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2020

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Articles 571 - 600 of 1941

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

New Voltage Balancing Method For Cascaded Rectifier Based On Predictive Power Model, Hongbin Pan, Linhai Liu, Zhiyong Xiao, Sicheng Ou, Maokun Zhu, Fen Xu Aug 2020

New Voltage Balancing Method For Cascaded Rectifier Based On Predictive Power Model, Hongbin Pan, Linhai Liu, Zhiyong Xiao, Sicheng Ou, Maokun Zhu, Fen Xu

Journal of System Simulation

Abstract: The dq synchronous system was built by constructing virtual orthogonal voltage and current based on second order generalized integrator. The predictive power model was derived to construct main control system of cascaded H-bridge rectifier combining the instantaneous power theory, which took the duty cycle of active and reactive power as control object. Then, a new voltage balancing control strategy was proposed dealing with the problem of DC voltage imbalance in cascaded H-bridge rectifier. The modification of active power was obtained by the voltage balance controller when the objective function of coupling effect achieves minimum and the active power was …

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Research Of Non-Dead-Time Control Method On Single-Phase Off-Grid Inverter Based On H6 Topology, Kun Xia, Li Jing, Ge Yue, Lirong Shen, Yiming Wang, Xu Po Aug 2020

Research Of Non-Dead-Time Control Method On Single-Phase Off-Grid Inverter Based On H6 Topology, Kun Xia, Li Jing, Ge Yue, Lirong Shen, Yiming Wang, Xu Po

Journal of System Simulation

Abstract: A novel non-dead-time control strategy based on H6 topology was proposed. Through detecting the value and direction of the output voltage and current of inductor, the power switches of bridge arm were modulated if they were in the same direction, and the freewheeling switches were modulated if they were opposite. In order to protect the DC bus voltage from shorting out, the dead time should be added during the zero-crossing of voltage and current. And the states of switches were adjusted by calculation of the control module. Then most dead time could be eliminated. The simulation model for the …

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Energy Consumption Analysis Of Discrete Manufacturing Based On Improved Principal Component Analysis Method, Chen Yan, Wang Yan Aug 2020

Energy Consumption Analysis Of Discrete Manufacturing Based On Improved Principal Component Analysis Method, Chen Yan, Wang Yan

Journal of System Simulation

Abstract: Due to the complexity of energy consumption of the discrete manufacturing system and the interaction between energy consumption indexes, the result of energy consumption analysis is hard to obtain, establishing energy efficiency evaluation index of discrete system, based on the three levels of energy consumption of products, equipment energy efficiency, the energy efficiency of task process. Furthermore, a method was proposed to analyze the discrete manufacturing process energy consumption based on improved principal component analysis method. The method introduced importance weights, overcame the shortcoming of traditional component analysis, which only emphasized the information weights, combined the subjective and …

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Precisely Algorithm And Simulation Of Plurality Of Random Deployed Circulars’ Total Coverage Area, Zhang Ye, Liu Kui, Yuzhi Chen, Junyang Liu, Jianchao Du Aug 2020

Precisely Algorithm And Simulation Of Plurality Of Random Deployed Circulars’ Total Coverage Area, Zhang Ye, Liu Kui, Yuzhi Chen, Junyang Liu, Jianchao Du

Journal of System Simulation

Abstract: A precisely algorithm of total coverage area when a plurality of circulars are random deployed and overlapping with each other is needed. The key issues of the solution are the calculating principle of the overlapping area, the differentiation and enumeration of the multi-overlapping circulars, and the calculation of the multi-shaped curved edges. Based on the inclusion-exclusion principle, overlapping area was added or subtracted to the amount area. The computer calculation process was proposed. Because the circulars are random deployed, in order to ensure the area coverage, the area cover rate problem of repeatedly deployment of the circulars were …

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Effective T2fpso-Based T2fsvm Scene Classification Algorithm, Shuqiong Xu, Conggui Yuan Aug 2020

Effective T2fpso-Based T2fsvm Scene Classification Algorithm, Shuqiong Xu, Conggui Yuan

