Digital Commons Network^™

Development Of Job Satisfaction Scale For Female Library Professionals: Case Study, Punam Chauhan, Aditya Tripathi, Mohd Shoaib Ansari

Library Philosophy and Practice (e-journal)

It has been observed that there are no standard scales for measuring the job satisfaction of female library professionals. A scale would prove to be an excellent tool for developing policies for female library professionals. A questionnaire is prepared, which is further tested for reliability and validity, considered a standard scale. A survey method is used to collect the data for this purpose. The study suggests that job satisfaction variables are not unidirectional in their effect. The job itself can be a source of both satisfaction and dissatisfaction. The scale has good internal consistency. The scale has good internal consistency …

Evaluation Of Gpu Acceleration For Wrf–Sfire, Joshua Benz

Master's Projects

WRF–SFIRE is an open source, atmospheric–wildfire model that couples the WRF model with the level set fire spread model to simulate wildfires in real time. This model has many applications and more scientific questions can be asked and answered if the model can be run faster. Nvidia has put a lot of effort into easing the barrier of entry for accelerating applications with their tools to be run on GPUs. Various physical simulations have been successfully ported to utilize GPUs and have benefited from the speed increase. In this research, we take a look at WRF-SFIRE and try to use …

Bibliometric Analysis Of The Aslib Journal Of Information Management From 2014 To 2021, Satyajit Nayak, Dillip Kumar Parida, Neha Verma, Piyush Kumar Hari

Library Philosophy and Practice (e-journal)

The purpose of this study is to examine the papers published in the ASLIB Journal of Information Management between 2014 to 2021. The Scopus database was chosen for bibliographic data extraction. The VOSviewer software was used to visualize the research results using network maps. During the research period, 311 papers with 2534 citations were discovered. The publication trends of the ASLIB Journal of Information Management have been identified using a variety of bibliometric variables. The findings of the study revealed that, the most documents (n=52) were published in 2020, while the most citations (n=558) were recorded in 2015. In total, …

Twin Anomaly Detection System, Paaras Chand

Master's Projects

Anomaly detection performs well in situations where signature (and other rule-based) methods fail; there is no need to identify every threat as long as it is different from the norm. The tradeoff is that anomaly detection often results in a large number of false positives. While previous work has capitalized on the data imbalance problem to train models with only one set of data (one-class classification), few have utilized the limiting set for anything other than testing purposes. This paper seeks to utilize two anomaly detectors: one that is trained on the positive set and one that is trained on …

Blue Red Hackenbush Spiders, Ravi Cho

Master's Theses

One of the goals of Combinatorial Game Theory is to find provable winning strategiesfor certain games. In this paper, we give winning strategies for certain spider positions played using the rules of Blue Red Hackenbush and a variant. Blue Red Hackenbush and its variants are played on a graph of a bLue and Red edges that are connected to a vertex called the ground. We will represent the ground as a horizontal black line. In this paper, we study spider graphs played under two different variants: Blue Red Hackenbush and Reverse Blue Red Hackenbush. Both variants are played by two …

Linear Inverse Problems And Neural Networks, Jasjeet Dhaliwal

Master's Theses

We investigate two ideas in this thesis. First, we analyze the results of adaptingrecovery algorithms from linear inverse problems to defend neural networks against adversarial attacks. Second, we analyze the results of substituting sparsity priors with neural network priors in linear inverse problems. For the former, we are able to extend the framework introduced in [1] to defend neural networks against ℓ0, ℓ2,and ℓ∞ norm attacks, and for the latter, we find that our method yields an improvement over reconstruction results of [2].

Sparse Coding For Data Augmentation Of Hyperspectral Medical Images, Rojin Zandi

Master's Theses

Hyperspectral imaging presents detailed information about the electromagneticspectrum of an object in three dimensions. The significant point about the hyperspectral images is that it contains tens or hundreds of spectral layers, which provide precise data about the composition of the studied material. Therefore, hyperspectral images have been popular in many fields of study, such as medical diagnostic imaging. Speed and precision are key points to save human life in disease diagnosis, and applying machine learning techniques to medical hyperspectral images helps answer this need. Convolutional neural networka are one of the most popular machine learning methods for classifying medical images. …

Effects Of Extra-Curricular Project-Based Learning Experiences On Self-Efficacy And Interest In Stem Fields In High School, Taihao Kevin Wan

Dissertations

As our society and systems become more technologically advanced, increasing opportunities exist for students interested to pursue careers in Science, Technology, Engineering, and Mathematics (STEM) fields. However, pervasive inequities have led to differences in the extent to which women and underrepresented racial/ethnic groups choose to pursue study and career pathways in STEM. Project-Based Learning (PBL) is among the most widely researched strategies suggested to support student learning and motivation and has more recently been applied to school-based efforts to increase student interest in STEM related fields. Rooted in Social Cognitive Career Theory, this study examined changes in students’ self-reported general …

