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in creator/contributor: "Namuduri, Kamesh"  
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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
Item Type: Refine your search to only Report
Partner: UNT College of Engineering
open access

Applications of Logic Flowcharting With a Focus in Autonomous Robotic Operations

Description: This report discusses research on applications of logic flowcharting with a focus in autonomous robotic operations. It includes a lesson plan intended for high school students to teach flow chart use in robotics.
Date: 2012
Creator: Sink, Ashley Elizabeth; Gscheidle, Karl H.; Namuduri, Kamesh; Li, Li & Sterling, Phillip
Item Type: Refine your search to only Report
Partner: UNT College of Engineering

Robotics: Cooperation of Autonomous Robots Using Bluetooth Communication

Description: This poster discusses research on the cooperation of autonomous robots using Bluetooth communication. Researchers explore multi-agent NXT Robotics systems using a Bluetooth communication channel. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Date: 2013
Creator: Freeman, Elizabeth; Bell, Jesse; Namuduri, Kamesh & Costilla, Omar
Item Type: Refine your search to only Poster
Partner: UNT College of Engineering
open access

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

Description: Article presenting 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 corridor. Then a multi-layered air corridor model is proposed. Traffic at intersections is analyzed in detail with examples of vehicles turning in different directions. The concept of capacity of an air corridor is introduced along with the nature of distribution … more
Date: November 12, 2021
Creator: Muna, Sabrina Islam; Mukherjee, Srijita; Namuduri, Kamesh; Compere, Marc; Akbas, Mustafa Ilhan; Molnár, Péter et al.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
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
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Integrating Multiple Deep Learning Models for Disaster Description in Low-Altitude Videos

Description: Computer vision technologies are rapidly improving and becoming more important in disaster response. The majority of disaster description techniques now focus either on identify objects or categorize disasters. In this study, we trained multiple deep neural networks on low-altitude imagery with highly imbalanced and noisy labels. We utilize labeled images from the LADI dataset to formulate a solution for general problem in disaster classification and object detection. Our research integrated an… more
Date: December 2022
Creator: Wang, Haili
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Applications of Machine Learning for Remote Sensing and Environmental Monitoring

Description: This thesis covers applications of machine learning to the fields of remote sensing and environmental monitoring. First, a generalized background on the concepts, tools, and methods used throughout the remainder of the research project are introduced. Chapter 3 covers the implementation of artificial neural networks to improve low-cost particulate matter sensing networks using collocated high-quality sensors with varying dataset parameters. In Chapter 4, an attention-enhanced LSTM-Convolutional… more
Date: December 2022
Creator: Daniels, Jacob Edward
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Machine Learning Improvements for Data Partitioning and Classification Applied to Cardiac Arrhythmia Signals

Description: This thesis creates a new method for the ethical splitting of data as well as improvements to neural network architectures to increase performance. Ethical dataset splitting should be based on statistics from the data, this prevents artificial manipulation of the data that helps or hurts the performance of a network. This bias introduced to the dataset can also be present by using the popular method of randomly splitting data into datasets. To remove bias from dataset splitting, the splits of a… more
Date: December 2022
Creator: Cayce, Garrett Irwin
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Low-Power Biopotential Signal Acquisition System for Biomedical Applications

Description: The key requirements of a reliable neural signal recording system include low power to support long-term monitoring, low noise, minimum tissue damage, and wireless transmission. The neural spikes are also detected and sorted on-chip/off-chip to implement closed-loop neuromodulation in a high channel count setup. All these features together constitute an empirical neural recording system for neuroscience research. In this prospectus, we propose to develop a neural signal acquisition system with … more
Date: May 2022
Creator: Tasneem, Nishat Tarannum
Item Type: Refine your search to only Thesis or Dissertation
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
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Localization of UAVs Using Computer Vision in a GPS-Denied Environment

Description: The main objective of this thesis is to propose a localization method for a UAV using various computer vision and machine learning techniques. It plays a major role in planning the strategy for the flight, and acts as a navigational contingency method, in event of a GPS failure. The implementation of the algorithms employs high processing capabilities of the graphics processing unit, making it more efficient. The method involves the working of various neural networks, working in synergy to perf… more
Date: May 2022
Creator: Aluri, Ram Charan
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Analysis of Compressive Sensing and Hardware Implementation of Orthogonal Matching Pursuit

Description: My thesis is to understand the concept of compressive sensing algorithms. Compressive sensing will be a future alternate technique for the Nyquist rate, specific to some applications where sparsity property plays a major role. Software implementation of compressive sensing (CS) takes more time to reconstruct a signal from CS measurements, so we use the orthogonal matching pursuit and basis pursuit algorithms. We have used an image size of 256x256 is used for reconstruction and also implemented… more
Date: December 2022
Creator: Kadiyala, Mani Divya
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Emotion Recognition Using EEG Signals

Description: Emotions have significant importance in human life in learning, decision-making, daily interaction, and perception of the surrounding environment. Hence, it has become very essential to detect and recognize a person's emotional states and to build a connection between humans and computers. This process is called brain-computer interaction (BCI) and is a vast field of research in neuroscience. Hence, in the past few years, emotion recognition has gained adequate attention in the research communi… more
Date: May 2022
Creator: Choudhary, Sairaj Mahesh
Item Type: Refine your search to only Thesis or Dissertation
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
Item Type: Refine your search to only Thesis or Dissertation
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
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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