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6,662 full-text articles. Page 229 of 315.

Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei 2019 1. School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China; ;2. Jiangsu Provincial Key Laboratory of Food Manufacturing Equipment, Wuxi 214122, China;

Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei

Journal of System Simulation

Abstract: To solve the problem of rescheduling of workshop production process, combined with the present situation of transparent manufacturing process in discrete workshop, a decision method of rescheduling and an event processing in discrete workshop driven by the abnormal events are proposed. In the IOT driven discrete manufacturing workshop environment, the complex event processing technology is applied to analyze and deal with the real-time information on manufacturing processes. On this basis, by defining the driven mechanism, the decision scheme and the performance evaluation index of rescheduling, the decision method of rescheduling in discrete workshop facing the costing is put forward; …


Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan 2019 1. School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China; ;

Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan

Journal of System Simulation

Abstract: Considering the influence of heterogeneous travel on traffic flow distribution, the travelers’ route choice behaviors are classified into three types: price regulation, quantity regulation and price-quantity regulation. Three day-to-day dynamical stochastic assignment models based on the disequilibrium theory are established, and the existence, uniqueness, and stability of the solutions to these models are proved. Through model simulation, it proved that each path flow in these three models can converge to a steady state after a finite travel adjustment, and the day-to-day dynamical stochastic assignment model under price-quantity regulation can simulate the influence of heterogeneous travel behaviors on the distribution …


Improved Hybrid Devs-Based Equipment Modeling Method, Jianchun Zhang, Yanyang Zeng, Wenpeng Xu, Fengju Kang 2019 1. School of Computer Science and Technology, Henan Polytechnical University, Jiaozuo 454000, China; ;

Improved Hybrid Devs-Based Equipment Modeling Method, Jianchun Zhang, Yanyang Zeng, Wenpeng Xu, Fengju Kang

Journal of System Simulation

Abstract: Aiming at the shortcoming of model reuse and extensibility in the existing underwater warfare simulations, a hybrid modeling method based on improved hybrid DEVS (IHDEVS) is proposed. By analyzing the characteristics of combat in the underwater warfare, the event driven engagement process is constructed. From the two dimensions of entity function and behavior abstraction, a model classification strategy based on separation of concerns is designed, and a universal entity model framework is built based on the IHDEVS modeling theory, including layers of the interaction architecture, the coupling model and the atomic model. A typical example shows that this …


Numerical Simulation And Experimental Study On The Rolling Process Of Polar Particles, Yanjun Xiao, Kong Xuan, Wang Zhao, Zonghua Zhang, Yanchun Xiao 2019 School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China;

Numerical Simulation And Experimental Study On The Rolling Process Of Polar Particles, Yanjun Xiao, Kong Xuan, Wang Zhao, Zonghua Zhang, Yanchun Xiao

Journal of System Simulation

Abstract: The densification process of electrical paste particles during the process of battery pole piece rolling is studied. The mechanism of the pole rolling is analyzed theoretical;the basic parameters of the electric slurry particles in the movement are described; the force equation is established; and the basic conditions for the stable rolling are analyzed. The dynamic simulation is carried out by using relevant parameters, and the results are verified by theoretical analysis, numerical simulation and experimental verification. The results show that there is a certain relationship between the relative density of the electrode paste and the thickness of the …


Modeling And Research Of Global Allocation Policy In Cascading Failures, Chongjie Dong 2019 Dongguan Polytechnic, Dongguan 523808, China;

Modeling And Research Of Global Allocation Policy In Cascading Failures, Chongjie Dong

Journal of System Simulation

Abstract: In reality, the global loads of network usually alter when the structure and function of network change by a list of attacks. Based on this, the paper defines extra loads of the normal node inversely proportional to the distance of failure node and presents a new indicator named "diffusion step" to failure diffusion process, which uses the global allocation policy instead of neighbor or local feature of node. By simulating scale-free network, small-world network and random network, the average results of network show that the scale-free network has strong ability to resist failures. When the influence of global allocation …


Co-Matting Of Natural Image Pairs, Wei Yi, Shang Liu, Jiahe Qiu, Guijuan Zhang, Dengming Zhu, Yanfei Shen 2019 1. School of Mathematics and Computer, Wuyi University, Wuyishan 354300, China; ;

