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A Semantic Interface To Scenario Component Reuse In Dod Simulation Systems, Lawrence A. Breighner
A Semantic Interface To Scenario Component Reuse In Dod Simulation Systems, Lawrence A. Breighner
Theses and Dissertations
The Department of Defense utilizes various simulation systems to model employment of forces and weapons systems in operational environments. The data files that model these environments and weapons systems are extremely large and complex, and require many person-hours to develop. Compounding the problem, these data files are distributed across multiple systems in a heterogeneous environment. Currently, there is no automated means of identifying and retrieving reusable portions of these files for reuse in a new scenario under development. This work develops a multi-agent system that catalogs the files, and provides the user with a means of identifying and retrieving reusable …
A Flexible Framework For Collaborative Visualization Applications Using Java Spaces, Sean C. Butler
A Flexible Framework For Collaborative Visualization Applications Using Java Spaces, Sean C. Butler
Theses and Dissertations
The complexity of modern tasks is rising along with the level of technology. Two techniques commonly used to deal with complexity are collaboration and information visualization. Recently, computer networks have arisen as a powerful means of collaboration, and many new technologies are being developed to better utilize them. Among the newer, more promising of these technologies is Sun Microsystems' JavaSpaces ™, a high-level network programming API. This thesis describes a tool for developing collaborative visualization software using JavaSpaces-an application framework and accompanying toolkit. In addition to a detailed description of the framework, the thesis also describes an application implemented using …
A Radial Basis Function Neural Network Approach To Two-Color Infrared Missile Detection, Kin-Weng Chan
A Radial Basis Function Neural Network Approach To Two-Color Infrared Missile Detection, Kin-Weng Chan
Theses and Dissertations
Multicolor infrared imaging missile-warning systems require real-time detection techniques that can process the wide instantaneous field of regard of focal plane array sensors with a low false alarm rate. Current technology applies classical statistical methods to this problem and ignores neural network techniques. Thus the research reported here is novel in that it investigates the use of radial basis function (RBF) neural networks to detect sub-pixel missile signatures. An RBF neural network is designed and trained to detect targets in two-color infrared imagery using a recently developed regression tree algorithm. Features are calculated for 3 by 3 pixel sub-images in …
An Objective Evaluation Of Four Sar Image Segmentation Algorithms, Jason B. Gregga
An Objective Evaluation Of Four Sar Image Segmentation Algorithms, Jason B. Gregga
Theses and Dissertations
Because of the large number of SAR images the Air Force generates and the dwindling number of available human analysts, automated methods must be developed. A key step towards automated SAR image analysis is image segmentation. There are many segmentation algorithms, but they have not been tested on a common set of images, and there are no standard test methods. This thesis evaluates four SAR image segmentation algorithms by running them on a common set of data and objectively comparing them to each other and to human segmentors. This objective comparison uses a multi-metric a approach with a set of …
Solving The Protein Structure Prediction Problem With Fast Messy Genetic Algorithms (Scaling The Fast Messy Genetic Algorithm To Medium-Sized Peptides By Detecting Secondary Structures), Steven R. Michaud
Theses and Dissertations
The ability to accurately predict a polypeptide's molecular structure given its amino acid sequence is important to numerous scientific, medical, and engineering applications. Studies have been conducted in the application of Genetic Algorithms (GAs) to this problem with promising initial results. In this thesis report, we use the fast messy Genetic Algorithm (fmGA) to attempt to find the minimization of an empirical CHARMM energy model and generation of the associated conformation. Previous work has shown that the fmGA provided favorable results, at least when applied to the pentapeptide Met-Enkephalin. We extend these results to a larger Polyalinine peptide by utilizing …
Software Domain Model Integration Methodology For Formal Specifications, Joel C. Nonnweiler
Software Domain Model Integration Methodology For Formal Specifications, Joel C. Nonnweiler
Theses and Dissertations
Using formal methods to create automatic code generation systems is one of the goals of Knowledge Based Software Engineering (KBSE) groups. The research of the Air Force Institute of Technology KBSE group has focused on the utilization of formal languages to represent domain model knowledge within this process. The code generation process centers around correctness preserving transformations that convert domain models from their analysis representations through design to the resulting implementation code. The diversity of the software systems that can be developed in this manner is limited only by the availability of suitable domain models. Therefore it should be possible …
Selecting A Software Engineering Methodology Using Multiobjective Decision Analysis, Scott A. O'Malley
Selecting A Software Engineering Methodology Using Multiobjective Decision Analysis, Scott A. O'Malley
Theses and Dissertations
With the emergence of agent-oriented software engineering methodologies, software developers have a new set of tools to solve complex software requirements. One problem software developers face is to determine which methodology is the best approach to take to developing a solution. A number of factors go into the decision process. This thesis defines a decision making process that can be used by a software engineer to determine whether or not a software engineering approach is an appropriate system development strategy. This decision analysis process allows the software engineer to classify and evaluate a set of methodologies while specifically considering the …
Information Security: Securing Smart Cards With Iris Recognition, Orval E. Phelps
Information Security: Securing Smart Cards With Iris Recognition, Orval E. Phelps
Theses and Dissertations
