UNT Theses and Dissertations - 133 Matching Results

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3GPP Long Term Evolution LTE Scheduling

Description: Future generation cellular networks are expected to deliver an omnipresent broadband access network for an endlessly increasing number of subscribers. Long term Evolution (LTE) represents a significant milestone towards wireless networks known as 4G cellular networks. A key feature of LTE is the implementation of enhanced Radio Resource Management (RRM) mechanism to improve the system performance. The structure of LTE networks was simplified by diminishing the number of the nodes of the core ne… more
Date: December 2013
Creator: Alotaibi, Sultan
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Adaptive Planning and Prediction in Agent-Supported Distributed Collaboration.

Description: 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: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Algorithm Optimizations in Genomic Analysis Using Entropic Dissection

Description: In recent years, the collection of genomic data has skyrocketed and databases of genomic data are growing at a faster rate than ever before. Although many computational methods have been developed to interpret these data, they tend to struggle to process the ever increasing file sizes that are being produced and fail to take advantage of the advances in multi-core processors by using parallel processing. In some instances, loss of accuracy has been a necessary trade off to allow faster comput… more
Date: August 2015
Creator: Danks, Jacob R.
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Anchor Nodes Placement for Effective Passive Localization

Description: Wireless sensor networks are composed of sensor nodes, which can monitor an environment and observe events of interest. These networks are applied in various fields including but not limited to environmental, industrial and habitat monitoring. In many applications, the exact location of the sensor nodes is unknown after deployment. Localization is a process used to find sensor node's positional coordinates, which is vital information. The localization is generally assisted by anchor nodes that … more
Date: August 2010
Creator: Pasupathy, Karthikeyan
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

An Approach Towards Self-Supervised Classification Using Cyc

Description: Due to the long duration required to perform manual knowledge entry by human knowledge engineers it is desirable to find methods to automatically acquire knowledge about the world by accessing online information. In this work I examine using the Cyc ontology to guide the creation of Naïve Bayes classifiers to provide knowledge about items described in Wikipedia articles. Given an initial set of Wikipedia articles the system uses the ontology to create positive and negative training sets for the… more
Date: December 2006
Creator: Coursey, Kino High
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Automated Classification of Emotions Using Song Lyrics

Description: This thesis explores the classification of emotions in song lyrics, using automatic approaches applied to a novel corpus of 100 popular songs. I use crowd sourcing via Amazon Mechanical Turk to collect line-level emotions annotations for this collection of song lyrics.  I then build classifiers that rely on textual features to automatically identify the presence of one or more of the following six Ekman emotions: anger, disgust, fear, joy, sadness and surprise. I compare different classificatio… more
Date: December 2012
Creator: Schellenberg, Rajitha
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Automated Defense Against Worm Propagation.

Description: Worms have caused significant destruction over the last few years. Network security elements such as firewalls, IDS, etc have been ineffective against worms. Some worms are so fast that a manual intervention is not possible. This brings in the need for a stronger security architecture which can automatically react to stop worm propagation. The method has to be signature independent so that it can stop new worms. In this thesis, an automated defense system (ADS) is developed to automate defense… more
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Date: December 2005
Creator: Patwardhan, Sudeep
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Automated GUI Tests Generation for Android Apps Using Q-learning

Description: Mobile applications are growing in popularity and pose new problems in the area of software testing. In particular, mobile applications heavily depend upon user interactions and a dynamically changing environment of system events. In this thesis, we focus on user-driven events and use Q-learning, a reinforcement machine learning algorithm, to generate tests for Android applications under test (AUT). We implement a framework that automates the generation of GUI test cases by using our Q-learning… more
Date: May 2017
Creator: Koppula, Sreedevi
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Automated Syndromic Surveillance using Intelligent Mobile Agents

Description: Current syndromic surveillance systems utilize centralized databases that are neither scalable in storage space nor in computing power. Such systems are limited in the amount of syndromic data that may be collected and analyzed for the early detection of infectious disease outbreaks. However, with the increased prevalence of international travel, public health monitoring must extend beyond the borders of municipalities or states which will require the ability to store vasts amount of data and s… more
Date: December 2007
Creator: Miller, Paul
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Automatic Removal of Complex Shadows From Indoor Videos

Description: Shadows in indoor scenarios are usually characterized with multiple light sources that produce complex shadow patterns of a single object. Without removing shadow, the foreground object tends to be erroneously segmented. The inconsistent hue and intensity of shadows make automatic removal a challenging task. In this thesis, a dynamic thresholding and transfer learning-based method for removing shadows is proposed. The method suppresses light shadows with a dynamically computed threshold and rem… more
Date: August 2015
Creator: Mohapatra, Deepankar
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Automatic Tagging of Communication Data

Description: Globally distributed software teams are widespread throughout industry. But finding reliable methods that can properly assess a team's activities is a real challenge. Methods such as surveys and manual coding of activities are too time consuming and are often unreliable. Recent advances in information retrieval and linguistics, however, suggest that automated and/or semi-automated text classification algorithms could be an effective way of finding differences in the communication patterns among… more
Date: August 2012
Creator: Hoyt, Matthew Ray
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems

Description: The increasingly popular cloud-computing paradigm provides on-demand access to computing and storage with the appearance of unlimited resources. Users are given access to a variety of data and software utilities to manage their work. Users rent virtual resources and pay for only what they use. In spite of the many benefits that cloud computing promises, the lack of dependability in shared virtualized infrastructures is a major obstacle for its wider adoption, especially for mission-critical app… more
Date: May 2014
Creator: Guan, Qiang
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Autonomic Zero Trust Framework for Network Protection

