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Accident Prediction On E-Bikes Using Computer Vision, Rohith Puvvala Subramanyam Jan 2023

Accident Prediction On E-Bikes Using Computer Vision, Rohith Puvvala Subramanyam

Master's Theses

Micro Mobility refers to small, confined pace range, and lightweight modes oftransportation, which include e-Bikes and e-Scooters. Micro Mobility riders are prone to harm and deadly injuries on city streets. Statistics show that on average 27 out of 82 (33%) humans, in the United States get injured every day in e-motorcycle injuries, which is rapidly increasing as compared to previous years. The current accident prediction strategies have been rather technically complicated to be incorporated onto micromobility vehicles which are lighter in weight and smaller in size. Current strategies bring key challenges to light. First, as micro-mobility vehicles are small and …

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An Interpretative Phenomenological Analysis Of Female Olympic Athletes’ Experiences With Social Media, Mercedez M. Sanchez Jan 2023

An Interpretative Phenomenological Analysis Of Female Olympic Athletes’ Experiences With Social Media, Mercedez M. Sanchez

Master's Theses

Social media is prevalent in athletes’ lives and sport today. Sport psychology scholars have conducted numerous research studies on the effects of social media in athletes, yet not specifically athletes who have participated in the Olympic Games. Less is known about how Olympic athletes perceive, interpret, and manage both positive and negative social media effects. It is essential that those involved in athletics are aware of how the highest-level athletes experience various forms of public feedback on social media, and how they can manage the effects of this feedback. The purpose of this study was to qualitatively examine the experiences …

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Spatiotemporal Dynamics And Biogeochemical Responses In A Tidally Restricted Moro Cojo Slough, Ryan Chiu Jan 2023

Spatiotemporal Dynamics And Biogeochemical Responses In A Tidally Restricted Moro Cojo Slough, Ryan Chiu

Master's Theses

Four years of observational data for Moro Cojo Slough (MCS), a Mediterranean climate estuary in central California, linked anthropogenic nutrient loading and hydrological modifications to a shift in net ecosystem metabolism (NEM) that differs from the characteristic net heterotrophic behavior of most estuarine systems. A lack of precipitation and limited flushing during the dry seasons, as evidenced from hypersaline waters, contribute to high ecosystem respiration rates that drove NEM to nearly balanced or net autotrophic. During the wet seasons, increased runoff and nutrient loading due to precipitation elevated primary production rates within MCS, characterizing the system as net autotrophic. Box …

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Advertisement Blindness In Social Media Apps, Nora Szladovics Jan 2023

Advertisement Blindness In Social Media Apps, Nora Szladovics

Master's Theses

Advertisement blindness (ad blindness) is a general term that refers to people’s tendency to automatically and unconsciously ignore advertisements. The phenomenon was originally identified in banner ads, then later in text and native ads on websites. Today, social media is an effective tool for advertisers, yet research investigating users’ interaction habits with social media ads in mobile applications (apps) is unexplored. This study expands the ad blindness concept to mobile social media apps, examining its presence and whether target position has an influence. Further, it investigates the relationship between social media use and ad blindness. Employing a novel approach, the …

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Reconstructing Auditory Evoked Cortical Response With Fewer Trials, Zoey Y. Zhang Jan 2023

Reconstructing Auditory Evoked Cortical Response With Fewer Trials, Zoey Y. Zhang

Master's Theses

Auditory evoked fields (AEF) paradigm is a common research tool to study human auditory responses by using Magnetoencephalography (MEG), a neuroimaging tool. AEF paradigm requires repetition over many trials to achieve adequate signal-to-noise ratio (SNR), but Autistic children and some other populations cannot tolerate prolonged exam time due to various reasons. To address these challenges, this project uses a novel machine learning algorithm, Champagne with baseline noise learning, to reconstruct AEF data with fewer trials (80%, 60%, 40%, 20%) but produce the same results as using all AEF trials (100%). The results show that this novel machine learning algorithm can …

