Digital Commons Network^™

On Measuring The Degree Of Resource Isolation In Elastic Network Slicing, Nitin Datta Movva

Master's Projects

With the growing popularity of 5G networks and their vast use cases, users must be provided with the services they request. Network slicing is a technique for establishing numerous distinct logical and virtualized networks over a shared multi-domain infrastructure. In particular, the emerging elastic slicing, which allows users to scale up or down the reserved amount of resources during the slice life cycle, is a promising technique to accommodate diverse network services more affordably. However, users may sometimes need more resources, which is impossible to provide due to the abundance of users and lack of additional resources. To our knowledge, …

Graphical User Interface For Evidential Reasoning Models, Rohin Gopalakrishnan

Master's Projects

The Capri system is an evidential reasoning system based on the belief function calculus to support automated reasoning and decision making in uncertain environments. Example domains of application include, medical diagnosis, as well as identifying biological biomarkers. The purpose of this project is to build a Python web-based and app-based Graphical User Interface (GUI), called PyGrapher, that facilitates building graphical evidential reasoning models. The graphical models built using PyGrapher will then be converted to a form that is suitable for input to the Capri system. The PyGrapher system provides an intuitive means to build and manipulate evidential reasoning models as …

Archeota Fall/Winter 2023, Amanda Leung, Benja Thompson, Katrina Williams, Amelia Smith, Lawrence Lorraine Mullen

Archeota

Archeota is a platform for SJSU iSchool students to contribute to the archival conversation. It is written BY students, FOR students. It provides substantive content on archival concerns and issues and promotes professional development in the field of archival studies. Archeota upholds the core values of the archival profession.

Contents:

The Southwark Archives: Stories of a London Borough and its People

by Amanda Leung

Chains of Fire: Building a Queer Archive in Mill Valley, CA

By Benja Thompson

The Fabric of a Community: How Events Connect Individuals to Institutions

By Katrina Williams

Farewell to Our Winter 2023 Graduates: Interviews With …

Job Tailored Resume Content Generation, Sumedh Kale

Master's Projects

Generally candidates apply to multiple jobs with a single resume and do not tend to customize their resume to match the job description. This hampers their chances of getting a resume shortlisted for the job. The project aims to help such candidates build job tailored resumes that help them create a customized and targeted resume for a specific job or industry. The tool specifically targets candidates’ employment history, for resume content generation. We then use natural language processing

(NLP) techniques to extract and organize this data into a structured format for the dataset. We experiment with multiple variations of the …

Spartanscript: New Language Design For Smart Contracts, Ajinkya Lakade

Master's Projects

Smart contracts have become a crucial element for developing decentralized applications on blockchain, resulting in numerous innovative projects on blockchain networks. Ethereum has played a significant role in this space by providing a high-performance Ethereum virtual machine, enabling the creation of several high- level programming languages that can run on the Ethereum blockchain. Despite its usefulness, the Ethereum Virtual Machine has been prone to security vulnerabilities that can result in developers succumbing to common pitfalls which are otherwise safeguarded by modern virtual machines used in programming languages. The project aims to introduce a new interpreted scripting programming language that closely …

Base Station Load Prediction In 5g-V2x Handover, Madhujita Ranjit Ambaskar

Master's Projects

5G V2X networks transmit large amounts of data with low latency, allowing for real-time communication between vehicles and other infrastructure. In 5G V2X networks, handover is a process that allows a connected vehicle to transfer its con- nection from one base station to another as it moves through the network coverage area. Handover is critical to maintaining the quality of service (QoS) and ensuring uninterrupted communication. The base station load is a critical factor in ensuring reliable and efficient 5G V2X connectivity. Prediction of traffic load on base stations ensure resource optimization and smooth connectivity during handovers. This research predicts …

Yelp Restaurant Popularity Score Calculator, Sneh Bindesh Chitalia

Master's Projects

Yelp is a popular social media platform that has gained much traction over the last few years. The critical feature of Yelp is it has information about any small or large-scale business, as well as reviews received from customers. The reviews have both a 1 to 5 star rating, as well as text. For a particular business, any user can view the reviews, but the stars are what most users check because it is an easy and fast way to decide. Therefore, the star rating is a good metric to measure a particular business’s value. However, there are other attributes …

Ml-Based User Authentication Through Mouse Dynamics, Sai Kiran Davuluri

Master's Projects

Increasing reliance on digital services and the limitations of traditional authentication methods have necessitated the development of more advanced and secure user authentication methods. For user authentication and intrusion detection, mouse dynamics, a form of behavioral biometrics, offers a promising and non-invasive method. This paper presents a comprehensive study on ML-Based User Authentication Through Mouse Dynamics.

