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Browsing by Subject "Electrical engineering"
Now showing items 1-20 of 212
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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 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) ... -
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 ... -
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. ... -
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 ... -
An Information-Theoretic Analysis of X-Ray Architectures for Anomaly Detection
(2018)X-ray scanning equipment currently establishes a first line of defense in the aviation security space. The efficacy of these scanners is crucial to preventing the harmful use of threatening objects and materials. In this ... -
Analysis of μECoG Design Elements for Optimized Signal Acquisition
(2022)High density electrode arrays that can record spatially and temporally detailed neural information provide a new horizon for the scientific exploration of the brain. Chief amongst these new tools is micro-electrocorticography ... -
Appearance-based Gaze Estimation and Applications in Healthcare
(2020)Gaze estimation, the ability to predict where a person is looking, has become an indispensable technology in healthcare research. Current tools for gaze estimation rely on specialized hardware and are typically ... -
Applied Millimeter Wave Radar Vibrometry
(2023)In this dissertation, novel uses of millimeter-wave (mmW) radars are developed and analyzed. While automotive mmW radars have been ubiquitous in advanced driver assistance systems (ADAS), their ability to sense motions at ... -
Architecture Framework for Trapped-ion Quantum Computer based on Performance Simulation Tool
(2015)The challenge of building scalable quantum computer lies in striking appropriate balance between designing a reliable system architecture from large number of faulty computational resources and improving the physical quality ... -
Automatic Volumetric Analysis of the Left Ventricle in 3D Apical Echocardiographs
(2015)Apically-acquired 3D echocardiographs (echoes) are becoming a standard data component in the clinical evaluation of left ventricular (LV) function. Ejection fraction (EF) is one of the key quantitative biomarkers derived ... -
Autonomous Robot Packing of Complex-shaped Objects
(2020)With the unprecedented growth of the E-Commerce market, robotic warehouse automation has attracted much interest and capital investment. Compared to a conventional labor-intensive approach, an automated robot warehouse brings ... -
Bayesian and Information-Theoretic Learning of High Dimensional Data
(2012)The concept of sparseness is harnessed to learn a low dimensional representation of high dimensional data. This sparseness assumption is exploited in multiple ways. In the Bayesian Elastic Net, a small number of correlated ... -
Bayesian Nonparametric Modeling of Latent Structures
(2014)Unprecedented amount of data has been collected in diverse fields such as social network, infectious disease and political science in this information explosive era. The high dimensional, complex and heterogeneous data imposes ... -
Calibrating and Beamforming Distributed Arrays in Passive Sonar Environments
(2022)This dissertation presents methods for calibrating and beamforming a distributed array for detecting and localizing sources of interest using passive sonar. Passive sonar is critical for underwater acoustic surveillance, ... -
Classical Coding Approaches to Quantum Applications
(2020)Quantum information science strives to leverage the quantum-mechanical nature of our universe in order to achieve large improvements in certain information processing tasks. Such tasks include quantum communications and ... -
Classification and Characterization of Heart Sounds to Identify Heart Abnormalities
(2019)The main function of the human heart is to act as a pump, facilitating the delivery of oxygenated blood to the many cells within the body. Heart failure (HF) is the medical condition in which a heart cannot adequately pump ... -
Coded Aperture Magnetic Sector Mass Spectrometry
(2015)Mass spectrometry is widely considered to be the gold standard of elemental analysis techniques due to its ability to resolve atomic and molecular and biological species. Expanding the application space of mass spectrometry ... -
Coded Aperture X-ray Tomographic Imaging with Energy Sensitive Detectors
(2017)Coherent scatter imaging techniques have experienced a renaissance in the past two decades from an evolution of detector technology and computational imaging techniques. X-ray diffraction requires a precise knowledge of ...