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Exploring The Benefits Of Library Consortium: The Information Resource Sharing., Muhammad Bala Kasim, Fati Abba, Hajara Jibril, Yahaya Abdullahi Isah, Aliyu Muhammad Babadoko Jan 2023

Exploring The Benefits Of Library Consortium: The Information Resource Sharing., Muhammad Bala Kasim, Fati Abba, Hajara Jibril, Yahaya Abdullahi Isah, Aliyu Muhammad Babadoko

Library Philosophy and Practice (e-journal)

This paper examines the cardinal benefits of library consortium which is the resource sharing. Resource sharing aims at maximizing collection and services of libraries and information centres at minimum cost. Various sources of information (primary and secondary literature) were perused to view the essentiality of resource sharing in carrying out effective and efficient library and information services to users. The paper also highlighted the requirements needed for successful resource sharing practices among libraries. The significance/benefits of resource sharing as it relates to economic, developmental, academic/research as well as social life of librarians and library personnel were clearly stated. An ideal …

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Conceptualizing Socio-Emotional Disablism: A Duoethnography Of Crohn’S Disease And Ocd During Covid-19, Kristen L. Cole, Brandi Lawless Jan 2023

Conceptualizing Socio-Emotional Disablism: A Duoethnography Of Crohn’S Disease And Ocd During Covid-19, Kristen L. Cole, Brandi Lawless

Faculty Research, Scholarly, and Creative Activity

We utilize duoethnography to help readers better understand the constitutive nature of disability in the contexts of chronic illness and mental health. By doing so, we articulate the concept of socio-emotional disablism, which expands structural and psycho-emotional theories of disablism to account for the ways socio-material interactions trigger emotion-work—the communicative labor and fatigue that accompanies negotiating our own emotions as well as the emotions of others in disabling contexts—thus limiting relational and ideological engagement with disability. We conclude by discussing what the concept of socio-emotional disablism teaches us about how to build more inclusive social futures through deeper interpersonal engagement …

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Advancing College Food Security: Priority Research Gaps, Matthew J. Landry, Emily Heying, Zubaida Qamar, Rebecca L. Hagedorn-Hatfield, Mateja R. Savoie-Roskos, Cara L. Cuite, Victoria A. Zigmont, Kendra Oonorasak, Susan Chen Jan 2023

Advancing College Food Security: Priority Research Gaps, Matthew J. Landry, Emily Heying, Zubaida Qamar, Rebecca L. Hagedorn-Hatfield, Mateja R. Savoie-Roskos, Cara L. Cuite, Victoria A. Zigmont, Kendra Oonorasak, Susan Chen

Faculty Research, Scholarly, and Creative Activity

Despite over a decade of both quantitative and qualitative studies, food insecurity among United States college/university students remains a pervasive problem within higher education. The purpose of this perspective piece was to highlight research gaps in the area of college food insecurity and provide rationale for the research community to focus on these gaps going forward. A group of food insecurity researchers from a variety of higher education institutions across the United States identified five thematic areas of research gaps: screening and estimates of food insecurity; longitudinal changes in food insecurity; impact of food insecurity on broader health and academic …

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Effectiveness Of In-Person Versus Online Negotiation Teaching For Practitioners, Patricia Oehlschläger, Michael A. Merz Jan 2023

Effectiveness Of In-Person Versus Online Negotiation Teaching For Practitioners, Patricia Oehlschläger, Michael A. Merz

Faculty Research, Scholarly, and Creative Activity

Most negotiation courses have been taught in person. However, online education has become more prevalent over the past decade due to its flexibility, cost and time efficiency, and new digital technologies designed to compensate for the lack of personal contact. The global pandemic has accelerated this trend, raising the question of whether negotiation courses taught online are as effective as those taught in person. The few studies that have examined the effect of teaching modality on student performance were limited to undergraduate and graduate student samples and the results have been mixed. To contribute to this discussion, we conducted two …

