Digital Commons Network^™

Low-Mass Compact Elliptical Galaxies: Spatially Resolved Stellar Populations And Kinematics With The Keck Cosmic Web Imager, Anna Ferré-Mateu, Mark Durré, Duncan A. Forbes, Aaron J. Romanowsky, Adebusola Alabi, Jean P. Brodie, Richard M. Mcdermid

Faculty Research, Scholarly, and Creative Activity

We present spatially resolved two-dimensional maps and radial trends of the stellar populations and kinematics for a sample of six compact elliptical galaxies (cE) using spectroscopy from the Keck Cosmic Web Imager (KCWI). We recover their star formation histories, finding that all except one of our cEs are old and metal rich, with both age and metallicity decreasing toward their outer radii. We also use the integrated values within one effective radius to study different scaling relations. Comparing our cEs with others from the literature and from simulations we reveal the formation channel that these galaxies might have followed. All …

Detection Of Antibiotic Resistance Genes In The Wastewater Microbial Metagenome, Alan Caparaz Le

Master's Projects

The existential threat of emerging antibiotic resistance in microbial communities poses significant risks to public health. In particular, wastewater can serve as a point of confluence for pharmaceuticals and antibiotic-resistant bacteria from urban and agricultural settings. While this is a prime environment for genetic drift and horizontal transfer of antibiotic resistance genes (ARGs) and mobile genetic elements, it also presents an opportunity for resistome monitoring via shotgun metagenomic sequencing and downstream analysis. This project reports the application of a hybrid assembly approach for the detection of ARGs within DNA derived from a wastewater sample collected from the San José-Santa Clara …

What Do Americans Think About Federal Tax Options To Support Transportation? Results From Year Twelve Of A National Survey, Asha Weinstein Agrawal, Hilary Nixon

Mineta Transportation Institute

This report summarizes the results from the twelfth year of a national public opinion survey asking U.S. adults questions related to their views on federal transportation taxes. A nationally-representative sample of 2,516 respondents completed the online survey from February 5 to 23, 2021.

The questions test public opinions about raising the federal gas tax rate, replacing the federal gas tax with a new mileage fee, and imposing a mileage fee just on commercial travel. In addition to asking directly about support for these tax options, the survey collected data on respondents’ views on the quality of their local transportation system, …

Call Us By Our Names: The Need To Establish Authority Control Standards For Non-Roman Names, Madireng Monyela

Library Philosophy and Practice (e-journal)

Cataloguing cannot exist without standardised access points, and authority control is the mechanism by which we achieve the necessary degree of standardisation, thus enhances the accessibility of library resources by controlling the access points, improving users’ ability to efficiently find the works most relevant to their information search. The paper seeks to understand authority control standards and how non- Roman names are catered for in those standards. The study used desk research. Findings indicated the lack of authority control standards for non-Roman names. The study recommended the establishment of authority control standards for non-Roman names, cataloguers should consult the authors/creators …

Oxygen Therapy: A Scientometric Mapping Of Indian Publications, Surulinathi Muthuraj, Jayasuriya T, Duraipandi R, Senthamilselvi A

Library Philosophy and Practice (e-journal)

The present study has been carried out to find out the research performance in the field of Oxygen Therapy in India during 1991-2021 as indexed in the Web of Science database. A total 1648 research publications have been found in the Web of Science during 31 years period of 1991-2021 and were downloaded for analyze with the help of Histcite, VosViewer and Biblioshiny. The study also provide comparative performance of different Scientometric parameters including total research productivity, yearly research output, authorship pattern, International collaboration, Institution wise concentration, Source wise distribution of publications, Subject wise publications, most prolific authors and highly …

Marketing Spreads Its Wings In Library Services A Study Of Role And Strategies Of Marketing Information Products And Services, Mukesh Kumar Jha , Manohar Parrikar Institute For Defence Studies And Analyses, New Delhi, India, Shriram Pandey , Banaras Hindu University, Varanasi

