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Steganography in Thai text

Steganography in Thai text

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International Conference on Electrical Engineering/Electronics, computer, Telecommunications and information technology, ECTI-CON

作者： Natthawut Samphaiboon Matthew N. Dailey Computer Science and Information Management Asian Institute of Technology Klong Luang Pathum Thani Thailand

Steganography, or communication through covert channels, is desirable when the mere existence of an encrypted message might provide useful information to eavesdroppers. Text is ideal for steganography due to its ubiquity. However, text communication channels do not necessarily provide sufficient redundancy for covert communication. We propose a steganographic scheme for Thai plain text documents that exploits redundancies in the way particular vowel, diacritical, and tonal symbols are composed in TIS-620, the standard Thai character set. The scheme is blind in that the original carrier text is not required for decoding. In an experimental evaluation, we find that the message embedding scheme allows 2.2 bytes of embedded covert text per kilobyte of carrier text on average, and that the document modifications are unnoticeable by casual observers. The method is thus a practical and effective method for covert communication over Thai plain text channels.

关键词： Redundancy Encoding Decoding Approximation algorithms Cryptography Observers Watermarking

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ERP application development frameworks: Case study and evaluation

ERP application development frameworks: Case study and evalu...

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International Conference on Electrical Engineering/Electronics, computer, Telecommunications and information technology, ECTI-CON

作者： Nattanicha Rittammanart Wisut Wongyued Matthew N. Dailey Computer Science and Information Management Asian Institute of Technology Pathum Thani Thailand GismoGears Company Limited Chiang Mai Thailand

Enterprise resource planning (ERP) software brings many benefits to an organization, but commercial software is expensive. Smaller organizations may prefer free and open source solutions but are faced with an enormous array of options from different vendors. One of the most difficult decisions to make is whether to develop software from scratch or to adopt a free and open source ERP framework. To answer this question, we evaluate one of the most popular enterprise software development frameworks, JBoss Seam, and one of the most popular open source frameworks for ERP development, Apache Open for Business. Using a simple real-world application integration problem involving an asset management system and an accounting system as a case study, we compare the frameworks along a number of dimensions. We find that the ERP framework, OFBiz, is the better choice for simple ERP development problems typically encountered in smaller enterprises.

关键词： Business Java Databases Web services Engines Software Servers

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Thai voice application gateway

Thai voice application gateway

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International Conference on Electrical Engineering/Electronics, computer, Telecommunications and information technology, ECTI-CON

作者： Dararut Kaitrungrit Matthew N. Dailey Chai Wutiwiwatchai Computer Science and Information Management Asian Institute of Technology Pathum Thani Thailand Human Language Technology Laboratory NECTEC Pathum Thani Thailand

We propose and implement a low-cost Thai voice gateway that combines current technology in network systems and telephony. It enhances traditional telephony-based applications with access to resources on the Web. The system is based on open standards for speech technology and existing open source software. It supports the VoiceXML markup language for voice dialogs, the MRCP protocol for communication with a speech engine provider, and effectively recognizes and synthesizes Thai speech. The system uses a client/server architecture separated into 3 main modules: the VoiceXML interpreter, the speech engine interface, and the telephone integration system. The current prototype still needs improvement but is functional enough to provide a basis for future enhancement. We have released the system as open source software for interested developers.

关键词： Speech Speech recognition Servers Engines Logic gates Protocols Media

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AINAN: Collaborative Application for Protein Visualization & Analyses

AINAN: Collaborative Application for Protein Visualization &...

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ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Rauf Malick Usama Khanzada Athar Abbas Waheed Iqbal Kamran Azim Computer Science Department Bahria University Karachi Pakistan Computer Science and Information Management Asian Institute of Technology Thailand H. E. J Research Institute of Chemistry University of Karachi Pakistan

ISBN: (纸本)9780769532636

AINAAN is a collaborative application developed for molecular visualization and analysis with multiple view points. The application allows multiple users to view and manipulate single and multiple representations of molecular structures. Network sessions can be initiated by any user over the network. Members over the network can join the session, and the initiator owns the activities of the session. The application provides conventional molecular visualization facilities like rendering, rotation, with different views, along with the usage of protein network stores. Protein store is the repository of the protein structures, alignment results, and movies maintained by each user, which can be shared over the network. Sequence and structural analysis algorithms are also supported in AINAAN. Sessions can be saved by recording events and alignment results for future reference. Large scale study of protein molecular structures will need network views support for comparative analysis.

关键词： Proteins Collaboration Motion pictures Servers Visualization Data visualization Three dimensional displays

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Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system

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作者： Peleg, Mor Wang, Dongwen Fodor, Adriana Keren, Sagi Karnieli, Eddy Department of Management Information Systems University of Haifa Haifa 31905 Israel Biomedical Informatics Program University of Rochester NY United States Institute of Endocrinology Diabetes and Metabolism Rambam Medical Center Israel Galil Center Technion-Israel Institute of Technology Israel Department of Computer Science University of Haifa Israel

ISBN: (纸本)9781586038731

Clinical guidelines usually need to be adapted to fit local practice before they can be actually used by clinicians. Reasons for adaptation include variations of institution setting such as type of practice and location, availability of resources, differences in patient populations, local policies, and practice patterns. When a guideline is implemented for clinical decision support and integrated with an institution's clinical information system, the data model of the local electronic medical record (EMR) and the data actually collected and stored in it also influence the guideline's adaptation. The purpose of this work is: (1) to characterize a tool-supported process for guideline encoding that addresses local adaptation and EMR integration, and (2) to identify the types of changes in guideline encoding during the local adaptation process. © 2008 The authors and IOS Press. All rights reserved.

关键词： Signal encoding

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A decision support system for evaluating international student applications

A decision support system for evaluating international stude...