Co-Matting Of Natural Image Pairs, Wei Yi, Shang Liu, Jiahe Qiu, Guijuan Zhang, Dengming Zhu, Yanfei Shen

Journal of System Simulation

Abstract: Aiming at dealing with the problem of natural image matting, this study focused on a closed-form solution to image pairs matting. For given two images and their corresponding trimaps, the affinity matrix between the two images is calculated. The matting Laplacian which characters an image to co-matting Laplacian which characters a pair of images is generalized. The alpha mattes of image pairs were obtained by optimizing the energy function which derived from co-matting Laplacian. To validate the approach, the experiments on several datasets are conducted. The results demonstrate that the method can achieve higher quality and is suitable …


Vital Signs Measurement Based On High-Frequency Linear Frequency-Modulated Continuous Wave, Tianrun Wang, Su Zhong, Liu Ning 2019 University of Beijing Information Science & Technology Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China;

Vital Signs Measurement Based On High-Frequency Linear Frequency-Modulated Continuous Wave, Tianrun Wang, Su Zhong, Liu Ning

Journal of System Simulation

Abstract: Aiming at the inherent limitations and inconveniences of the contact and wearable vital signs measurement tools, and low accuracy of the low frequency mmWave, a non-contact vital signs measurement method based on high-frequency frequency-modulated continuous wave (FMCW) is put forward. By mixing the FMCW’s transmitting and receiving waves, the difference frequency signals and its center frequency are obtained. The distance and speed information of the target is derived from the center frequency. By comparing the heart rate test with two hand rings, it is found that the maximum error is 6.7% and the maximum standard deviation is …


Multi-Frame Fusion Method For Point Cloud Of Lidar Based On Imu, Yanguo Zhang, Li Qing 2019 Beijing Information Science Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;

Multi-Frame Fusion Method For Point Cloud Of Lidar Based On Imu, Yanguo Zhang, Li Qing

Journal of System Simulation

Abstract: Aiming at the problem that in the process of using 16-line laser radar to realize environment perception, the point cloud data is sparse, which leads to the difficulty of target detection and tracking, a new method of LiDAR point cloud fusion based on inertial measurement unit (IMU) is proposed. The method establishes a multi-frame LiDAR point cloud data fusion model, which can effectively use historical point cloud data and detection results to obtain more environmental information, and improve the detection accuracy and tracking ability of target objects. 16-line laser radar and the self-developed IMU sensor are used to conduct …


Application Of Improved Zupt In Pedestrian Self-Navigation, Tiansheng Wang, Li Qing 2019 Beijing Information Science and Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;

Application Of Improved Zupt In Pedestrian Self-Navigation, Tiansheng Wang, Li Qing

Journal of System Simulation

Abstract: In view that the currently traditional Zero Velocity Update (ZUPT) can theoretically correct the cumulative error, while the state error variable of 3-dimensional velocity, position and attitude is measured by the model which is established by the observations of 3D velocity error with poor stability and low precision results, an 18-dimensional zero-velocity update algorithm is proposed. The algorithm uses state information of adjacent time to calculate state observations that cannot be directly observed in the zero-velocity state, and then uses the Kalman filter to optimally estimate all state errors. To verify the accuracy of the improved ZUPT, the experiments …


Fault Diagnosis Of Rolling Bearing Based On Improved Extreme Learning Machine, Tiantian Wang, Wang Yan, Zhicheng Ji 2019 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;

Fault Diagnosis Of Rolling Bearing Based On Improved Extreme Learning Machine, Tiantian Wang, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: According to the parameter-dependent characteristics of the wavelet kernel extreme learning machine, which make the effect of the rolling bearing fault classifier model poor, a fault classification method based on improved grey wolf optimizer algorithm for optimizing wavelet kernel extreme learning machine was proposed. The method combined the variational mode decomposition and singular value decomposition to extract fault signal characteristics. The opposition-based-learning and the levy flight strategy were introduced to improve the grey wolf optimizer algorithm, which enriched the population diversity of the grey wolf optimizer algorithm, improved the convergence speed of the algorithm and the ability to get …


Simulation Study Of Ev Sharing Service In Huadu District, Guangzhou, Tingting Li, Jianping Wu 2019 Department of civil engineering, Tsinghua University, Beijing 100084, China;

