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Pose Estimation Using Convolutional Neural Network With Synthesis Depth Data, Wang Song, Fuchang Liu, Huang Ji, Weiwei Xu, Hongwei Dong 2020 1. Jiangnan University, Wuxi 214122, China;;

Pose Estimation Using Convolutional Neural Network With Synthesis Depth Data, Wang Song, Fuchang Liu, Huang Ji, Weiwei Xu, Hongwei Dong

Journal of System Simulation

Abstract: 3D scenes can be reconstructed more easily and rapidly with depth camera. However, it is difficult to retrieve items in 3D scenes from a single view depth image, especially for the pose estimation. In this paper, we present a method of pose estimation using convolutional neural network with synthesis depth data, which predicts the items' pose in 3D scenes by regression. This is achieved by (i) synthesizing large amount of depth images with different pose for linear regression using 3D model, (ii) designing a class-dependent linear regression framework, which estimates the object's pose from different classes separately, …


Key Technologies Of Precaution And Prediction Of Abnormal Spatial-Temporal Trajectory: A Review Of Recent Advances, Gongda Qiu, He Ming, Yang Jie, Yuting Cao, Jihong Sun 2020 1. College of Command and Control Engineering, The Army Engineering University of PLA,Nanjing 210002, China;;

Key Technologies Of Precaution And Prediction Of Abnormal Spatial-Temporal Trajectory: A Review Of Recent Advances, Gongda Qiu, He Ming, Yang Jie, Yuting Cao, Jihong Sun

Journal of System Simulation

Abstract: The ex-post disposition of a major incident, which is expected to transform into prediction and precaution of abnormal behavior, is increasingly unable to meet the urgent needs of the society.Therapid development and popularization of sensor network and positioning technology lay the foundation for mining spatial-temporal trajectory data. With the key objective of prediction and precaution of abnormal trajectory based on big data mining, the future research directions and prospects on trajectory clustering and recognitionareanalyzed, discussed and elaboratedinthis paper.Temporal trajectory prediction applied in prediction and precaution of abnormal spatial-temporal trajectory is also presented, providing a reference for further research on …


Triangular Mesh Clipping Using Triangular Decomposition, Guojun Chen, Yingying Huang, Li Hua, Jinling Li, Jingyi Liu 2020 1. College of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, China;;

Triangular Mesh Clipping Using Triangular Decomposition, Guojun Chen, Yingying Huang, Li Hua, Jinling Li, Jingyi Liu

Journal of System Simulation

Abstract: Triangular mesh clipping is widely used in grid reconstruction, grid deformation, terrain fusion and analysis, and many other fields. In the application of geographic information system (GIS), triangular mesh clipping is the key to the fusion of terrain surface model and building model. However, existing polygon clipping algorithms do not take the space relationship of adjacent triangles into account.If they were directly used in triangular mesh clipping, T-intersections would appear in the cutting results, leading tounstable triangular mesh. In order to solve this problem, a triangular mesh clipping algorithm based on triangular decomposition is proposed. Triangular decomposition is implemented …


Realistic Simulation Of Potted Monocot Plant Based On Ifs, Fanxing Zhang, Feiya Lu, Meili Wang 2020 Northwest A&F University, College of Information Engineering, Yangling 712100, China;

Realistic Simulation Of Potted Monocot Plant Based On Ifs, Fanxing Zhang, Feiya Lu, Meili Wang

Journal of System Simulation

Abstract: Potted monocot plants are one of the most indispensable plants for landscaping and environment. This paper establishes 3D geometric model of branches, twigs, branches and leaves of potted monocot plants with adjustable morphology parameters based on iterated function system. Specifically, considering the self-similarity and randomness of branch bifurcation structure, a corresponding pruning operation module is established. The visualization of the pruning of the branch morphology with higher degrees of freedom is implemented through the affine transformation matrix and geometric model, producing more realistic computer simulation results. This paper provides guidance for the study and market selection of potted plants.


Study On Fusion Algorithms Of Gf-2 Satellite Image, Shiqin Xie, Tianzhong Zhao, Wang Wei, Jingjing Shi 2020 1. Beijing Forestry University, HaiDian, Beijing 100083, China;;

Study On Fusion Algorithms Of Gf-2 Satellite Image, Shiqin Xie, Tianzhong Zhao, Wang Wei, Jingjing Shi

Journal of System Simulation

Abstract: This paper compared 4 kinds of image fusion methods through the GF-2 panchromatic and multispectral data fusion test. The subjective qualitative evaluation and objective quantitative evaluation were applied to analyze the quality of the fusion images, which were classified by the maximum likelihood method to select the suitable fusion method for GF-2 image. Test results showed that, among the four fusion methods, Pansharp transform achieved better fusion effect. It had the best subjective and objective qualitative evaluation; It had the highest overall classification accuracy in the maximum likelihood classification test. The experiment results indicated that the Pansharp transform had …


