13 Matching Results

Search Results

Results: 1 - 13

Electrical Equivalent Modeling of the Reverse Electrowetting-on-Dielectric (REWOD) Based Transducer along with Highly Efficient Energy Harvesting Circuit Design towards Self-Powered Motion Sensor

Description: Among various energy harvesting technologies reverse electrowetting-on-dielectric energy harvesting (REWOD) has been proved to harvest energy from low frequency motion such as many human motion activities (e.g. walking, running, jogging etc.). Voltage rectification and DC-DC boosting of low magnitude AC voltage from REWOD can be used to reliably self-power the wearable sensors. In this work, a commercial component-based rectifier and DC-DC converter is designed and experimentally verified, for … more
Date: August 2021
Creator: Gunti, Avinash
Partner: UNT Libraries
open access

Formation Control and Path Planning Strategies for Unmanned Aerial Vehicle Swarms

Description: This dissertation focuses on the path planning of unmanned aerial vehicle (UAV) swarms under distributed and hybrid control scenarios. It presents two such models and analyzes them both from theory and practice. In the first method, a distributed formation control strategy for UAV swarm based on consensus law is presented. This model makes use of the fundamental concepts of leader-follower structure, social potential functions, and algebraic graph theory to jointly address flocking and de-confl… more
Date: August 2021
Creator: Mukherjee, Srijita
Partner: UNT Libraries
open access

Asynchronous Level Crossing ADC for Biomedical Recording Applications

Description: This thesis focuses on the recording challenges faced in biomedical systems. More specifically, the challenges in neural signal recording are explored. Instead of the typical synchronous ADC system, a level crossing ADC is detailed as it has gained recent interest for low-power biomedical systems. These systems take advantage of the time-sparse nature of the signals found in this application. A 10-bit design is presented to help capture the lower amplitude action potentials (APs) in neural sign… more
Date: August 2021
Creator: Pae, Kieren
Partner: UNT Libraries
open access

Group Testing: A Practical Approach

Description: Broadly defined, group testing is the study of finding defective items in a large set. In the medical infection setting, that implies classifying each member of a population as infected or uninfected, while minimizing the total number of tests.
Date: December 2021
Creator: Gollapudi, Sri Srujan
Partner: UNT Libraries
open access

The Convolutional Recurrent Structure in Computer Vision Applications

Description: By organically fusing the methods of convolutional neural network (CNN) and recurrent neural network (RNN), this dissertation focuses on the application of optical character recognition and image classification processing. The first part of this dissertation presents an end-to-end novel receipt recognition system for capturing effective information from receipts (CEIR). The main contributions of this research part are divided into three parts. First, this research develops a preprocessing metho… more
Date: December 2021
Creator: Xie, Dong
Partner: UNT Libraries

Analysis of the Integration of LEO Satellite Constellations into 5G Networks

Description: Low Earth orbit (LEO) satellite systems have been proposed as a resource for combating the challenges in 5G network coverage and expanding connectivity to a global realm. This research focuses on the current architecture of LEO satellite constellations, with an emphasis on satellite coverage, visibility patterns and coordination schemes. Key-elements of integrating LEO satellites into the eMBB component of 5G are presented and a breakdown of potential link channel characteristics and physical l… more
Date: December 2021
Creator: Cruz Vazquez, Martin
Partner: UNT Libraries

Design of Low-Power Front End Compressive Sensing Circuitry and Energy Harvesting Transducer Modeling for Self-Powered Motion Sensor

Description: Compressed sensing (CS) is an innovative approach of signal processing that facilitates sub-Nyquist processing of bio-signals, such as a neural signal, electrocardiogram (ECG), and electroencephalogram (EEG). This strategy can be used to lower the data rate to realize ultra-low-power performance, As the count of recording channels increases, data volume is increased resulting in impermissible transmitting power. This thesis work presents the implementation of a CMOS-based front-end design with … more
Date: August 2021
Creator: Kakaraparty, Karthikeya Anil Kumar
Partner: UNT Libraries
open access

Estimation of Drone Location Using Received Signal Strength Indicator

Description: The main objective of this thesis is to propose a UAV (also called as drones) location estimation system based on LoRaWAN using received signal strength indicator in a GPS denied environment. The drones are finding new applications in areas such as surveillance, search, rescue missions, package delivery, and precision agriculture. Nearly all applications require the localization of UAV during flight. Localization is the method of determining a UAVs physical position using a real or virtual coor… more
Date: August 2021
Creator: Jagini, Varun Kumar
Partner: UNT Libraries
open access

Traditional and Deep Learning Approaches to Color Image Compression and Pattern Recognition Problems

Description: This thesis includes three separate research projects focusing on computer vision principles and deep learning pattern recognition problems. Chapter 3 entails color quantization applications using traditional Kmeans clustering techniques and random selection of color techniques within the red, green, blue (RGB) color space to maintain a high-quality image while significantly reducing image file size. Chapter 4 consists of a handwriting character recognition algorithm using backpropagation to cl… more
Date: August 2021
Creator: Jaques, Lorenzo E
Partner: UNT Libraries
open access

Group Testing with Greedy Algorithm

Description: Group testing is all about identifying properties of a set of elements by testing them.
Date: August 2021
Creator: Mathapati, Venkata Sai Pavan Vineeth
Partner: UNT Libraries
open access

Object Detection for Aerial View Images: Dataset and Learning Rate

Description: In recent years, deep learning based computer vision technology has developed rapidly. This is not only due to the improvement of computing power, but also due to the emergence of high-quality datasets. The combination of object detectors and drones has great potential in the field of rescue and disaster relief. We created an image dataset specifically for vision applications on drone platforms. The dataset contains 5000 images, and each image is carefully labeled according to the PASCAL VOC st… more
Date: May 2021
Creator: Qi, Yunlong
Partner: UNT Libraries
open access

Development and Application of Novel Computer Vision and Machine Learning Techniques

Description: The following thesis proposes solutions to problems in two main areas of focus, computer vision and machine learning. Chapter 2 utilizes traditional computer vision methods implemented in a novel manner to successfully identify overlays contained in broadcast footage. The remaining chapters explore machine learning algorithms and apply them in various manners to big data, multi-channel image data, and ECG data. L1 and L2 principal component analysis (PCA) algorithms are implemented and tested a… more
Date: August 2021
Creator: Depoian, Arthur Charles, II
Partner: UNT Libraries
open access

Air Corridors: Concept, Design, Simulation, and Rules of Engagement

Description: Air corridors are an integral part of the advanced air mobility infrastructure. They are the virtual highways in the sky for transportation of people and cargo in the controlled airspace at an altitude of around 1000 ft. to 2000 ft. above the ground level. This paper presents fundamental insights into the design of air corridors with high operational efficiency as well as zero collisions. It begins with the definitions of air cube, skylane or track, intersection, vertiport, gate, and air corrid… more
Date: December 2021
Creator: Muna, Sabrina Islam
Partner: UNT Libraries
Back to Top of Screen