Digital Commons Network^™

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 …

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 …

Teaching Through A Pandemic: Classes Of Khallikote University Go On Air And Online, Raj Kishor Kampa Dr

Library Philosophy and Practice (e-journal)

As the Covid-19 pandemic has disrupted the education sector and the long lockdown has closed schools, colleges and universities in India since March 2020, the paper tries to explore the possibilities of adopting synchronous and asynchronous learning methods to teach the students of Khallikote University Berhampur India during the lockdown period. Moreover, paper discusses how the open source learning management system (LMS) Moodle can be leveraged as a tool in delivering effective asynchronous learning in higher educational institutions. This paper describes how Elearning@KUB platform for Khallikote University is designed, developed and implemented using Moodle, wherein students can access to study …

Sound In Video Games: How Sound Is An Important Aspect Of The Virtual Experience, James Boen

ART 108: Introduction to Games Studies

This paper will take the form of an analysis, with video games as the medium/text that will be analysed. Although analysis is typically reserved for poems, books, short stories, or plays, video games are simply a form of conveying ideas and a form of text that is representative of the 21st century. Video games is a rare medium that has an interactive element, which can alter/enhance the experience an audience member can have, even if there were the same audio/visual components in a film or play. In most forms of media with an audio component, the analysis is done by …

A Hybrid Gaze Pointer With Voice Control, Indhuja Ravi

Master's Projects

Accessibility in technology has been a challenge since the beginning of the 1800s. Starting with building typewriters for the blind by Pellegrino Turri to the on-screen keyboard built by Microsoft, there have been several advancements towards assistive technologies. The basic tools necessary for anyone to operate a computer are to be able to navigate the device, input information, and perceive the output. All these three categories have been undergoing tremendous advancements over the years. Especially, with the internet boom, it has now become a necessity to point onto a computer screen. This has somewhat attracted research into this particular area. …

Using Oracle To Solve Zookeeper On Two-Replica Problems, Ching-Chan Lee

Master's Projects

The project introduces an Oracle, a failure detector, in Apache ZooKeeper and makes it fault-tolerant in a two-node system. The project demonstrates the Oracle authorizes the primary process to maintain the liveness when the majority’s rule becomes an obstacle to continue Apache ZooKeeper service. In addition to the property of accuracy and completeness from Chandra et al.’s research, the project proposes the property of see to avoid losing transactions and the property of mutual exclusion to avoid split-brain issues. The hybrid properties render not only more sounder flexibility in the implementation but also stronger guarantees on safety. Thus, the Oracle …

American Sign Language Assistant, Charulata Lodha

Master's Projects

Our implementation of a prototype computer vision system to help the deaf and mute
communicate in a shopping setting. Our system uses live video feeds to recognize American Sign Language (ASL) gestures and notify shop clerks of deaf and mute patrons’ intents. It generates a video dataset in the Unity Game Engine of 3D humanoid models in a shop setting performing ASL signs. Our system uses OpenPose to detect and recognize the bone points of the human body
from the live feed. The system then represents the motion sequences as high dimensional skeleton joint point trajectories followed by a time-warping …

Visual And Lingual Emotion Recognition Using Deep Learning Techniques, Akshay Kajale

Master's Projects

Emotion recognition has been an integral part of many applications like video games, cognitive computing, and human computer interaction. Emotion can be recognized by many sources including speech, facial expressions, hand gestures and textual attributes. We have developed a prototype emotion recognition system using computer vision and natural language processing techniques. Our goal hybrid system uses mobile camera frames and features abstracted from speech named Mel Frequency Cepstral Coefficient (MFCC) to recognize the emotion of a person. To acknowledge the emotions based on facial expressions, we have developed a Convolutional Neural Network (CNN) model, which has an accuracy of 68%. …

Translating Natural Language Queries To Sparql, Shreya Satish Bhajikhaye

Master's Projects

The Semantic Web is an extensive knowledge base that contains facts in the form of RDF
triples. These facts are not easily accessible to the average user because to use them requires
an understanding of ontologies and a query language like SPARQL. Question answering systems
form a layer of abstraction on linked data to overcome these issues. These systems allow the
user to input a question in a natural language and receive the equivalent SPARQL query. The
user can then execute the query on the database to fetch the desired results. The standard
techniques involved in translating natural language questions …

