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Articles 1 - 10 of 10
Full-Text Articles in Engineering
Exploiting Heterogeneity In Chip-Multiprocessor Design, Ying Zhang
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 …
Achievable Secrecy Enchancement Through Joint Encryption And Privacy Amplification, Yahya Sowti Khiabani
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 …
Psychological Behavior Analysis Using Advanced Signal Processing Techniques For Fmri Data, Charisma Dionne Edwards
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 …
Electrophoretic Deposition Of Carbon Nanotubes On Silicon Substrates, Anirban Sarkar
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 …
Feedback Control Of Sector-Bound Nonlinear Systems With Applications To Aeroengine Control, Luis Donaldo Alvergue
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 …
Induction Motors With Rotor Helical Motion, Ebrahim Amiri
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 …
High Capacity Digital Beam Steering Technology, Daniel James Hebert
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 …
Geometric Modeling And Optimization Over Regular Domains For Graphics And Visual Computing, Shenghua Wan
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 …
Heterogeneous Volumetric Data Mapping And Its Medical Applications, Huanhuan Xu
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
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 …