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Emerging Applications of Information Technology (EAIT), 2011 Second International Conference on

Date 19-20 Feb. 2011

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Displaying Results 1 - 25 of 99
  • [Front cover]

    Publication Year: 2011, Page(s): C1
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  • [Title page i]

    Publication Year: 2011, Page(s): i
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  • [Title page iii]

    Publication Year: 2011, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2011, Page(s): iv
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  • Table of contents

    Publication Year: 2011, Page(s):v - xii
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  • Preface

    Publication Year: 2011, Page(s):xiii - xv
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  • Committee Lists

    Publication Year: 2011, Page(s):xvi - xvii
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  • Program Committee

    Publication Year: 2011, Page(s):xviii - xx
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  • Additional Reviewers

    Publication Year: 2011, Page(s): xxi
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  • Conference Organizer and Sponsors

    Publication Year: 2011, Page(s): xxii
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  • Blurring Boundaries: Creativity in the Intersections of Art and Technology

    Publication Year: 2011, Page(s):3 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1119 KB) | HTML iconHTML

    This paper explores the new applications of information technology in the realm of contemporary art through the work of international digital artists. I investigate works of some of the central modern creators who are using computer graphics and digital animation to give form to their artistic aspirations. This effort is opening up new dimensions and new areas of research blurring the boundaries b... View full abstract»

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  • A Framework to Convert XML Schema to ROLAP

    Publication Year: 2011, Page(s):11 - 16
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (262 KB) | HTML iconHTML

    Data warehouse provides architecture and tools for business executive to systematically organize, understand and use their data to make strategic decision. On the other hand, XML is used for e-commerce and Internet based application. Since many organizations use web for their business purpose, researches has been done for integrating XML data into data warehouse. This paper illustrates an approach... View full abstract»

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  • A Fuzzy Ordered Weighted Average (OWA) Approach to Result Merging for Metasearch Using the Analytical Network Process

    Publication Year: 2011, Page(s):17 - 20
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (279 KB) | HTML iconHTML

    A metasearch engine is a Information Retrieval (IR) tool that greatly expands the scope of Internet Search. Functionally a metasearch engine passes a query to multiple search engines and combines and re-ranks results returned by them in one merged list. Result Merging is a key component of metasearch and different techniques have been applied to solve the problem. In this paper we propose a model ... View full abstract»

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  • An Association Rule Mining Based Stock Market Recommender System

    Publication Year: 2011, Page(s):21 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (243 KB) | HTML iconHTML

    We propose an Association Rule Mining (ARM) based Recommender system for the stock markets. Normally technical and fundamental analyses are a basis of prediction of stock price. Several systems exist for monitoring and prediction of stock prices. But these deal with individual stocks. They do not give the inter-relationship between stocks or their relationship with the stock market INDEX. Our meth... View full abstract»

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  • Collective Intelligence Applications -- Algorithms and Visualization

    Publication Year: 2011, Page(s):25 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB) | HTML iconHTML

    Modern businesses like Amazon, Facebook, Google, eBay and many others have gained immense popularity, as they have been able to provide pertinent information based on user interactions with content. The prime mover for their success is the active usage of collective intelligence. The need for collective intelligence has increased with the stepping in of web 2.0. Applying it to improve user interac... View full abstract»

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  • Online Learning Algorithms for Dynamic Scheduling Problems

    Publication Year: 2011, Page(s):31 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (283 KB) | HTML iconHTML

    This paper presents game theoretic and reinforcement learning approach to dynamic scheduling. In dynamic scheduling problems all input is not available at the starting of scheduling. Input arrives online at the time of scheduling. So scheduling algorithm should be capable of scheduling the piece of input available till the time and schedule it as the input arrives. We used game theoretic and reinf... View full abstract»

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  • A Novel Approach: Using Bayesian Belief Networks in Product Recommendation

    Publication Year: 2011, Page(s):37 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (210 KB) | HTML iconHTML