Detecting And Predicting Visual Affordance Of Objects In A Given Environment, Bhumika Kaur Matharu

Master's Projects

The rapid growth of the development of autonomous robots is transforming the manufacturing and healthcare industry in many ways, but they still face many challenges. One of the challenges experienced by autonomous robots is their inability to manipulate an unknown object without human supervision. One way through which autonomous robots can manipulate an unknown object is affordance learning [1]. Affordance describes the action a user can perform on the object in given surroundings. This report describes our proposed model to detect and predict the affordance of an object from videos by leveraging the spatial-temporal feature extraction through ConvLSTM and Fully …

Defending Vehicles Against Cyberthreats: Challenges And A Detection-Based Solution, Qilin Liu

Master's Projects

The lack of concern with security when vehicular network protocols were designed some thirty years ago is about to take its toll as vehicles become more connected and smart. Today as demands for more functionality and connectivity on vehicles continue to grow, a plethora of Electronic Control Units (ECUs) that are able to communicate to external networks are added to the automobile networks. The proliferation of ECU and the increasing autonomy level give drivers more control over their vehicles and make driving easier, but at the same time they expand the attack surface, bringing more vulnerabilities to vehicles that might …

Machine Learning Using Serverless Computing, Vidish Naik

Master's Projects

Machine learning has been trending in the domain of computer science for quite some time. Newer and newer models and techniques are being developed every day. The adoption of cloud computing has only expedited the process of training machine learning. With its variety of services, cloud computing provides many options for training machine learning models. Leveraging these services is up to the user. Serverless computing is an important service offered by cloud service providers. It is useful for short tasks that are event-driven or periodic. Machine learning training can be divided into short tasks or batches to take advantage of …

Automating Text Encapsulation Using Deep Learning, Anket Sah

Master's Projects

Data is an important aspect in any form be it communication, reviews, news articles, social media data, machine or real-time data. With the emergence of Covid-19, a pandemic seen like no other in recent times, information is being poured in from all directions on the internet. At times it is overwhelming to determine which data to read and follow. Another crucial aspect is separating factual data from distorted data that is being circulated widely. The title or short description of this data can play a key role. Many times, these descriptions can deceive a user with unwanted information. The user …

Has Excessive Violence In Video Games Gone Too Far?, Kyra Sycip

ART 108: Introduction to Games Studies

Numerous case studies and published research have led many gamers and non-gamers to wonder whether the excessive loads of violence found in video games is truly necessary for “fun” gameplay and entertainment. Controversies have been arising within famous video games such as the Grand Theft Auto series, Call Of Duty: Modern Warfare 2, and Six Days in Fallujah. These three games have been the subject of numerous present day debates and have sparked many arguments within the gaming community. As well as the debate of whether these games are indeed harmful to the player’s psychology and nature has yet to …

A Bibliometric Analysis Of Face Presentation Attacks Based On Domain Adaptation, Smita C. Khairnar, Shilpa Shailesh Gite Dr., Sudeep D. Thepade Dr.

Library Philosophy and Practice (e-journal)

Background: This research aims to look into the work that has been done on Face Presentation attacks and detection with domain adaptation techniques from 2011 to 2021 utilizing bibliography methods.

Approaches: Diverse research articles on Face Presentation Attacks were retrieved using the two most popular databases Web of Science & Scopus. Research articles consider between 2011-2021. Some research results, such as documents by year, documents by source, documents by funding agencies, countries, etc are obtained using Web of Science and Scopus Analyzers. The analysis is performed using Vos Viewer version 1.6.16 and various parameters such as keywords, co-authorship, co-occurrences, citation …

Fiqh On Finance: A Scientometric Analysis Using Bibliometrix, Aam Slamet Rusydiana, Aisyah As-Salafiyah, Yulizar Djamaluddin Sanrego, Lina Marlina

Library Philosophy and Practice (e-journal)

This study aims to determine the development and trend map of fiqh on finance published by Scopus-indexed journals in the theme of Islamic economics and finance. The data analyzed were 547 publications of document publications. The export data is then processed and analyzed using the R Bibliometrix application program to find out the bibliometric map of the fiqh on finance research development. The results showed that the number of publications on fiqh’s theme on finance experienced a significant increase. The results show that the most popular journal is the International Journal of Islamic and Middle Eastern Finance …

