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Articles 1921 - 1950 of 11683

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A Risc-V Matrix Multiplier Using Systolic Arrays, Miao Wang Jan 2022

A Risc-V Matrix Multiplier Using Systolic Arrays, Miao Wang

Master's Theses

Many modern day applications can be solved with the usage of machine learning, which involves training a computer to learn on large amounts of data without direct programmer guidance. Conventional computers typically use normal general purpose central processing units, though more specialized tasks may take advantage of more parallel hardware such as graphics processing units. In the pursuit of increased performance to facilitate increasingly more complex machine learning models, researchers in both academia and industry look towards field-programmable gate arrays and application specific integrated circuits for their needs. Various implementations, both theoretical and practical, exist across a wide variety of …

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Research Handling Effects On Stress Hormones, Blood Parameters, And Heart Rate In Juvenile Northern Elephant Seals (Mirounga Angustirostris), Lauren A. Cooley Jan 2022

Research Handling Effects On Stress Hormones, Blood Parameters, And Heart Rate In Juvenile Northern Elephant Seals (Mirounga Angustirostris), Lauren A. Cooley

Master's Theses

Wildlife researchers must balance the need to safely capture and handle their study animals to sample tissues, collect morphological measurements, and attach dataloggers while simultaneously ensuring their results are not confounded by stress artifacts caused by handling. To determine the physiological effects of research activities including chemical immobilization, transport, instrumentation with biologgers, and overnight holding on a model marine mammal species, I collected hormone, blood chemistry, hematology, and heart rate data from 19 juvenile northern elephant seals (Mirounga angustirostris) throughout a translocation experiment. Across my six sampling timepoints, cortisol and aldosterone data revealed a moderate hormonal stress response to handling …

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Coordination Protocols For Verifiable Consistency In Distributed Storage Systems, Ashwin Ramaswamy Jan 2022

Coordination Protocols For Verifiable Consistency In Distributed Storage Systems, Ashwin Ramaswamy

Master's Theses

Achieving consistency in a highly available distributed storage system has been formally proven to be an impossible task when the system faces network partitions and faulty processes. The complexity is exacerbated when the system allows concurrent processes to send transactions to all the other servers and coordinate the consistent commitment of different transactions. In the event of a partition, each server may allow clients to request updates involving the current state of the data, which makes achieving replicated consistency challenging. To solve the inconsistency problems, several consensus protocols are used, but have strict requirements in order to make progress and …

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Motivational And Participatory Experiences Of Female Service Members In Crossfit, Nicole M. Levine Jan 2022

Motivational And Participatory Experiences Of Female Service Members In Crossfit, Nicole M. Levine

Master's Theses

CrossFit is a high-intensity exercise program that has expanded globally over the last several years. Its minimalistic approach targeted at multiple aerobic and muscular strength domains make it accessible and applicable to populations with limited space and equipment, such as overseas military installations. Despite several studies examining the motivational factors of individuals engaging in CrossFit, research is scant on the motivational factors of military professionals participating in CrossFit outside of their formalized operational training. Additionally, there is no specific literature on female military participation in CrossFit. This study qualitatively explored the participatory motivations of 15 female U.S. military service members …

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Evaluation Of The Offline-Coupled Gfs-Cmaq In Recent Wildfires In Northern California, Joyce Leung Jan 2022

Evaluation Of The Offline-Coupled Gfs-Cmaq In Recent Wildfires In Northern California, Joyce Leung

Master's Theses

As wildfires become more frequent and severe under climate change, there is a growing need to simulate the impact of fires on air quality and human health using numerical models. The National Air Quality Forecast Capability is an operational air quality forecasting system that provides nationwide ozone and particulate matter (PM2.5) prediction. It is made up of a chemical transport model – the Community Multiscale Air Quality (CMAQ) model – driven by a meteorological model. Recently, the Global Forecast System (GFS) replaced the North American Mesoscale Forecast System (NAM) to drive CMAQ. In addition to these two modeling systems, the …

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"For Better Or Worse": Imagining Innovation In Smart City Municipal Design, Kevin M. Kochever Jan 2022

"For Better Or Worse": Imagining Innovation In Smart City Municipal Design, Kevin M. Kochever

