2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE)最新文献_第2页

Bandwidth Analysis and Research of Automotive Video Transmission Module 汽车视频传输模块带宽分析与研究

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/ICCSSE50399.2020.9171936

Geng Yi, Guo Jianzhong, Chen Dian

{"title":"Bandwidth Analysis and Research of Automotive Video Transmission Module","authors":"Geng Yi, Guo Jianzhong, Chen Dian","doi":"10.1109/ICCSSE50399.2020.9171936","DOIUrl":"https://doi.org/10.1109/ICCSSE50399.2020.9171936","url":null,"abstract":"With the rise of the driverless car technology and the popularity of ADAS, traditional CAN transmission network have been unable to meet the increasing demand, the on-board network transmission technology is the development trend of the high bandwidth, as the onboard Ethernet industrial chain mature, onboard Ethernet began to be used, but the onboard Ethernet technology is expensive, price is low. To help solve the problem, Chen Dian in vehicle-mounted LCD instrument sliding transmission system optimization and analysis of the feasibility of sliding technology in the data analysis [1], the scheme of the present study, scholars rarely sliding (Network Control Model) transmission technology, through to the virtualization of sliding devices into front-end ports, used for big data transmitted between device and host [2–3], proves that the sliding CAN be used to replace the onboard Ethernet data transmission, CAN be in a certain environment instead of the CAN Network for high bandwidth transmission, but its only studied the sliding work environment, The transmission between NCM and on-board Ethernet is not analyzed, so it is necessary to study it.","PeriodicalId":400708,"journal":{"name":"2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131611922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ICCSSE 2020 Preface ICCSSE 2020序言

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/iccsse50399.2020.9171945

引用次数: 0

GA-BP Neural Network Based Meta-Model Method for Computational Fluid Dynamic Approximation 基于GA-BP神经网络的计算流体动力学逼近元模型方法

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/ICCSSE50399.2020.9171963

Ling-Xiao Zhao, Xiaoyong Gao, Taofei Chen, W. Yin, Xin Zuo

{"title":"GA-BP Neural Network Based Meta-Model Method for Computational Fluid Dynamic Approximation","authors":"Ling-Xiao Zhao, Xiaoyong Gao, Taofei Chen, W. Yin, Xin Zuo","doi":"10.1109/ICCSSE50399.2020.9171963","DOIUrl":"https://doi.org/10.1109/ICCSSE50399.2020.9171963","url":null,"abstract":"The prediction of gas diffusion concentration has practical significance. Because the process simulation is based on complex mechanism, it will not be able to be calculated in real time. Moreover, the requirements of computational fluid dynamics on computers limit its application. This paper proposes the computational fluid dynamics simulation surrogate models based on the GA-BP neural network to predict the concentration after aerosol dispersion. Considering the relevant influence parameters of time, space coordinates and concentration, two different models of input and output variables are constructed. The results reveal that when the prediction object is affected by high-dimensional complex factors, the GA-BP neural network can generate accurate prediction results. Compared with the traditional BP neural network, the prediction accuracies can be improved by 40.65% and 77.61%, respectively, which exhibits excellent performance for data prediction. The method proposed in this paper successfully verifies the computational fluid dynamics simulation of the aerosol dispersion processes, and the research has potential application value for environmental safety assessment.","PeriodicalId":400708,"journal":{"name":"2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116623035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Quality Control on Manufacturing Computer Keyboards Using Multilevel Deep Neural Networks 基于多层深度神经网络的计算机键盘制造质量控制