The Influence Of Data Mining In Increasing Benefits Of Libraries In Jordanian Governmental Universities, Mohammad Niqresh

Library Philosophy and Practice (e-journal)

This current study aimed at examining the impact of data mining on increasing benefits of university library in Jordanian governmental university. Researcher adopted techniques of data mining which included (Association, Classification, Clustering, Prediction, Sequential Patterns and Decision Trees). Through employing the quantitative approach and utilizing a questionnaire as a study tool, (412) responded to an online survey which primary data later on was screened and processed using SPSS v. 27^th. Results of study accepted the main hypothesis as there appeared an influence of data mining in better organization flow and accumulation of library data and better develop library's …

How This War Of Mine Creates Empathy For Virtual Characters, Cole Pergerson

ART 108: Introduction to Games Studies

Is it possible to empathize with virtual characters? Are game characters just a means for game and story progress or can we develop a strong emotional connection with them? In this research essay, I analysis This War of Mine, a game about surviving a worn torn city where food is limited, and the player must make difficult moral decisions survive. The player controls a small group of characters who all need to be feed, get enough sleep, may need medical care, and other human needs. To look how This War of Mine creates empathy for the virtual characters, I will …

Human/Artificial Intelligence Coordination In Video Games, Michael Rodriguez

ART 108: Introduction to Games Studies

The emergence of video games has led to widespread inventions to enhance the reality of the experience. As a result, Artificial Intelligence (A.I.) was developed to create virtual experiences and attract a variety of players of video games. This paper will discuss video games in the context of Human-A.I. interaction and the importance of human coordination in video games. Unprecedented errors have been a common challenge in this relationship. An excellent example of these algorithms include population-based training and self-play, which have gained a lot of interest in video games. A.I. technology has surpassed human ability because they are simply …

Authorship Pattern And Growth Of Scholar Contributions Of The M S University Of Baroda: Using Scopus Database, Dr.Ranjita Niladri Dash, Ashok S Chaudhary

Library Philosophy and Practice (e-journal)

The present paper deals with the analysis of publications of The M S University of Baroda (MSU) that appeared in the SCOPUS database. For authorship pattern and subject-wise distribution study, MSU data has been used from the year 2016 to the end of the year 2020. A total of 1698 data has been downloaded and analyzed according to objectives. The study reveals that the growth of literature follows the exponential growth pattern, journal articles are the most published form of literature (75.15%), AIP Conference Proceedings and Chemistry Select are top journals, The M S University of Baroda and Sardar Patel …

Real-Time Monitoring Of Fdm 3d Printer For Fault Detection Using Machine Learning: A Bibliometric Study, Vaibhav Kisan Kadam, Satish Kumar, Arunkumar Bongale

Library Philosophy and Practice (e-journal)

Additive Manufacturing has wide application range including healthcare, Fashion, Manufacturing, Prototypes, Tooling etc. AM techniques are subjected to various defects that may be printing defects or anomalies in machine. There is gap between current AM techniques and smart manufacturing since current AM lacks in build sensors necessary for process monitoring and fault detection. Both of these issues can be solved by incorporating real-time monitoring into AM. So the study is carried out to identify recent work done in AM to improve current system. For this bibliometric study Scopus database is used, study is kept limited to year 2010-2021 and English …

Assessing Convolutional Neural Network Animal Classification Models For Practical Applications In Wildlife Conservation, Julia Larson

Master's Theses

Convolution neural network models (CNNs) can successfully identify animal species in camera-trap images in simplified testing environments. CNN performance in more complex, realistic environments is understudied. Here the Wellington Camera Traps dataset was used to simulate a wildlife conservation project to detect invasive species at low population levels using camera-trap images and CNN models. Ten CNNs were developed and analyzed with seven testing datasets, simulating 13 possible project scenarios. Model performance was measured using standard computer science metrics, top-1, and top-5 accuracy, and two novel performance metrics developed for this research to directly reflect wildlife conservation goals, false alarm rate, …

Physics-Based Modeling Of Phase-Change Memory Devices And Materials, Johan Saltin

