Digital Commons Network^™

Computational Astronomy: Classification Of Celestial Spectra Using Machine Learning Techniques, Gayatri Milind Hungund

Master's Projects

Lightyears beyond the Planet Earth there exist plenty of unknown and unexplored stars and Galaxies that need to be studied in order to support the Big Bang Theory and also make important astronomical discoveries in quest of knowing the unknown. Sophisticated devices and high-power computational resources are now deployed to make a positive effort towards data gathering and analysis. These devices produce massive amount of data from the astronomical surveys and the data is usually in terabytes or petabytes. It is exhaustive to process this data and determine the findings in short period of time. Many details can be missed …

Yoga Pose Classification Using Deep Learning, Shruti Kothari

Master's Projects

Human pose estimation is a deep-rooted problem in computer vision that has exposed many challenges in the past. Analyzing human activities is beneficial in many fields like video- surveillance, biometrics, assisted living, at-home health monitoring etc. With our fast-paced lives these days, people usually prefer exercising at home but feel the need of an instructor to evaluate their exercise form. As these resources are not always available, human pose recognition can be used to build a self-instruction exercise system that allows people to learn and practice exercises correctly by themselves. This project lays the foundation for building such a system …

Rehearsal Scheduling Problem, Thuan Bao

Master's Projects

Scheduling is a common task that plays a crucial role in many industries such as manufacturing or servicing. In a competitive environment, effective scheduling is one of the key factors to reduce cost and increase productivity. Therefore, scheduling problems have been studied by many researchers over the past thirty years. Rehearsal scheduling problem (RSP) is similar to the popular resource-constrained project scheduling problem (RCPSP); however, it does not have activity precedence constraints and the resources’ availabilities are not fixed during processing time. RSP can be used to schedule rehearsal in theatre industry or to schedule group scheduling when each member …

Determination Of A Graph's Chromatic Number For Part Consolidation In Axiomatic Design, Jeffery Anthony Cavallaro

Master's Theses

Mechanical engineering design practices are increasingly moving towards a framework called axiomatic design (AD). A key tenet of AD is to decrease the information content of a design in order to increase the chance of manufacturing success. An important way to decrease information content is to fulfill multiple functional requirements (FRs) by a single part: a process known as part consolidation. One possible method for determining the minimum number of required parts is to represent a design by a graph, where the vertices are the FRs and the edges represent the need to separate their endpoint FRs into separate parts. …

The Baroque In Games: A Case Study Of Remediation, Stephanie Elaine Thornton

Master's Theses

This thesis presents a case study for the remediation of baroque painting by some contemporary video games. Video games such as Horizon Zero Dawn borrow illusionistic techniques, the motif of the labyrinth, and the use of the total work of art as presented in certain baroque paintings. These characteristics are modified and represented within the new medium in an effort to heighten immediacy and create an immersive experience for the audience. This thesis discusses the process of remediation in detail and then analyzes how video games—and Horizon Zero Dawn in particular—remediate illusionistic techniques like linear and atmospheric perspective. Then, the …

Methods For Sensitive Detection Of Magneto Optic Kerr Effect, James Creed

Master's Theses

The focus of this project is to numerically model the phenomenon known as the Magneto Optic Kerr Effect, MOKE, where the interaction between light and surface in the presence of a magnetic field, results in a rotation of the polarization axis of the reflected light, and to develop a method by which to experimentally measure the strength of the interaction. The amount of polarization rotation is proportional to the strength of the magnetic field and changes in polarization can be detected using polarizing optics. This thesis project successfully develops a numerical model for MOKE and an experimental method is outlined …

An Examination Of Garden-Based Education Impacts On Title 1 Elementary School Students’ Environmental Literacy In San José, California, Alexandra Dahl

Master's Theses

The objective of this research was to assess garden-based pedagogy as an effective strategy to increase environmental literacy in elementary-aged students. With severe environmental issues facing children today and into the future, environmental literacy is a desired outcome of environmental education programs. Such interventions create environmentally responsible citizens who understand how humans impact the natural environment and thereby act sustainably. Currently, little research exists on garden education’s influence on students’ environmental literacy, especially in underrepresented communities. Using a nonequivalent control group study design, this project investigated the impact of a garden education program in Central San José, CA in an …

Auto-Landing System For Fixed-Wing Unmanned Aerial Vehicle, Dan Dermer

Master's Theses

Unmanned aerial vehicle systems, or any kind or autonomous system, are relevant to many applications today. However, they are complex and sophisticated systems that require a deep understanding of multiple technologies. In addition, the mathematical rigor, computer modelling, and programming applications involved make t¬his a challenging field of study. This thesis explores the possibility of achieving the automated landing of a fixed-wing unmanned aerial vehicle. Auto-landing systems can resolve the challenges for the novice user and make aerial vehicle platforms accessible and dependable. A wide spectrum of applications such as agriculture, aerial photography, and security, to name a few, can …

