An Anti-Occlusion Adaptive Particle Filtering Algorithm,
2019
1. School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China;;2. Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China;;
An Anti-Occlusion Adaptive Particle Filtering Algorithm, Li Ju, Mingwei Cao, Yu Ye, Xia Yu, Lifan Zhou
Journal of System Simulation
Abstract: Considering the influence of local occlusion on particle filter tracking algorithm, an anti occlusion adaptive particle filtering algorithm is proposed. It adopts a rectangle as the tracking window, and uses the K mean clustering algorithm to complete particle clustering in resampling, and then obtains the particle subgroup. It estimates the final state according to particles subgroups, and modifies the tracking window. When the area changes more than 5%, the tracking window maintains the same as the one in last frame. Otherwise, the tracking window will change according to the size of moving object, which is a self-adaptation process. At …
Scenario Computing For Analysis Of Deep Uncertainty Systems,
2019
1. Department of Engineering Physics, Institute of Public Safety, Tsinghua University, Beijing 100084, China; ;
Scenario Computing For Analysis Of Deep Uncertainty Systems, Liu Yi, Gangqiao Wang, Zhipeng Wu, Zhenqiang Fan, Yongqiang Chen
Journal of System Simulation
Abstract: A method of scenario computing is developed for modeling systems with deep uncertainty. The method consists three complementary parts: hybrid modelling, diverse computing, and interactive validation. Hybrid modelling is to dynamically develop models with merging historical knowledges and observed information. Diversity computation is to simulate multiple plausible scenarios about system future. Interactive validation helps scenario computing process being on the right way instead of deviating. Two cases are provided in this paper applying scenario computing, one is earthquake and the other is driving and transportation. The results show good performance of scenario computing method in modeling uncertainty systems.
Mathematical Modeling And Simulation Of Hydraulic Gauge Control System,
2019
1. School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China; ;2. Metallurgical Automation and Detection Technology ERC of Education Ministry, Wuhan University of Science and Technology,Wuhan 430081,China; 3.Equipment Maintenance Plant, WISCO, Wuhan 430080, China;
Mathematical Modeling And Simulation Of Hydraulic Gauge Control System, Weigang Li, Guilin Tao
Journal of System Simulation
Abstract: On the basis of hydraulic valve control cylinder model and combining with the structure and load characteristics of the hydraulic gauge control system (HGC), a “flow linearization” model for HGC was presented and the shortcomings of the model in analyzing the dynamic characteristics of HGC were pointed out. In view of the characteristics of the large load variation range of HGC and according to the principle of “load compensation”, the flow correction coefficient and the related transfer function were analyzed and deduced, and the mathematical model of HGC based on “load compensation” was established. Combined with a practical …
Simple Chaotic Circuit Based On Memristance Function With Real Exponents Power,
2019
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Simple Chaotic Circuit Based On Memristance Function With Real Exponents Power, Xiaohong Zhang, Yanli Qi
Journal of System Simulation
Abstract: The simplest chaotic circuit contains only three circuit elements: a linear passive inductor, a linear passive capacitor and a nonlinear active memristor. In the design of memristors, power of memristance function polynomial with integral exponents is commonly used. On this basis, a general memristor is designed, of which the memristance function polynomial uses power with real exponents, a simple chaotic system is constructed based on the designed memristor. The influence of integral exponents, real exponents and linear parameters on dynamic behaviors is investigated, and chaotic behaviors are analyzed qualitatively using Lyapunov exponents. The Matlab and Multisim simulation results show …
Simulation Research Of Closed Control System For Equipment Operation And Maintenance With Parts Inventory System,
2019
School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China;
Simulation Research Of Closed Control System For Equipment Operation And Maintenance With Parts Inventory System, Li Bing, Wang Xing, Xuan Hua, Xueyuan Wang
Journal of System Simulation