Description: With the technological improvements, the number of Internet connected devices is increasing tremendously. We also observe an increase in cyberattacks since the attackers want to use all these interconnected devices for malicious intention. Even though there exist many proactive security solutions, it is not practical to run all the security solutions on them as they have limited computational resources and even battery operated. As an alternative, Zero Trust Architecture (ZTA) has become popula… more
Date: May 2022
Creator: Durflinger, James
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases

Description: Abstract Probabilistic reasoning under uncertainty suits well to analysis of disease dynamics. The stochastic nature of disease progression is modeled by applying the principles of Bayesian learning. Bayesian learning predicts the disease progression, including prevalence and incidence, for a geographic region and demographic composition. Public health resources, prioritized by the order of risk levels of the population, will efficiently minimize the disease spread and curtail the epidemic at … more
Date: May 2006
Creator: Abbas, Kaja Moinudeen
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

BC Framework for CAV Edge Computing

Description: Edge computing and CAV (Connected Autonomous Vehicle) fields can work as a team. With the short latency and high responsiveness of edge computing, it is a better fit than cloud computing in the CAV field. Moreover, containerized applications are getting rid of the annoying procedures for setting the required environment. So that deployment of applications on new machines is much more user-friendly than before. Therefore, this paper proposes a framework developed for the CAV edge computing scena… more
Date: May 2020
Creator: Chen, Haidi
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Biomedical Semantic Embeddings: Using Hybrid Sentences to Construct Biomedical Word Embeddings and its Applications

Description: Word embeddings is a useful method that has shown enormous success in various NLP tasks, not only in open domain but also in biomedical domain. The biomedical domain provides various domain specific resources and tools that can be exploited to improve performance of these word embeddings. However, most of the research related to word embeddings in biomedical domain focuses on analysis of model architecture, hyper-parameters and input text. In this paper, we use SemMedDB to design new sentences … more
Date: December 2019
Creator: Shaik, Arshad
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Boosting for Learning From Imbalanced, Multiclass Data Sets

Description: In many real-world applications, it is common to have uneven number of examples among multiple classes. The data imbalance, however, usually complicates the learning process, especially for the minority classes, and results in deteriorated performance. Boosting methods were proposed to handle the imbalance problem. These methods need elongated training time and require diversity among the classifiers of the ensemble to achieve improved performance. Additionally, extending the boosting method to… more
Date: December 2013
Creator: Abouelenien, Mohamed
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures

Description: In recent years, brain computer interfaces (BCIs) have gained popularity in non-medical domains such as the gaming, entertainment, personal health, and marketing industries. A growing number of companies offer various inexpensive consumer grade BCIs and some of these companies have recently introduced the concept of BCI "App stores" in order to facilitate the expansion of BCI applications and provide software development kits (SDKs) for other developers to create new applications for their devi… more
Date: May 2017
Creator: Bhalotiya, Anuj Arun
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

BSM Message and Video Streaming Quality Comparative Analysis Using Wave Short Message Protocol (WSMP)

Description: Vehicular ad-hoc networks (VANETs) are used for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. The IEEE 802.11p/WAVE (Wireless Access in Vehicular Environment) and with WAVE Short Messaging Protocol (WSMP) has been proposed as the standard protocol for designing applications for VANETs. This communication protocol must be thoroughly tested before reliable and efficient applications can be built using its protocols. In this paper, we perform on-road experiments in a… more
Date: August 2019
Creator: Win, Htoo Aung
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Classifying Pairwise Object Interactions: A Trajectory Analytics Approach

Description: 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: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

CLUE: A Cluster Evaluation Tool

Description: Modern high performance computing is dependent on parallel processing systems. Most current benchmarks reveal only the high level computational throughput metrics, which may be sufficient for single processor systems, but can lead to a misrepresentation of true system capability for parallel systems. A new benchmark is therefore proposed. CLUE (Cluster Evaluator) uses a cellular automata algorithm to evaluate the scalability of parallel processing machines. The benchmark also uses algorithmic v… more
Date: December 2006
Creator: Parker, Brandon S.
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Computational Epidemiology - Analyzing Exposure Risk: A Deterministic, Agent-Based Approach

Description: Many infectious diseases are spread through interactions between susceptible and infectious individuals. Keeping track of where each exposure to the disease took place, when it took place, and which individuals were involved in the exposure can give public health officials important information that they may use to formulate their interventions. Further, knowing which individuals in the population are at the highest risk of becoming infected with the disease may prove to be a useful tool for pu… more
Date: August 2009
Creator: O'Neill, Martin Joseph, II
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Computational Methods for Discovering and Analyzing Causal Relationships in Health Data

Description: Publicly available datasets in health science are often large and observational, in contrast to experimental datasets where a small number of data are collected in controlled experiments. Variables' causal relationships in the observational dataset are yet to be determined. However, there is a significant interest in health science to discover and analyze causal relationships from health data since identified causal relationships will greatly facilitate medical professionals to prevent diseases… more
Date: August 2015
Creator: Liang, Yiheng
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies

Description: POD (Point of Dispensing)-based emergency response plans involving mass prophylaxis may seem feasible when considering the choice of dispensing points within a region, overall population density, and estimated traffic demands. However, the plan may fail to serve particular vulnerable sub-populations, resulting in access disparities during emergency response. Federal authorities emphasize on the need to identify sub-populations that cannot avail regular services during an emergency due to their … more
Date: August 2015
Creator: Indrakanti, Saratchandra
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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