Computer Sciences Commons^™

Super-Resolution Via Image Recapture And Bayesian Effect Modeling, Neil B. Toronto

Theses and Dissertations

The goal of super-resolution is to increase not only the size of an image, but also its apparent resolution, making the result more plausible to human viewers. Many super-resolution methods do well at modest magnification factors, but even the best suffer from boundary and gradient artifacts at high magnification factors. This thesis presents Bayesian edge inference (BEI), a novel method grounded in Bayesian inference that does not suffer from these artifacts and remains competitive in published objective quality measures. BEI works by modeling the image capture process explicitly, including any downsampling, and modeling a fictional recapture process, which together allow …

Waypoint Generation Based On Sensor Aimpoint, Shannon M. Farrell

Theses and Dissertations

Secretary of Defense Robert M. Gates has emphasized a need for a greater number of intelligence, surveillance, and reconnaissance (ISR) assets to support combatant commanders and military operations globally. Unmanned systems, especially MAVs, used as ISR platforms provide the ability to maintain covertness during missions and help reduce the risk to human life. This research develops waypoint generation algorithms required to keep a point of interest (POI) in the field of view (FOV) of a fixed sensor on a micro air vehicle (MAV) in the presence of a constant wind.
Fixed sensors, while cheaper and less prone to mechanical failure …

Host-Based Multivariate Statistical Computer Operating Process Anomaly Intrusion Detection System (Paids), Glen R. Shilland

Theses and Dissertations

No abstract provided.

Architecting Human Operator Trust In Automation To Improve System Effectiveness In Multiple Unmanned Aerial Vehicles (Uav), Eric A. Cring, Adam G. Lenfestey

Theses and Dissertations

Current Unmanned Aerial System (UAS) designs require multiple operators for each vehicle, partly due to imperfect automation matched with the complex operational environment. This study examines the effectiveness of future UAS automation by explicitly addressing the human/machine trust relationship during system architecting. A pedigreed engineering model of trust between human and machine was developed and applied to a laboratory-developed micro-UAS for Special Operations. This unprecedented investigation answered three primary questions. Can previous research be used to create a useful trust model for systems engineering? How can trust be considered explicitly within the DoD Architecture Framework? Can the utility of architecting …

Low Probability Of Intercept Waveforms Via Intersymbol Dither Performance Under Multipath Conditions, Jonathan K. Keen

Theses and Dissertations

This thesis examines the effects of multipath interference on Low Probability of Intercept (LPI) waveforms generated using intersymbol dither. LPI waveforms are designed to be difficult for non-cooperative receivers to detect and manipulate, and have many uses in secure communications applications. In prior research, such a waveform was designed using a dither algorithm to vary the time between the transmission of data symbols in a communication system. This work showed that such a method can be used to frustrate attempts to use non-cooperative receiver algorithms to recover the data. This thesis expands on prior work by examining the effects of …

Image Processing For Multiple-Target Tracking On A Graphics Processing Unit, Michael A. Tanner

Theses and Dissertations

Multiple-target tracking (MTT) systems have been implemented on many different platforms, however these solutions are often expensive and have long development times. Such MTT implementations require custom hardware, yet offer very little flexibility with ever changing data sets and target tracking requirements. This research explores how to supplement and enhance MTT performance with an existing graphics processing unit (GPU) on a general computing platform. Typical computers are already equipped with powerful GPUs to support various games and multimedia applications. However, such GPUs are not currently being used in desktop MTT applications. This research explores if and how a GPU can …

The Modular Clock Algorithm For Blind Rendezvous, Nicholas C. Theis

Theses and Dissertations

This thesis examines the problem in initializing communications whereby cognitive radios need to find common spectrum with other cognitive radios, a process known as frequency rendezvous. It examines the rendezvous problem as it exists in a dynamic spectrum access cognitive network. Specifically, it addresses the problem of rendezvous in an infrastructureless environment. A new algorithm, the modular clock algorithm, is developed and analyzed as a solution for the simple rendezvous environment model, coupled with a modified version for environment models with less information. The thesis includes a taxonomy of commonly used environment models, and analysis of previous efforts to solve …

An Exploratory Social Network Analysis Of Military And Civilian Emergency Operation Centers Focusing On Organization Structure, Joseph D. Legradi

Theses and Dissertations

The purpose of this research was to explore how United States Air Force Emergency Operation Centers (EOC) compare to civilian EOCs with respect to their task-based social networks and decision making social networks. Multiple measures were explored to understand the networks, which included analyzing key metrics of the network such as closeness centrality and betweenness centrality, centralization of the network, and comparison of structural holes within the networks. These measures were then used to suggest improvements for the organizations to improve performance and more importantly, interoperability. The results of the study showed that in this data set there were several …

