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2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)最新文献

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Nitrogen oxide emission modeling for boiler combustion using accurate online support vector regression 基于精确在线支持向量回归的锅炉燃烧氮氧化物排放建模
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816339
Jianxin Zhou, Yinxin Ji, Zongliang Qiao, Fengqi Si, Zhigao Xu
{"title":"Nitrogen oxide emission modeling for boiler combustion using accurate online support vector regression","authors":"Jianxin Zhou, Yinxin Ji, Zongliang Qiao, Fengqi Si, Zhigao Xu","doi":"10.1109/FSKD.2013.6816339","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816339","url":null,"abstract":"Using the data of boiler combustion, an accurate online support vector regression (AOSVR) model of the Nitrogen Oxide (NOx) emission property is built. After the training and the testing, the result shows that AOSVR is a good tool for modeling with small sample data, compared with the method of SVR and artificial neural network (ANN). The model can estimate the NOx emission accurately under different conditions when the load or other parameters changes. The accuracy of this model can also meets the demand of the combustion optimization. The result shows that this new model has a good learning efficiency and prediction accuracy because the algorithm can update the parameters of the model by itself as time and other parameters change.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115583856","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
Fault diagnosis for down-hole conditions in beam pumping units based on an improved fuzzy Iterative Self-Organizing Data Analysis Technique 基于改进模糊迭代自组织数据分析技术的梁式抽油机井下工况故障诊断
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816207
Kun Li, Xian-wen Gao, Haitao Zhou, Zhong Tian
{"title":"Fault diagnosis for down-hole conditions in beam pumping units based on an improved fuzzy Iterative Self-Organizing Data Analysis Technique","authors":"Kun Li, Xian-wen Gao, Haitao Zhou, Zhong Tian","doi":"10.1109/FSKD.2013.6816207","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816207","url":null,"abstract":"Dynamometer cards are commonly used to analyze down-hole conditions of beam pumping units in practical oil production. In the literature, supervised learning based methods heavily rely on training samples. In order to realize unsupervised learning of fault diagnosis for down-hole conditions, a method based on an improved fuzzy Iterative Self-Organizing Data Analysis Technique (ISODATA) with “merging” and “splitting” mechanisms is proposed in this paper. The Hsim similarity function is used to replace the Euclidean distance to improve the classification accuracy in high-dimensional space. In “merging” and “splitting” mechanisms, the “minimum distance between two classes” is a very important parameter to affect clustering accuracy and is difficult to be accurately set in advance. It is considered as a variable parameter and is dynamically adjusted in the clustering process. Simulated annealing algorithm is used to realize optimization and Xie-Beni (XB) validity index is used as the optimization target. An example is given to illustrate that the proposed method can realize dynamic clustering with a better effectiveness.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116913127","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
Fuzzy position-force control in training systems with haptic guidance 触觉导引训练系统的模糊位置力控制
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816194
Xun Bi, Bo-quan Li, Hongxu Wang, Letang Xue, Weiguo Wang
{"title":"Fuzzy position-force control in training systems with haptic guidance","authors":"Xun Bi, Bo-quan Li, Hongxu Wang, Letang Xue, Weiguo Wang","doi":"10.1109/FSKD.2013.6816194","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816194","url":null,"abstract":"In contact operations, haptic information plays a very important role on compensating the limitation of visual information. Therefore, there is growing interests in the application of force feedback to improve the perception of the operators in virtual training systems. Based on the analysis on the load of the force feedback system, a gain-scheduling fuzzy proportional-integral-derivative (PID) controller is proposed to deal with the issues about position-force control in the training system with guiding force. The experiment results showed that, users can perform the training through moving along the pre-designed trajectories under the guidance of haptic feedback, while the jitter of the force feedback device was effectively suppressed during the training process. Thus, it is suggested that this proposed fuzzy-PID controller can be widely used in the force feedback training systems, such as rehabilitation robots and skill training systems in which the users have to maintain a proper moving path.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126080811","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
Video retrieval based on a new distance of histograms 基于直方图新距离的视频检索
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816308
Ying Chen, Ou Wu
{"title":"Video retrieval based on a new distance of histograms","authors":"Ying Chen, Ou Wu","doi":"10.1109/FSKD.2013.6816308","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816308","url":null,"abstract":"Summarizing and understanding video shot based on their contents is an important research topic in multimedia data mining. People tend to search their interested shots from a plenty of videos and many algorithms are used in this field. The algorithm based on histograms is one basic technology of existing methods, however, traditional histograms have the limit on similarity measurement and usually ignore the statistical information of feature. This paper presents an efficient algorithm based on histograms. A novel similarity measurement between histograms is also introduced. The experimental results show that our algorithm performs well and can play an important role in content-based video shot retrieval.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125482756","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
OntoExtract - Automated extraction of records using multiple ontologies OntoExtract -使用多个本体自动提取记录
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816318
Jer Lang Hong
