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2013 IEEE INISTA最新文献

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A new ECG arrhythmia clustering method based on Modified Artificial Bee Colony algorithm, comparison with GA and PSO classifiers 一种新的基于改进人工蜂群算法的心电心律失常聚类方法，并与遗传算法和粒子群算法的比较
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577616
Selim Dilmac, M. Korurek
{"title":"A new ECG arrhythmia clustering method based on Modified Artificial Bee Colony algorithm, comparison with GA and PSO classifiers","authors":"Selim Dilmac, M. Korurek","doi":"10.1109/INISTA.2013.6577616","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577616","url":null,"abstract":"In order to diagnose the arrhythmias in electrocardiographic signals automatically, new methods for automated ECG analysis and heart beat type classification are being developed. In this paper, we proposed a new method Modified Artificial Bee Colony (MABC) algorithm for data clustering and it is applied to ECG signal analysis for arrhythmia classification. This new developed classifier based on MABC algorithm is called MABCC. The results of MABCC are compared with two other classifier's (Genetic Algorithm and Particle Swarm Optimization based) success rate results. ECG data is obtained from MITBIH database. In this study, a detailed analysis has been done on time domain features. When ECG signals are analyzed, choosing distinctive features has important effect to get a high classification success rate. By using the right features in MABC algorithm, high system classification success rate (98.73%) is achieved by MABC Classifier, similar to GA (98.59%) and PSO (99.24%). MABC has also high sensitivity for all beat types. Other methods have lower or poor classification success rates for some beat types.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"47 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":"115403632","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: 17
Priority-based task allocation in auction-based applications 基于拍卖的应用程序中基于优先级的任务分配
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577654
U. Gurel, N. Adar, O. Parlaktuna
{"title":"Priority-based task allocation in auction-based applications","authors":"U. Gurel, N. Adar, O. Parlaktuna","doi":"10.1109/INISTA.2013.6577654","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577654","url":null,"abstract":"One of the main subjects that are heavily studied in multi-robot domain is task allocation according to selected constraints and construct paths using these allocated tasks. In this paper a market-based task allocation method is proposed to allocate tasks according to their priorities and create paths for a mobile group in a known indoor environment. Proposed methodology is applied to an example with four mobile robots on a map that has twenty nodes. In order to solve tour construction with priority problem, Nearest Neighbor heuristic approach is modified and used. In the study agents communicate with each other through an Open Agent Architecture (OAA). Also simulations on MobileSim simulator program are conducted to show the effectiveness of the proposed method.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"5 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":"115825281","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: 6
A LabVIEW based submarine depth control simulator with PID and fuzzy controller 基于LabVIEW的水下深度控制模拟器，采用PID和模糊控制器
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577627
M. Ekici, Hakan Kahveci, A. Akpinar
{"title":"A LabVIEW based submarine depth control simulator with PID and fuzzy controller","authors":"M. Ekici, Hakan Kahveci, A. Akpinar","doi":"10.1109/INISTA.2013.6577627","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577627","url":null,"abstract":"LabVIEW is one of the popular simulation program in the academic and industrial applications. In this paper, online simulator for the depth control of a submarine has presented. In order to keep the submarine at a certain level below the sea surface, a fuzzy logic controller (FLC) as a major control unit was designed and employed with LabVIEW Control Design and Simulation Toolkit. Also comparison between fuzzy logic (FL) and PID controlled system was presented. Simulation results show that system has better settling time and no overshoots with FLC.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"12 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":"125550611","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
Error analysis of rectangular waveguide probe with finite flange for nondestructive EM-properties and thickness measurement 有限法兰矩形波导探头无损电磁特性及厚度测量误差分析
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577662
Abdulkadhum A. Hasan
{"title":"Error analysis of rectangular waveguide probe with finite flange for nondestructive EM-properties and thickness measurement","authors":"Abdulkadhum A. Hasan","doi":"10.1109/INISTA.2013.6577662","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577662","url":null,"abstract":"In this work, open-ended waveguide probe is studied using Finite Difference Time-Domain (FDTD) technique to investigate the influence of ground-plane size on the input reflection coefficient of the probe. Variations in the ground-plane size for different materials and frequencies are simulated. In comparison with the analytical model results, it is found that using of waveguide probe with finite flange affects the input reflection coefficient substantially in some cases. Simulation results have shown that the consideration of ground-plane is large enough for the practical purpose to be infinite is restricted by the constitutive parameters and thickness of the material under test as well as the operating frequency. The FDTD simulations and experiments results are presented.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"36 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":"124764257","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
Classification of EEG signals by using support vector machines 基于支持向量机的脑电信号分类
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577636
K. Bayram, M. A. Kizrak, B. Bolat
{"title":"Classification of EEG signals by using support vector machines","authors":"K. Bayram, M. A. Kizrak, B. Bolat","doi":"10.1109/INISTA.2013.6577636","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577636","url":null,"abstract":"In this work, EEG signals were classified by support vector machines to detect whether a subject's planning to perform a task or not. Various different kernels were utilized to find the best kernel function and after that, a feature selection process was realized. The results are comparable to the recent works.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"113 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":"114501545","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: 19
Pedestrian detection with an improved Adaboost 改进Adaboost的行人检测
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577626
Y. E. Tetik, B. Bolat
