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Proceedings. International Conference on Machine Learning and Cybernetics最新文献

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Real-time topics extraction and visualization in online discussions 在线讨论中的实时主题提取和可视化
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174519
Yaodong Li, Xiaodong Zhou, Xia Cui, Ruoxi Dai
{"title":"Real-time topics extraction and visualization in online discussions","authors":"Yaodong Li, Xiaodong Zhou, Xia Cui, Ruoxi Dai","doi":"10.1109/ICMLC.2002.1174519","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174519","url":null,"abstract":"Workshop line is a newly developed online discussion system. It is built on an enhanced version of chat line. The rules and other measures adopted in the workshop line discussions make it possible to extract topics with actual meanings in real time. In this paper, a tool for real-time topics extraction and visualization in workshop line discussions-THETA (a thesaurus-based topic analysis tool) is introduced. It is mainly based on a hierarchically structured thesaurus, which incorporates expertise. By simply scanning input text, counting frequencies of terms, summing up frequencies and sorting frequencies, topics with actual meanings can be extracted rapidly. Experimental results show that THETA works well and the real-time output can help online users to understand the contents of discussions and to discuss more fluently and efficiently.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"153 1","pages":"928-933 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78953799","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
Neural dipole localization by a hybrid nonlinear optimization algorithm 基于混合非线性优化算法的神经偶极子定位
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167459
Sheng Ye, Jie Hu
{"title":"Neural dipole localization by a hybrid nonlinear optimization algorithm","authors":"Sheng Ye, Jie Hu","doi":"10.1109/ICMLC.2002.1167459","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167459","url":null,"abstract":"In the MEG inverse problem, the source localization procedure is to obtain dipole parameter solution that produces a calculated field pattern best matching the measured data. Here, a hybrid algorithm is described, i.e., Levenberg-Marquardt (LM) method for a fine scanning near the source area, and quasi-Newton (QN) method for a high-speed coarse scanning over a large area of the head. By a set of simulations, this presented algorithm can be more efficient both in computation time and sensitivity to the iterative initial value.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"43 6 1","pages":"1505-1506 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76118501","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
Oscillation suppression for a class of flexible system with input shaping technique 一类采用输入整形技术的柔性系统的振动抑制
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175410
Jing Mao, Ke-Ping Liu, Yuan-chun Li
{"title":"Oscillation suppression for a class of flexible system with input shaping technique","authors":"Jing Mao, Ke-Ping Liu, Yuan-chun Li","doi":"10.1109/ICMLC.2002.1175410","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175410","url":null,"abstract":"The input shaping method has been applied to control many types of flexible systems. Input shaping is a simple and effective method. for reducing the residual vibration when positioning lightly damped systems. Also, it can be used to a class of system with oscillation to reduce or even eliminate the overshoot with the rise time as short as possible. In this paper, several types of command shaping techniques are introduced and compared. The relationship between different kinds of input shapers can be seen as well as their characteristics. Finally, applying the traditional ZVD method and the OATF to shape a closed-loop system verifies the proposed ideas.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"37 1","pages":"2108-2111 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86809702","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: 8
Comprehensive information fusion methodology for telecommunication network management 电信网络管理的综合信息融合方法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176697
Yun-lan Wang, Zeng-zhi Li, Jun Xue, Shi-Min Ban, Yinliang Zhao
{"title":"Comprehensive information fusion methodology for telecommunication network management","authors":"Yun-lan Wang, Zeng-zhi Li, Jun Xue, Shi-Min Ban, Yinliang Zhao","doi":"10.1109/ICMLC.2002.1176697","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176697","url":null,"abstract":"Focuses on Dempster-Schafer (D-S) evidence theory and fuzzy logic based information fusion methodology for telecommunication network management The production rules, fuzzy relations and fuzzy rules for fault diagnosis are multi-source. The multi-source information should be fused to achieve more comprehensive information.. The fusion algorithms for production rules are presented, including the factor coordinator algorithm, sequential iteration algorithm and evidence theory based algorithm. The same is done for fuzzy relations and fuzzy rules. Furthermore, in order to get more reliable diagnosis results, the D-S evidence theory is adopted to fuse the fault diagnosis results from the experts, expert system and fuzzy reasoning system.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"138 1","pages":"8-12 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86891708","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
Compound fuzzy neural control with application to hydro-turbine governing system 复合模糊神经控制及其在水轮机调节系统中的应用
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174518
W. Cai, Hai-Feng Liu, Guang-Da Chen, Pin-Mei Yie, Yuyin Cao
{"title":"Compound fuzzy neural control with application to hydro-turbine governing system","authors":"W. Cai, Hai-Feng Liu, Guang-Da Chen, Pin-Mei Yie, Yuyin Cao","doi":"10.1109/ICMLC.2002.1174518","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174518","url":null,"abstract":"The hydro-turbine governing system is a nonlinear, nonminimum phase, time-variant system. To improve the performance of the control system, it is necessary to find a good algorithm. In this paper, the compound fuzzy neural control, which combines the advantages of fuzzy control and neural control, is introduced. The simulation and analysis show that the proposed method is effective and better than the conventional PID control system.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"64 1","pages":"924-927 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86940589","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
