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open access

Spectrum Analysis and Prediction Using Long Short Term Memory Neural Networks and Cognitive Radios

Description: One statement that we can make with absolute certainty in our current time is that wireless communication is now the standard and the de-facto type of communication. Cognitive radios are able to interpret the frequency spectrum and adapt. The aim of this work is to be able to predict whether a frequency channel is going to be busy or free in a specific time located in the future. To do this, the problem is modeled as a time series problem where each usage of a channel is treated as a sequence o… more
Date: December 2017
Creator: Hernandez Villapol, Jorge Luis
Partner: UNT Libraries
open access

Human-Machine Interface Using Facial Gesture Recognition

Description: This Master thesis proposes a human-computer interface for individual with limited hand movements that incorporate the use of facial gesture as a means of communication. The system recognizes faces and extracts facial gestures to map them into Morse code that would be translated in English in real time. The system is implemented on a MACBOOK computer using Python software, OpenCV library, and Dlib library. The system is tested by 6 students. Five of the testers were not familiar with Morse code… more
Date: December 2017
Creator: Toure, Zikra
Partner: UNT Libraries
open access

A Study of Anti-collision Multi-tag Identification Algorithms for Passive RFID Systems

Description: The major advantages of radio frequency identification (RFID) technology over barcodes are that the RFID-tagged objects do not require to be in line-of-sight with the reader for their identification and multiple objects can be read simultaneously. But when multiple objects are read simultaneously there is always a problem of collision which reduces the efficiency of the system. This thesis presents a comprehensive study of the dynamic framed slotted ALOHA (DFSA)-based anti-collision multi-tag i… more
Date: May 2010
Creator: Kamineni, Neelima
Partner: UNT Libraries
open access

Data Transmission in Quantized Consensus

Description: In the world of networked system, average consensus is an important dimension of co-ordinate control and cooperation. Since the communication medium is digital, real value cannot be transmitted and we need to perform quantization before data transmission. But for the quantization, error is introduced in exact value and initial average is lost. Based on this limitation, my 16 bit quantization method (sending MSB in 1-4 cycle and MSB+LSB in 5th cycle) reduces error significantly and preserves ini… more
Date: May 2013
Creator: Parvez, Imtiaz
Partner: UNT Libraries
open access

Design and Implementation of Communication Platform for Autonomous Decentralized Systems

Description: This thesis deals with the decentralized autonomous system, in which individual nodes acting like peers, communicate and participate in collaborative tasks and decision making processes. An experimental test-bed is created using four Garcia robots. The robots act like peers and interact with each other using user datagram protocol (UDP) messages. Each robot continuously monitors for messages coming from other robots and respond accordingly. Each robot broadcasts its location to all the other ro… more
Date: December 2010
Creator: Gottipati, Naga Sravani
Partner: UNT Libraries
open access

Cooperation of Autonomous NXT Robots Using Bluetooth Wireless Technology

Description: This report discusses research on cooperation of autonomous NXT robots using Bluetooth wireless technology. The research project consisted of using Bluetooth technology to coordinate movements between two agents. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Date: 2013
Creator: Bell, Jesse; Freeman, Elizabeth; Namuduri, Kamesh & Costilla, Omar
Partner: UNT College of Engineering
open access

Statistical Strategies for Efficient Signal Detection and Parameter Estimation in Wireless Sensor Networks

Description: This dissertation investigates data reduction strategies from a signal processing perspective in centralized detection and estimation applications. First, it considers a deterministic source observed by a network of sensors and develops an analytical strategy for ranking sensor transmissions based on the magnitude of their test statistics. The benefit of the proposed strategy is that the decision to transmit or not to transmit observations to the fusion center can be made at the sensor level re… more
Date: December 2013
Creator: Ayeh, Eric
Partner: UNT Libraries
open access

Parameter Estimation Using Consensus Building Strategies with Application to Sensor Networks

Description: Sensor network plays a significant role in determining the performance of network inference tasks. A wireless sensor network with a large number of sensor nodes can be used as an effective tool for gathering data in various situations. One of the major issues in WSN is developing an efficient protocol which has a significant impact on the convergence of the network. Parameter estimation is one of the most important applications of sensor network. In order to model such large and complex network… more
Date: December 2013
Creator: Dasgupta, Kaushani
Partner: UNT Libraries
open access

Development of High Gain Ultraviolet Photo Detectors Based on Zinc Oxide Nanowires

Description: Semiconductor nanowires acts as an emerging class of materials with great potential for applications in future electronic devices. Small size, large surface to volume ratio and high carrier mobility of nanowires make them potentially useful for electronic applications with high integration density. In this thesis, the focus was on the growth of high quality ZnO nanowires, fabrication of field effect transistors and UV- photodetectros based on them. Intrinsic nanowire parameters such as carrier … more
Date: May 2014
Creator: Mallampati, Bhargav
Partner: UNT Libraries
open access

Analysis of Pre-ictal and Non-Ictal EEG Activity: An EMOTIV and LabVIEW Approach

Description: In the past few years, the study of electrical activity in the brain and its interactions with the body has become popular among researchers. One of the hottest topics related to brain activity is the epileptic seizure prediction. Currently, there are several techniques on how to predict a seizure; however, most of the techniques found in research papers are just mathematical models and not system implementations. The seizure prediction approach proposed in this thesis paper is achieved using t… more
Date: December 2016
Creator: Medina, Oscar F
Partner: UNT Libraries
open access