Master's Theses

The smart city concept recently (ca. 2010) emerged as a corporate-led system-as-a-service (SaaS) tool to meet city needs of accessibility and efficiency. I looked at three Western cities—Reykjavík, San José, and Toronto—to discover what it meant for city managers to meet municipal needs by embracing smart initiatives. Senior-level city managers, consultants, and technologists invoked vocabularies of smartness and innovation, adopting Internet of Things (IoT) and artificial intelligence (AI) as tools to facilitate human resource and service efficiency needs. I found persistent ambiguity in how city managers described and measured outcomes for city smartness. I also found stakeholders used smartness to …

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Medical Records Management To Support Evidence-Based Medical Practice At Kisii Teaching And Referral Hospital, Kenya, Robert Nyakundi Gisemba Mr, Emily Ngeno Dr, Emily Bosire Dr Jan 2022

Medical Records Management To Support Evidence-Based Medical Practice At Kisii Teaching And Referral Hospital, Kenya, Robert Nyakundi Gisemba Mr, Emily Ngeno Dr, Emily Bosire Dr

Library Philosophy and Practice (e-journal)

This paper presents findings of a Master of Philosophy Degree in Information Sciences undertaken to assess medical records management (MRM) in support of evidence-based medical practices at Kisii Teaching and Referral Hospital (KTRH) with a view of proposing strategies to improve MRM in the hospital. Data was collected through interviews conducted with health records management officers, a system administrator, admission clerks, doctors, clinical officers, and nurses drawn from four departments that create; use; and manage medical records (MR). Findings indicated that KTRH faced several challenges in MRM that impact the provision of health care based on reliable evidence. These challenges …

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“When Will The Time Finally Come When There Will Only Be Humans”: An Unknown Letter From Beethoven To Heinrich Von Struve, Julia Ronge Jan 2022

“When Will The Time Finally Come When There Will Only Be Humans”: An Unknown Letter From Beethoven To Heinrich Von Struve, Julia Ronge

The Beethoven Journal

Transcription, translation, and discussion of a recently discovered letter from Ludwig van Beethoven to Heinrich von Struve from 1795. In the letter, Beethoven expresses a yearning for a time when there are only humans, without distinctions of rank and class. This sentiment accords with Schiller’s ode An die Freude, which Beethoven set to music more than once.

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From “Radical Blunders” To Compositional Solutions: A Form-Functional Perspective On Beethoven’S Early Eroica Continuity-Sketches, Thomas Posen Jan 2022

From “Radical Blunders” To Compositional Solutions: A Form-Functional Perspective On Beethoven’S Early Eroica Continuity-Sketches, Thomas Posen

The Beethoven Journal

Beethoven’s sketches to his third symphony, the Eroica, have fascinated scholars since Nottebohm’s pioneering study of the Eroica Sketchbook in the late nineteenth century. More recently, Alan Gosman and Lewis Lockwood finished a complete transcription of the sketchbook, which has led to a resurgent interest in these sketches. In this article, I re-evaluate Beethoven’s approaches to composing the first movement of the Eroica symphony by reappraising two supposed problems with the first two exposition continuity-sketches. Contrary to prior studies, which have interpreted these reputed compositional problems as “failed experiments” or “radical blunders” (Tovey 1941, 80), I interpret them …

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Twitter Bots’ Detection With Benford’S Law And Machine Learning, Sanmesh Bhosale, Fabio Di Troia Jan 2022

Twitter Bots’ Detection With Benford’S Law And Machine Learning, Sanmesh Bhosale, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

Online Social Networks (OSNs) have grown exponentially in terms of active users and have now become an influential factor in the formation of public opinions. For this reason, the use of bots and botnets for spreading misinformation on OSNs has become a widespread concern. Identifying bots and botnets on Twitter can require complex statistical methods to score a profile based on multiple features. Benford’s Law, or the Law of Anomalous Numbers, states that, in any naturally occurring sequence of numbers, the First Significant Leading Digit (FSLD) frequency follows a particular pattern such that they are unevenly distributed and reducing. This …

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Visual Task Classification Using Classic Machine Learning And Cnns, Devangi Vilas Chinchankarame, Noha Elfiky, Nada Attar Jan 2022

Visual Task Classification Using Classic Machine Learning And Cnns, Devangi Vilas Chinchankarame, Noha Elfiky, Nada Attar

