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Articles 5101 - 5130 of 13783
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Triangular Mesh Clipping Using Triangular Decomposition, Guojun Chen, Yingying Huang, Li Hua, Jinling Li, Jingyi Liu
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 …
Study On Fusion Algorithms Of Gf-2 Satellite Image, Shiqin Xie, Tianzhong Zhao, Wang Wei, Jingjing Shi
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 …
Human Contour Extraction Based On Skeleton Matching, Zhang Yuan, Jiang Hao, Dengming Zhu, Zhaoqi Wang
Human Contour Extraction Based On Skeleton Matching, Zhang Yuan, Jiang Hao, Dengming Zhu, Zhaoqi Wang
Journal of System Simulation
Abstract: To extract human contour in still images, we propose a human contour extraction method based on skeleton matching. Skeleton key points are points representing human skeleton in images. Optimal human contour key points corresponding to skeleton key pointscanbe extracted by constructing hidden Markov modelthrough skeleton key points and image pixels' edge information combined with human body morphology as prior knowledge. Few human contour key points can generate reasonable human contour. TheHermiteinterpolation is usedto connect these key points to obtain human contour. Experimentresults show thatour method can extract reasonable human contour in simple scene, andhas higher speed and achieves …
Vehicle-Distance Measurement Based On Plate Area, Chunlian Yao, Shengnan Feng, Fangfang Zhang, Huilin Si
Vehicle-Distance Measurement Based On Plate Area, Chunlian Yao, Shengnan Feng, Fangfang Zhang, Huilin Si
Journal of System Simulation
Abstract: Estimating the distance between two vehicles is very important for transport safety. In order to keep the driving safety and avoid the traffic accidents, the visual-based vehicle detection and vehicle distance measurement are studied. In order to improve the detection precision and shorten the testing time, frame difference is combined with adaboost algorithm to detect vehicle. In the part of distance measurement, a method to calculate the distance between vehicles based on the pixels size of the vehicle's plate area in the image is proposed. Firstly, the image of the rear end of the vehicle is processed for …
Three-Point Subdivision Scheme With Multi-Parameters For Reproducing Conic Splines, Huanxi Zhao, Qiu Xia
Three-Point Subdivision Scheme With Multi-Parameters For Reproducing Conic Splines, Huanxi Zhao, Qiu Xia
Journal of System Simulation
Abstract: A non-static and non-stationary three-point subdivision schemes with three parameters was proposed to generate piecewise C1 rational quadratic Bezier spline curves. In particular, for special values of the tension parameters, the proposed scheme will be capable of reproducing all conic sections exactly and conic spline curve. In addition, the proposed subdivision scheme is approximation-type, but the limit curve generated by such scheme interpolates the initial control points, and by selecting the appropriate parameters, the proposed scheme is circle-preserving, line-preserving, cusp-preserving. Numerical examples show that the proposed subdivision scheme has a strong modeling capability.
Spatio-Temporal Data Organization Model Of Unified Ground And Aerial Battlefield And Its Application, Li Feng, Wan Gang, Bingchuan Jiang, Xuefeng Cao
Spatio-Temporal Data Organization Model Of Unified Ground And Aerial Battlefield And Its Application, Li Feng, Wan Gang, Bingchuan Jiang, Xuefeng Cao
Journal of System Simulation
Abstract: Aiming at the requirement of battlefield environment data in joint operations, a spatio-temporal data organization model of unified ground and aerial battlefield based on grid division is proposed in this paper. The sphere grid division is adopted to divide the space to extend to the time dimension. Also, the spatio-temporal grid coding is designed. The field and object are combined to build the BSTD organization model, where the sphere layer and sphere volume grid unit are used separately as the reference space to quantitatively describe the field, and the spatio-temporal grid coding is adopted to describe the …
3d Scene Reconstruction Based On Mismatching Eliminating Algorithm, Liping Lin, Yaping Zhang
3d Scene Reconstruction Based On Mismatching Eliminating Algorithm, Liping Lin, Yaping Zhang
Journal of System Simulation
Abstract: For the case of mismatching in feature detection and matching based on SIFT algorithm, a method based on RANSAC is proposed in this paper to eliminate false matches. RANSAC treats all input data differently. An objective function is created and its parameters are estimated by iterative algorithm. All the data are divided into two categories based on the estimated parameters and the points that satisfy the estimated parameters are reserved and the points which do not satisfy the estimated parameters are eliminated. And then the function parameters are re-estimated with all the satisfied points. Experiment results show that …
Multi-Character Animation Scene Construction Based On Crowd Patches, Wang Xin, Shao Lei, Shengyong Chen
Multi-Character Animation Scene Construction Based On Crowd Patches, Wang Xin, Shao Lei, Shengyong Chen
Journal of System Simulation
Abstract: In order to simulate large-scale crowd motion, a synthesis method based on crowd motion patches is proposed. First, the characters' statistical model in a single crowd patch is obtained based on PCA by takingseveral sets of motion data with same semantics. An algorithm which controls the character's position in the motion crowd is proposed based on Voronoi diagram. A steady crowd motion model and detailed motion information of each character are achieved using the proposed algorithm. Finally, taking into account the random interactive motion of the crowd characters, we propose analgorithm that presents the interactions of characters …
Image Segmentation And Offset Correction Based On Minimal Relative Entropy Theoryand Level Set Method, Xiuqiang Pan, Jinxiao Shan, Caifeng Yang
Image Segmentation And Offset Correction Based On Minimal Relative Entropy Theoryand Level Set Method, Xiuqiang Pan, Jinxiao Shan, Caifeng Yang
Journal of System Simulation
