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Flower Pollination Algorithm For Multi-Objective Fuzzy Flexible Job Shop Scheduling, Wenhao Xu, Wang Yan, Dahu Yan, Zhicheng Ji 2019 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;

Flower Pollination Algorithm For Multi-Objective Fuzzy Flexible Job Shop Scheduling, Wenhao Xu, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the uncertainty of parameters during flexible industrial process in the manufacturing workshops, a model of multi-objective fuzzy flexible job shop scheduling is established. To solve this model, the processing time, processing cost and material cost are described by triangular fuzzy numbers to minimize the makespan and production cost. An adaptive discrete flower pollination algorithm (ADMOFPA) is proposed. A discrete operator is utilized in the algorithm to discretize the solutions at the initialization period. To enhance the global exploration and local exploitation ability of ADMOFPA, an adaptive mutation operator is adopted. By simulating the instance of one …


Micro Modeling And Simulation Of Bi-Directional Pedestrian Flows Crossing Bottleneck, Li Yue, Renyong Guo, Chen Liang, Jingdong Li 2019 1. College of Computer Science, Inner Mongolia University, Hohhot 010021, China; ;

Micro Modeling And Simulation Of Bi-Directional Pedestrian Flows Crossing Bottleneck, Li Yue, Renyong Guo, Chen Liang, Jingdong Li

Journal of System Simulation

Abstract: An improved bi-directional pedestrian model based on reciprocal velocity obstacles (RVO) is proposed to investigate self-organization phenomena for bi-directional pedestrian flows crossing bottlenecks, and the influencing factors of pedestrian flow are analyzed. According to the RVO model problem, an improved method is constructed. The model of bi-directional pedestrian flows crossing bottleneck in subways based on Unity 3D is established. Based on this improved model, the bi-directional pedestrian flows crossing bottleneck in subways is simulated. Simulation results indicate that the model can veritably simulate self-organization phenomena for bi-directional pedestrian flows crossing bottlenecks in subways and pedestrians flow is an increasing …


Variable Sampling Period Scheduling Algorithm Based On Grey Neural Networks With Resource-Constrained System, Weiguo Shi, Wang Li, Shao Cheng 2019 1. College of Electrical and Information, Dalian Jiaotong University, Dalian 116028, China; ;

Variable Sampling Period Scheduling Algorithm Based On Grey Neural Networks With Resource-Constrained System, Weiguo Shi, Wang Li, Shao Cheng

Journal of System Simulation

Abstract: Considering networked control system of the limited resources, a kind of variable sampling period scheduling algorithm based on grey-RBF-neural-network prediction network bandwidth is proposed. According to the history and current network bandwidth values of monitoring period, the original time series of different lengths are built, and the grey prediction method is used to get different grey prediction data; the grey prediction data as the input of the RBF neural network are used to realize secondary prediction for network bandwidth, which ensures that prediction data can reflect the actual situation of the network; the absolute error integral parameter is used …


Decision-Making Simulation Of Farmers’ Safe Production Behavior, Cui Li, Liping Luo 2019 Business School, Beijing Technology and Business University, Beijing 100048, China;

Decision-Making Simulation Of Farmers’ Safe Production Behavior, Cui Li, Liping Luo

Journal of System Simulation

Abstract: Farmers' production behavior is the source of quality and safety of agricultural products,and the primary task to control the quality and safety of agricultural products is to research the factors affecting farmers’ behavior for safe production. We explored the factors influencing farmers’ decision-making for safe production behavior based on the theory of planned behavior and established the model of farmers' decision-making for safe production behavior based on cost-benefit theory. The model which was simulated and analyzed revealed the specific impact on farmers' safe production behavior decision from every influence factor in the quantitative point of view. Results …


Real-Time Pricing Strategy Considering The Risk Of Smart Grid, Hongbo Zhu, Gao Yan, Yeming Dai 2019 1. School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China; ;2.Faculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai’an 223003, China; ;

Real-Time Pricing Strategy Considering The Risk Of Smart Grid, Hongbo Zhu, Gao Yan, Yeming Dai

Journal of System Simulation

Abstract: The real-time electricity price mechanism is an ideal method to adjust the power balance between supply and demand in smart grid. Its implementation has profound impacts on the users' behavior and the operation and management of electricity power grid’s safety. The users’ demand behavior plays a regulatory role in designing real-time electricity pricing strategy. Aiming at maximizing social welfare, the dynamic change of users’ aggregate demand is analyzed, which corrects the electricity risk items in online real-time risk model in the way of changing the individual user’s power fluctuations to all the users’ demand power fluctuations, and the optimization …


Vibration Performance Prediction And Reliability Analysis For Bearings, Xintao Xia, Chang Zhen, Yunfei Li 2019 Mechatronical Engineering College, Henan University of Science and Technology, Luoyang 471003, China;