The Mediating Role Of Work Engagement On The Relationship Between Perceived Supervisor Support And Turnover Intention, Addison Yeosock

Master's Theses

The purpose of the current study was to examine the mediating role of work engagement on the relationship between perceived supervisor support and turnover intention using the Jobs Demands-Resources (JD-R) model and the motivational processes of engagement as the theoretical framework. A total of 954 employees of a healthcare organization participated in an online survey. Results showed that work engagement partially mediated the relationship between perceived supervisor support and turnover intention. Perceived supervisor support was negatively related to turnover intention directly and indirectly through work engagement. Based on these findings, organizations should focus on strategies of increasing the job resource …

Malware Classification Based On Hidden Markov Model And Word2vec Features, Aparna Sunil Kale

Master's Projects

Malware classification is an important and challenging problem in information security. Modern malware classification techniques rely on machine learning models that can be trained on a wide variety of features, including opcode sequences, API calls, and byte ��-grams, among many others. In this research, we implement hybrid machine learning techniques, where we train hidden Markov models (HMM) and compute Word2Vec encodings based on opcode sequences. The resulting trained HMMs and Word2Vec embedding vectors are then used as features for classification algorithms. Specifically, we consider support vector machine (SVM), ��-nearest neighbor

(��-NN), random forest (RF), and deep neural network (DNN) classifiers. …

The Impact Of The Language Of Instruction On Second-Grade Latinx Emergent Bilinguals’ Understanding Of Place Value In Two Spanish-English Transitional Bilingual Classrooms: An Exploratory Study, Angela Maria Rengifo

Dissertations

The relationship between mathematics learning and the language of instruction in bilingual settings has been observed and analyzed widely in educational research. As Latinx Emergent Bilingual students start developing their mathematics knowledge and skills in elementary classrooms, the role that language plays in the process has been studied as a key aspect of classroom practice. A convergent parallel mixed-method approach was used to examine fourteen second-grade Latinx Emergent Bilingual students’ understanding of the concept of place value and whether this process was related to the language of instruction chosen in each of the two Spanish-English transitional bilingual classrooms. Findings from …

Understanding The Barriers, Bridges And Bases To Inclusion Instruction For Secondary Students With Mild To Moderate Disabilities, Angela Renee Lyte Crowther

Dissertations

Inclusion is the practice of educating students with disabilities and students without disabilities in the same learning environment. For secondary students with mild/moderate disabilities, inclusion is rooted in the philosophical mindset of social justice, equity, and legislation. Inclusion is a complex and sometimes controversial topic few educational systems want to tackle. The purpose of this multi-method research was to gather and analyze secondary site administrators' and teachers’ opinions on the barriers, bridges, and bases needed for the furtherance of inclusion practices and the elimination of the segregated classrooms for students with mild-moderate disabilities. A plethora of research on this topic …

Plurality Of Traditions And Metatheories In Information Science, Taufik Asmiyanto, Muhamad Prabu Wibowo

Library Philosophy and Practice (e-journal)

Information science presupposes multi traditions because of its close relationship to the convergence of several fields of science that saw epistemic and practical needs and demands due to the phenomenon of the information revolution and information and communication technology (ICT). The multi traditions in information science are relevant to explain limitless study objects in information science in understanding reality and ways of gaining knowledge throughout the development of science. A previous study on ontology and epistemology shows that there is a limitation on human reasoning on the understanding reality that affects further development of science. The plurality of traditions enables …

Comparison Of Word2vec With Hash2vec For Machine Translation, Neha Gaikwad

Master's Projects

Machine Translation is the study of computer translation of a text written in one human language into text in a different language. Within this field, a word embedding is a mapping from terms in a language into small dimensional vectors which can be processed using mathematical operations. Two traditional word embedding approaches are word2vec, which uses a Neural Network, and hash2vec, which is based on a simpler hashing algorithm. In this project, we have explored the relative suitability of each approach to sequence to sequence text translation using a Recurrent Neural Network (RNN). We also carried out experiments to test …

Improved Chinese Language Processing For An Open Source Search Engine, Xianghong Sun

Master's Projects

Natural Language Processing (NLP) is the process of computers analyzing on human languages. There are also many areas in NLP. Some of the areas include speech recognition, natural language understanding, and natural language generation.

