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Synthetic Aperture Ultrasonic Imaging Algorithm Based On Robust Capon Beamforming In Eigenspace, Yecai Guo, Xiaoxing Ji 2019 1. College of Electronic and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;; ;2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China;;

Synthetic Aperture Ultrasonic Imaging Algorithm Based On Robust Capon Beamforming In Eigenspace, Yecai Guo, Xiaoxing Ji

Journal of System Simulation

Abstract: In order to lower the main lobe width and side lobe amplitude of SAF beams ,improve the robustness of ultrasound imaging algorithm, resolution, contrast in images, a synthetic aperture ultrasonic imaging algorithm based on robust Capon beamforming in eigenspace is proposed. Under the principle of MV, this algorithm firstly uses the Toeplitz to realize the reconstruction of the interference-noise covariance matrix and keep it nonsingular. Secondly, the vector error is constrained by the signal subspace and the elliptic constraint set in feature space. Finally, the optimal weight vector which is used to weight and image the echo data is …


Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System, Dong Ze, Ma Ning 2019 1. Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;; ;

Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System, Dong Ze, Ma Ning

Journal of System Simulation

Abstract: In order to accurately estimate the unknown parameters for fractional order chaotic systems, a quantum particle swarm optimization algorithm based on differential quantum properties is proposed. On the basis of quantum behaved particle swarm optimization, variation, crossover and selection operation are utilized by particles, which can better keep the diversity of the particles in the population, avoiding the local optimum in the later phase of the iteration. The multi-neighborhood local search strategy is used for particles’ local search to improve search precision. Standard test functions are used to test the algorithm, and the test results show that the …


The Simulation Of Ac Servo Network Control System, Wang Lin, Chongquan Zhong 2019 1. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China; ;2. School of Electrical and Information Engineering, Dalian Jiaotong University, Dalian 116028, China;

The Simulation Of Ac Servo Network Control System, Wang Lin, Chongquan Zhong

Journal of System Simulation

Abstract: The networking trend of AC servo system is becoming more and more remarkable. The research on permanent magnet synchronous motor(PMSM) mainly focuses on the continuous improvement of control strategy. It is rarely combined with solving real network delay and packet loss problems. The vector control strategy of PMSM is studied. In view of the delay and packet loss in the network environment, the mathematical model of network control system (NCS) is derived, and a simulation model based on TrueTime and Simulink is established to simulate the delay and packet loss phenomenon in the network transmission. The results show that …


Multi-Objective Model Of Distribution Route Problem For Fresh Electricity Commerce Under Uncertain Demand, Zhang Qian, Xiong Ying, Mingke He, Zhang Hao 2019 1. Beijing Technology and Business University, Beijing 100048, China; ;

Multi-Objective Model Of Distribution Route Problem For Fresh Electricity Commerce Under Uncertain Demand, Zhang Qian, Xiong Ying, Mingke He, Zhang Hao

Journal of System Simulation

Abstract: Considering the distribution cost, freshness of fresh products, carbon emissions and customer demand uncertainty and other factors, a multi-objective optimization model of distribution path planning is established. Based on the robust optimization method for dealing with uncertain problems, the multi-objective model of distribution routing planning is optimized for the situation that the discrete demand belongs to the uncertainty set of ellipsoid. The model is solved by using the main target method and fruit fly algorithm. It is proved that the model and algorithm are robust and can effectively suppress the disturbance caused by the uncertainty of the demand. This …


Research On Urban Rail Transit Route Choice Decision Based On The Improved Imperialist Competition Algorithm, Xiaofeng Lian, Ye Lu, Wang Yan, Limin Jia, Huiru Ma 2019 1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China; ;

Research On Urban Rail Transit Route Choice Decision Based On The Improved Imperialist Competition Algorithm, Xiaofeng Lian, Ye Lu, Wang Yan, Limin Jia, Huiru Ma

Journal of System Simulation

Abstract: This paper proposes a method of passenger route selection based on the imperialist competition improvement algorithm (FAST-ICA) to improve the efficiency of passenger route selection. Six key factors influencing the choice of passenger route are selected. On this basis, the generalized travel cost function is constructed and the passenger route selection model is established. By improving the imperial competition way in the imperialist competition algorithm (ICA), the weakest imperial groups are quickly divided up in each iteration of ICA algorithm to accelerate the convergence rate. Based on the proposed FAST-ICA algorithm, the problem of passenger choice in different environments …


Multi-Channel Transmission Optimization Of Campus Internet Of Things Based On Pheromone Genetic Algorithm, Zhiyong Chen, Liu Hao 2019 1. Educational Technology and Information Center, Guangdong Medical University , Zhanjiang 524023, China; ;

