Engineering Commons^™

Fast Transient Digitizer And Pcb Interface, Kevin Thomas Buck

UNLV Theses, Dissertations, Professional Papers, and Capstones

This thesis outlines the design, layout and characterization of an application specific integrated circuit (ASIC) and a printed circuit board (PCB) designed to discretize an input signal and read out the data at a user desired interval to replicate the input signal at a lower frequency or pulse rate with no quantization error. The ASIC for this task utilizes 128 individual capacitive storage cells to capture data at approximately 200 ps intervals, thus the chip can capture approximately 25 ns of an input signal. The read out rate can be adjusted to the desired rate by the user by changing …

Compression Of Climate Data Through Artificial Neural Networks, Astha Puri

UNLV Theses, Dissertations, Professional Papers, and Capstones

Lately, there has been a tremendous increase in the number of climate monitoring

stations in various parts of the country producing abundant climate data. Among climate data parameters, humidity and temperature are the two parameters influencing hydrological and agricultural processes, weather monitoring, and having critical effect on living organisms. As more data is being generated over time, there is a strong need to develop compression methods for efficient transfer and storage of this data.

The main goal of this thesis is to perform compression of humidity and temperature

data via prediction. As these are critical components of climate, it is …

Object Detection And Tracking In Wide Area Surveillance Using Thermal Imagery, Santosh Bhusal

UNLV Theses, Dissertations, Professional Papers, and Capstones

The main objective behind this thesis is to examine how existing vision-based detection and tracking algorithms perform in thermal imagery-based video surveillance. While color-based surveillance has been extensively studied, these techniques can not be used during low illumination, at night, or with lighting changes and shadows which limits their applicability. The main contributions in this thesis are (1) the creation of a new color-thermal dataset, (2) a detailed performance comparison of different color-based detection and tracking algorithms on thermal data and (3) the proposal of an adaptive neural network for false detection rejection.

Since there are not many publicly available …

Designing, Building And Testing A Solar Thermoelectric Generation, Steg, For Energy Delivery To Remote Residential Areas In Developing Regions, Yacouba Moumouni

UNLV Theses, Dissertations, Professional Papers, and Capstones

New alternatives and inventive renewable energy techniques which encompass both generation and power management solutions are fundamental for meeting remote residential energy supply and demand today, especially if the grid is quasi-inexistent. Solar thermoelectric generators can be a cost-effective alternative to photovoltaics for a remote residential household power supply. A complete solar thermoelectric energy harvesting system is presented for energy delivery to remote residential areas in developing regions. To this end, the entire system was built, modeled, and then validated with LTspice simulator software via thermal-to-electrical analogy schemes. Valuable data in conjunction with two novel LTspice circuits were obtained, showing …

Performance Analysis Of Hybrid Algorithms For Lossless Compression Of Climate Data, Bharath Chandra Mummadisetty

UNLV Theses, Dissertations, Professional Papers, and Capstones

Climate data is very important and at the same time, voluminous. Every minute a new entry is recorded for different climate parameters in climate databases around the world. Given the explosive growth of data that needs to be transmitted and stored, there is a necessity to focus on developing better transmission and storage technologies. Data compression is known to be a viable and effective solution to reduce bandwidth and storage requirements of bulk data. So, the goal is to develop the best compression methods for climate data.

The methodology used is based on predictive analysis. The focus is to implement …

Study Of Machine Learning Methods In Intelligent Transportation Systems, Vishal Jha

UNLV Theses, Dissertations, Professional Papers, and Capstones

Machine learning and data mining are currently hot topics of research and are applied in database, artificial intelligence, statistics, and so on to discover valuable knowledge and the patterns in big data available to users. Data mining is predominantly about processing unstructured data and extracting meaningful information from them for end users to help take business decisions. Machine learning techniques use mathematical algorithms to find a pattern or extract meaning out from big data. The popularity of such techniques in analyzing business problems has been enhanced by the arrival of big data.

