Computer Sciences Commons^™

Data Mining And Analysis On Multiple Time Series Object Data, Chunyu Jiang

Browse all Theses and Dissertations

Huge amount of data is available in our society and the need for turning such data into useful information and knowledge is urgent. Data mining is an important field addressing that need and significant progress has been achieved in the last decade. In several important application areas, data arises in the format of Multiple Time Series Object (MTSO) data, where each data object is an array of time series over a large set of features and each has an associated class or state. Very little research has been conducted towards this kind of data. Examples include computational toxicology, where each …

Xml Integrated Environment For Service-Oriented Data Management, Marwan Younes Maarouf

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The proliferation of XML as a family of related standards including a markup language (XML), formatting semantics (XSL style sheets), a linking syntax (XLINK), and appropriate data schema standards have emerged as a de facto standard for encoding and sharing data between various applications. XML is designed to be simple, easily parsed and self-describing. XML is based on and support the idea of separation of concerns: information content is separated from information rendering, and relationships between data elements are provided via simple nesting and references. As the XML content grows, the ability to handle schemaless XML documents becomes more critical …

High Performance Text Document Clustering, Yanjun Li

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Data mining, also known as knowledge discovery in database (KDD), is the process to discover interesting unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract interesting and nontrivial information and knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups.

This research focuses on improving the performance of text clustering. We investigated the text clustering algorithms in four aspects: document representation, documents closeness measurement, high dimension reduction and parallelization. We propose a group of high performance …

An Analysis Of Neutral Drift's Effect On The Evolution Of A Ctrnn Locomotion Controller With Noisy Fitness Evaluation, Gregory Robert Kramer

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This dissertation focuses on the evolution of Continuous Time Recurrent Neural Networks (CTRNNs) as controllers for control systems. Existing research suggests that the process of neutral drift can greatly benefit evolution for problems whose fitness landscapes contain large-scale neutral networks. CTRNNs are known to be highly degenerate, providing a possible source of large-scale landscape neutrality, and existing research suggests that neutral drift benefits the evolution of simple CTRNNs. However, there has been no in-depth examination of the effects of neutral drift on complex CTRNN controllers, especially in the presence of noisy fitness evaluation. To address this problem, this dissertation presents …

Computational Methods For The Objective Review Of Forensic Dna Testing Results, Jason R. Gilder

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Since the advent of criminal investigations, investigators have sought a "gold standard" for the evaluation of forensic evidence. Currently, deoxyribonucleic acid (DNA) technology is the most reliable method of identification. Short Tandem Repeat (STR) DNA genotyping has the potential for impressive match statistics, but the methodology not infallible. The condition of an evidentiary sample and potential issues with the handling and testing of a sample can lead to significant issues with the interpretation of DNA testing results. Forensic DNA interpretation standards are determined by laboratory validation studies that often involve small sample sizes. This dissertation presents novel methodologies to address …

Summaritive Digest For Large Document Repositories With Application To E-Rulemaking, Lijun Chen

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Large document repositories need to be organized and summarized to make them more accessible and understandable. Such needs exist in many applications, including web search, e-rulemaking (electronic rulemaking) and document archiving. Even though much has been done in the areas of document clustering and summarization, there are still many new challenges and issues that need to be addressed as the repositories become larger, more prevalent and dynamic. In this dissertation, we investigate more informative ways to organize and summarize large document repositories, especially e-rulemaking feedback repositories (ERFRs), so that the large repositories can be managed and digested more efficiently and …

Comparative Microarray Data Mining, Shihong Mao

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As a revolutionary technology, microarrays have great potential to provide genome-wide patterns of gene expression, to make accurate medical diagnosis, and to explore genetic causes underlying diseases. It is commonly believed that suitable analysis of microarray datasets can lead to achieve the above goals. While much has been done in microarray data mining, few previous studies, if any, focused on multiple datasets at the comparative level. This dissertation aims to fill this gap by developing tools and methods for set-based comparative microarray data mining. Specifically, we mine highly differentiative gene groups (HDGGs) from given datasets/classes, evaluate the concordance of datasets …

