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2013 IEEE INISTA最新文献

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An algebraic-based structural framework for the ontology alignment 基于代数的本体对齐结构框架
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577667
Guebaili-Djider Ratiba, Mokhtari Aicha, Nouioua Farid, Boustia Narhimene, Akli-Astouati Karima
{"title":"An algebraic-based structural framework for the ontology alignment","authors":"Guebaili-Djider Ratiba, Mokhtari Aicha, Nouioua Farid, Boustia Narhimene, Akli-Astouati Karima","doi":"10.1109/INISTA.2013.6577667","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577667","url":null,"abstract":"To use ontologies in semantic Web we meet two major challenges. First, we have to use a logical formalism to write concepts with enough expression power. Second, we must guarantee a maximum interoperability if different ontologies are used. To do that, ontology alignment is one of the most appropriate solutions. It is based on the syntactic, semantic and structural similarities of the different input ontologies. To write the ontology concepts, we propose in this work, a description logic whose semantics is algebraic-based. Then, based on this representation formalism, we show how to improve the measure used to compute the structural similarity and we propose an argumentation-based method to deal with the ontology alignment problem.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"67 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":"134001534","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
Performance analysis of Lab2000HL color space for background subtraction Lab2000HL色彩空间背景减法的性能分析
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577659
M. Balcilar, F. Karabiber, A. Sonmez
{"title":"Performance analysis of Lab2000HL color space for background subtraction","authors":"M. Balcilar, F. Karabiber, A. Sonmez","doi":"10.1109/INISTA.2013.6577659","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577659","url":null,"abstract":"Background subtraction techniques are commonly used to identify moving objects in computer vision applications. This is still a challenging problem, especially when there is a non-stationary background such as a waving sea, or in the case where camera oscillations exist, or when videos have non-stationary backgrounds because of sudden changes in lightning. One of the most significant sub-tasks of a generic background subtraction technique is the background modeling step, which determines how background will be represented. A wide range of the literature is upon development of statistical models for background modeling. Especially, Gaussian Mixture Model (GMM) is a basic method. In this method, values of each pixel's features with respect to time are represented with a few normal distributions. The problem with which features pixels will be represented is an important research topic. Recent studies involve applications using different color space with both pixel and region based features. In this study, in addition to color spaces used in literature, new color space which have linear hue band and named as Lab2000HL is aimed to test. The segmentation of foreground/background performance is measured with average precision rate. Nine different videos from I2R dataset having non-static background examples are used as test dataset.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"183 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":"116393221","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: 13
An application of community discovery in academical social networks 社区发现在学术社交网络中的应用
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577650
Enis Arslan, S. Akyokuş, M. Ganiz
{"title":"An application of community discovery in academical social networks","authors":"Enis Arslan, S. Akyokuş, M. Ganiz","doi":"10.1109/INISTA.2013.6577650","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577650","url":null,"abstract":"The objective of this study is to discover social communities in a social network using different social network community discovery methods that utilize metrics and structures like degree, clustering coefficient, k-cores, weak and strong components. We have used two different datasets and methods: K-core community discovery method for DBLP dataset and Main Path Analysis method for Arxiv High-energy physics theory citation network. At the end of the analyses, we have obtained several reports that represent the skeleton structure of the communities in the networks.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"42 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":"116453446","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: 2
NMF based dimension reduction methods for Turkish text clustering 基于NMF的土耳其语文本聚类降维方法
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577618
A. Guran, M. Ganiz, H. S. Naiboglu, Halil Oguz Kaptikacti
{"title":"NMF based dimension reduction methods for Turkish text clustering","authors":"A. Guran, M. Ganiz, H. S. Naiboglu, Halil Oguz Kaptikacti","doi":"10.1109/INISTA.2013.6577618","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577618","url":null,"abstract":"In this work, we analyze the effects of NMF based dimension reduction methods on clustering of Turkish documents by using k-means clustering algorithm. All experiments are conducted on two different datasets that we call Milliyet4c1k and 1150haber. The NMF based dimension reduction methods have two purposes: to reduce the original vector space by transformation and to reduce size and dimension by summarizing original documents. Experimental results show that NMF transformation yields to better clustering results on both datasets. Using k-means on summarized documents produces almost identical result with k-means on original documents. Although using summaries instead of full documents doesn't improve quality of clustering, we show that it significantly reduces the size of the processed data and execution time of k-means clustering algorithm.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"129 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":"127087998","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
An intelligent approach to optimal predictive maintenance strategy defining 一种智能的最优预测性维护策略定义方法
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577666
Ivan Mustakerov, D. Borissova
{"title":"An intelligent approach to optimal predictive maintenance strategy defining","authors":"Ivan Mustakerov, D. Borissova","doi":"10.1109/INISTA.2013.6577666","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577666","url":null,"abstract":"The rapid growth of industries has complicated the systems functioning and has intensified the maintenance process. This emphasizes the need for effective maintenance planning. The improvement in maintenance technology relies on predictive maintenance, which is based on the determination of a machine condition while in operation. Maintenance planning is complex problem involving condition monitoring and expert knowledge. In the paper, an intelligent approach to optimal predictive maintenance strategy defining is proposed. It is based on methodology for predictive maintenance that increases reliability by determining the optimal maintenance strategy. For the goal, an algorithm based on cost-benefit analysis and optimization tasks solution is developed. The proposed approach to optimal predictive maintenance is demonstrated on the example of real vibrating feeder data. The results of numerical illustration show the applicability of intelligent decision making for optimal predictive maintenance strategy defining.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"1 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":"130074352","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: 13