Faculty Research, Scholarly, and Creative Activity

Our eyes actively perform tasks including, but not limited to, searching, comparing, and counting. This includes tasks in front of a computer, whether it be trivial activities like reading email, or video gaming, or more serious activities like drone management, or flight simulation. Understanding what type of visual task is being performed is important to develop intelligent user interfaces. In this work, we investigated standard machine and deep learning methods to identify the task type using eye-tracking data-including both raw numerical data and the visual representations of the user gaze scan paths and pupil size. To this end, we experimented …

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The Implications Of A Militarized Police Force In The United States, Nhat Dang Jan 2022

The Implications Of A Militarized Police Force In The United States, Nhat Dang

Themis: Research Journal of Justice Studies and Forensic Science

The police model in America is slowly changing. From the early days of America, the police were modeled after the London Metropolitan Police. Over time, this has changed from a civilian police model into a more militaristic one. Police militarization in America can be traced to the implementation of the 1033 program, which granted local law enforcement agencies surplus military equipment such as weapons, surveillance gadgets, and armored vehicles. This research paper examines the effects of increasing police militarization on public perception and public trust of police.

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The Lasting Impact Of Deinstitutionalization: Policing And The Mental Health Crisis, Ruqayyah Sorathia Jan 2022

The Lasting Impact Of Deinstitutionalization: Policing And The Mental Health Crisis, Ruqayyah Sorathia

Themis: Research Journal of Justice Studies and Forensic Science

Society is combating the detrimental effects of the deinstitutionalization policy, which transferred the treatment of mentally ill patients from state-run psychiatric hospitals to community-run psychiatric facilities. These patients frequently fall into relapses and are more likely to experience risky encounters with law enforcement officials who have no formal training in dealing with them. The paper analyzes the criminalization of mentally ill people, many with substance abuse and alcohol addictions, receiving treatment in jails and state prisons. Incarcerating people with mental illness, though reducing the homeless population from the street and disturbances faced by the public, still does not address the …

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Comparison Of An Oxford Nanopore Technologies Sequencing Platform To Existing Sequencing Methods For Differential Expression Studies, Nikola Klier Jan 2022

Comparison Of An Oxford Nanopore Technologies Sequencing Platform To Existing Sequencing Methods For Differential Expression Studies, Nikola Klier

Master's Projects

As the genomics revolution continues, there is constant pressure to make sequencing technology more accessible and practical for a growing series of applications. Existing sequencing technologies are often prohibitively expensive, limiting their use for novel diagnostic and research applications. Additionally, existing technologies are often limited by short read lengths, which may present problems to certain quantitative sequencing applications. One such application is Differential Expression Analysis, in which RNA-Seq is performed in paired samples under different experimental conditions to identify differences in gene expression. In this study, an Oxford Nanopore Technologies sequencing platform was used to conduct a differential expression study …

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Improving User Experiences For Wiki Systems, Parth Patel Jan 2022

Improving User Experiences For Wiki Systems, Parth Patel

Master's Projects

Wiki systems are web applications that allow users to collaboratively manage the content. Such systems enable users to read and write information in the form of web pages and share media items like videos, audios, books etc. Yioop is an open-source web portal with features of a search engine, a wiki system and discussion groups. In this project I have enhanced Yioop’s features for improving the user experiences. The preliminary work introduced new features like emoji picker tool for direct messaging system, unit testing framework for automating the UI testing of Yioop and redeeming advertisement credits back into real money. …

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A Lims-Less System For Genotyping Data In Marker-Assisted Selection, Alex Rios Jan 2022

A Lims-Less System For Genotyping Data In Marker-Assisted Selection, Alex Rios

Master's Projects

Climate change and feeding the growing human population are two tightly intertwined problems we face now. Innovations across several agricultural sectors are needed to meet these challenges as we proceed into the future. Seed companies and plant breeders are at the forefront of producing new plant varieties that must survive under the unique stresses of extreme weather patterns caused by changing climates. This project aims to provide breeders with faster marker results by streamlining the data process of marker-assisted selection (MAS). Manually managing genotyping data in MAS can take several hours or days to compile results for breeders. Although some …

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Adversarial Attacks On Speech Separation Systems, Kendrick Trinh Jan 2022

