Browsing by Subject "Security"
Now showing items 1-7 of 7
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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 ... -
Enhanced Password Security on Mobile Devices
(2013)Sleek and powerful touchscreen devices with continuous access to high-bandwidth wireless data networks have transformed mobile into a first-class development platform. Many applications (i.e., "apps") written for these platforms ... -
Optimization of Trustworthy Biomolecular Quantitative Analysis Using Cyber-Physical Microfluidic Platforms
(2018)Considerable effort has been devoted in recent years to the design and implementation of microfluidic platforms for biomolecular quantitative analysis. However, today's platforms suffer from two major limitations: (1) they ... -
Revoked, Restructured or Retained: Examining the effect of external shifts on norm compliance
(2010)In this work, I use case study analysis to examine the response by states to exogenous shifts in international norms. Specifically, I examine the behavior of states when unforeseen technological advances make the norm previously ... -
Securing Youth: Humanitarian Futures in Post-Conflict Uganda
(2021)The dissertation considers how young people in northern Uganda navigate post-conflict life through participant observation, interviews, and ethnographic focus groups with youth working as security guards, current and formerly ... -
Security and Robustness in Neuromorphic Computing and Deep Learning
(2020)Machine learning (ML) has been promoting fast in the recent decade. Among many ML algorithms, inspired by biological neural systems, neural networks (NNs) and neuromorphic computing systems (NCSs) achieve state-of-the-art ... -
Security and Survivability of Heterogeneous SoCs
(2020)With the increasing popularity of internet-of-things (IoT) and machine learning-based applications, heterogeneous computing systems-on-chip (SoCs) are being developed to meet the growing need for powerful and energy-efficient ...