This project proposes a novel framework integrating sophisticated techniques such as embeddings extraction using Transformer models with cutting-edge machine learning algorithms such as Recurrent Neural Networks (RNN). The project aims to accurately identify users based on their distinct mouse behavior and detect unauthorized access …

Modeling Sequencing Artifacts In Artificial Low Frequency Cancer Data, Hannele Padre

Master's Projects

The rapid advancement in technology for next-generation sequencing (NGS) continues to make NGS more affordable, and in turn, there is a high influx of sequencing data. While NGS is relatively fast and efficient compared to previous sequencing technologies, there are a multitude of steps in the NGS workflow in which sequencing errors can be introduced. Such sequencing errors are known as artifacts, and if not careful, they can be mistaken for true variants. It's especially important to distinguish artifacts in cancer biopsies, specifically liquid biopsies, a noninvasive method for sample collection. Somatic mutations occur at low frequencies, and a liquid …

Efficacy Of Gabapentin Versus Benzodiazepines In The Management Of Alcohol Withdrawal Syndrome, Douglas R. Fredona

Master's Projects

Alcohol abuse, complicated by a dependency relationship, is the third leading modifiable cause of death in the United States. In patients with chronic alcohol use disorder who experience a sudden cessation or significant decrease in alcohol consumption, half will experience symptoms of alcohol withdrawal syndrome. Benzodiazepines are the typical first line treatment for alcohol withdrawal. However, benzodiazepines carry with them significant risks and side effects. As a result, ongoing research has taken place to find either an alternative treatment or a method of reducing total benzodiazepine dosage during treatment. Gabapentin is a medication that is primarily used for seizure control …

The Impact Of Utilizing The Eat, Sleep, Console Model On Pharmacologic Interventions And Length Of Stay, Kareena Parks

Master's Projects

Purpose: This systematic review seeks to explore whether utilizing Eat, Sleep, Console (ESC) over the Finnegan Neonatal Abstinence Scale (FNASS) in the neonatal abstinence syndrome (NAS) population decreases length of stay or pharmacological interventions.
Method: Systematic literature review utilizing CINAHL, PubMed and Google Scholar databases.
Results: Utilizing Eat Sleep Console, over FNASS decreased length of stay and pharmacologic intervention.
Conclusions: There is compelling research suggesting a change in NAS treatment from FNASS to ESC with a decrease in length of stay and pharmacologic intervention. However, there is an opportunity for further studies providing higher levels of evidence as the current …

The Effects Of Nursing Bedside Shift Report On Patient Safety And Satisfaction: A Systematic Review Of The Literature, Alyssa Wong

Master's Projects

Introduction: Nursing bedside shift report is a recommended strategy to promote the effective exchange of accurate patient information during the handoff process with the goal of decreasing communication errors and adverse patient events. However, adopting this handoff method into nursing practice has been challenging in the clinical setting. This systematic review aims to understand the rationale behind nursing bedside handoff by identifying the advantages and barriers to implementation and exploring how this affects patient safety and experience.
Methods: A systematic review was conducted by searching through electronic databases and Google Scholar to identify English-language peer-reviewed journal articles published between 2012 …

Identifying Potential Alzheimer’S Disease Biomarkers Beyond Amyloid-Beta And Tau, Frank Cai

