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Research, Teaching, and Outreach
This presentation discusses research in sensor network routing, WiFi network optimization, 3G cellular call admission, and the outreach and resources needed.
Subscriber Maximization in CDMA Cellular Networks
This presentation gives an overview of code division multiple access (CDMA), traffic and mobility models, subscriber optimization formulation, and numerical results.
Subscriber Maximization in CDMA Cellular Networks
This paper discusses subscriber maximization in CDMA cellular networks.
WiFi and WCDMA Network Design
This presentation discusses WiFi access point selection and traffic balancing, multi-cell wideband code division multiple access (WCDMA) with multiple classes, user modeling using 2D Gaussian distribution, and intra-cell and inter-cell interference and capacity.
Dynamic Channel Assignment in IEEE 802.11 Networks
This paper discusses dynamic channel assignment in IEEE 802.11 networks.
Simulation of Throughput in UMTS Networks with Different Spreading Factors
In this paper, the authors design and implement a local session admission control (SAC) algorithm for third-generation wireless networks which allows for the simulation of network throughput for different spreading factors and various mobility scenarios.
Retention and Recruitment of Women in Computer Engineering
This presentation discusses strategies and goals for recruiting more women to Computer Science and Engineering degree (CSE) programs at the University of North Texas (UNT). It also describes a series of activities aimed at improving retention rates of women students already in our programs. Such recruitment and retention of women is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the CSE Department at UNT.
Retention and Recruitment of Women in Computer Engineering
This paper describes the efforts and results of a plan for actively recruiting women students to undergraduate computer engineering programs at the University of North Texas (UNT). It also describes a series of activities aimed at improving retention rates of women students already in our programs. Such recruitment and retention of women is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the Computer Science and Engineering (CSE) Department at UNT.
Modeling and Analysis Using Computational Tools
This book chapter presents two special algorithms, Mean Value Analysis and Convolution Algorithm, for the analysis of closed queuing networks, and an introduction to simulation techniques that are widely used in analyzing queuing systems in general.
Robocamp: Encouraging Young Women to Embrace STEM
This paper describes the efforts and results of a plan for actively recruiting students to undergraduate computer science and engineering programs at the University of North Texas (UNT). Such recruitment of students is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the Computer Science and Engineering (CSE) Department at UNT.
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control
This paper discusses capacity allocation in multi-cell UMTS networks.
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control [Presentation]
This presentation discusses user and interference models, wideband code division multiple access (WCDMA) capacity with perfect and imperfect power control, and spreading factors with numerical results.
UMTS Capacity and Throughput Maximization for Different Spreading Factors
This article discusses UMTS capacity and throughput maximization for different spreading factors.
Optimal Access Point Selection and Traffic Allocation in IEEE 802.11 Networks
This paper discusses optimal access point selection and the traffic allocation in IEEE 802.11 networks.
Global versus Local Call Admission Control in CDMA Cellular Networks
This paper discusses global versus local call admission control.
Global versus Local Call Admission Control in CDMA Cellular Networks [Presentation]
This presentation discusses interference model impacts on capacity, global call admission controls, local call admission controls, and the differences in global versus local call admission controls.
Impact of Interference Model on Capacity in CDMA Cellular Networks
This paper discusses an impact of interference model on capacity in CDMA cellular networks.
Impact of Interference Model on Capacity in CDMA Cellular Networks
This presentation introduces code division multiple access (CDMA) networks, average and actual interference models, optimized capacity, and the 2D Gaussian user model.
Hybrid Energy-Aware Synchronization Algorithm in Wireless Sensor Networks
This paper discusses a time synchronization scheme for wireless sensor networks that aims to conserve sensor battery power while maintaining network connectivity for as long as possible.
Grid-based Coordinated Routing in Wireless Sensor Networks
This paper discusses grid-based coordinated routing in wireless sensor networks and compares the energy available in the network over time for different grid sizes. The authors explore the quality of service of wireless sensor networks, how the coordinator nodes are elected, and the size of the grid area that will minimize the total energy consumption and extend the lifetime of the network.
Mobility-Based CAC Algorithm for Arbitrary Call-Arrival Rates in CDMA Cellular Systems
Article on a mobility-based CAC algorithm for arbitrary call-arrival rates in CDMA cellular systems.
Call Admission Control Scheme for Arbitrary Traffic Distribution in CDMA Cellular Systems
This presentation discusses call admission control (CAC). The authors define a set of feasible call configurations that results in a CAC algorithm that captures the effect of having an arbitrary traffic distribution and whose complexity scales linearly with the number of cells.
Cell Placement in a CDMA Network
This presentation discusses research on cell placement in a CDMA network. In order to enable iterative cell placement the authors use a computationally efficient iterative process to calculate the inter-cell and intra-cell interferences as a function of pilot-signal power and base station location.
Flexible Allocation of Capacity in Multi-Cell CDMA Networks
This presentation discusses flexible allocation of capacity in multi-cell CDMA networks. The effect of reverse power levels on the capacity of a code-division multiple-access (CDMA) cellular network is evaluated.
Multicell CDMA Network Design
This article discusses multicell CDMA network design.
Non-Uniform Grid-Based Routing in Sensor Networks
This paper discusses non-uniform grid-based routing in sensor networks.
Nonuniform Grid-Based Coordinated Routing in Wireless Sensor Networks
This article discusses nonuniform grid-based coordinated routing in wireless sensor networks.
Self-Configuring Wireless MEMS Network
This presentation discusses miniature, lightweight, self-powered wireless sensors, and networking software needs.
