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A Language and Visual Interface to Specify Complex Spatial Pattern Mining

The emerging interests in spatial pattern mining leads to the demand for a flexible spatial pattern mining language, on which easy to use and understand visual pattern language could be built. It is worthwhile to define a pattern mining language called LCSPM to allow users to specify complex spatial patterns. I describe a proposed pattern mining language in this paper. A visual interface which allows users to specify the patterns visually is developed. Visual pattern queries are translated into… more

Access: Restricted to UNT Community Members. Login required if off-campus.

Date: December 2006

Creator: Li, Xiaohui

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Deep Learning Approaches to Radio Map Estimation

Radio map estimation (RME) is the task of predicting radio power at all locations in a two-dimensional area and at all frequencies in a given band. This thesis explores four deep learning approaches to RME: dual path autoencoders, skip connection autoencoders, diffusion, and joint learning with transmitter localization.

Date: July 2023

Creator: Locke IV, William Alexander

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Distributed Frameworks Towards Building an Open Data Architecture

Data is everywhere. The current Technological advancements in Digital, Social media and the ease at which the availability of different application services to interact with variety of systems are causing to generate tremendous volumes of data. Due to such varied services, Data format is now not restricted to only structure type like text but can generate unstructured content like social media data, videos and images etc. The generated Data is of no use unless been stored and analyzed to derive… more

Date: May 2015

Creator: Venumuddala, Ramu Reddy

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Survey of Approximation Algorithms for Set Cover Problem

In this thesis, I survey 11 approximation algorithms for unweighted set cover problem. I have also implemented the three algorithms and created a software library that stores the code I have written. The algorithms I survey are: 1. Johnson's standard greedy; 2. f-frequency greedy; 3. Goldsmidt, Hochbaum and Yu's modified greedy; 4. Halldorsson's local optimization; 5. Dur and Furer semi local optimization; 6. Asaf Levin's improvement to Dur and Furer; 7. Simple rounding; 8. Randomized rounding;… more

Date: December 2009

Creator: Dutta, Himanshu Shekhar

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

A Smooth-turn Mobility Model for Airborne Networks

In this article, I introduce a novel airborne network mobility model, called the Smooth Turn Mobility Model, that captures the correlation of acceleration for airborne vehicles across time and spatial coordinates. E?ective routing in airborne networks (ANs) relies on suitable mobility models that capture the random movement pattern of airborne vehicles. As airborne vehicles cannot make sharp turns as easily as ground vehicles do, the widely used mobility models for Mobile Ad Hoc Networks such a… more

Date: August 2012

Creator: He, Dayin

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

FP-tree Based Spatial Co-location Pattern Mining

A co-location pattern is a set of spatial features frequently located together in space. A frequent pattern is a set of items that frequently appears in a transaction database. Since its introduction, the paradigm of frequent pattern mining has undergone a shift from candidate generation-and-test based approaches to projection based approaches. Co-location patterns resemble frequent patterns in many aspects. However, the lack of transaction concept, which is crucial in frequent pattern mining, … more

Date: May 2005

Creator: Yu, Ping

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Adaptive Planning and Prediction in Agent-Supported Distributed Collaboration.

Agents that act as user assistants will become invaluable as the number of information sources continue to proliferate. Such agents can support the work of users by learning to automate time-consuming tasks and filter information to manageable levels. Although considerable advances have been made in this area, it remains a fertile area for further development. One application of agents under careful scrutiny is the automated negotiation of conflicts between different user's needs and desires. M… more

Date: December 2004

Creator: Hartness, Ken T. N.

Item Type: Thesis or Dissertation

Partner: UNT Libraries

A Netcentric Scientific Research Repository

The Internet and networks in general have become essential tools for disseminating in-formation. Search engines have become the predominant means of finding information on the Web and all other data repositories, including local resources. Domain scientists regularly acquire and analyze images generated by equipment such as microscopes and cameras, resulting in complex image files that need to be managed in a convenient manner. This type of integrated environment has been recently termed a netc… more

Access: Restricted to the UNT Community Members at a UNT Libraries Location.