Vibration Performance Prediction And Reliability Analysis For Bearings, Xintao Xia, Chang Zhen, Yunfei Li

Journal of System Simulation

Abstract: The bearing vibration signal contains a large amount of information involved in degradation of spindle system. The adding-weight one-rank local-region method is used to predict the vibration time series for bearing, and the forecasting error can be obtained by comparing and analyzing the prediction values with the actual values so as to verify the feasibility of the model. The prediction results of the future state for the bearing are processed by grey bootstrap method, and the vibration thresholds are given by the requirements of the spindle system on the bearing vibration performance. The performance reliability prediction of the bearing …


Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu 2019 School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;

Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu

Journal of System Simulation

Abstract: This paper studies the formation mechanism of cutting force of SiCp / Al composite based on the processing parameters from the turning experiment, and explains the effect of cutting parameters on the cutting force of SiCp/Al composite such as cutting speed and cutting depth. To further investigate the influence of cutting parameters on cutting force, this paper conducts cutting force simulation of SiCp/Al composite based on ABAQUS, and verifies the accuracy and feasibility of the simulation by comparing with turning experimental results. The S/N ratio and variance of cutting force are analyzed using Taguchi methods. The results show that …


Public Opinion Evolution And Intervention From Perspective Of Public’S Social Responsibility, Qinghua Song, Jianhong Chen 2019 School of Resources and Safety Engineering, Central South University, Changsha 410083, China;

Public Opinion Evolution And Intervention From Perspective Of Public’S Social Responsibility, Qinghua Song, Jianhong Chen

Journal of System Simulation

Abstract: According to the theory of planned behavior and stages of information spreading behavior, public opinion evolution mechanisms are analyzed from the perspective of public’s social responsibility (SR). Stability of public opinion evolution system is influenced by four kinds of information spreading bodies. Corresponding information spreading paths interact each other while they are relatively independent, which makes stability of the four paths show complexity features. Publishing positive information timely, decreasing population proportion of group ignoring SR and decreasing population proportion of group lack of SR are effective measures of reducing intensity of public opinion evolution and severity of public opinion …


Modeling For Security Protection Capability Of Information System Based On Cpn, Qiangjun Chen, Mingqing Zhang, Hongshan Kong, Xiaohu Liu, Lianjie Shao 2019 1. PLA Information Engineering University, Zhengzhou 450001, China; ;

Modeling For Security Protection Capability Of Information System Based On Cpn, Qiangjun Chen, Mingqing Zhang, Hongshan Kong, Xiaohu Liu, Lianjie Shao

Journal of System Simulation

Abstract: Modeling plays an important role in assessment for security protection capability. Oriented to the features that evaluation has many methods which update quickly, the analysis frame is proposed based on detect, analyse and respond. Aimed at the problems that it is difficult to model the intelligent learning and coordination process for protective device, analysis model is built based on CPN. The colors of message color sets represent the different properties of events. Detect, analysis and respond components which represent different process of security protection capability are defined. Two theorems are proved, and model complexity is analyzed. The usability …


Research On Performance Validation Of Aircraft Based On Air-Table, Haolong Zhang, Liao Xin, Bin Li, Wenshu Wei, Pei Yin, Junpeng Hui 2019 R&D Center, China Academy of Launch Vehicle Technology, Beijing 100076, China;

Research On Performance Validation Of Aircraft Based On Air-Table, Haolong Zhang, Liao Xin, Bin Li, Wenshu Wei, Pei Yin, Junpeng Hui

Journal of System Simulation

Abstract: Aiming at the main issues in performance validation of aircraft, this paper applied air-bearing test technology into the area of performance validation of aircraft, designed and established performance validation system of aircraft based on air-bearing. A kind of theory of space scale model was proposed and the mapping relation between air-bearing space and real space was solved. This research provided a new technical approach for performance validation of aircraft. This system has been successfully applied to a kind of aircraft simulation. The Effectiveness and accuracy are verified.


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 …


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 …


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 …


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 …


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 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 …


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 …


Optimizing Initial Cluster Centroids By Svd In K-Means Algorithm For Chinese Text Clustering, Yueming Dai, Minghui Wang, Zhang Ming, Wang Yan 2019 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Optimizing Initial Cluster Centroids By Svd In K-Means Algorithm For Chinese Text Clustering, Yueming Dai, Minghui Wang, Zhang Ming, Wang Yan

Journal of System Simulation

Abstract: In process of clustering with traditional K-means algorithm, it is difficult to identify the value of the number of clusters K and its clustering results are influenced by initial centers. It has the weakness of sensitivity to noise and instability. Meanwhile, to solve the problems for the high dimensions, sparse spatial and latent semantic structure of the text data, an algorithm for Chinese text clustering was proposed. This new algorithm uses the physical significance of Singular Value Decomposition (SVD) to firstly classify the data rough, and then uses K-means for text clustering. It applies SVD to decompose and keep …


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