Index Catalog // Hyrax

Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

O Criador:: Masood, Khalid I.
Abstract:: 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...
Resource Type:: Dissertation

Highly-Integrated Low-Power RF Receivers for Distributed Sensing and IoT Devices

O Criador:: Bialek, Hayden
Abstract:: 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...
Resource Type:: Dissertation

Point-of-care and wearable sensors for non-invasive stress hormone detection with molecularly imprinted techniques

O Criador:: Yeasmin, Sanjida
Abstract:: 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;...
Resource Type:: Dissertation

Plasma-Jet Printing and In Situ Sintering of Electronic Materials for Flexible Hybrid Electronic Applications

O Criador:: Manzi, Jacob
Abstract:: 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....
Resource Type:: Dissertation

Power system reliability and power quality assessments with grid-connected wave energy converters

O Criador:: Boller, Michael D.
Abstract:: 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...
Resource Type:: Dissertation

Machine learning for computer architecture design and optimization

O Criador:: Penney, Drew
Abstract:: 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...
Resource Type:: Dissertation

Secrecy of massive MIMO systems under antenna failure

O Criador:: Assiri, Mohammad
Abstract:: 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...
Resource Type:: Dissertation

Wireless Microwave Sensing in Environmental and Biomedical Applications

O Criador:: Uluer, Ismail Hakki
Abstract:: 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...
Resource Type:: Dissertation

Environment-adaptive RF Sensing with Transferable ANN Features

O Criador:: Wang, Guangxin
Abstract:: 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...
Resource Type:: Dissertation

Advancing Power Grid Computing: Analysis and Synthesis of Wide-Area Data, Distributed Real-Time Hardware-In-the-Loop Simulations, and Machine Learning for Event Detection

O Criador:: Hagan, Travis
Abstract:: 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...
Resource Type:: Dissertation

Hyrax

Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

Highly-Integrated Low-Power RF Receivers for Distributed Sensing and IoT Devices

Point-of-care and wearable sensors for non-invasive stress hormone detection with molecularly imprinted techniques

Plasma-Jet Printing and In Situ Sintering of Electronic Materials for Flexible Hybrid Electronic Applications

Power system reliability and power quality assessments with grid-connected wave energy converters

Machine learning for computer architecture design and optimization

Secrecy of massive MIMO systems under antenna failure

Wireless Microwave Sensing in Environmental and Biomedical Applications

Environment-adaptive RF Sensing with Transferable ANN Features

Advancing Power Grid Computing: Analysis and Synthesis of Wide-Area Data, Distributed Real-Time Hardware-In-the-Loop Simulations, and Machine Learning for Event Detection

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