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4,171 full-text articles. Page 194 of 207.

Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui 2019 1.Tianjin University of Technology, Tianjin 300384, China; ;2.Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; ;

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 …


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 2019 1.College of System Engineering, National University of Defense Technology, Changsha 410073, China; ;

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 …


Uncertainty Quantification Method For Aircraft Using Pce Model, Liu Bo, Xiaobing Shang, Chao Tao, Ping Ma, Yang Ming 2019 1.Control and Simulation Center, Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China; ;2.No.705 institute, China Shipbuilding Industry Corporation, Shaanxi Province, Xi’an 710077, China;;

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 …


Computational Model And Analysis Of Parachute’S Opening Load In Rocket Sled Experiments, Conglei Wang 2019 AVIC Hongguang Airborne Equipment Company, Ltd. , Nanjing 210022, China;

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 …


Facial Feature Points Tracking System And Simulation Analysis, MingZe Yuan, Shihong Xia 2019 1.The Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China; ;2.University of Chinese Academy of Sciences, Beijing 100049, China;

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 …


Cloud Job Scheduling Model Based On Improved Plant Growth Algorithm, Li Qiang, Xiaofeng Liu 2019 1.Department of Information, College of Finance & Economics, Tai yuan University of Technology, Taiyuan 030024, China; ;2.College of Information, Shanxi Finance &Taxation College, Taiyuan 030024, China; ;

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 …


Application Tests Of Mudis In Surface Ship Operation Training Simulation System, Xu Jing, Zhengxiang Xiong, Yongsheng Zhang, Xu Ming 2019 Dalian Naval Academy, Dalian 116018, China;

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 …


Simulation-Based Acquisition Platform For Complex Equipment, Huiyang Qu, Yaoqin Zhu, Ruiying Pu, Junhua Zhou, Guoqiang Shi 2019 1. State Key Laboratory of Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing 100854, China; ;2. Beijing Complex Product Advanced Manufacturing Engineering Research Center, Beijing Simulation Center, Beijing 100854, China; ;3. Science and Technology on Space System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China; ;

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.


Low-Rank Sparse Joint Representation For Moving Object Detection In Video, Yang Lei, Pang Fang, Huosheng Hu 2019 1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China; ;

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 …


Mining And Validation Of Attacking Behavior In The Robocup 2d Simulation, Chen Bing, Zhang Heng, Zekai Cheng, Dong Peng, Lin Chao 2019 1.Information Engineering University, ZhengZhou 450001, China; ;

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 …


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 2019 1. College of Command Control Engineer, Army Engineering University, Nanjing 211117, China; ;

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 …


Uncalibrated Visual Servoing Based On Kalman Filter Optimized By Spsa, Jinqiang Zhang, Xianxia Zhang 2019 Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronics and Automation, Shanghai University, Shanghai 200072, China;

Uncalibrated Visual Servoing Based On Kalman Filter Optimized By Spsa, Jinqiang Zhang, Xianxia Zhang

Journal of System Simulation

Abstract: Considering the problem of robot uncalibrated visual servoing, this paper presents a method for online estimation of image Jacobian matrix based on Kalman filter optimized by simultaneous perturbation stochastic approximation algorithm. This method takes the robot image Jacobian matrix as the system state, and uses Kalman filter to observe the system state. In order to improve the performance of the filter, the simultaneous perturbation stochastic approximation algorithm is used to optimize the filter parameters. This method is used to estimate the image Jacobian matrix and to design the control strategy, which can avoid complicated system calibration process. The simulation …


Construction And Application Of Low Altitude Multi-Path Simulation System Based On Volume Distributive Target Simulation, Xiaolei Wang, Baiting Liu, Chaolei Wang, Zhaowei Yang, Yuhui Tao 2019 Science and Technology on Special System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China;

Construction And Application Of Low Altitude Multi-Path Simulation System Based On Volume Distributive Target Simulation, Xiaolei Wang, Baiting Liu, Chaolei Wang, Zhaowei Yang, Yuhui Tao

Journal of System Simulation

Abstract: With the continuous development of broadband high-resolution radar technology, the existing simulation technology cannot meet the needs of complex RF target and low altitude multi-path simulation with multi scattering center characteristics. The paper takes broadband high-resolution RF imaging guidance system as application background. A method for constructing a low altitude multi-path semi-physical simulation system based on volume distributive target simulation is put forward. The RF complex volume distributive target control model and low altitude multi-path simulation control model are developed. A hardware-in-the-loop system with low altitude multi-path simulation is constructed. The experimental results show that the simulation model …


Modeling And Simulation Of Pem Fuel Cell / Battery Hybrid Vehicle, Guizhi Sun, Sam Park, Zhongling Lin 2019 1. Department of Automotive and Ship Engineering, Yantai Vocational College, Yantai 264670, China; ;

Modeling And Simulation Of Pem Fuel Cell / Battery Hybrid Vehicle, Guizhi Sun, Sam Park, Zhongling Lin

Journal of System Simulation

Abstract: This paper describes modeling of a hybrid power system that supplies energy to an electric vehicle based on a hybrid system that uses a proton exchange membrane (PEM) fuel cell as a primary energy source and a battery pack as an ancillary energy storage system. A threshold approach has been employed for power control. When the power required by the vehicle exceeds a threshold, the battery works with the fuel cell to satisfy the dynamic response of vehicle. Otherwise the fuel cell works alone with regenerative braking enabling recharging of battery capacity. The proposed model has been simulated and …