Library Philosophy and Practice (e-journal)

In a globalized world where library and information services remain as one of the most important assets of the knowledge schemes, the marketing of library and information services has become an important professional medium to reach out to the end-users. Marketing has spread its wings to the library and information science and its strategies are proving very helpful in managing these knowledge systems. This paper focuses on the role of marketing strategies and examines the concept of 7Ps (Product, Promotion, Price, Place, People, Process and Physical Evidence) and also discusses library marketing through website outreach and client base. The paper …

Machine Learning Estimation Of Fire Arrival Time From Level-2 Active Fires Satellite Data, Angel Farguell, Jan Mandel, James Haley, Derek V. Mallia, Adam Kochanski, Kyle Hilburn

Faculty Research, Scholarly, and Creative Activity

Producing high-resolution near-real-time forecasts of fire behavior and smoke impact that are useful for fire and air quality management requires accurate initialization of the fire location. One common representation of the fire progression is through the fire arrival time, which defines the time that the fire arrives at a given location. Estimating the fire arrival time is critical for initializing the fire location within coupled fire-atmosphere models. We present a new method that utilizes machine learning to estimate the fire arrival time from satellite data in the form of burning/not burning/no data rasters. The proposed method, based on a support …

Footprints Of Fixed-Gear Fisheries In Relation To Rising Whale Entanglements On The U.S. West Coast, Blake E. Feist, Jameal F. Samhouri, Karin A. Forney, Lauren E. Saez

Faculty Research, Scholarly, and Creative Activity

On the U.S. West Coast, reports of whales entangled in fishing gear increased dramatically in 2014. In this study, a time series of fishing activity maps was developed from 2009 to 2016 for the four fixed-gear fisheries most commonly implicated in entanglements. Maps were generated using vessel monitoring system (VMS) data linked to port-level landings databases, which were related to entangled whale reports over the same time period and with modelled distributions of humpback whales Megaptera novaeangliae Borowski. Over the full study period, neither marked increases in fishing activity nor changes in fisheries footprints within regions with high whale densities …

A Survey Of Covid-19 Information Dissemination Behavior Of Library And Information Professionals In Nigeria, Joy Iguehi Ikenwe, Idowu Adegbilero-Iwari, Oluwaseun Eniola Adegbilero-Iwari

Library Philosophy and Practice (e-journal)

The corona virus disease reported in 2019 became a global pandemic in 2020. It now maintains an unwelcome status as one of the most difficult public health challenge of modern era. The disease is highly contagious much as the rate of information and misinformation diffusion about it. Whereas members of the public might have shared information on COVID-19 but library and information professionals (LIPs) are trained on the meaningful use of information and information dissemination through social infrastructure. Thus, this paper studied in Nigeria, the COVID-19 information dissemination behavior of LIPs, using the survey research approach. Data were collected through …

Removing The Noise From X-Ray Image Using Image Processing Technology: A Bibliometric Survey And Future Research Directions, Ayushi Kamboj, Mrinal Bachute

Library Philosophy and Practice (e-journal)

The retrieval of superior-quality photographs with a minimal exposure is an interesting subject in radiography. Pre-processing is a key phase in signal and image processing such as healthcare, telecommunications, and satellite, and it focuses on reducing or eliminating the extent of noise in the image. Denoising aids in the recovery of finer data and relevant material. Medical images including ECG, Ultrasound, CT-scan, and X-ray provide incredibly fine data that has to be precise and noise-free in order for the knowledge and aspects of interest to be retained during diagnosis. Various noise reduction technologies for medical images, such as wavelet transform, …

Boot-Loading Microcontroller Through Serial Port, Siddharth Sameer, Jayshree Ashok Pande

Library Philosophy and Practice (e-journal)