Journal of System Simulation

Abstract: A systematic design methodology of Type-2 Fuzzy Particle Swarm Optimization (T2FPSO) based Type-2 Fuzzy Support Vector Machine (T2FSVM) classification system was proposed for scene image to improve selectivity and robustness in the machine vision. In the novel classification system, the T2FSVM model was presented to realize a comprehensive learning of the correct class and show the superiority of the generalization capability for classification problem. Furthermore, in order to improve the performance of PSO on complex uncertain environments, the type-2 fuzzy concept was incorporated to PSO to construct T2FPSO searching algorithm, in which the interval type-2 fuzzy inertia weight …

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Intelligent Effectiveness Evaluation And Optimization On Weapon System Of Systems Based On Deep Learning, Li Ni, Yuhong Li, Guanghong Gong, Xiaodong Huang Aug 2020

Intelligent Effectiveness Evaluation And Optimization On Weapon System Of Systems Based On Deep Learning, Li Ni, Yuhong Li, Guanghong Gong, Xiaodong Huang

Journal of System Simulation

Abstract: In the process of conventional WSoS (Weapon System of Systems) operational effectiveness evaluation, multiple complex steps including reconfiguring the scenario, rerunning the WSoS simulation system, and conducting effectiveness evaluation model calculations are taken. For the problems of conventional effectiveness evaluation method, such as the complex process and time-consuming, the intelligent evaluation method of WSoS combat effectiveness based on machine learning regression is proposed, and the optimization process of combat effectiveness based on evolutionary strategy is introduced. Taking the full connection depth regression network as the prediction model, the guiding selection principles of network hidden layer number and sample …

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Research On Nodes Re-Optimization Of Microwave Relay Network, Yunjun Lu, Kebin Chen, Mengyao Han, Yiqiao Jin Aug 2020

Research On Nodes Re-Optimization Of Microwave Relay Network, Yunjun Lu, Kebin Chen, Mengyao Han, Yiqiao Jin

Journal of System Simulation

Abstract: The microwave relay network nodes are studied and the topology is optimized. Considering the link attenuation probability, node attraction coefficient and communication redundancy, the optimal link set is obtained by genetic algorithm with the idea of network topology optimization. By calculating the degree of each node in the optimal link set and sorting the node with the value of degree, the candidates of the trunk nodes are given. The microwave relay network topology given by the conventional method is optimized. The method has certain versatility. It can be applied to the selection of other network trunks and relay nodes …

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Dynamic Equivalent Modeling And Simulation Of Wind Farm Based On Asw-Fcm Algorithm, Mudan Li, Yinsong Wang Aug 2020

Dynamic Equivalent Modeling And Simulation Of Wind Farm Based On Asw-Fcm Algorithm, Mudan Li, Yinsong Wang

Journal of System Simulation

Abstract: A new dynamic equivalent modeling method is proposed for the wind farm of directly-driven wind turbine with permanent magnet synchronous generator (D-PMSG). The wake effect and wind direction change between multiple wind turbines are considered to calculate the effective input wind speed, the effective wind speed, rotor speed, pitch angle and output power are selected as the multi-group indicators after analyzing the wind turbine operating characteristics. Considering the differences and relevance of the operating conditions between the turbines, an adaptive sample weighting fuzzy C-means clustering algorithm (ASW-FCM) is designed to optimally cluster the wind farm. The clustered wind turbine …

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Modeling And Simulation On Dynamics Of Epidemic Disease Based On Social Division Of Labor, Haibin Li Aug 2020

Modeling And Simulation On Dynamics Of Epidemic Disease Based On Social Division Of Labor, Haibin Li

Journal of System Simulation

Abstract: Prediction is an essential part of the epidemic prevention and control system, and it is of great significance to accurately establish a dynamic model of epidemiological evolution. The existing epidemiological modeling methods rarely consider the social division of labor of different groups. The entire group is divided into three subgroups, the ordinary residents, the social service personnel, and the front-line medical workers. Based on the heterogeneous uniform mixing theory, the subgroup adjacency matrix is used to represent the contact relationship between individuals, and a time-lapse dynamic model of epidemic spread and evolution is established. The simulation results show that …

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Combining Crf And Deformable Part Model For Pedestrian Detection, Ma Ji, Jingjiao Li, Ma Li, Zhao Yue Aug 2020

Combining Crf And Deformable Part Model For Pedestrian Detection, Ma Ji, Jingjiao Li, Ma Li, Zhao Yue