Reading And Study Habits Among Secondary School Students During Covid-19 Lock-Down In Ondo City, Michael Jato

Library Philosophy and Practice (e-journal)

The study is on the reading and study habits of secondary students during Covid-19 lockdown in Ondo City. The study employs survey research design and questionnaire instrument was used to elicit responses from200 respondents. Five research questions were formulated and the answers were provided through statistical mean. Findings reveal that that the reading habit of secondary school students during Covid-19 lockdown in Ondo city was good, but the study habit was poor, diverse materials were used for studying, home was used mostly for study and house chores and insufficient data were the major challenges. The study concludes that students of …

An Examination Of Factors Predicting Academic Engagement And Commitment Among Science, Technology, Engineering, And Mathematics Students: The Moderating Role Of Gender, Tasanee S. Thienpothong

Master's Theses

The purpose of the present study was to examine the role of gender on the relationships between the predictor variables (i.e., sense of belonging, grit, and support systems) and academic engagement and commitment to major among science, technology, engineering, and mathematics (STEM) students. Specifically, this study proposed that gender would act as a moderator of these relationships such that the relationships between the predictor variables and the outcome variables would be stronger for women than for men in STEM. A total of 254 undergraduates from a university in Northern California participated in an in-person survey. Although results did not show …

Research Trends In Annals Of Library And Information Studies (Alis): A Bibliometric Review From 2011-2021, Satyajit Nayak, Piyush Kumar Hari, Neha Verma

Library Philosophy and Practice (e-journal)

The study uses various bibliometric techniques to examine papers published in the Annals of Library and Information Studies (ALIS) from 2011 to 2021. Scopus database was used to gather the necessary information. Furthermore, the research productivity was measured using various parameters such as year-by-year distribution of publications with citations, RCI, AGR, ACPP, CAI, Citation analysis, and author, institution, and country collaboration. The findings of the study, the number of articles published varies with time, with the highest number of articles published in 2014. Two authors published the most research papers (152), followed by single authors (108). B. K. Sen was …

Visualization Of Woman Leadership Library Study With Bibliometric Review (1952 – 2020), Hadi Priyono, Subagyo Adam, Erna Setijaningrum

Library Philosophy and Practice (e-journal)

Research on Woman Leadership continues to grow but is limited to one country and/or one field. From a bibliometric point of view, this study aims to visually study mapping and research trends in the field of Woman Leadership on an international scale. This study uses bibliometric techniques with secondary data from Scopus. Analyse and visualize data using the VOSViewer program and the search result analysis function in Scopus. The study analysed 767 scientific documents published from 1957 to 2020. According to the study, The George Washington University and Longman, K.A., has the most active institutions and individual scientists in Women …

Does Social Studies Education Students’ Attitude Determine How They Utilize Conventional And Digital Libraries In Nigeria?, Joseph Chinweobo Onuoha Ph.D, Chinonso Mbama, Nkechinyere Edeh

Library Philosophy and Practice (e-journal)

The study determined the attitude of Social Studies Education (SSE) students towards the use of conventional and digital libraries in South-east Nigeria universities. It adopted a survey research design. Four research questions and four null hypotheses guided the study. The population of the study was 238 Students which consisted all the SSE students from 2⁰⁰ to 400 level. A sample size of 152 students selected through multi-stage sampling techniques were used for the study. A- 4-point instrument developed by the researcher titled “Questionnaire on Attitude towards the use of conventional and digital Libraries (QACDL)” was used for the study. …

Nitrogenase Iron Protein Classification Using Cnn Neural Network, Amer Rez

Master's Projects

The nitrogenase iron protein (NifH) is extensively used to study nitrogen fixation, the ecologically vital process of reducing atmospheric nitrogen to a bioavailable form. The discovery rate of novel NifH sequences is high, and there is an ongoing need for software tools to mine NifH records from the GenBank repository. Since record annotations are unreliable, because they contain errors, classifiers based on sequence alone are required. The ARBitrator classifier is highly successful but must be initialized by extensive manual effort. A Deep Learning approach could substantially reduce manual intervention. However, attempts to build a character-based Deep Learning NifH classifier were …

Achieving Fairness Through Load-Balancing In Social Cloud Computing Networks, Kaiyi Huang