This thesis examines the application of iris recognition technology to the problem of keeping smart cards secure. In order to understand the technology, a comprehensive literature review was conducted. The biological components of the iris were examined to ensure that they were truly random in development and static through the lifetime of the individual. Specifically, the physical structure of what comprises the iris was examined in detail. The data gathered indicates that the iris is formed early in development, random in structure, and stable throughout the person's lifetime. Next, the iris recognition process and resulting recognition code was examined to …
Transforming Analysis Models Into Design Models For The Multiagent Engineering Systems (Mase) Methodology, Clint H. Sparkman
Transforming Analysis Models Into Design Models For The Multiagent Engineering Systems (Mase) Methodology, Clint H. Sparkman
Theses and Dissertations
Agent technology has received much attention in the last few years because of the advantages that multiagent systems have in complex, distributed environments. For multiagent systems are to be effective, they must be reliable, robust, and secure. AFIT's Agent Research Group has developed a complete lifecycle methodology, called Multiagent Systems Engineering (MaSE), for analyzing, designing, and developing heterogeneous multiagent systems. However, developing multiagent systems is a complicated process, and there is no guarantee that the resulting system meets the initial requirements and will operate reliably with the desired behavior. The purpose of this research was to develop a semi-automated formal …
Multicast Algorithms For Mobile Satellite Communication Networks, Ryan W. Thomas
Multicast Algorithms For Mobile Satellite Communication Networks, Ryan W. Thomas
Theses and Dissertations
With the rise of mobile computing and an increasing need for ubiquitous high speed data connections, Internet-in-the-sky solutions are becoming increasingly viable. To reduce the network overhead of one-to-many transmissions, the multicast protocol has been devised. The implementation of multicast in these Low Earth Orbit (LEO) constellations is a critical component to achieving an omnipresent network environment. This research examines the system performance associated with two terrestrial-based multicast mobility solutions, Distance Vector Multicast Routing Protocol (DVMRP) with mobile IP and On Demand Multicast Routing Protocol (ODMRP). These protocols are implemented and simulated in a six plane, 66 satellite LEO constellation. …
Gss Technology As A Moderator Of Influence And Perceived Expertise, Kevin V. Thompson
Gss Technology As A Moderator Of Influence And Perceived Expertise, Kevin V. Thompson
Theses and Dissertations
Group Support System (355) research has found this content and process anonymity influence problem solving groups. However, previous studies report mixed results on how OSS technology changes social influence processes and recognition of expertise which affect group performance. This thesis explored content and process anonymity's affect on influence and perceived expertise using three treatments to derive possible explanations for the mixed results found in previous GSS research. The study developed a theoretical model of influence, perceived expertise, and performance. Using structural equation modeling the study tested the relationships between expertise and participation rates, and overall group performance. An experiment was …
Implementation And Analysis Of The Parallel Genetic Rule And Classifier Construction Environment, David M. Strong
Implementation And Analysis Of The Parallel Genetic Rule And Classifier Construction Environment, David M. Strong
Theses and Dissertations
This paper discusses the Genetic Rule and Classifier Construction Environment (GRaCCE), which is an alternative to existing decision rule induction (DRI) algorithms. GRaCCE is a multi-phase algorithm which uses evolutionary search to mine classification rules from data. The current implementation uses a genetic algorithm based 0/1 search to reduce the number of features to a minimal set of features that make the most significant contributions to the classification of the input data set. This feature selection increases the efficiency of the rule induction algorithm that follows. However, feature selection is shown to account for more than 98 percent of the …
Models For Data Source Tracking With Xml, Teoman Yoruk
Models For Data Source Tracking With Xml, Teoman Yoruk
Theses and Dissertations
The Air Force Research arch Laboratory, Sensors Directorate Electronic Warfare Simulation Branch (APRL/SNZW) is responsible for developing and maintaining real-world and hypothetical scenarios for an array of threat engagement simulation systems. The general for scenario creation involves mapping from real-world databases and operations plans to specific fields in the input files represent the scenario. As part of the AFRL/SNZW's overall initiative for the development of a Concurrent Engineering Real-Time database CORrelation tool (CERCORT), as important to the scenario files themselves is the capability to trace hack to the source of data for the scenario fields. Acquiring this capability consequently results …
Empirical Studies Of A Prediction Model For Regression Test Selection, Mary Jean Harrold, David Rosenblum, Gregg Rothermel, Elaine Weyuker
Empirical Studies Of A Prediction Model For Regression Test Selection, Mary Jean Harrold, David Rosenblum, Gregg Rothermel, Elaine Weyuker
School of Computing: Faculty Publications
Regression testing is an important activity that can account for a large proportion of the cost of software maintenance. One approach to reducing the cost of regression testing is to employ a selective regression testing technique that 1) chooses a subset of a test suite that was used to test the software before the modifications, then 2) uses this subset to test the modified software. Selective regression testing techniques reduce the cost of regression testing if the cost of selecting the subset from the test suite together with the cost of running the selected subset of test cases is less …
Parallel 3d Reconstruction Of Assymmetric Virus Structure From Electron From Electron Micrographs: Algorithms And Experiments, Robert E. Lynch, Dan C. Marinescu, Yongchang Ji, Hong Lin
Parallel 3d Reconstruction Of Assymmetric Virus Structure From Electron From Electron Micrographs: Algorithms And Experiments, Robert E. Lynch, Dan C. Marinescu, Yongchang Ji, Hong Lin
Department of Computer Science Technical Reports
No abstract provided.
