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Articles 301 - 330 of 412

Full-Text Articles in Computer Sciences

Case Study On An Investigation Of Information Security Management Among Law Firms, Sameera Mubarak, Elena Sitnikova Dec 2009

Case Study On An Investigation Of Information Security Management Among Law Firms, Sameera Mubarak, Elena Sitnikova

Australian Information Security Management Conference

The integrity of lawyers trust accounts as come under scrutiny in the last few years. There have been many incidents of trust account fraud reported internationally, including a case in Australia, where an employee of a law firm stole $4,500,000 from the trust funds of forty-two clients. Our study involved interviewing principles of ten law companies to find out solicitors’ attitudes to computer security and the possibility of breaches of their trust accounts. An overall finding highlights that law firms were not current with technology to combat computer crime, and inadequate access control was a major concern in safeguarding account …

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Computational Thinking...And Doing, George K. Thiruvathukal Nov 2009

Computational Thinking...And Doing, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

Computing in Science and Engineering, From the Editors

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Universal Design, Education And Technology, Ciaran O'Leary, Damian Gordon Oct 2009

Universal Design, Education And Technology, Ciaran O'Leary, Damian Gordon

9th. IT & T Conference

Universal Design is an approach to design which insists upon the consideration of users with diverse levels of ability. Rather than representing a specialist approach to design, it is recognised that Universal Design results in a better design for all. Furthermore, by isolating design for disability as an independent topic in education, or ignoring it altogether, educators create an exclusionist perception of the role and place of individuals with disability in modern society. Modern education programmes which teach design skills are enhanced in quality by mainstreaming Universal Design as a core topic, permeating all that surrounds it. This paper describes …

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Kiwivault: Encryption Software For Portable Storage Devices, Trevor Bradshaw Florence Aug 2009

Kiwivault: Encryption Software For Portable Storage Devices, Trevor Bradshaw Florence

Theses and Dissertations

While many people use USB flash drives, most do not protect their stored documents. Solutions for protecting flash drives exist but inherently limit functionality found in unprotected drives such as portability, usability, and the ability to share documents between multiple people. In addition, other drawbacks are introduced such as the possibility of losing access to protected documents if a password is lost. Assuming protecting portable documents is important, in order for people to be willing to protect their documents they should be required to make as few sacrifices in functionality as possible. We introduce KiwiVault, a USB flash drive encryption …

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Networks - Ii: Overhead Analysis Of Security Implementation Using Ipsec, Muhammad Awais Azam, Zaka -Ul- Mustafa, Usman Tahir, S. M. Ahsan, Muhammad Adnan Naseem, Imran Rashid, Muhammad Adeel Aug 2009

Networks - Ii: Overhead Analysis Of Security Implementation Using Ipsec, Muhammad Awais Azam, Zaka -Ul- Mustafa, Usman Tahir, S. M. Ahsan, Muhammad Adnan Naseem, Imran Rashid, Muhammad Adeel

International Conference on Information and Communication Technologies

Authentication, access control, encryption and auditing make up the essential elements of network security. Researchers have dedicated a large amount of efforts to implement security features that fully incorporate the use of all these elements. Currently, data networks mainly provide authentication and confidentiality services. Confidentiality alone is not able to protect the system, thus, suitable security measures must be taken. However, this security is itself an overhead which must be accounted for. A trade-off must exist between performance and security. This trade-off must be carefully managed so as not to deteriorate the systems being secured. This calls for the true …

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Artificial Intelligence – I: Subjective Decision Making Using Type-2 Fuzzy Logic Advisor, Owais Malik Aug 2009

Artificial Intelligence – I: Subjective Decision Making Using Type-2 Fuzzy Logic Advisor, Owais Malik

International Conference on Information and Communication Technologies

In this paper, we present and compare two-stage type-2 fuzzy logic advisor (FLA) for subjective decision making in the domain of students' performance evaluation. We test our proposed model for evaluating students' performance in our computer science and engineering department at HBCC/KFUPM in two domains namely cooperating training and capstone/senior project assessment where we find these FLAs very useful and promising. In our proposed model, the assessment criteria for different components of cooperative training and senior project are transformed into linguistic labels and evaluation information is extracted into the form of IF-THEN rules from the experts. These rules are modeled …

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Introducing Computing Now, George K. Thiruvathukal Jul 2009

Introducing Computing Now, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

One of Computing Now's editorial board members talks about this IEEE Computer Society initiative and all that it has to offer members and nonmembers alike.

