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2019

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Articles 2641 - 2670 of 3906

Full-Text Articles in Computer Sciences

Detailed Enhancement Of Forward Vehicle Video Images Based On Structured Forest, Weidong Jin, Yanhua Hu, Tang Peng, Li Wei Jan 2019

Detailed Enhancement Of Forward Vehicle Video Images Based On Structured Forest, Weidong Jin, Yanhua Hu, Tang Peng, Li Wei

Journal of System Simulation

Abstract: In view of the complexity of existing image enhancement methods, which cannot highlight the detection target, this paper proposes a method for detail enhancement of forward vehicle video based on structured forest. This method is mainly divided into two parts: structured forest edge detection and visual enhancement. This paper implements the detail edge extraction and enhancement of the patrolling image of the catenary. The gray histogram distribution after processing is more balanced, and the difference between the average values of gray levels in the detail area and background area of the enhanced patrol image is the standard deviation. The …

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Channel Modeling And Networking Simulation Of Full Duplex Communication, Zhimin Liu, Sun Jie, Jiarui Ding Jan 2019

Channel Modeling And Networking Simulation Of Full Duplex Communication, Zhimin Liu, Sun Jie, Jiarui Ding

Journal of System Simulation

Abstract: Full duplex communication is a new wireless communicating technology for improving the spectrum efficiency substantially. Few researches study full duplex networking technology now nationally and internationally. The architecture and implementation approach of full duplex communication system are introduced to describe the main model and functions of the platform in detail. After analyzing different kinds of self-interference cancellation technology, the self-interference cancellation module and channel model of full duplex system in the platform is built based on C language,which lays a foundation for prospective full duplex networking technology. Simulation results verify the platform’s effectiveness, and present the spectrum efficiency and …

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Prediction Model For Breakdown Voltage Of Transformer Oil Based On Relative Transformation And Kernel Principal Component Analysis, Yinguo Xiong Jan 2019

Prediction Model For Breakdown Voltage Of Transformer Oil Based On Relative Transformation And Kernel Principal Component Analysis, Yinguo Xiong

Journal of System Simulation

Abstract: Aiming at the difficulty of measuring the breakdown voltage of transformer oil on line, a new prediction model for breakdown voltage of transformer oil is proposed based on relative transformation (RT) and kernel principal component analysis (KPCA). By analyzing the factors that are closely related to the breakdown voltage, the original data space is converted to the relative data space by relative transformation to improve the distinguishability between data. KPCA is employed in the relative space for the purpose of data dimension reduction, denoising and extracting nonlinear features. Kernel principal components extracted by KPCA are used as the input …

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Simulation And Analysis Of Blasting Effect For Multi-Core Tube-Hollow-High-Rise Building, Tiejun Cui, Shasha Li, Laigui Wang Jan 2019

Simulation And Analysis Of Blasting Effect For Multi-Core Tube-Hollow-High-Rise Building, Tiejun Cui, Shasha Li, Laigui Wang

Journal of System Simulation

Abstract: In order to study the complex high-rise building structure collapse process and effect of blasting, the blasting simulation of building containing multi-core tube and hollow structure are performed. Simulation building has hollow-four core tube-frame structure and the core tube throughout the whole building. Particle flow method is used to model the building, and blasting simulation is implemented using the blast algorithm based on particle flow. According to the structure characteristics and the distance of core tube and architecture center, the implementation of blasting is three groups design. The processes of blasting and the blasting results are analyzed. Results show …

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Simulation Of Neighbor Discovery Algorithm In Directional Antenna Ad Hoc Networks Based On Opnet, Li Mo, Zhao Liang Jan 2019

Simulation Of Neighbor Discovery Algorithm In Directional Antenna Ad Hoc Networks Based On Opnet, Li Mo, Zhao Liang

Journal of System Simulation

Abstract: Neighbor discovery problem in directional antenna Ad Hoc networks is studied. A Q-Learning neighbor discovery algorithm is proposed, and a simulation model for directional antenna Ad Hoc networks based on OPNET software is setup. This algorithm makes a decision of transmitting and receiving mode for every neighbor scanning without the information of neighbor position through the Q-Learning mechanism. The reward value is determined according to the current scanning result, and the experiences are learned in order to improve the neighbor discovery efficiency. The simulation model based on OPNET software is constructed using three-layer modeling mechanism. Then the directional antenna …

