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Dynamic Dead Variable Analysis, Micah S. Lewis Aug 2005

Dynamic Dead Variable Analysis, Micah S. Lewis

Theses and Dissertations

Dynamic dead variable analysis (DDVA) extends traditional static dead variable analysis (SDVA) in the context of model checking through the use of run-time information. The analysis is run multiple times during the course of model checking to create a more precise set of dead variables. The DDVA is evaluated based on the amount of memory used to complete model checking relative to SDVA while considering the extra overhead required to implement DDVA. On several models with a complex control flow graph, DDVA reduces the amount of memory needed by 38-88MB compared to SDVA with a cost of 36 bytes of …

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Efficient And Effective Schemes For Streaming Media Delivery, Cheng Huang Aug 2005

Efficient And Effective Schemes For Streaming Media Delivery, Cheng Huang

All Computer Science and Engineering Research

The rapid expansion of the Internet and the increasingly wide deployment of wireless networks provide opportunities to deliver streaming media content to users at anywhere, anytime. To ensure good user experience, it is important to battle adversary effects, such as delay, loss and jitter. In this thesis, we first study efficient loss recovery schemes, which require pure XOR operations. In particular, we propose a novel scheme capable of recovering up to 3 packet losses, and it has the lowest complexity among all known schemes. We also propose an efficient algorithm for array codes decoding, which achieves significant throughput gain and …

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Enterprise Applications Of Semantic Web: The Sweet Spot Of Risk And Compliance, Amit P. Sheth Aug 2005

Enterprise Applications Of Semantic Web: The Sweet Spot Of Risk And Compliance, Amit P. Sheth

Kno.e.sis Publications

Semantic Web is in the transition from vision and research to reality. In this early state, it is important to study the technical capabilities in the context of real-world applications, and how applications built using the Semantic Web technology meet the real market needs. Beyond push from research, it is the market pull and the ability of the technology to meet real business needs that is a key to ultimate success of any technology. In this paper, we discuss the market of Risk and Compliance which presents unique market opportunity combined with challenging technical requirements. We discuss how the Semantic …

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The Design And Implementation Of The Megacomm Media Center's Extranet, Kenneth J. Quigley Aug 2005

The Design And Implementation Of The Megacomm Media Center's Extranet, Kenneth J. Quigley

Regis University Student Publications (comprehensive collection)

The Purpose of this thesis is to document the project that designed, configured and implemented a network infrastructure that provided the capability to segment, current and future, non-MegaComm Media Center companies that need IT services from the MegaComm Media Center (MMC) and provided Business-to- Business connectivity. The MegaComm Media Center, located in Littleton, Colorado, is a wholly owned subsidiary of the MegaComm Corporation. The MMC provides unique services to the cable industry. In support of these services, the MMC hosts several tenants. Prior to this project the tenants had access to internal MMC networks. The MMC also has several vendors …

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Ontology Learning As A Use-Case For Neural-Symbolic Integration, Pascal Hitzler, Sebastian Bader, Artur Garcez Aug 2005

Ontology Learning As A Use-Case For Neural-Symbolic Integration, Pascal Hitzler, Sebastian Bader, Artur Garcez

Computer Science and Engineering Faculty Publications

We argue that the field of neural-symbolic integration is in need of identifying application scenarios for guiding further research. We furthermore argue that ontology learning - as occurring in the context of semantic technologies - provides such an application scenario with potential for success and high impact on neural-symbolic integration.

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Integrating First-Order Logic Programs And Connectionist Systems - A Constructive Approach, Sebastian Bader, Andreas Witzel, Pascal Hitzler Aug 2005

Integrating First-Order Logic Programs And Connectionist Systems - A Constructive Approach, Sebastian Bader, Andreas Witzel, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Significant advances have recently been made concerning the integration of symbolic knowledge representation with artificial neural networks (also called connectionist systems). However, while the integration with propositional paradigms has resulted in applicable systems, the case of first-order knowledge representation has so far hardly proceeded beyond theoretical studies which prove the existence of connectionist systems for approximating first-order logic programs up to any chosen precision. Advances were hindered severely by the lack of concrete algorithms for obtaining the approximating networks which were known to exist: the corresponding proofs are not constructive in that they do not yield concrete methods for building …

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On The Design Of An Immersive Environment For Security-Related Studies, Yougu Yuan Aug 2005

