In this comprehensive thesis, we present a series of experiments and findings that highlight the
critical importance of TDC Voltage Sensors in the hardware security domain. Our research begins
by introducing a novel self-calibrating module, demonstrating its efficiency through preliminary
calibration tests. We then delve into the Peak-to-Peak tests, which...
The ferromagnetic resonance (FMR) phenomenon serves as a sensitive probe of the effective internal fields in a magnetic material. FMR spectroscopy has consequently become a well-established technique, extensively employed in assessing material properties such as magnetic anisotropy, Landé g-factor, damping parameter, and the magnetoelastic constants of magnetic materials. Determining these...
A multidisciplinary perspective is necessitated for the analysis of wave energy conversion systems, spanning hydrodynamics, mechanics, electric power, and control systems. The complexity inherent in these scientific domains poses challenges for unified analysis. This paper addresses these challenges by connecting various domains through the application of circuit theory, characterizing the...
Low-power receivers (RX) with 100$\mu W$-scale power consumption can enable several power/energy-constrained IoT applications. However, achieving sensitivity, interferer tolerance and wide operating range with low power presents a challenge for existing architectures, particularly those constrained to highly integrated solutions without high-Q off-chip components. Existing solutions rely heavily on high quality...
Rapid and sensitive detection of stress hormones, such as cortisol and dehydroepiandrosterone (DHEA), can benefit the diagnosis of diseases related to adrenal gland disorders, post-traumatic stress disorders, chronic fatigue syndrome, and more. Stress hormones fluctuate in a circadian rhythm, the highest in the early morning and the lowest at night;...
RF data-driven device fingerprinting through the use of deep learning has recently surfaced as a possible method for secure device identification and authentication. Traditional approaches are commonly susceptible to the domain adaptation problem where a model trained on data from one domain performs badly when tested on data from a...
Additive manufacturing has become a promising method for the fabrication of inexpensive, green, flexible sensors and electronics. Printed electronics on low- temperature substrates are very appealing for the flexible hybrid electronics market for their use in disposable and biocompatible electronic applications and in areas like packaging, wearables, and consumer electronics....
Motivation: Many robots such as legged robots and prosthetic hands/arms are designed to interact with uncertain and time-varying environments to accomplish their tasks.
Observations on humans and animals during their daily tasks suggest that they adapt their leg compliance while traversing with different velocities on different grounds and adjust their...
The electric power grids of countries across the globe rely on load and generation forecasting to know when, where, and how much resources need to be dispatched to sustain proper grid operation. Because of this, forecasting needs to be highly accurate to avoid unnecessary resource dispatch which can be costly....
Just off the coast of the Pacific Northwest lies the Cascadia Subduction Zone (CSZ); odds of a very large CSZ earthquake occurring in the next 50 years is estimated to be about 37%. A CSZ seismic event has the potential to cause wide scale damage not just to the power...
Previous research has shown that women are increasingly sexualized in a variety of media contexts. I conducted a content analysis of film trailers from 2018 and 2019 to examine the relationship between the sexualization and objectification of female-presenting characters to the popularity of the film and its trailer. A random...
Generating abundant, renewable energy from Earth’s oceans is an attractive option for meeting increasing energy demand. Marine renewable energy also comes with the variability of renewable sources, which impact the reliability and power quality of the electrical grid. On a transmission-level, this dissertation looks at ensuring reliability of the power...
Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
Hyperspectral images consist of intensity measurements associated with a large number of EM wavelengths per pixel. When a pixel contains a single material, the measurements of the pixel match the spectral signature of the material. When multiple materials are present in a single pixel, spectral mixing occurs, and signatures of...
Ocean Drifters are a low-cost and easy-to-use platform that are commonly used for studying ocean currents. With added interest in studying the ocean, emphasis has been taken to make it more accessible. A pilot course focused on introducing the topic of ocean sensing was announced. The HC 407 course will...
As the fifth generation of mobile communication systems (5G) is being deployed, massive multiple-input multiple-output (MIMO) serves as one of its enabling technologies where reliable and ultra low latency communications are achieved while being power and spectrum efficient. This thesis studies the security aspect of massive MIMO system from the...
Materials with a strong spin Hall effect and Rashba-Edelstein effect have the potential to improve the efficiency of solid-state magnetic memory technologies and other magnetic logic devices. Heavy metals have been identified as having these properties, including the beta crystal phase of tungsten. In this work, we determine the strength...