A Hybrid Approach To Retrieving Web Documents And Semantic Web Data, Trivikram Immaneni

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The Semantic Web has been evolving into a property-linked web of RDF data, conceptually divorced from (but physically housed in) the World Wide Web of hyperlinked documents. Data Retrieval techniques are typically used to retrieve data from the Semantic Web while Information Retrieval techniques are used to retrieve documents from the Hypertext Web. Conceptually unifying the two webs enables the exploitation of their interconnections resulting in benefits to both data and document retrieval. Towards this end, we present the Unified Web model that integrates the two webs and formalizes the structure and the semantics of their interconnections. We present a …

Analysis Of Finline Structures With Consideration Of Metallization Thickness And Substrate Mounting Grooves, Abderrahmane Ouadi, Hadj Bourdoucen

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, mathematical analysis and numerical calculations of main parameters of finline structures with finite metallization thickness and substrate mounting grooves are developed based on the Method of Lines (MoL). The results obtained provide confirmation of the validity of the technique used and prove its simplicity and adequacy for treating different types of planar structures mainly finline based structures. Unilateral and bilateral finlines including practical parameters, such as metallization thickness and grooves' depths, have been investigated. The effect of these two parameters have been discussed based on realistic configurations and the results show that, at higher frequencies, the grooves …

A Vrp-Based Route Planning For A Mobile Robot Group, Osman Parlaktuna, Aydin Si̇pahi̇oğlu, Ahmet Yazici

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a vehicle routing problem-based approach is presented to construct non-intersecting routes for the members of a mobile robot team. It is assumed that each robot starts from a central location such as the charging point, completes its route and returns to the starting location. The proposed method consists of three algorithms: a sweep algorithm determines the position of each node in clockwise (or counter clockwise) manner with respect to the starting location; savings algorithm calculates the saving obtained by adding a node to the route of a robot; Dijkstra's shortest path algorithm is used to calculate the …

A Communication Module And Tdma Scheduling For A Swarm Of Small Submarines, Ram Somaraju, Felix Schill

Turkish Journal of Electrical Engineering and Computer Sciences

Swarming algorithms usually require fast and reliable local information distribution among neighbouring nodes. Additionally, many applications also require global information distribution in the shortest possible time. We show that communication links with a range which is small compared to the size of the swarm offer many advantages. We propose a system using low frequency radio communication as a viable alternative to acoustic communication. A time division multiple access algorithm is presented together with results from simulations. The presented system can be effectively used in large scale swarms of small submersibles.

A Novel Method For Load Flow Analysis Of Unbalanced Three-Phase Radial Distribution Networks, Masoud Aliakbar Golkar

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a novel method for load flow analysis in radially operated 3-phase distribution networks without solving the well-known conventional load flow equations. The method can be applied for distribution systems in which the loads are unbalanced. As the size of matrix used is very small compared to those in conventional methods, the amount of memory used is very small, the speed is very high, and the relative speed of calculation increases with the size of the system. The method was applied to some practical networks and the results show the superiority of this method over the conventional ones. …

Pi-Calculus In Logical Form, Marcello M. Bonsangue, Alexander Kurz

Engineering Faculty Articles and Research

Abramsky’s logical formulation of domain theory is extended to encompass the domain theoretic model for picalculus processes of Stark and of Fiore, Moggi and Sangiorgi. This is done by defining a logical counterpart of categorical constructions including dynamic name allocation and name exponentiation, and showing that they are dual to standard constructs in functor categories. We show that initial algebras of functors defined in terms of these constructs give rise to a logic that is sound, complete, and characterises bisimilarity. The approach is modular, and we apply it to derive a logical formulation of pi-calculus. The resulting logic is a …

Introduction: Special Issue For The Selected Papers In The Fourth International Conference On Intelligent Multimedia Computing And Networking (Immcn) 2005, Chong-Wah Ngo, Hong-Va Leong

Research Collection School Of Computing and Information Systems

This special issue introduces seven papers selected from the IMMCN’ 2005, covering a wide range of emerging topics in multimedia field. These papers receive high scores and good comments from the reviewers in their respective areas of intelligent and nextgeneration networking, technology and application, multimedia coding, content analysis and retrieval. The seven papers are extended to 20 pages and then gone through another review process before the final publication. In this issue, we have two papers for video streaming, two papers for multimedia applications, one paper for video coding, and two papers for image and video retrieval.