Master's Projects

Alzheimer's Disease (AD) and other forms of Mild Cognitive Impairment (MCI) affect millions of people around the world. The buildup of Amyloid-Beta (Aβ) and Tau proteins in the brain produced by amyloid precursor protein (APP) has been identified as an important cofactor in the onset and progression of AD. However, although patients diagnosed with AD exhibit Aβ and Tau buildup, about 40% of the subjects with Aβ and Tau buildup are not diagnosed with AD. In this project, we hypothesize the involvement of other epigenetic interactions between APP and related genes in addition to the buildup of Aβ and Tau …

Efficient Video Qoe Prediction In Intelligent O-Rans, Aditya Kulkarni

Master's Projects

Open Radio Access Network (O-RAN) is a platform developed by a collaboration between wireless operators, infrastructure vendors, and service providers for deploying mobile fronthaul and midhaul networks, built entirely on cloud-native principles. The vision of O-RAN lies in the virtualization of traditional wireless infrastructure components, like Central Units (CU), Radio Units (RU), and Distributed Units (DU). O-RAN decouples the above-mentioned wireless infrastructure components into opensource elements, operating consistently with other elements of different vendors in the network. Quality of Experience (QoE) deals with a user’s subjective measure of satisfaction. RAN Intelligent Controller (RIC) in O-RAN provides flexibility to intelligently program …

Enhancing Driver Distraction Detection Through The Synergy Of Deep And Traditional Machine Learning, Gowtham Chandrasekaran

Master's Projects

Distracted driving is a major contributor to motor vehicle accidents, causing injury and loss of life. It is one of the major factors that affect the overall driving behavior of a person. Insurance companies take into consideration factors like gender, age, etc. to set insurance premiums for their customers. Today, machine learning and artificial intelligence can eradicate this bias. A machine learning model can analyze driving behavior, such as the frequency and severity of accidents, the speed at which they drive, and their habits such as distracted driving. Based on this information, the model can then determine the risk of …

Enhancing The Queueing Process For Yioop's Scheduler, Gargi Sheguri

Master's Projects

Indexing in search engines is the process of storing information related to crawled pages to facilitate searches. A crucial determinant of the success of a search engine is the efficiency of the indexing process utilized, which greatly affects both the speed and relevancy of search results. Yioop is an open-source web search engine that employs an inverted index strategy, wherein each term is mapped to a list of the documents it appeared in while crawling.

The primary aim of this project is to better the indexing system used by Yioop, and thus improve the quality of the Search Engine Results …

Temporal Dilation In Video Resnet For Sign Language Translation, Xiaoqian Yang

Master's Projects

Sign languages, vital for communication among the deaf and hard-of-hearing (DHH) people, face a significant linguistic diversity challenge with over 200 distinct sign languages worldwide. Bridging this communication gap is a priority. Traditional tools like interpreters and costly translation devices have limitations. This project aims to use deep learning techniques to develop a model capable of recognizing sign language from short videos. Our model not only recognizes the sign from a single video clip, but is also capable of making prediction of consecutive pairs of signs. To achieve zero-short gesture sequence recognition, we propose a novel temporal dilation strategy, converting …

Estimating Air Pollution Levels Using Machine Learning, Srujay Rao Devaraneni

Master's Projects

Air pollution has emerged as a substantial concern, especially in developing countries worldwide. An important aspect of this issue is the presence of PM2.5. Air pollutants with a diameter of 2.5 or less micrometers are known as PM2.5. Due to their size, these particles are a serious health risk and can quickly infiltrate the lungs, leading to a variety of health problems. Due to growing concerns about air pollution, technology like automatic air quality measurement can offer beneficial assistance for both personal and business decisions. This research suggests an ensemble machine learning model that can efficiently replace the standard air …

Xai-Driven Cnn For Diabetic Retinopathy Detection, Vikas Shenoy Pete

Master's Projects

Diabetes, a chronic metabolic disorder, poses a significant health threat with potentially severe consequences, including diabetic retinopathy, a leading cause of blindness. In this project, we tackle this threat by developing a Convolutional Neural Network (CNN) to support the diagnosis based on eye images. The aim is early detection and intervention to mitigate the effects of diabetes on eye health. To enhance transparency and interpretability, we incorporate explainable AI techniques. This research not only contributes to the early diagnosis of diabetic eye disease but also advances our understanding of how deep learning models arrive at their decisions, fostering trust and …