On The Design Of An Immersive Environment For Security-Related Studies, Yougu Yuan

Dartmouth College Master’s Theses

The Internet has become an essential part of normal operations of both public and private sectors. Many security issues are not addressed in the original Internet design, and security now has become a large concern for networking research and study. There is an imperative need to have an simulation environment that can be used to help study security-related research problems. In the thesis we present our effort to build such an environment: Real-time Immersive Network Simulation Environment (RINSE). RINSE features flexible configuration of models using various networking protocols and real-time user interaction. We also present the Estimate Next Infection (ENI) …

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Extracting Reduced Logic Programs From Artificial Neural Networks, Jens Lehmann, Sebastian Bader, Pascal Hitzler Aug 2005

Extracting Reduced Logic Programs From Artificial Neural Networks, Jens Lehmann, Sebastian Bader, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis problems, the acquired knowledge remains hidden within the network architecture and is not readily accessible for analysis or further use: Trained networks are black boxes. Recent research efforts therefore investigate the possibility to extract symbolic knowledge from trained networks, in order to analyze, validate, and reuse the structural insights gained implicitly during the training process. In this paper, we will study how knowledge in form of propositional logic programs can be obtained in such …

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How Does Information Technology Effect Development? Integrating Theory And Practice Into A Process Model, Sajda Qureshi Aug 2005

How Does Information Technology Effect Development? Integrating Theory And Practice Into A Process Model, Sajda Qureshi

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The concept of development suggests that countries and regions grow to become self-sustaining partners in what is being called the global economy. In more recent years this concept has been synonymous with the emergence of an “information society” whose wheels are oiled by information sharing and the application of knowledge. Some international agencies even propose that information and communications technologies enable development to be achieved more effectively and efficiently. While success stories abound, there is a recognition that not all investments in information technology bring about growth or economic development. So the question remains: how does information technology effect development? …

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Boosted Decision Trees For Word Recognition In Handwritten Document Retrieval, Nicholas Howe, Toni M. Rath, R. Manmatha Aug 2005

Boosted Decision Trees For Word Recognition In Handwritten Document Retrieval, Nicholas Howe, Toni M. Rath, R. Manmatha

Computer Science: Faculty Publications

Recognition and retrieval of historical handwritten material is an unsolved problem. We propose a novel approach to recognizing and retrieving handwritten manuscripts, based upon word image classification as a key step. Decision trees with normalized pixels as features form the basis of a highly accurate AdaBoost classifier, trained on a corpus of word images that have been resized and sampled at a pyramid of resolutions. To stem problems from the highly skewed distribution of class frequencies, word classes with very few training samples are augmented with stochastically altered versions of the originals. This increases recognition performance substantially. On a standard …

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Privacy Issues In The Era Of Ubiquitous Commerce, Holtjona Galanxhi, Fiona Fui-Hoon Nah Aug 2005

Privacy Issues In The Era Of Ubiquitous Commerce, Holtjona Galanxhi, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

The vision of ubiquitous commerce (u-commerce) is realized through the convergence of electronic, mobile, television, voice and silent commerce applications. The ubiquity, universality, uniqueness, and unison of u-commerce will provide two principal benefits for individual users and companies: increased convenience as well as more personalized and customized services. However, u-commerce will also bring new issues such as a greater degree of privacy concerns that will impact individual users, companies, and the society at large. This paper proposes and elaborates on a conceptual framework for privacy in the u-commerce era. It combines Lessig’s macro-level perspective – the four-factor model of privacy …

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Towards A Theoretical Framework Of Information Systems Development Success, Y. Long, Keng Siau, M. Ling Aug 2005

Towards A Theoretical Framework Of Information Systems Development Success, Y. Long, Keng Siau, M. Ling

Research Collection School Of Computing and Information Systems

Information systems development (ISD) is a complicated process involving interconnected resources, objects, and outcomes. The importance of ISD has attracted long-term interests from both researchers and practitioners. Based on the input-process-output model, this paper developed a conceptual framework of ISD success through a systematic literature review. The paper argues that ISD is a comprehensive and interactive process among individuals, teams, and organization. These factors impact ISD process, and further affect ISD success.