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Concernlines: A Timeline View Of Co-Occurring Concerns, Christoph Treude, Margaret-Anne Storey May 2009

Concernlines: A Timeline View Of Co-Occurring Concerns, Christoph Treude, Margaret-Anne Storey

Research Collection School Of Computing and Information Systems

Understanding the evolution of a software system requires understanding how information about the release history, non-functional requirements and project milestones relates to functional requirements on the software components. This short paper describes a new tool, called CONCERNLINES, that supports this cognitive process by visualizing co-occurring concerns over time.

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How Tagging Helps Bridge The Gap Between Social And Technical Aspects In Software Development, Christoph Treude, Margaret-Anne Storey May 2009

How Tagging Helps Bridge The Gap Between Social And Technical Aspects In Software Development, Christoph Treude, Margaret-Anne Storey

Research Collection School Of Computing and Information Systems

Empirical research on collaborative software development practices indicates that technical and social aspects of software development are often intertwined. The processes followed are tacit and constantly evolving, thus not all of them are amenable to formal tool support. In this paper, we explore how ldquotaggingrdquo, a lightweight social computing mechanism, is used to bridge the gap between technical and social aspects of managing work items. We present the results from an empirical study on how tagging has been adopted and adapted over the past two years of a large project with 175 developers. Our research shows that the tagging mechanism …

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Python As A Teaching Tool, Jason Schultz Apr 2009

Python As A Teaching Tool, Jason Schultz

Honors Capstones

Capstone submitted as a graduate requirement for the BSU Honors Program.

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An Analysis Of Document Retrieval And Clustering Using An Effective Semantic Distance Measure, Nathan Scott Davis Nov 2008

An Analysis Of Document Retrieval And Clustering Using An Effective Semantic Distance Measure, Nathan Scott Davis

Theses and Dissertations

As large amounts of digital information become more and more accessible, the ability to effectively find relevant information is increasingly important. Search engines have historically performed well at finding relevant information by relying primarily on lexical and word based measures. Similarly, standard approaches to organizing and categorizing large amounts of textual information have previously relied on lexical and word based measures to perform grouping or classification tasks. Quite often, however, these processes take place without respect to semantics, or word meanings. This is perhaps due to the fact that the idea of meaningful similarity is naturally qualitative, and thus difficult …

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Teaching Successful "Real-World" Software Engineering To The "Net" Generation: Process And Quality Win!, William L. Honig Apr 2008

Teaching Successful "Real-World" Software Engineering To The "Net" Generation: Process And Quality Win!, William L. Honig

Computer Science: Faculty Publications and Other Works

Software engineering skills are critical for students seeking careers as software developers. However, academic course content often fails to teach practical, "real-world" software engineering as it is done in large organizations. Further, the proclivities of the current generation leave students disinclined to the disciplines of process and quality. Academics seldom use the Team Software Process (TSP), a leading methodology of global industries. Four years of data indicate that student teams using TSP can achieve industry levels of productivity and reasonable quality levels. Further, results from 23 teams and over 200 students indicate that these Net-Generation students developed an understanding for …

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Combining Soa And Bpm Technologies For Cross-System Process Automation, Sebastian Herr, John Shafaee, Konstantin Läufer, George K. Thiruvathukal, Guido Wirtz Jan 2008

Combining Soa And Bpm Technologies For Cross-System Process Automation, Sebastian Herr, John Shafaee, Konstantin Läufer, George K. Thiruvathukal, Guido Wirtz

Computer Science: Faculty Publications and Other Works

This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges …

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Examining Granular Computing From A Modeling Perspective, Ying Xie, Jayasimha R. Katukuri, Vijay V. Raghavan Jan 2008

Examining Granular Computing From A Modeling Perspective, Ying Xie, Jayasimha R. Katukuri, Vijay V. Raghavan

