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Articles 1 - 17 of 17
Full-Text Articles in Entire DC Network
Semantic Similarity Detection In Natural Language Documents, Lianyu Zhao
Semantic Similarity Detection In Natural Language Documents, Lianyu Zhao
All Theses
Data leak prevention (DLP) solutions monitor and control data flow. Current techniques find data that matches user defined syntactic patterns. Unfortunately, large classes of DLP relevant data are defined by information semantics, rather than data syntax. Syntax refers to data format, whereas semantics refers to data meaning. The class of social security numbers can be adequately expressed using data syntax, whereas a new industrial process can only be adequately described using information semantics. In this paper, we propose methods for extracting and identifying document semantics using training sets of limited size (tens of documents). The first method is based on …
Motion Capture Study Of Human Movement Recognition, Nicholas Kinerd
Motion Capture Study Of Human Movement Recognition, Nicholas Kinerd
All Theses
In this thesis, we address questions about recognition of human movement through motion
capture. We begin by capturing the martial arts movements of four actors as they each perform
three different techniques. We then conduct a survey to determine if participants in
the survey are able to distinguish the various martial arts techniques and differentiate the
actors that portray said techniques. A secondary consideration of our survey is to determine
if the participants can distinguish the sex of the actors as they perform the martial arts
techniques. Our hypothesis is that people are able to distinguish actors and sex; however, …
An Efficient Image Segmentation Algorithm Using Bidirectional Mahalanobis Distance, Rahul Suresh
An Efficient Image Segmentation Algorithm Using Bidirectional Mahalanobis Distance, Rahul Suresh
All Theses
In this thesis, we present an efficient graph-based image-segmentation algorithm that improves upon the drawbacks of the minimum spanning tree based segmentation algorithm, namely leaks that occur due to the criterion used to merge regions, and the sensitivity of the output to the parameter k. To address these problems, we propose the use of bidirectional Mahalanobis distance, along with a Gaussian model for each region, and an intuitive normalized parameter τ that replaces k and works for all images without having to be changed. Furthermore, we propose an approximation to the algorithm that enables it to run efficiently in O(NlogN) …
An Infrastructure To Support Data Integration And Curation For Higher Educational Research, Linh B. Ngo, Amy W. Apon, Pengfei Xuan, Kimberley Ferguson, Christin Marshall, John Mccann, Yueli Zheng
An Infrastructure To Support Data Integration And Curation For Higher Educational Research, Linh B. Ngo, Amy W. Apon, Pengfei Xuan, Kimberley Ferguson, Christin Marshall, John Mccann, Yueli Zheng
Publications
The recent challenges for higher education call for research that can offer a comprehensive understanding about the performance and efficiency of higher education institutions in their three primary missions: research, education, and service. In other for this to happen, it is necessary for researchers to have access to a multitude of data sources.However, due to the nature of their academic training, many higher education practitioners do not have access to expertise in working with different data sources. In this work, we describe a design and implementation for an infrastructure that will bring together the tools and the data to provide …
Fast And Efficient Classification, Tracking, And Simulation In Wireless Sensor Networks, Hao Jiang
Fast And Efficient Classification, Tracking, And Simulation In Wireless Sensor Networks, Hao Jiang
All Dissertations
Wireless sensor networks are composed of large numbers of resource-lean sensors that collect low-level inputs from the physical world. The applications present challenges for programmers. On the one hand, lightweight algorithms are required given the limited capacity of the constituent devices. On the other, the algorithms must be scalable to accommodate large networks. In this thesis, we focus on the design and implementation of fast and lean (yet scalable) algorithms for classification, simulation, and target tracking in the context of wireless sensor networks. We briefly consider each of these challenges in turn.
The first challenge is to achieve high precision …
A Mathematical Framework For Volume Modeling And Simulation, Brandon Pelfrey
A Mathematical Framework For Volume Modeling And Simulation, Brandon Pelfrey
All Theses
Rendering, modeling, and simulating processes in spatially-varying media are complex tasks
which typically require tedious mathematical derivations and long development and programming.