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37th Annual Frontiers in EducationConference

作者： Hien, Nguyen Thi Ngoc Haddawy, Peter Computer Science and Information Management Program Asian Institute of Technology

ISBN: (纸本)9781424410835

In today's transnational admission environment, evaluating applicant qualifications is becoming increasingly challenging. While standardized tests can be helpful, studies have shown that they are rather noisy predictors of performance. Predicting educational outcome is a viable alternative in such heterogeneous environments. Performance prediction models can be built by applying data mining techniques to enrollment data. In this paper we present an approach to using Bayesian networks to predict graduating cumulative Grade Point Average based on applicant background at the time of admission. While such prediction models can be helpful, their recommendations may not be followed by departmental faculty members making admission decisions if they are presented as black boxes. We thus present a novel approach to deriving a case-based retrieval mechanism from the Bayesian network prediction model in such a way that the similarity measure used by the case-based system is consistent with the predictive model. The case-based component retrieves the past student most similar to the applicant being evaluated. The Bayesian network model is evaluated using stratified ten-fold cross validation.

关键词： Bayesian networks case-based retrieval student evaluation

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Deriving financial aid optimization models from admissions data

Deriving financial aid optimization models from admissions d...

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37th ASEE/IEEE Frontiers in Education Conference, FIE

作者： Van Thanh, Le Haddawy, Peter Asian Institute of Technology Computer Science and Information Management Program

ISBN: (纸本)1424410843

This paper presents a novel approach to deriving probabilistic models that predict enrollment given applicant background and the amount of financial aid offered. Our Bayesian network models can be used to optimize various enrollment objectives. We present a novel efficient optimization algorithm that uses the models to maximize expected tuition revenue under capacity constraints including student-faculty ratio and accommodation. We demonstrate and evaluate our approach using four years of graduate admissions data from the asian institute of technology, consisting of 7,788 applicants from 84 different countries. This data set is particularly challenging since reliable family income data is not available for students from most of these countries. Evaluating the Bayesian network model with 10-fold cross validation yields an ROC Az value of 0.8451, with a predictive accuracy of 82.70% at a threshold of 0.5. Comparing the results of the tuition revenue optimization model to the institute's current financial aid allocation practice shows that if single-term tuition revenue is the sole optimization criterion, the institute can achieve its current enrollment numbers while realizing significant savings in its financial aid budget. The prediction and optimization software is currently being incorporated into the institute's online admissions processing system. ©2007 IEEE.

关键词： Bayesian networks

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A comparative analysis of techniques for predicting academic performance

A comparative analysis of techniques for predicting academic...

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37th Annual Frontiers in EducationConference

作者： Nghe, Nguyen Thai Janecek, Paul Haddawy, Peter Computer Science and Information Management Program Asian Institute of Technology (AIT) 12120 Thailand AIT Thailand Can Tho University Viet Nam

ISBN: (纸本)9781424410835

This paper compares the accuracy of Decision Tree and Bayesian Network algorithms for predicting the academic performance of undergraduate and postgraduate students at two very different academic institutes: Can Tho University (CTU), a large national university in Viet Nam;and the asian institute of technology (AIT), a small international postgraduate institute in Thailand that draws students from 86 different countries. Although the diversity of these two student populations is very different, the data-mining tools were able to achieve similar levels of accuracy for predicting student performance: 73/71% for {fail, fair, good, very good} and 94/93% for {fail, pass} at the CTU/AIT respectively. These predictions are most useful for identifying and assisting failing students at CTU (64% accurate), and for selecting Very Good students for scholarships at the AIT (82% accurate). In this analysis, the Decision Tree was consistently 3-12% more accurate than the Bayesian Network. The results of these case studies give insight into techniques for accurately predicting student performance, compare the accuracy of data mining algorithms, and demonstrate the maturity of open source tools.

关键词： Bayesian Networks data mining Decision Trees prediction

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Visual agent programming (VAP): An interactive system to program animated agents

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Symposium on Human Interface held at the HCI International 2007

作者： Khowaja, Kamran Guha, Sumanta Department of Computer Science Isra University Pakistan Computer Science and Information Management Asian Institute of Technology Thailand

ISBN: (纸本)9783540733447

An interactive system in which the user can program animated agents visually is introduced: the Visual Agent programming (VAP) software provides a GUI to program life-like agents. VAP is superior to currently available systems to program such agents in that it has a richer set of features including automatic compilation, generation, commenting and formatting of code, amongst others. Moreover, a rich error feedback system not only helps the expert programmer, but makes the system particularly accessible to the novice user. The VAP software package is available freely online.

关键词： Intelligent agents

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Perceptual-based region extraction from hand drawn sketches

Perceptual-based region extraction from hand drawn sketches

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3rd IASTED International Conference on Advances in computer science and technology, ACST 2007

作者： Waranusast, Rattapoom Computer Science and Information Management Program Asian Institute of Technology P.O. Box 4 Khlong Luang Pathumthani 12120 Thailand

ISBN: (纸本)9780889866560

Pen-based computing devices have become more popular and more important, because it facilitates a natural way of input to users. To develop pen-based systems, automatic interpretation of sketches is crucial. However, this task is sensitive to drawing styles. This paper proposes a stroke grouping method based on Gestalt theory. The proposed algorithm group strokes into regions, each stroke is split into smaller stroke segments according to its corners and junctions. Then, for every stroke segments that can form closed loops, all possible regions are searched. Applying the notion of law of continuity in Gestalt theory to a set of all possible regions, scores of good continuity and convexity of all regions can be computed. The region with the best score is stored and extracted from the sketch. This iterative process is repeated until no stroke segments are left in the set of closed-loop segments. The algorithm implemented and tested on a tablet PC showed good results.

关键词： Iterative methods

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