Application Of Stochastic Petri-Net In Dynamic Evaluation Of Ecological Environmental Vulnerability In Mining Area, Guangqiu Huang, Quanchen Liu, qiuqin Lu 2019 School of Management, Xi'an University of Architecture and Technology, Xi’an 710055, China;

Application Of Stochastic Petri-Net In Dynamic Evaluation Of Ecological Environmental Vulnerability In Mining Area, Guangqiu Huang, Quanchen Liu, Qiuqin Lu

Journal of System Simulation

Abstract: In order to establish the simulation model of vulnerable process of ecological environment in mining and evaluate ecological environment vulnerability dynamically, stochastic Petri-net (SPN) was adopted. The place set was divided into destruction state set, repair state set and virtual place set. Ways of representation and calculation method of these three types of places were given respectively. The state value of a place was to record actual change quantity of this place. The calculation of vulnerability was integrated into network system running naturally. Vulnerability algorithm based on SPN was given. In case study, a simplified SPN model …


Analysis Of Uas Avoidance Warning Criteria Based On "Τ-Τ", Zhiwei Zhang, Jianwu Tao, Shao Xiao 2019 Department of Aircraft Control, Aviation University of Air Force, Changchun 130022, China;

Analysis Of Uas Avoidance Warning Criteria Based On "Τ-Τ", Zhiwei Zhang, Jianwu Tao, Shao Xiao

Journal of System Simulation

Abstract: In the process of UAV avoiding obstacles, the tau warning logic based on time is introduced. Based on the tau warning logic, the τ-τ warning logic is proposed, and the equal τ-τ warning curve is constructed. According to the range of maneuver of the own UAV, three warning areas are defined, including high-risk area, low-risk area and non-risk area. Aiming at the two planes in the case of parallel encounter and vertical encounter, in accordance with three different situations of the UAV’s speed greater than, equal to and less than the intruder’s speed, the method simulates the warning …


Cfd Based Analysis And Improvement Of The Flow Field Of Stirred Tank Reactor For Crystallization, Zewen Ma, Liu Tao, Xudong Sun 2019 School of Control Science and Engineering (SCSE), Dalian university of technology, Dalian 116024, China;

Cfd Based Analysis And Improvement Of The Flow Field Of Stirred Tank Reactor For Crystallization, Zewen Ma, Liu Tao, Xudong Sun

Journal of System Simulation

Abstract: The computational fluid dynamics (CFD) method is adopted to analyze the flow field of 1L stirred tank reactor for crystallization. A popular CFD software named FLUENT is used to analyze the influence of a single layer turbine agitator on the flow field in a stirred tank reactor. The standard turbulence model of k-ε is employed to simulate a three-dimensional single-phase flow field of water solution. Simulation studies indicate that the simulated flow field is consistent with real distribution of the flow field, while it is seen that uniform blending can be achieved in the lower and middle parts of …


Cloud Fraction Of Satellite Imagery Based On Convolutional Neural Networks, Xia Min, Maoyang Shen, Jianfeng Wang, Yangguang Wang 2019 1.Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China; ;2. B-DAT, Nanjing University of Information Science and Technology, Nanjing 210044, China;

Cloud Fraction Of Satellite Imagery Based On Convolutional Neural Networks, Xia Min, Maoyang Shen, Jianfeng Wang, Yangguang Wang

Journal of System Simulation

Abstract: Cloud fraction is the basis for the application of meteorological satellite. Existing methods cannot use all the characteristics and optical parameters of the satellite cloud, which results in the inaccuracy of cloud detection and cloud fraction. In order to solve this problem, convolutional neural network is used for cloud detection. Based on the improved convolutional neural network, the satellite cloud image is divided into thin cloud, thick cloud and clear sky. Based on the cloud detection, an improved spatial correlation method is used for cloud fraction. The results for Chinese HJ-1A/B satellite imagery show that convolutional neural network can …


Human Action Recognition Based On Depth Image, Tang Chao, Miaohui Zhang, Li Wei, Cao Feng, Xiaofeng Wang, Xiaohong Tong 2019 1. Department of Computer Scince and Technology, Hefei University, Hefei 230601, China; ;

Human Action Recognition Based On Depth Image, Tang Chao, Miaohui Zhang, Li Wei, Cao Feng, Xiaofeng Wang, Xiaohong Tong

Journal of System Simulation

Abstract: Because of the complexity and non-rigidity of human actions, traditional human action recognition based on RGB video data is a very challenging research topic. According to some deficiencies of existing recognition method based on RGB video data, a novel human action recognition method is proposed based on depth image data. In this new method, the block mean feature in the depth difference motion historical image is fused with the Gabor feature as mixed features and then a rotation forest algorithm is used to model. The experimental results show that the proposed method is simple, fast and efficient compared …


Prediction Model Of Coke Quality Based On De-Bp Neural Network, Wenhua Tao, Zhengbo Yuan 2019 School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China;

Prediction Model Of Coke Quality Based On De-Bp Neural Network, Wenhua Tao, Zhengbo Yuan

Journal of System Simulation

Abstract: The quality of coke has a great effect on the furnace process. In order to solve the problem of large amount of calculation and inspection of coke quality prediction linear method, the coke quality prediction model based on DE-BP neural network is established on the basis of analyzing the factors affecting coke quality, which uses principal component analysis method to determine the parameters of the input vector with the coal and coke ash quality indicators Ad, sulfur Std, crushing strength M40, abrasion resistance M10 as the output vector prediction. The result of …


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