Simulation Study Of Ev Sharing Service In Huadu District, Guangzhou, Tingting Li, Jianping Wu

Journal of System Simulation

Abstract: Electric vehicle (EV) sharing service plays an important role in the construction of the intelligent city, which can reduce the traffic emissions and cut down the ownership of private cars. In order to explore the traffic and environment effectiveness of the car sharing service, this paper builds a microscopic simulation model of EV sharing service. Based on the survey data, a simulation model containing 51 intersections and 107 roads is conducted. Considering 5 different traffic scenes, the paper evaluates the service from various viewpoints. The results demonstrate that there is no distinct influence on the traffic efficiency. However, …


Simulation Of Wind Power Prediction Based On Improved Elm, Wang Hao, Wang Yan, Zhicheng Ji 2019 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;

Simulation Of Wind Power Prediction Based On Improved Elm, Wang Hao, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To predict the range of ultra-short-term wind power fluctuation effectively, a combined forecasting model based on fuzzy information granulation (FIG) and genetic algorithm optimization extreme learning machine (GA-ELM) is proposed. The parameters of wind power are granulated by fuzzy information, and the corresponding valid information including the maximal value, the minimum value, and the general average value in time series window is further extracted. By integrating the effective components of each parameter as training samples, the GA-ELM-based prediction model is established. The range of wind power fluctuation in next time series is forecasted through using the optimized model. The …


Adaptive Backstepping Sliding Mode Control For Straight Line Track Of Unmanned Transport Ship, Mingcong Li, Guo Chen, Yuan Yi 2019 1. School of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China;

Adaptive Backstepping Sliding Mode Control For Straight Line Track Of Unmanned Transport Ship, Mingcong Li, Guo Chen, Yuan Yi

Journal of System Simulation

Abstract: With the development of unmanned ship technology, the intelligent control of ships is gradually used on large unmanned transport ships. In the course of navigation, ships are often disturbed by various nonlinear factors. Based on Norbbin nonlinear ship motion model, and adopting Lyapunov stability theorem to guarantee the stability of the closed-loop control system, a new sliding mode control method is proposed. Combined with backstepping, a backstepping sliding mode control method is designed to control the line track of ship on condition that the bound of disturbance is known. If the bound of disturbance is unknown, an adaptive …


Target Tracking Simulation For Unmarked Augmented Reality System Based On Kcf, Zhili Zhang, Wang Chao, Long Yong, Shaodi Wang 2019 1. Missile Engineering Academy of Rocket Force Engineering University , Xi'an 710038, China; ;

Target Tracking Simulation For Unmarked Augmented Reality System Based On Kcf, Zhili Zhang, Wang Chao, Long Yong, Shaodi Wang

Journal of System Simulation

Abstract: An AR system based on the kernelized correlation filter (KCF) target tracking is designed for solving the problem of the insufficiency of tracking in the unmarked augmented reality (AR). The KCF is used to identify and track the targets. The relevant parameters of the camera position are imported. The openGL graphical program interface is called to load the precast object onto the target. The KCF simulation experiment is carried out to track the target with visual studio. The results show that the AR application system based on KCF method can effectively improve the real-time performance of target tracking, and …


Forward Algorithm Of Lwd Azimuthal Gamma, Qifeng Sun, Youxiang Duan, Yanan Yan, Hongqiang Li 2019 1.College of Computer & Communication Engineering, China University of Petroleum, Qingdao 266580, China; ;

Forward Algorithm Of Lwd Azimuthal Gamma, Qifeng Sun, Youxiang Duan, Yanan Yan, Hongqiang Li

Journal of System Simulation

Abstract: The study of the LWD (Logging While Drilling) azimuthal gamma imaging mode under different geological structures can provide bases for fast and accurate identification of drilled formation. The detection model of LWD azimuthal gamma is set up, and physical models of several positions of the formation and gamma detector is established, combining the descartes coordinate with the spherical coordinate, an azimuthal gamma log response algorithm under different position models is derived. Comparing the simulated results with the measured results of the azimuthal gamma ray logging tool, it is proved that the algorithm can effectively simulate the response characteristics of …


Reviews Of Project Organization Simulation Modeling Method Based On Computational Organization Theory, Jiwei Zhu, Li’nan Zhou, Zhai Zhao 2019 1. Xi'an University of Technology, Xi'an 710048, China; ;