Augmented Reality System Based On Depth Image Segmentation And Object Tracking, Jiabo Yang, Yang Gang, Yang Meng 2020 School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China;

Augmented Reality System Based On Depth Image Segmentation And Object Tracking, Jiabo Yang, Yang Gang, Yang Meng

Journal of System Simulation

Abstract: In this paper, an augmented reality scheme that can achieve the virtual-real objects' interaction effectively is proposed. The depth camera, such as Kinect, is adopted to capture the depth image of scene, and then the segmentation and dynamic tracking of the scene objects are implemented based on the depth image. In the scene segmentation, we propose a scene segmentation strategy based on the prior knowledge. The large plane objects existing in the scene are firstly recognized according to the prior knowledge. Then, the clustering segmentation is applied to the remaining points to get the scene objects. This strategy is …


Fault Diagnosis Model Of Circuit Breaker Based On Sparse Representation And M-Elm, Weihua Niu, Guishu Liang, Zhao Peng 2020 1. Department of Computer, North China Electric Power University, Baoding, 071003, China;;

Fault Diagnosis Model Of Circuit Breaker Based On Sparse Representation And M-Elm, Weihua Niu, Guishu Liang, Zhao Peng

Journal of System Simulation

Abstract: In order to improve the deficiencies of the conventional methods used to evaluate the mechanical properties of circuit breaker, a new circuit breaker diagnosis model based on sparse representation and M-ELM (Memetic-Extreme Learning Machine) is constructed. Auxiliary mark motion on the pull rod or shaft is recorded by a high speed camera when the circuit breaker is open or close. The motion trajectory is acquired through sparse representation and mechanical parameters, such as open and close velocity, are calculated according to the travel-time curve of the circuit breaker. With mechanical parameters characteristic values being inputs of M-ELM, fault …


Performance Analysis Of Digital Refocusing Process Based On Light Field Imaging, Suping You, Yucheng Lu, Zhang Wei, Yang Bo 2020 1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology,Shanghai 200093;;2. School of Science, Hangzhou Dianzi University, Hangzhou,Zhejiang 310018;

Performance Analysis Of Digital Refocusing Process Based On Light Field Imaging, Suping You, Yucheng Lu, Zhang Wei, Yang Bo

Journal of System Simulation

Abstract: Digital refocusing is one of the important properties of light field imaging, and the analysis of its performance has important reference value for the study of light field imaging. In this paper,two different digital refocusing algorithms based on the microlens array light field camera (LFC) in spatial and frequency domain are presented. We study the influences of different domains, interpolation methods and sample radius in digital refocusing algorithm on image quality and computation speed. And we yield a tradeoff between image quality and time consumption in two domains. Experiment results suggest that the two algorithms can achieve digital refocusing …


Fuzzy Sliding Mode Control Of Double Inverted Pendulum Based On Linear Adaptive Qpso Tuning, Xin Jing, Xiangshuai Han, Yanming Liang, Cuicui Yan 2020 1. School of Automation & Information Engineering, Xi'an University of Technology, Xi'an 710048, China;;2. Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi'an 710048, China;;

Fuzzy Sliding Mode Control Of Double Inverted Pendulum Based On Linear Adaptive Qpso Tuning, Xin Jing, Xiangshuai Han, Yanming Liang, Cuicui Yan

Journal of System Simulation

Abstract: To solve the problem of balancing control of linear double inverted pendulum, fuzzy sliding mode control method based on linear adaptive QPSO tuning is presented. According to the coupling property of the linear double inverted pendulum system, decoupling is applied twice and fuzzy sliding mode balancing controller is designed. The parameters of fuzzy sliding mode controller are determined by the linear adaptive quantum particle swarm optimization algorithm (LAQPSO). Linear double inverted pendulum balancing control simulation results show that the proposed method can effectively reduce the chattering phenomenon existing in the traditional sliding mode controller and improve the accuracy and …


Development And Future Trend Of Computer Simulation And Quantum Computer Simulation, Wenhui Fan, Jiahui Wu 2020 1. Department of Automation, Tsinghua University, Beijing 100084, China; ;

Development And Future Trend Of Computer Simulation And Quantum Computer Simulation, Wenhui Fan, Jiahui Wu

Journal of System Simulation

Abstract: The development status of computer simulation in America and the development status of computer simulation in China were summarized; On the base of the comprehensive analysis of the development of quantum computing, the quantum computer based simulation(QCBS) was proposed, and the research fields of quantum computer based simulation were given including simulation modeling theory, simulation system and simulation application of QCBS; The application prospects of QCBS, such as applying in intelligent simulation, virtual simulation, parallel simulation and cloud computation based simulation, were proposed.