Master's Projects

Cloud-based computing networks have taken over the digital landscape. From small non-profits to large multinational corporations, more and more entities have been offloading computing effort to the cloud in order to take advantage of the increased cost-efficiency and scalability of cloud computing. One of the new types of cloud that have emerged is the P2P cloud, which disengages from a traditional datacenter setup by allowing users to instead share their own computing hardware into a cloud to take advantage of cloud computing’s advantages at an even lower cost. However, this new paradigm comes with a slew of challenges, notably, security …

Task Classification During Visual Search Using Classic Machine Learning And Deep Learning, Devangi Vilas Chinchankar

Master's Projects

In an average human life, the eyes not only passively scan visual scenes, but most times end up actively performing tasks including, but not limited to, searching, comparing, and counting. As a result of the advances in technology, we are observing a boost in the average screen time. Humans are now looking at an increasing number of screens and in turn images and videos. Understanding what scene a user is looking at and what type of visual task is being performed can be useful in developing intelligent user interfaces, and in virtual reality and augmented reality devices. In this research, …

The Impact Of Programming Language’S Type On Probabilistic Machine Learning Models, Sherif Elsaid

Master's Projects

Software development is an expensive and difficult process. Mistakes can be easily made, and without extensive review process, those mistakes can make it to the production code and may have unintended disastrous consequences.

This is why various automated code review services have arisen in the recent years. From AWS’s CodeGuro and Microsoft’s Code Analysis to more integrated code assistants, like IntelliCode and auto completion tools. All of which are designed to help and assist the developers with their work and help catch overlooked bugs.

Thanks to recent advances in machine learning, these services have grown tremen- dously in sophistication to …

Dynamic Resource Management Of Fog-Cloud Computing For Iot Support, Mariia Surmenok

Master's Projects

The internet of things (IoT) is an integrated part of contemporary life. It includes wearable devices, such as smart watches and cell phones, as well as sensors for Smart City. Fog computing can improve the efficiency and battery life of IoT devices by offloading tasks to fog cloud. It is important to have fog clusters near the IoT device for faster data offload. The goal of this project is to develop dynamic resource allocation for on-demand fog computing cluster to efficiently deploy tasks from IoT. This report studies the different research papers about the current state of resource management in …

Privacy Preserving For Multiple Computer Vision Tasks, Amala Varghese Wilson

Master's Projects

Privacy-preserving visual recognition is an important area of research that is gaining momentum in the field of computer vision. In a production environment, it is critical to have neural network models learn continually from user data. However, sharing raw user data with a server is less desirable from a regulatory, security and privacy perspective. Federated learning addresses the problem of privacy- preserving visual recognition. More specifically, we closely examine and dissect a framework known as Dual User Adaptation (DUA) presented by Lange et al. at CVPR 2020, due to its novel idea of bringing about user-adaptation on both the server-side …

Predicting Stocks With Lstm-Based Drnn And Gan, Duy Ngo

Master's Projects

Trading equities can be very lucrative for some and a gamble for others. Professional traders and retail traders are constantly amassing information to be a step ahead of the market to profit off the value of stocks on the market. Some of the tools in their arsenal include different types of calculations based on a variety of data collected on a stock. Technical analysis is a technique for traders to analyze the data of equities presented on charts. Often, the way the price changes over time can be used as an indicator for traders to predict how future prices will …

An Open Source Direct Messaging And Enhanced Recommendation System For Yioop, Aniruddha Dinesh Mallya

Master's Projects

Recommendation systems and direct messaging systems are two popular components of web portals. A recommendation system is an information filtering system that seeks to predict the "rating" or "preference" a user would give to an item and a direct messaging system allows private communication between users of any platform. Yioop, is an open source, PHP search engine and web portal that can be configured to allow users to create discussion groups, blogs, wikis etc.

In this project, we expanded on Yioop’s group system so that every user now has a personal group. Personal groups were then used to add user …

Analysis Of Camera Trap Footage Through Subject Recognition, Nirnayak Bhardwaj

Master's Projects

Motion-sensitive cameras, otherwise known as camera traps, have become increasingly popular amongst ecologists for studying wildlife. These cameras allow scientists to remotely observe animals through an inexpensive and non-invasive approach. Due to the lenient nature of motion cameras, studies involving them often generate excessive amounts of footage with many photographs not containing any animal subjects. Thus, there is a need for a system that is capable of analyzing camera trap footage to determine if a picture holds value for researchers. While research into automated image recognition is well documented, it has had limited applications in the field of ecology. This …

Identifying Bots On Twitter With Benford’S Law, Sanmesh Bhosale

Master's Projects

Over time Online Social Networks (OSNs) have grown exponentially in terms of active users and have now become an influential factor in the formation of public opinions. Due to this, the use of bots and botnets for spreading misinformation on OSNs has become a widespread concern. The biggest example of this was during the 2016 American Presidential Elections, where Russian bots on Twitter pumped out fake news to influence the election results.