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A Semiotics View Of Modeling Method Complexity – The Case Of Uml, Keng Siau, Y. Tian Aug 2005

A Semiotics View Of Modeling Method Complexity – The Case Of Uml, Keng Siau, Y. Tian

Research Collection School Of Computing and Information Systems

Unified Modeling Language (UML) is the standard modeling language for object oriented system development. Despite its status as a standard, UML’s formal specification is fuzzy and its theoretical foundation is weak. Semiotics, the study of signs, provides us good theoretical foundation for UML research as UML graphical notations are some kinds of signs. In this research, we use semiotics to study the graphical notations in UML. We hypothesized that using iconic signs as UML graphical notations leads to more accurate representation and arouses fewer connotations than using symbolic signs. Since symbolic signs involve more learning efforts, we assume that expert …

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Web Mining - The Ontology Approach, Ee Peng Lim, Aixin Sun Aug 2005

Web Mining - The Ontology Approach, Ee Peng Lim, Aixin Sun

Research Collection School Of Computing and Information Systems

The World Wide Web today provides users access to extremely large number of Web sites many of which contain information of education and commercial values. Due to the unstructured and semi-structured nature of Web pages and the design idiosyncrasy of Web sites, it is a challenging task to develop digital libraries for organizing and managing digital content from the Web. Web mining research, in its last 10 years, has on the other hand made significant progress in categorizing and extracting content from the Web. In this paper, we represent ontology as a set of concepts and their inter-relationships relevant to …

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Privacy Issues In The Era Of Ubiquitous Commerce, Holtjona Galanxhi, Fiona Fui-Hoon Nah Aug 2005

Privacy Issues In The Era Of Ubiquitous Commerce, Holtjona Galanxhi, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

The vision of ubiquitous commerce (u‐commerce) is realized through the convergence of electronic, mobile, television, voice and silent commerce applications. The ubiquity, universality, uniqueness and unison of u‐commerce will provide two principal benefits for individual users and businesses: increased convenience as well as more personalized and customized services. However, u‐commerce will also bring emerging issues such as a greater degree of privacy concerns that will impact individual users, companies and society at large. This paper proposes and elaborates on a conceptual framework for privacy in the u‐commerce era. This framework is developed based on Lessig's macro‐level perspective and Adams' micro‐level …

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Detecting Similar Html Documents Using A Sentence-Based Copy Detection Approach, Rajiv Yerra Jul 2005

Detecting Similar Html Documents Using A Sentence-Based Copy Detection Approach, Rajiv Yerra

Theses and Dissertations

Web documents that are either partially or completely duplicated in content are easily found on the Internet these days. Not only these documents create redundant information on the Web, which take longer to filter unique information and cause additional storage space, but also they degrade the efficiency of Web information retrieval. In this thesis, we present a new approach for detecting similar (HTML)Web documents and evaluate its performance. To detect similar documents, we first apply our sentence-based copy detection approach to determine whether sentences in any two documents should be treated as the same or different according to the degrees …

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Constraint-Based Interpolation, Daniel David Goggins Jul 2005

Constraint-Based Interpolation, Daniel David Goggins

Theses and Dissertations

Image reconstruction is the process of converting a sampled image into a continuous one prior to transformation and resampling. This reconstruction can be more accurate if two things are known: the process by which the sampled image was obtained and the general characteristics of the original image. We present a new reconstruction algorithm known as Constraint-Based Interpolation, which estimates the sampling functions found in cameras and analyzes properties of real world images in order to produce quality real-world image magnifications. To accomplish this, Constraint-Based Interpolation uses a sensor model that pushes the pixels in an interpolation to more closely match …

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Peer-To-Peer Discovery Of Semantic Associations, Matthew Perry, Maciej Janik, Cartic Ramakrishnan, Conrad Ibanez, I. Budak Arpinar, Amit P. Sheth Jul 2005

Peer-To-Peer Discovery Of Semantic Associations, Matthew Perry, Maciej Janik, Cartic Ramakrishnan, Conrad Ibanez, I. Budak Arpinar, Amit P. Sheth

Kno.e.sis Publications

The Semantic Web vision promises an extension of the current Web in which all data is annotated with machine understandable metadata. The relationship-centric nature of this data has led to the definition of Semantic Associations, which are complex relationships between resources. Semantic Associations attempt to answer queries of the form “how are resource A and resource B related?” Knowing how two entities are related is a crucial question in knowledge discovery applications. Much the same way humans collaborate and interact to form new knowledge, discovery of Semantic Associations across repositories on a peer-to-peer network can allow peers to share their …

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Ua1b2/1/5 Oral History, Paula Trafton, Charles Anderson Jul 2005

Ua1b2/1/5 Oral History, Paula Trafton, Charles Anderson

WKU Administration Documents

Interview conducted by Paula Trafton with Charles Anderson, retired Vice President for Information Technology.