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/ICCSSE50399.2020.9171988

Xishi Huang, Jing Ren

引用次数: 2

Evaluation and optimization of Traffic Signal Timing Scheme 交通信号配时方案的评价与优化

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/ICCSSE50399.2020.9171978

Xiaobao Ren, Jihui Ma

{"title":"Evaluation and optimization of Traffic Signal Timing Scheme","authors":"Xiaobao Ren, Jihui Ma","doi":"10.1109/ICCSSE50399.2020.9171978","DOIUrl":"https://doi.org/10.1109/ICCSSE50399.2020.9171978","url":null,"abstract":"Intersection is the center of the traffic flow of each road in the city, and it is the reasonable distribution and adjustment of the traffic flow on the road network. The traffic signal control is a basic way to control the intersection. Only reasonable signal control can improve the operating efficiency of the intersection. Taking the intersection of xingan north road in Hohhot city as the research object, the traffic signal timing scheme at the intersection was studied and optimized. First of all, based on the current situation of the highway road actual survey of basic condition and traffic flow characteristics of each intersection and timing plan design research, mainly adopts the manual counting method and video monitoring methods for data collection, queuing up for the status quo and analysis of flow to the flow conditions, and then reasonable cycle length is calculated using Webster method, and make the appropriate phase timing design, finally, the timing plan before and after optimization and queue length of the flow of traffic. The optimization of timing scheme not only improves the utilization rate of the existing roads, but also greatly improves the capacity of the roads, and reduces the number of parking times and queue length of vehicles.","PeriodicalId":400708,"journal":{"name":"2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"11 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114105784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Control Strategy Simulation for Novel 48V Mild Hybrid System Based on Advisor 基于Advisor的新型48V轻度混合动力系统控制策略仿真

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/ICCSSE50399.2020.9171976

Zihao Tan, J. Nan, Lei Zhang, Bo Liu

引用次数: 1

ICCSSE 2020 Copyright Page ICCSSE 2020版权页面

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/iccsse50399.2020.9171955

引用次数: 0

ICCSSE 2020 Title Page ICCSSE 2020标题页

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/iccsse50399.2020.9171943

引用次数: 0

A Regional Multi-objective Linear Programming Model for Initial Post-earthquake and Comparison of Three Meta-heuristic Algorithms 地震初期区域多目标线性规划模型及三种元启发式算法的比较

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/ICCSSE50399.2020.9171983

Jinxing Zhao, Xiaoqing Long

{"title":"A Regional Multi-objective Linear Programming Model for Initial Post-earthquake and Comparison of Three Meta-heuristic Algorithms","authors":"Jinxing Zhao, Xiaoqing Long","doi":"10.1109/ICCSSE50399.2020.9171983","DOIUrl":"https://doi.org/10.1109/ICCSSE50399.2020.9171983","url":null,"abstract":"The earthquake, as one of the most harmful natural disasters to humanity, has been concerned for a long time. Considering some areas with underdeveloped economic and medical standards, it is of great significance to study the regional post-earthquake rescue problem. In the paper, a regional multi-objective linear programming model (MLPM) for the initial post-earthquake stage is designed according to the different degree of road loss, the different demand for materials and the number of the injured due to the difference of population base on each disaster point in the initial postearthquake period, and the method of vehicle deployment. And the model is solved by three introduced meta-heuristic algorithms which are ant colony optimization algorithm (ACOA), particle swarm optimization algorithm (PSOA), and tabu search algorithm (TSA). Through numerical experiments, the feasibility of the three algorithms is verified, and the performances of the three algorithms about the solutions and running time of solving are compared and analyzed. In the paper, the three algorithms are feasible to optimize the model. The solution obtained by the ACOA is optimal, and the TSA has the shortest running time. Under the same number of ants and particles, the PSOA runs faster than the ACOA, but the solution obtained by the ACOA is superior to the PSOA.","PeriodicalId":400708,"journal":{"name":"2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129824995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Cost Function Determination for a WIG in Predefined Path and Height Using Conjugate Gradient Method 用共轭梯度法确定具有预定义路径和高度的WIG的代价函数

2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2020-07-01 DOI: 10.1109/ICCSSE50399.2020.9171961

R. Shabani, Gamze Nalcaci, M. Leblebicioğlu, M. Ermiş

引用次数: 0