Multi-Channel Transmission Optimization Of Campus Internet Of Things Based On Pheromone Genetic Algorithm, Zhiyong Chen, Liu Hao

Journal of System Simulation

Abstract: Aiming at the difficulty in selecting and optimizing the multi-path transmission of campus Internet of Things information, an optimization algorithm of network multi-path transmission based on intelligent optimization algorithm is proposed. Based on the standard genetic algorithm and the concept of pheromone concentration in ant colony algorithm, this algorithm improves the global optimization ability and convergence efficiency by controlling the evolution direction of individuals, and designs and constructs an evaluation index mathematical model which conforms to the characteristics of multi-channel information transmission optimization in the Internet of Things. The mathematical model of the evaluation index realizes the multi-channel comprehensive …


Wood Surface Defect Detection Based On Adaboost And Cnn, Hongjun Wang, Zouzou Li, Xiangjun Zou 2019 College of Engineering, South China Agricultural University, Guangzhou 510642, China;

Wood Surface Defect Detection Based On Adaboost And Cnn, Hongjun Wang, Zouzou Li, Xiangjun Zou

Journal of System Simulation

Abstract: In order to obtain the location information and category information of wood surface defects in the early stage of intelligent wood cutting, a combined algorithm for fast identification and location of wood surface defects is proposed based on digital image processing technology for fast recognition and location of wood surface defects. The Adaboost cascade classifier algorithm is used to extract the candidate frames of the wood surface defect region in the image in order to solve the problem that the traditional segmentation method is not effective for multi objects processing. A CNN model with self-learning ability is used to …


Joint Resource Partitioning And Offloading Analysis In Heterogeneous Ultra-Dense Networks, Zhen Yan, Jiangpan Shi, Qiaoshou Liu 2019 1. Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; ;2. State Grid Information & Telecommunication Co. Ltd, Beijing 102200, China;;

Joint Resource Partitioning And Offloading Analysis In Heterogeneous Ultra-Dense Networks, Zhen Yan, Jiangpan Shi, Qiaoshou Liu

Journal of System Simulation

Abstract: For the problem of load balancing between macro base station and small base station in heterogeneous ultra-dense networks, a general offloading framework is proposed based on the distance between users and the nearest base station. By partitioning network spectrum resource and using stochastic geometry, the expression of coverage probability and average ergodic rate of users in the fixed region and the random region are deduced on the basis of guaranteeing the quality of service of the macro users offloaded. The simulation results show that the combination of resource partitioning and offloading effectively improves the coverage probability and average ergodic …


Research On Fluid Dynamics Simulation Of Welding Pool Based On Sph Method, Benkai Xie, Zhou Qiang, Li Qin, Ruijun Lin 2019 1. College of Logistics, Zhengzhou University of Aeronautics, Zhengzhou 450046, China; ;4. Collaborative Innovation Center for Aviation Economy Development, Zhengzhou 450000, China;

Research On Fluid Dynamics Simulation Of Welding Pool Based On Sph Method, Benkai Xie, Zhou Qiang, Li Qin, Ruijun Lin

Journal of System Simulation

Abstract: In the development of virtual welding training equipment, real-time interactive simulation of weld forming is the key technology. The current simulation method of weld formation is studied in this pape..For the problem of long time computation and no sense of fluid motion in weld simulation process, a simulation method of weld forming simulation based on smooth particle hydrodynamics is proposed. This method includes the calculation of temperature field which can calculate the fluid particle temperature and modify the updating step of fluid particles according to the temperature of fluid particles. This can realize the transformation of fluid particles from …


Power Quality Disturbance Recognition Base On Maximum Variance Unfolding, Linlin Che, Yinghui Kong, Zhixiong Chen 2019 College of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China;

Power Quality Disturbance Recognition Base On Maximum Variance Unfolding, Linlin Che, Yinghui Kong, Zhixiong Chen

Journal of System Simulation

Abstract: In view of the complexity of power quality disturbance (PQD), a recognition method of PQD feature extraction method based on maximum variance unfolding (MVU) is proposed and PQD recognition is completed by combining classifier algorithm in this paper. The wavelet energy features of PQD are extracted by wavelet transform to construct the original feature set.For the reason that non-convex quadratic programming is transformed into convex semi-definite optimization problem by kernel function, the MVU method is applied to compress the sample features into 3-dimension features which keep low dimensional structure in high dimensional space and make a rough recognition of …


Research On Fast Acquisition Algorithm For High Bit Rate Spread Spectrum System, Aizhen Wang, Meisong Luan, Hu Jiao, Zhumei Tian, Guofeng Ren 2019 1. Xinzhou Teachers University, Xinzhou 034000, China; ;

Research On Fast Acquisition Algorithm For High Bit Rate Spread Spectrum System, Aizhen Wang, Meisong Luan, Hu Jiao, Zhumei Tian, Guofeng Ren