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Simulation Of Transient Temperature Field Of Current-Carrying Sliding Friction Pair, Fengyi Guo, Hongxin Gao, Liu Shuai, Zhiyong Wang, Zhang Kai, Aijun Wang Jan 2019

Simulation Of Transient Temperature Field Of Current-Carrying Sliding Friction Pair, Fengyi Guo, Hongxin Gao, Liu Shuai, Zhiyong Wang, Zhang Kai, Aijun Wang

Journal of System Simulation

Abstract: The transient temperature rise of pantograph and catenary system could affect material properties of the friction pair, which accelerates the wear of system. In order to reduce the wear caused by temperature, transient temperature and distribution of copper/copper-carbon friction pair are studied. A simulation model is established by using COMSOL Multiphysics software. Model effectiveness is verified with temperature experiments. The transient process of temperature field is studied by simulation. The results show that the temperature rise of carbon plate has small cyclical peaks. The highest temperature appears on the contact region in the initial stage of running. Temperature gradient …

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Design And Study Of Forest Fire Forecasting Based On Pso And Ga-Bp Neural Network, Shuhua Bai, Mingxing Kuang Jan 2019

Design And Study Of Forest Fire Forecasting Based On Pso And Ga-Bp Neural Network, Shuhua Bai, Mingxing Kuang

Journal of System Simulation

Abstract: This paper collects the 2013-2015 meteorological data of four stations (Nanchang, Jingdezhen, Gi’an, Ganzhou) in Jiangxi province, and the corresponding forest fire danger grading, to establish a neural network fire prediction model. Corresponding network model is built respectively by adopting the genetic algorithm, particle swarm optimization (PSO) algorithm and particle swarm genetic hybrid algorithm to optimize the BP neural network. By comparing the prediction results of BP network, GA-BP network, PSO-BP network and PSO-GA-BP network with the experiments data, it shows that the PSO-GA-BP network prediction model is of higher accuracy, the PSO and GA enjoy the best …

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Simulation Method Of Electromechanical Coupling Of Slot Antenna Based On Mesh Transmission, Wang Yong, Ren Dan, Dandan Wang, Xuexiao Zheng Jan 2019

Simulation Method Of Electromechanical Coupling Of Slot Antenna Based On Mesh Transmission, Wang Yong, Ren Dan, Dandan Wang, Xuexiao Zheng

Journal of System Simulation

Abstract: Electromechanical coupling involves mechanical and electromagnetic interaction, and data transfer between different physical fields is the key to the electromechanical coupling simulation. An efficient and accurate method based on mesh transmission to analyze the electromechanical coupling of slot antenna is presented. Force analysis of antenna is achieved by ANSYS and the interface program is written by APDL language. The deformed mesh generated by force analysis is obtained and outputted to hypermesh software to extract the deformed mesh surface. The surface mesh is imported into the electromagnetic field analysis software FEKO to calculate the electromagnetic performance of the antenna. The …

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Neural Network Minimun Parameter Sliding Control Of Blood Pump Based On Heart Rate, Huibo Liu, Liu Mu Jan 2019

Neural Network Minimun Parameter Sliding Control Of Blood Pump Based On Heart Rate, Huibo Liu, Liu Mu

Journal of System Simulation

Abstract: An intelligent algorithm is designed to control the blood pump to assist natural cardiac blood pumping and to meet the needs of blood perfusion. The algorithm combines sliding mode control which does not depend on object model and RBF neural network which has optimal approximation properties to design controller. Minimum parameter learning method is used to design the adaptive law, adjust the weights of neural network. In order to ensure the real time, the speed signal is given by the function of blood flow, blood pump speed and heart rate. Through comparing with PID algorithm, the research shows that: …

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Soft-Sensor Method Of Low Pressure Cylinder Exhaust Flow Of Heating Units, Tian Liang, Wang Tong Jan 2019

Soft-Sensor Method Of Low Pressure Cylinder Exhaust Flow Of Heating Units, Tian Liang, Wang Tong