{"title":"OntoExtract - Automated extraction of records using multiple ontologies","authors":"Jer Lang Hong","doi":"10.1109/FSKD.2013.6816318","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816318","url":null,"abstract":"Current search engines require an accurate yet fast automated extractor to extract relevant information from deep web for the users. Human users usually enter search queries and the search engines will then locate the desire information of interest by disambiguate the search query accordingly. The queries will then be passed on to multiple search engines for further processing. These search engines will then return the search results to the main search engine. However, data returned from these search engines are usually varied and presented in numerous formats and layouts. To extract them, we need automated extractor to filter out irrelevant information and locate the correct information. Current trends focused on using ontologies to automatically extract this information with high accuracy. To the best of our knowledge, no works have been made on using multiple ontologies (using many ontology techniques) to automatically extract information from deep webs. In this paper, we demonstrate that multiple ontologies technique can achieve higher accuracy when extracting data from the deep web.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115537491","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
A new distance computing method for DNA sequences in phylogenetic analysis 系统发育分析中DNA序列距离计算的新方法
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816284
Juan Wang, Maozu Guo, Kai Che, Chun-yu Wang, Xiaoyan Liu, Yang Liu
{"title":"A new distance computing method for DNA sequences in phylogenetic analysis","authors":"Juan Wang, Maozu Guo, Kai Che, Chun-yu Wang, Xiaoyan Liu, Yang Liu","doi":"10.1109/FSKD.2013.6816284","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816284","url":null,"abstract":"In this paper we proposed a new distance computing method for DNA sequences. Given a set of species, the method first codes the DNA sequences of each species into a characteristic vector, and then computes a distance matrix for the set of species based on these characteristic vectors. The distance matrix obtained can be used to construct phylogenetic trees for phylogenetic analysis. Such a method bypasses the complexity of performing multiple sequence alignments and avoids the ambiguity of choosing individual genes for species tree construction.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122456633","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
A new validity index with K-means algorithm and its applications in electrical tomography 一种新的k -均值算法有效性指标及其在电断层成像中的应用
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816239
Shihong Yue, Chenglong Yu, Ti Huang
{"title":"A new validity index with K-means algorithm and its applications in electrical tomography","authors":"Shihong Yue, Chenglong Yu, Ti Huang","doi":"10.1109/FSKD.2013.6816239","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816239","url":null,"abstract":"Many validity indices have been proposed for quantitatively assessing the performance of any clustering algorithms. But so far these validity indices generally depend on common trail-and-error methods and are inefficient when processing large or real-time needed datasets. In this paper we propose a Gerschgorin disk estimation-based criterion to estimate the optimal number of clusters when applying c-means algorithm. The clustering results first consist of a correlation matrix, then the eigenvalue decomposition is performed to obtain all eigenvalues and eigenvectors of the matrix, and finally in terms of the classical Gerschgorin disk theorem, the optimal number of clusters is estimated. On the other hand, a validity index plays an important role in electrical tomography of multiple-phase flow where the number of clusters has to be determined in advance. Experimental results on electrical tomography situation demonstrate that the new method outperforms the recently published approaches, while the efficiency is significantly improved.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129618522","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
Rough formal context based on the soft sets 基于软集的粗略形式上下文
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816184
L. Fu
{"title":"Rough formal context based on the soft sets","authors":"L. Fu","doi":"10.1109/FSKD.2013.6816184","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816184","url":null,"abstract":"The rough formal context is discussed in the soft sets. The rough soft formal context is defined on the rough formal context. Some soft operators are given in the rough soft formal context. Some rough properties are discussed over the rough formal context.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129662006","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
Triangular type-2 fuzzy neural networks version of the Stone-Weierstrass theorem 三角型2模糊神经网络版的Stone-Weierstrass定理
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816185
Saeed Panahian Fard, Z. Zainuddin
{"title":"Triangular type-2 fuzzy neural networks version of the Stone-Weierstrass theorem","authors":"Saeed Panahian Fard, Z. Zainuddin","doi":"10.1109/FSKD.2013.6816185","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816185","url":null,"abstract":"The universal approximation capability of type-2 fuzzy neural networks plays an important role in the approximation theory of type-2 fuzzy neural networks. In this study, we propose a triangular type-2 fuzzy number by using the interval type-2 triangular fuzzy number as introduced in our previous work. Moreover, we introduce some triangular type-2 fuzzy operations. Then, we use these concepts to construct three layer feedforward triangular type-2 fuzzy neural networks. Furthermore, we establish a main theorem that shows the universal approximation capability of these networks. The main theorem can be regarded as the triangular type-2 fuzzy neural networks version of the Stone-Weierstrass theorem.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130335086","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
Competitive intelligence acquisition from websites 从网站获取竞争情报
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816314
Lian Hu, Mengzhu Zhu
{"title":"Competitive intelligence acquisition from websites","authors":"Lian Hu, Mengzhu Zhu","doi":"10.1109/FSKD.2013.6816314","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816314","url":null,"abstract":"Competitive intelligence (CI) acquisition is an important way for enterprise to participate the fierce market competition in the information age. However, only webpages are used as the CI collection sources in previous studies while the websites factors are ignored. In fact, there is much key information in competitors' websites. In this paper, the CI factors possessed by the websites including website's rank, website's age, PageRank, IP-visit, PV Value, Backlinks, Response Time and Search Engine Visibility are analyzed. Then the corresponding CI information acquisition process and tools are studied. Case studies on two typical groups of Chinese e-commerce websites are presented respectively. Results suggest that CI information acquisition from websites is an effective way for enterprise to find its own and competitors' strengths and weaknesses, which has a great help for enterprise to adjust its market competition policies and obtain strategic advantage.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"19 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126936952","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
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