R. Sukumar, Sarin Sukumar, Shah.A Firoz, Babu Anto
{"title":"Key-Word Based Query Recognition in a Speech Corpus by Using Artificial Neural Networks","authors":"R. Sukumar, Sarin Sukumar, Shah.A Firoz, Babu Anto","doi":"10.1109/CICSyN.2010.56","DOIUrl":"https://doi.org/10.1109/CICSyN.2010.56","url":null,"abstract":"Information Retrieval deals with the easy access to the information based on the user’s request, which will be presented in the form of a query. A dialog system that understands spoken natural language queries asks for further information if necessary and produces an answer to the speaker’s query. Most of the research works in Information Extraction focus only on written language processing, in which a few are devoted to the study of Spoken Language Information Extraction. This paper discusses a novel technique for recognition of the isolated question words from Malayalam (one of the south Indian languages) speech query. We have created and analyzed a database consisting of 500 isolated question words. Fast Fourier Transform (FFT) and Discrete Cosine transform (DCT) is used for the feature extraction purpose and Artificial Neural Network (ANN) is used for classification and recognition. A recognition accuracy of 85% could be achieved from this experiment","PeriodicalId":312375,"journal":{"name":"International Conference on Computational Intelligence, Communication Systems and Networks","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127509500","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}
{"title":"Call Admission Control Approaches in Beyond 3G Networks Using Multi Criteria Decision Making","authors":"H. Babu, Gowrishankar, P. Satyanarayana","doi":"10.1109/CICSYN.2009.82","DOIUrl":"https://doi.org/10.1109/CICSYN.2009.82","url":null,"abstract":"The next generation wireless networks (NGWN) should cater the varied requirements of the user and applications. The Call admission Control (CAC) is one of the radio resource management (RRM) technique used in the wireless networks. Unlike the CAC in homogeneous wireless networks the CAC in next generation wireless networks is very complex. In the next generation heterogeneous wireless networks, a user with a multi-interface terminal may have network access to different service providers using various technologies. This makes call admission control a challenging task where single criteria based CAC algorithms may not be able handle the decision making process efficiently, to address the heterogeneous architectures which characterize next generation wireless network, it is apparent that the call admission control algorithms should be based on multiple criteria. Various approaches have been proposed to solve the call admission control decision problem using multi criteria decision making (MCDM). This article provides a comprehensive survey of the different approaches for Call admission control using multi criteria decision making (MCDM) for incoming calls in heterogeneous wireless networks. The advantages and disadvantages of each approach are discussed.","PeriodicalId":312375,"journal":{"name":"International Conference on Computational Intelligence, Communication Systems and Networks","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126616160","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}
{"title":"Face Recognition Method Based on Adaptively Weighted Block-Two Dimensional Principal Component Analysis","authors":"Lihong Zhao, Zikui Guo","doi":"10.1109/CICSyN.2011.18","DOIUrl":"https://doi.org/10.1109/CICSyN.2011.18","url":null,"abstract":"","PeriodicalId":312375,"journal":{"name":"International Conference on Computational Intelligence, Communication Systems and Networks","volume":"1 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":"130056368","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}