2009 International Workshop on Intelligent Systems and Applications最新文献_第10页

A Clustering Model Inspired by Humoral Immunity 基于体液免疫的聚类模型

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072611

Yuling Tian, Peng Ren

{"title":"A Clustering Model Inspired by Humoral Immunity","authors":"Yuling Tian, Peng Ren","doi":"10.1109/IWISA.2009.5072611","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072611","url":null,"abstract":"In biological immune system, B-cells secrete large numbers of antibodies to recognize and eliminate the antigens. Inspired by the relationship of B-cells and antibodies, an effective immune model is presented in this paper. As its learning capability, this model can recognize not only the existing antigens but also the antigens that are unknown. The structure of the model and the detailed algorithm are given in this paper. And the validity of the model is proved through an experiment of motor fault data clustering. Keywords-artificial immune system; clustering; B-cell; antibody I. INTRODUCTION Currently, information technology develops very fast. So, huge information is produced, and data mining can transform them into useful knowledge. Clustering is an important domain of data mining. It can find out the distributing rule of data character through comparing the comparability and diversity of data, and help researchers to obtain more profound comprehension and cognition (1). But the traditional clustering algorithm are deficient on clustering precision and convergent speed, such as k-means algorithm, Bayesian learning algorithm, fuzzy C means algorithm (FCM), etc.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"49 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79856052","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

Generating New Chaos with a Switching Piecewise-Linear Controller 基于切换分段线性控制器的新混沌生成

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072886

Jun Li, Chengrong Xie

引用次数: 5

A Novel Naturally Sampled Space Vector Pulse Width Modulation Algorithm 一种新的自然采样空间矢量脉宽调制算法

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072664

Yu Yue, Zhixin Chen

引用次数: 0

Application of Virtual Instrument in Sewage Multi-Parameter Online Monitoring System 虚拟仪器在污水多参数在线监测系统中的应用

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072753

Huaigang Zang, Simeng Feng

引用次数: 0

The Application of BP Neural Network on Mechanical Failure Classification BP神经网络在机械故障分类中的应用

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5073165

Fang Zhou, Jianheng Ji, De-zhen Feng

引用次数: 1

Analysis for Elastic Modulus of Main Fill Materials to Stress Properties of High Fill Embankment Structure 主要填方材料弹性模量对高填方路堤结构应力特性的分析

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072733

Hui Li, E. Yan, Yi Xiao, Yukun Wu, Xiaoyun Yang, Ying Fan

引用次数: 1

Stereo Matching Algorithm Using Population-Based Incremental Learning on GPU 基于GPU的群体增量学习立体匹配算法

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5073118

Dong Nie, Kyu-Phil Han, Heng-Suk Lee

{"title":"Stereo Matching Algorithm Using Population-Based Incremental Learning on GPU","authors":"Dong Nie, Kyu-Phil Han, Heng-Suk Lee","doi":"10.1109/IWISA.2009.5073118","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073118","url":null,"abstract":"To solve the general problems of genetic algorithms applied in stereo matching, two measures are proposed. Firstly, the strategy of the simplified population-based incremental learning (PBIL) is adopted to decrease the problems in memory consumption and searching inefficiency, as well as a scheme controlling the distance of neighbors for disparity smoothness is inserted to obtain a wide-area consistency of disparities. In addition, an alternative version of the proposed algorithm without using a probability vector is also presented for simpler set-ups. Secondly, to decrease the running time further, a model of the proposed algorithm which can be run on programmable graphics-hardware (GPU) is newly given. The algorithms are implemented on the CPU as well as the GPU and evaluated by experiments. The experimental results show the proposed algorithm has better performance than traditional BMA methods with a deliberate relaxation and its modified version in both running speed and stability. The comparison in computation times for the algorithm both on GPU and CPU shows that the former has more speed-up than the latter, the bigger the image size is.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"41 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81447499","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

Application of Comprehensive Relational Grade Theory in Expert System of Transformer Fault Diagnosis 综合关联等级理论在变压器故障诊断专家系统中的应用

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072742

Jianpo Li, Xiaojuan Chen, Chunming Wu

引用次数: 5

On a Distributed Fusion Algorithm in Oil Forecast 石油预测中的分布式融合算法研究

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5072980

Ye Xu, Zhuo Wang, Wen-bo Zhang

引用次数: 1

Research on Sensor Management Algorithm of Midcourse Object Tracking 中段目标跟踪传感器管理算法研究

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI: 10.1109/IWISA.2009.5073082

Bo Wang, W. An, Yiyu Zhou

引用次数: 0