Theses and Dissertations-Ingram School of Engineering

Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms

Paul, Kamal Chandra (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 ...

Feasibility study of thermoplastic nanocomposite for ESD applications using additive manufacturing

Navale, Sagar Vijay (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 ...

Design of Prosumer Migrogrid and virtual powerplants for multi-tier manufacturing supply chains

Kumar Prabha, Siva Prashanth (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 ...

Robot Learning for Object Handling in an Unstructured Environment

Cao, Cheng (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. ...

Developing a speech emotion recognition solution using ensemble learning for children with autism spectrum disorder to help identify human emotions

Matin, Rezwan (2020-12)

In this thesis work, a robust speech emotion recognition system has been developed to be used by children with autism spectrum disorder (ASD). Children with ASD have difficulty identifying human emotions during social ...

Conversion of Sparse Matrix to Band Matrix Using FPGA for High-Performance Computing

Chaudhary, Anjani (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, ...

Deep Convolutional Neural Network Design Approach for 3D-Object Detection for Robotic Grasping

Sharma, Purvesh (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

Islam, Shafinaz (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 ...

Herpetofauna Species Classification from Camera Trap Images Using Deep Neural Network for Conservation Monitoring

Binta Islam, Sazida (2020-12)

Protection of endangered species requires continuous monitoring and updated information about the existence, location, and behavioral alterations in their habitat. Remotely activated camera or “camera traps” represent ...

Evaluation of effectiveness of Seal Coat Treatment using field data from Long-Term Pavement Performance Program

Bhandari, Sushmita (2020-12)

Over time, pavement deteriorates due to many factors such as weather, traffic, water infiltration, and degradation of the material. Pavement preservation treatment such as chip seal or seal coat treatment is a cost-effective ...

Forecasting and Stochastic Programming Models to Address Uncertainty in the Trauma System Configuration Problem

Joshi, Alakshendra (2020-11)

Trauma is an essential aspect that must be considered by governing bodies when providing and expanding healthcare services across their jurisdiction. This thesis focuses on analyzing and forecasting physical trauma ...

Uniform Multilayer Graphene for Space Plasma Instrumentation

LePere, Michael (2020-11)

With plasma being the most common state of matter in the universe, it is no wonder why astronomers and the like are very interested in studying plasma. Scientists have sent many probes, shuttles, and spacecraft into our ...

A Digital Twin Framework of a Material Handling Operator in Industry 4.0 Environments

Sharotry, Abhimanyu (2020-11)

The manufacturing and construction industries around the globe have poor occupational health and safety records. Slip & fall, manual material handling (MMH) moves, and forklift accidents are the top three causes for ...

Sentiment Analysis and Ridesharing Models of Disaster Response

Meng, Lingyu (2020-11)

Hurricanes, wildfires, floods, and earthquakes: these natural disasters remind us that humans are small and vulnerable. They destroy thousands of lives and properties, and the frequency of natural disasters is remarkably ...

Improving Alignment of Kinematically Coupled Polymer Microfluidic Modules by Modularization of Coupling Features

Miller, Joseph E. (2020-08)

Mass production of affordable microfluidic devices is a subject of importance to the biological and medical communities. If devices are cheap enough to be disposable, tests can be run at a higher rate and lower cost without ...

Using Wearable Sensors to Evaluate Material Handling Operator’s Fatigue in Repetitive Activities: A Design of Experiments Approach

Sudarsan, Madhusudan (2020-08)

Manual Material Handling is one the major causes which contributes to a large percentage of musculoskeletal disorders. In a manufacturing environment, associates lift loads repeatedly which leads to physical fatigue. ...

Design and Development of an Integrated Water System Combining Rainwater Harvesting System (RHS) and Atmospheric Water Generator (AWG)

Zohra, Fatema Tuz (2020-08)

The objective of this research is to design and develop a smart integrated water system that combines two off-grid freshwater resources- Rain Harvesting System (RHS) and Atmospheric Water Generator (AWG) to ...