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2008

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Articles 1231 - 1260 of 1335

Full-Text Articles in Computer Sciences

Fuzzy Content Mining For Targeted Advertisement, Yezhou Wang Jan 2008

Fuzzy Content Mining For Targeted Advertisement, Yezhou Wang

Master's Projects

Content-targeted advertising system is becoming an increasingly important part of the funding source of free web services. Highly efficient content analysis is the pivotal key of such a system. This project aims to establish a content analysis engine involving fuzzy logic that is able to automatically analyze real user-posted Web documents such as blog entries. Based on the analysis result, the system matches and retrieves the most appropriate Web advertisements. The focus and complexity is on how to better estimate and acquire the keywords that represent a given Web document. Fuzzy Web mining concept will be applied to synthetically consider …

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Fuzzy Range Query In Xml, Dexiong Zhang Jan 2008

Fuzzy Range Query In Xml, Dexiong Zhang

Master's Projects

This writing project presents a new approach to implement a fuzzy range query solution for retrieving Extensible Markup Language (XML) data. Ever since XML was introduced, it has become a web standard to describe data on the Internet. The need for performing range query against XML data is growing day by day. Many search service providers are eager to improve their solutions on range query against XML data. The project studies and analyzes the limitations on the current range query solutions. The project also proposes a new solution using fuzzy semantic analysis to quantify XML data so that it can …

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Energy Efficient Clustering And Secure Data Aggregation In Wireless Sensor Networks, Julia Albath Jan 2008

Energy Efficient Clustering And Secure Data Aggregation In Wireless Sensor Networks, Julia Albath

Doctoral Dissertations

"Communication consumes the majority of a wireless sensor network's limited energy. There are several ways to reduce the communication cost. Two approaches used in this work are clustering and in-network aggregation. The choice of a cluster head within each cluster is important because cluster heads use additional energy for their responsibilities and that burden needs to be carefully distributed. We introduce the energy constrained minimum dominating set (ECDS) to model the problem of optimally choosing cluster heads in the presence of energy constraints. We show its applicability to sensor networks and give an approximation algorithm of O(log n) for solving …

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Business-Oriented Software Process Improvement Based On Cmm And Cmmi Using Qfd, Yan Sun Jan 2008

Business-Oriented Software Process Improvement Based On Cmm And Cmmi Using Qfd, Yan Sun

Doctoral Dissertations

"Software Process Improvement (SPI) has become the key to the survival of many software development organizations. Many international SPI models/standards are developed for SPI. The Capability Maturity Model (CMM) and Capability Maturity Model Integrated (CMMI)) from the Software Engineering Institute are two SPI models. In this study, several existing SPI models and approaches are reviewed, their advantages are identified, and their drawbacks are discussed. A set of new SPI frameworks integrating Quality Function Deployment (QFD) with both CMM and CMMI are developed by combining the best features of previous approaches and addressing their limitations"--Abstract, page iii.

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The State Of Public Access To Federal Government Databases Detailed In Recommended New Book, Jennifer L. Behrens Jan 2008

The State Of Public Access To Federal Government Databases Detailed In Recommended New Book, Jennifer L. Behrens

Faculty Scholarship

No abstract provided.

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The Osi Network Management Model - Capacity And Performance Management, Chompu Nuangjamnong, Stanislaw P. Maj, David Veal Jan 2008

The Osi Network Management Model - Capacity And Performance Management, Chompu Nuangjamnong, Stanislaw P. Maj, David Veal

Research outputs pre 2011

With the rapid growth of large enterprise networks, capacity and performance management issues are becoming increasingly important to both business organizations and the telecommunication industry. Capacity and performance management techniques and methods provide guidance on how to plan, justify and manage network resources. Inappropriate planning for capacity and performance may lead to wasted resources resulting in unnecessary cost, or lack of resources resulting in poor network performance or even the unavailability of IT services. Moreover, it is not uncommon for networks to be equipped with devices from different vendors which potentially add to complexity. Resource management may be assisted by …

