Electrical and Computer Engineering Commons^™

Theoretical And Experimental Studies Of The Emission Of Electromagnetic Radiation By Superluminal Polarization Currents, Andrea Caroline Schmidt-Zweifel

Electrical and Computer Engineering ETDs

Maxwell’s equations establish that patterns of electric charges and currents can be animated to travel faster than the speed of light in vacuo, c, and that these superluminal distribution patterns emit tightly focused packets of electromagnetic radiation that are fundamentally different from the emissions by previously known sources -- on Earth and in the Universe. This dissertation introduces a practical faster-than-light emitter: The superluminal polarization current antenna. Such devices use a polarization current that travels faster than c to give rise to electromagnetic radiation, a technique known as the vacuum Čerenkov effect. In what is to follow, the theoretical and …

Integrating Deep Learning And Augmented Reality To Enhance Situational Awareness In Firefighting Environments, Manish Bhattarai

Electrical and Computer Engineering ETDs

We present a new four-pronged approach to build firefighter's situational awareness for the first time in the literature. We construct a series of deep learning frameworks built on top of one another to enhance the safety, efficiency, and successful completion of rescue missions conducted by firefighters in emergency first response settings. First, we used a deep Convolutional Neural Network (CNN) system to classify and identify objects of interest from thermal imagery in real-time. Next, we extended this CNN framework for object detection, tracking, segmentation with a Mask RCNN framework, and scene description with a multimodal natural language processing(NLP) framework. Third, …

Health Monitoring Using Deep Learning Of Acoustic And Speech Signals, Eric E. Hamke

Electrical and Computer Engineering ETDs

The focus of the research is to identify stress markers in a firefighter's speech. These markers include changes in breathing patterns and changes in the fundamental frequency of an individual’s voice. The breathing patterns are characterized using the number of breaths taken in a minute and the time spent inhaling. These measures are estimated using a Restricted Boltzmann Machine to process a firefighters’ SCBA regulator sounds, as open and closed. The classifications are then combined into continuous intervals. Observing the length of the intervals and the number of interval-starts represents time spent inhaling and the breathing rates (breaths per minute). …

Incentivization In Mobile Edge Computing Using A Full Bayesian Approach, Sean Lebien

Electrical and Computer Engineering ETDs

The advances of multi-access edge computing (MEC) have paved the way for the integration of the MEC servers, as intelligent entities into the Internet of Things (IoT) environment as well as into the 5G radio access networks. In this thesis, a novel artificial intelligence-based MEC servers’ activation mechanism is proposed, by adopting the principles of Reinforcement Learning (RL) and Bayesian Reasoning. The considered problem enables the MEC servers’ activation decision-making, aiming at enhancing the reputation of the overall MEC system, as well as considering the total computing costs to serve efficiently the users’ computing demands, guaranteeing at the same time …

Artificial Intelligence Enabled Distributed Edge Computing For Internet Of Things Applications, Georgios Fragkos

Electrical and Computer Engineering ETDs

Artificial Intelligence (AI) based techniques are typically used to model decision-making in terms of strategies and mechanisms that can conclude to optimal payoffs for a number of interacting entities, often presenting competitive behaviors. In this thesis, an AI-enabled multi-access edge computing (MEC) framework is proposed, supported by computing-equipped Unmanned Aerial Vehicles (UAVs) to facilitate Internet of Things (IoT) applications. Initially, the problem of determining the IoT nodes optimal data offloading strategies to the UAV-mounted MEC servers, while accounting for the IoT nodes’ communication and computation overhead, is formulated based on a game-theoretic model. The existence of at least one Pure …

Socio-Physical Human Orchestration In Smart Cities, Nathan Patrizi

Electrical and Computer Engineering ETDs

In this thesis, we present a novel socio-physical human orchestration framework to deal with the increasing complexity of smart city environments, by capitalizing on recent advances in game theory and reinforcement learning, with the goal of solving the efficient management of a smart city while improving the quality of life for the humans living in said smart city. This problem has become more challenging as the smart cities have become more complicated and complex with new technologies. In the proposed framework, each human selects a Point of Interest (PoI) that it wants to visit. This selection is performed by acting …

Intelligent Algorithm For Trapezoidal Interval Valued Neutrosophic Network Analysis, Florentin Smarandache, Said Broumi, Deivanayagampillai Nagarajan, Malayalan Lathamaheswari, Mohamed Talea, Assia Bakali

Branch Mathematics and Statistics Faculty and Staff Publications

The shortest path problem has been one of the most fundamental practical problems in network analysis. One of the good algorithms is Bellman-Ford, which has been applied in network, for the last some years. Due to complexity in the decision-making process, the decision makers face complications to express their view and judgment with an exact number for single valued membership degrees under neutrosophic environment. Though the interval number is a special situation of the neutrosophic, it did not solve the shortest path problems in an absolute manner. Hence, in this work, the authors have introduced the score function and accuracy …

