International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)最新文献_第3页

Segregating unique service object from multi-web sources for effective visualization 从多个web源中分离出唯一的服务对象，以实现有效的可视化

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208283

S. Jayanthi, S. Prema

{"title":"Segregating unique service object from multi-web sources for effective visualization","authors":"S. Jayanthi, S. Prema","doi":"10.1109/ICPRIME.2012.6208283","DOIUrl":"https://doi.org/10.1109/ICPRIME.2012.6208283","url":null,"abstract":"Web services describe a standardized way of integrating Web-based applications using the XML (Extensible Markup Language), SOAP (Simple Object Access Protocol), WSDL and UDDI (Universal Description Discovery and Integration) open standards over an Internet protocol backbone. WSDL (Web Service Definition Language) is used for describing the available services. The dynamic approach starts with crawling on the Web for Web Services, simultaneously gathering the WSDL service descriptions and related documents. The Web APIs provide the methodology for building unique service objects from multiple web resources. In this semantic search engine, if the web user gets satisfied with the description they can crawl into the webpage, otherwise they can shift to another link. This query enhancement process is exploited to learn useful information that helps to generate related queries. In this research work the add-on is automatically generated when compared with the existing system. Add-on is programs that are integrated into the browser application, usually providing additional functionality. Finally this work gives an overview of how to segregate the unique service object (USO) using Bookshelf Data Structure from web resources and use it to semantically annotate the resulting services in visual mode.","PeriodicalId":148511,"journal":{"name":"International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131119007","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

Mammogram image segmentation using fuzzy clustering 基于模糊聚类的乳房x线图像分割

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208360

R. Boss, K. Thangavel, D. Daniel

引用次数: 20

Design and implementation of secure, platform-free, and network-based remote controlling and monitoring system 安全、无平台、基于网络的远程控制与监控系统的设计与实现

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208342

C. L. Chowdhary, P. Mouli

引用次数: 3

Image compression using H.264 and deflate algorithm 图像压缩采用H.264和deflate算法

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208351

M. Sundaresan, E. Devika

引用次数: 3

Geometric feature based face-sketch recognition 基于几何特征的人脸素描识别

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208381

S. Pramanik, D. Bhattacharjee

{"title":"Geometric feature based face-sketch recognition","authors":"S. Pramanik, D. Bhattacharjee","doi":"10.1109/ICPRIME.2012.6208381","DOIUrl":"https://doi.org/10.1109/ICPRIME.2012.6208381","url":null,"abstract":"This paper presents a novel facial sketch image or face-sketch recognition approach based on facial feature extraction. To recognize a face-sketch, we have concentrated on a set of geometric face features like eyes, nose, eyebrows, lips, etc and their length and width ratio because it is difficult to match photos and sketches because they belong to two different modalities. In this system, first the facial features/components from training images are extracted, then ratios of length, width, and area etc. are calculated and those are stored as feature vectors for individual images. After that the mean feature vectors are computed and subtracted from each feature vector for centering of the feature vectors. In the next phase, feature vector for the incoming probe face-sketch is also computed in similar fashion. Here, K-NN classifier is used to recognize probe face-sketch. It is experimentally verified that the proposed method is robust against faces are in a frontal pose, with normal lighting and neutral expression and have no occlusions. The experiment has been conducted with 80 male and female face images from different face databases. It has useful applications for both law enforcement and digital entertainment.","PeriodicalId":148511,"journal":{"name":"International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117029467","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: 34

Computational unfoldment of mammograms 乳房x线照片的计算展开

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208366

M. Joshi, A. Bhale

{"title":"Computational unfoldment of mammograms","authors":"M. Joshi, A. Bhale","doi":"10.1109/ICPRIME.2012.6208366","DOIUrl":"https://doi.org/10.1109/ICPRIME.2012.6208366","url":null,"abstract":"The importance of mammograms in early breast cancer detection is an accepted fact. Mammograms (either an analog x-ray film or a digital softcopy) are computationally empowered to extract significant information. Several computational techniques/algorithms process mammograms to highlight and reveal otherwise unseen features. Thus mammographic images are computationally unfolded to obtain appropriate information that can be used for further analysis. Computational analysis of mammograms is an essential tool, which is used by numerous specialists for various purposes. In this paper we review such research work reported in the literature in recent years. Our focus is in particular on computational preprocessing of mammograms. Preprocessing involves enhancement of mammographic images as well as extraction of relevant features from images. We grouped various image enhancement research approaches systematically. We also categorized various research techniques based on the types of features that are extracted and used to obtain intended results. Although mammograms are used mostly for breast cancer detection, the research is not confined to this aspect only. Several other areas that deal with mammograms are also explored by researchers including image compression, Content based Image Retrieval (CBIR) etc. Variety in these research applications is also discussed and presented in this paper.","PeriodicalId":148511,"journal":{"name":"International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117221623","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

Network programming and mining classifier for intrusion detection using probability classification 基于概率分类的入侵检测网络规划与挖掘分类器

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208344

P. Prasenna, A. V. T. RaghavRamana, R. Krishnakumar, A. Devanbu

{"title":"Network programming and mining classifier for intrusion detection using probability classification","authors":"P. Prasenna, A. V. T. RaghavRamana, R. Krishnakumar, A. Devanbu","doi":"10.1109/ICPRIME.2012.6208344","DOIUrl":"https://doi.org/10.1109/ICPRIME.2012.6208344","url":null,"abstract":"In conventional network security simply relies on mathematical algorithms and low counter measures to taken to prevent intrusion detection system, although most of this approaches in terms of theoretically challenged to implement. Therefore, a variety of algorithms have been committed to this challenge. Instead of generating large number of rules the evolution optimization techniques like Genetic Network Programming (GNP) can be used. The GNP is based on directed graph, In this paper the security issues related to deploy a data mining-based IDS in a real time environment is focused upon. We generalize the problem of GNP with association rule mining and propose a fuzzy weighted association rule mining with GNP framework suitable for both continuous and discrete attributes. Our proposal follows an Apriori algorithm based fuzzy WAR and GNP and avoids pre and post processing thus eliminating the extra steps during rules generation. This method can sufficient to evaluate misuse and anomaly detection. Experiments on KDD99Cup and DARPA98 data show the high detection rate and accuracy compared with other conventional method.","PeriodicalId":148511,"journal":{"name":"International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122624894","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: 25

Deceptive phishing detection system: From audio and text messages in Instant Messengers using Data Mining approach 欺骗性网络钓鱼检测系统:基于数据挖掘方法的即时通讯语音和文本信息

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208390

M. M. Ali, L. Rajamani

引用次数: 14

Comparison of DTW and HMM for isolated word recognition DTW和HMM在孤立词识别中的比较

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208391

S. C. Sajjan, C. Vijaya

引用次数: 34

Interpolation based image watermarking resisting to geometrical attacks 基于插值的抗几何攻击图像水印

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208353

J. Veerappan, G. Pitchammal

引用次数: 0