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Full-Text Articles in Engineering

Design And Development Of A Low-Cost Handheld Picoammeter, Malcolm Stagg Dec 2013

Design And Development Of A Low-Cost Handheld Picoammeter, Malcolm Stagg

Honors Theses

No abstract provided.


Design And Implementation Of A Primitive Neural Stimulator With Simulated Excitatory Post-Synaptic Potentials, José Aquiles Parodi Amaya Apr 2013

Design And Implementation Of A Primitive Neural Stimulator With Simulated Excitatory Post-Synaptic Potentials, José Aquiles Parodi Amaya

Honors Theses

No abstract provided.


High Capacity Digital Beam Steering Technology, Daniel James Hebert Jan 2013

High Capacity Digital Beam Steering Technology, Daniel James Hebert

LSU Doctoral Dissertations

A novel method is described in detail for steering light in many directions without moving mechanical parts. The method involves a combination of liquid crystal cells and polarizing beam splitters. The polarization at each beam splitter is controlled by applying a signal to its corresponding liquid crystal cell. A study of light steering techniques is described for efficient beam placement, in a line and plane. These techniques permit accurate, non-mechanical, beam steering limited by the response time of the liquid crystal cells. A theoretical limit to the number of discrete directions is described and closely approached for a one dimensional …


Achievable Secrecy Enchancement Through Joint Encryption And Privacy Amplification, Yahya Sowti Khiabani Jan 2013

Achievable Secrecy Enchancement Through Joint Encryption And Privacy Amplification, Yahya Sowti Khiabani

LSU Doctoral Dissertations

In this dissertation we try to achieve secrecy enhancement in communications by resorting to both cryptographic and information theoretic secrecy tools and metrics. Our objective is to unify tools and measures from cryptography community with techniques and metrics from information theory community that are utilized to provide privacy and confidentiality in communication systems. For this purpose we adopt encryption techniques accompanied with privacy amplification tools in order to achieve secrecy goals that are determined based on information theoretic and cryptographic metrics. Every secrecy scheme relies on a certain advantage for legitimate users over adversaries viewed as an asymmetry in the …


Performance And Power Comparisons Between Fermi And Cypress Gpus, Ying Zhang Jan 2013

Performance And Power Comparisons Between Fermi And Cypress Gpus, Ying Zhang

LSU Master's Theses

In recent years, modern graphics processing units have been widely adopted in high performance computing areas to solve large scale computation problems. The leading GPU manufacturers Nvidia and AMD have introduced series of products to the market. While sharing many similar design concepts, GPUs from these two manufacturers differ in several aspects on processor cores and the memory subsystem. In this work, we conduct a comprehensive study to characterize and compare the architectural features of Nvidia’s Fermi and AMD’s Cypress GPUs. We first investigate the performance and power consumptions of an AMD Cypress GPU. By employing a rigorous statistical model …


Electrophoretic Deposition Of Carbon Nanotubes On Silicon Substrates, Anirban Sarkar Jan 2013

Electrophoretic Deposition Of Carbon Nanotubes On Silicon Substrates, Anirban Sarkar

LSU Doctoral Dissertations

This dissertation research describes the feasibility study and investigation of Electrophoretic Deposition (EPD) of carbon nanotubes (CNTs) for applications in semiconductor research. In recent years, the EPD technique has been considered as an economical, room temperature, solution based wet coating technique for thin and thick CNT films on arbitrary substrates. In this study, fabrication of uniform coatings of acid-treated CNTs has been pursued on bare silicon substrates by EPD from aqueous and organic suspensions. Research endeavors are extended to examine EPD of CNTs on silicon substrates with various surface coatings such as metal (aluminum), insulator layers (silicon dioxide and silicon …


Discrete Time Modeling And Control Of Dc/Dc Switching Converter For Solar Energy Systems, Shaghayegh Kazemlou Jan 2013

Discrete Time Modeling And Control Of Dc/Dc Switching Converter For Solar Energy Systems, Shaghayegh Kazemlou

LSU Master's Theses

Distributed generation networks including micro grids benefit from solar cells that are controlled by dc-dc converters. In this research a nonlinear discrete-time model for a buck converter tied to a solar system is derived with unknown internal dynamics. Then, adaptive neural network (NN) controller is employed to enhance stability of dc-dc converter connected to grid-tie inverter (GTI) in the presence of power system disturbances. The NN weights are tuned online by using a novel update law. By using Lyapunov techniques, all signals can be shown to be uniformly ultimately bounded (UUB). In addition, the interaction of the converter with the …


Geometric Modeling And Optimization Over Regular Domains For Graphics And Visual Computing, Shenghua Wan Jan 2013

Geometric Modeling And Optimization Over Regular Domains For Graphics And Visual Computing, Shenghua Wan