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Maximizing External Action With Information Provision Over Multiple Rounds In Online Social Networks, Masaaki Miyashita, Norihiko Shinomiya, Daisuke Kasamatsu, Genya Ishigaki Jan 2023

Maximizing External Action With Information Provision Over Multiple Rounds In Online Social Networks, Masaaki Miyashita, Norihiko Shinomiya, Daisuke Kasamatsu, Genya Ishigaki

Faculty Research, Scholarly, and Creative Activity

Online social networks have increased their impact on the real world, which motivates information senders to control the propagation process of information to promote particular actions of online users. However, the existing works on information provisioning seem to oversimplify the users? decision-making process that involves information reception, internal actions of social networks, and external actions of social networks. In particular, characterizing the best practices of information provisioning that promotes the users? external actions is a complex task due to the complexity of the propagation process in OSNs, even when the variation of information is limited. Therefore, we propose a new …

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Misinformation Containment Using Nlp And Machine Learning: Why The Problem Is Still Unsolved, Vishnu S. Pendyala Jan 2023

Misinformation Containment Using Nlp And Machine Learning: Why The Problem Is Still Unsolved, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

Despite the increased attention and substantial research into it claiming outstanding successes, the problem of misinformation containment has only been growing in the recent years with not many signs of respite. Misinformation is rapidly changing its latent characteristics and spreading vigorously in a multi-modal fashion, sometimes in a more damaging manner than viruses and other malicious programs on the internet. This chapter examines the existing research in natural language processing and machine learning to stop the spread of misinformation, analyzes why the research has not been practical enough to be incorporated into social media platforms, and provides future research directions. …

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A Preliminary Framework For Managing Sleep Inertia In Occupational Settings, Katya Kovac, Grace E. Vincent, Jessica L. Paterson, Cassie J. Hilditch, Sally A. Ferguson Jan 2023

A Preliminary Framework For Managing Sleep Inertia In Occupational Settings, Katya Kovac, Grace E. Vincent, Jessica L. Paterson, Cassie J. Hilditch, Sally A. Ferguson

Faculty Research, Scholarly, and Creative Activity

Sleep inertia, the temporary period of impairment experienced upon waking, is a safety hazard that has been implicated in serious work-related incidents resulting in injuries as well as the loss of life and assets. As such, sleep inertia warrants formal management in industries where personnel are required to undertake their role soon after waking (e.g. emergency services, engineers, and health care). At present, there is a lack of practical, evidence-based guidance on how sleep inertia could be formally managed at an organizational level. We propose a preliminary framework for managing sleep inertia based on the translation of research findings into …

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Establishing A Framework For The Ethical And Legal Use Of Web Scrapers By Cybercrime And Cybersecurity Researchers: Learnings From A Systematic Review Of Australian Research, Katie Logos, Russell Brewer, Colette Langos, Bryce Westlake Jan 2023

Establishing A Framework For The Ethical And Legal Use Of Web Scrapers By Cybercrime And Cybersecurity Researchers: Learnings From A Systematic Review Of Australian Research, Katie Logos, Russell Brewer, Colette Langos, Bryce Westlake

Faculty Research, Scholarly, and Creative Activity

The Internet has become an increasingly attractive location for collecting data about cyber threats, driven by the abundance of quality data available and accessible online. As such, researchers and practitioners have turned to automated data collection technologies (ADCT), including ‘web crawlers’ and ‘web scrapers’, to study these threats. The rapid proliferation of ADCT has meant directions for their ethical and legal operation have been slow to adapt, with no clear guidelines regulating their use for research. This article identifies the relevant ethical and legal frameworks guiding the deployment of ADCT in Australia for cybersecurity research. This is accomplished through a …

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Fintech Adoption Dynamics In A Pandemic: An Experience From Some Financial Institutions In Nigeria During Covid-19 Using Machine Learning Approach, Onome Christopher Edo, Egbe Etu Etu, Imokhai Tenebe, Oluwarotimi Samuel Oladele, Solomon Edo, Oladapo Ayodeji Diekola, Joshua Emakhu Jan 2023