    Prediction systems apply knowledge discovery techniques to the problem of making personalized product recommendations. The tremendous growth of customers and products in recent years, poses some key challenges for prediction systems, as these are producing high quality recommendations per seconds for millions of customers and products. New recommender system technologies are needed that can quickl... View full abstract»

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  • Application of Recurrent Neural Network for Generating Grayscale Digital Half-Tone Images

    Publication Year: 2011, Page(s):41 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (755 KB) | HTML iconHTML

    Clustered dot ordered dithering (CDOD) is one paradigm of digital half-toning that is employed for systems which cannot produce more than two levels at display. The conventional CDOD results in major limitations i.e. visually objectionable periodic patterns, false contouring and blurred appearance of the half-tone images. Cluster generation using artificial intelligence may be a potential solution... View full abstract»

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  • Intelligent Tutoring of School Level Geometry Using Automatic Text to Diagram Conversion Utility

    Publication Year: 2011, Page(s):45 - 48
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (245 KB) | HTML iconHTML

    This paper reports a novel text-to-diagram conversion mechanism that simulates human approach of solving a geometry problem stated in English. Thereby it establishes an implement-able framework towards developing intelligent CBT tool for school-level geometry problems. Realization of the framework involves building of a geometry knowledge base and application of many aspects of natural language un... View full abstract»

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  • Speech/Music Classification Using Empirical Mode Decomposition

    Publication Year: 2011, Page(s):49 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (170 KB) | HTML iconHTML

    Audio classification serves as the fundamental step towards application like content based audio retrieval. In this work, we have tried to exploit the inherent difference in the composition of speech and music signal. A music signal has richer frequency component in comparison to speech signal. Energy distribution of speech and music signal also reflects a pattern that can be used to differentiate... View full abstract»

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  • Using Negative Information in Search

    Publication Year: 2011, Page(s):53 - 56
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (270 KB) | HTML iconHTML

    Consider a user searching for information on the World Wide Web. If the information need of the user is somewhat specific, and if the user is permitted to provide a detailed description of his precise need, then it is quite likely that this description will include negative constraints, i.e., specifications of what the user is 'not' looking for. A search engine that makes use of such constraints i... View full abstract»

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  • Web Text Classification Using a Neural Network

    Publication Year: 2011, Page(s):57 - 60
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (247 KB) | HTML iconHTML

    A web text classification method using a neural network is presented here. The proposed method can classify a set of English text documents into a number of given classes depending on their contents where the number of such classes is not known a priori. Text documents, internet edition of news paper, from various faculties of games and sports are considered for experimentation. The method is foun... View full abstract»

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  • A Derivative-Based Approach for QT-Segment Feature Extraction in Digitized ECG Record

    Publication Year: 2011, Page(s):63 - 66
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB) | HTML iconHTML

    Automatic electrocardiogram analysis using different signal processing technique is one of the prominent areas of research in biomedical engineering. This paper illustrates a simple approach for time plane feature extraction in the QT segment. At first, the R peaks are accurately determined using a simple derivative-based approach and hence heart rate is calculated. Next, the baseline points of al... View full abstract»

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  • An ECG Data Compression Method via Standard Deviation and ASCII Character Encoding

    Publication Year: 2011, Page(s):67 - 70
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (305 KB) | HTML iconHTML

    In the present paper, a software based effective ECG data compression algorithm is proposed. The whole algorithm is written in C- platform. The algorithm is tested on various ECG data of all the 12 leads taken from PTB Diagnostic ECG Database (PTB-DB). In this compression methodology, individual standard deviation of each part of the signal is calculated at first. To achieve a strict loss less com... View full abstract»

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  • Determination of Stability of Dental Implant from Impedance Studies Using Resonance Frequency Analysis

    Publication Year: 2011, Page(s):71 - 74
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB) | HTML iconHTML

    A new method is being proposed in this paper to ascertain the stability of the dental implant after its placement in situ. One of the established methods of doing this is by monitoring the change of resonance frequency of the system with time which is typically referred to as Resonance Frequency Analysis [1]. Traditionally, the resonance frequency is identified from the magnitude of measured volta... View full abstract»

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