Digital Commons Network^™

5g Mobility Management Using Satellites In Leo (Low Earth Orbit), Peter Knight

Master's Projects

As technology moves forward we find ourselves demanding faster and better quality internet. Towards that end, 5G was developed. While cell towers are already being built with 5G in mind, some of the built-in limitations of 5G mean that we may be seeing satellites with it in the near future. This development would require a drastic change in the current algorithms used for handovers. These algorithms fail to take into account the high relative velocity of the satellites and result in many unnecessary handovers which increases the likelihood of a dropped connection. This paper will propose and evaluate the effectiveness …

Abstractive Text Summarization For Tweets, Siyu Chen

Master's Projects

In the high-tech age, we can access a vast number of articles, information, news, and opinion online. The wealth of information allows us to learn about the topics we are interested in more easily and cheaply, but it also requires us to spend an enormous amount of time reading online. Text summarization can help us save a lot of reading time so that we can know more information in a shorter period. The primary goal of text summarization is to shorten the text while including as much vital information as possible in the original text so fewer people use this …

A Study On Human Face Expressions Using Convolutional Neural Networks And Generative Adversarial Networks, Sriramm Muthyala Sudhakar

Master's Projects

Human beings express themselves via words, signs, gestures, and facial emotions. Previous research using pre-trained convolutional models had been done by freezing the entire network and running the models without the use of any image processing techniques. In this research, we attempt to enhance the accuracy of many deep CNN architectures like ResNet and Senet, using a variety of different image processing techniques like Image Data Generator, Histogram Equalization, and UnSharpMask. We used FER 2013, which is a dataset containing multiple classes of images. While working on these models, we decided to take things to the next level, and we …

Covid-19 In The Bay Area: The Impact Of A Pandemic On Different Demographics In Selected Counties From 2020 - 2021, Maria Del Rosario Rodriguez Lomeli

Master's Projects

The world experienced a novel coronavirus disease outbreak in Wuhan, China in December of 2019 (Dhillon et al., 2020). Within months it spread worldwide, becoming a pandemic known as the novel coronavirus SARS-CoV2 or COVID-19 (Hunter, 2020). COVID- 19 continued to spread, with public health officials worldwide urging countries to enact stay-at-home orders that could decrease the fast spread of the virus. The Chinese government's official report states that the virus originated in the Huanan Seafood Market located in Wuhan in October of 2019 (Dhillon et al., 2020). The World Health Organization (WHO) was alerted of the virus within a …

Graph Neural Networks For Malware Classification, Vrinda Malhotra

Master's Projects

Malware is a growing threat to the digital world. The first step to managing this threat is malware detection and classification. While traditional techniques rely on static or dynamic analysis of malware, the generation of these features requires expert knowledge. Function call graphs (FCGs) consist of program functions as their nodes and their interprocedural calls as their edges, providing a wealth of knowledge that can be utilized to classify malware without feature extraction that requires experts. This project treats malware classification as a graph classification problem, setting node features using the Local Degree Profile (LDP) model and using different graph …

Adversarial Attacks On Android Malware Detection And Classification, Srilekha Nune

Master's Projects

Recent years have seen an increase in sales of intelligent gadgets, particularly those using the Android operating system. This popularity has not gone unnoticed by malware writers. Consequently, many research efforts have been made to develop learning models that can detect Android malware. As a countermeasure, malware writers can consider adversarial attacks that disrupt the training or usage of such learning models. In this paper, we train a wide variety of machine learning models using the KronoDroid Android malware dataset, and we consider adversarial attacks on these models. Specifically, we carefully measure the decline in performance when the feature sets …

Mrna-Sequencing Pipeline And Pathway Analysis To Determine The Effects Of Bisphenol A On Fragile X Syndrome In Drosophila Melanogaster, Rashi Raghulan

Master's Projects

Neurological disorders (NDDs), like Fragile X Syndrome (FXS), are becoming more prevalent. One outstanding question in the field is how genetic risk factors for NDDs, like Fmr1, converge with environmental risk factors like bisphenol A (BPA). Our research compares and contrasts the different molecular impacts of BPA exposure in wild-type and FXS flies using mRNA-sequencing analysis. This analysis identifies the mutation in the Fmr1 gene is shown to have a stronger effect on the Drosophila than the presence of BPA, resulting in significant differential gene expression that perturbed several neurological pathways. Moreover, numerous genes responsible for genetic human diseases have …

The Impact Of Bisphenol A And Its Analogues On Neurodevelopmental Transcriptomes In Drosophila Melanogaster, An Nguyen