Adversarial Attacks On Speech Separation Systems, Kendrick Trinh

Master's Projects

Speech separation is a special form of blind source separation in which the objective is to decouple two or more sources such that they are distinct. The need for such an ability grows as speech activated device usage increases in our every day life. These systems, however, are susceptible to malicious actors. In this work, we repurpose proven adversarial attacks and leverage them against a combination speech separation and speech recognition system. The attack adds adversarial noise to a mixture of two voices such that the two outputs of the speech separation system are similarly transcribed by the speech recognition …

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Culturally Responsive School Leadership In Continuation High Schools: An Alternative Approach In Leadership Styles, Roberto C. Portillo Jan 2022

Culturally Responsive School Leadership In Continuation High Schools: An Alternative Approach In Leadership Styles, Roberto C. Portillo

Dissertations

Continuation high schools and the students they serve are often invisible and ignored to most Californians. However, state school authorities estimate that over 115,000 California high school students will pass through one of the state's 519 continuation high schools each year, to either graduate with a diploma, or to drop out of school altogether (Austin & Dixon, 2008). Principals in these schools must be exceptional and well prepared. However, principals have been trained to implement culturally responsive school leadership at their sites. Eight continuation high school principals described their experiences regarding their preparation, supports, challenges and successes in implementing culturally …

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Vicks In The Classroom: A Study On The Effects Of Teacher Cultural Awareness On Hispanic/Latinx Student Discipline, Arthur A. Maldonado Jan 2022

Vicks In The Classroom: A Study On The Effects Of Teacher Cultural Awareness On Hispanic/Latinx Student Discipline, Arthur A. Maldonado

Dissertations

With the booming Hispanic/Latinx populations nationwide, particularly in the state of California, the disproportionate disciplining of this student population for minor infractions such as defiance is an issue that has persisted for many decades. Therefore, to better inform this phenomenon, a historical perspective and critical look into the cultural awareness of teachers was examined throughout this research. The purpose of this mixed-methods study was to examine the relationship between middle school teacher cultural awareness and the disciplining of Hispanic/Latinx students in the schools being studied. The findings in this study reveal cultural perceptions from teachers that current body of research …

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Review Of Beethoven Studies 4, Ed. Keith Chapin And David Wyn Jones, Nicholas Chong Jan 2022

Review Of Beethoven Studies 4, Ed. Keith Chapin And David Wyn Jones, Nicholas Chong

The Beethoven Journal

No abstract provided.

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“The Bonn Master-Baker Gottfried Fischer’S Reminiscences Of Beethoven’S Youth” [Des Bonner Bäckermeisters Gottfried Fischer Aufzeichnungen Über Beethovens Jugend]. Translated Into English, With Editorial Commentary And Notes., Susan Cooper Jan 2022

“The Bonn Master-Baker Gottfried Fischer’S Reminiscences Of Beethoven’S Youth” [Des Bonner Bäckermeisters Gottfried Fischer Aufzeichnungen Über Beethovens Jugend]. Translated Into English, With Editorial Commentary And Notes., Susan Cooper

The Beethoven Journal

No abstract provided.

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Benchmarking Compositionality With Formal Languages, Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell Jan 2022

Benchmarking Compositionality With Formal Languages, Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell

Faculty Research, Scholarly, and Creative Activity

Recombining known primitive concepts into larger novel combinations is a quintessentially human cognitive capability. Whether large neural models in NLP can acquire this ability while learning from data is an open question. In this paper, we investigate this problem from the perspective of formal languages. We use deterministic finite-state transducers to make an unbounded number of datasets with controllable properties governing compositionality. By randomly sampling over many transducers, we explore which of their properties contribute to learnability of a compositional relation by a neural network. We find that the models either learn the relations completely or not at all. The …