A three-way clustering approach to cross-species gene regulation analysis 跨物种基因调控分析的三向聚类方法
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577644
D. Dede, H. Oğul
{"title":"A three-way clustering approach to cross-species gene regulation analysis","authors":"D. Dede, H. Oğul","doi":"10.1109/INISTA.2013.6577644","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577644","url":null,"abstract":"Many different biological data mining methods have been used in gene expression data analysis. A common method is two-way clustering, also called biclustering, which is used to identify the gene groups that behave similarly under a subset of experimental conditions. This paper introduces a novel approach called three-way clustering (TriWClustering) for cross-species gene regulation analysis, to mine coherent clusters named triclusters in three-dimensional (gene-condition-organism) gene expression datasets. The developed method has been applied to three different gene expression data obtained from NCBI's GEO data collection. Biological and statistical significance of the results are evaluated using Gene Ontology term enrichment analysis and Dunn index (DI) metric, respectively. The experimental results indicate that TriWClustering can find significant triclusters and promote a useful tool for cross species gene regulation analysis.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"44 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":"114717596","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
Noise cancellation on mitral valve Doppler signal with IIR digital filter using harmony search algorithm 用和声搜索算法对二尖瓣多普勒信号进行IIR数字滤波降噪
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577620
Bircan Kamislioglu, S. Kockanat, T. Koza, N. Karaboga
{"title":"Noise cancellation on mitral valve Doppler signal with IIR digital filter using harmony search algorithm","authors":"Bircan Kamislioglu, S. Kockanat, T. Koza, N. Karaboga","doi":"10.1109/INISTA.2013.6577620","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577620","url":null,"abstract":"In this paper, a filter design approach which uses the harmony search algorithm for additive white Gaussian noise cancellation through an infinite impulse response digital filter, is described. In the digital filter design, a mitral valve Doppler signal and a 4th degree infinite impulse response digital filter were used. In order to improve the design, additive white Gaussian noise was added to the mitral valve Doppler signal at different values of signal to noise ratio which were selected as -4dB, +4dB, -2dB and +2dB. As a result, four different infinite impulse response digital filters were designed at different noise levels using the harmony search algorithm and their performances were compared with each other.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"25 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":"116737379","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
A comprehensive analysis of using semantic information in text categorization 综合分析语义信息在文本分类中的应用
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577651
Kerem Çelik, T. Gungor
{"title":"A comprehensive analysis of using semantic information in text categorization","authors":"Kerem Çelik, T. Gungor","doi":"10.1109/INISTA.2013.6577651","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577651","url":null,"abstract":"Traditional text categorization methods only deal with the content of the documents and use some statistic based metrics to represent the documents. The representation is then used by a machine learning approach to determine the document class. In this picture, the meaning of the document is missing. In order to add meaning into the text categorization process, we start with using part-of-speech tagging (POS). As expected, in a document each part-of-speech tag does not contribute the same amount of information to the document meaning. In addition to the POS information, we make use of WordNet to add semantic features such as synonyms, hypernyms, hyponyms, meronyms and topics into classification process. Using WordNet's semantic features introduces ambiguity and not all semantic features are really related to the document content. To overcome this problem, we introduce a new method to eliminate the ambiguity. Various combinations of POS, WordNet and word sense disambiguation are applied and the results show that using semantic features perform better than the traditional, context based methods.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"61 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":"115750787","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: 16
On applicability of Principal Component Analysis to concept learning from images 论主成分分析在图像概念学习中的适用性
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577623
Boris Strandjev, G. Agre
{"title":"On applicability of Principal Component Analysis to concept learning from images","authors":"Boris Strandjev, G. Agre","doi":"10.1109/INISTA.2013.6577623","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577623","url":null,"abstract":"The paper presents some experiments investigating the applicability of the Principal Component Analysis method for solving several concept learning tasks defined on images of faces. The results have shown that, in most cases, the applied transformation improves the classification accuracy of used concept learning algorithms. In addition the experiments have confirmed a possible relation between the quality of the obtained improvements and the complexity of the concepts to be learnt. This relation has the potential to be an objective measure of “concept complexity”.","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":"125414204","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
A lip reading application on MS Kinect camera 微软Kinect摄像头上的唇读应用
2013 IEEE INISTA Pub Date : 2013-06-19 DOI: 10.1109/INISTA.2013.6577656
Alper Yargic, M. Dogan
{"title":"A lip reading application on MS Kinect camera","authors":"Alper Yargic, M. Dogan","doi":"10.1109/INISTA.2013.6577656","DOIUrl":"https://doi.org/10.1109/INISTA.2013.6577656","url":null,"abstract":"Hearing-impaired people can read lips and lip reading applications may help them to improve their lip imitation skills. Speech of normal people can be recognized by even cellular phones but lip reading systems using only visual features remain important for hearing-impaired people. This paper aims to develop an application using MS Kinect camera to recognize Turkish color names to be used in the education of hearing-impaired children. Predefined lip points are located with depth information by the MS Kinect Face Tracking SDK. Words are segmented from the speech and the angles between the lip points are used as features to classify the words. Angles are computed using the 3D coordinates of the lip points. The KNN classifier is used to classify the words with Manhattan and Euclidean distances and the best feature vectors are tried to be found. As a result, the isolated words are classified with the success rate of 78.22%.","PeriodicalId":301458,"journal":{"name":"2013 IEEE INISTA","volume":"30 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":"129934149","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: 24
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