Master's Projects

Bisphenol A (BPA) is an endocrine-disrupting compound (EDC) that can act as an agonist or antagonist to interfere with multiple signaling pathways, including neurological pathways. The impact of BPA related to neurodevelopmental disorders (NDDs) is one of the biggest concerns in BPA exposure in humans. Therefore, BPA analogues are used to replace BPA in manufacturing and BPA-free products. However, most BPA analogues, including Bisphenol F (BPF) and Bisphenol S (BPS), act the same way as BPA on estrogen and androgen receptors. RNASequencing (RNA-seq) analysis was used to investigate the impact of BPA, BPF, and BPS on neurodevelopmental transcriptomes in Drosophila …

An Investigation Of Segmental Duplications Across Topologically Associating Domains, Sara Bell

Master's Projects

High-throughput chromosome conformation capture (Hi-C) reveals organization within genomes. Topologically associating domains (TADs) make up one level of organization and are identified by applying algorithms to Hi-C data. TADs have boundaries disrupted by structural variants (SVs), hypothesized to form due to recombination that occurs between segmental duplications (SDs). Little research is available about the effects of SDs at TAD boundaries. This project aimed to understand the distribution of SDs near TADs and determine any overlap between the two features. We analyzed public data and found SDs to have low breakpoint frequency and coverage at TAD boundaries. We then processed a …

Vulnerable Populations And Flooding: A Bay Area County Public Alert And Warning Case Study, Victoria Castro

Master's Projects

Public alert and warning systems are crucial tools that save lives and protect property in times of emergencies. In the past several decades, natural disasters have struck the nation, and effective public alerts and warnings were not disseminated to all impacted populations, calling into question the effectiveness of emergency communication systems (Wimberley, 2012).

As an example, in 2012, when Hurricane Sandy hit the east coast, public alert and warning systems reached those who had access to technological devices. However, emergency managers and alerting authorities faced the challenge of alerting all groups, including the homeless and individuals with access and functional …

Evaluating The Effectiveness Of The Air Force’S Open Topic Sbir And Sttr Process To Engage Small Business To Work On Defense, Bevan Hart

Master's Projects

Has the Air Force’s (AF) use of the “Open Topic” solicitation in the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs increased engagement with non-traditional defense contractors, and is it effective in getting companies on contract that would not otherwise have been likely to contract with the Air Force?

A Process Evaluation Of Intelligence Gathering Using Social Media For Emergency Management Organizations In California, Alan Barner

Master's Projects

When responding to an emergency, correct and timely information is often the difference between a successful response and a potential disaster. The information that emergency managers in California receive from the public often dictates how agencies respond to emergencies. The emergence of social media has presented several benefits to emergency managers regarding intelligence gathering during the emergency response process. Simultaneously, the emergence of social media has raised several concerns for the stakeholders involved. One major issue involves inaccurate information circulating on social media platforms during ongoing disasters. If emergency managers cannot discern incorrect information from correct information, disaster response may …

Would A Regional Fire Emergency Communications Center In Placer County Improve Efficiency For Participating Fire Agencies?, Reginald Williams

Master's Projects

Dispatch centers serve multiple functions within a community, dependent on the resources it controls. Centers operating in PC function as the primary 911 answering point, using “call-takers” and “dispatchers” to triage emergencies and respond the appropriate resources. Call-takers are trained personnel who are hired to answer 911 calls from the community, and input valuable information into a computer-aided dispatch (CAD) system, that geolocates the emergency location and provides historical information of emergencies at a given location. Many call-takers are trained to provide instructions to the caller to ensure that they are 1) out of harm's way and 2) to assist …

Are Santa Clara County Cities Prepared For A Zero-Emission Light Duty Vehicle Future? A Program Evaluation, Benjamin Edelberg

Master's Projects

This research built on the work of Chi-Pei Fang who explored this issue in “Ability of the Bay Area Cities to Accommodate Plug-in Electric Vehicles: A Process Evaluation” (Fang, 2021). Fang recommended that follow-on projects focus on an individual city. This paper moved in that direction, but instead of focusing on a specific city in the California Bay Area, it focused on Santa Clara County (SCC) and the cities within. Additionally, this paper broadened the focus to include all zero-emissions vehicles (ZEVs), a category which not only includes electric vehicles (EVs) but also hydrogen fuel cell electric vehicles (FCEVs).

The Disproportionate Impact Of Covid-19 On The Housing Stability Of Hispanic/Latino Renters In California, Cyndi Valdez

Master's Projects

How and why did the COVID-19 pandemic impact the housing stability of Hispanic/Latino renters in California? How were communities, such as those in Santa Cruz County, affected by Shelter in Place Orders? What measures were taken to help alleviate the financial burdens caused by the pandemic?