Fintech Adoption Dynamics In A Pandemic: An Experience From Some Financial Institutions In Nigeria During Covid-19 Using Machine Learning Approach, Onome Christopher Edo, Egbe Etu Etu, Imokhai Tenebe, Oluwarotimi Samuel Oladele, Solomon Edo, Oladapo Ayodeji Diekola, Joshua Emakhu

Faculty Research, Scholarly, and Creative Activity

The novel coronavirus caused a lifestyle shift, and the acceptance of offsite financial transactions is still a case for financial technology (fintech). Mobile financial transactions continue to be at an all-time low, and financial institutions are developing approaches for financial digitalization acceptability. The present study attempts to understand users’ motivations for fintech adoption. The technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTUAT) were utilized to uncover the rationale behind technology adoption. This study explored the drivers inhibiting the adoption of financial technology in Nigeria during the pandemic. A machine learning (ML) approach was …

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Teaching Health Justice And Reimagining Narratives Of Place Through Community-Driven Science Practices, Tammie Visintainer Jan 2023

Teaching Health Justice And Reimagining Narratives Of Place Through Community-Driven Science Practices, Tammie Visintainer

Faculty Research, Scholarly, and Creative Activity

This study explores how a biology teacher from a summer science program engaged high school students of color in a three-week science unit exploring community health at the intersection of history, race, place, and power. The goal of this study is to better understand what community-driven science looks like in a science classroom when a health equity unit is guided by a biology teacher who engages the socio-historical, political, and relational aspects of community structure and agency. Using student and instructor interviews, program observations, and student artifacts, I examine how the instructor's positioning as a Black woman scientist shaped her …

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Tesol Programs In Flux, Priyanvada Abeywickrama, Stefan Frazier, David Malinowski, Scott Phillabaum Jan 2023

Tesol Programs In Flux, Priyanvada Abeywickrama, Stefan Frazier, David Malinowski, Scott Phillabaum

Faculty Research, Scholarly, and Creative Activity

TESOL graduate programs in the U.S. have seen a steady decline in international and domestic student applications over the past several years. Among the possible causes of this decline are economic turmoil, changing immigration policies and politics, and broader social turbulence, issues that were present before the COVID-19 pandemic but which have been exacerbated by its persistence, forever changing education and learning. As we look forward, TESOL graduate programs must rethink, re-envision, and reconsider how they prepare teachers for a changing world. This chapter discusses ways that two well-established graduate TESOL programs have confronted the changes mentioned above, and presents …

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Alzheimer’S Disease (Ad) Knowledge In Korean Americans: Identifying Knowledge Gaps And Misconceptions And Examining Predictors Of Ad Knowledge, Sang E. Lee, Michin Hong, Banghwa L. Casado Jan 2023

Alzheimer’S Disease (Ad) Knowledge In Korean Americans: Identifying Knowledge Gaps And Misconceptions And Examining Predictors Of Ad Knowledge, Sang E. Lee, Michin Hong, Banghwa L. Casado

Faculty Research, Scholarly, and Creative Activity

Objectives: This study examined Alzheimer’s disease (AD) knowledge and its predictors among Korean Americans (KAs). Design: Convenience sampling was used to recruit KAs in the Greater Washington metropolitan area. A total of 268 KAs participated in the study and completed a cross-sectional survey in 2014. Using the Alzheimer’s Disease Knowledge Scale (ADKS), overall and domain knowledge was assessed. Multiple regression analyses were conducted for overall and domain knowledge with predictors including exposure to AD, social engagement, sources and frequency of health-related information, stigmatic beliefs (pity, antipathy, and social distance), English proficiency, and education. Results: KAs reported a 59% accuracy in …

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Algorithms And Their Affordances: How Crowdworkers Manage Algorithmic Scores In Online Labour Markets, Francesca Bellesia, Elisa Mattarelli, Fabiola Bertolotti Jan 2023

Algorithms And Their Affordances: How Crowdworkers Manage Algorithmic Scores In Online Labour Markets, Francesca Bellesia, Elisa Mattarelli, Fabiola Bertolotti

