Tracking On-line Radicalization Using Investigative Data Mining

به نام خدا

Title: Tracking On-line Radicalization Using Investigative Data Mining

Authors: Pooja Wadhwa, MPS Bhatia

Abstract: The increasing complexity and emergence of Web 2.0 applications have paved way for threats arising out of the use of social networks by cyber extremists (Radical groups). Radicalization (also called cyber extremism and cyber hate propaganda) is a growing concern to the society and also of great pertinence to governments & law enforcement agencies all across the world. Further, the dynamism of these groups adds another level of complexity in the domain, as with time, one may witness a change in members of the group and hence has motivated many researchers towards this field. This proposal presents an investigative data mining approach for detecting the dynamic behavior of these radical groups in online social networks by textual analysis of the messages posted by the members of these groups along with the application of techniques used in social network analysis. Some of the preliminary results obtained through partial implementation of the approach are also discussed.   

Publish Year: 2013

Published in: NCC - IEEE

Number of Pages: 5

موضوع: کاربردهای داده کاوی

مشاهده صفحه اول مقاله

دانلود مقاله

لینک مقاله در سایت ناشر

 

ایران سای – مرجع مقالات علمی فنی مهندسی

حامی دانش بومی ایرانیان

Query-Specific Visual Semantic Spaces for Web Image Re-ranking

به نام خدا

Title: Query-Specific Visual Semantic Spaces for Web Image Re-ranking

Authors: Xiaogang Wang,Ke Liu,Xiaoou Tang,

Abstract: Image re-ranking, as an effective way to improve the re-sults of web-based image search, has been adopted by cur-rent commercial search engines. Given a query keyword, apool of images are first retrieved by the search engine basedon textual information. By asking the user to select a queryimage from the pool, the remaining images are re-rankedbased on their visual similarities with the query image. Amajor challenge is that the similarities of visual features donot well correlate with images_ semantic meanings whichinterpret users_ search intention. On the other hand, learn-ing a universal visual semantic space to characterize highlydiverse images from the web is difficult and inefficient.In this paper, we propose a novel image re-rankingframework, which automatically offline learns different vi-sual semantic spaces for different query keywords throughkeyword expansions. The visual features of images are pro-jected into their related visual semantic spaces to get se-mantic signatures. At the online stage, images are re-rankedby comparing their semantic signatures obtained from thevisual semantic space specified by the query keyword. Thenew approach significantly improves both the accuracy andefficiency of image re-ranking. The original visual featuresof thousands of dimensions can be projected to the seman-tic signatures as short as 25 dimensions. Experimental re-sults show that 20% - 35% relative improvement has beenachieved on re-ranking precisions compared with the state-of-the-art methods.   

Publish Year: 2011

Published in: CVPR - IEEE

Number of Pages: 8

موضوع: وب معنایی

مشاهده صفحه اول مقاله

دانلود مقاله

لینک مقاله در سایت ناشر

 

ایران سای – مرجع مقالات علمی فنی مهندسی

حامی دانش بومی ایرانیان

Video Based Palmprint Recognition

به نام خدا

Title: Video Based Palmprint Recognition

Authors: Chhaya Methani and Anoop M Namboodiri

Abstract: The use of camera as a biometric sensor is desir-able due to its ubiquity and low cost, especially for mo-bile devices. Palmprint is an effective modality in suchcases due to its discrimination power, ease of presen-tation and the scale and size of texture for capture bycommodity cameras. However, the unconstrained na-ture of pose and lighting introduces several challengesin the recognition process. Even minor changes in poseof the palm can induce significant changes in the vis-ibility of the lines. We turn this property to our ad-vantage by capturing a short video, where the naturalpalm motion induces minor pose variations, providingadditional texture information. We propose a method toregister multiple frames of the video without requiringcorrespondence, while being efficient. Experimental re-sults on a set of different 100 palms show that the use ofmultiple frames reduces the error rate from 12.75% to4.7%. We also propose a method for detection of poorquality samples due to specularities and motion blur,which further reduces the EER to 1.8%.   

Publish Year: 2010

Publisher: ICPR - IEEE

Number of Pages: 4

موضوع: تشخیص اثر کف دست

مشاهده صفحه اول مقاله

دانلود مقاله

لینک مقاله در سایت ناشر

 

ایران سای – مرجع مقالات علمی فنی مهندسی

حامی دانش بومی ایرانیان

Feasibility of SNMP OID compression

به نام خدا

Title: Feasibility of SNMP OID compression

Authors: Hari TS Narayanan a, , Geetha Ilangovan a , Sumitra Narayanan b

Abstract: Simple network management protocol (SNMP) object identi?er (OID) compression can improve bandwidth usage and response time. The current literature includes several OID compres- sion algorithms to reduce redundancy in SNMP protocol data units (PDUs). The overhead of OID compression could outweigh the bene?ts it offers if its tradeoffs are not well understood. The main objective of this paper is to investigate the OID compression as a viable feature for SNMP libraries. This is done by adding an OID compression algorithm to Net-SNMP, which is one of the popular open source implementations of the SNMP framework. Change to image size, lines of code added, complexity of compression code, the effect of compression on response time, and testing effort required are the parameters presented to understand the viability of OID compression.   

Publish Year: 2013

Number of Published in: Information Sciences - Science Direct

Pages: 8

موضوع: فشرده سازی تصویر، فشرده سازی داده ها

مشاهده صفحه اول مقاله

دانلود مقاله

لینک مقاله در سایت ناشر

 

ایران سای مرجع مقالات علمی فنی مهندسی

حامی دانش بومی ایرانیان

 

Assessing ICT User Groups

به نام خدا

Title: Assessing ICT User Groups

Authors: Benjamin Weiss, Ina Wechsung, Stefanie Marquardt

Abstract: A questionnaire to assess attitude towards information and communication technology (ICT) and experience with it is developed and evaluated. With 30 items user attributes are collected on six factors. With this questionnaire, individual users can be clustered in accordance with an existing ICT taxonomy. A revised version is proposed after the validation of the first questionnaire. This screening instrument is meant to complement existing methods of assessing competency with technology. Furthermore, the possibility to classify users within the ICT taxonomy provides additional means to analyze data from interaction experiments and to screen prospective participants for usability tests and scientific experiments.   

Publish Year: 2012

Published in: NordiCHI - ACM

Number of Pages: 9

موضوع: فناوری اطلاعات و ارتباطات

مشاهده صفحه اول مقاله

دانلود مقاله

لینک مقاله در سایت ناشر

 

ایران سای مرجع مقالات علمی فنی مهندسی

حامی دانش بومی ایرانیان