City Of Milpitas Trash Capture Device Program: An Evaluation Of System Performance And Compliance With The Municipal Regional Permit, Joseph Aguilera

Master's Projects

Water pollution negatively impacts the environment and human population. The problem persists despite various mitigation efforts, strategies, and the implementation of regulatory requirements. It is estimated that Californians dispose of approximately 40 million tons of consumer items and waste materials annually (California Department of Resource Recycling and Recovery, 2019). As the population increases, it is expected that negative impacts of trash on the environment will be exacerbated. To address this, municipalities in California apply various methods to reduce trash before it enters ocean waters.

The primary vehicle for urban trash pollutants to reach ocean waters is through storm water conveyance …

Whole File Chunk Based Deduplication Using Reinforcement Learning, Xincheng Yuan

Master's Projects

Deduplication is the process of removing replicated data content from storage facilities like online databases, cloud datastore, local file systems, etc., which is commonly performed as part of data preprocessing to eliminate redundant data that requires unnecessary storage spaces and computing power. Deduplication is even more specifically essential for file backup systems since duplicated files will presumably consume more storage space, especially with a short backup period like daily [8]. A common technique in this field involves splitting files into chunks whose hashes can be compared using data structures or techniques like clustering. In this project we explore the possibility …

Poriferal Vision: Deep Transfer Learning-Based Sponge Spicules Identification & Taxonomic Classification, Sudhin Domala

Master's Projects

The phylum Porifera includes the aquatic organisms known as sponges. Sponges are classified into four classes: Calcarea, Hexactinellida, Demospongiae, and Homoscleromorpha. Within Demospongiae and Hexactinellida, sponges’ skeletons are needle-like spicules made of silica. With a wide variety of shapes and sizes, these siliceous spicules’ morphology plays a pivotal role in assessing and understanding sponges' taxonomic diversity and evolution. In marine ecosystems, when sponges die their bodies disintegrate over time, but their spicules remain in the sediments as fossilized records that bear ample taxonomic information to reconstruct the evolution of sponge communities and sponge phylogeny.

Traditional methods of identifying spicules from …

Hidden Markov Models With Momentum, Andrew Miller

Master's Projects

Momentum is a popular technique for improving convergence rates during gradient descent. In this research, we experiment with adding momentum to the Baum-Welch expectation-maximization algorithm for training Hidden Markov Models. We compare discrete Hidden Markov Models trained with and without momentum on English text and malware opcode data. The effectiveness of momentum is determined by measuring the changes in model score and classification accuracy due to momentum. Experiments indicate that adding momentum to Baum-Welch can reduce the number of iterations required for initial convergence during HMM training, particularly in cases where the model is slow to converge. However, momentum does …

Darknet Traffic Classification, Nhien Rust-Nguyen

Master's Projects

The anonymous nature of darknets is commonly exploited for illegal activities. Previous research has employed machine learning and deep learning techniques to automate the detection of darknet traffic to block these criminal activities. This research aims to improve darknet traffic detection by assessing Support Vector Machines (SVM), Random Forest (RF), Convolutional Neural Networks (CNN) and Auxiliary-Classifier Generative Adversarial Networks (AC-GAN) for classification of network traffic and the underlying application types. We find that our RF model outperforms the state-of-the-art machine learning techniques used by prior work with the CIC-Darknet2020 dataset. To evaluate the robustness of our RF classifier, we degrade …

Modeling Sequencing Artifacts For Next Generation Sequencing, Yvonna Leung

Master's Projects

Advancements in Next Generation Sequencing (NGS) have enabled detection of genetic alterations at large scales with high throughputs. NGS offers advantages over the established sequencing method, Sanger sequencing, by processing large sections of the genome simultaneously at a lower cost with higher accuracy. However, recent research has shown that sequencing artifacts are introduced at various steps in the NGS workflow. These artifacts are the result of an accumulation of errors from multiple steps, such as library preparation and downstream processes, and can result in variants being identified that aren’t actually present in the sequenced genome. Therefore, there is a need …

Mirna-Seq Analysis Pipeline And R Shiny App, Alexis Torres

Master's Projects

ABSTRACT Thrombosis in the internal jugular vein (IJV) has been identified as a risk factor for astronauts undergoing spaceflight, following a 2019 study in which one astronaut developed a thrombus, and several others experienced stagnant or retrograde blood flow. To better understand this phenomenon, a model that simulates the effects of microgravity on blood flow in the IJV is being developed. mRNA and microRNA NGS sequencing will be used to study the transcriptome of human umbilical vein endothelial cells (HUVEC) in simulated microgravity conditions. A microRNA sequencing (miRNA-seq) pipeline has been developed to quantify the miRNA sequencing results. A graphical …