Modern-day automobiles have several Electronic Control Units (ECUs) integrated into them so naturally, compared to the older cars, their complexity is too high, and this trend of increasing complexity in the cars of the future will continue to increase. Consequently, with the increase in the software part in the vehicles, there is always the risk of a potential bug. Whenever a software bug is found, a recall process is required to update the software. The modern ECU update technology is achieved through the interaction of information between the remote server and the end equipment of the vehicle. Therefore, due to …

A Probabilistic Broadcasting Protocols In Mobile Ad Hoc Networks: A Bibliometric Survey, Sumit Kumar, Ayushi Kamboj

Library Philosophy and Practice (e-journal)

Broadcasting in Mobile ad hoc network is very crucial process and if not taken care led to Broadcast storm problem. Several Broadcasting techniques are proposed in the literature, but probabilistic broadcasting is the one the major technique which can really avoid the broadcasting storm problem. The protocols employing probabilistic broadcasting is surveyed in this bibliometric paper. The bibliometric survey aims to throw light on several types of protocols employed in Mobile ad hoc Network. The primary aim of this paper is to assess the amount of work done in the field of Probabilistic Broadcasting in Mobile ad hoc Network, as …

Bibliometric Analysis Of Machine Learning And Text Mining Algorithms For Diagnosis Of Leukemia, Sonali Kothari, Rohanraje Bhosale, Sanket Gadakh, Nikhil Sawant, Vijayshri Khedkar

Library Philosophy and Practice (e-journal)

Bibliometric analysis of leukemia area was carried out using information about publications from Scopus. The most productive journals, countries and authors were determined. The most frequently cited article and its citation history was described. A bibliometric map based on a citation network among countries was constructed.

Mucormycosis (Black Fungus) Maiming Covid Patients: Scientometrics Analysis Through Prism Of Biblioshiny, Sivankalai S, K Sivasekaran

Library Philosophy and Practice (e-journal)

This study analyses the global level outlook of research publications on Mucormycosis output between the period of 1923 to 2021 (May) on different limitations including contribution of authors, communication channel, publications on Institutions, countries, Journals, cited articles and mode of languages. 4451 data was downloaded from core collection of Web of Science bibliographic database using the search term ‘Mucormycosis’ and limited the publications 1900 to 2021, first publication was started in 1923 onwards. 3798 institutions and 8562 different disciplines contributed and 2808 records are in Articles. 4451 records published by 17320 authors and 23552 collaborated authors, documents per author are …

Summer Marine Bacterial Community Composition Of The Western Antarctic Peninsula, Codey Phoun

Master's Projects

The Western Antarctic Peninsula has experienced dramatic warming due to climate change over the last 50 years and the consequences to the marine microbial community are not fully clear. The marine bacterial community are fundamental contributors to biogeochemical cycling of nutrients and minerals in the ocean. Molecular data of bacteria from the surface waters of the Western Antarctic Peninsula are lacking and most existing studies do not capture the annual variation of bacterial community dynamics. In this study, 15 different 16S rRNA gene amplicon samples covering 3 austral summers were processed and analyzed to investigate the marine bacterial community composition …

Clickbait Detection In Youtube Videos, Ruchira Gothankar

Master's Projects

YouTube videos often include captivating descriptions and intriguing thumbnails designed to increase the number of views, and thereby increase the revenue for the person who posted the video. This creates an incentive for people to post clickbait videos, in which the content might deviate significantly from the title, description, or thumbnail. In effect, users are tricked into clicking on clickbait videos. In this research, we consider the challenging problem of detecting clickbait YouTube videos. We experiment with logistic regression, random forests, and multilayer perceptrons, based on a variety of textual features. We obtain a maximum accuracy in excess of 94%.