Source Location Algorithm Based On Chaos Artificial Bee Colony Algorithm, Yecai Guo, Weiwei Ma, Sainan Zhu 2020 1. School 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;

Source Location Algorithm Based On Chaos Artificial Bee Colony Algorithm, Yecai Guo, Weiwei Ma, Sainan Zhu

Journal of System Simulation

Abstract: Aiming at defects of large computational complex and poor real-time performance of the traditional power controlled response and phase transformation (Steering response power-phase transform, SRP-PHAT) based source localization algorithm, a novel SRP-PHAT source localization algorithm based on chaos artificial bee colony algorithm was proposed. In this proposed algorithm, the beam power function of the microphone array was used as the objective cost function to establish the mathematical model of the source localization, the global coverage of chaos and fast convergence speed and strong robustness of the artificial colony algorithm were combined to realize 3D localization of the sound source. …


Meta Modeling Methodology For Cnc System, Suhua Xiao 2020 College of Electromechanical Engineering, Guangdong Polytechnic Normal University, Guangzhou 510635, China;

Meta Modeling Methodology For Cnc System, Suhua Xiao

Journal of System Simulation

Abstract: Methodology development of CNC system takes the field as a carrier centric model, which applies UML / OCL in GME for CNC system meta-modeling. For the field characteristic analysis for CNC, a CNC field oriented CNCVFC meta-modeling methodology was proposed, which combined the view, feature, component three-dimensional relationship. According to field characterization CNC members and interactions, multi-view approach captures features CNC field was adopted, which mapped to the appropriate view plane to establish the appropriate view of the container field meta-model, CNC elaborated meta-modeling process, including structural meta-modeling, function meta-modeling and non-functional meta-modeling of three areas. A …


Fingerprinting Positioning Algorithm For Wifi Based On Locally Weighted Regression And Support Vector Regression Optimized By Artificial Bee Colony, Wang Yan, Fucheng Yin, Zhicheng Ji, Dahu Yan 2020 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;

Fingerprinting Positioning Algorithm For Wifi Based On Locally Weighted Regression And Support Vector Regression Optimized By Artificial Bee Colony, Wang Yan, Fucheng Yin, Zhicheng Ji, Dahu Yan

Journal of System Simulation

Abstract: Since the traditional location fingerprinting algorithms have poor positioning accuracy and cost laborious efforts constructing fingerprinting database during the offline phase, a novel LWR-ABCSVR positioning algorithm was proposed, that the derived algorithm was based on the locally weighted regression (LWR) method and support vector regression was optimized by artificial bee colony (ABCSVR) algorithm. By using the proposed algorithm, the fingerprinting database was expanded by LWR step. The ABCSVR algorithm was employed to build the nonlinear relationship between the RSS values of reference points and their locations. The position of mobile terminal was predicted by the constructed model. Simulation results …


Research On Simulation Of Multi-Target Micro-Doppler Separation And Extraction In Ballistic Midcourse, Yizhe Wang, Cunqian Feng, Jingqing Li 2020 Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China;

Research On Simulation Of Multi-Target Micro-Doppler Separation And Extraction In Ballistic Midcourse, Yizhe Wang, Cunqian Feng, Jingqing Li

Journal of System Simulation

Abstract: Aiming at the intricate overlap and difficult separation and extraction of micro-Doppler information in Doppler spectra of warheads and fragments in midcourse, a novel method based on CEEMD and improved self-adaptive Viterbi algorithm was proposed. By analyzing the differences of micro-Doppler distribution between warheads and fragments, the echo was decomposed by CEEMD and each IMF was denoised by wavelet threshold denoising method, resulting in separation of warheads and fragments echo. The fragments signal was stretched, the optimal path was extracted combined with improved self-adaptive Viterbi algorithm, and the separation of multi-target signal and extraction of micro-Doppler was realized. Simulation …


Study On Single-Point Dresser Wear Intelligent Prediction Method, Yulun Chi, Haolin Li, Yue Tai 2020 University of Shanghai for Science and Technology, Shanghai 200093, China;

Study On Single-Point Dresser Wear Intelligent Prediction Method, Yulun Chi, Haolin Li, Yue Tai

Journal of System Simulation

Abstract: In precision grinding process, grinding wheel should be dressed in time to keep the wheel sharpness and correct geometry. Now, it is still a difficult problem how to effectively predict the dresser wear in process. According to the single-point dresser wear mechanism, a method was proposed to predict the single-point dresser wear based on the acoustic emission signal and the sequential minimal optimization support vector machines (SMO-SVM) model. The wavelet packet algorithm was used to exact acoustic emission signal characteristic information. According to the large sample of acoustic emission signal, the sequential minimal optimization support vector machines (SMO-SVM) model …