A Cognitive Robotics Approach To Comprehending Human Language And Behaviors, Deryle W. Lonsdale, D. Paul Benjamin, Damian Lyons

Faculty Publications

The ADAPT project is a collaboration of researchers in linguistics, robotics and artificial intelligence at three universities. We are building a complete robotic cognitive architecture for a mobile robot designed to interact with humans in a range of environments, and which uses natural language and models human behavior. This paper concentrates on the HRI aspects of ADAPT, and especially on how ADAPT models and interacts with humans.

Identifying Non-Volatile Data Storage Areas: Unique Notebook Identification Information As Digital Evidence, Nikica Budimir, Jill Slay

Journal of Digital Forensics, Security and Law

The research reported in this paper introduces new techniques to aid in the identification of recovered notebook computers so they may be returned to the rightful owner. We identify non-volatile data storage areas as a means of facilitating the safe storing of computer identification information. A forensic proof of concept tool has been designed to test the feasibility of several storage locations identified within this work to hold the data needed to uniquely identify a computer. The tool was used to perform the creation and extraction of created information in order to allow the analysis of the non-volatile storage locations …

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Making Molehills Out Of Mountains: Bringing Security Research To The Classroom, Richard G. Taylor

Journal of Digital Forensics, Security and Law

Security research published in academic journals rarely finds its way to the business community or into the classroom. Even though the research is of high quality, it is written in a manner that is difficult to read and to understand. This paper argues that one way to get this academic research into the business community is to incorporate it into security classrooms. To do so, however, academic articles need to be adapted into a classroom-friendly format. This paper suggests ways to do this and provides an example of an academic article that was adapted for use in a security management …

The Common Body Of Knowledge: A Framework To Promote Relevant Information Security Research, Kenneth J. Knapp, F. N. Ford, Thomas E. Marshall, R. K. Rainer

Journal of Digital Forensics, Security and Law

This study proposes using an established common body of knowledge (CBK) as one means of organizing information security literature. Consistent with calls for more relevant information systems (IS) research, this industrydeveloped framework can motivate future research towards topics that are important to the security practitioner. In this review, forty-eight articles from ten IS journals from 1995 to 2004 are selected and cross-referenced to the ten domains of the information security CBK. Further, we distinguish articles as empirical research, frameworks, or tutorials. Generally, this study identified a need for additional empirical research in every CBK domain including topics related to legal …

Book Review: Computer Forensics: Principles And Practices, Gary C. Kessler

Journal of Digital Forensics, Security and Law

This issue presents the third 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 Dardick ([email protected]).

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Investigating Information Structure Of Phishing Emails Based On Persuasive Communication Perspective, Ki J. Lee, Il-Yeol Song

Journal of Digital Forensics, Security and Law

Current approaches of phishing filters depend on classifying messages based on textually discernable features such as IP-based URLs or domain names as those features that can be easily extracted from a given phishing message. However, in the same sense, those easily perceptible features can be easily manipulated by sophisticated phishers. Therefore, it is important that universal patterns of phishing messages should be identified for feature extraction to serve as a basis for text classification. In this paper, we demonstrate that user perception regarding phishing message can be identified in central and peripheral routes of information processing. We also present a …

The Design And Implementation Of An Automated Security Compliance Toolkit: A Pedagogical Exercise, Guillermo Francia, Brian Estes, Rahjima Francia, Vu Nguyen, Alex Scroggins

Journal of Digital Forensics, Security and Law

The demand, through government regulations, for the preservation of the security, integrity, and privacy of corporate and customer information is increasing at an unprecedented pace. Government and private entities struggle to comply with these regulations through various means—both automated and manual controls. This paper presents an automated security compliance toolkit that is designed and developed using mostly open source tools to demonstrate that 1) meeting regulatory compliance does not need to be a very expensive proposition and 2) an undertaking of this magnitude could be served as a pedagogical exercise for students in the areas of collaboration, project management, software …

