RSS 1.0Theses and Dissertations-Ingram School of Engineering
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Open Source Python based Hardware Verification Tool
(2021-08)Today a need for more efficient and time-effective hardware/chip verification has become a necessity due to the increasing size and complexity of several electronic devices. Everyone wants to develop new technology, and ...
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Capillary driven flows in micro-machined open polymer microchannels
(2021-08)Wettability and surface roughness have been studied for quite some years now especially in the area of microfabrication, in which more interests have been raised for the use of polymeric materials (acrylic family) for ... -
Incorporation Of High-Volume Fly Ash To Produce Structural Lightweight Concrete
(2021-08)Concrete industry is one of the main industries using large proportion and volume of our natural resources. Ordinary Portland Cement is an important source for the emission of carbon dioxide into the atmosphere because of ... -
Stochastic programming models for planning wind based distributed generation in prosumers of energy mode
(2020-05)This thesis formulates, solves and contrasts several stochastic programming models that a decision maker may use to determine the siting and sizing of distributed energy resources (DER) in a distributed generation (DG) ... -
Optimized Sparse Matrix Operations and Hardware Implementation using FPGA
(2021-08)The increasing importance of sparse connectivity representing real-world data has been exemplified by the recent work in areas of graph analytics, machine language, and high-performance. Sparse matrices are the critical ... -
Digital Signal Processing and Machine Learning Applied to Power Line Communications
(2021-08)Power Line Communications (PLC) is a technology that uses power lines to transport communication data alongside the electric power signals. Due to the ubiquitous nature of pre-existing power grid infrastructure, PLC has a ... -
Machine Learning Applications in Emergency Management
(2021-08)Emergency prediction and management are characterized by high dynamics and complexity, and inaccurate prediction and inefficient management can result in the loss of human lives and substantial environmental and economic ...
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Predict, create, control, and maintain optimum living conditions for fish and plants of an indoor aquaponics system
(2021-08)Access to clean water and food are the basic needs for everyone. The growth of population, changes in lifestyles, and pollution of resources have made access to these basic needs more difficult. To support the growing ...
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Smart Passive Ambient Control for Indoor Vertical Farming by Simulation and Empirical Study
(2021-08)The objective of this research is to design and develop a smart passive temperature control system for indoor vertical farming by simulation and empirical study. Passive temperature control is defined as the process of ...
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Design of a Novel Medium Access Control Protocol for Optimization of CDMA-based Passive RFID: Bitwise CDMA
(2018-05)UHF passive RFID is a wide and continuously growing technology. As such, it is becoming increasingly important to develop highly efficient and inexpensive RFID systems. Presently available RFID tags utilize MAC protocols ... -
Extension of the Code Division Multiple Access/Adaptive Interference Cancellation protocol through analysis and simulation
(2021-05)RFID tags find their application in many areas such as inventory tracking, shipment tracking, vehicle tracking and identification, and animal tracking and identification. Passive RFID tags have been used in most of the ...
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Vehicle Types and Colors Detection for Amber and Silver Alert Emergencies using Machine Learning
(2021-05)The National Center for Missing & Exploited Children estimated that 145 AMBER Alerts were issued in the U.S. involving 180 children in 2019, where 85% had involved vehicles, and in Florida, 136 Silver Alert was issued in ... -
A Transactive Energy Approach for Design and Operation of Battery Swap and Supercharging Infrastructure
(2021-05)Transactive energy refers to the planning and control of the two-way energy flow between distributed generation and main grid in regards to the realization of economic benefits. This study addresses two research questions ... -
Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms
(2018-12)Nowadays, face recognition plays a vital role in various security, access control, and surveillance systems. In computer vision, automatic face recognition is a challenging job in the last couple of decades. Changes ...
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Feasibility study of thermoplastic nanocomposite for ESD applications using additive manufacturing
(2018-12)Nanocomposite materials are the multiphase solid materials where one of the phases has one, two or three dimensions less than 100 nanometers (nm). Nanocomposite materials play a vital role in a wide range of applications ... -
Robot Learning for Object Handling in an Unstructured Environment
(2020-12)In the oil exploration industry, perforated pipe assembly can be a prolonged process in the manufacturing environment. A pipe keyway must be aligned to successfully assemble the perforated outer and inner pipes. ...
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Design of Prosumer Migrogrid and virtual power plants for multi-tier manufacturing supply chains
(2020-12)Production, warehousing and logistics activities consume one-third of global electricity. Generation and integration of cleaner energy is an effective way to achieve higher power efficiency and to mitigate greenhouse gas ... -
Conversion of Sparse Matrix to Band Matrix Using FPGA for High-Performance Computing
(2020-12)Low power and high computation speed with less memory storage are essential for a real-time scientific computational application. Applications such as image processing, power system, finite element system, circuit design, ...
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Deep Convolutional Neural Network Design Approach for 3D-Object Detection for Robotic Grasping
(2020-12)Recognition technology has gained state-of-the-art performance with the dawn of Deep Convolutional Neural Network (DCNN), and with these achievements in computer vision, machine learning, and 3D-sensor, industries are ... -
A call recognition approach for endangered or threatened chorusing amphibian species using deep learning architectures
(2020-12)Audio signal analysis has become prominent in biological domains for detecting endangered or threatened species like Houston toad and Crawfish frog. Researchers at Texas State University and Texas A&M University are ...
