IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application最新文献

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Textile Pattern Generation Technique Based on Quasi-Regular Pattern Theory and Their Transform 基于准正则图案理论的纺织品图案生成技术及其变换
Suyi Liu, Leduo Zhang
{"title":"Textile Pattern Generation Technique Based on Quasi-Regular Pattern Theory and Their Transform","authors":"Suyi Liu, Leduo Zhang","doi":"10.1109/PACIIA.2008.225","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.225","url":null,"abstract":"A lot of function database were built by researching evolution law of uniform stochastic web and quasi-regular patterns mathematical model. It related quasi-regular pattern evolution mechanism with textile pattern design to translate formerly invisible information in mathematic area into visible textile pattern of art design. So the visual field on design could be effectively expanded, and formed the new design concept and thinking.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130085487","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
Improving Fuzzy C-Means Clustering by a Novel Feature-Weight Learning 基于新特征权学习的模糊c均值聚类改进
Y. Yue, Dayou Zeng, Lei Hong
{"title":"Improving Fuzzy C-Means Clustering by a Novel Feature-Weight Learning","authors":"Y. Yue, Dayou Zeng, Lei Hong","doi":"10.1109/PACIIA.2008.153","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.153","url":null,"abstract":"Feature-weight assignment can be regarded as a generalization of feature selection. That is, if all values of feature weights are either 1 or 0, feature-weight assignment degenerates to the special case of feature selection. Generally speaking, a number in [0 1] can be assigned to a feature for indicating the importance of the feature. This paper shows that an appropriate assignment of feature-weight can improve the performance of fuzzy c-means clustering. The weight assignment is given by learning according to the gradient descent technique. Experiments on some UCI databases demonstrate the improvement of performance of fuzzy c-means clustering.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"2 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122238983","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
Birkhoff Type 2-Periodic Trigonometric Interpolation in the Family of Trigonometric Polynomial 三角多项式族中的Birkhoff型2-周期三角插值
G. Jin, Yong Ding
{"title":"Birkhoff Type 2-Periodic Trigonometric Interpolation in the Family of Trigonometric Polynomial","authors":"G. Jin, Yong Ding","doi":"10.1109/PACIIA.2008.403","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.403","url":null,"abstract":"A kind of Birkhoff type 2-periodic trigonometric interpolation problems with equidistant nodes for 2pi periodic functions is discussed in the family of trigonometric polynomial. We find the necessary and sufficient conditions for the solvable case of this interpolation problem. The expressions of the interpolation basis are constructed.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133034177","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
An Algorithm for Segmentation of Conglutinate Manuscript Financial Chinese Characters Based on the Character of Stroke 一种基于笔画特征的粘合稿财经汉字分割算法
Zili Li, Peng Wang
{"title":"An Algorithm for Segmentation of Conglutinate Manuscript Financial Chinese Characters Based on the Character of Stroke","authors":"Zili Li, Peng Wang","doi":"10.1109/PACIIA.2008.340","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.340","url":null,"abstract":"In electronic commerce and the infomationization of finance, the recognition of manuscript financial Chinese characters by means of computer is a realm of significance and challenge. The key in this realm is the segmentation of the image of Chinese characters correctly and efficiently. Among the existing methods, ones which is of high correctness and efficiency are rare. In this paper, starting with analysis the character of manuscript financial Chinese characters, an algorithm is found to segment conglutinate manuscript financial Chinese characters based on the character of stroke. Many experiments prove that this algorithm has a greater advantage than others.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122041082","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
Location Service Based on K-Hop Clustering Algorithm for Heterogeneous Ad Hoc Networks 异构Ad Hoc网络中基于K-Hop聚类算法的位置服务
Jiangwei Zhou, B. Feng