Journal of System Simulation

Abstract: Pedestrian detection has been widely used in many fields. It is one of the focus in computer vision. The part-based detection method in the pedestrian detection shows excellent performance and has a strong adaptability in posture change of human body. But it is not good for Occlusion problem. When the Discriminative threshold is higher, miss rate is very high. Considering the disadvantage of LSVM method for mining hidden information, a two layers classifier was proposed based on the deformable parts model establishing conditional random field model for Occlusion problem. For learning model parameters, the stochastic gradient descent and …

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Virtual Needle Insertion And Haptic Interaction, Gao Zhan, Pan Fei, Jiehua Wang, Haiyan Pan, Zhengzheng Jiang Aug 2020

Virtual Needle Insertion And Haptic Interaction, Gao Zhan, Pan Fei, Jiehua Wang, Haiyan Pan, Zhengzheng Jiang

Journal of System Simulation

Abstract: Needle insertion or puncture has been widely practiced in clinical medicine. A VR based training system for needle insertion was implemented in this study. The mechanical model during insertion process was designed. Linear element model was applied to realize the simulation of soft tissue deformation. The friction and the stick-slip motion model between the puncture needle and the soft tissue were implemented to simulate the force interaction between needle and soft tissue. The haptic interaction of needle insertion was realized as well to enhance the user experience. The experiment results show that the simulation can reflect the process …

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Study On Key Techniques About Refueling Simulation In Air, Hongtu Li, Guan Wei, Jijiang Song, Guangxing Zhao, Zewei Ma Aug 2020

Study On Key Techniques About Refueling Simulation In Air, Hongtu Li, Guan Wei, Jijiang Song, Guangxing Zhao, Zewei Ma

Journal of System Simulation

Abstract: The four key techniques of refueling flight simulation are studied on the base of a modern avion effective refueling flight simulation in the air. Characteristic of the usual scene simulation techniques is analyzed and the best scene simulation solution is found out, the theories of vortex interference and control & stability are explored deeply, and the models of vortex interference and control & stability are built with engineer data, system real time performance is researched, and the irregular back and fro of the refueling plane is worked off. the ideal result is harvested.

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Planar Structure Reconstruction For Indoor Scenes With Kinectfusion, Chenjianong Cai, Yifei Shi, Xu Kai, Dang Gang Aug 2020

Planar Structure Reconstruction For Indoor Scenes With Kinectfusion, Chenjianong Cai, Yifei Shi, Xu Kai, Dang Gang

Journal of System Simulation

Abstract: Online scanning and reconstruction with KinectFusion has greatly improved real-time reconstruction of indoor scenes with consumer depth camera. However, due to the limitation of depth resolution of current depth cameras, the quality of reconstructed scenes is in general unsatisfactory. This is especially true for planar structures which are commonly seen in indoor scenes and important in defining the major structure of an indoor room. A novel method was proposed for extracting and reconstructing planar structures from point clouds of indoor scenes scanned acquired by KinectFusion.

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Automatic Hair Contour Extraction Method With Complex Background, Yaoli Jin, Shiliang Wang, Xu Gang, Weihua Hu, Yigang Wang Aug 2020

Automatic Hair Contour Extraction Method With Complex Background, Yaoli Jin, Shiliang Wang, Xu Gang, Weihua Hu, Yigang Wang

Journal of System Simulation

Abstract: Hair contour extraction has important application in digital entertainment and simulation. An automatic hair contour extraction method for images with complex background was proposed. Image segmentation algorithm from foreground image was used to eliminate the interference of background image; face recognition and hair detection algorithms were employed to find the hair position and realize the automatic identification of the hair; in order to improve the accuracy of contour extraction, adaptive skin detection algorithm was used to eliminate the interference of face. The proposed method was applied on a lot of image examples. Experimental results demonstrate that this method can …

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Research For Skeleton Tree Matching Of Microscopic Image Of Diatom Cells, Xiaoyan Qiao Aug 2020

Research For Skeleton Tree Matching Of Microscopic Image Of Diatom Cells, Xiaoyan Qiao

Journal of System Simulation

Abstract: The image analysis technology based on morphological differences has become an important method of algae recognition in recent years. A skeleton similarity matching method was proposed to recognize microscopic images of diatom cells. The gray surface vector model of image was established to make segmentation by keeping obscure seta; The skeleton was used to represent the Chaetoceros, and it was decomposed hierarchically by competition strategy. The Chaetoceros object was represented by skeleton tree by forming the rachis elements and branches into it. The similarity mode for microscopic images of Chaetoceros was established by defining the topological and geometric difference. …