Abstract: The highly reliable equipment operation and maintenance system is very important to enterprise’s safety production. The control system for equipment operation and maintenance with a parts inventory system is generally discussed. The proposed system is composed of a parts inventory subsystem, an equipment operation subsystem and an equipment maintenance subsystem as parallel and series form. And the control system belongs to a multi-level closed loop system. The system is a kind of discrete event dynamic system. So it is difficult to be described with traditional mathematical analysis methods. The multi-class closed control system simulation model is established with Simulink …
Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm,
2019
1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100049, China;
Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm, Wang Juan, Xiaoyu Yang, Zongguo Wang, Ren Jie, Xushan Zhao
Journal of System Simulation
Abstract: In order to obtain high quality material simulation data from Density Functional Theory material calculation software package, a modeling method based on BP neural network was proposed to build model estimating the error of material simulation data. A novel hybrid algorithm combining simple particle swarm optimization algorithm that excludes speed item with BP algorithm, also referred to tsPSO-BP, was proposed to optimize the connection weights of the BP neural network. The hybrid learning algorithm not only makes use of strong global searching ability of the PSO, but also strong local searching ability of the BP algorithm. The BP …
Research On Fault-Tolerant Flight Control Computer System Based On Dynamic Reconfiguration,
2019
1. Tianjin Key Laboratory of Civil Aircraft Airworthiness and Maintenance, Civil Aviation University of China, Tianjin 300300, China; ;
Research On Fault-Tolerant Flight Control Computer System Based On Dynamic Reconfiguration, Xiaozhe Sun, Zongji Chen, Yongliang Gu
Journal of System Simulation
Abstract: The fault-tolerant Fly-By-Wire flight control systems of four advanced aircrafts of Boeing and Airbus series (B777, B787, A340 and A380) were analyzed and compared. The disadvantages needed to be improved were explored in terms of software reliability and system reconfiguration of Boeing and Airbus Fly-By-Wire flight control systems. A novel redundant fault-tolerant flight control computer (FCC) system was presented. The proposed FCC scheme was qualitatively and quantitatively compared with redundant FCC of Boeing and Airbus. The three schemes' reliability was modelled and evaluated through the hierarchical hybrid modelling method. The conclusions are obtained as follows: the proposed …
Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application,
2019
College of Flight Technology, Flight University of China, Guanghan 618307, China;
Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application, Weian Jiang
Journal of System Simulation
Abstract: For better simulated study of pilot’s accident avoidance ability and pilot induced oscillation (PIO) characteristic of a man-aircraft close loop system, a method of “physiology-psychology-physiology” is presented to divide pilot models into three parts of input(signal), processing(decision making) and output(action), and a new multi-dimension proportion-differential nonlinear pilot model (MPDNLPM) is presented also. Simulated study is performed by simulated control of an aircraft pitch control model under backside tracking status for carrier landing. Conclusion: 1) The control performance of the man-aircraft system is slightly better than an ideal proportional control. 2) PIO is possible for well-trained pilot. 3) Proper anticipation, …
Simulation Research On Predictive Wavelet Neural Network Intelligent Control System,
2019
1. Information College, Capital University of Economics and Business, Beijing 100070, China; ;
Simulation Research On Predictive Wavelet Neural Network Intelligent Control System, Jingwei Liu, Zhou Rui, Zhao Hui, Minling Zhu, Xianghua Meng, Yuhao Zhang
Journal of System Simulation
Abstract: In order to realize control parameters online tuning and optimizing applications in the high risk and high pollution environment, vector time series prediction based intelligent control methods are proposed, which are combined autoregressive moving average vector time series predictive method and wavelet neural network method. Based on theoretical and comparative research: feasibility, stability, better dynamic characteristics, less steady-state error of the proposed methods are verified. A comparative simulation platform for the above intelligent control system is provided. Stability guarantee method of the above new methods is given.