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Cache Characterization And Performance Studies Using Locality Surfaces, Elizabeth Schreiner Sorenson Jul 2005

Cache Characterization And Performance Studies Using Locality Surfaces, Elizabeth Schreiner Sorenson

Theses and Dissertations

Today's processors commonly use caches to help overcome the disparity between processor and main memory speeds. Due to the principle of locality, most of the processor's requests for data are satisfied by the fast cache memory, resulting in a signficant performance improvement. Methods for evaluating workloads and caches in terms of locality are valuable for cache design. In this dissertation, we present a locality surface which displays both temporal and spatial locality on one three-dimensional graph. We provide a solid, mathematical description of locality data and equations for visualization. We then use the locality surface to examine the locality of …

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Establishing Public Confidence In The Viability Of Fingerprint Biometric Technology, Nathan Alan Green Jul 2005

Establishing Public Confidence In The Viability Of Fingerprint Biometric Technology, Nathan Alan Green

Theses and Dissertations

The most common personal authentication techniques used for identity management employ a secret PIN or password that must be remembered. The challenge, for a given user, is that a multitude of such codes must be recalled over the course of the day for transactions involving distinct computer applications. Password mania prevails. Fingerprint biometric technology is an ideal alternate solution to this password recall problem. In spite of their availability for nearly thirty years, fingerprint biometric systems still remain uncommon in public sectors of industry such as education, government, and technology. Technology has improved sufficiently that false acceptance and rejection rates …

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Accelerated Ray Traced Animations Exploiting Temporal Coherence, Darwin Tarry Baines Jul 2005

Accelerated Ray Traced Animations Exploiting Temporal Coherence, Darwin Tarry Baines

Theses and Dissertations

Ray tracing is a well-know technique for producing realistic graphics. However, the time necessary to generate images is unacceptably long. When producing the many frames that are necessary for animations, the time is magnified. Many methods have been proposed to reduce the calculations necessary in ray tracing. Much of the effort has attempted to reduce the number of rays cast or to reduce the number of intersection calculations. Both of these techniques exploit spatial coherence. These acceleration techniques are expanded not only to exploit spatial coherence but also to exploit temporal coherence in order to reduce calculations by treating animation …

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Task Localization, Similarity, And Transfer; Towards A Reinforcement Learning Task Library System, James Lamond Carroll Jul 2005

Task Localization, Similarity, And Transfer; Towards A Reinforcement Learning Task Library System, James Lamond Carroll

Theses and Dissertations

This thesis develops methods of task localization, task similarity discovery, and task transfer for eventual use in a reinforcement learning task library system, which can effectively “learn to learn,” improving its performance as it encounters various tasks over the lifetime of the learning system.

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Suitability Of The Nist Shop Data Model As A Neutral File Format For Simulation, Gregory Brent Harward Jul 2005

Suitability Of The Nist Shop Data Model As A Neutral File Format For Simulation, Gregory Brent Harward

Theses and Dissertations

Due to the successful application in internet related fields, Extensible Markup Language (XML) and its related technologies are being explored as a revolutionary software file format technology used to provide increased interoperability in the discrete-event simulation (DES) arena. The National Institute of Standards and Technology (NIST) has developed an XML-based information model (XSD) called the Shop Data Model (SDM), which is used to describe the contents of a neutral file format (NFF) that is being promoted as a means to make manufacturing simulation technology more accessible to a larger group of potential customers. Using a two step process, this thesis …

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Real-Time Power Aware Routing In Wireless Sensor Networks, Octav Chipara, Zhimin He, Guoliang Xing, Qin Chen, Xiaorui Wang, Chenyang Lu, John Stankovic, Tarek Abdelzaher Jul 2005

Real-Time Power Aware Routing In Wireless Sensor Networks, Octav Chipara, Zhimin He, Guoliang Xing, Qin Chen, Xiaorui Wang, Chenyang Lu, John Stankovic, Tarek Abdelzaher