Abstract: The new variational level set method is achieved with the combination of the traditional level set method and the energy function which is established by means of statistical model according to the minimal relative entropy.The new method isappliedto object segmentation and offset correction in intensity heterogeneous image.Object segmentation and offset correction are unified according to the evolution of the level set function, anda deviation estimation function with intrinsic smooth feature is obtained.The results prove that the overlapping areas between different tissues are significantly decreased and more accurate results are achieved. In addition, this model is not …
Behavior Simulation Of Virtual Object Based On Physical Property, Yunbin Yang, Liangli He, Huaiyu Zhang, Lifan Wei
Behavior Simulation Of Virtual Object Based On Physical Property, Yunbin Yang, Liangli He, Huaiyu Zhang, Lifan Wei
Journal of System Simulation
Abstract: At present, because of the complexity and real-time requirement, the modeling and simulation method proposed in virtual assembly and maintenance based on physical property is difficult to apply. The development actuality of modeling and simulation method based on physical property is simply investigated. Product hierarchy information model and its implementation method are established, and fast modeling method based on physical property is presented. Behavior property description of virtual object using matrix is established and behavior property of virtual object is depicted in cases of grasp/placement, movement and drop. Behavior simulation method including force input method and force feedback method …
Analysis And Optimization Of The Action Chain Mechanism In Agent2d Underlying In Robocup2d Soccer League, Chen Bing, Feifan Xu, Hanyan Xu, Zekai Cheng, Liu Cheng
Analysis And Optimization Of The Action Chain Mechanism In Agent2d Underlying In Robocup2d Soccer League, Chen Bing, Feifan Xu, Hanyan Xu, Zekai Cheng, Liu Cheng
Journal of System Simulation
Abstract: In the RoboCup2D soccer league, Agent2D is one of the most widely used underlying team in China. Data transmission noise and the incomplete action chain mechanism make the underlying teams using Agent2D be lack of flexibility. This paper introduces an action correcting parameter and optimizes the operation of the action chain by reinforcement learning mechanism. The performance of the Agent2D underlying team is improved in the game and the adaptability of the team is enhanced. Simulation experiment results show that this method has a certain effect.
Augmented Reality System Based On Depth Image Segmentation And Object Tracking, Jiabo Yang, Yang Gang, Yang Meng
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 …
Virtual Ceramic Art Creation And Simulation Based On Osg, Zhao Zhi, Jianwen Song, Tiejun Li, Luo Yan, Wang Bo, Zhigeng Pan
Virtual Ceramic Art Creation And Simulation Based On Osg, Zhao Zhi, Jianwen Song, Tiejun Li, Luo Yan, Wang Bo, Zhigeng Pan
Journal of System Simulation
Abstract: It is so complicated that artist would keep away from multiple related software file format conversion with independent software systems, when artist creates works of ceramic art with CAD. Therefore, many people are still engaged in making ceramic art using traditional methods at present. With the continuous improvement of the quality of Chinese social life, people's demand for ceramic art is increasing and artist's works could not meet the needs of people. This paper study the key technology that enable non-professional people to experience the whole process of Casting, Glazing, Firing and Finishing with VR and to enjoy their …
Loitering Munition's Speediness Prototype And Integrated Modeling Based On X-Plane, Zengyan Li, Xiaomin Li
Loitering Munition's Speediness Prototype And Integrated Modeling Based On X-Plane, Zengyan Li, Xiaomin Li
Journal of System Simulation
Abstract: Aiming at the difficulty and long cycle of R&D in mathematical modeling and aerodynamic parameters analysis during the process of loitering munition's preliminary design and verification, the speediness prototype and integrated modeling method based on X-Plane is proposed. The loitering munition's characteristics is analyzed. Meanwhile, the operation mechanisms of various simulation methods are summarized. The principle of X-Plane is also analyzed. Speediness prototype is realized through modeling, which is independent of the mathematical model and aerodynamic parameters. The airfoil and blade design are improved and special controls are implemented, such as mixing, parachute and folding …
Development And Future Trend Of Computer Simulation And Quantum Computer Simulation, Wenhui Fan, Jiahui Wu
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
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
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
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
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
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
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
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
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
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
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, Shangbin Ye, Jiajia Zhang, Yicheng Zhang, Yongtao Yao
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, Yaohua Chen, Lingxi Peng, Gu Peng
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, Yueming Dai, Minghui Wang, Wang Chun, Wang Yan
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, Zhao Liang, Zhanping Yang
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.
State Feedback Control Of Hybrid Active Power Filter, Yunjian Wang, Xiaoyun Liu, Rongzhi Zhang, Nana Xue
State Feedback Control Of Hybrid Active Power Filter, Yunjian Wang, Xiaoyun Liu, Rongzhi Zhang, Nana Xue
Journal of System Simulation
Abstract: According to the current tracking of active power filter, a state feedback control strategy was applied to three-phase shunt hybrid active power filter system, replacing popular PID controller, to overcome the drawbacks of the PID controller, such as big overshoot, error compensation etc.. The mathematical model was established and the feedback control law was derived based on the topological structure of hybrid active power filter selected. Moreover, the current detection used ip-iq detection algorithm while the stability of capacitor voltage in DC side used PI control. MATLAB/Simulink was applied to simulate the HAPF system, comparing with …