This dissertation studies two different wireless microwave sensing applications in the subjects of environmental monitoring and biomedical devices. The environmental sensing application presents a design of novel wireless sensor node configurations. These nodes are intended to be used specifically in a built environment of railroad track ballast for its health...
Radio frequency (RF) sensing arises as a promising option for enabling the internet of things (IoT) applications that transform our life into a world of smart homes, smart cities, and smart industries. The innovation of IoT reveals the benefits of RF sensing across cost, pervasiveness, unobtrusiveness, and privacy. However, challenges...
Recent advances in computing, communication, and artificial intelligence (AI) technologies have made our world more interconnected and data-rich than ever with the proliferation of smart devices and sensors. As a result, we are increasingly dependent on electronic devices and sensors to automate away life’s mundane parts. For example, in business...
Simultaneous speech-to-text translation remains a difficult yet important problem for modern machine learning models whereby a text translation is generated concurrently with receiving partial speech inputs. One state-of-the-art simultaneous speech-to-text model is the augmented memory transformer whose encoder breaks a speech input into fixed-size overlapping segments composed of left, right,...
Ring Amplifier serves as a great candidate both for precision amplification and fast integration in the discrete time system. It can be utilized in high-performance analog-to-digital converters (ADCs). In high-speed ADC utilizing pipelined architectures with residue amplification, Successive-Approximation Register (SAR) ADCs as the sub-ADC and power efficient Ring Amplifier based...
Global Positioning Systems have allowed for precise timing of power system measurements over wide areas. This newly found capability has the potential to provide much greater insight into the operation of the power system and its response to contingencies, but few analytical techniques currently exist that provide enough robustness and...
Artificial collectives are useful for accomplishing tasks that require teamwork from multiple simple robots. Multiple robot and collective testbeds have been developed, yet none stay committed to leverage the local interactions, group size, and imperfect information assumptions that strengthen biological collectives. A review of the collective and multiple robot literature,...
In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
Is it possible to determine whether a signal violates a formula in Signal Temporal Logic (STL), if the monitor only has access to a low-resolution version of the signal? We answer this question affirmatively by demonstrating that temporal logic has a multiresolution structure, which parallels the multiresolution structure of signals....
Due to increasing populations, food production must increase significantly to be sustainable. The Internet of Things has been shown to have potential in the field of agriculture to make farming practices more efficient. However, for IoT to be properly integrated into agriculture, sensors must be applied within the field and...
Within the past decade, the continued-scaling of CMOS processes and improvements in industry mixed-signal integrated-circuit designs have enabled a rapid decrease in the cost, form-factor, and power for point-of-care diagnostics and electrochemical instrumentation. Similarly, advances in low-power RF designs have prompted entire System-on-Modules supporting widely varied Internet-of-Things (IoT) applications. The...
Thermoelectric generators (TEGs) have gained much popularity in the search for alternatives to clean sources to harvest energy. Given their capability to harness an electric potential given a temperature differential across their opposing faces, and the foreseeable prevalence of naturally and/or commonly occurring temperature gradients in multiple applications, TEGs are...
The goal of this project is to create a lightweight radioactive isotope identification program for an embedded system using the C programming language to perform isotope matching on a subset of isotopes. First, the physics behind radioactive spectra and their key features are explained. Next, the characteristics of the spectra...
NAND flash based solid state drives (SSDs) require out-of-place updating due to the characteristics of flash memories. In addition, due to the mismatched granularity between read/write and erase operations, a cleaning policy involving garbage collection and wear leveling has to perform data migration incurring high overhead. Another challenge is that...
This work – in which three peer-reviewed academic papers are presented – addresses the ap-plication of Bayesian Reinforcement Learning to the control of a class of ocean wave energy conversion systems. The first paper presents a comparison of a Reinforcement-Learning (RL) based wave energy converter controller against standard Reactive Damping...
Multiple wave energy converter (WEC) archetypes exist with varying power take-off (PTO) designs in the attempt to maximize ocean energy harnessed and converted into useful energy. The pendulum PTO is popular for its simple, yet robust functionality due to its internally located components and simple operation. Additionally, this PTO does...