Journal of System Simulation

Abstract: In order to improve the capacity of absorbing the wind power, power grid requests heating units to reduce the power load limit as far as possible. Turbine exhaust steam flow is a main parameter which determines power load limit. By analysing the balance of the mass-energy on vapor flow, and choosing the condensate flow and enthalpy rise of condensate and enthalpy drop of number 6 low pressure heater as auxiliary variables, soft-sensor method of low pressure cylinder exhaust flow is established. Furthermore, number 7 and number 8 extraction pressure and temperature are chosen simultaneously and dynamic low pressure cylinder …

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Study On Stability Of Bbmc Under Voltage And Current Control Mode, Xiaoping Zhang, Xiaoqiu Li, Wu Zhi Jan 2019

Study On Stability Of Bbmc Under Voltage And Current Control Mode, Xiaoping Zhang, Xiaoqiu Li, Wu Zhi

Journal of System Simulation

Abstract: In the paper, the stability of Buck-Boost matrix converter in voltage/current control mode is studied, and a nonlinear modeling and analysis method on the Buck-Boost matrix converter is proposed. The discrete iterative nonlinear mapping model of the converter is established. The influence of voltage feedback coefficient K1 and current proportional coefficient K2 on system stability is analyzed by sampling the distribution map of output voltage, hence, the stable domain of K1-K2 is determined. The influence on converter stability is verified and analyzed by the time domain waveform, the stroboscopic sampling chart and the …

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Anchor Adaptive Movement Algorithm For Mobile Nodes Localization, Zhou Fei, Wennan Liu Jan 2019

Anchor Adaptive Movement Algorithm For Mobile Nodes Localization, Zhou Fei, Wennan Liu

Journal of System Simulation

Abstract: Location awareness is very important in mobile sensor networks. The existing methods mainly focus on the improvement based on the MCL (Monte Carlo Localization), few of them study the anchor path planning. However, anchors random movement usually causes the waste of energy and resource. Aiming at this deficiency, this paper adopts the grid benefit criterion and achieves anchors adaptive movement. Threshold instead of traversal method is used to reduce the amount of calculation and positioning time. In order to solve the anchors aggregation problem during adaptive movement, we divide the target area into four subareas and constrain part of …

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Characteristic Analysis Of Tri-Stable Stochastic Resonance With Levy Noise, Lifang He, Yingying Cui, Guoquan Li, Jinzhao Lin Jan 2019

Characteristic Analysis Of Tri-Stable Stochastic Resonance With Levy Noise, Lifang He, Yingying Cui, Guoquan Li, Jinzhao Lin

Journal of System Simulation

Abstract: The characteristic analysis of tri-stable stochastic resonance with Levy noise is analyzed deeply with Levy noise being combined with a tri-stable stochastic resonance system and average signal-to-noise ratio gain being used as index. The effect of tri-stable system parameters w, a, b and Levy noise intensity amplification factor D on the resonant output is explored with different Levy noise. Results show that for different distribution of Levy noise, the stochastic resonance phenomenon can be induced by tuning the system parameters. The parameter intervals which can induce stochastic resonances are approximately equal. Moreover, by adjusting the intensity …

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Research On Fjsp Problem Of Invasive Weed Optimization Based On Hybrid Strategy, Li Ke, Wang Yan, Zhicheng Ji Jan 2019

Research On Fjsp Problem Of Invasive Weed Optimization Based On Hybrid Strategy, Li Ke, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To solve the flexible job-shop scheduling problem more effectively, an improved invasive weed algorithm was proposed. A random key encoding scheme based on transformed sequences was proposed and an adaptive Gauss mutation operator was introduced to diversity the population in the process of weed breeding. In spatial diffusion stage, the standard deviation of normal distribution based on tangent function was used as seed’s new step size search method. In competition of invasive weed stage, by using the guided search strategy in the bee colony algorithm, the weed was guided to improve its ability to jump out of the …

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Approach For Lithium-Ion Battery Rul Prognostics Based On Cpso-Rvm, Chaolong Zhang, Yigang He, Lifen Yuan Jan 2019

Approach For Lithium-Ion Battery Rul Prognostics Based On Cpso-Rvm, Chaolong Zhang, Yigang He, Lifen Yuan