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Reed Magazine, Issue 155, Khem K. Arya, John T. Battaglia, Soramimi Hanarejima, Cora Lewis, Aeriel Merillat, Mohamed Shalabi, Ocean Vuong, Yiru Zhang, Marjan Kamali, Rashad Hosein, Suzanne Rico, Kirsten Reneau, Jerilynn Aquino, Katie Culligan, Susan Dambroff, Max Dorfman, Sean Enfield, Leah Kuenzi, Kazim Ali, John Blair, Tom Bennett, Partridge Boswell, Dante Di Stefano, Jonathan Greenhause, Lynn Hoggard, Leslie Anne Mcilroy, David J.S. Pickering, Noelani Piters, Kait Quinn, Henry 7 Reneau Jr, Danielle Roberts, Leona Sevick, Terry Tierney, Brendan Todt, Pamela Wax, Erin Wilson, Maggie Wolff, Xiadi Zhai, Matty Heimgartner, Antara Gangwal, Lance Fung, Caroline Dejeneffe, Koko Alexander, Dottie Lo Bue, Timothy Edward Cech, Jerome Chia-Horng Lin, Doug Edwards, Brittany Fanning, Irina Greciuhina, Roy Huerta, Le Joe, Hana Lock, Loren Marie, Nelson Muff, Shubham Sharma, Heather Perrine Shreve, Rachel Silva, Soap Soap, Kelly A. Harrison, Persis Karim Jan 2022

Reed Magazine, Issue 155, Khem K. Arya, John T. Battaglia, Soramimi Hanarejima, Cora Lewis, Aeriel Merillat, Mohamed Shalabi, Ocean Vuong, Yiru Zhang, Marjan Kamali, Rashad Hosein, Suzanne Rico, Kirsten Reneau, Jerilynn Aquino, Katie Culligan, Susan Dambroff, Max Dorfman, Sean Enfield, Leah Kuenzi, Kazim Ali, John Blair, Tom Bennett, Partridge Boswell, Dante Di Stefano, Jonathan Greenhause, Lynn Hoggard, Leslie Anne Mcilroy, David J.S. Pickering, Noelani Piters, Kait Quinn, Henry 7 Reneau Jr, Danielle Roberts, Leona Sevick, Terry Tierney, Brendan Todt, Pamela Wax, Erin Wilson, Maggie Wolff, Xiadi Zhai, Matty Heimgartner, Antara Gangwal, Lance Fung, Caroline Dejeneffe, Koko Alexander, Dottie Lo Bue, Timothy Edward Cech, Jerome Chia-Horng Lin, Doug Edwards, Brittany Fanning, Irina Greciuhina, Roy Huerta, Le Joe, Hana Lock, Loren Marie, Nelson Muff, Shubham Sharma, Heather Perrine Shreve, Rachel Silva, Soap Soap, Kelly A. Harrison, Persis Karim

Reed Magazine

No abstract provided.

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Antisocial Personality Disorder: A Theoretical Approach Utilizing Three Dimensions Of Power Analysis, Timothy J. Nguyen, Tara Zolnikov Jan 2022

Antisocial Personality Disorder: A Theoretical Approach Utilizing Three Dimensions Of Power Analysis, Timothy J. Nguyen, Tara Zolnikov

Faculty Research, Scholarly, and Creative Activity

Antisocial Personality Disorder (ASPD) is often associated with high costs and burden to the rest of society; however, it remains a disorder with no evidence of effective traditional psychological interventions. This theoretical study aimed to analyze the phenomenon of power and how it may influence the conceptualization of ASPD. Data was collected through a comprehensive and systematic review of the current ASPD literature. Findings suggested ASPD as severely conceptually flawed, highly imbalanced in terms of power dynamics between professionals and people diagnosed with ASPD, absent of participants’ voices, absent of any effective traditional psychotherapy interventions, disproportionately focused on deficit-oriented strategies …

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A Blockchain-Based Retribution Mechanism For Collaborative Intrusion Detection, Wenjun Fan, Shubham Kumar, Sang Yoon Chang, Younghee Park Jan 2022

A Blockchain-Based Retribution Mechanism For Collaborative Intrusion Detection, Wenjun Fan, Shubham Kumar, Sang Yoon Chang, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Collaborative intrusion detection approach uses the shared detection signature between the collaborative participants to facilitate coordinated defense. In the context of collaborative intrusion detection system (CIDS), however, there is no research focusing on the efficiency of the shared detection signature. The inefficient detection signature costs not only the IDS resource but also the process of the peer-to-peer (P2P) network. In this paper, we therefore propose a blockchain-based retribution mechanism, which aims to incentivize the participants to contribute to verifying the efficiency of the detection signature in terms of certain distributed consensus. We implement a prototype using Ethereum blockchain, which instantiates …