{"title":"Location Service Based on K-Hop Clustering Algorithm for Heterogeneous Ad Hoc Networks","authors":"Jiangwei Zhou, B. Feng","doi":"10.1109/PACIIA.2008.16","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.16","url":null,"abstract":"Many works has researched on homogeneous ad hoc networks. This paper is focused on heterogeneous ad hoc networks. In such networks, two types of nodes are discussed. One type is location server which provides location service, and the other type is general node. A location server can be an individual device or be attached to a host which has the capabilities of providing location service. A location server has the characteristic that it is stationary or moves at a very low speed during the whole task. Based on such networks, we combine location service with k-hop clustering algorithm to provide location service for general nodes. Location service messages between location servers and general nodes are all unicast packets, which avoids global broadcast like other location service. Moreover, location update messages are only triggered by the status change of a node. So the control overhead decreases dramatically on the condition that the quality of location service is guaranteed. Moreover, geographical forwarding is modified to appropriate new structure networks, which improves the network¿s performance considerably. The simulation results show that high mobility adaptation and good scalability are achieved.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115589000","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
Research and Design on Personalized DL Based on J2EE 基于J2EE的个性化DL的研究与设计
Haiyan Kang, Chen Li
{"title":"Research and Design on Personalized DL Based on J2EE","authors":"Haiyan Kang, Chen Li","doi":"10.1109/PACIIA.2008.293","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.293","url":null,"abstract":"From the angle of natural language processing, this paper analyses the architecture and core technologies of personalized digital library. It introduces matching strategy of document content representation and topic search. This matching strategy is a expansion model of vector space model. It uses word relating matrix base on tradition VSM. The WRM is computed by co-occurrence and mutual information of index word. Experiment data show the strategy used WRM is better than tradition VSM. At the same time personalized digital library is designed based on J2EE according to above strategy. It provides a project for personalized DL searching information in isomer database. This paper also introduces the key technologies based on J2EE, which includes EJB delegate technology, joint common pool technology and so on.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126504237","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
Research and Application of Data Mining Method Based on Gray Trend Relational Analysis 基于灰色趋势关联分析的数据挖掘方法研究与应用
Zhijun Li, Lei Zhang, Mianyun Chen, Weiwei Wang
{"title":"Research and Application of Data Mining Method Based on Gray Trend Relational Analysis","authors":"Zhijun Li, Lei Zhang, Mianyun Chen, Weiwei Wang","doi":"10.1109/PACIIA.2008.217","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.217","url":null,"abstract":"The characteristics of \"poor\" information in database and the requirement of \"poor\" information data mining are analyzed. Based on gray trend relational degree and general system theory, the model of gray trend relational system is investigated. As an application of this model, the gray trend clustering method is presented. Based on the scanty data of some examination papers in a teaching evaluation, all kinds of papers are clustered by gray trend clustering method, and the clustering result accords with fact. It shows that the gray trend clustering method is valid, convenient and practical. Gray trend relational clustering is one of gray relational analysis methods that included in the gray trend relational system. Using it to mine the \"poor\" information in the database will be an important development to the data mining method.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124618886","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
Non-Recursive Wavelet Transforms in l2(Zc+) l2(Zc+)中的非递归小波变换
Xiaoxin Li, Deyu Qi, Zhengping Qian
{"title":"Non-Recursive Wavelet Transforms in l2(Zc+)","authors":"Xiaoxin Li, Deyu Qi, Zhengping Qian","doi":"10.1109/PACIIA.2008.45","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.45","url":null,"abstract":"Today, almost all of the implementations of the discrete wavelet transforms are based on the recursive way. However, non-recursive wavelet transforms (NRWT) are more effective and more flexible. We extend the NRWT theory in lscr<sup>2</sup> (Z) and propose a new NRWT theory based on 6 different downsampling modes in lscr<sup>2</sup> (Z<sub>c</sub> <sup>+</sup>). This extending makes NRWT more practical and can be compatible with the traditional recursive wavelet transform. We study the properties of the NRWT under the 6 downsampling modes, W<sub>-3leskles2</sub>, through the analysis of redundancy degree and point out that W<sub>-2</sub> is optimal and the redundancy degrees of W<sub>-2</sub> and W<sub>0</sub> are identical. The analysis of redundancy degree offers a method to choose the NRWT mode.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"162 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125947882","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
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