Investigation of the Effect of Functional Units/Connectivity Arrangement on Energy Consumption of Reconfigurable Architectures Using an Interactive Design Framework

Description: Allocation of expensive resources, (such as Multiplier) onto the CGRA has been of interest from quite some time. For these architectural solutions to fulfill the designers' requirements, it is of utmost importance that the design offers high performance, low power consumption, and effective area utilization. The allocation problem is studied using the UntangledII gaming environment, which has been developed at the Reconfigurable Computing Lab at UNT to discover the design of custom domain-spec… more
Date: August 2017
Creator: Bhargava, Arpita
Partner: UNT Libraries
open access

A Convergence Analysis of LDPC Decoding Based on Eigenvalues

Description: Low-density parity check (LDPC) codes are very popular among error correction codes because of their high-performance capacity. Numerous investigations have been carried out to analyze the performance and simplify the implementation of LDPC codes. Relatively slow convergence of iterative decoding algorithm affects the performance of LDPC codes. Faster convergence can be achieved by reducing the number of iterations during the decoding process. In this thesis, a new approach for faster convergen… more
Date: August 2017
Creator: Kharate, Neha Ashok
Partner: UNT Libraries
open access

Formation Control of Multi-Agent Systems

Description: Formation control is a classical problem and has been a prime topic of interest among the scientific community in the past few years. Although a vast amount of literature exists in this field, there are still many open questions that require an in-depth understanding and a new perspective. This thesis contributes towards exploring the wide dimensions of formation control and implementing a formation control scheme for a group of multi-agent systems. These systems are autonomous in nature and ar… more
Date: August 2017
Creator: Mukherjee, Srijita
Partner: UNT Libraries
open access

The Art and Science of Data Analysis

Description: This thesis aims to utilize data analysis and predictive modeling techniques and apply them in different domains for gaining insights. The topics were chosen keeping the same in mind. Analysis of customer interests is a crucial factor in present marketing trends and hence we worked on twitter data which is a significant part of digital marketing. Neuroscience, especially psychological behavior, is an important research area. We chose eye tracking data based on which we differentiated human conc… more
Date: May 2018
Creator: Daita, Ananda Rohit
Partner: UNT Libraries
open access

Design and Implementation of Large-Scale Wireless Sensor Networks for Environmental Monitoring Applications

Description: Environmental monitoring represents a major application domain for wireless sensor networks (WSN). However, despite significant advances in recent years, there are still many challenging issues to be addressed to exploit the full potential of the emerging WSN technology. In this dissertation, we introduce the design and implementation of low-power wireless sensor networks for long-term, autonomous, and near-real-time environmental monitoring applications. We have developed an out-of-box solutio… more
Date: May 2010
Creator: Yang, Jue
Partner: UNT Libraries
open access

Efficient Convolutional Neural Networks for Image Processing Applications

Description: Modern machine learning techniques focus on extremely deep and multi-pathed networks, resulting in large memory and computational requirements. This thesis explores techniques for designing efficient convolutional networks including pixel shuffling, depthwise convolutions, and various activation fucntions. These techniques are then applied to two image processing domains: single-image super-resolution and image compression. The super-resolution model, TinyPSSR, is one-third the size of the next… more
Date: August 2022
Creator: Chiapputo, Nicholas J.
Partner: UNT Libraries
open access

Advances to Convolutional Neural Network Architectures for Prediction and Classification with Applications in the First Dimensional Space

Description: In the vast field of signal processing, machine learning is rapidly expanding its domain into all realms. As a constituent of this expansion, this thesis presents contributive work on advancements in machine learning algorithms by building on the shoulder of giants. The first chapter of this thesis contains enhancements to a CNN (convolutional neural network) for better classification of heartbeat arrhythmia. The network goes through a two stage development, the first being augmentations to the… more
Date: August 2022
Creator: Kim, Hae Jin
Partner: UNT Libraries
open access

The Chief Security Officer Problem

Description: The Chief Security Officer Problem (CSO) consists of a CSO, a group of agents trying to communicate with the CSO and a group of eavesdroppers trying to listen to the conversations between the CSO and its agents. Through Lemmas and Theorems, several Information Theoretic questions are answered.
Date: December 2018
Creator: Tanga, Vikas Reddy
Partner: UNT Libraries
open access

A Comprehensive Modeling Framework for Airborne Mobility

Description: Mobility models serve as the foundation for evaluating and designing airborne networks. Due to the significant impact of mobility models on the network performance, mobility models for airborne networks (ANs) must realistically capture the attributes of ANs. In this paper, I develop a comprehensive modeling framework for ANs. The work I have done is concluded as the following three parts. First, I perform a comprehensive and comparative analysis of AN mobility models and evaluate the models bas… more
Date: December 2013
Creator: Xie, Junfei
Partner: UNT Libraries
open access

PM2.5 Particle Sensing and Fit Factor Test of a Respirator with SAW-Based Sensor

Description: PM2.5 particle sensing has been done using surface acoustic wave based sensor for two different frequencies. Due to mass loading and elasticity loading on the sensor's surface, the center frequency of the sensor shifts. The particle concentration can be tracked based on that frequency shift. The fit factor test has been conducted using higher frequency SAW sensor. The consist results has been achieved for particle sensing and fit factor test with SAW based sensor.
Date: May 2023
Creator: Desai, Mitali Hardik
Partner: UNT Libraries
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