1,720,979 research outputs found
RHL-Butterfly: A Scalable IoT-Based Breadboard Platform for Embedded Systems and Remote Laboratories
Thesis (Master's)--University of Washington, 2023The RHL-Butterfly is a research to practice virtualized breadboard solution for FPGAs and ARM microcontrollers in remote laboratories and engineering education curriculum. The COVID-19 pandemic brought challenges to traditional engineering education practices, particularly with hardware, hands-on engineering practices without compromising creativity and instruction. The RHL-Butterfly aims to address traditional engineering education shortcomings and provide equitable access for all students interested in the engineering curriculum. This work improves upon an existing virtual breadboard model by using virtualization to interface a virtual breadboard with physical, remote hardware from a website user interface and presents a solution to support FPGAs and ARM microcontrollers and supporting intermediate logic gate integrated circuits. The new iteration of the virtualized breadboard uses a custom protocol that converts the graphically represented breadboard layout into a 1D string representation for network communication. The 1D string representation is then parsed in a custom designed, open-source, and scalable breadboard parser for embedded systems. This balance between a virtualized interface and physical hardware implementation preserves a hardware curriculum embedded systems engineering education and brings a promising solution to expand the scalability and accessibility of engineering labs
CARE - Clinician Augmented Reality Environment: Developing an Apple Vision Pro Framework for Image-guided Surgeries
Thesis (Master's)--University of Washington, 2025In the evolving landscape of surgical specialties, the shift toward minimally invasive procedures has become increasingly prominent, with most surgeries now being guided by imaging techniques such as laparoscopy, endoscopy, and fluoroscopy. Monitors have become essential for these procedures, yet their placement and visibility present significant challenges in terms of user experience and ergonomics, contributing to musculoskeletal disorders affecting 50-85% of practicing surgeons. Operating room staff continually seek innovations that simplify the environment, improve the surgical experience, and improve patient outcomes. Augmented Reality (AR) tools offer a promising solution by allowing optimal placement of virtual monitors, reducing the physical constraints and ergonomic challenges of traditional monitor placement. We are developing the Clinician Augmented Reality Environment (CARE) platform, a wireless streaming platform paired with an Apple Vision Pro AR headset software application, to enable wireless casting of any video source directly into the surgeon's field of view. Our implementation achieved streaming latencies under 71 milliseconds for 1080p video, meeting established requirements for real-time surgical applications. This thesis establishes a user-centered design methodology grounded in comprehensive interviews with 23 clinical and engineering stakeholders, analyzes the technical performance of our platform in surgical contexts, and evaluates the potential for clinical deployment and commercialization of AR-based surgical technologies
MELODY: A Platform-agnostic Model for building and evaluating Remote Labs of Software-Defined Radio Technology
Thesis (Ph.D.)--University of Washington, 2024This dissertation introduces the MELODY model, a comprehensive framework for developing, implementing, and evaluating remote laboratories based on Software Defined Radio (SDR) technology, which is gaining increasing traction in engineering education. MELODY integrates both software and hardware components in a layered approach designed to enhance the functionality and integration across various system elements, focusing on fostering educational accessibility and pedagogical effectiveness. The dissertation details the architectural structure and technical features of SDR technology as applied in remote laboratory settings, highlighting key aspects such as network types, user requirements, equipment costs, and interoperability. It outlines a classification framework within the MELODY model, aimed at evaluating and improving features such as lab scalability, interoperability, and accessibility. Developed on an open-source and agnostic platform, this framework promotes compatibility across a variety of hardware and software environments, enhancing flexibility for both educators and students. The MELODY model’s classification system assesses laboratories using metrics including isolation, characterization, scalability, interoperability, and accessibility, which are all based on engineering standards. Through three distinct case studies, this research demonstrates the practical application and pedagogical effectiveness of the MELODY model in different educational contexts. The RHL-RELIA lab illustrates the model's implementation in radio communications, providing detailed insights into its development and the pedagogical evaluations conducted. The RHL-RADAR lab applies the MELODY model to develop a continuous wave radar system, emphasizing the model’s adaptability and scalability. Lastly, a study focused on mitigating digital inequalities utilizes surveys and focus groups to integrate user feedback into the model, ensuring equitable access to remote lab resources. These case studies collectively reflect the model's capacity to adapt to diverse educational needs and its significant role in enhancing educational outcomes by addressing both technological and equity challenges. Looking ahead, this dissertation outlines potential directions for further research and broader application of the MELODY model across various disciplines and regions. The continued development of this model seeks to address the ongoing challenges between technological advancements and educational equity, with the goal of fostering more inclusive and effective learning environments worldwide. Future efforts will build on the groundwork established by this dissertation to enhance and expand the capabilities of remote laboratories. This will ensure that the MELODY model remains a benchmark in the ongoing evolution of educational technologies
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Smartphone-based 3D Scanning and Image Processing for Ostomy Wafer Customization
Thesis (Master's)--University of Washington, 2023Millions of ostomy patients rely on outdated tools to adjust their wafers, which must fit around their stoma. The stoma can be described as a surgically created hole in a patient's abdomen, from which the patient’s intestinal or urinary tract will divert bodily waste. One of the purposes of ostomy wafers is to protect the surrounding skin from bodily waste, and incorrectly fitting the wafers can lead to many complications. For example, a tightly fitting wafer can cut into the nerveless intestine, leading to unnoticed excessive bleeding. Conversely, a loosely fitting wafer exposes skin to bodily waste, which can result in skin erosion and infection. Recognizing the need for better tools for ostomy patients, we are developing Osto-Mate, a system utilizing smartphones with depth-sensing capabilities, to provide ostomy patients with customized wafers. This thesis explores the characterization of the iPhone’s TrueDepth sensor to confirm its suitability as a 3D scanning device for the system and introduces a method for extracting stoma model contours from 2.5D images. It further discusses the design and functionality of the application, illustrating its potential to improve the process of ostomy wafer fitting. Preliminary tests show promising results for enhancing the accuracy of wafer adjustment, paving the way for improved patient safety and convenience
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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