2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)最新文献_第6页

Debris flow prediction research based on two-dimension Bayesian classifier 基于二维贝叶斯分类器的泥石流预测研究

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428665

Zhang Jianwei, Lei Lin, Y. Yuting, Zhao Yongxin, Chen Eryang

引用次数: 1

A cost-effective approach for feeder fault detection and location of radial distribution networks 一种经济有效的径向配电网馈线故障检测与定位方法

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428636

Rui Li, Chun-xiang Li, Yi-dan Su

引用次数: 4

A novel search algorithm for critical nodes of highway electromechanical maintenance system 一种新的公路机电养护系统关键节点搜索算法

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428676

Yuan Li, Zhang Zhi

{"title":"A novel search algorithm for critical nodes of highway electromechanical maintenance system","authors":"Yuan Li, Zhang Zhi","doi":"10.1109/IAEAC.2015.7428676","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428676","url":null,"abstract":"The highway electromechanical system is an important support to ensure normal operation of the highway. Currently, the cyclical and integral maintenance strategy was mainly adopted. In order to improve the equipment utilization and economic performance, a key equipment search algorithm based on complex network structure is presented in this paper, which gives a new way with differentiation for highway electromechanical maintenance. Based on the topological structure of mechanical and electrical system, the centrality, closeness centrality and distance centrality is combined as effective indicators of critical nodes. Moreover, in order to measure the topology of network and importance of neighboring nodes, mutual information of nodes in networks is calculated via the Markov chain interaction algorithm. By analysis on this project, different conditions lead to little difference of the research result, but acquire the same effect for critical nodes analysis. This paper proposes a new method to search the critical nodes in electromechanical system from the perspective of complex network, which provides a new theoretical basis for the reasonable design of highway electromechanical maintenance.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123985672","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

A boost converter with a 2.5μA voltage detector designed for energy-harvesting duty-cycle wireless sensor node 一种带2.5μA电压检测器的升压变换器，设计用于能量收集占空比无线传感器节点

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428558

Shuai Liu, Lei Zeng, Guoxing Wang

引用次数: 1

Adaptive digital predistortion implemented by FPGA and soft microprocessor core 采用FPGA和软微处理器内核实现自适应数字预失真

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428649

Qi Wang, Di He

引用次数: 2

The research of coverage algorithm for three-dimensional WSN based on MO-DMS-PSO 基于MO-DMS-PSO的三维无线传感器网络覆盖算法研究

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428666

D. Feng, Jianfeng Lu

{"title":"The research of coverage algorithm for three-dimensional WSN based on MO-DMS-PSO","authors":"D. Feng, Jianfeng Lu","doi":"10.1109/IAEAC.2015.7428666","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428666","url":null,"abstract":"Coverage problem is one of the basic problems for Wireless Sensor Networks, which can influence the quality of service of WSN(Wireless Sensor Network). In the research of the coverage problem for Wireless Sensor Networks, we should not only ensure the coverage rate of network, but also think about the other issues, such as energy consumption and connectivity, in this way can the deploying policy which we get conforms to the actual application. In this paper, on the basis of previous studies, this paper set forward a coverage algorithm For three-dimensional WSN based on Multi-Objecs Dynamic Multi-Swarms Particle Swarm Optimization, which takes the coverage rate, energy consumption, connectivity as the targets for multi-objects optimization. And though the simulation, we can get graphs for that the coverage rate, energy consumption and connectivity change with the number of iteration. By comparing with the graph of the ordinary multi-objective Particle Swarm Optimization, we can know that Multi-Objective Dynamic Multi-Swarm Particle Swarm Optimization can effectively avoid the shortcoming of standard PSO. And it can optimize performance of three objects.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129256632","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: 5

Design of a Ka-band monolithic low noise amplifier ka波段单片低噪声放大器的设计

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428541

Haodong Lin, Weichuan Zhang, Jun Dong, H. Peng, Yu Liu, Ziqiang Yang, Tao Yang

引用次数: 0

ISAR autofocus based on image entropy optimization algorithm 基于图像熵优化算法的ISAR自动对焦

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428735

Q. Wen, Niu Wei, Du Kai, Wang Xiang-dong, Yang Yong-an, Du Wei-bing

引用次数: 1

A practical approach for acoustic sensor network design based on performance analysis of TDOA localization method 基于TDOA定位方法性能分析的声传感器网络设计实用方法

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428537

Yan Qing-li, Chen Jianfeng

引用次数: 2

Speed profile optimization for train operation based on ant colony algorithm 基于蚁群算法的列车运行速度剖面优化

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI: 10.1109/IAEAC.2015.7428516

Li-Qian Fan, F. Cao, B. Ke, T. Tang

{"title":"Speed profile optimization for train operation based on ant colony algorithm","authors":"Li-Qian Fan, F. Cao, B. Ke, T. Tang","doi":"10.1109/IAEAC.2015.7428516","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428516","url":null,"abstract":"Automatic train operation (ATO) system generally consists of the generation of recommended speed profile and the speed tracking strategy. It determines the tracked trajectory and the energy consumption of trains during the trip. Therefore, the optimization of recommended speed profile and the tracking strategy are regarded as two important means to achieve energy-efficient train operation between the successive stations. With considering the ATO tracking strategy, an optimization method of the recommended speed profile is proposed in this paper. Base on the approximate calculation, a discrete combination optimization model is formulated and a new MAX-MIN ant system (MMAS) is taken as the core algorithm. With the fixed speed tracking strategy, this method achieves the recommended speed profile with optimized energy consumption and a perfect running punctuality along the actual tracked trajectory. The switching times of operation during the cruising phase is reduced by integrating the drivers' experience, which also reduces the energy consumption of train running between stations. The case results based on Beijing Yizhuang Metro Line in China verify the effectiveness of the proposed method, which has a good performance on energy-efficient train operation.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122437115","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: 10