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Simulation Model Of Crowd Following Phenomenon In Emergencies, Fang Hao, Liu Zhen, Lu Tao, Liangping Liu, Tingting Liu, Cuijuan Liu Aug 2020

Simulation Model Of Crowd Following Phenomenon In Emergencies, Fang Hao, Liu Zhen, Lu Tao, Liangping Liu, Tingting Liu, Cuijuan Liu

Journal of System Simulation

Abstract: Researches on crowd behavior in emergent events are important practical significance for emergency management, most of the current crowd models are collision detection, motion plan and so on. According to the emergency scene analysis of surveillance video, following behaviors of crowd are obviously, modeling following behaviors is an interesting topic in crowd simulation. A following model was proposed based on classical social force model and OCEAN personlity theory, the concept of panic was introduced,, and following conditions of individual was set up, the speed formulas of individual were constructed. Experimental results show that the following model can closely simulate …

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Real-Time Rendering Of Large-Scale Coastal Water Based On Adaptive Optimization, Shunli Wang, Fengju Kang, Jianhua Xu Aug 2020

Real-Time Rendering Of Large-Scale Coastal Water Based On Adaptive Optimization, Shunli Wang, Fengju Kang, Jianhua Xu

Journal of System Simulation

Abstract: Focusing on the complex of the wave model and the poor performance of real-time in the large-scale coastal water visualization, a new method based on adaptive optimization for coastal water rendering in real-time was proposed. By introducing the automatic merging algorithm, the complex wave model could be constructed. According to the collision detection technology, the water mesh could be adaptively optimized. In order to improve the realistic, a noise was added to the water surface. The foam and reflection were realized by applying the dynamic texture mapping technology. The experimental results show that the generated coastal water has higher …

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Constructing Panoramic High Dynamic Range Image Based On Different Amounts Of Exposures, Quan Wei, Wang Ying, Yanchun Wang, Xuyang Wang, Yunrui Zhu Aug 2020

Constructing Panoramic High Dynamic Range Image Based On Different Amounts Of Exposures, Quan Wei, Wang Ying, Yanchun Wang, Xuyang Wang, Yunrui Zhu

Journal of System Simulation

Abstract: A method of constructing panoramic high dynamic range image was proposed. The classical method about different amounts of exposures was adopted by choosing sampling point carefully to generate better response curves for each child camera of the panoramic camera. Weighted method was applied to obtain panoramic response curve based on six response curves of each child camera. According to characteristics of spatial frequency, a template of panoramic image was selected, so as to complete the synthesis of high dynamic panoramic image. Experiments show that the response curve of panoramic camera can better reflect the characteristics, so the …

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Development Of A Virtual Reality System For Space Planning Simulation, Wenbo Yang, Yinhao Song, Zhao Xin Aug 2020

Development Of A Virtual Reality System For Space Planning Simulation, Wenbo Yang, Yinhao Song, Zhao Xin

Journal of System Simulation

Abstract: A virtual reality platform for space simulation was developed to simplify the implementation of weapon and based design. First, the architecture of the simulation system was described briefly; Second, based on the characteristics of space simulation platform, several key modules were introduced, including terrain real-time generation, analysis of space layout, and closest distance calculation. The terrain generation for space simulation platform was based on database management. The closest distance calculation was based on nearest neighbor k-d tree searching. In addition, a three-dimensional (3-D) model library, containing vehicles, test equipment, plant facilities, and other tools, was established for dynamic loading …

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Advances In Research And Application Of In-Situ Visualization, Wang Fang, Sikun Li, Zhao Dan, Zeng Liang Aug 2020

Advances In Research And Application Of In-Situ Visualization, Wang Fang, Sikun Li, Zhao Dan, Zeng Liang

Journal of System Simulation

Abstract: Scientific-Visualization is the most effective means of analyzing numerical simulation data. With the continuous improvement of the high performance computing technology, numerical simulation scale is growing rapidly. It is very difficult to analyze large scale parallel numerical simulation data efficiently due to the limits of IO bandwidth, storage system capacity and post processing pattern of visualization. In-situ visualization utilized the same computer system that ran the simulation tasks to operate visual computing and rendering, so it could overcome the limits of IO and storage system. The advances of in-situ visualization in recent years were reviewed, including data management, large-scale …

