarm Optimization (PSO), an Adaptive Mutative Scale Chaos Particles Swarm Optimization (ACPSO) based on Logistic Mapping was proposed. The chaos method was used to initialize the particles. The adjustment method of the inertia weight depended on the particle's fitness; it could avoid premature convergence for the particles. When the particles fell into the local optimum, mutative scale chaos optimization strategy was adopted to adjust the optimal particles. To test the effectiveness of the algorithm, three representative algorithms were compared with. The results show that the algorithm has high convergence speed and high precision.
Accuracy Of New Lattice Monte Carlo Simulation Algorithm Of Biased Diffusion Model,
2020
College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
Accuracy Of New Lattice Monte Carlo Simulation Algorithm Of Biased Diffusion Model, Zhengxiong Wu, Guo Gang, Duan Hong
Journal of System Simulation
Abstract: It is already proved that the traditional fixed time step lattice Monte Carlo (LMC) algorithm can reproduce both the mean and the variance of the particle displacement exactly. However, there is always a non-zero skewness when there is a drift. To further improve the accuracy, a new LMC algorithm of biased diffusion model with five transition probabilities has been devised, which indeed reproduces the first three moments exactly. The valid scope of lattice step and time step can be determined numerically once the drift and the diffusivity are given. A new measurement is introduced to study the accuracy characteristics …
Target Combination Selection Optimization Method Of Joint Operations Based On Fuzzy Genetic Algorithm,
2020
The Department of Information Operation & Command Training, National Defense University, Beijing 100091, China;
Target Combination Selection Optimization Method Of Joint Operations Based On Fuzzy Genetic Algorithm, Suike Li, Jianhua Xiang, Haijun Wang, Mingzhi Zhang, Li Yi
Journal of System Simulation
Abstract: Under the condition of informatization, it is necessary to use intelligent model and optimization method to realize the cooperation and fusion of multi arms combat firepower. Aiming at the problem of target decision-making and firepower allocation in joint operations, the fuzzy multi-objective programming model was constructed to achieve the overall goal of achieving the maximum and the best firepower as a dual goal. In the model solving algorithm, the possibility theory was used to transform the fuzzy number, the model was transformed into the multi-objective programming model in the deterministic form. In order to improve the efficiency of …
Artillery Company Firepower Assignment Model And Algorithm,
2020
1. Department of Information Operation & Command Training, National Defense University, Beijing 100091, China;;2. Artillery Training Base of General Staff, Xuanhua 075100, China;
Artillery Company Firepower Assignment Model And Algorithm, Xuezhi Lü, Lisheng Chang, Xianwen Wang, Xinhui Zhao
Journal of System Simulation
Abstract: In view of deficiency of traditional firepower assignment method and characteristics of modern artillery, the model and algorithm of firepower assignment of artillery company were studied. The firepower assignment problem of artillery company was described, and the resolving concept was discussed. Three firepower assignment modes based on resolving concept were introduced. The idea of getting optimal solution of firepower assignment with Monte Carlo simulation and golden section search were analyzed. The model and algorithm were validated with an example.
A Cnn Based Cognitive Method To Battlefields Encompassing Situation With Insufficient Samples,
2020
1. The Department of Information Operation and Command Training, National Defense University, Beijing 100091, China;;2. No. 93682 Unit of PLA, Beijing 101300, China;;
A Cnn Based Cognitive Method To Battlefields Encompassing Situation With Insufficient Samples, Zhu Feng, Xiaofeng Hu, Xiaoyuan He, Yisi Kong, Yang Lu
Journal of System Simulation
Abstract: To research the issue of how to grasp the commander's cognitive experience successfully and effectively facing to battlefields sight map, Convolution Neural Network (CNN) as a kind of the typical algorithm in deep learning can provide the key ways. However, CNN needs the enough samples for running. These samples are hardly to achieve for the time being. Aimed at these problems, some exploring researches were carried out. The issues of battlefields encompassing situation cognition met generally in the warfare and lacking enough samples were discussed. On the basis of analyzing the image characteristics of battlefields encompassing situation and the …
Simulation Of Cooperative Behavior Contagion In Small World Network,
2020
School of Management and Economics, Southwest Jiaotong University, Chengdu 610031, China;
Simulation Of Cooperative Behavior Contagion In Small World Network, Shilong Wang
Journal of System Simulation
Abstract: Under small world network structure, this research constructed a contagion model of cooperative behavior based on behavioral characteristics such as homogeneity gathering, two degrees of separation, influence paradox, attenuation nature, etc. and used Netlogo platform to run the simulation. The results indicate the contagion of cooperative behavior has hysteresis, emergent and progressive properties; the average path length constrains the contagion completion; the strong ties are prone to spread cooperative behavior; the distribution level of node degree of network significantly impacts the contagion time. The discoveries afford guidance for enhancing cooperation performance in small groups, by adjusting relationship …