All Computer Science and Engineering Research

Many mission-critical wireless sensor network applications must resolve the inherent conflict between the tight resource constraints on each sensor node, particularly in terms of energy, with the need to achieve desired quality of service such as end-to-end real-time performance. To address this challenge we propose the Real-time Power-Aware Routing (RPAR) protocol. RPAR achieves required communication delays at minimum energy cost by dynamically adapting the transmission power and routing decisions based on packet deadlines. RPAR integrates a geographic forwarding policy cognizant of deadlines, power, and link quality with new algorithms for on-demand power adaptation and efficient neighborhood discovery. Simulations based on …

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A Modular Approach To Document Indexing And Semantic Search, Dhanya Ravishankar, Krishnaprasad Thirunarayan, Trivikram Immaneni Jul 2005

A Modular Approach To Document Indexing And Semantic Search, Dhanya Ravishankar, Krishnaprasad Thirunarayan, Trivikram Immaneni

Kno.e.sis Publications

This paper develops a modular approach to improving effectiveness of searching documents for information by reusing and integrating mature software components such as Lucene APIs, WORDNET, LSA techniques, and domain-specific controlled vocabulary. To evaluate the practical benefits, the prototype was used to query MEDLINE database, and to locate domain-specific controlled vocabulary terms in Materials and Process Specifications. Its extensibility has been demonstrated by incorporating a spell-checker for the input query, and by structuring the retrieved output into hierarchical collections for quicker assimilation. It is also being used to experimentally explore the relationship between LSA and document clustering using 20-mini-newsgroups and …

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Faster Owl Using Split Programs, Denny Vrandecic, Pascal Hitzler Jul 2005

Faster Owl Using Split Programs, Denny Vrandecic, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Knowledge representation and reasoning on the Semantic Web is done by means of ontologies. While the quest for suitable ontology languages is still ongoing, OWL [5] has been established as a core standard. It comes in three flavours, as OWL Full, OWL DL and OWL Lite, where OWL Full contains OWL DL, which in turn contains OWL Lite. The latter two coincide semantically with certain description logics and can thus be considered fragments of first-order predicate logic.

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Distributed Streaming For Video On Demand, Shraddha Rumade Jul 2005

Distributed Streaming For Video On Demand, Shraddha Rumade

Computer Science and Engineering Theses - Archive

With the advent of digital media, implementing reliable Video on Demand (VoD) systems over the best effort Internet is a potential issue. Distributed streaming for Video on Demand presents a combination of two techniques. The first being Distributed Video Streaming using Multicast (DVSM) [1] involves video streaming from multiple servers to overcome path congestion. The second technique, Asynchronous Hybrid mechanism for Video on Demand [2] implements segmentation-based periodic broadcast to effectively share network bandwidth. In this work we aim at providing path diversity of multiple senders and maximizing bandwidth sharing via multicast. We exploit alternate paths in case of congestion …

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On Embedding Machine-Processable Semantics Into Documents, Krishnaprasad Thirunarayan Jul 2005

On Embedding Machine-Processable Semantics Into Documents, Krishnaprasad Thirunarayan

Kno.e.sis Publications

Most Web and legacy paper-based documents are available in human comprehensible text form, not readily accessible to or understood by computer programs. Here, we investigate an approach to amalgamate XML technology with programming languages for representational purposes that can enhance traceability, thereby facilitating semiautomatic extraction and update. Specifically, we propose a modular technique to embed machine-processable semantics into a text document with tabular data via annotations, resulting sometimes in ill-formed XML fragments, and evaluate this technique vis a vis document querying, manipulation, and integration. The ultimate aim is to be able to author and extract human-readable and machine-comprehensible parts of …

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The Use Of Multi-Beam Sonars To Image Bubbly Ship Wakes, R Lee Culver, Thomas C. Weber, David L. Bradley Jul 2005

The Use Of Multi-Beam Sonars To Image Bubbly Ship Wakes, R Lee Culver, Thomas C. Weber, David L. Bradley

Center for Coastal and Ocean Mapping

During the past five years, researchers at Penn State University (PSU) have used upward-looking multi-beam (MB) sonar to image the bubbly wakes of surface ships. In 2000, a 19-beam, 5° beam width, 120° sector, 250 kHz MB sonar integrated into an autonomous vehicle was used to obtain a first-of-a-kind look at the three-dimensional variability of bubbles in a large ship wake. In 2001 we acquired a Reson 8101 MB sonar, which operates at 240 kHz and features 101-1.5º beams spanning a 150º sector. In July 2002, the Reson sonar was deployed looking upward from a 1.4 m diameter buoy moored …

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