2013 IEEE INISTA最新文献

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Fuzzy-neural predictive control using Levenberg-Marquardt optimization approach 基于Levenberg-Marquardt优化方法的模糊神经预测控制
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577624
Y. Todorov, Margarita Terzyiska, Sevil A. Ahmed, M. Petrov
{"title":"Fuzzy-neural predictive control using Levenberg-Marquardt optimization approach","authors":"Y. Todorov, Margarita Terzyiska, Sevil A. Ahmed, M. Petrov","doi":"10.1109/INISTA.2013.6577624","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577624","url":null,"abstract":"It is proposed in this paper a study on the influence of the Levenberg-Marquardt optimization approach for computation of the control actions in Nonlinear Model Predictive Controller. To predict the future plant behavior, a classical Takagi-Sugeno inference is used. A comparison by applying the Gradient descent and the Newton-Raphson optimization approaches is made. The efficiency of the proposed optimization strategies is demonstrated by experiments in MATLAB environment to control a Continuous Stirred Tank Reactor.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132583761","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: 4
A new computer vision approach for active pantograph control 主动受电弓控制的计算机视觉新方法
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577665
I. Aydin, E. Karakose, M. Karakose, M. Gençoglu, E. Akin
{"title":"A new computer vision approach for active pantograph control","authors":"I. Aydin, E. Karakose, M. Karakose, M. Gençoglu, E. Akin","doi":"10.1109/INISTA.2013.6577665","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577665","url":null,"abstract":"Railway vehicles have become a modern transport media day by day. With the development of high-speed trains, this transportation way has been widely used for the transportation of people and cargo. However, several fault type in the pantograph-catenary system affects the performance of the train. Contact between a pantograph and catenary must slide along train movement. A sufficient lifting force should be applied to the contact wire when train moves. Vibrations occurred between a pantograph and catenary system and oscillations of contact wire cause the loss of contact. So, burst of arcing occurs in contact point. In this study, a new computer vision based method is proposed to control the contact force. The proposed algorithm utilizes the edge detection and Hough transform for detection of pantograph height. The obtained height is given to the control algorithm and the height of the pantograph is adjusted. The proposed method is verified by using a video taken from real pantograph and efficient results has been obtained.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134290319","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: 43
White goods brand selection by using Generalized Choquet Integral 基于广义Choquet积分的白色家电品牌选择
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577629
A. Yayla, A. Yıldız
{"title":"White goods brand selection by using Generalized Choquet Integral","authors":"A. Yayla, A. Yıldız","doi":"10.1109/INISTA.2013.6577629","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577629","url":null,"abstract":"White goods brand selection decision have become a multi-criteria decision making problem depending on the variety of customer demands and developments at the white goods technology recently. In this study, the selection of the best among the alternative white goods brand is handled as a Multi Criteria Decision Making (MCDM) problem. Within the scope of this study, alternative three white goods brands (A, B, C) are evaluated. Firstly in the scope of the evaluation, a decision team is created as formed by two persons from three families who confronted with such kind of a choice problem. Common view of the decision team is taken for generating hierarchical decision model to be used in evaluation of alternative white goods brands. The Generalized Choquet Integral (GCI) method, being one of the MCDM methods, is used at solution of the problem. At the end of the study, obtained results and evaluations are included.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130192542","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
Engineering a multi-agent system for peer-to-peer video streaming 为点对点视频流设计一个多代理系统
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577655
Kemal Deniz Teket, Yagiz Kaymak, M. Sayıt, G. Kardas
{"title":"Engineering a multi-agent system for peer-to-peer video streaming","authors":"Kemal Deniz Teket, Yagiz Kaymak, M. Sayıt, G. Kardas","doi":"10.1109/INISTA.2013.6577655","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577655","url":null,"abstract":"Research on the use of software agents in P2P video streaming systems has recently emerged in order to meet the requirements such as time constraints, minimizing delay and efficient utilization of network resources. However parent selection and network awareness are not addressed properly in these leading studies. In order to fill this gap, we introduce the design and implementation of a Multi-agent System (MAS) for P2P video streaming in this paper. The construction of the MAS by applying a well-defined agent-oriented software engineering methodology is discussed. The internal structure of each agent in the proposed MAS is based on the well-known Belief-Desire-Intention (BDI) architecture. Experimental results show that the proposed MAS succeeds the related parent selection and promotes the system execution. BDI-based MAS design given in this paper can guide those researchers who aim to implement autonomous mesh-based P2P video streaming systems.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124385321","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
A data mining method for refining groups in data using dynamic model based clustering 一种基于动态模型聚类的数据挖掘方法
2013 IEEE INISTA Pub Date : 2013-06-01 DOI: 10.1109/INISTA.2013.6577645
Tayfun Servi, H. Erol
{"title":"A data mining method for refining groups in data using dynamic model based clustering","authors":"Tayfun Servi, H. Erol","doi":"10.1109/INISTA.2013.6577645","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577645","url":null,"abstract":"A new data mining method is proposed for determining the number and structure of clusters, and refining groups in multivariate heterogeneous data set including groups, partly and completely overlapped group structures by using dynamic model based clustering. It is called dynamic model based clustering since the structure of model changes at each stage of refinement process dynamically. The proposed data mining method works without data reduction for high dimensional data in which some of variables including completely overlapped situations.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121253720","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: 3
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