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Table Of Contents Jan 2008

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

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Developing A Process Model For The Forensic Extraction Of Information From Desktop Search, Timothy Pavlic, Jill Slay, Benjamin Turnbull Jan 2008

Developing A Process Model For The Forensic Extraction Of Information From Desktop Search, Timothy Pavlic, Jill Slay, Benjamin Turnbull

Journal of Digital Forensics, Security and Law

Desktop search applications can contain cached copies of files that were deleted from the file system. Forensic investigators see this as a potential source of evidence, as documents deleted by suspects may still exist in the cache. Whilst there have been attempts at recovering data collected by desktop search applications, there is no methodology governing the process, nor discussion on the most appropriate means to do so. This article seeks to address this issue by developing a process model that can be applied when developing an information extraction application for desktop search applications, discussing preferred methods and the limitations of …

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Table Of Contents Jan 2008

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

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Book Review: Guide To Computer Forensics And Investigations (3rd Ed.), Keyu Jiang, Ruifeng Xuan Jan 2008

Book Review: Guide To Computer Forensics And Investigations (3rd Ed.), Keyu Jiang, Ruifeng Xuan

Journal of Digital Forensics, Security and Law

No abstract provided.

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An Evaluation Of Windows-Based Computer Forensics Application Software Running On A Macintosh, Gregory H. Carlton Jan 2008

An Evaluation Of Windows-Based Computer Forensics Application Software Running On A Macintosh, Gregory H. Carlton

Journal of Digital Forensics, Security and Law

The two most common computer forensics applications perform exclusively on Microsoft Windows Operating Systems, yet contemporary computer forensics examinations frequently encounter one or more of the three most common operating system environments, namely Windows, OS-X, or some form of UNIX or Linux. Additionally, government and private computer forensics laboratories frequently encounter budget constraints that limit their access to computer hardware. Currently, Macintosh computer systems are marketed with the ability to accommodate these three common operating system environments, including Windows XP in native and virtual environments. We performed a series of experiments to measure the functionality and performance of the two …

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Data Mining Techniques In Fraud Detection, Rekha Bhowmik Jan 2008

Data Mining Techniques In Fraud Detection, Rekha Bhowmik

Journal of Digital Forensics, Security and Law

The paper presents application of data mining techniques to fraud analysis. We present some classification and prediction data mining techniques which we consider important to handle fraud detection. There exist a number of data mining algorithms and we present statistics-based algorithm, decision treebased algorithm and rule-based algorithm. We present Bayesian classification model to detect fraud in automobile insurance. Naïve Bayesian visualization is selected to analyze and interpret the classifier predictions. We illustrate how ROC curves can be deployed for model assessment in order to provide a more intuitive analysis of the models.

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Book Review: Challenges To Digital Forensic Evidence, Gary C. Kessler Jan 2008

Book Review: Challenges To Digital Forensic Evidence, Gary C. Kessler

Journal of Digital Forensics, Security and Law

This issue presents the fifth Book Review column for the JDFSL. It is an experiment to broaden the services that the journal provides to readers, so we are anxious to get your reaction. Is the column useful and interesting? Should we include more than one review per issue? Should we also review products? Do you have suggested books/products for review and/or do you want to write a review? All of this type of feedback -- and more -- is appreciated. Please feel free to send comments to Gary Kessler ([email protected]) or Glenn S. Dardick ([email protected]).

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Book Review: The Dotcrime Manifesto: How To Stop Internet Crime, Gary C. Kessler Jan 2008

Book Review: The Dotcrime Manifesto: How To Stop Internet Crime, Gary C. Kessler

Journal of Digital Forensics, Security and Law

No abstract provided.