Adaptive Proportional-Delay Differentiated Services: Characterization And Performance Evaluation, Matthew K. H. Leung, John C. S. Lui, David K.Y. Yau
Adaptive Proportional-Delay Differentiated Services: Characterization And Performance Evaluation, Matthew K. H. Leung, John C. S. Lui, David K.Y. Yau
Department of Computer Science Technical Reports
No abstract provided.
Development Of Objective-Oriented Components For Atm Networks Simulation With Emphasis On Switch Architecture, Boon Pin Tan
Development Of Objective-Oriented Components For Atm Networks Simulation With Emphasis On Switch Architecture, Boon Pin Tan
Student Works (2000-2009)
Asynchronous Transfer Mode (ATM) is considered to be the ground on which B-ISDN is to be built. It is the new generation of communication networks that are being deployed throughout the telecommunication industry. The basic functions of ATM switch are to direct cells from input port to output port and to buffer cell destined to the same output port from different input port. This project focuses on the development of an object-oriented simulator for simulation. The simulator is designed and implemented to ensure the correctness of routing within the switch fabric, fairness of switching and to guarantee quality of service …
A More Efficient Document Retrieval Method For Texpros, Yin Dong
A More Efficient Document Retrieval Method For Texpros, Yin Dong
Dissertations
Document processing is a critical element of office automation. Through document classification, extraction and filing, documents are automatically placed into a knowledge base according to certain rules. Document retrieval is a process to get a document back according to a user's requirements and to show the results to the user. Hence, a good user-interface and an efficient retrieval algorithm become core parts of document retrieval.
Unlike previous browsers that have been proposed for this purpose, this dissertation develops a new browser that has a user interface with more tools, and one that has a more efficient retrieval algorithm that can …
Building An Interactive, Three-Dimensional Virtual World, Raymond Mazza
Building An Interactive, Three-Dimensional Virtual World, Raymond Mazza
Senior Scholar Papers
The movement of graphics and audio programming towards three dimensions is to better simulate the way we experience our world. In this project I looked to use methods for coming closer to such simulation via realistic graphics and sound combined with a natural interface. I did most of my work on a Dell OptiPlex with an 800 MHz Pentium III processor and an NVIDlA GeForce 256 AGP Plus graphics accelerator -high end products in the consumer market as of April 2000. For graphics, I used OpenGL [1], an open·source, multi-platform set of graphics libraries that is relatively easy to use, …
Complexity As Fitness For Evolved Cellular Automata Update Rules, Em Ward, Doug Blank, Douglas Rolniak, Dale R. Thompson
Complexity As Fitness For Evolved Cellular Automata Update Rules, Em Ward, Doug Blank, Douglas Rolniak, Dale R. Thompson
Computer Science Faculty Research and Scholarship
We investigate the state change behavior of one-dimensional cellular automata during the solution of the binary density-classification task. Update rules of high, low and un- known fitness are applied to cellular au- tomata, thereby providing examples of high and low rates of successful classification. A spread factor, ω, is introduced and investi- gated as a numerical marker of state change behavior. The nature of ω describes complex or particle-like behavior on the part of the cellular automata over the middle region of initial configuration density-distribution, but breaks down at the ends. Because of the lim- itation on ω, a related …
Jkarelrobot: A Case Study In Supporting Levels Of Cognitive Development In The Computer Science Curriculum, Duane Buck, David J. Stucki
Jkarelrobot: A Case Study In Supporting Levels Of Cognitive Development In The Computer Science Curriculum, Duane Buck, David J. Stucki
Mathematics Faculty Scholarship
We introduce a new software tool, JKarelRobot, for supporting an Inside/Out pedagogy in introductory programming courses. Extending the original conception of "Karel the Robot", with Bloom's Taxonomy of Educational Objectives as a guiding principle, we have provided a mechanism for designing exercises that are cognitively appropriate to the developmental levels of our students. JKarelRobot is platform independent (written in Java) and language/paradigm independent, supporting Pascal, Java, and Lisp style environments.