Information retrieval and natural language processing for Asians languages has its own unique set of challenges not present for Indo-European languages. Some of these are text segmentation, named entity recognition in unsegmented text, and part of speech tagging. In this report, we describe our implementation of and experiments with improving the Chinese language processing sub-component of an open source search engine, Yioop. In particular, we rewrote …

Real-Time Ad Click Fraud Detection, Apoorva Srivastava

Master's Projects

With the increase in Internet usage, it is now considered a very important platform for advertising and marketing. Digital marketing has become very important to the economy: some of the major Internet services available publicly to users are free, thanks to digital advertising. It has also allowed the publisher ecosystem to flourish, ensuring significant monetary incentives for creating quality public content, helping to usher in the information age. Digital advertising, however, comes with its own set of challenges. One of the biggest challenges is ad fraud. There is a proliferation of malicious parties and software seeking to undermine the ecosystem …

Network Traffic Based Botnet Detection Using Machine Learning, Anand Ravindra Vishwakarma

Master's Projects

The field of information and computer security is rapidly developing in today’s world as the number of security risks is continuously being explored every day. The moment a new software or a product is launched in the market, a new exploit or vulnerability is exposed and exploited by the attackers or malicious users for different motives. Many attacks are distributed in nature and carried out by botnets that cause widespread disruption of network activity by carrying out DDoS (Distributed Denial of Service) attacks, email spamming, click fraud, information and identity theft, virtual deceit and distributed resource usage for cryptocurrency mining. …

Load Balancing In Cloud Computing, Snehal Dhumal

Master's Projects

Cloud computing is one of the top trending technologies which primarily focuses on the end user’s use cases. The service provider needs to provide services to many clients. These increasing number of requests from the clients are giving rise to the new inventions in the load scheduling algorithms. There are different scheduling algorithms which are already present in the cloud computing, and some of them includes the Shortest Job First (SJF), First Come First Serve (FCFS), Round Robin (RR) etc. Though there are different parameters to consider when load balancing in cloud computing, makespan (time difference between start time of …

Virtual Robot Locomotion On Variable Terrain With Adversarial Reinforcement Learning, Phong Nguyen

Master's Projects

Reinforcement Learning (RL) is a machine learning technique where an agent learns to perform a complex action by going through a repeated process of trial and error to maximize a well-defined reward function. This form of learning has found applications in robot locomotion where it has been used to teach robots to traverse complex terrain. While RL algorithms may work well in training robot locomotion, they tend to not generalize well when the agent is brought into an environment that it has never encountered before. Possible solutions from the literature include training a destabilizing adversary alongside the locomotive learning agent. …

The Benefits Of Being The Player, Marc Velayo

ART 108: Introduction to Games Studies

Gaming, specifically video games has affected everyone’s lives since its creation during the early 1970s. From being a form of entertainment to being an instructional material for class--the impact of gaming is highly visible in our society. The future of gaming is getting bigger--with the creation of various video games genres, consoles etc. Gaming is exponentially rising with the advancement of technology. With its exponential growth, video games or gaming should be used in our society not just as a form of entertainment, but as a tool for education and self-growth.

Program Evaluation Of Affordable Housing Projects For Educators: Pathways To Success, Giulia C. Seminatore

Master's Projects

Research was conducted to answer the question, what are the successful pathways to the creation of school district-driven affordable housing projects to enhance recruitment and retention of teachers and other school district staff? This research is based on a program evaluation of four current housing developments for educators and school district staff, and describes successful models for implementation that can be followed by other interested school districts or organizations. For the purpose of this research, successful is defined as projects that were able to secure land, funding and public support during the planning phase, and house district workforce upon implementation. …

Implementing Tontinecoin, Prashant Pardeshi

Master's Projects

One of the alternatives to proof-of-work (PoW) consensus protocols is proof-of- stake (PoS) protocols, which address its energy and cost related issues. But they suffer from the nothing-at-stake problem; validators (PoS miners) are bound to lose nothing if they support multiple blockchain forks. Tendermint, a PoS protocol, handles this problem by forcing validators to bond their stake and then seizing a cheater’s stake when caught signing multiple competing blocks. The seized stake is then evenly distributed amongst the rest of validators. However, as the number of validators increases, the benefit in finding a cheater compared to the cost of monitoring …

Using Color Thresholding And Contouring To Understand Coral Reef Biodiversity, Scott Vuong Tran

Master's Projects

This paper presents research outcomes of understanding coral reef biodiversity through the usage of various computer vision applications and techniques. It aims to help further analyze and understand the coral reef biodiversity through the usage of color thresholding and contouring onto images of the ARMS plates to extract groups of microorganisms based on color. The results are comparable to the manual markup tool developed to do the same tasks and shows that the manual process can be sped up using computer vision. The paper presents an automated way to extract groups of microorganisms based on color without the use of …

