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Energy Efficiency Optimization For Discrete Manufacturing Workshop Based On Discrete Teaching-Learning-Based Optimization Algorithm, Junhui Xu, Wang Yan 2020 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Energy Efficiency Optimization For Discrete Manufacturing Workshop Based On Discrete Teaching-Learning-Based Optimization Algorithm, Junhui Xu, Wang Yan

Journal of System Simulation

Abstract: Because the discrete manufacturing workshop is multi-objective and multi-constraint, an energy efficiency optimization model whose optimization objective was to minimize the total energy consumption was built for discrete manufacturing workshop. Besides, an improved teaching-learningbased (TLBO) optimization algorithm for discrete energy efficiency workshop optimization was proposed. This improved algorithm introduced adaptive parameter in training phase to improve the learning efficiency and adaptability of the algorithm. In addition, second discrete process was introduced in the teaching stage and learning stage, respectively. This algorithm could be applied to the optimization of discrete manufacturing workshop under the precondition of ensuring the …


Simulation Technology Research On Streak Tube Imaging Lidar, Wenze Xia, Shaokun Han, Jingya Cao 2020 School of Opto-Electronics , Beijing Institute of Technology, Beijing 100081, China;

Simulation Technology Research On Streak Tube Imaging Lidar, Wenze Xia, Shaokun Han, Jingya Cao

Journal of System Simulation

Abstract: A simulation model on streak tube imaging lidar was introduced. The range equation of lidar, the pulse model of illuminating laser and the scanning equation were used in the model. The system noise was analyzed. The experiment result shows the effectiveness of proposed simulation model. The effect of the pulse laser peak power on distance precision of reconstructed range image was analyzed. This method provided theoretical guidance and desired result inspection for designing of the streak tube imaging lidar.


Modeling And Simulation Of Offshore Support Vessel Anchoring Operation, Hongbo Sun, Chaojian Shi, Wenjin Lin 2020 1. Merchant Marine College, Shanghai Maritime University, Shanghai 200135, China;;2. Navigation College, Jimei University, Xiamen 361021, China;;

Modeling And Simulation Of Offshore Support Vessel Anchoring Operation, Hongbo Sun, Chaojian Shi, Wenjin Lin

Journal of System Simulation

Abstract: In order to understand the configurations of mooring line and working wire, tension variation at release point of working wire and the influence of the offshore support vessel during anchoring operation, a mathematical models of OSV anchoring operation was established. According to the MMG (Ship Manoeuvring Mathematical Model Group) ship motion mathematical modeling theory, a 6dof ship motion mathematical model was built. And a 6dof cable motion mathematical model was established with finite difference method. A coupling ship-cable-anchor-cable system model was established. The system motion simulations were carried out, and the results indicate that the model …


Energy Consumption Analysis Of Discrete Manufacturing Based On Improved Principal Component Analysis Method, Chen Yan, Wang Yan 2020 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

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 …


Modeling And Simulation On Dynamics Of Epidemic Disease Based On Social Division Of Labor, haibin Li 2020 1. Engineering Training Center of Inner Mongolia University of Technology, Hohhot 010051, China; ;

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 …


Combining Crf And Deformable Part Model For Pedestrian Detection, Ma Ji, Jingjiao Li, Ma Li, Zhao Yue 2020 1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China;;2. School of Information, Liaoning University, Shenyang 110036, China;;

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 …


Virtual Needle Insertion And Haptic Interaction, Gao Zhan, Pan Fei, Jiehua Wang, Haiyan Pan, Zhengzheng Jiang 2020 1. School of Computer Science, Nantong University, Nantong 226019, China;;

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 …


Planar Structure Reconstruction For Indoor Scenes With Kinectfusion, Chenjianong Cai, Yifei Shi, Xu Kai, Dang Gang 2020 1. National University of Defence Technology, Changsha 410073, China;;2. Visual Computing Center, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China;

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.


Automatic Hair Contour Extraction Method With Complex Background, Yaoli Jin, Shiliang Wang, Xu Gang, Weihua Hu, Yigang Wang 2020 1. Department of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, China;;

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 …


Research For Skeleton Tree Matching Of Microscopic Image Of Diatom Cells, Xiaoyan Qiao 2020 College of Mathematic and Information Science, Shandong Institute of Business and Technology, Yantai 264005, China;

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. …


Simulation Model Of Crowd Following Phenomenon In Emergencies, Fang Hao, Liu Zhen, Lu Tao, Liangping Liu, Tingting Liu, Cuijuan Liu 2020 Faculty of Information Science and Technology, Ningbo University, Ningbo 315211, China;

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 …


Real-Time Rendering Of Large-Scale Coastal Water Based On Adaptive Optimization, Shunli Wang, Fengju Kang, Jianhua Xu 2020 1. School of Marine Technology, Northwestern Ploytechnical University, Xi'an 710072, China;;2. National Key Laboratory of Underwater Information Process and Control, Xi'an 710072, China;

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 …


Development Of A Virtual Reality System For Space Planning Simulation, Wenbo Yang, Yinhao Song, Zhao Xin 2020 1. Institute of Robotics and Automatic Information System, Nankai University, Tianjin Key Laboratory of Intelligent Robotics, Tianjin 300071, China;;

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 …


Advances In Research And Application Of In-Situ Visualization, Wang Fang, Sikun Li, Zhao Dan, Zeng Liang 2020 1. School of Computer, National University of Defense Technology, Changsha 410073, China;;2. Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China;

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 …


Sparse Representation Based Private Face Recognition In The Cloud, Liu Yan, Jin Xin, Zhao Geng, Xiaodong Li, Yingya Chen, Guo Kui 2020 1.Beijing Electronic Science and Technology Institute, Beijing 100070, China;;2.Xidian University, Xi'an 710071, China;

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 …


Pose Estimation Using Limbs Adjustment, Cai Peng, Dehui Kong, Baocai Yin, Huo Yi 2020 Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China;

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 …


Improved Method Of Extracting Hks Descriptors And Non-Rigid Classification Applications, Jingyu Jiang, Lili Wan 2020 1. Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;;2. Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing 100044, China;

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, …


Design And Realization Of Optimization System For Rice Type, Weilong Ding, Lifeng Xu, Wei Yang, Gao Nan 2020 College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China;

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 …


3d Reconstruction Of Weak Texture Image Based On Tensor Voting And Dense Map Method, Mingwei Chen, Yang Yang 2020 1. Kunming University of Science and Technology, Kunming 650500, China;;

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 …


Research Of Virtual Reality Technology In The Treatment Of Anxiety Disorders And Autism, Cuijuan Liu, Liu Zhen, Tingting Liu, Lu Tao, Fang Hao, Liangping Liu 2020 1. Faculty of Information Science and Technology, Ningbo University, Ningbo 315211, China;;2. Intelligent Control Research Institute, Zhejiang Wanli University, Ningbo 315101;

Research Of Virtual Reality Technology In The Treatment Of Anxiety Disorders And Autism, Cuijuan Liu, Liu Zhen, Tingting Liu, Lu Tao, Fang Hao, Liangping Liu

Journal of System Simulation

Abstract: The research of virtual reality technology in the adjuvant treatment of mental diseases has caused wide concern. Anxiety disorders and autism are two major mental diseases in today's society, which has been plagued by both adults and children. Conducting anxiety and autism's rehabilitation has important practical significance. The research of virtual reality technology application in anxiety disorders and autism was reviewed, emotion regulation in the adjuvant treatment of mental diseases was discussed, emotion agents and emotion models were summarized, a technical roadmap of emotion adjuvant treatment for mental diseases was proposed, the architecture of emotion agent was constructed, and …


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