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Full-Text Articles in Entire DC Network
Motion Reconstruction And Simulation Using Sparse Inertial Sensors, Lijun Cui, Tianyu Huang, Feng Feng, Zhang Jie, Yang Kai, Liu Dong
Motion Reconstruction And Simulation Using Sparse Inertial Sensors, Lijun Cui, Tianyu Huang, Feng Feng, Zhang Jie, Yang Kai, Liu Dong
Journal of System Simulation
Abstract: A method was proposed to reconstruct high-dimensional full-body motion sequences from low-dimensional control data collected by sparse inertial sensors. The approach solved the mapping problem from low dimension to high dimension. A numerical similarity- geometrical similarity-time continuity model was setup to ensure the reconstructed motion candidates in numerical-logical similarity. The gap between angle and angular acceleration was eliminated by acceleration reconstruction. An energy function was introduced to optimize the reconstructed results which guaranteed the accuracy. The analysis and comparison experiments show that the proposed method can reconstruct nature and credible motions in real-time and can be applied …
Business Process Modeling Algorithm Based On Ontology Language, Huang Ying, Kangshun Li, Li Wei, Keqing He
Business Process Modeling Algorithm Based On Ontology Language, Huang Ying, Kangshun Li, Li Wei, Keqing He
Journal of System Simulation
Abstract: In the view of problem in lack of information sharing mechanisms at the semantic level among processes, a business process modeling algorithm based on ontology language using concept hierarchy as background knowledge was proposed. The business process modeling by traditional business process languages can be transferred to ontology language (OWL) description so as to realize the semantic sharing of business process. The approach has two main advantages compared with traditional methods: (1) accelerating the building process, minimizing the conversion cost; (2) background knowledge guides the extraction of knowledge resided in database. As a way of validating the approach, part …
Measurement Error Correction Model Of Tof Depth Camera, Le Wang, Luo Yu, Haikuan Wang, Minru Fei
Measurement Error Correction Model Of Tof Depth Camera, Le Wang, Luo Yu, Haikuan Wang, Minru Fei
Journal of System Simulation
Abstract: 3D data intuitively reflects the full view of the target or scene. Time of Flight (ToF) camera is a range imaging sensor that can provide 3D geometric information of targets immediately, thus it is widely applied in the robot positioning and navigation, 3D reconstruction and other aspects etc. Due to the operational principle of the camera itself, there are variety measurement errors of the source data obtained by ToF, resulting in image distortion. The measurement errors in the imaging process of ToF camera were analyzed and summarized, and the cubic spline interpolation method combined with look-up table was proposed …
Modeling Of Spectrum Sensing Energy Consumption In Cognitive Radio Networks, Ziru Cui, Peng Yi
Modeling Of Spectrum Sensing Energy Consumption In Cognitive Radio Networks, Ziru Cui, Peng Yi
Journal of System Simulation
Abstract: In cognitive radio networks, the energy consumption in the process of spectrum sensing is the hot spot of research. A unified framework for modeling based on Poisson process was developed which could be used even under interference limited to count the energy consumption, thereby obtaining a spectrum sensing energy consumption. Spectrum sensing energy as the function of the number of secondary users in cognitive radio networks, their spatial density and the number of hops, could be modelled as a truncated gamma distribution. This model is used to statistically analyze cognitive users' energy consumption in the process of spectrum sensing …
Sliding Mode Auto - Disturbance Rejection Control Of Hypersonic Vehicle Under Disturbance, Mingzhi Cheng, Yunjie Wu, Ma Fei
Sliding Mode Auto - Disturbance Rejection Control Of Hypersonic Vehicle Under Disturbance, Mingzhi Cheng, Yunjie Wu, Ma Fei
Journal of System Simulation
Abstract: The strong coupling of the hypersonic vehicle, the high order of the model, and the perturbation of the aerodynamic parameters make it difficult for the general controller to achieve the desired control effect. The self-disturbing tandem technique can well meet the requirements of the high-order model control. The use of sliding mode variable structure technology which is not sensitive to perturbation of parameters can enhance the system immunity. The simulation results show that the control effect is very good.