Journal of System Simulation

Abstract: In a high-bit-rate spread spectrum communication system, due to the limitation of hardware processing speed, traditional acquisition methods cannot accomplish quick capture of PN code. In order to solve this problem, parallel structure is usually used in high-bit-rate receivers. In this paper, several traditional acquisition methods are analyzed and compared, and a parallel fast acquisition algorithm based on PMF-FFT for large frequency offset is proposed. This algorithm is based on parallel matched filtering and parallel FFT, and can accomplish the capture of multiple code phases and frequency offsets simultaneously. The principle of the algorithm is deduced in …


Review Of The Weapon System Simulation Technology, Yan Jie, Wenxing Fu, Zhang Kai, Chen Kang, Xiaofei Chang, Zhang Tong, Bin Fu, Sijie Wu 2019 Northwestern Polytechnical University, College of Astronautics, Xi’an 710072, China;

Review Of The Weapon System Simulation Technology, Yan Jie, Wenxing Fu, Zhang Kai, Chen Kang, Xiaofei Chang, Zhang Tong, Bin Fu, Sijie Wu

Journal of System Simulation

Abstract: Nowadays, the simulation technology are playing a more and more important role in the whole life cycle of weapon system design and application. In this paper, the state of the simulation technology in weapon system design and application is reviewed. And then, to meet the requirement of some brand new warfare styles like combat in complex environment, man-machine cooperation, cyberspace operation, intelligent system operation, combat training, new concepts of weapon simulation are developed, new demand of weapon simulation is introduced and new problems that must be solved are discussed. At last, the necessity and development trend of the …


Simulation Analysis Of Viral-Style Information Diffusion In Small World Networks, Li Feng, Wei Ying 2019 1. School of Business Administration, South China University of Technology, Guangzhou 510640, China; ;

Simulation Analysis Of Viral-Style Information Diffusion In Small World Networks, Li Feng, Wei Ying

Journal of System Simulation

Abstract: Since the small world network is one of the most common complex networks in the real world, this paper focuses on information diffusion on the small world network platform. In order to explore the relationship between structural features of the small world network with a well-accepted feature for information diffusion, network coverage ratio named, the methodology of multi-agent based modeling and simulation is introduced, instead of mathematical modeling. Through simulation, the impact of only two parameters in the small world network generation algorithm, that is Watts-Strogatz algorithm, is analyzed, where the process of information diffusion acts as the …


Design And Simulation Analysis Of Epr Contract From The Perspective Of Government Regulation, Benhong Peng, Yuanyuan Wang, Tu Yu 2019 1. School of Management Engineering, Nanjing University of Information Science &Technology, Nanjing 210044, China; ;2. China Institute of Manufacturing Development, Nanjing 210044, China;

Design And Simulation Analysis Of Epr Contract From The Perspective Of Government Regulation, Benhong Peng, Yuanyuan Wang, Tu Yu

Journal of System Simulation

Abstract: Government regulation is an important means to promote the extension of producer responsibility. Through the establishment of the agency model based on the public, the government and the producer, the situation of non-cooperation and the cooperation regulation between the public and the government respectively is modeled and analyzed, and the simulation is carried on. The study finds that the cooperation regulation is better than the non-cooperation regulation. The cooperation regulation should take into account the factors such as the risk aversion degree of the manufacturers, the uncertainty of the external environment, the cost coefficient, the comprehensive ability level, the …


Operation Control Method For Connected And Autonomous Vehicles At Intersection, Linguo Chai, Baigen Cai, Shangguan Wei, Wang Jian, Junjie Chen 2019 1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China; ;

Operation Control Method For Connected And Autonomous Vehicles At Intersection, Linguo Chai, Baigen Cai, Shangguan Wei, Wang Jian, Junjie Chen

Journal of System Simulation

Abstract: A novel approach for coordinating connected and autonomous vehicles at intersection is proposed in this paper. The road connecting the specific intersection is divided into two areas: status calculation area and status adjustment area. When the vehicle enters the status calculation area, LOOSE algorithm which is implemented in the infrastructure would be triggered to calculate the target status of the vehicle for it to avoid collision in the intersection. The results of LOOSE would be optimized by COMPACT algorithm with the objective of minimum queue length. And then operational suggestions for the vehicle to …


Application Of Myo Gesture Recognition Method In Ancient Building Roaming System, Yanping Xue, Xuesong Wang, Zhongke Wu, Xingce Wang, Mingquan Zhou 2019 Institute of Virtual Reality & Visual Technology, College of Information Science and Technology, Beijing Normal University, Beijing 100875, China;