Differential Gene Expression Analysis Of Mice Thymi After Spaceflight, Roshani Codipilly

Master's Projects

With increases in space travel and a desire to inhabit the moon and Mars comes a pressing need to understand the impact of spaceflight on the body. Some effects are already known, such as reduced cardiac function and bone loss, but one area that needs to be further explored is the immune system. Differential gene expression analysis of mice thymi was performed to determine the impact of spaceflight on the immune system. The dataset that was analyzed, GLDS-289, was obtained from GeneLab, a space-omics database developed by NASA. Differential gene expression analysis was accomplished using a Nextflow implementation of GeneLab’s …

Prediction Of Financial Capacity Using Diffusion Compartment Imaging, Lok Yi Tai

Master's Projects

Financial Capacity (FC) is the ability to manage one’s financial affairs, which is essential for autonomy and independence particularly for aging adults. Since dementia develops gradually, it is often difficult to detect the early signs that this cognitive dysfunction is developing This project aims to use Neurite orientation dispersion and density imaging (NODDI) to identify the white matter tracts that are associated with FC. Diffusion Tensor Images (DTI) and T1 Magnetic Resonance Images (MRI) of 18 Alzheimer’s Disease (AD) subjects, 47 Mild Cognitive Impaired (MCI) subjects, and 193 healthy control (CN) are compared to neuropsychological tests. Orientation Dispersion Index (ODI) …

Qr Code And Its Effectiveness In Library Services, Indrakshi Das Assistant Librarian, Digbijoy Das Assistant Professor

Library Philosophy and Practice (e-journal)

In this study the paper relates to the concept of Quick response (QR Code), and how it works to disseminate information in quick way. The main objective of this paper is to amend the basic concept of QR Code, their structure, advantageous nature and its activities. This research paper mainly focuses on the effectiveness of QR Code & its applications on library services in the present scenario also has discussed other services in which people are dependent during covid19 pandemic and how it placed as a position of successful tool in this technical age.

Fake Malware Opcodes Generation Using Hmm And Different Gan Algorithms, Harshit Trehan

Master's Projects

Malware, or malicious software, is a program that is intended to harm systems. In the past decade, the number of malware attacks have grown and, more importantly, evolved. Many researchers have successfully integrated cutting edge Machine Learning techniques to combat this ever present and growing threat to cyber and information security. One big challenge faced by many researchers is the lack of enough data to train machine learning models and specifically deep neural networks properly. Generative modelling has proven to be very efficient at generating synthesized data that can match the actual data distribution.

In this project, we aim to …

Keystroke Dynamics Based On Machine Learning, Han-Chih Chang

Master's Projects

The development of active and passive biometric authentication and identification technology plays an increasingly important role in cybersecurity. Biometrics that utilize features derived from keystroke dynamics have been studied in this context. Keystroke dynamics can be used to analyze the way that a user types by monitoring various keyboard inputs. Previous work has considered the feasibility of user authentication and classification based on keystroke features. In this research, we analyze a wide variety of machine learning and deep learning models based on keystroke-derived features, we optimize the resulting models, and we compare our results to those obtained in related research. …

Malware Analysis With Auxiliary-Classifier Gan, Rakesh Nagaraju

Master's Projects

A generative adversarial network (GAN) is a powerful machine learning concept where both a generative and discriminative model are trained simultaneously. A recent trend in malware research consists of treating executables as images and employing image-based analysis techniques. In this research, we generate fake malware images using GANs, and we also consider the effectiveness of GANs for malware classification. Specifically, we consider auxiliary classifier GAN (AC-GAN), which enables us to work with multiclass data. We find that AC-GAN generates malware images that cannot be reliably distinguished from real malware images. In addition, we find that the detection capabilities of AC-GAN …

Data Augmentation With Malware As Images, Aditi Walia

Master's Projects

Machine learning and deep learning techniques for malware detection and classifi- cation play an important role in the mitigation of cybersecurity threats. However, such techniques are often limited by a lack of data. Previous research has shown promising classification results by treating malware executables as images. In this research, we consider data augmentation using noise addition, geometric transforma- tions, and Auxiliary Classifier Generative Adversarial Networks (AC-GAN) for data augmentation of malware images. We train convolution neural networks (CNN) to verify that our generated images accurately model the original malware samples.