An Exploratory Analysis Of Computer Mediated Communications On Cyberstalking Severity, Stephen D. Barnes, David P. Biros

Journal of Digital Forensics, Security and Law

The interaction between disjunctive interpersonal relationships, those where the parties to the relationship disagree on the goals of the relationship, and the use of computer mediated communications channels is a relatively unexplored domain. Bargh (2002) suggests that CMC channels can amplify the development of interpersonal relationships, and notes that the effect is not constant across communications activities. This proposal suggests a line of research that explores the interaction between computer mediated communications (CMC) and stalking, which is a common form of disjunctive relationships. Field data from cyberstalking cases will be used to look at the effects of CMC channels on …

Predicting Class Life Cycle Maintenance Effort Based On Class Complexity, Lindsey B. Hays

UNF Graduate Theses and Dissertations

In the software industry today many programmers spend countless hours maintaining existing Java programs. The cost of code maintenance affects a company in many ways such as the budget, time management and resources. Making management decisions regarding these issues could be assisted, if maintenance cost of Java classes could be predicted.

The goal of this thesis was to create a new model predicting the maintenance effort based on the Java class complexity. It seems clear the complexity of a Java class can directly relate to the amount of time it will take to perform maintenance on the class.

To develop …

Optimal Discrete Rate Adaptation For Distributed Real-Time Systems With End-To-End Tasks, Yingming Chen, Chenyang Lu, Xenofon Koutsoukos

All Computer Science and Engineering Research

Many distributed real-time systems face the challenge of dynamically maximizing system utility in response to fluctuations in system workload. We present the MultiParametric Rate Adaptation (MPRA) algorithm for discrete rate adaptation in distributed real-time systems with end-to-end tasks. The key novelty and advantage of MPRA is that it can efficiently produce optimal solutions in response to workload changes such as dynamic task arrivals. Through oline preprocessing MPRA transforms a NP-hard utility optimization problem to a set of simple linear functions in different regions expressed in term of CPU utilization changes caused by workload variations. At run time MPRA produces optimal …

Fair Efficiency, Or Low Average Delay Without Starvation, Christoph Jechlitschek, Sergey Gorinsky

All Computer Science and Engineering Research

Elastic applications are primarily interested in minimal delay achievable for their messages under current network load. In this paper, we investigate how to transmit such messages over a bottleneck link efficiently and fairly. While SRPT (Shortest Remaining Processing Time) is an optimally efficient algorithm that minimizes average delay of messages, large messages might starve under SRPT in heavy load conditions. PS (Processor Sharing) and ViFi (Virtual Finish Time First) are fair but yield higher average delays than under SRPT. We explore the class of fair algorithms further and prove that no online algorithm in this class is optimally efficient. Then, …

Expression Profiling Of Human Donor Lungs To Understand Primary Graft Dysfunction After Lung Transplantation, Monika Ray, Sekhar Dharmarajan, Johannes Freudenberg, Weixiong Zhang, Alexander G. Patterson

All Computer Science and Engineering Research

Lung transplantation is the treatment of choice for end-stage pulmonary diseases. A limited donor supply has resulted in 4000 patients on the waiting list. Currently, 10-20% of donor organs offered for transplantation are deemed suitable under the selection criteria, of which 15-25% fails due to primary graft dysfunction (PGD). This has resulted in increased efforts to search for alternative donor lungs selection criteria. In this study, we attempt to further our understanding of PGD by observing the changes in gene expression across donor lungs that developed PGD versus those that did not. Our second goal is to use a machine …

A Fingerspelling Sign Language Visualization , Carol S. Brickman

All Computer Science and Engineering Research

The goal of the Fingerspell Visualization Project is to research methods to improve learning of reading skills through sign language. The techniques are centered on Fingerspelling as the method to bridge stages of skill development. Visualization of a string of text in images of a hand performing the letters of the alphabet in standardized fingerspell sign language positions provide Full Motion Learning as opposed to learning from single pictures.