Date: December 2006

Creator: Harrington, Brian

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Natural Language Interfaces to Databases

Natural language interfaces to databases (NLIDB) are systems that aim to bridge the gap between the languages used by humans and computers, and automatically translate natural language sentences to database queries. This thesis proposes a novel approach to NLIDB, using graph-based models. The system starts by collecting as much information as possible from existing databases and sentences, and transforms this information into a knowledge base for the system. Given a new question, the system wil… more

Date: December 2006

Creator: Chandra, Yohan

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Mediation on XQuery Views

The major goal of information integration is to provide efficient and easy-to-use access to multiple heterogeneous data sources with a single query. At the same time, one of the current trends is to use standard technologies for implementing solutions to complex software problems. In this dissertation, I used XML and XQuery as the standard technologies and have developed an extended projection algorithm to provide a solution to the information integration problem. In order to demonstrate my sol… more

Date: December 2006

Creator: Peng, Xiaobo

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Extracting Temporally-Anchored Knowledge from Tweets

Twitter has quickly become one of the most popular social media sites. It has 313 million monthly active users, and 500 million tweets are published daily. With the massive number of tweets, Twitter users share information about a location along with the temporal awareness. In this work, I focus on tweets where author of the tweets exclusively mentions a location in the tweet. Natural language processing systems can leverage wide range of information from the tweets to build applications like … more

Date: May 2018

Creator: Doudagiri, Vivek Reddy

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Developing a Wildlife Tracking Extension for ArcGIS

Wildlife tracking is an essential task to gain better understanding of the migration pattern and use of space of the wildlife. Advances in computer technology and global positioning systems (GPS) have lowered costs, reduced processing time, and improved accuracy for tracking wild animals. In this thesis, a wildlife tracking extension is developed for ArcGIS 9.x, which allows biologists and ecologists to effectively track, visualize and analyze the movement patterns of wild animals. The extensio… more

Date: May 2009

Creator: Chen, Cai

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

A Wireless Traffic Surveillance System Using Video Analytics

Video surveillance systems have been commonly used in transportation systems to support traffic monitoring, speed estimation, and incident detection. However, there are several challenges in developing and deploying such systems, including high development and maintenance costs, bandwidth bottleneck for long range link, and lack of advanced analytics. In this thesis, I leverage current wireless, video camera, and analytics technologies, and present a wireless traffic monitoring system. I first … more

Date: May 2011

Creator: Luo, Ning

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Determining Whether and When People Participate in the Events They Tweet About

This work describes an approach to determine whether people participate in the events they tweet about. Specifically, we determine whether people are participants in events with respect to the tweet timestamp. We target all events expressed by verbs in tweets, including past, present and events that may occur in future. We define event participant as people directly involved in an event regardless of whether they are the agent, recipient or play another role. We present an annotation effort, gu… more

Date: May 2017

Creator: Sanagavarapu, Krishna Chaitanya

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Location Estimation and Geo-Correlated Information Trends

A tremendous amount of information is being shared every day on social media sites such as Facebook, Twitter or Google+. However, only a small portion of users provide their location information, which can be helpful in targeted advertising and many other services. Current methods in location estimation using social relationships consider social friendship as a simple binary relationship. However, social closeness between users and structure of friends have strong implications on geographic dis… more

Date: December 2017

Creator: Liu, Zhi

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Automated Real-time Objects Detection in Colonoscopy Videos for Quality Measurements

The effectiveness of colonoscopy depends on the quality of the inspection of the colon. There was no automated measurement method to evaluate the quality of the inspection. This thesis addresses this issue by investigating an automated post-procedure quality measurement technique and proposing a novel approach automatically deciding a percentage of stool areas in images of digitized colonoscopy video files. It involves the classification of image pixels based on their color features using a new… more

Date: August 2013

Creator: Kumara, Muthukudage Jayantha

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Detection of Temporal Events and Abnormal Images for Quality Analysis in Endoscopy Videos

Recent reports suggest that measuring the objective quality is very essential towards the success of colonoscopy. Several quality indicators (i.e. metrics) proposed in recent studies are implemented in software systems that compute real-time quality scores for routine screening colonoscopy. Most quality metrics are derived based on various temporal events occurred during the colonoscopy procedure. The location of the phase boundary between the insertion and the withdrawal phases and the amount … more

Date: August 2013

Creator: Nawarathna, Ruwan D.