{"title":"Pedestrian detection with an improved Adaboost","authors":"Y. E. Tetik, B. Bolat","doi":"10.1109/INISTA.2013.6577626","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577626","url":null,"abstract":"This paper focuses on improving the performance of Adaboost (Adaptive Boosting) by using weak classifiers that make classification with a confidence score. Single thresholds and nearest neighbor classifiers are used as base classifiers. The proposed method is applied to the problem of pedestrian detection in still images. Haar-like basic features are used to construct weak classifiers.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"70 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":"124042791","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
Why Dempster's rule doesn't behave as Bayes rule with informative priors 为什么登普斯特规则不像贝叶斯规则一样具有信息先验
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.5281/ZENODO.22447
J. Dezert, A. Tchamova, Deqiang Han, J. Tacnet
{"title":"Why Dempster's rule doesn't behave as Bayes rule with informative priors","authors":"J. Dezert, A. Tchamova, Deqiang Han, J. Tacnet","doi":"10.5281/ZENODO.22447","DOIUrl":"https://doi.org/10.5281/ZENODO.22447","url":null,"abstract":"In this paper, we analyze Bayes fusion rule in details from a fusion standpoint, as well as the emblematic Dempster's rule of combination introduced by Shafer in his Mathematical Theory of evidence based on belief functions. We propose a new interesting formulation of Bayes rule and point out some of its properties. A deep analysis of the compatibility of Dempster's fusion rule with Bayes fusion rule is done. Our analysis proves clearly that Dempster's rule of combination does not behave as Bayes fusion rule in general, because these methods deal very differently with the prior information when it is really informative (not uniform). Only in the very particular case where the basic belief assignments to combine are Bayesian and when the prior information is uniform (or vacuous), Dempster's rule remains consistent with Bayes fusion rule. In more general cases, Dempster's rule is incompatible with Bayes rule and it is not a generalization of Bayes fusion rule.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"8 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":"114932432","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: 7
Optimal robust decoupled sliding mode control based on a Multi-objective Genetic Algorithm 基于多目标遗传算法的最优鲁棒解耦滑模控制
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577641
M. A. Sahnehsaraei, M. Mahmoodabadi, M. Taherkhorsandi
{"title":"Optimal robust decoupled sliding mode control based on a Multi-objective Genetic Algorithm","authors":"M. A. Sahnehsaraei, M. Mahmoodabadi, M. Taherkhorsandi","doi":"10.1109/INISTA.2013.6577641","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577641","url":null,"abstract":"Optimal design of the decoupled sliding mode control (SMC) is a great and worthwhile challenge by regarding appropriate design parameters and objective function. In the present study, Genetic Algorithm (GA) is employed as an effectual smart evolutionary algorithm to design optimally the control coefficients of an Inverted Pendulum (IP) and to eliminate tedious and repetitive trial-and-error process. When decoupled SMC is used to address the problem, there has to be a trade-off between the error of the position and the error of the angle. Hence, a Multi-objective Genetic algorithm is used to design optimally the Pareto front of the problem by regarding the errors as objective functions. Moreover, simulation has been done by considering the case with external disturbance and without external disturbance. Then, the results implemented in the MATLAB software environment are contrasted with the experimental results. Numerical results and comparison analysis elucidates the superiority of the optimal robust proposed controller over the traditional decoupled sliding mode controller in terms of attenuating the chattering and actuator variations.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"65 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":"115024341","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: 9
Working regimes classification for predictive maintenance of mill fan systems 轧机风机系统预见性维护的工作状态分类
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577632
P. Koprinkova-Hristova, L. Doukovska, Peter Kostov
{"title":"Working regimes classification for predictive maintenance of mill fan systems","authors":"P. Koprinkova-Hristova, L. Doukovska, Peter Kostov","doi":"10.1109/INISTA.2013.6577632","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577632","url":null,"abstract":"In the present paper, the subject of analysis is a device from Maritsa East 2 thermal power plant - a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula. Mill fans are main part of the fuel preparation in the coal fired power plants. The possibility to predict eventual damages or wear out without switching off the device is significant for providing faultless and reliable work of the equipment avoiding incidents. Standard statistical and probabilistic (Bayesian) approaches for diagnostics are inapplicable to estimate mill fan vibration state due to non-stationarity, non-ergodicity and the significant noise level of the monitored vibrations. Promising results are obtained only using computational intelligence methods (fuzzy logic, neural and neuro-fuzzy networks). In the present paper, two neuro-fuzzy approaches are applied for classification of a mill fan system working regimes based on analysis of data available from its control system.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"3 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":"127613208","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
Direct model reference adaptive tracking control of wheeled mobile robot 轮式移动机器人直接模型参考自适应跟踪控制
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577653
E. Canigur
{"title":"Direct model reference adaptive tracking control of wheeled mobile robot","authors":"E. Canigur","doi":"10.1109/INISTA.2013.6577653","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577653","url":null,"abstract":"This paper presents a model reference adaptive control (MRAC) scheme for trajectory tracking of a nonholonomic wheeled mobile robot (WMR) in presence of parametric uncertainty in its dynamic model. The integration of a kinematic controller and a dynamic controller for the dynamic model of a nonholonomic mobile robot has been presented. First, feedback velocity control inputs are designed for the kinematic steering system to make the position error asymtotically stable. Second, a feedback velocity-following control law is designed such that the mobile robot's velocities converge asymtotically to the given velocity inputs. The adaptive controller designed based on the dynamic model provides the voltages of the robot actuators for yielding the required velocities. This means point stabilization. Simulations also demonstrate the good performance of the proposed control scheme under the presence of the dynamic parameter uncertainties.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"73 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":"132446946","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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