Faculty Articles

In this paper, we use a set of unified components to conduct granular modeling for problem solving paradigms in several fields of computing. Each identified component may represent a potential research direction in the field of granular computing. A granular computing model for information analysis is proposed. The model may suggest that granular computing is an instrument for implementing perception based computing based on numeric computing. In addition, a novel granular language modeling technique is proposed for information extraction from web pages. This paper also suggests that the study of data mining in the framework of granular computing may address …

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Expanding The Database Curriculum, Meg Murray, Mario Guimaraes Jan 2008

Expanding The Database Curriculum, Meg Murray, Mario Guimaraes

Faculty Articles

As database concepts and technologies continue to evolve there exists a need to expand the topics included in database curricula. This is challenging given the restraints on the number of courses that can be included in a typical CS or IS program. While a set of commonly identified core concepts and principles exists, there is little consensus on what supplemental materials should be included in database courses. Through an NSF proof-of-concept grant, we designed and developed courseware incorporating the use of animations to deepen and enrich standard presentations of core database concepts and to complement database teachings as found in …

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Emergent Behavior In Massively-Deployed Sensor Networks, Ekaterina Shurkova, Ruzana Ishak, Stephan Olariu, Shaharuddin Salleh Jan 2008

Emergent Behavior In Massively-Deployed Sensor Networks, Ekaterina Shurkova, Ruzana Ishak, Stephan Olariu, Shaharuddin Salleh

Computer Science Faculty Publications

The phenomenal advances in MEMS and nanotechnology make it feasible to build small devices, referred to as sensors that are able to sense, compute and communicate over small distances. The massive deployment of these small devices raises the fascinating question of whether or not the sensors, as a collectivity, will display emergent behavior, just as living organisms do. In this work we report on a recent effort intended to observe emerging behavior of large groups of sensor nodes, like living cells demonstrate. Imagine a massive deployment of sensors that can be in two states "red" and "blue". At deployment time …

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Learner-Centered Assignments In Computer Literacy, Martha E. Myers, Meg C. Murray, Mario Guimaraes, Debra B. Geist Dec 2007

Learner-Centered Assignments In Computer Literacy, Martha E. Myers, Meg C. Murray, Mario Guimaraes, Debra B. Geist

Faculty Articles

Literacy is a concept that is understood to be the identifier of an educated populace. In today's world, literacy includes computer literacy, as well as language and quantitative literacy. This paper describes exercises developed to improve first year students' computer literacy through more learner-centered engagement. Exercises are designed to support learner-centered goals of independent and responsible learners, appropriate breadth and depth of content, teacher as facilitator, and assessment woven into learning. Exercise topics include purchase of a personal computer, basic logic via spreadsheets, an annotated bibliography built with electronic resources, and an integrated assignment customized by and for each student.

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A Direct Algorithm For The K-Nearest-Neighbor Classifier Via Local Warping Of The Distance Metric, Tohkoon Neo Nov 2007

A Direct Algorithm For The K-Nearest-Neighbor Classifier Via Local Warping Of The Distance Metric, Tohkoon Neo

Theses and Dissertations

The k-nearest neighbor (k-NN) pattern classifier is a simple yet effective learner. However, it has a few drawbacks, one of which is the large model size. There are a number of algorithms that are able to condense the model size of the k-NN classifier at the expense of accuracy. Boosting is therefore desirable for increasing the accuracy of these condensed models. Unfortunately, there does not exist a boosting algorithm that works well with k-NN directly. We present a direct boosting algorithm for the k-NN classifier that creates an ensemble of models with locally modified distance weighting. An empirical study conducted …

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Back-Up Server For Computer Science Department, Victoria Gaylord Oct 2007

Back-Up Server For Computer Science Department, Victoria Gaylord

Mahurin Honors College Capstone Experience/Thesis Projects

Because Western Kentucky University does not maintain a back-up system for its departments, the Computer Science Department has implemented its own. Using Bacula software on a Unix server, files from faculty desktop computers and servers are backed up to a tape drive on a daily basis. The server is protected from outside threats with a carefully configured firewall script. This paper explains how both the firewall and the back-up software were implemented and how successful that implementation has been.