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems

With the advent of information explosion age, larger capacity disk drives are used to store data and powerful devices are used to process big data. As the scale and complexity of computer systems increase, we expect these systems to provide dependable and energy-efficient services and computation. Although hard drives are reliable in general, they are the most commonly replaced hardware components. Disk failures cause data corruption and even data loss, which can significantly affect system per… more

Access: Restricted to UNT Community Members. Login required if off-campus.

Date: May 2019

Creator: Huang, Song

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Hybrid Approaches in Test Suite Prioritization

The rapid advancement of web and mobile application technologies has recently posed numerous challenges to the Software Engineering community, including how to cost-effectively test applications that have complex event spaces. Many software testing techniques attempt to cost-effectively improve the quality of such software. This dissertation primarily focuses on that of hybrid test suite prioritization. The techniques utilize two or more criteria to perform test suite prioritization as it is of… more

Date: May 2018

Creator: Nurmuradov, Dmitriy

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Classifying Pairwise Object Interactions: A Trajectory Analytics Approach

We have a huge amount of video data from extensively available surveillance cameras and increasingly growing technology to record the motion of a moving object in the form of trajectory data. With proliferation of location-enabled devices and ongoing growth in smartphone penetration as well as advancements in exploiting image processing techniques, tracking moving objects is more flawlessly achievable. In this work, we explore some domain-independent qualitative and quantitative features in raw… more

Date: May 2015

Creator: Janmohammadi, Siamak

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

The Design Of A Benchmark For Geo-stream Management Systems

The recent growth in sensor technology allows easier information gathering in real-time as sensors have grown smaller, more accurate, and less expensive. The resulting data is often in a geo-stream format continuously changing input with a spatial extent. Researchers developing geo-streaming management systems (GSMS) require a benchmark system for evaluation, which is currently lacking. This thesis presents GSMark, a benchmark for evaluating GSMSs. GSMark provides a data generator that creates … more

Date: December 2011

Creator: Shen, Chao

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Multi-perspective, Multi-modal Image Registration and Fusion

Multi-modal image fusion is an active research area with many civilian and military applications. Fusion is defined as strategic combination of information collected by various sensors from different locations or different types in order to obtain a better understanding of an observed scene or situation. Fusion of multi-modal images cannot be completed unless these two modalities are spatially aligned. In this research, I consider two important problems. Multi-modal, multi-perspective image reg… more

Date: August 2012

Creator: Belkhouche, Mohammed Yassine

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems

High-performance computing (HPC) systems continue growing in both scale and complexity. These large-scale, heterogeneous systems generate tens of millions of log messages every day. Effective log analysis for understanding system behaviors and identifying system anomalies and failures is highly challenging. Existing log analysis approaches use line-by-line message processing. They are not effective for discovering subtle behavior patterns and their transitions, and thus may overlook some critic… more

Date: December 2019

Creator: Li, Zongze

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos

Recently, disaster scene description and indexing challenges attract the attention of researchers. In this dissertation, we solve a disaster-related multi-labeling task using a newly developed Low Altitude Disaster Imagery dataset. In the first task, we realize video content by selecting a set of summary key frames to represent the video sequence. Through inter-frame differences, the key frames are generated. The key frame extraction of disaster-related video clips is a powerful tool that can e… more

Date: December 2021

Creator: Li, Yuan

Item Type: Thesis or Dissertation

Partner: UNT Libraries