The main objective of this thesis is to …

Structure And Optical Properties Of Transition Metal Dichalcogenides (Tmds) – Mx2 (M = Mo, W & X = S, Se) Under High Pressure And High Temperature Conditions, Nirup Reddy Bandaru

UNLV Theses, Dissertations, Professional Papers, and Capstones

Layered structured materials such as transition metal dichalcogenides (TMDs) have gained immense interest in recent times due to their exceptional structural, electrical and optical properties. Recent studies show semiconducting TMDs such as MX₂ (M= Mo, W & X = S, Se) could be used as potential shock absorbing material, which has resulted in extensive studies on structural stability of these materials under the influence of high pressure. Understanding the structural stability of transition metal dichalcogenides (TMDs) such as MoS2, MoSe2, WS2, and WSe2 under high pressure has been very challenging due to contradicting observations and interpretations reported in the …

Robust Observability, Control, & Economics Of Complex Cyber-Physical Networks, Shaurya Agarwal

UNLV Theses, Dissertations, Professional Papers, and Capstones

This dissertation deals with various aspects of cyber-physical system. As an example of cyber physical systems, we take transportation networks and solve various problems, namely: 1) Network Observability Problem, 2) Network Control Problem, and 3) Network Economics Problem. We have divided the dissertation into three parts which solve these three problems separately. First part of the dissertation presents a novel approach for studying the observability problem on a general network topology of a traffic network. We develop a new framework which investigates observability in terms of flow information on arcs and the routing information. Second part of the dissertation presents …

Reducing Insertion Loss Of Wavelength-Routed Optical Network Based On Microring Resonator Optical Switches, Yunjia Man

UNLV Theses, Dissertations, Professional Papers, and Capstones

With the ever-increasing demand for high-performance computing systems, on-chip interconnection networks, serving as the communication links in multicore architectures, have become the key to the system performance. Compared with bandwidth-limited power-hungry electrical interconnection networks, optical network-on-chip (ONoC) architectures are emerging as a promising alternative to enable future computing performance gains owing to the recent advancements in silicon photonics. One major issue of ONoC is its insertion loss, which is the optical link loss along the waveguide and through the network. Once the optical power budget is established, the maximum insertion loss through the network can be determined. If insertion loss …

General Application Of Smart Inverters In Distribution And Smart Grid, Wenxin Peng

UNLV Theses, Dissertations, Professional Papers, and Capstones

The electric grid of the near future will face challenges and opportunities based on two aspects. First, the rapid growth of renewable generations expedites the upgrading of traditional electric grids, allowing more and more distributed generation connected at the customers’ side. Distributed generation units use a wide range of generation technologies, including gas turbines, diesel engines, solar photovoltaics (PV), wind turbines, fuel cells, biomass, and small hydroelectric generators. Under certain penetration level, the grid will experience issues like unexpected voltage rise as well as reverse power flows due to the fluctuation of power production of the distributed generation, especially when …

Evaluating The Level Of Harmonic Distortion In A Typical Distribution Feeder, Wessen S. Bogale

UNLV Theses, Dissertations, Professional Papers, and Capstones

Steady-state analysis of electrical power systems is largely based on linear and sinusoidal AC circuits which allow the concept of impedance, phasors and well-defined power quantities (i.e., real, reactive and apparent powers). In reality, however, the electric load which was once composed of linear elements (e.g., induction motors, incandescent lighting, etc …) is becoming more and more nonlinear due to the wide-spread use of electronic components such as fluorescent lighting and variable-frequency drives that power the majority of electric motors. As a consequence, the current drawn by such devices is often distorted, thus containing a number of high frequency harmonics …

Adaptive, Neural And Robust Control Of Wing-Rock And Aeroelastic System, Prince Ghorawat

UNLV Theses, Dissertations, Professional Papers, and Capstones

Modern aircraft exhibit wing-rock phenomenon and aeroelastic instability. Wingrock (roll single degree of freedom motion) and aeroelastic systems' (two degrees of freedom) behavior are described by complex nonlinear differential equations. The nonlinearities in the dynamics of these systems give rise to limit cycle oscillations beyond critical speed of aircraft. The onset of wing-rock and aeroelastic instability limits the performance of aircraft and can even lead to catastrophic consequences. Therefore, control of wing-rock motion and stabilization of aeroelastic systems are important. In the past, several studies have been made and experimental and analytical results have been obtained to explain the wing-rock …