Fake News Analysis And Graph Classification On A Covid-19 Twitter Dataset, Kriti Gupta

Master's Projects

Earlier researches have showed that the spread of fake news through social media can have a huge impact to society and also to individuals in an extremely negative way. In this work we aim to study the spread of fake news compared to real news in a social network. We do that by performing classical social network analysis to discover various characteristics, and formulate the problem as a binary classification, where we have graphs modeling the spread of fake and real news. For our experiments we rely on how news are propagated through a popular social media services such as …

Hidden Markov Model-Based Clustering For Malware Classification, Shamli Singh

Master's Projects

Automated techniques to classify malware samples into their respective families are critical in cybersecurity. Previously research applied ��-means clustering to scores generated by hidden Markov models (HMM) as a means of dealing with the malware classification problem. In this research, we follow a somewhat similar approach, but instead of using HMMs to generate scores, we directly cluster the HMMs themselves. We obtain good results on a challenging malware dataset.

Overlapping Community Detection In Social Networks, Akshar Panchal

Master's Projects

Social networking sites are important to connect with the world virtually. As the number of users accessing these sites increase, the data and information keeps on increasing. There are communities and groups which are formed virtually based on different factors. We can visualize these communities as networks of users or nodes and the relationships or connections between them as edges. This helps in evaluating and analyzing different factors that influence community formation in such a dense network. Community detection helps in revealing certain characteristics which makes these groups in the network unique and different from one another. We can use …

Computer-Aided Diagnosis Of Low Grade Endometrial Stromal Sarcoma (Lgess), Xinxin Yang

Master's Projects

Low grade endometrial stromal sarcoma (LGESS) is rare form of cancer, account- ing for about 0.2% of all uterine cancer cases. Approximately 75% of LGESS patients are initially misdiagnosed with leiomyoma, which is a type of benign tumor that is also known as fibroids. In this research, uterine tissue biopsy images of potential LGESS patients are preprocessed using segmentation and staining normalization algorithms. A wide variety of classic machine learning and leading deep learning models are then applied to classify tissue images as either benign or cancerous. For classic techniques, the highest classification accuracy we attain is 85%, while our …

Classifying Illegal Advertisements On The Darknet Using Nlp, Karan Shashin Shah

Master's Projects

The Darknet has become a place to conduct various illegal activities like child labor, contract murder, drug selling while staying anonymous. Traditionally, international and government agencies try to control these activities, but most of those actions are manual and time-consuming. Recently, various researchers developed Machine Learning (ML) approaches trying to aid in the process of detecting illegal activities. The above problem can benefit by using different Natural Language Processing (NLP) techniques. More specifically, researchers have used various classical topic modeling techniques like bag of words, N-grams, Term Frequency, Term Frequency Inverse Document Frequency (TF-IDF) to represent features and train machine …

Keystroke Dynamics For User Authentication With Fixed And Free Text, Jianwei Li

Master's Projects

YouTube videos often include captivating descriptions and intriguing thumbnails designed to increase the number of views, and thereby increase the revenue for the person who posted the video. This creates an incentive for people to post clickbait videos, in which the content might deviate significantly from the title, description, or thumbnail. In effect, users are tricked into clicking on clickbait videos. In this research, we consider the challenging problem of detecting clickbait YouTube videos. We experiment with multiple state of the art machine learning techniques and a variety of textual features.

Cyberbullying Classification Based On Social Network Analysis, Anqi Wang

Master's Projects

With the popularity of social media platforms such as Facebook, Twitter, and Instagram, people widely share their opinions and comments over the Internet. Exten- sive use of social media has also caused a lot of problems. A representative problem is Cyberbullying, which is a serious social problem, mostly among teenagers. Cyber- bullying occurs when a social media user posts aggressive words or phrases to harass other users, and that leads to negatively affects on their mental and social well-being. Additionally, it may ruin the reputation of that media. We are considering the problem of detecting posts that are aggressive. Moreover, …