Application Of Myo Gesture Recognition Method In Ancient Building Roaming System, Yanping Xue, Xuesong Wang, Zhongke Wu, Xingce Wang, Mingquan Zhou

Journal of System Simulation

Abstract: Museum display many exhibits, but its display way is single. The ancient buildings are displayed by texts and pictures, so it cannot bring a realistic experience to the visitors. Therefore, the ancient architectural scene roaming based on Myo combined with virtual reality is proposed. Kaifeng Tower Park is used as an example to achieve the system. In the design, system gets visitors’ acceleration and gyroscope values of forward, turn, squat and stop by wearing Myo. SVM-based gesture recognition algorithm is designed to complete the classification of feature values. Contrast experiment is designed to verify accuracy and efficiency of …


Design And Analysis Of Sustained-G Flight Simulator Control Algorithm, Xiaoguang Zhou, Yihong Fang, Huaiying Tian, Mingzhi Yao 2019 1. Center of Trainer Simulation Training, Naval Aviation University, Huludao 125001, China; ;2. Air Force Engineering University, Xi'an 710051, China; ;

Design And Analysis Of Sustained-G Flight Simulator Control Algorithm, Xiaoguang Zhou, Yihong Fang, Huaiying Tian, Mingzhi Yao

Journal of System Simulation

Abstract: In order to solve the problem of mismatch exist between angular motions by Sustained-G Flight Simulator pilot through his proprioceptive receptors and visual receptors, the control algorithm of Sustained-G Flight Simulator is designed. The formulas relative to control input is derived; the mathematical model of human proprioceptive system is researched, the relationship between pilot's perceptual angular and rotating linear acceleration vectors and angular accelerations is given, based on that, the control algorithm of Sustained-G Flight Simulator is proposed, which can make a match existence between the angular motion perceived by Sustained-G Flight Simulator pilot and aircraft pilot. The simulation …


Research On Internal Resistance Monitor System Of Vehicle Fuel Cell Integrated With Dc/Ac/Dc, Deng Jian, Haiquan Lü, Liyan Zhang, Shuhai Quan 2019 School of Automation, Wuhan University of Technology, Wuhan 430070, China;

Research On Internal Resistance Monitor System Of Vehicle Fuel Cell Integrated With Dc/Ac/Dc, Deng Jian, Haiquan Lü, Liyan Zhang, Shuhai Quan

Journal of System Simulation

Abstract: In order to solve the problem of complicated and costly on-line impedance monitoring operation of vehicle fuel cells, a test method that can obtain the electrochemical impedance spectroscopy (EIS) of fuel cell by Fourier transformation against output voltage and output current of fuel cell through DC/DC generation of micro-current signal is proposed. This method is integrated in a cascaded system of parallel Boost and DC/AC/DC. The parallel Boost can realize the decoupling of power transmission and disturbance signal, the DC/AC/DC converters can achieve higher boost ratios, which makes the test system more suitable for higher voltage levels such as …


Control Optimization Of Hybrid System With Hybrid Power Based On Dp Algorithm, Deng Tao, Haoyuan Yu, Bin Xu 2019 School of Mechatronics & Automotive Engineering, Chongqing Jiaotong University, Chongqing 400074;

Control Optimization Of Hybrid System With Hybrid Power Based On Dp Algorithm, Deng Tao, Haoyuan Yu, Bin Xu

Journal of System Simulation

Abstract: Aiming at the complexity and diversity of energy management for HEV(hybrid electric vehicle) with hybrid power, taking the State of Charge of power battery and ultracapacitor as state variable, the torque distribution ratio between engine and motor, and the power distribution ratio between power battery and ultracapacitor as control variables, the fuel economy and emission performance as objective function, the Dynamic Programming (DP) control strategy for HEV with hybrid power is proposed. The working rules of the engine, motor, battery and ultracapacitor, are extracted from the results, and the rules of engine and motor and the fuzzy control …


Recurrent Cmacnn Control For Space Robot With Fully Flexible Arms And Elastic Base, Xiaoqin Huang, Chen Li 2019 1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China; ;2. Collaborative Innovation Center of High End Equipment Manufacturing, Fuzhou 350116, China;

Recurrent Cmacnn Control For Space Robot With Fully Flexible Arms And Elastic Base, Xiaoqin Huang, Chen Li

Journal of System Simulation

Abstract: The trajectory tracking of elastic base and double flexible arms for a free-floating space robot system with fully flexible arms and elastic base is discussed. The elastic connection between the base and the arm is considered as a linear spring and dynamics model of the system which is regarded as a two- time scale system is derived. For the slow-varying subsystem, the recursive CMAC neural network (CMACNN) which has good dynamic characteristics is used to approximate uncertainties of dynamical equation and a recursive CMAC neural network control scheme which improves the tracking performance is designed to improve the …


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