Journal of System Simulation

Abstract: On account of the measured battery state of health (SOH) data are often subject to different levels of noise pollution, a battery remaining useful life (RUL) prognostics approach is presented based on wavelet denoising and CPSO-RVM in the paper. Wavelet denoising is performed twice with different thresholds in order to weaken the strong noise and remove the weak noise. Relevance vector machine (RVM) improved by chaos particle swarm optimization (CPSO) algorithm is utilized to estimate the trend of battery SOH variation trajectory and predict the battery RUL based on the denoised data. RUL prognostic experiments using battery data provided …

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Numerical Simulation On Air Quality In The Boeing 737 Aircraft Cabin, Xiuyan Wang, Gewen Zhang, Yanmin Liu, Zongshuai Li, Jiaquan Lin Jan 2019

Numerical Simulation On Air Quality In The Boeing 737 Aircraft Cabin, Xiuyan Wang, Gewen Zhang, Yanmin Liu, Zongshuai Li, Jiaquan Lin

Journal of System Simulation

Abstract: The air quality in the cabin will directly affect the persons’ efficiency when an aircraft berths. In order to analyze the effect of velocity of air outlet of bridge-load air conditioning on the air quality of aircraft cabin, the first class cabin of Boeing 737 aircraft is used as the research object, based on the CFD method and numerical heat transfer theory, the air quality in aircraft cabin is simulated numerically. Based on PMV and CO2 relative concentration, a new air quality index (IAO) is put forward to evaluate the air quality of aircraft cabin, …

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Gas-Liquid Flow Characteristics Study On The Amino Acid Fermentation Tank, Xiaodong Hu, Qinglei Liu, Fuyu Liu, Dexin Zhang Jan 2019

Gas-Liquid Flow Characteristics Study On The Amino Acid Fermentation Tank, Xiaodong Hu, Qinglei Liu, Fuyu Liu, Dexin Zhang

Journal of System Simulation

Abstract: Based on the Euler - Euler two-fluid model and population balance model, using MRF (multiple reference frame) method, the flow field of the rushton turbine stirred reactor and airfoil axial flow stirred reactor in fermentation tank is analyzed by Fluent. The information of the oxygen content and the size of bubble in the tank is obtained. The simulation results show that the axial flow produced by the airfoil axial flow stirred reactor and the radial flow produced by the rushton turbine stirred reactor interact with each other. The oxygen distribution is relatively uniform. There is an oxygen concentration near …

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Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang Jan 2019

Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang

Journal of System Simulation

Abstract: Channel selection is used to locate the mental task related brain area in the brain computer interface systems. In the previous studies, the channels were selected based on the data recoded from the multi-mental tasks. However, the different mental tasks are corresponding to the different brain area. If one same brain area is selected for different mental tasks, the features of one mental task would be noises of another mental task. In this paper, a new method was presented to solve this problem based on the data of motor imagery tasks. The SVM-RFE method was used to select the …

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Evaluation Of Contribution Of Army Combined Arms In All-Domains Weapon System-Of-Systems Based On Critical Capability, Xiaochao Qian, Tang Wei, Chen Wei, Yingbo Lu, Zhifeng Lu Jan 2019

Evaluation Of Contribution Of Army Combined Arms In All-Domains Weapon System-Of-Systems Based On Critical Capability, Xiaochao Qian, Tang Wei, Chen Wei, Yingbo Lu, Zhifeng Lu

Journal of System Simulation

Abstract: To support equipment development demonstration of the army combined arms in all-domains weapon system-of-systems, an evaluate method of weapon system-of-systems contribution based on critical capability is studied. The critical capability of the army combined arms in all-domains weapon system-of-systems is analyzed based on the operational mission. A specified scenario of the army combined arms in all-domains weapon system-of-systems is given and the simulation system is constructed. The evaluation index systems and computation model of efficiency of the army combined arms in all-domains weapon system-of-systems are established under the specified scenario. The evaluation result can support the development demonstration …

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Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui Jan 2019

Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui

Journal of System Simulation

Abstract: In order to solve the problem of insufficient information transmission and interaction between organisms and electromechanical devices in the integrated system of vital electricity, Emotiv EPOC and mechanical arm of eeg acquisition equipment were used to build a writing system based on brain-computer interface technology with faster information transmission rate The system modeling and simulation were conducted. In the system modeling, the frequency identification of steady-state visual evoked potential was carried out by a combination of bandpass filtering and Canonical Correlation Analysis algorithm, and the accuracy rate of the four classifications was as high as 91.6%. In the online …