LSU Doctoral Dissertations

The effective construction of parametric representation of complicated geometric objects can facilitate many design, analysis, and simulation tasks in Computer-Aided Design (CAD), Computer-Aided Manufacturing (CAM), and Computer-Aided Engineering (CAE). Given a 3D shape, the procedure of finding such a parametric representation upon a canonical domain is called geometric parameterization. Regular geometric regions, such as polycubes and spheres, are desirable domains for parameterization. Parametric representations defined upon regular geometric domains have many desirable mathematical properties and can facilitate or simplify various surface/solid modeling and processing computation. This dissertation studies the construction of parameterization on regular geometric domains and explores their applications …


Psychological Behavior Analysis Using Advanced Signal Processing Techniques For Fmri Data, Charisma Dionne Edwards Jan 2013

Psychological Behavior Analysis Using Advanced Signal Processing Techniques For Fmri Data, Charisma Dionne Edwards

LSU Doctoral Dissertations

Psychological analysis related to voluntary reciprocal trust games were obtained using functional magnetic resonance imaging (fMRI) hyperscanning for 44 pairs of strangers throughout 36 trust games (TG) and 16 control games (CG). Hidden Markov models (HMMs) are proposed to train and classify the fMRI data acquired from these brain regions and extract the essential features of the initial decision of the first player to trust or not trust the second player. These results are evaluated using the different versions of the multifold cross-validation technique and compared to other speech data and other advanced signal processing techniques including linear classification, support …


Learning And Identification Of Wireless Network Internode Dynamics Using Software Defined Radio, Benjamin Elliott Carroll Jan 2013

Learning And Identification Of Wireless Network Internode Dynamics Using Software Defined Radio, Benjamin Elliott Carroll

LSU Master's Theses

The recently developed paradigm of cognitive radio wireless devices has been developed with the goal of achieving more customizable and efficient spectrum utilization of commonly used wireless frequency bands. The primary focus of such spectrum utilization approaches has been to discern occupancies and vacancies over portions of the wireless spectrum without necessarily identifying how specific radio frequency (RF) devices contribute to the temporal dynamics of these occupancy patterns within the spectrum. The aim of this thesis is to utilize a hidden semi-Markov model (HSMM) statistical analysis to infer the individual occupancy patterns of specific users from wireless RF observation traces. …


Gpu Acceleration Of The Variational Monte Carlo Method For Many Body Physics, Kaushik Ragavan Rajagopalan Jan 2013

Gpu Acceleration Of The Variational Monte Carlo Method For Many Body Physics, Kaushik Ragavan Rajagopalan

LSU Master's Theses

High-Performance computing is one of the major areas making inroads into the future for large-scale simulation. Applications such as 3D nuclear test, Molecular Dynamics, and Quantum Monte Carlo simulations are now developed on supercomputers using the latest computing technologies. As per the TOP500 supercomputers rating, most of today‘s supercomputers are now heterogeneous: with massively parallel Graphics Processing Units (GPU) equipped with Multi-core CPU(s) to increase the computational capacity. The Variational Monte Carlo(VMC) method is used in the Many Body Physics to study the ground state properties of a system. The wavefunction depends on some variational parameters, which contain the physics …


Exploiting Heterogeneity In Chip-Multiprocessor Design, Ying Zhang Jan 2013

Exploiting Heterogeneity In Chip-Multiprocessor Design, Ying Zhang

LSU Doctoral Dissertations

In the past decade, semiconductor manufacturers are persistent in building faster and smaller transistors in order to boost the processor performance as projected by Moore’s Law. Recently, as we enter the deep submicron regime, continuing the same processor development pace becomes an increasingly difficult issue due to constraints on power, temperature, and the scalability of transistors. To overcome these challenges, researchers propose several innovations at both architecture and device levels that are able to partially solve the problems. These diversities in processor architecture and manufacturing materials provide solutions to continuing Moore’s Law by effectively exploiting the heterogeneity, however, they also …


Fault Observability In Distributed Power System, Hamidreza Nazaripouya Jan 2013

Fault Observability In Distributed Power System, Hamidreza Nazaripouya

LSU Master's Theses

Fault observability as well as fault location algorithms in distributed power system are studied in this thesis. The importance of finding the fault location in a distribution system with the purpose of increasing reliability and decreasing the maintenance time and cost is discussed. Then, different existing fault location algorithms and approaches in the literature are introduced and compared. Subsequently, a new strategy to achieve fault observability of power systems while aiming minimum required number of Phasor Measurement Units (PMUs) in the network is proposed. The method exploits the nodal voltage and mesh current analyses where the impedance and admittance matrices …


Heterogeneous Volumetric Data Mapping And Its Medical Applications, Huanhuan Xu Jan 2013

Heterogeneous Volumetric Data Mapping And Its Medical Applications, Huanhuan Xu

LSU Doctoral Dissertations

With the advance of data acquisition techniques, massive solid geometries are being collected routinely in scientific tasks, these complex and unstructured data need to be effectively correlated for various processing and analysis. Volumetric mapping solves bijective low-distortion correspondence between/among 3D geometric data, and can serve as an important preprocessing step in many tasks in compute-aided design and analysis, industrial manufacturing, medical image analysis, to name a few. This dissertation studied two important volumetric mapping problems: the mapping of heterogeneous volumes (with nonuniform inner structures/layers) and the mapping of sequential dynamic volumes. To effectively handle heterogeneous volumes, first, we studied the …