Secondary Electron Yield Measurements On Materials Of Interest To Vacuum Electron Communication Devices, Talal Ahmed Malik

Electrical and Computer Engineering ETDs

Microwave vacuum electron devices are a critical part of communication satellite payloads. The phenomenon of multipactor breakdown (MPB) can cause the performance of these devices to deteriorate, including their partial or total destruction. MPB depends on a number of factors, including the secondary electron yield (SEY) of materials used within the device. The process of electron multiplication, which leads to breakdown, initiates with the impact of primary electrons on target surfaces, and the resonance of free electrons within an oscillating electromagnetic field under vacuum conditions. Therefore, it is of interest to find materials and surface treatment methods that exhibit low …

Advanced Parallel Algorithms In Computational Electromagnetics, Shu Wang

Electrical and Computer Engineering ETDs

The rapid development of high performance computing has pushed the computational electromagnetic(CEM) towards high accuracy, high fidelity and extreme computational scales. There is a great need for existing CEM solvers to have enhanced parallelism and scaling capability. The purpose of this dissertation is to investigate advanced parallel algorithms for both frequency and time domain solvers.

In frequency domain, this work first develop the underpinnings of parallel preconditioning technique and high-order transmission condition in the context of multi-solver scheme. The result is a computing resource-aware and implementation wise compact solver. Then this work targeted at developing efficient algorithms for cases where …

Software Execution Under Extreme Electromagnetic Interference, Luis Ariel Valbuena Reyes

Electrical and Computer Engineering ETDs

Software routines that deviate from the original algorithm’s goal due to a perturba- tion agent is a phenomenon that has been observed for a long time now. From unin- tended executions on flight control computers during the dawn of space exploration, passing through hardware Trojans tampering in corporate security, to sensitive med- ical equipment compromised to the point of changing the amount of delivered drug, the time intervals, and the reported biomedical measured data, such intrusions are a major risk challenging society. In this dissertation, a computer under perturbation is modeled by a hybrid sys- tem that captures the digital …

Early Time (E1) High Altitude Electromagnetic Pulse Effects On Lightning Surge Arresters And Trip Coils, David Erney Sanabria

Electrical and Computer Engineering ETDs

A High Altitude Electromagnetic Pulse (HEMP) is a potential threat to the power grid. HEMP can couple on transmission lines causing large overvoltages, which could be harmful to the line and everything else connected to it. The effects of overvoltages on all sorts of devices in the power grid need to be understood. The work developed here is a joint effort between The University of New Mexico and Sandia National Laboratories; The devices that are within the scope of this effort are Trip Coils and Lightning Surge Arresters (LSA). Existing data on HEMP, existing standards, and a previous analysis, were …

Device-Level Predictive Modeling Of Extreme Electromagnetic Interference, Nishchay H. Sule

Electrical and Computer Engineering ETDs

Radio Frequency (RF) interference is a prominent issue for modern electronic devices. As device size and supply power shrink to meet the on-going demand for compact and complex Integrated Circuits (ICs), their susceptibility to external noise coupling to the input or power supply increases significantly. One such type of noise that acts upon a system to be considered is Extreme Electromagnetic Interference (EEMI). Previous works done to understand and evaluate the impact of EEMI onto a system or sub-system have been conducted on a statistical or empirical analysis level, which has led to complex and convoluted analysis, that requires significant …

Adaptive Encoding For Constrained Video Delivery In Hevc, Vp9, Av1 And Vvc Compression Standards And Adaptation To Video Content, Gangadharan Esakki

Electrical and Computer Engineering ETDs

The dissertation proposes the use of a multi-objective optimization framework for designing and selecting among enhanced GOP configurations in video compression standards. The proposed methods achieve fine optimization over a set of general modes that include: (i) maximum video quality, (ii) minimum bitrate, (iii) maximum encoding rate (previously minimum encoding time mode) and (iv) can be shown to improve upon the YouTube/Netflix default encoder mode settings over a set of opposing constraints to guarantee satisfactory performance. The dissertation describes the implementation of a codec-agnostic approach using different video coding standards (x265, VP9, AV1) on a wide range of videos derived …

Integration Of Machine Learning For Reactive Power Control For A Distribution Feeder Simulation With External Load, Ivonne D. Acosta Molina

Electrical and Computer Engineering ETDs

It has been 32 years since the Brundtland Report was published. That was the first time that the term Sustainable Development (SD) was coined. In this context, renewable sources of energy play an important role on not to deplete our natural resources in order to meet our need without compromising future generations. Smart Grids are on the pathway to achieve the SD goals. This Thesis focuses on the integration of renewables, specifically Solar PV panels and inverters and its interactions with the distribution grid. Since the power injection caused by the PV inverter can alter the voltage range, Reinforcement Learning …