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A Classroom Outsourcing Experience For Software Engineering Learning, William L. Honig, Tejasvini Prasad Sep 2007

A Classroom Outsourcing Experience For Software Engineering Learning, William L. Honig, Tejasvini Prasad

Computer Science: Faculty Publications and Other Works

Outsourcing of software development is a key part of globalization, oft misunderstood by computer science students, and possibly a cause of declining enrollments in the field. The authors developed and implemented an outsourcing experience for students in an advanced software engineering course. Student teams at two universities developed game playing programs and outsourced key parts of their systems to the other university. Results show students improved their understanding of outsourcing, developed better appreciation for the importance of software engineering techniques, and created ad hoc communication protocols between teams. The paper concludes with recommendations for expanding the approach used to other …

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Critical Thinking Traits Of Top-Tier Experts And Implications For Computer Science Education, Dean Bushey Aug 2007

Critical Thinking Traits Of Top-Tier Experts And Implications For Computer Science Education, Dean Bushey

All Dissertations

A documented shortage of technical leadership and top-tier performers in
computer science jeopardizes the technological edge, security, and economic well-being of the nation. The 2005 President's Information and Technology Advisory Committee (PITAC) Report on competitiveness in computational sciences highlights the major impact of science, technology, and innovation in keeping America competitive in the global marketplace. It stresses the fact that the supply of science, technology, and engineering experts is at the core
of America's technological edge, national competitiveness and security. However, recent data shows that both undergraduate and postgraduate production of computer scientists is falling.

Past research on expert performance …

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Obstacle Avoidance And Path Traversal Using Interactive Machine Learning, Jonathan M. Turner Jul 2007

Obstacle Avoidance And Path Traversal Using Interactive Machine Learning, Jonathan M. Turner

Theses and Dissertations

Recently there has been a growing interest in using robots in activities that are dangerous or cost prohibitive for humans to do. Such activities include military uses and space exploration. While robotic hardware is often capable of being used in these types of situations, the ability of human operators to control robots in an effective manner is often limited. This deficiency is often related to the control interface of the robot and the level of autonomy that control system affords the human operator. This thesis describes a robot control system, called the safe/unsafe system, which gives a human operator the …

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Residual-Based Measurement Of Peer And Link Lifetimes In Gnutella Networks, Xiaoming Wang, Zhongmei Yao, Dmitri Loguinov May 2007

Residual-Based Measurement Of Peer And Link Lifetimes In Gnutella Networks, Xiaoming Wang, Zhongmei Yao, Dmitri Loguinov

Computer Science Faculty Publications

Existing methods of measuring lifetimes in P2P systems usually rely on the so-called create-based method (CBM), which divides a given observation window into two halves and samples users "created" in the first half every Delta time units until they die or the observation period ends. Despite its frequent use, this approach has no rigorous accuracy or overhead analysis in the literature. To shed more light on its performance, we flrst derive a model for CBM and show that small window size or large Delta may lead to highly inaccurate lifetime distributions. We then show that create-based sampling exhibits an inherent …

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On Node Isolation Under Churn In Unstructured P2p Networks With Heavy-Tailed Lifetimes, Zhongmei Yao, Xiaoming Wang, Dmitri Loguinov May 2007

On Node Isolation Under Churn In Unstructured P2p Networks With Heavy-Tailed Lifetimes, Zhongmei Yao, Xiaoming Wang, Dmitri Loguinov

Computer Science Faculty Publications

Previous analytical studies [12], [18] of unstructured P2P resilience have assumed exponential user lifetimes and only considered age-independent neighbor replacement. In this paper, we overcome these limitations by introducing a general node-isolation model for heavy-tailed user lifetimes and arbitrary neighbor-selection algorithms. Using this model, we analyze two age-biased neighbor-selection strategies and show that they significantly improve the residual lifetimes of chosen users, which dramatically reduces the probability of user isolation and graph partitioning compared to uniform selection of neighbors. In fact, the second strategy based on random walks on age-weighted graphs demonstrates that for lifetimes with infinite variance, the system …

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On-The-Fly Dynamic Dead Variable Analysis, Joel P. Self Mar 2007

On-The-Fly Dynamic Dead Variable Analysis, Joel P. Self

Theses and Dissertations

State explosion in model checking continues to be the primary obstacle to widespread use of software model checking. The large input ranges of variables used in software is the main cause of state explosion. As software grows in size and complexity the problem only becomes worse. As such, model checking research into data abstraction as a way of mitigating state explosion has become more and more important. Data abstractions aim to reduce the effect of large input ranges. This work focuses on a static program analysis technique called dead variable analysis. The goal of dead variable analysis is to discover …