Fast And Reliable Detection Of Incumbent Users In Cognitive Radios, Mahdi Orooji Jan 2013

Fast And Reliable Detection Of Incumbent Users In Cognitive Radios, Mahdi Orooji

LSU Doctoral Dissertations

Fast and reliable Spectrum Sensing (SS) plays a crucial role in the cognitive radio (CR) technology in order to prevent unwanted interference to the primary users (PU) and to reliably and quickly detect the white spaces in the spectrum for opportunistic access by the secondary users (SU). Spectrum Sensing must often be performed in the absence of information such as PU signaling scheme, noise level and channel fading coefficients. While these parameters can be estimated in the SU, estimation errors significantly deteriorates the performance of SS techniques. In this thesis, we introduce and evaluate the performance of two novel blind …


Feedback Control Of Sector-Bound Nonlinear Systems With Applications To Aeroengine Control, Luis Donaldo Alvergue Jan 2013

Feedback Control Of Sector-Bound Nonlinear Systems With Applications To Aeroengine Control, Luis Donaldo Alvergue

LSU Doctoral Dissertations

This dissertation is divided into two parts. In the first part we consider the problem of feedback stabilization of nonlinear systems described by state-space models. This approach is inherited from the methodology of sector bounded or passive nonlinearities, and influenced by the concept of absolute and quadratic stability. It aims not only to regionally stabilize the nonlinear dynamics asymptotically but also to maximize the estimated region of quadratic attraction and to ensure nominal performance at each equilibrium. In close connection to gain scheduling and switching control, a path of equilibria is programmed based on the assumption of centered-epsilon-cover which leads …


Blind Ldpc Encoder Identification, Tian Xia Jan 2013

Blind Ldpc Encoder Identification, Tian Xia

LSU Master's Theses

Nowadays, adaptive modulation and coding (AMC) techniques can facilitate flexible strategies subject to dynamic channel quality. The AMC transceivers select the most suitable coding and modulation mechanisms subject to the acquired channel information. Meanwhile, a control channel or a preamble is usually required to synchronously coordinate such changes between transmitters and receivers. On the other hand, low-density parity-check (LDPC) codes become more and more popular in recent years due to their promising capacity-approaching property. The broad range of variations in code rates and codeword lengths for LDPC codes makes them ideal candidates for future AMC transceivers. The blind encoder identification …


Yield Detection For Non-Destructive Testing Using Ultrasonic Signal Processing, Bharath Murali Thekkedath Jan 2013

Yield Detection For Non-Destructive Testing Using Ultrasonic Signal Processing, Bharath Murali Thekkedath

LSU Master's Theses

Structural health monitoring (SHM) is a very important field for many engineering disciplines. SHM deals with the monitoring of material structures periodically for assessing the lifetimes of the structures. There are various techniques for SHM. Non-destructive testing (NDT) is one of the most popular SHM tools to monitor structures. It demonstrates the indispensable advantage of providing structural health assessment without the need of intrusion. In this thesis, a new NDT tool for yield detection using ultrasonic signal processing is investigated. In this work, for the study of yield detection, steel specimen samples have been acquired, which were obtained from the …


Study On Effects Of Supply Voltage Asymmetry And Distortion On Induction Machine, Prashanna Dev Bhattarai Jan 2013

Study On Effects Of Supply Voltage Asymmetry And Distortion On Induction Machine, Prashanna Dev Bhattarai

LSU Master's Theses

Performance of induction motor supplied with asymmetrical and nonsinusoidal supply voltages is studied in this thesis. Theory of induction motor is first presented for sinusoidal symmetrical supply voltages. Equations for the torque, losses, currents and efficiency are derived. Appropriate changes are made to apply this theory to induction motors operating at nonsinusoidal and asymmetrical supply voltages. Single phase equivalent circuit of the induction motor is presented for both asymmetrical and nonsinusoidal supply voltages. The equations governing operating characteristics are presented. Machine torque, losses, current and efficiency for asymmetrical and nonsinusoidal supply voltages are compared with the same for sinusoidal symmetrical …


Induction Motors With Rotor Helical Motion, Ebrahim Amiri Jan 2013

Induction Motors With Rotor Helical Motion, Ebrahim Amiri

LSU Doctoral Dissertations

Performance analysis of the twin-armature rotary-linear induction motor, a type of motor with two degrees of mechanical freedom, is the subject of this dissertation. The stator consists of a rotary armature and linear armature placed aside one another. Both armatures have a common rotor which can be either solid or cage rotor. The rotor can move rotary, linearly or with helical motion. The linear motion generates dynamic end effect on both linear and rotary armature. Modeling such an effect in rotary armature is a significant challenge as it requires a solution considering motion with two degrees of mechanical freedom. In …