Advancing Compact Pulsed Power, Jon C. Pouncey

Electrical and Computer Engineering ETDs

The first two decades of the 21^st century have seen significant interest in expanding the application of pulsed power technology beyond its traditional use in physics and nuclear weapons research. Applications in the field of national defense, which present unique constraints on system size, have provided impetus to increase the exploration of compact pulsed power solutions. Innovations related to energy density, insulation, switching, and power conversion systems have been realized, bringing deployable compact pulsed power systems closer to realization than ever before. However, recent systems integration efforts have shown that work still remains to develop needed tools and technologies …

Optimal Relay Location In A Microgrid Using Optimization Techniques, Benjamin J. Reimer

Electrical and Computer Engineering ETDs

This thesis paper proposes an optimal relay placement approach for microgrids. The algorithm separately calculates the System Average Interruption Frequency Index (SAIFI) of a microgrid in both grid-connected and islanded microgrid modes. The objective is to find the optimal relay locations such that the microgrid overall SAIFI is minimized. The power electronics interfaces associated with distributed energy resources may be classified as grid following or grid forming. As opposed to grid-following distributed energy resources (DERs) such as typical solar inverters, grid-forming inverters can control the microgrid voltage and frequency at the point of their interconnection. Therefore, these DERs can facilitate …

Nonlinear Least Squares 3-D Geolocation Solutions Using Time Differences Of Arrival, Michael V. Bredemann

Mathematics & Statistics ETDs

This thesis uses a geometric approach to derive and solve nonlinear least squares minimization problems to geolocate a signal source in three dimensions using time differences of arrival at multiple sensor locations. There is no restriction on the maximum number of sensors used. Residual errors reach the numerical limits of machine precision. Symmetric sensor orientations are found that prevent closed form solutions of source locations lying within the null space. Maximum uncertainties in relative sensor positions and time difference of arrivals, required to locate a source within a maximum specified error, are found from these results. Examples illustrate potential requirements …

Advancing Elastic Solid Dynamics In Computer Graphics, Ran Luo

Electrical and Computer Engineering ETDs

This dissertation proposes novel algorithms and applications and provides a real-time and easy-to-use simulator for realistic animation of the 3D solid model. The Finite Element Method (FEM) is a popular tool in the community because of its accurate result, however, the FEM is computationally expensive to handle a large number of DOFs. We present novel techniques to combine linear and nonlinear elasticity with model reduction to provide fast and realistic animation. On the other hand, one of the most important computation tasks of solid simulation is to evaluate the gradient vector and Hessian matrix of elastic energy function. We present …

Physical Unclonable Functions Based On Delay Paths And An Interdigital Microstrip Notch Filter, Mitch Martin

Electrical and Computer Engineering ETDs

A Physical Uncloneable Function (PUF) is an integrated circuit hardware primitivethat is designed to leverage naturally occurring variations to produce a randombitstring. The Aribiter (ARB) PUF is one of the first to be described in the literature.It derives its entropy from variations that occur in the delays of identically configuredlogic paths. The ARB PUF uses a phase comparator to decide which path of a pairis faster under a given challenge, and generates a 0 or 1 as a response indicatorbit. Unfortunately, the ARB PUF is not reliable, requiring error correction in caseswhere the sequence of response bits (the bitstring) needs …

Tunneling And Transport Properties Of Organic And Inorganic Thin Film, Farhana Anwar

Electrical and Computer Engineering ETDs

In this article I provide a new method for computing electronic transport properties of graphene i.e. the peculiar tunneling properties of two-dimensional massless Dirac electrons. I consider a simple situation : a massless Dirac electron incident on a potential barrier which is tilted by applied bias and use finite difference method to obtain transmission probability(without involving transfer matrix). In the presence of an applied bias transmission coefficient and tunneling current were obtained and the effect of electric field which modulates the barrier profile therefore conductivity pattern were explained. Furthermore, this method can also be applied to investigate transport properties of …

Inhibiting Surface Flashover In Vacuum With High Gradient Insulators, Cameron Harjes

Electrical and Computer Engineering ETDs

In high voltage systems, insulators may be used to separate conductors and these insulators are typically the limiting factor in the system’s operating voltage. When the voltage between two conductors is too large, the insulators can fail due to surface flashover. As systems become more compact, the threat of failure by insulator flashover increases, making the optimization of insulators a critical task for reliability.

Insulators at a vacuum interface are especially vulnerable to surface flashover. Insulators have been shown to holdoff more voltage in vacuum after being baked to remove imbedded surface gases. Ceramic materials are particularly attractive because, unlike …

The Picture Fuzzy Distance Measure In Controlling Network Power Consumption, Florentin Smarandache, Ngan Thi Roan, Salvador Coll Arnau, Marina Alonso Diaz, Juan Miguel Martinez Rubio, Pedro Lopez, Fran Andujar, Son Hoang Lee, Manh Van Vu

Branch Mathematics and Statistics Faculty and Staff Publications

In order to solve the complex decision making problems, there are many approaches and systems based on fuzzy theory were proposed.