Browsing by Department "Electrical and Computer Engineering"
Now showing items 1-20 of 385
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3D Microwave Imaging through Full Wave Methods for Heterogenous Media
(2011)In this thesis, a 3D microwave imaging method is developed for a microwave imaging system with an arbitrary background medium. In the previous study on the breast cancer detection of our research group, a full wave inverse ... -
A 3D Active Microwave Imaging System for Breast Cancer Screening
(2008-12-11)A 3D microwave imaging system suitable for clinical trials has been developed. The anatomy, histology, and pathology of breast cancer were all carefully considered in the development of this system. The central component ... -
A CG-FFT Based Fast Full Wave Imaging Method and its Potential Industrial Applications
(2015)This dissertation focuses on a FFT based forward EM solver and its application in inverse problems. The main contributions of this work are two folded. On the one hand, it presents the first scaled lab experiment system ... -
A Compact Cryogenic Package Approach to Ion Trap Quantum Computing
(2022)Ion traps are a leading candidate for scaling quantum computers. The component technologies can be difficult to integrate and manufacture. Experimental systems are also subject to mechanical drift creating a large maintenance ... -
A Data-Intensive Framework for Analyzing Dynamic Supreme Court Behavior
(2012)Many law professors and scholars think of the Supreme Court as a black box--issues and arguments go in to the Court, and decisions come out. The almost mystical nature that these researchers impute to the Court seems to ... -
A Formal Framework for Designing Verifiable Protocols
(2017)Protocols play critical roles in computer systems today, including managing resources, facilitating communication, and coordinating actions of components. It is highly desirable to formally verify protocols, to provide a ... -
A Hybrid Spectral-Element / Finite-Element Time-Domain Method for Multiscale Electromagnetic Simulations
(2010)In this study we propose a fast hybrid spectral-element time-domain (SETD) / finite-element time-domain (FETD) method for transient analysis of multiscale electromagnetic problems, where electrically fine structures with ... -
A Molecular-scale Programmable Stochastic Process Based On Resonance Energy Transfer Networks: Modeling And Applications
(2016)While molecular and cellular processes are often modeled as stochastic processes, such as Brownian motion, chemical reaction networks and gene regulatory networks, there are few attempts to program a molecular-scale process ... -
A Semi-Empirical Monte Carlo Method of Organic Photovoltaic Device Performance in Resonant, Infrared, Matrix-Assisted Pulsed Laser Evaporation (RIR-MAPLE) Films
(2015)Utilizing the power of Monte Carlo simulations, a novel, semi-empirical method for investigating the performance of organic photovoltaics (OPVs) in resonant infrared, matrix-assisted pulsed laser evaporation (RIR-MAPLE) ... -
A Serial Bitstream Processor for Smart Sensor Systems
(2010)A full custom integrated circuit design of a serial bitstream processor is proposed for remote smart sensor systems. This dissertation describes details of the architectural exploration, circuit implementation, algorithm ... -
A Study of Field Emission Based Microfabricated Devices
(2008-04-25)The primary goals of this study were to demonstrate and fully characterize a microscale ionization source (i.e. micro-ion source) and to determine the validity of impact ionization theory for microscale devices and pressures ... -
Accelerated Motion Planning Through Hardware/Software Co-Design
(2019)Robotics has the potential to dramatically change society over the next decade. Technology has matured such that modern robots can execute complex motions with sub-millimeter precision. Advances in sensing technology have ... -
Accelerated Sepsis Diagnosis by Seamless Integration of Nucleic Acid Purification and Detection
(2014)<bold>Background</bold> The diagnosis of sepsis is challenging because the infection can be caused by more than 50 species of pathogens that might exist in the bloodstream in very low concentrations, e.g., less ... -
Accelerating Probabilistic Computing with a Stochastic Processing Unit
(2020)Statistical machine learning becomes a more important workload for computing systems than ever before. Probabilistic computing is a popular approach in statistical machine learning, which solves problems by iteratively generating ... -
Accelerator Architectures for Deep Learning and Graph Processing
(2020)Deep learning and graph processing are two big-data applications and they are widely applied in many domains. The training of deep learning is essential for inference and has not yet been fully studied. With data forward, ... -
Accurate and Efficient Methods for the Scattering Simulation of Dielectric Objects in a Layered Medium
(2019)Electromagnetic scattering in a layered medium (LM) is important for many engineering applications, including the hydrocarbon exploration. Various computational methods for tackling well logging simulations are summarized. ... -
Actively Tunable Plasmonic Nanostructures
(2020)Active plasmonic nanostructures with tunable resonances promise to enable smart materials with multiple functionalities, on-chip spectral-based imaging and low-power optoelectronic devices. A variety of tunable materials ... -
Adaptive Brain-Computer Interface Systems For Communication in People with Severe Neuromuscular Disabilities
(2016)Brain-computer interfaces (BCI) have the potential to restore communication or control abilities in individuals with severe neuromuscular limitations, such as those with amyotrophic lateral sclerosis (ALS). The role of a ... -
Adaptive Discontinuous Galerkin Methods Applied to Multiscale & Multiphysics Problems towards Large-scale Modeling & Joint Imaging
(2019)Advanced numerical algorithms should be amenable to the scalability in the increasingly powerful supercomputer architectures, the adaptivity in the intricately multi-scale engineering problems, the efficiency in the extremely ... -
Adaptive Methods for Machine Learning-Based Testing of Integrated Circuits and Boards
(2020)The relentless growth in information technology and artificial intelligence (AI) is placing demands on integrated circuits and boards for high performance, added functionality, and low power consumption. As a result, design ...
