Research On Two-Dimensional Imaging Algorithm Of Tomography For Near-Field Radiation Of Rf Objects,
2019
1.Beihang University, Beijing 100083, China; ;
Research On Two-Dimensional Imaging Algorithm Of Tomography For Near-Field Radiation Of Rf Objects, Shaohui Quan, Changtai Shi, Xuwang Cui, Bin Shi
Journal of System Simulation
Abstract: Two two-dimensional imaging algorithms of tomography are presented for observing different sections of RF objects. Two-dimensional images of the cross and coronal sections of the model are obtained based on the near-field radiation data calculated by FEKO. The effects of different variables on the imaging resolution are studied by changing near field scanning points and distance between the observation plane and RF objects. After the analysis of the simulation results, the proposed algorithms are compared with other imaging algorithms from different aspects. The advantages and limitations are discussed. The change of images and the corresponding solution are studied …
Adaptive Generation Algorithm Of Tetrahedral Meshes Based On Density Field,
2019
1.Department of Educational Technology, Nanjing Normal University, Nanjing 210097, China; ;2.College of Computer and Information Engineering, Chuzhou University, Chuzhou 239000, China;
Adaptive Generation Algorithm Of Tetrahedral Meshes Based On Density Field, Jidong Wang, Lipeng Fan, Mingyong Pang
Journal of System Simulation
Abstract: We present an algorithm for adaptively generating tetrahedral mesh by constructing the density field of a surface model. A uniform sampled point set is first generated inside the axial bounding box of the surface model. A non-uniform density field is defined according to the surface boundary of the model. Under the control of the density field, the centroidal Voronoi tessellation of the point set is constructed by using iterative method, and the distribution of the point set is optimized adaptively via dynamically adding or deleting points. Taking the points inside the surface model as the insertion points, a tetrahedral …
Dynamics Simulation Of Breaking Underwater Cable Based On Lumped Mass Method,
2019
Navigation College, Dalian Maritime University, Dalian 116026, China;
Dynamics Simulation Of Breaking Underwater Cable Based On Lumped Mass Method, Zhongxian Zhu, Yin Yong, Helong Shen
Journal of System Simulation
Abstract: In order to numerically simulate and predict the dynamics behavior of a breaking cable, the dynamics model of the underwater cable is built up based on the lumped mass method, and the classical Runge-Kutta method is used to solve the model. The breaking cable is simulated by exerting appropriate boundary conditions. The dynamics behaviors of immediately and slowly breaking cable are studied. The results indicate that the velocity of the nodes around the breaking point reaches the maximum in a very short time, and then the disturbance propagates outside in form of elastic-wave. Tension and velocity distribute more uniformly …
Invulnerability Simulation Analysis Of Compound Traffic Network In Urban Agglomeration,
2019
1.School of Transportation, Inner Mongolia University, Hohhot Inner Mongolia 010070, China; ;
Invulnerability Simulation Analysis Of Compound Traffic Network In Urban Agglomeration, Chengbing Li, Wei Lei, Tianwei Lu, Gao Wei
Journal of System Simulation
Abstract: To ensure the security operations of urban agglomeration transportation system, the perspective on compound network is used to explore the invulnerability of urban agglomeration traffic network. The site mapping method is used to build the model of weighted compound traffic network in city agglomeration. The traditional invulnerability metrics is revised and the attack strategies are determined according to the structure of the network. Hu-Bao-E city agglomeration is taken as an example to build the weighted compound traffic network model which is composed of road network and rail transit network, simulating the invulnerability and identifying key nodes in the …
From Situation Cognition Stepped Into Situation Intelligent Cognition,
2019
1.National Defense University of PLA, Beijing 100091, China; ;2.No.93682 Unit of PLA, Beijing 101300, China; ;
From Situation Cognition Stepped Into Situation Intelligent Cognition, Zhu Feng, Xiaofeng Hu, Wu Lin, Xiaoyuan He, Xuezhi Lü, Liao Ying
Journal of System Simulation
Abstract: Aimed at operational situation cognition and some relevant problems under the background of the Joint-Tactical, some deep researches are carried out in this paper. The concept models of combat situation cognition and situation intelligent cognition are proposed respectively, and some related concepts are clarified. The situation intelligent cognition technology framework is proposed, and five key problems which should be solved are analyzed, and the possible technical routes are given. These research contents and achievements build a foundation for stepping into the situation intelligent cognition from combat situation cognition.