Co-Authorship Visualization Of Research On Covid-19 From Web Of Science Data Using Bibliometric Analysis, Akbar Iskandar, Firman Azis, Riskha Dora Candra Dewi, R. Rusli, Ansari Saleh Ahmar

Library Philosophy and Practice (e-journal)

Bibliometric analysis is one of the research approaches that utilizes quantitative and mathematical data to address problems posed in the context of visualization to see patterns in the field of science. In fact, bibliometric analysis may also include a wider overview of the names of the most influential writers in the area of science. This data analysis would discuss the co-authorship of COVID-19 research covering author productivity and author collaboration. The data was collected on 11th May 2020 of Web of Science (WoS) Core Collection database. The literature review was conducted using the keyword: TOPIC: ("covid") AND YEAR PUBLISHED: (2020). …

How Do Video Games Affect The Brain?, Kenneth Lee

ART 108: Introduction to Games Studies

Video games are a wildly popular past time in not only America, but other countries as well. Its popularity has done nothing but increase in an exponential fashion, engulfing more and more members of society in its reach; however, its gaining traction in combination with behavioral observations and frequent violent events compelled many to question its effects on those who play them. Some attribute tragedies like recent school shootings to the vast array of First Person Shooter(FPS) games, blaming it for engraining in adolescents’ and adults’ brains a sense of increased aggression and violence. Others praise educational games for stimulating …

Benchmarking Mongodb Multi-Document Transactions In A Sharded Cluster, Tushar Panpaliya

Master's Projects

Relational databases like Oracle, MySQL, and Microsoft SQL Server offer trans- action processing as an integral part of their design. These databases have been a primary choice among developers for business-critical workloads that need the highest form of consistency. On the other hand, the distributed nature of NoSQL databases makes them suitable for scenarios needing scalability, faster data access, and flexible schema design. Recent developments in the NoSQL database community show that NoSQL databases have started to incorporate transactions in their drivers to let users work on business-critical scenarios without compromising the power of distributed NoSQL features [1].

MongoDB is …

Usage And Effects Of Video Games In Education, Kevin Sagara

ART 108: Introduction to Games Studies

In modern society, the act of playing games entices certain prejudices towards those who decide to participate in such activities. Those prejudices normally revolve around negative stereotypes where games are meant for non-social adults and are seen as something akin to addiction if gone too far. But how much gaming is needed to be considered as an addiction and what actual effects does it have on mental growth, social capabilities and academics? As a community revolving around technology as much as we are, understanding how video games play a role in our social space is an important aspect to growth. …

Understanding Impact Of Twitter Feed On Bitcoin Price And Trading Patterns, Ashrit Deebadi

Master's Projects

‘‘Cryptocurrency trading was one of the most exciting jobs of 2017’’. ‘‘Bit- coin’’,‘‘Blockchain’’, ‘‘Bitcoin Trading’’ were the most searched words in Google during 2017. High return on investment has attracted many people towards this crypto market. Existing research has shown that the trading price is completely based on speculation, and its trading volume is highly impacted by news media. This paper discusses the existing work to evaluate the sentiment and price of the cryptocurrency, the issues with the current trading models. It builds possible solutions to understand better the semantic orientation of text by comparing different machine learning techniques and …

Land Registry On Blockchain, Mugdha Patil

Master's Projects

The commercial real estate market is a significant part of the global economy, currently dominated by a small set of firms and organizations that lack transparency. The process of property transfers also requires third party intervention which is expensive. In many countries, the process of title transfers is problematic. We are still in the initial steps of digitization, due to the improvement required in terms of use of technology to represent assets in digital forms. Increase in liquidity of investments and purchases, proper management, documentation as well as ease of access is the future of real estate. Blockchain technologies have …

Quality Assessment Of Nuclear Physics Journals By Comparing Bibliometrics Indicators, Md.Safiqur Rahaman, Khadeeja M.N Ansari, Shakil Ahmad, Dr. Hashem Hussein Al-Attas, Rahman Md Rafiqur

Library Philosophy and Practice (e-journal)

Purpose: The present study aimed to assess and review the quality of journals from the field of nuclear physics based on some selected high-quality bibliometrics indicators, namely Journal Impact Factor (JIF), Eigenfactor Score (ES), SCImago Journal Rank (SJR) and H5-index.

Methodology: Nineteen (19) nuclear physics journals from the Web of science core collection and Scopus database have been retrieved and tabulated under each mentioned indicator as per the ranks and values for the analysis. The analysis has done by using IBM SPSS (21.0).

Findings: Bivariate correlation coefficient have been considered, a high Pearson’s (r) observed between JIF and …