Web Traffic Time Series Forecasting, Summanth Redde Mulkkalla

Master's Projects

Online web traffic forecasting is one of the most crucial elements of maintaining and improving websites and digital platforms. Traffic patterns usually predict future online traffic, including page views, unique visitors, session duration, and bounce rates. However, it is challenging to forecast non-stationary online web traffic, particularly when the data has spikes or irregular patterns. This non-stationary property demands a more advanced forecasting technique. In this study, we provide a neural networkbased method, Spiking Neural Networks (SNNs), for dealing with the data spikes and irregular patterns in non-stationary data. In our study, we compared the forecasting results of SNNs with …

Staff Training Indices For Effective Library Services In Donald E.U. Ekong Library, University Of Port Harcourt, Rivers State, Nigeria., Nkiruka Blessing Wali, Jeremiah Emeka Ugwulebo

Library Philosophy and Practice (e-journal)

The study was designed to examine the staff training indices for effective library services in Donald E. U. Ekong Library, University of Port Harcourt, Rivers State, Nigeria. The indices in the study relates to the challenges and strategies to enhance staff training in the library. The study was guided by three objectives and research questions respectively. Descriptive survey research design was adopted for the study. The population for this study was 104 staff comprising both professional and para-professional staff of the library. Data was collected using questionnaire and analysed using mean scores. Findings of the study revealed that key staff …

Reread Strategy For The Inclusion Of Children With Mild Intellectual Disorder In Qualitative Education In Nigeria, Monisola Adebanke Osoba, Kolawole Akinjide Aramide Phd, Adeola Esther Olutoki

Library Philosophy and Practice (e-journal)

Developmental goals aiming at inclusive education for all category of children irrespective of their disability is still at variance with the present situation of children with intellectual disorder who presents a deficit in intellectual functioning and adaptive behaviour. This is due to low intelligence quotient score, therefore, ensuring qualitative education for this category of children is still a herculean task in Nigeria. Such children do not grasp at the same pace as the regular children, because they have difficulty in abstract thinking and problem solving.

The conventional educational system is built on skills such as comprehension, memory, abstract thinking and …

World Linking Identifiers For Authority And Bibliographic Records, Sukumar Mandal

Library Philosophy and Practice (e-journal)

The semantic web environment's world connecting identifiers are critical components. Linked open data is based on the URI and URL of multiple digital library repositories. The article discusses how to integrate ILS-OPAC using open source tools and how to search for linkage identifiers in ILS-OPAC. Authority and bibliographic linking are enabled using MarcEdit's Bibframe-based structure, linking IDs, and the SPARQL browser. It is simple to transfer linked data from library MARC records to IDs. Apart from this, identifiers have been linked using MARC 21 tags and subfield components. It will examine the library's OPAC's automated search capabilities for topic authorities. …

Maximizing Technology Acceptance Model In Accessing The Attitude Of Rural Farmers Using Ict Tools In Farming To Enhance Productivity, Francis Yao Anyan Dr., Michael Oppong Mr., Stephanie O. Ansah Mrs., Millicent Yengkangyi Ms., Akosua Boatemaa Adarkwa Mrs

Library Philosophy and Practice (e-journal)

The study was conducted using a multi-stage sampling technique involving simple random sampling, a probability sampling method, purposive sampling, and snowball sampling, which are non-probability methods. Two regions, namely, the Greater Accra and Eastern were purposively selected for the study. In the Greater Accra Region, Ada East District was selected while in the Eastern Region Asuogyaman District. In Greater Accra, the study was conducted in six farming villages namely: Big Ada, Dogo, Kasseh, Addokope, Korlekope, and Bedeku. In Eastern regions, the study was conducted in Asogyaman, where Tortibo, Sappor, Yenease, Adina Donor, and Ankyease. A snowball strategy was relied on …

Dynamics Of Organisational Politics And Library Administration On The Motivation And Job Performance Of Library Staff, Omobolade Opeyemi Adeagbo Dr., Iwok Nnah Shabi Dr., Femi Zacch Oguntuase Dr.