Application Of Active Rules To Support Database Integrity Constraints And View Management, Suwanna Visavapattamawon
Application Of Active Rules To Support Database Integrity Constraints And View Management, Suwanna Visavapattamawon
Theses Digitization Project
The project demonstrates the enforcement of integrity constraints in both the conventional and active database systems. The project implements a more complex user-defined constraint, a complicated view and more detailed database auditing on the active database system.
Privacy-Preserving Cooperative Statistical Analysis, Wenliang Du, Mikhail J. Atallah
Privacy-Preserving Cooperative Statistical Analysis, Wenliang Du, Mikhail J. Atallah
Electrical Engineering and Computer Science - All Scholarship
The growth of the Internet opens up tremendous opportunities for cooperative computation, where the answer depends on the private inputs of separate entities. Sometimes these computations may occur between mutually untrusted entities. The problem is trivial if the context allows the conduct of these computations by a trusted entity that would know the inputs from all the participants; however if the context disallows this then the techniques of secure multi-party computation become very relevant and can provide useful solutions. Statistic analysis is a widely used computation in real life, but the known methods usually require one to know the whole …
Modeling An Algebraic Stepper, John Clements, Mathew Flatt, Matthias Felleisen
Modeling An Algebraic Stepper, John Clements, Mathew Flatt, Matthias Felleisen
Computer Science and Software Engineering
Programmers rely on the correctness of the tools in their programming environments. In the past, semanticists have studied the correctness of compilers and compiler analyses, which are the most important tools. In this paper, we make the case that other tools, such as debuggers and steppers, deserve semantic models, too, and that using these models can help in developing these tools. Our concrete starting point is the algebraic stepper in DrScheme, our Scheme programming environment. The algebraic stepper explains a Scheme computation in terms of an algebraic rewriting of the program text. A program is rewritten until it is in …
Virtual Online Stock Trading System, Tao Zhu
Virtual Online Stock Trading System, Tao Zhu
Theses Digitization Project
Stock trading provides a relatively low risk and hassle free channel for people to invest, when compared with other methods. However, it is unfortunate that, for those other people who may be equally interested and financially able in stock trading, they have yet to experience the simplicity of, and the wealth accumulated from stock investments. Reasons for their hesitation to be involved in stock trading vary; but primarily it is due to their lack of experience in trading.
Web-Based Database Management System For Research And Development Laboratories: Technical Service Support System, Benito Solórzano
Web-Based Database Management System For Research And Development Laboratories: Technical Service Support System, Benito Solórzano
Theses Digitization Project
With the use of the Internet and the emerging of e-commerce, new and improved technologies and modeling techniques have been used to design and implement web-based database management systems.
Bookmark Search: A Web-Based Bookmark Search Engine, Yun Sang Lee
Bookmark Search: A Web-Based Bookmark Search Engine, Yun Sang Lee
Theses Digitization Project
The objective of the project is to create a search engine in which the databases of links are the bookmarks uploaded by the user. The main idea of the BOOKMARK-SEARCH system is the sharing of bookmarks resources required carrying on an Internet search. It aims to provide an affordable search solution to users while sharing bookmarks resouces.
Theism And Mathematical Realism, John Byl
Theism And Mathematical Realism, John Byl
ACMS Journal 2004
This paper examines connections between theism and mathematical realism. Mathematical realism, which offers the best account of mathematics, strongly supports theism. Theism, in turn, supports mathematical realism. Theism readily explains the intricate relations between mathematics, matter, and mind. The attributes of the biblical God provide a justification for classical mathematics.
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 17, Number 4, January 2001, College Of Engineering And Computer Science, Wright State University
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 17, Number 4, January 2001, College Of Engineering And Computer Science, Wright State University
BITs and PCs Newsletter
An eight page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.
Parallel Suffix Sorting, Natsuhiko Futamura, Srinivas Aluru, Stefan Kurtz
Parallel Suffix Sorting, Natsuhiko Futamura, Srinivas Aluru, Stefan Kurtz
Electrical Engineering and Computer Science - All Scholarship
We present a parallel algorithm for lexicographically sorting the suffixes of a string. Suffix sorting has applications in string processing, data compression and computational biology. The ordered list of suffixes of a string stored in an array is known as Suffix Array, an important data structure in string processing and computational biology. Our focus is on deriving a practical implementation that works well for typical inputs rather than achieving the best possible asymptotic running-time for artificial, worst-case inputs. We experimentally evaluated our algorithm on an IBM SP-2 using genomes of several organisms. Our experiments show that the algorithm delivers good, …