Faculty Research, Scholarly, and Creative Activity

On online labour platforms, algorithmic scores are used as indicators of freelancers' work quality and future performance. Recent studies underscore that, to achieve good scores and secure their presence on platforms, freelancers respond to algorithmic control in different ways. However, we argue, to fully understand how freelancers deal with algorithmic scores, we first need to investigate how they interpret scores and, more specifically, what scores can do for them, i.e., perceived algorithmic affordances and constraints. Our interviews and other qualitative data collected with knowledge intensive gig workers on a major platform allow us to explain how the perceived affordances of …

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Application Of Artificial Intelligence In Detection And Mitigation Of Human Factor Errors In Nuclear Power Plants: A Review, Meenu Sethu, Bhavya Kotla, Darrell Russell, Mahboubeh Madadi, Nesar Ahmed Titu, Jamie Baalis Coble, Ronald L. Boring, Klaus Blache, Vivek Agarwal, Vaibhav Yadav, Anahita Khojandi Jan 2023

Application Of Artificial Intelligence In Detection And Mitigation Of Human Factor Errors In Nuclear Power Plants: A Review, Meenu Sethu, Bhavya Kotla, Darrell Russell, Mahboubeh Madadi, Nesar Ahmed Titu, Jamie Baalis Coble, Ronald L. Boring, Klaus Blache, Vivek Agarwal, Vaibhav Yadav, Anahita Khojandi

Faculty Research, Scholarly, and Creative Activity

Human factors and ergonomics have played an essential role in increasing the safety and performance of operators in the nuclear energy industry. In this critical review, we examine how artificial intelligence (AI) technologies can be leveraged to mitigate human errors, thereby improving the safety and performance of operators in nuclear power plants (NPPs). First, we discuss the various causes of human errors in NPPs. Next, we examine the ways in which AI has been introduced to and incorporated into different types of operator support systems to mitigate these human errors. We specifically examine (1) operator support systems, including decision support …

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Comparing Enacted And Perceived Parental Communication As Predictors Of Adolescents’ Emotion Regulation In Families With Harmful Versus Non-Harmful Parental Alcohol Use, Marie C. Haverfield, Jennifer A. Theiss Jan 2023

Comparing Enacted And Perceived Parental Communication As Predictors Of Adolescents’ Emotion Regulation In Families With Harmful Versus Non-Harmful Parental Alcohol Use, Marie C. Haverfield, Jennifer A. Theiss

Faculty Research, Scholarly, and Creative Activity

Emotion regulation is an important skill that adolescents typically learn through early interactions with their primary caregivers. Associations between parental communication and adolescent emotion regulation are well-documented however, it is unclear whether the parent’s actual communication behavior or adolescents’ perceptions of the parent’s behavior is a more robust predictor of emotion regulation outcomes. This study used Baumrind’s parenting styles typology as a theoretical foundation for examining parents’ enacted responsiveness and control and adolescents’ perceptions of their parent’s responsiveness and control during conversation as competing predictors of adolescents’ self-reported emotion regulation during two parent-child interactions. Sixty parent-adolescent dyads participated in an …

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Racial-Religious Decoupling In The University: Investigating Religious Students’ Perceptions Of Institutional Commitment To Diversity, Saugher Nojan Jan 2023

Racial-Religious Decoupling In The University: Investigating Religious Students’ Perceptions Of Institutional Commitment To Diversity, Saugher Nojan

Faculty Research, Scholarly, and Creative Activity

Muslims face racism based on their racialized religious identities, yet few address their experiences through critical race theory or campus racial climate. This paper addresses how religious students rate institutional commitments to campus diversity when considering racial and religious respect. This study examines undergraduate experience surveys across nine campuses and a Muslim student photovoice project through a mixed-methods design. I argue that racial and religious respect derived from interpersonal, discursive, and material sources influence Muslim students’ perceptions of institutional commitment to diversity. I introduce racial-religious decoupling to refer to how the separation of race and religion as distinct social experiences …