To detail common paths followed by companies to produce innovative products, I reviewed existing literature and conducted several semi-structured interviews with a variety of people from different companies and fields. Based on this research, I found that most (but not all) innovative products follow a few general paths. These paths...
Hydrokinetic turbines are an emerging form of renewable energy generation. Although similar to wind turbines, hydrokinetic systems incur extra costs and face constraints in available footprint. SiC power semiconductors within the required power electronics improve the performance. With higher switching afforded by SiC devices, the footprint of passive components for...
Nucleation in atomic layer deposition (ALD) determines how many cycles are required to initiate growth and to form a continuous film. Nucleation has been exploited for the formation of nanoparticles, catalysts, and for area-selective ALD. Although sometimes overlooked or misrepresented in ALD reports, nucleation is also critical for multicomponent ALD...
Despite near unanimous opinion on the consequences of climate change by scientific community, the rate at which carbon is emitted into the atmosphere continues to increase. The need for a clean and sustainable source of energy is therefore one of humankind's most urgent challenges. Solar energy is the most abundant...
Wind turbines serve an increasing proportion of total energy generation, with expanded onshore and offshore installations proceeding worldwide. Continued construction, expansion, and operation of wind energy installations must be managed in conjunction with effects on local and migratory wildlife, specifically bird and bat species that may be affected by wind...
Radiation is part of our life. Most people may know a radioactive source is very dangerous. But there are very few situations people are exposed to uncontrolled radionuclides above background. A radioactive source can emit gamma rays which are the highest energy type in electromagnetic radiation.[2] Gamma rays are like...
Bird and bat collisions with wind turbines are a problem that needs to be better quantified for its impact to be fully understood. This thesis documents portions of the design of a sensor patch module for use on wind turbines blades to detect impacts caused by birds and bats. This...
Modern sensors are complex systems comprising multiple sub-systems such as transducers, analog and mixed-signal interface circuits, digital processing circuits, and packaging. Over the last few decades, innovations in these sub-systems combined with their increased integration in complementary metal-oxide semiconductor (CMOS) processes have led to the rapid growth in sensors for...
The deployment of advanced technology standards for 5G and beyond in cellular networks has resulted in interest in integrated circuits (ICs) operating at frequencies above 10GHz. This has sparked research on wideband circuits in commercial low-cost silicon technologies, operating at high RF and mm-wave frequencies. Given the wide range of...
Nowadays, wireless communication systems use high-order quadrature amplitude modulation (QAM) together with orthogonal frequency-division multiplexing (OFDM) to increase the link capacity and robustness. These signals always have large peak-to-average power ratio (PAPR) and require power amplifiers (PAs) achieve both high efficiency and linearity simultaneously. For the efficiency, the complementary metal...
There has been tremendous growth in using data analytic and machine learning algorithms to make critical decisions, such as in the national power grid, healthcare operations, and autonomous vehicles. Employing data analytic for decision-making allows cyber attackers to manipulate the decisions of these algorithms through data falsification. Hence, the trustworthiness...
Atomic layer deposition (ALD) is an enabling technique for many new micro- and nanoscale technologies. The self-limiting surface chemical reactions by which ALD fundamentally operates give rise to uniquely high precision (atomic) control over deposited film thickness, uniformity over large areas, and conformality over complex and extreme topographies. One such...
This work addresses the application of Nonlinear Model Predictive Control (NMPC) to a class of ocean wave energy conversion systems in which the cost functional is not in a standard quadratic form, and the WEC model includes the nonlinear effects, such as the hydrodynamic viscous drag. The NMPC implementation is...
Dense electrical recording of biosignals has been developed to provide spatial resolution and precise temporal information for health monitoring, diagnostics, and clinical research. However, more electrodes require more wires, and wiring density quickly becomes a limiting factor. To break this bottleneck, we proposed a frequency-division multiplexing (FDM) based architecture for...
Locating sources of radio signals can be useful in many applications. From pointing antennas at nearby radio towers to fox hunting, being able to determine the relative location or direction to a radio transmitter can be very useful. Generally, it is necessary to have the current GPS locations of both...
As human-robot interaction becomes more commonplace, roboticists should understand how robot behaviors are perceived by people to avoid misunderstandings. In our lab, we are exploring the use of a Cozmo as an interactive, break-taking aid in workplace settings. Before our interactive aid can be released into the wild, we must...