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Think Of The Dynamic Data Driven Application Systems In Simulation: From Physics Domain To Social Domain, Bin Chen, Yiping Wang, Xiaogang Qiu, Liu Liang, Ma Liang Jan 2019

Think Of The Dynamic Data Driven Application Systems In Simulation: From Physics Domain To Social Domain, Bin Chen, Yiping Wang, Xiaogang Qiu, Liu Liang, Ma Liang

Journal of System Simulation

Abstract: Dynamic data driven application systems (DDDAS) is an important part in the intelligent ACP based experimental approach. With the development of information technologies such as big data, intelligent learning, game play theory, the modes of application of DDDAS in simulation cases have changed a lot. In order to meet the requirements of the researches in both physics domain and social domain, the applications of DDDAS in classical cases are summarized. The data assimilation in the two physics cases is illustrated in detail. Then the cases in social domain which is focused by safety science are also discussed. The …

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Uncertainty Quantification Method For Aircraft Using Pce Model, Liu Bo, Xiaobing Shang, Chao Tao, Ping Ma, Yang Ming Jan 2019

Uncertainty Quantification Method For Aircraft Using Pce Model, Liu Bo, Xiaobing Shang, Chao Tao, Ping Ma, Yang Ming

Journal of System Simulation

Abstract: In order to study uncertainty quantification of aircraft, which has the characteristics of many uncertainty parameters, complex model structures, and so on, an uncertainty quantification method based on polynomial chaos expansion is proposed. A method based on multi-dimensional polynomial chaos expansion (PCE) is used as an agent model to approximate aircraft so as to reduce the amount of calculation of transmitting by the vehicle dynamic system from uncertainty parameters. The Sobol index of the global sensitivity is calculated based on the approximate agent model. An example is presented to demonstrate the effectiveness of the polynomial chaos expansion method …

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Computational Model And Analysis Of Parachute’S Opening Load In Rocket Sled Experiments, Conglei Wang Jan 2019

Computational Model And Analysis Of Parachute’S Opening Load In Rocket Sled Experiments, Conglei Wang

Journal of System Simulation

Abstract: The multi-bodies method with mass-spring damper model is used to analyze the parachute opening load in the rocket sled experiments. Results show that the computational model can be used to predict the opening load variation in rocket sled experiments. The computed maximum value and moment of opening load agree well with the experiment data. At the same time, the influences of fore-body mass and deploy velocity on the inflation load are analyzed. The analysis shows that in the range of 200~450 km/h, the peak value of the inflation load increases with the increase of the deploy velocity, and …

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Facial Feature Points Tracking System And Simulation Analysis, Mingze Yuan, Shihong Xia Jan 2019

Facial Feature Points Tracking System And Simulation Analysis, Mingze Yuan, Shihong Xia

Journal of System Simulation

Abstract: Obtaining facial feature points from images are one of the fundamental research issues in computer vision and graphics. At present, most of face alignment methods obtain the position information of face feature points from a single static picture, i.e., a single still picture detection. Although these methods have obtained relatively accurate detection results, in the detection of feature points of continuous picture sequences, the feature point jitter may occur due to environmental changes such as illumination and background. Therefore, an embedded tracking system for a human face feature points is constructed using a tracking-based method for acquiring facial feature …

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Cloud Job Scheduling Model Based On Improved Plant Growth Algorithm, Li Qiang, Xiaofeng Liu Jan 2019

Cloud Job Scheduling Model Based On Improved Plant Growth Algorithm, Li Qiang, Xiaofeng Liu

Journal of System Simulation

Abstract: The performance of cloud job scheduling algorithm has a great importance to the whole cloud system. The key factors that affect cloud operation scheduling are found out, and a resource constraint model is established. The existing simulation plant growth algorithm is improved based on the Logistic model of plant growth law, so that the plant growth way was made to change according to the energy power. The comparison of four different plant models was carried out and their different features were analyzed. Compared with 6 typical cloud job scheduling algorithms, it is concluded that the improved simulation plant growth …

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Application Tests Of Mudis In Surface Ship Operation Training Simulation System, Xu Jing, Zhengxiang Xiong, Yongsheng Zhang, Xu Ming Jan 2019

