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检索条件"机构=Information Technology and Computer Science Program"

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A Security Coordination Model for an Inter-Organizational information Incidents Response Supporting Forensic Process

A Security Coordination Model for an Inter-Organizational In...

引用

International Conference on Networked Computing and Advanced information Management (NCM)

作者： Kimoon Jeong Junhyung Park Minsoo Kim Bongnam Noh Interdisciplinary Program of Information Security Chonnam National University South Korea Division of Electronics Computer & Information Engineering Chonnam National University South Korea Korea Institute of Science and Technology Information South Korea Department of Information Security Mokpo National University South Korea

The high cost for information security incident response makes organizations hesitate to possess their own expert security team. Also organizations are still reluctant to share their own security circumstances with external organizations. By the way, they hope experts will help to defend against cyber threats without losing their reputations. To satisfy these requests of organizations, we propose a security coordination model that supports security incidents response in an organizational architecture, in this paper. Besides, our model has cyber forensic functions for collecting digital evidences from real time monitoring and on-site investigation of the incidents and reporting the analysis results to authorized organizations effectively.

关键词： Security Organizations Monitoring Real time systems information security computer architecture Law enforcement

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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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Overcoming Bandwidth and Satellite Communications Limitations to Accelerate Applications of Remote Sensing and High Performance Computing for Sustainable African Development: Contributions from Egypt, Nigeria and South Africa

Overcoming Bandwidth and Satellite Communications Limitation...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Gilbert L. Rochon Magdy Wahab Gamal El Afandi Ado Dan-Isa Happy Sithole Khomotso Kganyago Souleymane Fall Joseph Quansah Akilah Martin Bereket Araya Chetan Maringanti Cliff Robinson Kaiem L. Frink Jean Pierre Antelo Rosen Center for Advanced Computing Purdue Terrestrial Observatory Purdue University-Information Technology IN USA Department of Astronomy & Meteorology Faculty of Science Cairo University Cairo Egypt Department of Meteorology & Astronomy Al-Azhar University Cairo Egypt Department of Computer Engineering Bayero University Kano Nigeria Center for High Performance Computing CHCP-CSIRO Cape Town South Africa Department of Agricultural & Biological Engineering Purdue University West Lafayette IN USA School for New Learning De Paul University Chicago IL USA Purdue Research Opportunities Program West Lafayette IN USA

Sixty-two years after the first photos of earth taken by a camera aboard a V-2 rocket in October, 1946, and forty-eight years since the first CORONA satellite images were captured, the status of remote sensing research and applications within the African continent has made dramatic progress. Many African countries now have remote sensing research centers, within government agencies, research institutes and universities. Some countries in Africa currently have earth observing and/or telecommunications satellites in orbit and/or have such assets in various planning stages. The authors document such progress, in addition to the constraints to further applications of remote sensing for sustainable development in Africa, with special reference to data distribution constraints. Moreover, the authors address the urgency for bandwidth improvements within the African continent, so as to enable sustainable development initiatives to benefit from advances in high performance computing, required for ab initio near-real-time analysis of satellite-data. Such capabilities, it is argued, are propaedeutic for time-critical initiatives, such as vulnerability assessment, disaster preparedness and mitigation, emergency response, humanitarian assistance and post-calamity reconstruction, associated with a wide array of biogenic and anthropogenic disasters. Case studies of advances in infrastructure for satellite remote sensing and high performance computing, with implications for sustainable development in Africa, are provided from Egypt, Nigeria and South Africa.

关键词： Bandwidth Satellite communication Acceleration Remote sensing High performance computing Africa Sustainable development Earth Continents Cameras

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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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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 Education Conference (FIE 2007), vol.2

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

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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Frontiers in Education (FIE) Conference

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

关键词： Predictive models Bayesian methods Logistics Accuracy Resource management Probability Error analysis Neural networks Regression tree analysis computer science

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A deliberate integration of information technology into the classroom

A deliberate integration of information technology into the ...

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114th Annual ASEE Conference and Exposition, 2007

作者： Fairfax, Duane Huggins, Kevin Goda, Bryan USMA United States Computer Science Program US Military Academy United States IEEE Department of Electrical Engineering and Computer Science US Military Academy at West Point United States Association for Computing Machinery Institute of Electrical and Electronic Engineers Information Technology Program US Military Academy United States

The information Age has revolutionized the way students learn in the classroom. The United States Military Academy (USMA) emphasizes the importance of information technology (IT) through an academy-wide IT specific goal. This goal supports the USMA's mission of producing Army Officers who can respond effectively to technological changes in the defense of our nation. Courses augmented with IT can be daunting for cadets who lack the experience and confidence level to succeed in the course. As a result, these types of courses are avoided by cadets if at all possible. This is not an option for an aspiring officer who will lead the soldiers of tomorrow on a digitized battlefield. Since 1990, cadets have been issued a computer which has played a central role in bringing the power of IT to all graduates of the Military Academy. Integration of IT in the curriculum begins early with every cadet receiving a laptop computer. An integrated software package is included to support any course of instruction. Cadets receive two courses in IT, one in their freshman year and one in their junior year. The freshman course teaches the cadet the basic functionality of the laptop, a basic programming language, and creating a basic website. The junior course builds on the freshman course by teaching the cadets to create an advanced website, design and build a network, manage a database, and create an information system. IT plays a central role in several overlap courses between engineering and the humanities in such areas as information warfare, terrorism, and the legal aspects of intellectual property rights. What makes this approach unique is the methodical diffusion of IT into course design which removes the barrier between learning and the implementation of IT as an academic multiplier. An academy-wide committee consisting of 12 members is responsible for examining collected data to see how well the Military Academy is meeting its LT goal. This data comes from a variety of sources such

关键词： information technology

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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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Frontiers in Education (FIE) Conference

作者： Nguyen Thai Nghe Paul Janecek Peter Haddawy Computer Science and Information Management Program Asian Institute of Technology Thailand Cantho University Vietnam

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： Performance analysis Data mining Decision trees Bayesian methods Prediction algorithms Accuracy Scholarships Predictive models information analysis Algorithm design and analysis

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