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The 2007 Analysis Of Information Remaining On Disks Offered For Sale On The Second Hand Market, Andy Jones, Craig Valli, Glenn S. Dardick, Iain Sutherland Jan 2008

The 2007 Analysis Of Information Remaining On Disks Offered For Sale On The Second Hand Market, Andy Jones, Craig Valli, Glenn S. Dardick, Iain Sutherland

Journal of Digital Forensics, Security and Law

All organisations, whether in the public or private sector, increasingly use computers and other devices that contain computer hard disks for the storage and processing of information relating to their business, their employees or their customers. Individual home users also increasingly use computers and other devices containing computer hard disks for the storage and processing of information relating to their private, personal affairs. It continues to be clear that the majority of organisations and individual home users still remain ignorant or misinformed of the volume and type of information that is stored on the hard disks that these devices contain …

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To License Or Not To License: An Examination Of State Statutes Regarding Private Investigators And Digital Examiners, Thomas Lonardo, Doug White, Alan Rea Jan 2008

To License Or Not To License: An Examination Of State Statutes Regarding Private Investigators And Digital Examiners, Thomas Lonardo, Doug White, Alan Rea

Journal of Digital Forensics, Security and Law

In this paper the authors examine statutes that regulate, license, and enforce investigative functions in each US state. After identification and review of Private Investigator licensing requirements, the authors find that very few state statutes explicitly differentiate between Private Investigators and Digital Examiners. After contacting all state agencies the authors present a distinct grouping organizing state approaches to professional Digital Examiner licensing. The authors conclude that states must differentiate between Private Investigator and Digital Examiner licensing requirements and oversight.

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The Forensics Aspects Of Event Data Recorders, Jeremy S. Daily, Nathan Singleton, Elizabeth Downing, Gavin W. Manes Jan 2008

The Forensics Aspects Of Event Data Recorders, Jeremy S. Daily, Nathan Singleton, Elizabeth Downing, Gavin W. Manes

Journal of Digital Forensics, Security and Law

The proper generation and preservation of digital data from Event Data Recorders (EDRs) can provide invaluable evidence to automobile crash reconstruction investigations. However, data collected from the EDR can be difficult to use and authenticate, complicating the presentation of such information as evidence in legal proceedings. Indeed, current techniques for removing and preserving such data do not meet the court’s standards for electronic evidence. Experimentation with an EDR unit from a 2001 GMC Sierra pickup truck highlighted particular issues with repeatability of results. Fortunately, advances in the digital forensics field and memory technology can be applied to EDR analysis in …

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Table Of Contents Jan 2008

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

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Data Security Measures In The It Service Industry: A Balance Between Knowledge & Action, N. Mlitwa, Y. Kachala Jan 2008

Data Security Measures In The It Service Industry: A Balance Between Knowledge & Action, N. Mlitwa, Y. Kachala

Journal of Digital Forensics, Security and Law

That “knowledge is power” is fast becoming a cliché within the intelligentsia. Such power however, depends largely on how knowledge itself is exchanged and used, which says a lot about the tools of its transmission, exchange, and storage. Information and communication technology (ICT) plays a significant role in this respect. As a networked tool, it enables efficient exchanges of video, audio and text data beyond geographical and time constraints. Since this data is exchanged over the worldwide web (www), it can be accessible by anyone in the world using the internet. The risk of unauthorised access, interception, modification, or even …

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Book Review: Mac Os X, Ipod, And Iphone Forensic Analysis Dvd Toolkit, Gary C. Kessler Jan 2008

Book Review: Mac Os X, Ipod, And Iphone Forensic Analysis Dvd Toolkit, Gary C. Kessler

Journal of Digital Forensics, Security and Law

Apple's hold on the personal computer marketplace started dwindling on August 12, 1981, the day that the IBM PC was introduced. As an Apple ][+ bigot myself, I refused to touch a PC for some years. But I was also a command line bigot, so when the first Macintosh was introduced in 1983 and hermetically sealed the operating system from users, I did not go out and buy one. In fact, like many of my era, I did eventually end up on the PC side which, ironically, let me do many of the things that my trusty Apple ][+ had …

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Vegetation Identification Based On Satellite Imagery, Vamsi K.R. Mantena, Ramu Pedada, Srinivas Jakkula, Yuzhong Shen, Jiang Li, Hamid R. Arabnia (Ed.) Jan 2008

Vegetation Identification Based On Satellite Imagery, Vamsi K.R. Mantena, Ramu Pedada, Srinivas Jakkula, Yuzhong Shen, Jiang Li, Hamid R. Arabnia (Ed.)