Robocamp: Encouraging Young Women to Embrace STEM
This presentation discusses Robocamp, a special summer camp that was created by the University of North Texas (UNT) Computer Science and Engineering department. Robocamp successfully promotes engineering among high school women.
Strategies for Retention and Recruitment of Women and Minorities in Computer Science and Engineering
Article discussing strategies for the retention and recruitment of women and minorities in computer science and engineering.
Throughput Optimization in Multi-Cell CDMA Networks
In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile.
Effects of Interference on Capacity in Multi-Cell CDMA Networks
This article discusses the effects of interference on capacity in multi-cell CDMA networks.
Anchor Nodes Placement for Effective Passive Localization
This paper discusses anchor nodes placement for effective passive localization. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes share linearity.
Hybrid Approach for Energy-Aware Synchronization
This book chapter discusses a time synchronization scheme for wireless sensor networks that aims to save sensor battery power while maintaining network connectivity for as long as possible.
Indoor Propagation Modeling at 2.4 GHZ for IEEE 802.11 Networks
This paper discusses indoor propagation modeling.
Epidemiological modelling of vaccination and reduced funeral rites interventions on the peproduction number, Râ‚€ of Ebola virus disease in West Africa
This article examines the impacts of control measures on the reproduction number of the Ebola virus using a mathematically-based computational model. Specifically, the authors study the effects of vaccination and reduced funeral rites. This model could be used to forecast the duration of an Ebola epidemic in any country.
Modelling HIV Intervention among Most-at-Risk/Key Population: Case Study of FWSS in Nigeria
This article discusses a novel risk equation for estimating new infections among Females who Sell Sex (FWSS), their clients, and communities.
Enhanced Channel Assignment and Load Distribution in IEEE 802.11 WLANs
This paper discusses enhanced channel assignment and load distribution in IEEE 802.11 WLANs.
Advanced Air Mobility Operation and Infrastructure for Sustainable Connected eVTOL Vehicle
Article discusses how advanced air mobility (AAM) is an emerging sector in aviation aiming to offer secure, efficient, and eco-friendly transportation utilizing electric vertical takeoff and landing (eVTOL) aircraft. This paper introduces a novel concept addressing future flight challenges and proposes a framework for integrating operations, infrastructure, connectivity, and ecosystems in future air mobility.
[Transdisciplinary Ancestral Genomic Research Investigations (TAGRI) II Conference Presentations on Artificial Intelligence in Health Research]
Video recording of Dr. Mark V. Albert's presentation, "Artificial Intelligence and Applications in Genomics Research: Assessment of Mobility in Diverse Patient Populations" and Dr. Heather Wheeler's presentation, "Transcriptome Prediction Performance Across Machine Learning Models and Diverse Ancestries." They were presented at the Transdisciplinary Ancestral Genomic Research Investigations (TAGRI) II Conference held online November 5-6, 2021.
Hidden Markov model-based activity recognition for toddlers
Article describes study which sought to evaluate methods for activity recognition for toddlers.
Towards Comprehensive Syntactic and Semantic Annotations of the Clinical Narrative
This article discusses the creation of annotated clinical narratives with layers of syntactic and semantic labels to facilitate advances in clinical natural language processing (NLP).
Parity Assisted Decision Making for QAM Modulation
This paper discusses parity assisted decision making for QAM modulation.
I Cannot See You—The Perspectives of Deaf Students to Online Learning during COVID-19 Pandemic: Saudi Arabia Case Study
This article investigates the e-learning experiences of deaf students, focusing on the college of the Technical and Vocational Training Corporation (TVTC) in the Kingdom of Saudi Arabia (KSA). Particularly, it studies the challenges and concerns faced by deaf students during the sudden shift to online learning. Results report problems with internet access, inadequate support, and inaccessibility of content from learning systems, among other issues. The authors argue that institutions should consider a procedure to create more accessible technology that is adaptable during the pandemic to serve individuals with diverse needs.
Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends
Article states that vaccines, though reliable preventative measures for diseases, also raise public concerns; public apprehension and doubts challenge the acceptance of new vaccines including the COVID-19 vaccines. This study is the first attempt to review the role of AI approaches in COVID-19 vaccination-related sentiment analysis.
FlexiChain 3.0: Distributed Ledger Technology-Based Intelligent Transportation for Vehicular Digital Asset Exchange in Smart Cities
Article describes how, due to the enormous amounts of data being generated between users, Intelligent Transportation Systems (ITS) are complex Cyber-Physical Systems that necessitate a reliable and safe infrastructure. In this work, the authors explore Distributed Ledger Technology (DLT) and collect data about consensus algorithms and their applicability to be used in the IoV as the backbone of ITS.
Eficiência de um sistema piloto de dessalinização de água salobra
Article describes study which sought to evaluate the efficiency of pilot water desalination system treating brackish water which was obtained mixing fresh water and seawater up to reach 1,500 mg L-1 of total dissolved solids (TDS) concentration.
Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies
Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.
Measuring the impact of suspending Umrah, a global mass gathering in Saudi Arabia on the COVID‑19 pandemic
This article uses a stratified SEIR epidemic model to evaluate the impact of Umrah, a global Muslim pilgrimage to Mecca, on the spread of the COVID-19 pandemic during the month of Ramadan, the peak of the Umrah season. The analyses provide insights into the effects of global mass gatherings on the progression of the COVID-19 pandemic locally and globally.
Data Mining Techniques for Predicting Breast Cancer Survivability Among Women in the United States
Poster for the 2014 UNT Graduate Exhibition in the Computer Science and Information Technology category. This poster discusses data mining techniques for predicting breast cancer survivability among women in the United States.
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