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Now showing items 261-269 of 269
Reinforcement Learning with Reasoning for Long-horizon Robotic Tasks
(2023-04-09)
Recent developments in Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehi-
cles (UGVs) have attracted intensive research interest from both academia and industrial areas.
Although Unmanned Aerial Vehicles (UAV) are ...
Aging-Induced Long-Term Data Remanence in SRAM Cells
(2023-04-28)
Within the electronics industry, data recovery has been a primary focus of security experts and researches for decades. The vast majority of this research has been performed and realized in the form of hard disk recovery, ...
Analysis and Optimization of Lithographic Performance on Massively-Parallel Electron-beam Systems
(2023-04-24)
While electron-beam (e-beam) lithography is widely used in transferring fine-feature patterns onto a substrate, its major drawback is the low throughput, especially for large-scale patterns. The massively-parallel electron-beam ...
In Vivo Quantitative MRI of Hemodynamics, Endothelial Function, and Metabolites
(2023-04-27)
Magnetic resonance (MR) hemodynamic imaging involves the study of vascular blood circulation. The regulation of tissue oxygenation depends directly on the regulation of blood flow. Impaired blood flow, oxygen supply, oxygen ...
Improving CRPA Anti-Jamming Performance with Virtual Array Integration
(2023-01-12)
This thesis explores the concept of integrating a virtual array into current controlled reception pattern antenna (CRPA) technology to increase performance. A four channel virtual CRPA is designed and simulated, and its ...
Additive Nanomanufacturing of Flexible Hybrid Electronics
(2023-05-04)
There is always great interest in finding new advanced manufacturing techniques to pave the way for realization of future flexible and wearable electronics. Direct printing of functional materials, structures, and devices ...
Artificial Nonlinear Stiffness and Artificial Vacuum for Wide-Bandwidth High-Q Resonance Behavior
(2023-07-27)
This dissertation explores the use of electrostatic force feedback to generate artificial
performance characteristics in a microdevice that would otherwise not be possible. As a test case,
a non-vacuumed microresonator ...
Automatic Actigraphy and Polysomnography Sleep Scoring using Deep Learning
(2023-08-04)
The utilization of deep learning models for sleep scoring has become an increasingly promising area of research due to their potential to automate and enhance the accuracy of this crucial task. Sleep scoring involves ...
Signal Integrity Challenges and Solutions at Cryogenic Temperatures
(2023-08-07)
The field of electronics is rapidly evolving and expanding into new frontiers, including cryogenic environments. Cryogenic temperatures below 10 K have become increasingly important in various applications such as quantum ...