Security Evaluation Techniques And Network Performance Simulation Based On Queue Model,
2019
1.School of Computer Science and Technology, Xidian University, Xi’an 710071, China; ;
Security Evaluation Techniques And Network Performance Simulation Based On Queue Model, Lifang Liu, Lisha Zhao, Xiaogang Qi, Xiong Wei
Journal of System Simulation
Abstract: With the booming development of Internet technology, network security threats force every country to pay more and more attention to network security. By analyzing and summarizing the principles of network security threats, three kinds of proactive security threats are proposed in this paper, including saturation security threats, deleting security threats, and tampering security threats. OPNET is employed as the simulation tool to establish multi-service communications network model, in which the node are based on the queuing theory model. In addition, different traffic intensity parameters are designed to simulate the network performance under various running situations. Fuzzy comprehensive evaluation …
Multi Criterion Variable Weight Comprehensive Evaluation Method Of Guidance And Control System,
2019
Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China;
Multi Criterion Variable Weight Comprehensive Evaluation Method Of Guidance And Control System, Yuxiao Wang, Songyan Wang, Chao Tao, Yang Ming
Journal of System Simulation
Abstract: The evaluation of guidance and control system is necessary in the process of vehicle development. In view of lacking of effective comprehensive evaluation methods and the corresponding auxiliary software, the performance evaluation methods of vehicle guidance and control systems are researched, the structure of the system is analyzed, and a hierarchical performance evaluation index system is established. Considering the varying degrees of the data reliability and independence of each index, a variable-weight comprehensive method with multi-criteria is proposed. A performance evaluation example of vehicle guidance and control system is given which shows that the proposed method weights the …
Multi-Scale Representation Of Battlefield Situation,
2019
Nanjing Research Institute of Electronics Technology, Nanjing 210039, China;
Multi-Scale Representation Of Battlefield Situation, Yafeng Huang, Xudong Li, Hangfeng Zhang
Journal of System Simulation
Abstract: This paper studies the multi-scale representation of battlefield situation at the conceptual level in different aspects, such as the concept of situation scale, scale transformation and typical styles of multi-scale representation. The scale of battlefield situation as the Cartesian product of two sets is defined, in which the first set contains space, time, and semantics; the other set contains breadth, granularity, and ratio. The scale transformation is classified into two types: scale downward and scale upward. The scale transformation is decomposed into three basic operations, i.e. breadth transformation, transformation and visualization derivation. The study points out that FIOP, LOD …
Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution,
2019
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Baoding 071003, China;
Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution, Yafei Jia, Yongli Zhu, Liuwang Wang
Journal of System Simulation
Abstract: To effectively analyze the time-frequency characteristics of partial discharge signals of high voltage electrical equipment, a novel time-frequency analysis method based on variational mode decomposition (VMD) and Wigner-Ville distribution (VMD-WVD) was proposed, which effectively solves the problem of cross term interference in the Wigner-Ville distribution method. The known partial discharge signals were decomposed by VMD and the mode components were extracted. These Wigner-Ville distributions of mode components were computed and the Wigner-Ville of each component signal was added linearly to reconstruct the Wigner-Ville of the original signal. The proposed method was applied to analyze simulation signals and measured partial …
Improved Cpls Algorithm And Its Application In Process Monitoring,
2019
Key Laboratory of Advanced Process Control for Light Industry Ministry of Education, Jiangnan University, Wuxi 214122, China;
Improved Cpls Algorithm And Its Application In Process Monitoring, Qinghua Li, Pan Feng, Zhonggai Zhao
Journal of System Simulation
Abstract: Concurrent PLS (CPLS) further extracts information from the residuals of input variables and quality variables drawn by PLS, thus the raw data are projected into five subspaces. The process monitoring based CPLS provides a whole framework for the monitoring of input variables and quality variables. The model for residuals is developed by a deterministic manner while the residuals are inherently stochastic; therefore a probabilistic model is more proper for describing their features. This paper introduces factor analysis (FA) into CPLS, in which FA instead of PCA is used to analyze the residuals to develop the improved CPLS model, and …
Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter,
2019
School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China;
Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter, Zhu Jun, Xiangjun Li, Rongbing Fu, Yuhang Wu, Tian Miao
Journal of System Simulation
Abstract: UsingextendedKalmanfilter (EKF) to estimate the position of permanent magnet linear synchronous motor(PMLSM), the model is not accurate, the noise properties areuncertain,and may lead to the problem of filtering divergence.Adouble forgetting Kalman filter (DFKF) method was proposed. Adaptive fading factor on the basisof EKF was introduced to achieve the first forgetting,andthe Sage-Husa adaptive filter algorithm was introduced to realize the second forgetting. The experiments show that DFKF diminishesaccording to the law of sineregardless synchronous speed change or load mutation;the stable error is 0.469% or 0.943% before or after the load mutation; the final error stabilizes near 0.167%;the …
Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks,
2019
Joint War College, National Defense University of PLA, Beijing 100091, China;
Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu
Journal of System Simulation
Abstract: Aiming at the difficulty of feature extraction and related generation mechanism analysis for complex Air Defense System of Systems (ADSOS) using traditional data mining method, a novel situation assessment approach based on Force-Sparsed Stacked-Auto Encoding Neural Networks (FS-SAE) is proposed. Combined with big data and complex networks technology, FS-SAE situation assessment model is built. The emergence relations between the capacity indexes of ADSOS are formalized. And then, the formation mechanism and the contribution rate of capacity indexes are studied and the validity of this approach is validated by the simulation data. The experimental results show that formalized presentation …
A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition,
2019
1.Information Engineering University, Zhengzhou 450001, China; ;
A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition, Yi Zhuo, Liao Ying, Xiaofeng Hu, Xuehui Du, Zhu Feng
Journal of System Simulation
Abstract: To address the issues of large feature space, numerous model parameters and slow training speed in coordinated operation action recognition, a coordinated operational action recognition method based on a deep spatio-temporal recurrent neural network is proposed. In this method, a warped region generation mechanism is introduced to divide the whole battlefield into sub-battlefield. Meanwhile, a hierarchical recurrent neural network is constructed using spatio-temporal graph model, which is applied to the generated sub-battlefield to recognize coordinated operational action. Additionally, the recognized coordinated operational actions of sub-battlefields are merged to find out all coordinated operational actions based on the principle of …
Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata,
2019
School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;
Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen
Journal of System Simulation
Abstract: In view that forestry fire has the nature of multi-phase and multi-component, a forestry fire spatial diffusion model based on multi-agent algorithm with cellular automata is proposed. A method based on Wang Zhengfei-CA model is employed to approximately simulate the spread of forestry fire. On the basis of the status transition rule determined by CA and using the self-learning and variation methods of multi-agent algorithm, the measured forestry fire pattern is most similar to CA rule-driven evolution model and the CA rule can be automatically optimized. By comparatively analyzing the simulation results of the traditional Rothermel model and the …
Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community,
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,
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 …
Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface,
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 …
Optimizing Control Of Total Heat Supply Based On Machine Learning,
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,
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 …
Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard,
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, …