Adaptive fuzzy control scheduling of hybrid real-time systems 混合实时系统的自适应模糊控制调度
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174494
Xiaoji Huai, Yong Zou, Ming Li
{"title":"Adaptive fuzzy control scheduling of hybrid real-time systems","authors":"Xiaoji Huai, Yong Zou, Ming Li","doi":"10.1109/ICMLC.2002.1174494","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174494","url":null,"abstract":"To meet the ever-increasing requirement of multi-task uncertainly concurring, dynamic uncertainty of tasks and system loads in open hybrid real-time systems, the paper presents a QoS model based open adaptive hybrid soft realtime systems scheduling framework. To adapt to the uncertainties of open hybrid real-time systems, we introduce fast fuzzy control mechanism to control the scheduling errors of QoS objects, so as to statistically guarantee that the accepted tasks of any QoS object can complete before their deadline. Simulation results illustrate that the scheduling framework can adapt the dynamic uncertainty of system objects, loads and tasks, and statistically guarantee the multi-constraints. It is an intelligent adaptive scheduling framework that can be applied to hybrid soft real-time systems.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"810-815 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87585936","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
Checking on the quality of gauge panel based on wavelet analysis 基于小波分析的仪表板质量检测
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174483
Shu-guang Liu, M. Liu, Yue He
{"title":"Checking on the quality of gauge panel based on wavelet analysis","authors":"Shu-guang Liu, M. Liu, Yue He","doi":"10.1109/ICMLC.2002.1174483","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174483","url":null,"abstract":"The wavelet transform has good local performance in both spatial and frequency domains. The two-dimensional discrete wavelet transform is a nearly ideal subband analysis/synthesis subsystem in image processing. Based on the fundamental theory of the wavelet transform, an edge detection method is successfully used in the feature extraction of a meter's image. To obtain the pointing errors of meters on a gauge panel, a new machine vision inspection criterion for the assessment of pointing accuracy is proposed. On the basis of this research, a machine vision inspection system for automobile gauge panels is developed. It is used in an automobile assembly line, performing quality inspection tasks with high accuracy.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"763-767 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86519172","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
Genetic algorithm based dynamic parameter learning for text retrieval 基于遗传算法的动态参数学习文本检索
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174538
Chuan Lin, Shaoping Ma, Min Zhang, Yijiang Jin
{"title":"Genetic algorithm based dynamic parameter learning for text retrieval","authors":"Chuan Lin, Shaoping Ma, Min Zhang, Yijiang Jin","doi":"10.1109/ICMLC.2002.1174538","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174538","url":null,"abstract":"In information retrieval (IR) systems, such as Okapi, there are always a variety of parameters to be set manually which are data-dependent and most sensitive to retrieval performance. Therefore, it will be ideal to deploy an automatic parameter learning mechanism. In this paper, we propose such a method based on the genetic algorithm. We apply our approach to the Okapi system. Experimental results on TREC2001 testing data indicate that our algorithm is effective to adjust system parameters and improve the retrieval performance significantly.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"51 1","pages":"1024-1027 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83827148","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 new algorithm of selecting the radial basis function networks center 一种选择径向基函数网络中心的新算法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175350
Hong-rui Wang, Hong-bin Wang, Li-xin Wei, Ying Li
{"title":"A new algorithm of selecting the radial basis function networks center","authors":"Hong-rui Wang, Hong-bin Wang, Li-xin Wei, Ying Li","doi":"10.1109/ICMLC.2002.1175350","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175350","url":null,"abstract":"The selecting of the radial basis function center is a key factor that influences the performance of networks. In this paper we first introduce briefly the fuzzy c-mean algorithm and k-nearest-neighbor algorithm as to the selection of the radial basis function center, and then we present a /spl delta/-nearest-neighbor cluster algorithm which combines the k-nearest-neighbor algorithm with fuzzy c-mean algorithm. Finally, we demonstrate the performance results for dynamic system identification via simulations.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"29 1","pages":"1801-1804 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82704535","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: 8
A new equation of saturation in RGB-to-HSI conversion for more rapidity of computing 为提高计算速度，提出了一种新的rgb - hsi转换饱和方程
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167456
Jianfeng Li, K. Wang, D. Zhang
{"title":"A new equation of saturation in RGB-to-HSI conversion for more rapidity of computing","authors":"Jianfeng Li, K. Wang, D. Zhang","doi":"10.1109/ICMLC.2002.1167456","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167456","url":null,"abstract":"In this paper, a new equation of saturation In RGB-to-HSI conversion is proposed on the basis of HSI color space, aimed to provide more rapidity of computing in real-time control systems due to fewer operations needed. The theoretical validity of new conversion equation is studied and testified. Besides its significant advantages over traditional equation on temporal performance, better mapping performances is mathematically explained as a minor advantage. It is shown in illustrative experiments that average 30% time was saved in computing when using new saturation conversion equation instead of traditional one.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"1980 1","pages":"1493-1497 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90051112","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: 21
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