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3d Model Retrieval Based On Hand-Drawn Sketches, Dianhui Mao, Huanpu Yin, Haisheng Li, Cai Qiang Aug 2020

3d Model Retrieval Based On Hand-Drawn Sketches, Dianhui Mao, Huanpu Yin, Haisheng Li, Cai Qiang

Journal of System Simulation

Abstract: Currently, retrieve 3d models use hand-drawn sketch as query has become an active research field. In the Bag of Feature (BoF) framework, the granularity of the distinction and expression brought by the "hard clustering" is insufficient. To solve this problem, a new method was proposed: GALIF feature was extracted from each sketch and the set of view images of models. BOF was replaced by a feature coding based on “soft clustering”--Gaussian mixture model. A fast and effective manifold ranking algorithm was used to calculate the manifold similarity between images, giving the final retrieve results. The previous methods …

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Modeling And Simulation Of Nonlinear Ultrasonic Evaluation For Steel Damage By Finite Element Analysis, Yanyan Liu, Shiwei Ma Aug 2020

Modeling And Simulation Of Nonlinear Ultrasonic Evaluation For Steel Damage By Finite Element Analysis, Yanyan Liu, Shiwei Ma

Journal of System Simulation

Abstract: A method was developed to theoretically determine the creep damage of steel by using the nonlinear ultrasonic technique. A two-dimensional finite element model was built to simulate the creep damage of the material and the ultrasonic wave propagation through the degraded material. The nonlinear phenomenon of wave distortion was due to the microstructural changes of the material, which caused distortion that accumulated with propagation distance. Based on the model, the nonlinear parameter of the second-harmonic wave increased with the increase of temperature, which gave some guidelines for the evaluation of the early stage of the degradation of mechanical properties …

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Research On Discrete-Event Modeling And Simulation Language System, Chi Peng, Xiutao Yang, Baocun Hou Aug 2020

Research On Discrete-Event Modeling And Simulation Language System, Chi Peng, Xiutao Yang, Baocun Hou

Journal of System Simulation

Abstract: A discrete-event modeling and simulation language system was proposed. Program model, language specification, simulating support, compiler and simulating application of the language system were introduced. Primary users can directly and quickly build the simulation system. They can describe details of the models and connections between models by writing element and compound models. For good scalability and flexibility, advanced users can create and modify the element component by using C++ language. The language system screens the time management and information distributing for users, which require high simulating ability. Components can be loaded by the simulating engine, which can run on …

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Affinity Propagation Based Improved Group Search Optimizer Clustering Algorithm, Zhang Kang, Xingsheng Gu Aug 2020

Affinity Propagation Based Improved Group Search Optimizer Clustering Algorithm, Zhang Kang, Xingsheng Gu

Journal of System Simulation

Abstract: The essence of clustering is an optimization problem. It can be solved by swarm intelligent algorithms which are the popular research area in recent years. A novel Group Search Optimizer (GSO) algorithm named Fast Global Group Search Optimizer (FGGSO) was proposed. FGGSO improved the individuals' updating strategies of GSO, adopting the campaign strategy, destruction-construction strategy and accelerating-jumping strategy. By this means, the proposed algorithm improved the global and local search capability of the original GSO. Furthermore, based on this FGGSO algorithm, a novel improved AP algorithm was proposed. On account of deficiency of AP clustering unable to deal with …

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Modeling Analysis And Visualization Simulation For Leveled Stage Of Loitering Munition, Zengyan Li, Xiaomin Li Aug 2020

Modeling Analysis And Visualization Simulation For Leveled Stage Of Loitering Munition, Zengyan Li, Xiaomin Li

Journal of System Simulation

Abstract: Loitering munition can be launched by various platforms. However, due to the impact of the delivery platform, the initial launching status of the missile-borne aircraft is uncertain. The leveled stage of missile-borne aircraft is different from other traditional flight modes. For this particular process, the dynamic model in leveled stage was established. Reliable aerodynamic parameters were obtained by Fluent's simulation method. Based on Simulink, the flight simulation module and control strategy in leveled stage were designed. Simulink-FlightGear method was used to display the real-time flight state. Through the simulation, flight characteristics in leveled stage are achieved, such as, motion …