Hybrid Decoding Algorithm For Low-Density Parity-Check Codes,
2019
Yantai Nanshan University, Yantai 265713, China;
Hybrid Decoding Algorithm For Low-Density Parity-Check Codes, Guowei Qu, Xiaoping Song
Journal of System Simulation
Abstract: A hybrid decoding algorithm for low-density parity-check (LDPC) codes based on the soft-decision iterative decoding method and the erasure decoding method is proposed. If a decoding error is detected when the maximum iteration number of the soft-decision iterative decoding is reached, a decision is made on each bit whether it is zero or one or an erasure according to the cumulative reliability of the bit in the iterative process. Then the decision result is decoded with erasure decoding. Simulation results on random LDPC codes with moderate length indicate that the proposed hybrid decoding algorithm outperforms the traditional soft-decision iterative …
Trust Evaluation Model Based On Fuzzy Set And D-S Evidence Theory In Wireless Sensor Network,
2019
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, 214122, China;
Trust Evaluation Model Based On Fuzzy Set And D-S Evidence Theory In Wireless Sensor Network, Zhiping Zhou, Xiaoxiao Zhao, Nannan Shao
Journal of System Simulation
Abstract: A trust evaluation model based on fuzzy set and D-S evidence in wireless sensor network is proposed. Considering security requirements and energy consumption, three typical trust factors are defined to calculate node’s direct trust which is for fuzzy classification by using fuzzy set theory. Fuzzy membership function is the basic belief function of the D-S evidence theory. Indirect trust is obtained from neighbor nodes’ recommendations, the direct trust and indirect trust are fused according to Dempster combination rule after being amended with weight. The effective combination of identity-based cryptosystem and the trust management mechanism improve the security …
Forestry Felling & Cultivation Machine Virtual Training System Based On Unity3d,
2019
School of Engineering, Beijing Forestry University,Beijing 100083, China;
Forestry Felling & Cultivation Machine Virtual Training System Based On Unity3d, Bowen Cheng, Yili Zheng, Qingqing Huang, Jinhao Liu
Journal of System Simulation
Abstract: A forestry felling & cultivation machine virtual training system based on Unity3D was developed. The models of forestry felling & cultivation machine were built up using 3dsMAX with the assistance of SolidWorks based on a forestry felling & cultivation machine. The models of forestry felling & cultivation machine and trees were imported into Unity3D to create a virtual operating environment. Each part of forestry felling & cultivation machine needs to be processed for the establishment of paternity in accordance with the simulation, the corresponding mathematical model was established to simulate the motion of the manipulator based on the analysis …
Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn,
2019
School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China;
Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song
Journal of System Simulation
Abstract: With the rapid development of smart grid, the status monitoring data of power grid equipment increase exponentially and gradually form the big data. Traditional computing architectures are no longer to meet the demand of computing performance. This paper explores how Spark and Cloud computing can accelerate performance of missive insulator leak current data pattern recognition. The Parallel KNN (k-Nearest Neighbor) algorithm is designed and implemented by using Spark and Aliyun E-MapReduce cloud computing platform. The results from experiments show that the performance of Spark-KNN is 2.97 times of MapReduce-KNN and gains acceleration of 8.8 times. The experimental results confirm …
Stress Distribution Formula Of Threads Casing Joint Under Symmetrical Load,
2019
1. Mechanical and Electrical Engineering of Southwest Petroleum University, Chengdu 610500, China; ;
Stress Distribution Formula Of Threads Casing Joint Under Symmetrical Load, Tong Hua, Xiaohong Tang, Xiaohua Zhu, He Huan, Haoran Tao
Journal of System Simulation
Abstract: While itis difficult tomeasure thestress distribution of casing threads underground without calculation by finite element method. Here assumes a deformation compatibility factor Ux, use an initial calculation to represent the thread stress, f(x)=f0Ux, and applythe ABAQUS finite element software to calculate the stress distribution of the threads under different symmetrical loads. Obtain the expressions of Ux by curve fitting, and get the threads stress calculation formula to provide an intuitive, fast and accurate method of calculation for the site. Providea theoretical reference for development and manufacture of casing …