Library Philosophy and Practice (e-journal)

Organizational politics is present in every secular establishment including the library with its attendant pros and cons. The paper aims to describe the observed interplay between organizational politics, motivation, and job performance of academic library staff to achieve organizational goals and promote workplace peace and harmony. The study employed a qualitative approach based on personal observation by the researchers and interviews of library managers conveniently selected from four academic libraries in Nigeria; two from the south–south and two from the south–west geopolitical zones. The findings showed that organizational politics can negatively influence library staff's motivation and job performance and lead …

E-Learning Advancement In Universities: Expectations Of Lis Students In Bangladesh, Wares-Ul Matin, Khairun Nesa Poly, Md. Samin Yasar

Library Philosophy and Practice (e-journal)

The study explores the ICT usage and computer skills of Library and Information Science (LIS) students in the context of the COVID-19 pandemic. The main objective of the study is to assess the potentials and challenges faced by LIS students in e-learning. The researchers used survey method with a structured questionnaire, involving 209 participants from two leading public universities (University of Dhaka (DU) and Noakhali Science and Technology University (NSTU) in Bangladesh. The collected data underwent rigorous quantitative analysis. Results showed that the majority of LIS students had been using computers for one to three years, with most possessing intermediate …

Library Website As An Indicator Of Academic Excellence: A Web Analysis Of The Leading Iits In India, Abhishek Rai, Manendra Kumar Singh, Anudha Lepcha

Library Philosophy and Practice (e-journal)

This study aims to understand the services and web-based library resources of Indian Institutes of Technology (IIT) libraries. Each library included in the study has a specific webpage and provides standard library information. The content characteristics of the websites of the top five Indian Institutes of Technology (IIT) libraries, according to the NIRF ranking 2023, are assessed in this study. We create a systematic checklist to achieve the study's goals, utilizing the availability of literature. The study focuses primarily on the webpages of the selected IIT libraries, examining aspects such as webpage framework, style, layout, library services, and content. It …

Influence Of Prescribed Burning On Coast Redwood (Sequoia Sempervirens) Forest Wildfire Resistance, Resilience, And Risk Of Repeated Fire, Sky B. Biblin

Master's Theses

Land managers need tools to mitigate wildfire proliferation in the western United States. Prescribed burning may be an effective tool to reduce wildfire severity and promote healthy landscapes. In 2020, a large-scale wildfire provided a rare opportunity to compare early postfire data between areas with and without a history of prescribed burning. Field data were collected approximately one year after a wildfire in fifty 20-meter plots from sites treated with prescribed fire in either 1999, 2007, or 2011 and fifty from sites without a history of prescribed fire. The influence of prescribed burning on forest resistance, resilience, and risk of …

Validation And Reliability Of A Questionnaire That Measures Food Waste Knowledge, Attitudes, And Motivations Of Adolescents, Joanna Fung

Master's Theses

The goal of this thesis was to develop a valid and reliable questionnaire to measure food waste knowledge, attitudes, and motivations of adolescents aged 13 to 17 in the United States (U.S.). This questionnaire was created with the objective to address gaps in adolescent food waste literature and to aid the creation and refinement of targeted food waste programs and policies. Questions were specific to the home, school, and restaurant settings, as well as, behaviors related to discarding food, composting food, and food expiration. Additionally, the questionnaire sought to understand how friendships and familial relationships affect adolescent food waste-related behaviors. …

The U.S. Invasion Of The Dominican Republic: From Cooperation To Conquest, Andrew Defabio

Master's Theses

This paper explores the political and military relationship between the U.S. and the Dominican Republic from the Eisenhower administration to the Johnson administration’s invasion in 1965. The U.S. intervention in the Dominican Republic was a military operation that had been planned and prepared for by administrations prior and not simply a reactive decision to prevent a Communist takeover. Analysis of multiple administrations places the invasion of the Dominican Republic in a larger context of U.S. – Dominican relations. The U.S.’s desire to dominate military and political aspects of the Dominican Republic is consistent with U.S. Cold War Latin American policy.