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System For Collision Detection Between Deformable Models Built On Axis Aligned Bounding Boxes And Gpu Based Culling, David Owen Tuft Jan 2007

System For Collision Detection Between Deformable Models Built On Axis Aligned Bounding Boxes And Gpu Based Culling, David Owen Tuft

Theses and Dissertations

Collision detection between deforming models is a difficult problem for collision detection systems to handle. This problem is even more difficult when deformations are unconstrained, objects are in close proximity to one another, and when the entity count is high. We propose a method to perform collision detection between multiple deforming objects with unconstrained deformations that will give good results in close proximities. Currently no systems exist that achieve good performance on both unconstrained triangle level deformations and deformations that preserve edge connectivity. We propose a new system built as a combination of Graphics Processing Unit (GPU) based culling and …

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Implicit Affinity Networks, Matthew Scott Smith Jan 2007

Implicit Affinity Networks, Matthew Scott Smith

Theses and Dissertations

Although they clearly exist, affinities among individuals are not all easily identified. Yet, they offer unique opportunities to discover new social networks, strengthen ties among individuals, and provide recommendations. We propose the idea of Implicit Affinity Networks (IANs) to build, visualize, and track affinities among groups of individuals. IANs are simple, interactive graphical representations that users may navigate to uncover interesting patterns. This thesis describes a system supporting the construction of IANs and evaluates it in the context of family history and online communities.

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Applying The Levels Of Conceptual Interoperability Model In Support Of Integratability, Interoperability, And Composability For System-Of-Systems Engineering, Andreas Tolk, Saikou Y. Diallo, Charles D. Turnitsa Jan 2007

Applying The Levels Of Conceptual Interoperability Model In Support Of Integratability, Interoperability, And Composability For System-Of-Systems Engineering, Andreas Tolk, Saikou Y. Diallo, Charles D. Turnitsa

Computational Modeling & Simulation Engineering Faculty Publications

The Levels of Conceptual Interoperability Model (LCIM) was developed to cope with the different layers of interoperation of modeling & simulation applications. It introduced technical, syntactic, semantic, pragmatic, dynamic, and conceptual layers of interoperation and showed how they are related to the ideas of integratability, interoperability, and composability. The model was successfully applied in various domains of systems, cybernetics, and informatics.

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A Model-Driven Approach To Job/Task Composition In Cluster Computing, Yogesh Kanitkar, Konstantin Läufer, Neeraj Mehta, George K. Thiruvathukal Jan 2007

A Model-Driven Approach To Job/Task Composition In Cluster Computing, Yogesh Kanitkar, Konstantin Läufer, Neeraj Mehta, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

In the general area of high-performance computing, object-oriented methods have gone largely unnoticed. In contrast, the Computational Neighborhood (CN), a framework for parallel and distributed computing with a focus on cluster computing, was designed from ground up to be object-oriented. This paper describes how we have successfully used UML in the following model-driven, generative approach to job/task composition in CN. We model CN jobs using activity diagrams in any modeling tool with support for XMI, an XML-based external representation of UML models. We then export the activity diagrams and use our XSLT-based tool to transform the resulting XMI representation to …

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Modeling Heterogeneous User Churn And Local Resilience Of Unstructured P2p Networks, Zhongmei Yao, Derek Leonard, Dmitri Loguinov, Xiaoming Wang Nov 2006

Modeling Heterogeneous User Churn And Local Resilience Of Unstructured P2p Networks, Zhongmei Yao, Derek Leonard, Dmitri Loguinov, Xiaoming Wang

Computer Science Faculty Publications

Previous analytical results on the resilience of unstructured P2P systems have not explicitly modeled heterogeneity of user churn (i.e., difference in online behavior) or the impact of in-degree on system resilience. To overcome these limitations, we introduce a generic model of heterogeneous user churn, derive the distribution of the various metrics observed in prior experimental studies (e.g., lifetime distribution of joining users, joint distribution of session time of alive peers, and residual lifetime of a randomly selected user), derive several closed-form results on the transient behavior of in-degree, and eventually obtain the joint in/out degree isolation probability as a simple …

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