Identifying bots and botnets on Twitter is not just based on visual analysis and can require complex statistical methods to score a profile based on multiple features and …

Employee Churn Prediction Using Logistic Regression And Support Vector Machine, Rajendra Maharjan

Master's Projects

It is a challenge for Human Resource (HR) team to retain their existing employees than to hire a new one. For any company, losing their valuable employees is a loss in terms of time, money, productivity, and trust, etc. This loss could be possibly minimized if HR could beforehand find out their potential employees who are planning to quit their job hence, we investigated solving the employee churn problem through the machine learning perspective. We have designed machine learning models using supervised and classification-based algorithms like Logistic Regression and Support Vector Machine (SVM). The models are trained with the IBM …

High Performance Document Store Implementation In Rust, Ishaan Aggarwal

Master's Projects

Databases are a core part of any application which requires persistence of data. The performance of applications involving the use of database systems is directly proportional to how fast their database read-write operations are. The aim of this project was to build a high- performance document store which can support variety of applications which require data storage and retrieval of some kind. This document store can be used as an independently running backend service which can be utilized by search engines, applications which deal with keeping records, etc. We used Rust to make this document store which is fast, robust, …

Informetrics Of Webinars Through Video Conferencing Platforms For Teaching And Learning By Different Lis Professional During Covid-19 Period: An Evaluative Study, Laltu Aich, Ankit Das

Library Philosophy and Practice (e-journal)

Now-a-days education and educational resources are open to all but we are facing a terrible epidemic situation due to Corona virus (COVID-19), so we need different electronic learning platforms for e-learning. In this present study, authors have explained, how many webinars are organized by Library and Information Science (LIS) professional during this period April 2020 to June 2021, distribution of webinars based on month capacity, how many web conferencing platforms used in LIS related webinars, distribution of types of organizers of webinars, distribution of webinars based on the respective region, distribution of webinars by time duration and time schedule. The …

Markdown To Question & Test Interoperability, Su Kim

Master's Projects

As the classroom setting shifted to a virtual one as a result of Covid-19, numerous software are readily available to accommodate for the change, including Canvas, the online course management system. Canvas has a core feature that allows teachers to generate and administer quizzes for students through their interface, but it does not fully utilize the potential with online exams. The first step to exploring this potential is this project, known as Markdown to Question & Test Interoperability (M2QTI). Based on the QTI specifications, this tool lets users to plan and write quizzes in Markdown format. Combined with Canvas’s ability …

Node.Js Based Document Store For Web Crawling, David Bui

Master's Projects

WARC files are central to internet preservation projects. They contain the raw resources of web crawled data and can be used to create windows into the past of web pages at the time they were accessed. Yet there are few tools that manipulate WARC files outside of basic parsing. The creation of our tool WARC-KIT gives users in the Node.js JavaScript environment, a tool kit to interact with and manipulate WARC files.

Included with WARC-KIT is a WARC parsing tool known as WARCFilter that can be used standalone tool to parse, filter, and create new WARC files. WARCFilter can also, …

A Bibliography On The Impact Of Covid-19 Pandemic On Education And Libraries, Rejoice Ntombifuthi Mthembu, Simeon Ambrose Nwone (Phd)

Library Philosophy and Practice (e-journal)

The study provides bibliographic reference sources on the impact of Covid-19 pandemic on education and libraries around the world. Paucity of reference materials on this contemporary topic prompted the compilation of the bibliography thereby fill a crucial gap in LIS bibliographic literature. This enumerative bibliography is the researcher’s effort to provide a single-point reference materials to aid researchers and information seekers to easily find relevant and current literature on the topic. The bibliography puts together sources retrieved from the University of KwaZulu-Natal’s library databases: EBSCOhost, Emerald Insight, Google Scholar, Sabinet, and WorldCat and Google.com To optimise the search results, Boolean …

Library Services And Facilities In Higher Education Institutions In Pakistan: Satisfaction Of Patrons, Muhammad Shoaib, Rustum Ali, Arisha Akbar

Library Philosophy and Practice (e-journal)

This paper attempted to examine the academic library facilities and satisfaction of university library patrons at higher education institution in Pakistan. It is evident that library staff has also been trying their best level to facilitate the library users through different procedures in global south and global north. A quantitative study design had been opted to conduct a cross-sectional survey from two public sector university students of BS (4 years) programme. A structured questionnaire had been administered to measure the response 1275 library patrons sampled through proportionate random sampling technique. A pilot testing had been done to check the reliability …