Doa Estimation Method Of Uniform Circular Array Based On Improved Smoothed L0 Norm,
2020
School of Electronic and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China;
Doa Estimation Method Of Uniform Circular Array Based On Improved Smoothed L0 Norm, Wang Biao, Chen Feng, Lu Li
Journal of System Simulation
Abstract: To solve the problems of the narrow-band signal DOA method, such as low resolution and unsuitable for applications with small number of snapshot and array elements, etc, DOA of uniform circular array based on improved smoothed l0 norm was proposed after analysis of the characteristics of UCA model and signal airspace sparse, combining with improved the smooth l0 norm algorithm. For reconstructing the signal, the method used the combined continuous function as the approximation to l0 norm by sparse matrix processing array manifold, which improved the convergence speed. It was also extended to the UCA DOA …
Performance Evaluation Of Guidance And Control System Based On Improved Latin Hypercube,
2020
Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China;
Performance Evaluation Of Guidance And Control System Based On Improved Latin Hypercube, Denghui Zhang, Chao Tao, Songyan Wang, Ma Ping
Journal of System Simulation
Abstract: Aiming at the low efficiency and the poor space-filling property in the aircraft performance evaluation combined with simulation experiment, a novel aircraft performance evaluation method based on the improved LHD (Latin hypercube designs) was investigated. The six-DOF (Degree of Freedom) rigid aircraft model was built. Considering the characteristic of BTT (bank-to-turn) vehicle in dive phase, the performance evaluation index system of its guidance and control system was set up. The optimal LHD was applied to the performance evaluation of the aircraft guidance and control system. The improved algorithm can quickly construct a good design …
Visualization Of Multi-Dimensional Effectiveness Indicator Of Weapon System Of Systemsbased On Fusion Manifold Learning,
2020
1. Department of Information Operation & Command Training, NDU of PLA, Beijing 100091, China;;
Visualization Of Multi-Dimensional Effectiveness Indicator Of Weapon System Of Systemsbased On Fusion Manifold Learning, Jianfei Ding, Guangya Si, Yafeng Shi, Liu Yi
Journal of System Simulation
Abstract: It is an important way to compare the comprehensive characteristics of weapon system of systems (WSoS) by means of visualization method to display the various effectiveness indicators information of WSoS construction planning scheme in simulation test. A visualization method for multi-dimensional effectiveness indicator was proposed based on fusion manifold learning. The indicator items and scheme items were converged from high-dimensional space to the same two-dimensional space. The density calculation was used to calculate the effect degree between the multidimensional indicator and scheme. The final multidimensional indicator visualization effect was achieved by radiological calculation. Two sets of experiments were …
Best Viewpoint Selection For 3d Visualization Using Particle Swarm Optimization,
2020
College of Computer Science and Technology of Henan Polytechnic University, Jiaozuo 454000, China;
Best Viewpoint Selection For 3d Visualization Using Particle Swarm Optimization, Panpan Jia, Yanyang Zeng, Yunxia Feng
Journal of System Simulation
Abstract: The viewpoint selection is to automatically select one or more approximate optimal viewpoints in the viewpoints of multiple views, at the same time, it is related to the evaluation of the quality of the viewpoint. 3D visualization best viewpoint selection method based on particle swarm optimization algorithm was proposed. The viewpoint quality was evaluated by using the image information entropy and the image edge entropy, and the viewpoint was selected by the multi-objective intelligent optimization method. The basic flow begins with the initial viewpoint set, finding the best viewpoint by means of coding, particle evaluation, and particle update, which …
Skylight Opening Degree Prediction Method Based On Parallel Clustering,
2020
1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China;;2. Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200072, China;
Skylight Opening Degree Prediction Method Based On Parallel Clustering, Deng Li, Yu Yue, Honglin Pang, Minrui Fei
Journal of System Simulation
Abstract: To process the massive distributed data and control the agricultural facilities intelligently, a parallel Dirichlet Process Mixture Model (DPMM) clustering method was proposed based on Spark. With this method, the prediction model of greenhouse skylight opening degree was obtained by training the agricultural environmental and facilities data. The model was used to predict the greenhouse skylight opening degree. Through several comparison experiments, both the feasibility and the efficiency of the proposed parallel clustering were verified, the prediction accuracy was calculated. The experimental results show that the proposed approach has higher efficiency and accuracy.