Svpwm Algorithm Based On Non-Orthogonal Coordinates, Shuaiqi Ma, Pengchao Zhang 2020 School of Electrical Engineering, Shaanxi sci-tech University, Hanzhong 723000, China;

Svpwm Algorithm Based On Non-Orthogonal Coordinates, Shuaiqi Ma, Pengchao Zhang

Journal of System Simulation

Abstract: As to the issue of complex trigonometric calculation for conventional SVPWM modulation algorithms, an SVPWM optimization algorithm in non-orthogonal coordinate system was proposed. By using Clark, Non-orthogonal Coordinate and per unit transformation, the algorithm simplified the regional judgment of reference vector in the sectors and triangle and optimized the calculation of basic vector action time. It realized normalization of three vectors times by using a normalization algorithm for mapping other sectors to I sector. The algorithm can effectively reduce the amount of SVPWM algorithm calculation, switching frequency, and switching losses. Simulation results show that the algorithm is …


Adaptive Fuzzy Robust H∞ Control Of Flexible-Joint Space Robot, Lijiao Zhang, Chen Li 2020 1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China; ;2. Collaborative Innovation Center of High End Equipment Manufacturing, Fuzhou 350116, China;

Adaptive Fuzzy Robust H∞ Control Of Flexible-Joint Space Robot, Lijiao Zhang, Chen Li

Journal of System Simulation

Abstract: In order to solve the problem of trajectory tracking and vibration suppression control for parameter unknown flexible-joints space robot system, a joint flexibility compensation controller was introduced to improve the equivalent stiffness of the joint; by using the singular perturbation method, the system was decomposed into a slow subsystem and a fast subsystem. For the slow subsystem, the adaptive fuzzy H∞ control algorithm was designed; by using the fuzzy logic system to approximate the system uncertainty, a robust H∞ control was used to eliminate the influence of the fuzzy approximation legacy of error to the output tracking …


Infrared Image Segmentation Based On Improved Dimensional Otsu And Genetic Algorithm, Kun Wang, Zhang Yang, Shengbo Song, Jingchang Zhuge 2020 Civil Aviation University of China, Tianjin 300300, China;

Infrared Image Segmentation Based On Improved Dimensional Otsu And Genetic Algorithm, Kun Wang, Zhang Yang, Shengbo Song, Jingchang Zhuge

Journal of System Simulation

Abstract: In order to improve the image segmentation of circuit board, and solve the problem of circuit board fault diagnosis, a new algorithm combines adaptive genetic algorithm and improved two-dimensional OTSU algorithm was proposed. a fast sorting method, in accordance with changes in the genetic algebraic, crossover and mutation probability was improved; according to the distance between the center and neighboring pixels pixel for the neighborhood average algorithm to weight the scale factor, on the basis of judgment on noise point of thermal infrared image to reduce noise; and introduced into the class variance method to solve the equation for …


Development Of Hybrid Electric Vehicle Hardware-In-The-Loop Testing System, Bin Yan, Ting Yan, Yang Lin, Chen Liang, Zhou Wei 2020 1. School of Mechanical Engineering of Shanghai Jiao Tong University, Shanghai 200240, China; ;

Development Of Hybrid Electric Vehicle Hardware-In-The-Loop Testing System, Bin Yan, Ting Yan, Yang Lin, Chen Liang, Zhou Wei

Journal of System Simulation

Abstract: Control system has significant influence on Hybrid Electric Vehicles (HEV) acceleration performance, drivability and reliability. In order to ensure system reliability and safety, an elaborate test was done for different performance indexes in the process of system development. Though software-based test has some advantage in testing process and flexibility, it is only able to achieve logical verification on basic function of control strategy. Besides, it does not take into account of the effect of controller hardware, and has some limitation in real-time testing. Instead, hardware-in-the-loop (HIL) can overcome these shortages, can test systematically for controller. HEV test environment was …


Weapon Effectiveness Simulation System (Wess), Yonglin Lei, Yao Jian, Zhu Ning, Yifan Zhu, Weiping Wang 2020 Institute of Simulation Engineering, College of Information System and Management,National University of Defence Technology, Changsha 410073, China;

Weapon Effectiveness Simulation System (Wess), Yonglin Lei, Yao Jian, Zhu Ning, Yifan Zhu, Weiping Wang

Journal of System Simulation

Abstract: Combat Systems Effectiveness Simulation (CESS) is an important supportive means to combat systems analysis and conceptual design. When confronted with issues like model reusability, simulation composability, and system evolvability, traditional approaches to develop CESS systems find their limitations. Based on years experiences in CESS field and best practices found in overseas CESS simulation systems, a model architecture based CESS modeling methodology was proposed. Around a sophisticated CESS model architecture, a generic CESS system, named WESS, was realized. The functional features, software architecture, application processes, and key aspects of WESS were introduced. A typical case study demonstrates the functionalities of …


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