Application Tests Of Mudis In Surface Ship Operation Training Simulation System, Xu Jing, Zhengxiang Xiong, Yongsheng Zhang, Xu Ming

Journal of System Simulation

Abstract: To meet the network communication demands of surface ship operation training simulation system, a multi-layer distributed service data interaction RTI was developed, which supported several system frameworks; and the main functions of HLA and DDS standards were realized. The distributed service with multiple key points was adopted; the data with several frequency response mechanisms and intelligent communication methods were provided; and the active analysis of data communication behavior was obtained. It had error-tolerance and adaptive load balancing capabilities. The MuDIS tests on data control, real-time data communication, time advance request delay, error-tolerance performance and so on were carried out …

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Simulation-Based Acquisition Platform For Complex Equipment, Huiyang Qu, Yaoqin Zhu, Ruiying Pu, Junhua Zhou, Guoqiang Shi Jan 2019

Simulation-Based Acquisition Platform For Complex Equipment, Huiyang Qu, Yaoqin Zhu, Ruiying Pu, Junhua Zhou, Guoqiang Shi

Journal of System Simulation

Abstract: Based on the architecture of the simulation-based acquisition platform and the integrated modeling technology, the modeling and simulation technology based on virtual prototype is described. The modeling and simulation techniques for reliability, maintainability and supportability, and for the acquisition project management across the life-cycle are elaborated. Based on an aerospace complex equipment acquisition project, the application of the simulation-based acquisition platform in the aerospace equipment demonstration, development and support phase is introduced.

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Low-Rank Sparse Joint Representation For Moving Object Detection In Video, Yang Lei, Pang Fang, Huosheng Hu Jan 2019

Low-Rank Sparse Joint Representation For Moving Object Detection In Video, Yang Lei, Pang Fang, Huosheng Hu

Journal of System Simulation

Abstract: For the video sequences with fixed cameras, it is a reasonable assumption that the fixed background has low-rank characteristic, and the dynamic foreground has sparse characteristic. A new motion detection method based on low-rank and sparse joint representation is proposed in this paper. The ideas of the proposed method are described as follows: The noise of video sequence is removed by image preprocessing. The optical flow between continuous video sequences is estimated, which is used to generate a binary motion mask as a movement weight matrix. An optimization model with low-rank background and sparse foreground is established based …

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Mining And Validation Of Attacking Behavior In The Robocup 2d Simulation, Chen Bing, Zhang Heng, Zekai Cheng, Dong Peng, Lin Chao Jan 2019

Mining And Validation Of Attacking Behavior In The Robocup 2d Simulation, Chen Bing, Zhang Heng, Zekai Cheng, Dong Peng, Lin Chao

Journal of System Simulation

Abstract: Robocup is an international academic competition which focuses on artificial intelligence and robotics. The 2D simulation is one of the earliest and most influential projects in Robocup. Attacking is the core behaviour of the simulated football game, as well as the attack recognition is considered as an important part in team-confrontations. This paper selects some active and contribution index of attacking, extracts lots of attacking behaviour data of the key agents, proposes two kinds of attacking patterns of 2D simulation, as ‘separate attack’ and ‘cooperative attack’, according to the human-player actions. The following simulation tests give the accuracy of …

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Real-Time Reconstruction And Simulation Of Police Dog Posture Based On Multi-Sensor Data Vest, Chaozheng Zhu, He Ming, Yang Sheng, Yang Cheng, Zhenhua Song Jan 2019

Real-Time Reconstruction And Simulation Of Police Dog Posture Based On Multi-Sensor Data Vest, Chaozheng Zhu, He Ming, Yang Sheng, Yang Cheng, Zhenhua Song

Journal of System Simulation

Abstract: Real-time police dog posture reconstruction provides an intelligent, convenient and over-the-horizon interactive way for police on duty with dogs. For the biological movement characteristics of police dogs, a new multi-sensor dog data vest was designed and implemented. Based on multiple small size and low power consumption sensors, a new police dog motion fusion method was proposed to capture the different posture data of police dogs, including standing, sitting and prone position, etc. For frequent jitter of police dogs, this paper proposed a method of dog posture reconstruction based on multi-sensor data vest, and introduced an improved kernel function ELM …

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