The Development Of It Suspicion As A Construct And Subsequent Measure, Matthew T. Olson

Theses and Dissertations

Suspicion has not been studied in great depth; however, a conceptual understanding of suspicion is no less important than many of the other highly studied constructs related to healthy working relationships. Information technology (IT) is one area where suspicion study is lacking, and this research effort was a study into the specific domain of IT suspicion. An extensive study of the suspicion literature and the suspicion nomological net as well as informal surveys of the general populous and subject matter experts were used to create an IT suspicion conceptual definition and measure. In order to test IT suspicion’s relationships with …

Gis Hub For Pace Community Service, Collaborative Project

Dyson College- Seidenberg School of CSIS : Collaborative Projects and Presentations

This entry adheres to the use of the quad chart template to provide a succinct description only of the current research project undertaken by the participants. It provides for the folowing information

1. Participants and Affiliations
2. Overall Project Goals
3. Illustrative picture
4. Specific research/artistic/pedagogic foci

A Hybrid Templated-Based Composite Classification System, Michael A. Turnbaugh

Theses and Dissertations

An automatic target classification system contains a classifier which reads a feature as an input and outputs a class label. Typically, the feature is a vector of real numbers. Other features can be non-numeric, such as a string of symbols or alphabets. One method of improving the performance of an automatic classification system is through combining two or more independent classifiers that are complementary in nature. Complementary classifiers are observed by finding an optimal method for partitioning the problem space. For example, the individual classifiers may operate to identify specific objects. Another method may be to use classifiers that operate …

Numerical Analysis For Relevant Features In Intrusion Detection (Narfid), Jose Andres Gonzalez

Theses and Dissertations

Identification of cyber attacks and network services is a robust field of study in the machine learning community. Less effort has been focused on understanding the domain space of real network data in identifying important features for cyber attack and network service classification. Motivations for such work allow for anomaly detection systems with less requirements on data “sniffed” off the network, extraction of features from the traffic, reduced learning time of algorithms, and ideally increased classification performance of anomalous behavior. This thesis evaluates the usefulness of a good feature subset for the general classification task of identifying cyber attacks and …

Using Predictive Rendering As A Vision-Aided Technique For Autonomous Aerial Refueling, Adam D. Weaver

Theses and Dissertations

This research effort seeks to characterize a vision-aided approach for an Unmanned Aerial System (UAS) to autonomously determine relative position to another aircraft in a formation, specifically to address the autonomous aerial refueling problem. A system consisting of a monocular digital camera coupled with inertial sensors onboard the UAS is analyzed for feasibility of using this vision-aided approach. A three-dimensional rendering of the tanker aircraft is used to generate predicted images of the tanker as seen by the receiver aircraft. A rigorous error model is developed to model the relative dynamics between an INS-equipped receiver and the tanker aircraft. A …

Reconstructability Analysis In Biomedical Research, Martin Zwick

Complex Systems Faculty Publications and Presentations

This talk explains reconstructability analysis (RA), a graphical modeling methodology based in information theory & graph theory which overlaps more familiar machine learning & statistical methods such as log-linear models & Bayesian networks. The talk reports on the use of RA in a recent bioinformatics study of human gene (SNP) - disease (diabetes) association & epistasis & in some other biomedical applications of RA.

Keywords: Reconstructability Analysis, biomedical research, bioinformatics, categorical data, multivariate statistics, exploratory modeling, confirmatory modeling

A Neutral Network Based Vehicle Classification System For Pervasive Smart Road Security, Naixue Xiong, Jing (Selena) He, Jong Hyuk Park, Donald Cooley

Faculty Articles

Pervasive smart computing environments make people get accustomed to convenient and secure services. The overall goal of this research is to classify vehicles along the I215 freeway in Salt Lake City, USA. This information will be used to predict future roadway needs and the expected life of a roadway. The classification of vehicles will be performed by a synthesis of multiple sets of features. All feature sets have not yet been determined; however, one such set will be the reduced wavelet transform of the image of a vehicle. In order to use such a feature, it is necessary that the …

A University-Based Forensics Training Center As A Regional Outreach, Education, And Research Activity, Rayford B. Vaughn, David A. Dampier

Computer Sciences and Electrical Engineering Faculty Research

This paper describes a university-based Forensics Training Center (FTC) established by a Department of Justice grant for the purpose of improving the ability of state and local law enforcement in the Southeastern part of the United States to address the rising incidence of computer based crime. The FTC effort is described along with supporting evidence of its need. The program is not only a service activity, but also contributes to the Mississippi State University (MSU) security program pedagogy, and research effort.

