Index Catalog // Hyrax

Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

Creatore:: 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

Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

Creatore:: Aziere, Nicolas
Abstract:: This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
Resource Type:: Dissertation

Supporting merge comprehension when resolving merge conflicts

Creatore:: Nelson, Nicholas
Abstract:: Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
Resource Type:: Dissertation

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

Creatore:: 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

Semantic embodied navigation : developing agents that navigate from language and vision

Creatore:: Krantz, Jacob
Abstract:: Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
Resource Type:: Dissertation

Visual object discovery and understanding

Creatore:: Yuan, Jialin
Abstract:: Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
Resource Type:: Dissertation

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

Creatore:: 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

Model Selection of Discrete Classifiers under Class and Cost Distribution Change: An Empirical Study

Creatore:: Ahmed, Nahian and Hutchinson, Rebecca A.
Abstract:: A variety of important machine learning applications require predictions on test data with different characteristics than the data on which a model was trained and validated. In particular, test data may have a different relative frequency of positives and negatives (i.e., class distribution) and/or different mislabeling costs of false positive...
Resource Type:: Technical Report

Learning algorithms for adapting the compliance of robotic limbs

Creatore:: Aboufazeli, Mahtab
Abstract:: 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...
Resource Type:: Dissertation

New constructions and applications for homomorphic secret sharing and function secret sharing

Creatore:: Singh, Jaspal
Abstract:: A secret sharing scheme allows a dealer to distribute a secret with a set of parties, such that only a certain subset of parties can collaborate and learn the shared secret. Traditional secret sharing schemes have been used as building blocks in various subdomains of cryptography. Recently, two new extensions...
Resource Type:: Dissertation

Hyrax

Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

Supporting merge comprehension when resolving merge conflicts

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

Semantic embodied navigation : developing agents that navigate from language and vision

Visual object discovery and understanding

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

Model Selection of Discrete Classifiers under Class and Cost Distribution Change: An Empirical Study

Learning algorithms for adapting the compliance of robotic limbs

New constructions and applications for homomorphic secret sharing and function secret sharing

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