Overview Of Multi-Agents Modeling And Simulation For Underwater Unmanned Combat Systems,
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 …
Numerical Simulation Of Borehole Stability In Underbalanced Drilling Coal Seam,
2019
1.Beijing Key Laboratory of High Dynamic Navigation Technology, University of Beijing Information Science & Technology, Beijing 100101, China; ;
Numerical Simulation Of Borehole Stability In Underbalanced Drilling Coal Seam, Yumei Li, Su Zhong, Zhang Tao, Delong Zhang, Liwei Yu, Si Na
Journal of System Simulation
Abstract: According to the formation parameters of No.3 coal seam in the Qinshui Basin, Shanxi Province, considering the interaction between seepage and deformation in the borehole wall of coal seam, using the finite element method for establishing the stable elastoplastic numerical model of the borehole in coal seam,the variation of pore pressure near the wellbore wall with the seepage time and the effect of time delay on wellbore stability under underbalanced drilling condition were studied. The variation law of maximum displacement and maximum plastic deformation around borehole wall with bottom pressure were analyzed. The simulation results show that there …
Permanent Magnet Synchronous Motor Multi-Parameter Identification Based On Improved Salp Swarm Algorithm,
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 …
Improvement Of Grey Target Algorithm And Its Application In Assessment Of Marine Gas Turbine,
2019
School of System Engineering, National University of Defense Technology, Changsha 410073, China;
Improvement Of Grey Target Algorithm And Its Application In Assessment Of Marine Gas Turbine, Tongqing Wang, Mei Shan, Xiaobo Li, Jiajie Liu
Journal of System Simulation
Abstract: In the modern shipbuilding industry, gas turbines are increasingly becoming the main power supply devices for ships with their good overall performance. The assessment of their overall performance is very important in the development and introduction of gas turbines. By using the grey target theory, a comprehensive gas turbine performance evaluation model is constructed and the grey target method can easily deal with the evaluation problem which has the characteristics of "small amount of data, lean information, and uncertainty". By discussing the influence of distinguishing coefficient in the algorithm, a method for determining the value of the distinguishing coefficient …
Impact Of Attractiveness And Influence Of Information On Cascade Size Distribution,
2019
National University of Defense Technology, Changsha 410073, China;
Impact Of Attractiveness And Influence Of Information On Cascade Size Distribution, Dong Jian, Bin Chen, Liu Liang, Chuan Ai, Zhang Fang, Xiaogang Qiu
Journal of System Simulation
Abstract: The distribution of the cascade size can capture the distribution of popularity of a social network. Numerous studies have shown that the cascade size distribution follows fat-tail distributions, including power-law distribution and bimodal distribution; The underlying characteristic of this highly skewed distribution lacks quantitative experimental analysis. Based on the heterogeneous stochastic information dissemination model, namely the SVRF model, this paper examines the impact of the information attractiveness and influence on the cascade size distribution through lots of computational experiments. We find that when the mean value of the information influence and attractiveness is small, the cascade sizes follow …
Simulation Analyzing For Drawing Up Methodology Of Cooperative Train Working Diagram And Route Allocation Plan,
2019
Traffic Management Department, Zhejiang Police College, Hangzhou 310053, China;
Simulation Analyzing For Drawing Up Methodology Of Cooperative Train Working Diagram And Route Allocation Plan, Zhou Yan
Journal of System Simulation
Abstract: The quality of the train diagram directly affects the efficiency of the transport operation and management. Though the inadequacies of computer drawing train working diagram were reviewed, an integrated drawing up methodology of train diagram and train route allocation plan was put forward to optimize the allocation of resources, based on the interaction relationship of train diagram and train route allocation plan. On that basis, the overall state transition adjustment algorithm, which consists of the “full timetable” result and collaborative model route allocation plan, was also proposed. Finally, the prototype system framework based on .NET was described, and the …