The Importance Of Being Neural-Symbolic - A Wilde Position, Pascal Hitzler, Kai-Uwe Kuhnberger

Computer Science and Engineering Faculty Publications

We argue that Neural-Symbolic Integration is a topic of central importance for the advancement of Artificial General Intelligence.

Planning For Success: The Interdisciplinary Approach To Building Bayesian Models, Alex Dekhtyar, Judy Goldsmith, Beth Goldstein, Krol Kevin Mathias, Cynthia Isenhour

Computer Science and Software Engineering

This paper describes a process by which anthropologists, computer scientists, and social welfare case managers collaborated to build a stochastic model of welfare advising in Kentucky. In the process of collaboration,the research team rethought the Bayesian network model of Markov decision processes and designed a new knowledge elicitation format. We expect that this model will have wide applicability in other domains.

Implications Of Integrating Test-Driven Development Into Cs1/Cs2 Curricula, Chetan Desai, David S. Janzen, John Clements

Computer Science and Software Engineering

Many academic and industry professionals have called for more testing in computer science curricula. Test-driven development (TDD) has been proposed as a solution to improve testing in academia. This paper demonstrates how TDD can be integrated into existing course materials without reducing topic coverage. Two controlled experiments were conducted in a CS1/CS2 course in Winter 2008. Following a test-driven learning approach, unit testing was introduced at the beginning of the course and reinforced through example. Results indicate that while student work loads may increase with the incorporation of TDD, students are able to successfully develop unit tests while learning to …

Decentralized Robust Control Of Robot Manipulators With Harmonic Drive Transmission And Application To Modular And Reconfigurable Serial Arms, Z. Li, W. W. Melek, Christopher M. Clark

Computer Science and Software Engineering

In this paper, we propose a decentralized robust control algorithm for modular and reconfigurable robots (MRRs) based on Lyapunov’s stability analysis and backstepping techniques. In using decentralized control schemes with robot manipulators, each joint is considered as an independent subsystem, and the dynamical effects from the other links and joints are treated as disturbance. However, there exist many uncertainties due to unmodeled dynamics, varying payloads, harmonic drive (HD) compliance, HD complex gear meshing mechanisms, etc. Also, while the reconfigurability of MRRs is advantageous, modifying the configuration will result in changes to the robot dynamics parameters, thereby making it challenging to …

Environmental Response Management Application (Erma) - Web-Based Gis Data Display And Management System For Oil Spill Planning And Environmental Response, Michele Jacobi, Rob Braswell, Amy A. Merten, Nancy E. Kinner, Kurt Schwehr

Center for Coastal and Ocean Mapping

NOAA’s Office of Response and Restoration (ORR) in a partnership with the University of New Hampshire Coastal Response Research Center (CRRC), is leading an effort to develop an Open Source GIS system that is accessible to both the command post and to assets in the field during a response. The ERMA (Environmental Response Management Application) system is an integrated data management platform that uses MapServer and Open Layers software to combine real-time and static regional geospatial data sets. Data available include: weather and forecasts, ESI maps, IOOS buoys, modeled spill trajectories, real-time tracks of vessels, response plans, navigational charts, bathymetry, …

Information Technology (It) Investment Decisions Under Asymmetric Information: A Modified Rational Expectation Model, Jinlan Ni, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

In this paper, we propose that information technology (IT) managers make investment decisions about new IT initiatives based on a modified rational expectation model. Unlike traditional rational expectation models, we emphasize the relevance of market uncertainty and its impact on the return of new IT investment. This results in information acquisition decisions by managers that can cause information asymmetry. This information asymmetry is endogenous and so the IT manager can become well informed if and only if it is beneficial to do so. We also capture different levels of IT investment across managers by introducing heterogeneity across managers in terms …

“Humanoid Robot” “Programming Of Movement Patterns” “Humanoid - Bioloid”, Faton Bekteshi

Theses and Dissertations

This thesis was developed in collaboration with Univ.Prof.Dipl.-Ing.Dr.Dr.h.c.mult. Peter Kopacek and Msc. Artan Dermaku and boosted the creation of the Humanoid Robotics Laboratory of UBT, at University for Business and Technology in Prishtina. ( http://www.ubt-uni.net/ ).

The main objective of the Humanoid Robot, for the time being, is to develop a

humanoid robot able to make complex motions like walking, running and jumping through real-time feedback control techniques.

