Study On Fusion Algorithms Of Gf-2 Satellite Image,
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,
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,
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,
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,
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,
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,
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,
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,
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,
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,
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,
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,
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,
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,
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),
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 …
Research On Full-Circuit Simulation Platform For Conducted Noise Pre-Evaluation,
2020
School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;
Research On Full-Circuit Simulation Platform For Conducted Noise Pre-Evaluation, Shangbin Ye, Jiajia Zhang, Yicheng Zhang, Yongtao Yao
Journal of System Simulation
Abstract: As conducted noise frequency band of power convertor in electric vehicle is stricter than that in normal industrial equipment, a conducted noise simulation modeling method is needed which is suit for wide frequency range. A full-circuit conducted noise modeling method based on component model was proposed, in which high frequency dynamic characteristic was simulated by the active device model, complex impedance characteristic at full frequency band was described by the passive model, distributed parameter of bus structure and near-field coupling parameter were extracted to simulate their influence on coupling path of conducted noise. On the basis, full-circuit simulation platform …
Speed-Aware-Based Reliable Probabilistic Route In Manet,
2020
1. School of Mechanical & Electric Engineering, Guangzhou University, Guangdong 510006, China; ;
Speed-Aware-Based Reliable Probabilistic Route In Manet, Yaohua Chen, Lingxi Peng, Gu Peng
Journal of System Simulation
Abstract: For broadcast problem of routing in MANET, speed-aware-based reliable probabilistic route discovery (SRPR) scheme was proposed. SRPR considered speed vector and all nodes were divided into reliable nodes and un-reliable nodes. A node among reliable nodes closest to destination was assigned a high probabilistic routing decision by greedy forwarding strategy. The reliability of routing was improved and the number of routing hop was reduced by SRPR scheme. Ad Hoc On-demand Distance Vector (AODV) routing was adopted in the experiments. Simulation results show that the proposed routing protocol mitigates the broadcast storm problem and outperforms in term of number of …
Double Bare Bones Particle Swarm Algorithm For Solving Flexible Job-Shop Scheduling Problem,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Double Bare Bones Particle Swarm Algorithm For Solving Flexible Job-Shop Scheduling Problem, Yueming Dai, Minghui Wang, Wang Chun, Wang Yan
Journal of System Simulation
Abstract: To solve flexible job shop scheduling problem, a double bare bones particle swarm algorithm (DBBPSO) was proposed to minimize the makespan. Combining Von-neumann bare bones particle swarm optimization algorithm and chaotic mutation bare bones particle swarm optimization algorithm, the algorithm DBBPSO used a communication method to cooperate evolution. This approach could keep balance between global exploration and local exploration, and a machine selection method was proposed based on the tenet of minimizing makespan. The proposed algorithm was compared with other algorithms on four benchmark problems and a scheduling optimization example. Simulation results indicate that the improved algorithm has …
Model Uncertainty Quantification For Dependent Variables Based On Random Set Theory,
2020
1. Southwest University of Science and Technology, School of Information Engineering, Mianyang 621010, China; ;
Model Uncertainty Quantification For Dependent Variables Based On Random Set Theory, Zhao Liang, Zhanping Yang
Journal of System Simulation
Abstract: Random set theory provides a uniform mechanism for model uncertainty quantification in system analysis. An improved method was proposed based on random set theory for uncertainty quantification considering the dependence among system variables. The Nataf transformation was used to generate dependent random samples to be consistent with correlation coefficients information, and then the joint basic probability assignments for the multidimensional focal elements were calculated to construct the random set. The result of uncertainty quantification based on the random set can reflect the real system response under dependent variables. Simulation results show the presented method rationality.