Reviews Of Project Organization Simulation Modeling Method Based On Computational Organization Theory, Jiwei Zhu, Li’Nan Zhou, Zhai Zhao

Journal of System Simulation

Abstract: Modeling simulation on project organization combines qualitative individual behavior, organizational behavior and task process, which effectively solves the backlog of tasks, rework and other issues caused by the organizational complexity. The modeling method based on the computational organization theory is divided into organization simulation modeling based on system dynamics, organization simulation modeling based on Agent and organization social network modeling based on SNA. The system dynamics simulates the business process from the perspective of macro organization system. The Agent organization model is able to emerge macro behaviors of organization though simulation of micro behaviors. The SNA method focuses on …


Research On Interaction Model Of Hand Tracking Based On Cognitive Theory, Shaobai Zhang, Zhang Teng 2019 Computer Department, Nanjing University of Posts and Telecommunications, Nanjing 210046, China;

Research On Interaction Model Of Hand Tracking Based On Cognitive Theory, Shaobai Zhang, Zhang Teng

Journal of System Simulation

Abstract: This paper aims to solve the problems in a vector integration to endpoint (VITE) model of human reaching and grasping under perturbations of object size, distance and orientation. We discuss how to reduce the numbers of disturbances of three main kinds of components: hand/wrist transport, grip aperture and hand orientation. Based on the achievements of cognitive psychology, and a tracking and cognitive model for operational 3D gestures, this paper proposes a new divide-and-conquer model that is used for indicating current grasping status and to trigger three main kinds of methods of when to start or stop working. The model …


Research Of 3d Urban Modeling Based On 2d Digital Maps, Jinlian Du, Xu Shuo, Fengchao Zhao 2019 Computer Science College of Beijing University of Technology, Beijing 100124, China;

Research Of 3d Urban Modeling Based On 2d Digital Maps, Jinlian Du, Xu Shuo, Fengchao Zhao

Journal of System Simulation

Abstract: In order to reduce the cost of 3D urban modeling, an automatic modeling method for large-scale urban scene based on 2D digital maps is proposed. In this method, ground features are classified firstly according to the characteristic that different features in 2D digital map have different color, then an extraction algorithm is designed to obtain the ground feature’s boundary, and at the same time, a simplified algorithm based on distance measurement is designed for generating the boundary’s key points of ground features which construct the geometry information of the ground features in 2D digital maps. Finally, the generating rule …


Lateral Force Measurement And Processing Of Planar Air-Bearing System For Microgravity Simulation, Xinfeng Li, Xiang Dong, Xinghua Tian, Wei Wei 2019 1. Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China; ;

Lateral Force Measurement And Processing Of Planar Air-Bearing System For Microgravity Simulation, Xinfeng Li, Xiang Dong, Xinghua Tian, Wei Wei

Journal of System Simulation

Abstract: An approach of direct force measurement is proposed to estimate the lateral force of a planar air cushion system. Lateral force gauges are arranged around the planar air bearing platform with preloading force exerted before afloat. Lateral force and its torque with respect to the geometric center can be obtained from the gauge variations while the afloat system reaches balance. Friction coefficient in every touch-spot can be evaluated with least square state estimation, which changes to a generic minimum problem with constraints since its solution matrix has a rank deficit. The analysis based on the test of a specified …


Apt-Oriented Dynamic Assessment Of Attack Behaviors, Jindong Wang, Haopu Yang, Hengwei Zhang, Li Tao 2019 Information Engineering University, Zhengzhou 450001, China;

Apt-Oriented Dynamic Assessment Of Attack Behaviors, Jindong Wang, Haopu Yang, Hengwei Zhang, Li Tao

Journal of System Simulation

Abstract: The existing attack assessment methods cannot effectively deal with the long-term concealment in APT attack. Aiming at the accurate assessment of attack behaviors in APT attack, the APT-oriented dynamic assessment of attack behaviors which focuses on both the space dimension and the time dimension is proposed. The attack behaviors are correlated in the causality-diversion among the whole network system to discover the attack paths. The attack paths are modified in the time-diversion to get the dynamic causal attack traces. The attack traces are quantified based on CVSS standard. The experimental result shows that the proposed method can correctly …


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