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Sparse Representation Based Private Face Recognition In The Cloud, Liu Yan, Jin Xin, Zhao Geng, Xiaodong Li, Yingya Chen, Guo Kui Aug 2020

Sparse Representation Based Private Face Recognition In The Cloud, Liu Yan, Jin Xin, Zhao Geng, Xiaodong Li, Yingya Chen, Guo Kui

Journal of System Simulation

Abstract: In order to protect user privacy, identification computing of user facial image data in the cloud was accomplished, the sparse representation based private face recognition method in the cloud was proposed. Terminal users collected face images and compared with face images in cloud database and then determined whether faces the terminal acquired belonged to the cloud face database, but both could not achieve each other's face image content. The method processed face images in database and cloud into sparse representation via a third-party terminal, then using Paillier and oblivious transfer homomorphic encryption algorithm to contrast sparse representation coefficient vector …

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Pose Estimation Using Limbs Adjustment, Cai Peng, Dehui Kong, Baocai Yin, Huo Yi Aug 2020

Pose Estimation Using Limbs Adjustment, Cai Peng, Dehui Kong, Baocai Yin, Huo Yi

Journal of System Simulation

Abstract: Human body is decomposed into several local component templates connected with tree structure by articulated pose estimation with mixture-of-parts, and the corresponding full score is used to estimate body pose. Such a method fails in precisely estimating human pose due to the defects of tree models when human has the complicated pose of body. To address this problem, pose estimation using limbs adjustment with mixtures-of-parts models was proposed. And pixel discrete direction, local characteristic functions blending full score and pixel discrete direction and other attributes, and pose estimation using limbs adjustment based on local characteristic functions of articulated position …

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Improved Method Of Extracting Hks Descriptors And Non-Rigid Classification Applications, Jingyu Jiang, Lili Wan Aug 2020

Improved Method Of Extracting Hks Descriptors And Non-Rigid Classification Applications, Jingyu Jiang, Lili Wan

Journal of System Simulation

Abstract: In order to make the HKS（heat kernel signature）have wider applicability in non-rigid shape analysis, an improved method of extracting HKS descriptors for unconnected non-rigid 3D models was proposed. The largest connected component was obtained. The HKS descriptors of the largest connected component were calculated and those descriptors of the boundary vertices and their 1-ring neighbors were excluded. For shape classifications, the dictionary was learned for each class based on the sparse representation theory. For a test model, each dictionary was utilized to sparsely represent its descriptor set, and the most appropriate dictionary was determined by the representation error, …

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Design And Realization Of Optimization System For Rice Type, Weilong Ding, Lifeng Xu, Wei Yang, Gao Nan Aug 2020

Design And Realization Of Optimization System For Rice Type, Weilong Ding, Lifeng Xu, Wei Yang, Gao Nan

Journal of System Simulation

Abstract: It is widely accepted that in traditional crop ideotype breeding, field trials are time-consuming, yet lacking appropriate ways to evaluate the target morphology to be optimal. In order to obtain ideal crop plant type quickly and automatically, meanwhile to reduce the side effects caused by manual operations in the processes of plant type design, e.g. the growing of labor costs and uncertainty of the outcome, a method based on genetic algorithms (GAs) and functional-structural plant model (FSPM) was proposed in this study to optimize plant type of virtual rice by dynamically adjusting phenotypical traits of rice plants. Based on …

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3d Reconstruction Of Weak Texture Image Based On Tensor Voting And Dense Map Method, Mingwei Chen, Yang Yang Aug 2020

3d Reconstruction Of Weak Texture Image Based On Tensor Voting And Dense Map Method, Mingwei Chen, Yang Yang

Journal of System Simulation

Abstract: Image based 3D reconstruction method can't effectively detect and match feature points and can't robustly expand 3D point cloud in weak texture image region, due to the fact that weak texture has single color and local reflection phenomenon. It is possible to produce model hole and a large number of 3D noise points, and affect the accuracy and integrity of 3D reconstruction. Slack variables constraint was used to filter mismatch features optimizing the camera matrix, in the dense point cloud expansion stage by using tensor voting principle to filter noise 3d point which is inconsistent with three-dimensional point's normal …

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