Electrical & Computer Engineering Faculty Publications

Automatic vegetation identification plays an important role in many applications including remote sensing and high performance flight simulations. This paper presents a method to automatically identify vegetation based upon satellite imagery. First, we utilize the ISODATA algorithm to cluster pixels in the images where the number of clusters is determined by the algorithm. We then apply morphological operations to the clustered images to smooth the boundaries between clusters and to fill holes inside clusters. After that, we compute six features for each cluster. These six features then go through a feature selection algorithm and three of them are determined to …

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Adapting Adtrees For High Arity Features, Irene Langkilde-Geary, Robert Van Dam, Dan A. Ventura Jan 2008

Adapting Adtrees For High Arity Features, Irene Langkilde-Geary, Robert Van Dam, Dan A. Ventura

Faculty Publications

ADtrees, a data structure useful for caching sufficient statistics, have been successfully adapted to grow lazily when memory is limited and to update sequentially with an incrementally updated dataset. For low arity symbolic features, ADtrees trade a slight increase in query time for a reduction in overall tree size. Unfortunately, for high arity features, the same technique can often result in a very large increase in query time and a nearly negligible tree size reduction. In the dynamic (lazy) version of the tree, both query time and tree size can increase for some applications. Here we present two modifications to …

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Utilizing Phrase-Similarity Measures For Detecting And Clustering Informative Rss News Articles, Yiu-Kai D. Ng, Maria Soledad Pera Jan 2008

Utilizing Phrase-Similarity Measures For Detecting And Clustering Informative Rss News Articles, Yiu-Kai D. Ng, Maria Soledad Pera

Faculty Publications

As the number of RSS news feeds continue to increase over the Internet, it becomes necessary to minimize the workload of the user who is otherwise required to scan through huge numbers of news articles to find related articles of interest, which is a tedious and often an impossible task. In order to solve this problem, we present a novel approach, called InFRSS, which consists of a correlation-based phrase matching (CPM) model and a fuzzy compatibility clustering (FCC) model. CPM can detect RSS news articles containing phrases that are the same as well as semantically alike, and dictate the degrees …

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Collective Outsourcing To Market (Com): A Market-Based Framework For Information Supply Chain Outsourcing, Fang Fang, Zhiling Guo, Andrew B. Whinston Jan 2008

Collective Outsourcing To Market (Com): A Market-Based Framework For Information Supply Chain Outsourcing, Fang Fang, Zhiling Guo, Andrew B. Whinston

Research Collection School Of Computing and Information Systems

This paper discusses the importance of and a solution to separating the information flow from the physical product flow in a supply chain. Motivated by the inefficient demand forecast caused by information asymmetry and lack of an incentive among supply chain partners to share valuable information, we propose a radically new framework called collective outsourcing to market (COM) to address many information supply chain design challenges. To validate the COM framework, we consider a supply chain with one manufacturer and multiple downstream retailers. Retailers privately acquire demand forecast information that they do not have incentive to share horizontally with other …

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Enhancing Recursive Supervised Learning Using Clustering And Combinatorial Optimization (Rsl-Cc), Kiruthika Ramanathan, Sheng Uei Guan Jan 2008

Enhancing Recursive Supervised Learning Using Clustering And Combinatorial Optimization (Rsl-Cc), Kiruthika Ramanathan, Sheng Uei Guan

Research Collection School Of Computing and Information Systems

The use of a team of weak learners to learn a dataset has been shown better than the use of one single strong learner. In fact, the idea is so successful that boosting, an algorithm combining several weak learners for supervised learning, has been considered to be one of the best off-the-shelf classifiers. However, some problems still remain, including determining the optimal number of weak learners and the overfitting of data. In an earlier work, we developed the RPHP algorithm which solves both these problems by using a combination of genetic algorithm, weak learner and pattern distributor. In this paper, …

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A Holistic Approach To Decentralized Structural Damage Localization Using Wireless Sensor Networks, Gregory Hackmann, Fei Sun, Nestor Castaneda, Chenyang Lu, Shirley Dyke Jan 2008