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 …

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. …

Enhancing Information Access Through Information Literacy Programs: A Case Of Marist International University College., Edgar Owira, Arnold Mwanzu

Library Philosophy and Practice (e-journal)

Information literacy has been used successfully the world over as a strategy to improve access to information resources that usually cost a lot of money but, due to lack of awareness and skills of utilization, result in low or no usage at all. Most local institutions of higher learning have implemented programs that are either embedded in their curriculum or spontaneous to maximize usage. It is essential to assess or evaluate these programs' efficiency and effectiveness and use the feedback to plan for improvements. This study sought to assess and investigate the role of information literacy programs in enhancing information …

Research Design In Library And Information Science, Olufemi Olubunmi Ilori, Ayotola Olubunmi Onanuga

Library Philosophy and Practice (e-journal)

Research design is the bedrock or roadmap of any research work which is anticipated to provide suitable framework on how a study is to be conducted. This design should be carefully prepared prior to the commencement of the research. The type of identified research problem will determine the research design and not vice-versa. Also, the questions to be answered by conducting the research constitute the most important element of any research design. In accordance to literature, the most predominant designs used in Library and information Science (LIS) researches are: Case study, Survey and Experimental designs. This study explained in details …

Information And Communication Technology Infrastructure Resources Utilization In Libraries As Correlate Of Postgraduate Students’ Research Output In Nigerian Federal Universities, Fidelia M. Whong Mrs

Library Philosophy and Practice (e-journal)

The study determined the relationship between Information and Communication Technology (ICT) infrastructure resources utilization in libraries and post-graduate students' research output in Nigerian federal universities. The study adopted a correlational survey research design in six selected Nigerian federal universities with a population of 40,328 postgraduate students as of the 2018/2019 academic session with a sample size of 2,016 (5%). The questionnaire was the instrument used for data collection through online google forms. Linear regression and process macro analysis were used. The result shows the coefficient of determination (R²) associated with the correlation coefficient of 0.351 was 0.123 for …

Gender Differences In Information Literacy Self-Efficacy Among Academic Librarians In Federal University Libraries In South-East Nigeria, Osita Victor Ossai Dr

Library Philosophy and Practice (e-journal)

The study investigated gender differences in information literacy self-efficacy among academic librarians working in federal university libraries in South-east Nigeria. The descriptive survey research design was used in this study. Using purposive sampling, twenty academic librarians were selected for the study. The Information Literacy Self-Efficacy Scale (ILSES) was used to obtain the data. In total, there are 28 items on the scale, which has a high Cronbach Alpha reliability score of 0.91. In this scale, seven sub-dimensions are measured extensively. To analyze the data, percentages, means, standard deviations, t-tests, and Lavene's tests were used. In terms of mean ratings, male …

Investigating Postgraduate Students Of Olabisi Onabanjo University's Use Of Electronic Information Resources Usingtechnology Acceptance Model., Abiodun O. Odunewu, Wuraola Janet Oyedipe, Siddiqah O. Oyedokun

Library Philosophy and Practice (e-journal)

Research remains an integral part of university postgraduate studies. Literature is a key ingredient of research report writing, while paper based information resources are often difficult to remotely access, the internet has encouraged and enhanced information resources access and use. It is therefore pertinent that universities worldwide should ensure the provision and access to information resources, particularly those available in electronic format. This study thus investigated the use of electronic information resources (EIR) by postgraduate students of the Olabisi Onabanjo University using the Davis Technology Acceptance Model (TAM). A survey research design was adopted for this study and the population …

Understanding Covid-19 Related Health Literacy Skills And Competencies Among The Working Lis Professionals In Dr. Zakir Husain Central Library, Jamia Millia Islamia: A Study, Ms. Nisha Mn, Manir Uddin Ansari Mua

Library Philosophy and Practice (e-journal)

Health literacy has become an integral component of human life, and it plays a significant role in ensuring safety from a variety of deadly diseases. India's health literacy rate is below average when compared to other countries. Since the Covid-19 pandemic, doctors and volunteers from all over the world have been striving to promote health literacy to raise public awareness through various media. Given the foregoing, the main objective of this study is to identify the level of Covid-19 related health literacy among working LIS professionals at Jamia Millia Islamia's Dr.Zakir Husain Central Library. The survey approach is being used …