In this thesis, a framework is presented which allows for fast and casual exploration of ideas for
volume-based simulation and modeling. Several applications of the framework are shown, including
the simulation of fluid dynamics for computer graphics applications. A procedure for automatically
generating OpenCL code from these is given, along with rudimentary examples.
Software Testability Measure For Sae Architecture Analysis And Design Language (Aadl)Software Testability Measure For Sae Architecture Analysis And Design Language (Aadl), Hung Vo
All Theses
Testability is an important quality attribute of software, especially for critical systems such as avionics, medical, and automotive. Improvement in the early testability of software architecture, the first artifact of the software system, will help reduce issues and costs later in the development process.
AADL, an architecture analysis description language suitable for critical embedded, real-time systems, can be used for design documentation, analysis and code generation. Because the capability of AADL can be extended, it is possible to add new analyses to its core language. Tools such as the Open Source AADL Tool Environment (OSATE) provide plugins for processing AADL …
Hybrid Query Expansion On Ontology Graph In Biomedical Information Retrieval, Liang Dong
Hybrid Query Expansion On Ontology Graph In Biomedical Information Retrieval, Liang Dong
All Dissertations
Nowadays, biomedical researchers publish thousands of papers and journals every day. Searching through biomedical literature to keep up with the state of the art is a task of increasing difficulty for many individual researchers. The continuously increasing amount of biomedical text data has resulted in high demands for an efficient and effective biomedical information retrieval (BIR) system. Though many existing information retrieval techniques can be directly applied in BIR, BIR distinguishes itself in the extensive use of biomedical terms and abbreviations which present high ambiguity.
First of all, we studied a fundamental yet simpler problem of word semantic similarity. We …
Data Driven Approach To Multi-Agent Low Level Behavior Generation In Medical Simulations, Manan Gupta
Data Driven Approach To Multi-Agent Low Level Behavior Generation In Medical Simulations, Manan Gupta
All Theses
A multi-agent scenario generation framework is designed, implemented and evaluated in the context of a preventive medicine education virtual reality system with data collected from a sensor network at the University of Iowa Hospital. An agent in the framework is a virtual human that represents a healthcare worker. The agent is able to make certain decisions based on the information it gathers from its surroundings in the virtual environment. Distributed sensor networks are becoming very commonplace in public areas for public safety and surveillance purposes. The data collected from these sensors can be visualized in a multi-agent simulation. The various …
The Adaptation Of 3d Video Game Production Techniques To The 2d Game Play Mechanics Of The Beat-Em-Up Genre, Donald Roeder
The Adaptation Of 3d Video Game Production Techniques To The 2d Game Play Mechanics Of The Beat-Em-Up Genre, Donald Roeder
All Theses
In this paper, we address some of the technological issues and shortcomings that led to the recession in popularity of the Beat 'em up video game genre. In particular, we adapt current technological advances and apply them to 3D video game development to mirror the mechanics of the 2D Beat 'em up genre. We describe our assembly-line approach to 3D asset production that permits quick development of multiple and varied characters and environments. Our approach to 3D camera placement provides the same viewpoint used in the 2D game approach. We have developed various scripts to streamline the animation process. In …
Bringing Action-Adventure Gameplay To The Ipad Using The Unreal Development Kit, Jonathan Lequire
Bringing Action-Adventure Gameplay To The Ipad Using The Unreal Development Kit, Jonathan Lequire
All Theses
Mobile game development is a fast growing industry that
is primarily focused on casual games with short play sessions.
In this paper, we describe an approach to the development of a
game with a focus on lengthy, more traditional gameplay. We describe
some techniques to exploit the UDK for this purpose, even
though the UDK has been used, traditionally, for the
development of shooter games. We have implemented
these techniques, and we describe our port of the game to the
the Apple iPad. The result of our work is a playable game that runs on
the iPad 2, and features …
A Radio Link Quality Model And Simulation Framework For Improving The Design Of Embedded Wireless Systems, Sally Wahba
A Radio Link Quality Model And Simulation Framework For Improving The Design Of Embedded Wireless Systems, Sally Wahba
All Dissertations
Despite the increasing application of embedded wireless systems, developers face numerous challenges during the design phase of the application life cycle. One of the critical challenges is ensuring performance reliability with respect to radio link quality. Specifically, embedded links experience exaggerated link quality variation, which results in undesirable wireless performance characteristics. Unfortunately, the resulting post-deployment behaviors often necessitate network redeployment.