This exposition presents a Linear Quadratic Regulator (LQR) controller for the simulation and control of the humanoid robot. Also our objective during programming the robot was to make him able improving military …

Approximability Of The Unsplittable Flow Problem On Trees, Chrisil Arackaparambil, Amit Chakrabarti, Chien-Chung Huang

Computer Science Technical Reports

We consider the approximability of the Unsplittable Flow Problem (UFP) on tree graphs, and give a deterministic quasi-polynomial time approximation scheme for the problem when the number of leaves in the tree graph is at most poly-logarithmic in $n$ (the number of demands), and when all edge capacities and resource requirements are suitably bounded. Our algorithm generalizes a recent technique that obtained the first such approximation scheme for line graphs. Our results show that the problem is not APX-hard for such graphs unless NP \subseteq DTIME(2^{polylog(n)}). Further, a reduction from the Demand Matching Problem shows that UFP is APX-hard when …

It Seemed Like A Good Idea At The Time, James Huggins, Jonas Boustedt, Robert Mccartney, Katherine Deibel, Beth Simon, Suzanne Westbrook

Computer Science Presentations And Conference Materials

We often learn of successful pedagogical experiments, but we seldom hear of the the ones that failed. For this special session we solicited submissions from the SIGCSE membership, selected the best from among these, and will have presentations at the session by the selected authors. Our contributions describe pedagogical approaches that seemed to be good ideas but turned out as failures. At the session, contributors will describe their pedagogical experiment, the rationale for the experiment, evidence of failure, and lessons learned.

Moving First Life Into Secondlife: Real World Opportunities For Virtual Teams And Virtual World Project Management, Dawn Owens, Alanah Davis, John D. Murphy, Deepak Khazanchi, Ilze Zigurs

Information Systems and Quantitative Analysis Faculty Publications

Consider a world where you can: conduct training sessions and bring together experts from around the globe in a single, common environment where learning is possible; hold effective meetings in a shared space where distant resources and people can come together to communicate, laugh, and create artifacts quickly and easily; and, coordinate a project with ease and overcome cultural barriers to team effectiveness. These scenarios can be realized with virtual world (VW) technology.

Evaluating Hydrology Preservation Of Simplified Terrain Representations, Christopher S. Stuetzle, W. Randolph Franklin, Barbara Cutler

Computer and Data Science Faculty Publications

We present an error metric based on the potential energy of water flow to evaluate the quality of lossy terrain simplification algorithms. Typically, terrain compression algorithms seek to minimize RMS (root mean square) and maximum error. These metrics fail to capture whether a reconstructed terrain preserves the drainage network. A quantitative measurement of how accurately a drainage network captures the hydrology is important for determining the effectiveness of a terrain simplification technique. Having a measurement for testing and comparing different models has the potential to be widely used in numerous applications (flood prevention, erosion measurement, pollutant propagation, etc). In this …

Generalized Neuron Based Secure Media Access Control Protocol For Wireless Sensor Networks, Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy, Abhishek V. Thakur, Sanjay Kumar Madria

Electrical and Computer Engineering Faculty Research & Creative Works

Security plays a pivotal role in most applications of wireless sensor networks. It is common to find inadequately secure networks confined only to controlled environments. The issue of security in wireless sensor networks is a hot research topic for over a decade. This paper presents a compact generalized neuron (GN) based medium access protocol that renders a CSMA/CD network secure against denial-of-service attacks launched by adversaries. The GN enhances the security by constantly monitoring multiple parameters that reflect the possibility that an attack is launched by an adversary. Particle swarm optimization, a popular bio-inspired evolutionary-like optimization algorithm is used for …

Fast Object Search On Road Networks, Ken C. K. Lee, Wang-Chien Lee, Baihua Zheng

Research Collection School Of Computing and Information Systems

In this paper, we present ROAD, a general framework to evaluate Location-Dependent Spatial Queries (LDSQ)s that searches for spatial objects on road networks. By exploiting search space pruning technique and providing a dynamic object mapping mechanism, ROAD is very efficient and flexible for various types of queries, namely, range search and nearest neighbor search, on objects over large-scale networks. ROAD is named after its two components, namely, Route Overlay and Association Directory, designed to address the network traversal and object access aspects of the framework. In ROAD, a large road network is organized as a hierarchy of interconnected regional sub-networks …

Visual Word Proximity And Linguistics For Semantic Video Indexing And Near-Duplicate Retrieval, Yu-Gang Jiang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Bag-of-visual-words (BoW) has recently become a popular representation to describe video and image content. Most existing approaches, nevertheless, neglect inter-word relatedness and measure similarity by bin-to-bin comparison of visual words in histograms. In this paper, we explore the linguistic and ontological aspects of visual words for video analysis. Two approaches, soft-weighting and constraint-based earth mover’s distance (CEMD), are proposed to model different aspects of visual word linguistics and proximity. In soft-weighting, visual words are cleverly weighted such that the linguistic meaning of words is taken into account for bin-to-bin histogram comparison. In CEMD, a cross-bin matching algorithm is formulated such …