Complexity Analysis Of Joint Operational Network Information System, Peng Jun, Mingzhi Zhang
Complexity Analysis Of Joint Operational Network Information System, Peng Jun, Mingzhi Zhang
Journal of System Simulation
Abstract: Based on the theory of complex networks, the structure and characteristics of joint operational network information system (JONIS) were analyzed from the perspectives of heterogeneous directional weighted network topology, strong degree and its centralities. It is found that the combat network based on JONIS has characteristics of small-world and scale-free, with a large average weighted aggregation coefficient and a small average weighted path length, showing a similar power-law distribution. In the example network, command centers, satellites, support force, and early warning unit all have larger strong degrees and centralities. These platforms as the center of gravity and fragile nodes …
Performance Evaluation Method Based On Satisfactory Degree For Air-Information Fusion System, Xiaochao Wu, Li Dong, Zhang Xing, Zhenyu Huang, Liu Bo
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, Xiaolong Yang, Hongtao Liang, Fengju Kang, Gu Hao
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, Zhang Hui, Sijin Wu, Cheng Jian
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, Pang Shan, Xinyi Yang, Xuesen Lin
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, Geng Chao, Shiyou Qu, Yingying Xiao, Guoqiang Shi, Tingyu Lin, Liqin Guo, Xiaowei Wang
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, Jianqiang Gao, Zhang Chen
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, Shaowen Lu, Xiaochuan Luo
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, Yingping Yi, Bogang Qu, Zhang Yang
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, Yisi Kong, Xiaofeng Hu, Zhu Feng, Jiuyang Tao
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, Yanyang Zeng, Yunxia Feng, Wentao Zhao
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, Zhengxiong Wu, Guo Gang, Duan Hong
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, Suike Li, Jianhua Xiang, Haijun Wang, Mingzhi Zhang, Li Yi
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, Xuezhi Lü, Lisheng Chang, Xianwen Wang, Xinhui Zhao
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, Zhu Feng, Xiaofeng Hu, Xiaoyuan He, Yisi Kong, Yang Lu
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, Shilong Wang
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, Wang Biao, Chen Feng, Lu Li
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, Denghui Zhang, Chao Tao, Songyan Wang, Ma Ping
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, Jianfei Ding, Guangya Si, Yafeng Shi, Liu Yi
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, Panpan Jia, Yanyang Zeng, Yunxia Feng
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, Deng Li, Yu Yue, Honglin Pang, Minrui Fei
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.
Two Power Sliding Mode Neural Network Compensation Control For Space Robot After Target Capturing, Cheng Jing, Chen Li
Two Power Sliding Mode Neural Network Compensation Control For Space Robot After Target Capturing, Cheng Jing, Chen Li
Journal of System Simulation
Abstract: The impact analyses of space robot capturing a target and stability control problem in the post-impact process were discussed. The dynamic models of space robot system and target were derived by multi-body theory. The impact effect of rigidcouplingmodel was analyzed by applying geometric relationship and principle of momentum conservation. Atwo power sliding mode neural network control scheme was proposed for the combined system after acquiring with uncertain system parameters and external disturbance. The convergence speed of the control system was guaranteed by applyingtwo power sliding mode reaching raw, and the uncertain part was compensated by using neural …
Sar Object Recognition Based On Multi-Band And Multi-Polarization Simulation Image, Gu Yu, Zhang Qin, Xu Ying
Sar Object Recognition Based On Multi-Band And Multi-Polarization Simulation Image, Gu Yu, Zhang Qin, Xu Ying
Journal of System Simulation
Abstract: The object model was built based on Creator, and object texture-material mapping was performed by Vega TMM tool. The multi-band and multi-polarization SAR image database was built by visual simulation technology. A hybrid intelligent optimization algorithm was designed to optimize combination of band and polarization by genetic algorithm and binary particle optimization. Zernike moment features, Gabor wavelet coefficients, etc were extracted from original image and rectified image to make up of feature candidates, and the feature selection experiments were carried out by using multi-band and multi-polarization SAR images. Simulation results demonstrate that, building SAR image database through simulation …
Research And Implementation Of Question Answering System Oriented Wargaming Based On Aiml, Zejian Sun, Guangya Si, Liu Yang
Research And Implementation Of Question Answering System Oriented Wargaming Based On Aiml, Zejian Sun, Guangya Si, Liu Yang
Journal of System Simulation
Abstract: Wargaming exercise is an important means of combat simulation, but the high query and operation threshold of wargaming system limit its use and extension. Through investigating the actual operation process of a wargaming exercise, collecting and analyzing the trainees use requirements, the intelligent question answering system centering on access to the database by making knowledge documents, index tables and access modules was designed based on AIML(Artificial Intelligence Markup Language) and ALICE program, adopted heuristic rules. The implementation of question answering system made commanders participating in wargaming query data by natural language, provided ideas for the further improvement of wargaming …
Brief Technical Analysis Of Malicious Cyber Attacks In Power System, Yan Ru, Minrui Fei, Dajun Du
Brief Technical Analysis Of Malicious Cyber Attacks In Power System, Yan Ru, Minrui Fei, Dajun Du
Journal of System Simulation
Abstract: The power system is responsible for providing electric power to the society. Whether its operation is safe and reliable or not is directly related to the economic livelihood and national security. The malicious cyber-attacks happening on power systems in recent years were summarized, the attack methods used in malicious attack were enumerated, and the complexity and diversity of attack methods were analyzed. The vulnerability of the power system at present was pointed putting forward the corresponding measures to ensure the safe and stable operation of power system. Experimental simulation is designed to analyze the attack methods. The future research …