Another challenge is recovering from faults that commonly occur in embedded wireless systems, including node failure and state corruption. Self-stabilizing algorithms can provide recovery in the presence of such faults. These algorithms guarantee the eventual satisfaction of a given state …
A Computational Pipeline For Mci Detection From Heterogeneous Brain Images, Lin Li
A Computational Pipeline For Mci Detection From Heterogeneous Brain Images, Lin Li
All Dissertations
The aging population has increased the importance of identifying and understanding mild cognitive impairment (MCI), particularly given that 6 - 15 % of MCI cases convert to Alzheimer's disease (AD) each year. The early identification of MCI has the potential for timely therapeutic interventions that would limit the advancement of
MCI to AD. However, it is difficult to identify MCI-related pathology based on visual inspection because these changes in brain morphology are subtle and spatially distributed. Therefore, reliable and automated methods to identify subtle changes in morphological
characteristics of MCI would aid in the identification and understanding of MCI. Meanwhile, …
Onecloud: A Study Of Dynamic Networking In An Openflow Cloud, Gregory Stabler
Onecloud: A Study Of Dynamic Networking In An Openflow Cloud, Gregory Stabler
All Theses
Cloud computing is a popular paradigm for accessing computing resources. It provides elastic, on-demand and pay-per-use models that help reduce costs and maintain a flexible infrastructure. Infrastructure as a Service (IaaS) clouds are becoming increasingly popular because users do not have to purchase the hardware for a private cloud, which significantly reduces costs. However, IaaS presents networking challenges to cloud providers because cloud users want the ability to customize the cloud to match their business needs. This requires providers to offer dynamic networking capabilities, such as dynamic IP addressing. Providers must expose a method by which users can reconfigure the …
Impressionist Rendering Of An Animated Painting, Michela Rose
Impressionist Rendering Of An Animated Painting, Michela Rose
All Theses
The following thesis documents the development of a non-traditional rendering technique, that of classic impressionist painting, and its use to create an animated three-dimensional painting. Impressionist style painting has an organic feel to it, with brush strokes that remain visible in the dried paint and a light, lively color palette that seeks to capture the light in an image. Reproducing this style in a computer-generated image is no small task. For this project a CG paint method was developed, utilizing Maya Paint Effects and particles. This method was implemented with a script, saving time by automating the process as much …
Effects Of Immersion On Spatial Updating In Virtual Panoramas, Phillip Napieralski
Effects Of Immersion On Spatial Updating In Virtual Panoramas, Phillip Napieralski
All Theses
An experiment was conducted to examine the effects of immersion on a common spatial knowledge acquisition task in a virtual panoramic environment. A virtual panorama, such as Google Streetview, is an environment that is comprised of 3D (spherical) images taken at regular intervals in a real world setting. Participants navigated the National Mall area of Washington DC in Google Streetview panoramas using either a keyboard and mouse or a head-mounted display (HMD) with a head orientation tracker. In an exploration phase, participants were asked to navigate and observe landmarks. Then, in a testing phase, participants were asked to look in …
Wycinanki: Production Of A Non-Photorealistic Rendered Short Film, Irena Rindos
Wycinanki: Production Of A Non-Photorealistic Rendered Short Film, Irena Rindos
All Theses
Animals have traditionally occupied a special role in human culture and media, and are also often the focus of today's computer-animated films. The computer graphics (CG) short, Wycinanki, examines the human-animal bond through the story of a woman who rescues animals in Poland. Additionally, Wycinanki draws on the cultural history of its protagonist with its unique paper-cut render style. The goal of this film is to engage viewers and enhance the staying power of the film's message via a compelling story and visuals.
A significant amount of environment and character development and testing was necessary to translate the 2D art …