A Holistic Approach To Decentralized Structural Damage Localization Using Wireless Sensor Networks, Gregory Hackmann, Fei Sun, Nestor Castaneda, Chenyang Lu, Shirley Dyke

All Computer Science and Engineering Research

Wireless sensor networks (WSNs) have become an increasingly compelling platform for Structural Health Monitoring (SHM) applications, since they can be installed relatively inexpensively onto existing infrastructure. Existing approaches to SHM in WSNs typically address computing system issues or structural engineering techniques, but not both in conjunction. In this paper, we propose a holistic approach to SHM that integrates a decentralized computing architecture with the Damage Localization Assurance Criterion algorithm. In contrast to centralized approaches that require transporting large amounts of sensor data to a base station, our system pushes the execution of portions of the damage localization algorithm onto the …

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Flexible Service Provisioning For Heterogeneous Sensor Networks, Chien-Liang Fok, Gruia-Catalin Roman, Chenyang Lu Jan 2008

Flexible Service Provisioning For Heterogeneous Sensor Networks, Chien-Liang Fok, Gruia-Catalin Roman, Chenyang Lu

All Computer Science and Engineering Research

This paper presents Servilla, a highly flexible service provisioning framework for heterogeneous wireless sensor networks. Its service-oriented programming model and middleware enable developers to construct platform-independent applications over a dynamic set of devices with diverse computational resources and sensors. A salient feature of Servilla is its support for dynamic discovery and binding to local and remote services, which enables flexible and energy-efficient in-network collaboration among heterogeneous devices. Furthermore, Servilla provides a modular middleware architecture that can be easily tailored for devices with a wide range of resources, allowing even resource-limited devices to provide services and leverage resource-rich devices for in-network …

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Scheduling Design And Verification For Open Soft Real-Time Systems, Robert Glaubius, Terry Tidwell, William D. Smart, Christopher Gill Jan 2008

Scheduling Design And Verification For Open Soft Real-Time Systems, Robert Glaubius, Terry Tidwell, William D. Smart, Christopher Gill

All Computer Science and Engineering Research

Open soft real-time systems, such as mobile robots, experience unpredictable interactions with their environments and yet must respond both adaptively and with reasonable temporal predictability. New scheduling approaches are needed to address the demands of such systems, in which many of the assumptions made by traditional real-time scheduling theory do not hold. In previous work we established foundations for a scheduling policy design and verification approach for open soft real-time systems, that can use different decision models, e.g., a Markov Decision Process (MDP), to capture the nuances of their scheduling semantics. However, several important refinements to the preliminary techniques developed …

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Faster Optimal State-Space Search With Graph Decomposition And Reduced Expansion, Yixin Chen Jan 2008

Faster Optimal State-Space Search With Graph Decomposition And Reduced Expansion, Yixin Chen

All Computer Science and Engineering Research

Traditional AI search methods, such as BFS, DFS, and A*, look for a path from a starting state to the goal in a state space most typically modelled as a directed graph. Prohibitively large sizes of the state space graphs make optimal search difficult. A key observation, as manifested by the SAS+ formalism for planning, is that most commonly a state-space graph is well structured as the Cartesian product of several small subgraphs. This paper proposes novel search algorithms that exploit such structure. The results reveal that standard search algorithms may explore many redundant paths. Our algorithms provide an automatic …

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Probabilistic Sales Forecasting For Small And Medium-Size Business Operations, Randall E. Duran Jan 2008

Probabilistic Sales Forecasting For Small And Medium-Size Business Operations, Randall E. Duran

Research Collection School Of Computing and Information Systems

One of the most important aspects of operating a business is the forecasting of sales and allocation of resources to fulfill sales. Sales assessments are usually based on mental models that are not well defined, may be biased, and are difficult to refine and improve over time. Defining sales forecasting models for small- and medium-size business operations is especially difficult when the number of sales events is small but the revenue per sales event is large. This chapter reviews the challenges of sales forecasting in this environment and describes how incomplete and potentially suspect information can be used to produce …

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