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Reconfigurations In Brain Networks Upon Awakening From Slow Wave Sleep: Interventions And Implications In Neural Communication, Cassie J. Hilditch, Kanika Bansal, Ravi Chachad, Lily R. Wong, Nicholas G. Bathurst, Nathan H. Feick, Amanda Santamaria, Nita L. Shattuck, Javier O. Garcia, Erin E. Flynn-Evans Jan 2023

Reconfigurations In Brain Networks Upon Awakening From Slow Wave Sleep: Interventions And Implications In Neural Communication, Cassie J. Hilditch, Kanika Bansal, Ravi Chachad, Lily R. Wong, Nicholas G. Bathurst, Nathan H. Feick, Amanda Santamaria, Nita L. Shattuck, Javier O. Garcia, Erin E. Flynn-Evans

Faculty Research, Scholarly, and Creative Activity

Sleep inertia is the brief period of impaired alertness and performance experienced immediately after waking. Little is known about the neural mechanisms underlying this phenomenon. A better understanding of the neural processes during sleep inertia may offer insight into the awakening process. We observed brain activity every 15 min for 1 hr following abrupt awakening from slow wave sleep during the biological night. Using 32-channel electroencephalography, a network science approach, and a within-subject design, we evaluated power, clustering coefficient, and path length across frequency bands under both a control and a polychromatic short-wavelength-enriched light intervention condition. We found that under …

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2d-3d Facial Image Analysis For Identification Of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization For Forensics Applications, Gangothri Sanil, Krishna Prakash, Srikanth Prabhu, Vinod C. Nayak, Saptarshi Sengupta Jan 2023

2d-3d Facial Image Analysis For Identification Of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization For Forensics Applications, Gangothri Sanil, Krishna Prakash, Srikanth Prabhu, Vinod C. Nayak, Saptarshi Sengupta

Faculty Research, Scholarly, and Creative Activity

Recognizing a face is a remarkable process that humans naturally use. Computer vision has tried to resemble this ability of human vision as a biometric tool to identify humans. Commercial and law enforcement applications are increasingly using face recognition technology to identify people. Currently, it is one of the most sought-after detection methods used in forensics for criminal identification purposes. Owing to similarities in the appearance of certain faces, especially in criminal cases, this problem poses a great challenge in forensic investigation and detection. The novelty of this work lies in the development of a framework for face recognition using …

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What Makes Consumers Adopt A Wearable Fitness Device? The Roles Of Cognitive, Affective, And Motivational Factors, Jing Zhang, En Mao Jan 2023

What Makes Consumers Adopt A Wearable Fitness Device? The Roles Of Cognitive, Affective, And Motivational Factors, Jing Zhang, En Mao

Faculty Research, Scholarly, and Creative Activity

Wearable fitness devices are equipped with internet connectivity and capable of tracking, storing, and transmitting health data. A research model is proposed and tested, which shows how cognitive, affective, social, and motivational consumer factors affect the intention to adopt wearables, respectively. The antecedents of these factors are also studied, including perceived usefulness, ease of use, and effectiveness for cognitive factors; positive and negative feelings for affective factors; perceived number of users, number of peers, and social images for social factors. An online survey was conducted among 297 non-wearable-users in the U.S. to collect data. Structural equation modeling was used to …

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Distributed Cooperative Kalman Filter Constrained By Advection–Diffusion Equation For Mobile Sensor Networks, Ziqiao Zhang, Scott T. Mayberry, Wencen Wu, Fumin Zhang Jan 2023

Distributed Cooperative Kalman Filter Constrained By Advection–Diffusion Equation For Mobile Sensor Networks, Ziqiao Zhang, Scott T. Mayberry, Wencen Wu, Fumin Zhang