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Race Car Aerodynamics Simulation And Transmitted Tire Reaction Forces, Mark T.J. Lin, Periklis Papadopoulos Jan 2022

Race Car Aerodynamics Simulation And Transmitted Tire Reaction Forces, Mark T.J. Lin, Periklis Papadopoulos

Faculty Research, Scholarly, and Creative Activity

Often in Computational Fluid Dynamics integral forces and restoring moments are calculated, but the location where they should be applied may not always be clear. This is because the location is not intuitive: it is dependent on the vehicle’s velocity and its orientation (e.g. sideslip angle). A technique has been developed to translate the aerodynamic forces to the reaction forces on the vehicle’s tires. In this study, CFD simulation is performed with a 7.5° yaw to look at the effect of cornering. To understand aerodynamic effect on vehicle dynamics one must know the location at which this force is applied. …

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Multiple Sediment Incorporation Events In A Continental Magmatic Arc: Insight From The Metasedimentary Rocks Of The Northern North Cascades, Washington (Usa), Ann E.H. Hanson, Stacia M. Gordon, Kyle T. Ashley, Robert B. Miller, Elizabeth Langdon-Lassagne Jan 2022

Multiple Sediment Incorporation Events In A Continental Magmatic Arc: Insight From The Metasedimentary Rocks Of The Northern North Cascades, Washington (Usa), Ann E.H. Hanson, Stacia M. Gordon, Kyle T. Ashley, Robert B. Miller, Elizabeth Langdon-Lassagne

Faculty Research, Scholarly, and Creative Activity

The rheology and composition of arc crust and the overall evolution of continental magmatic arcs can be affected by sediment incorporation events. The exhumed Cretaceous–Eocene North Cascades arc exposes abundant meta­ sedimentary rocks that were incorporated into the arc during multiple events. This study uses field relationships, detrital zircon geochronology, bulk rock geo­ chemistry, geothermometry, and quartz­in­garnet geobarometry to distinguish approximate contacts and emplacement depths for different metasedimentary units to better understand their protolith incorporation history and impact on the arc. The Skagit Gneiss Complex is one of the main deep crustal units of the North Cascades arc. It includes …

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An Overview Of Carbon Footprint Mitigation Strategies. Machine Learning For Societal Improvement, Modernization, And Progress, Vishnu S. Pendyala, Saritha Podali Jan 2022

An Overview Of Carbon Footprint Mitigation Strategies. Machine Learning For Societal Improvement, Modernization, And Progress, Vishnu S. Pendyala, Saritha Podali

Faculty Research, Scholarly, and Creative Activity

Among the most pressing issues in the world today is the impact of globalization and energy consumption on the environment. Despite the growing regulatory framework to prevent ecological degradation, sustainability continues to be a problem. Machine learning can help with the transition toward a net-zero carbon society. Substantial work has been done in this direction. Changing electrical systems, transportation, buildings, industry, and land use are all necessary to reduce greenhouse gas emissions. Considering the carbon footprint aspect of sustainability, this chapter provides a detailed overview of how machine learning can be applied to forge a path to ecological sustainability in …

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Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park Jan 2022

Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Deep learning-based intrusion detection systems have advanced due to their technological innovations such as high accuracy, automation, and scalability to develop an effective network intrusion detection system (NIDS). However, most of the previous research has focused on model generation through intensive analysis of feature engineering instead of considering real environments. They have limitations to applying the previous methods for a real network environment to detect real-time network attacks. In this paper, we propose a new flexible and robust NIDS based on Recurrent Neural Network (RNN) with a multi-classifier to generate a detection model in real time. The proposed system adaptively …

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Spartan Face Mask Detection And Facial Recognition System, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, Jerry Gao Jan 2022

Spartan Face Mask Detection And Facial Recognition System, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, Jerry Gao

Faculty Research, Scholarly, and Creative Activity

According to the World Health Organization (WHO), wearing a face mask is one of the most effective protections from airborne infectious diseases such as COVID-19. Since the spread of COVID-19, infected countries have been enforcing strict mask regulation for indoor businesses and public spaces. While wearing a mask is a requirement, the position and type of the mask should also be considered in order to increase the effectiveness of face masks, especially at specific public locations. However, this makes it difficult for conventional facial recognition technology to identify individuals for security checks. To solve this problem, the Spartan Face Detection …

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