Faculty Research, Scholarly, and Creative Activity

In this paper, a distributed cooperative filtering strategy for state estimation has been developed for mobile sensor networks in a spatial–temporal varying field modeled by the advection–diffusion equation. Sensors are organized into distributed cells that resemble a mesh grid covering a spatial area, and estimation of the field value and gradient information at each cell center is obtained by running a constrained cooperative Kalman filter while incorporating the sensor measurements and information from neighboring cells. Within each cell, the finite volume method is applied to discretize and approximate the advection–diffusion equation. These approximations build the weakly coupled relationships between neighboring …

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Edible Learning: School Food Service Programming And Experiential Education That Promote Sustainable Agriculture And Better Nutritional Health, Kristina Grasty Jan 2023

Edible Learning: School Food Service Programming And Experiential Education That Promote Sustainable Agriculture And Better Nutritional Health, Kristina Grasty

Dissertations

The typical American diet, which involves the consumption of processed foods high in saturated fats, sodium, and refined sugar, is known to be unhealthy. Millions of students in the U.S. suffer from symptoms of malnutrition, making them susceptible to compromising health conditions such as type 2 diabetes that may persist into adulthood. Well-designed school nutrition programs and action learning that promotes sustainable agriculture have the potential to enhance students’ nutritional well-being as well as their understanding of the ecological systems needed to support good nutrition. This dissertation uses documentary film as an exploratory, qualitative research method to investigate approaches used …

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Hate Speech Detection In Hindi, Pranjali Prakash Bansod Jan 2023

Hate Speech Detection In Hindi, Pranjali Prakash Bansod

Master's Projects

Social media is a great place to share one’s thoughts and to express oneself. Very often the same social media platforms become a means for spewing hatred.The large amount of data being shared on these platforms make it difficult to moderate the content shared by users. In a diverse country like India hate is present on social media in all regional languages, making it even more difficult to detect hate because of a lack of enough data to train deep/ machine learning models to make them understand regional languages.This work is our attempt at tackling hate speech in Hindi. We …

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Proof-Of-Stake For Spartangold, Nimesh Ashok Doolani Jan 2023

Proof-Of-Stake For Spartangold, Nimesh Ashok Doolani

Master's Projects

Consensus protocols are critical for any blockchain technology, and Proof-of- Stake (PoS) protocols have gained popularity due to their advantages over Proof-of- Work (PoW) protocols in terms of scalability and efficiency. However, existing PoS mechanisms, such as delegated and bonded PoS, suffer from security and usability issues. Pure PoS (PPoS) protocols provide a stronger decentralization and offer a potential solution to these problems. Algorand, a well-known cryptocurrency, employs a PPoS protocol that utilizes a new Byzantine Agreement (BA) mechanism for consensus and Verifiable Random Functions (VRFs) to securely scale the protocol to accommodate many participants, making it possible to handle …

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The Bias Report: An Automated News Aggregator For Political Bias Classification And News Summarization, Anant Joshi Jan 2023

The Bias Report: An Automated News Aggregator For Political Bias Classification And News Summarization, Anant Joshi

Master's Projects

Political polarization is on the rise in the US, driven in large part by divisive news that goes viral on the Internet. Specifically, many media outlets use slanted language and publish misinformation in order to drive user traffic and engagement. Almost 80% of US citizens get their news from online sources, but there is a lack of public safeguards against biased news. A large amount of news is published online every day by media organizations, and it is impossible to manually analyze this amount of data. There is a clear need for automated, public-facing solutions in the current political climate …

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High Performance Distributed File System Based On Blockchain, Ajinkya Rajguru Jan 2023

High Performance Distributed File System Based On Blockchain, Ajinkya Rajguru

Master's Projects

Distributed filesystem architectures use commodity hardware to store data on a large scale with maximum consistency and availability. Blockchain makes it possible to store information that can never be tampered with and incentivizes a traditional decentralized storage system. This project aimed to implement a decentralized filesystem that leverages the blockchain to keep a record of all the transactions on it. A conventional filesystem viz. GFS [1] or HDFS [2] uses designated servers owned by their organization to store the data and are governed by a master service. This project aimed at removing a single point of failure and makes use …

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