Master's Theses

Artificial intelligence (AI) has become a key enabler in many applications but requires fast and energy-efficient computation. IBM is exploring an “Analog AI" acceleration approach using phase change memories (PCM). As such, there is a need to accurately model the physics inside each PCM cell, including the interplay between thermal and electrical dynamics, and the impact of PCM polycrystal grains and grain boundaries in materials such as Ge2Sb2Te5. The thesis uses an existing thermo electrodynamic Technology Computer-Aided Design (TCAD), which was created at IBM, to simulate the intermediate resistance states critical to the “Analog AI" application. The thesis discusses the …

Observational Analysis And Modeling Of The "B" Regional Dust Storm On Mars, Courtney Marylou Batterson

Master's Theses

The annually-recurring, regional B storm on Mars occurs at the highest southernlatitudes in years lacking a global dust storm (GDS), and produces warm temperatures (> 200 K) at 50 Pa over the south pole. Observations of the B storm are limited due to the lack of in-situ data in the polar regions of Mars, and reproducing polar phenomena using traditional latitude-longitude grid models is difficult because of the increasingly small grid spacing at the poles. The development of the new NASA Ames Mars Global Climate Model (MGCM), which has a finite-volume dynamical core, a uniform cubed-sphere grid, and several of …

The Effects Of Academic Performance, Demographic Characteristics, Work, And Personal Experiences On Admissions To A Clinical Laboratory Science Training Program, Mara Williams

Dissertations

In this study, I sought to discover factors that contributed to candidate success in gaining admission to the San Jose State University Clinical Laboratory Scientist (CLS) Training Program. Social Cognitive Career Theory suggests that the interplay between an individual’s personal characteristics and life experiences lead to self-efficacy expectations, learning experiences, and goal setting which crystalizes their choice of career. To understand these phenomena in the context of CLS candidates, I used quantitative methods to explore the influence of race, gender, age, work, and personal experience on the probability of a candidate gaining an interview or placing for clinical internship in …

The Effectiveness Of California's System Of Support: Dashboard And Differentiated Assistance, As Perceived By County Office Of Education, Court And Community School Administrators, Jennifer Izant Gonzales

Dissertations

The purpose of this study was to: (1) describe the perceptions of County Office of Education Court and Community School administrators on the accuracy of the California Dashboard/Dashboard Alternative School Status; (2) describe the perceptions of County Office of Education Court and Community School administrators about the efficacy of California’s System of Support, specifically Differentiated Assistance, on impacting equity-focused change in California County Office of Education Court and Community Schools; and (2a) describe the most impactful actions taken by County Office of Education Court and Community Schools related to California’s System of Support. This study was conducted using an integrated …

Unresolved Issue In Education: Disproportionate Disciplining Of Hispanic Students In Education, Richard Ruiz

Dissertations

The disproportionate disciplining of Hispanic students has been a reoccurring issue that has persisted for decades. With the rising Hispanic populations nationwide and in the state of California, this issue must be addressed. Therefore, to contribute to the scholarship of this phenomenon, the author critically examined teacher and administrator perceptions and attitudes about students who embody a stereotypical urban street subculture. The purpose of this convergent parallel mixed-methods study was to examine the interplay of race, cultural capital, community, and communication, with the disproportionate disciplining of Hispanic students in schools where they are a minority population. The findings of this …

Review On Islamic Social Reporting (Isr) Research, Muhammad Syafii Antonio, Aam Slamet Rusydiana, Irman Firmansyah

Library Philosophy and Practice (e-journal)

This study aims to determine the development and trend map of Islamic Social Reporting (ISR) outbreak research that is published by a reputable journal in the theme of Islamic economics and finance. The data analyzed were more than 91 publications of Scopus indexed publications. The export data is then processed and analyzed using the R Biblioshiny application program to find out the bibliometric map of the development of Islamic Social Reporting research. The results showed that the number of publications on the development of Islamic Social Reporting research experienced a significant increase. The results show that the highest number …

Bibliometric Analysis Of Publication Trends In Sri Ramakrishna Mission Vidyalaya College Of Arts And Science (Srmvcas), Kalimuthu K Research Scholar, Dr.Krishnadas N Librarian

Library Philosophy and Practice (e-journal)

The present study examines the Bibliometric Analysis of Publication Trends in Sri Ramakrishna Mission Vidyalaya College of Arts and Science (SRMVCAS) during 2001-2020 using the Scopus database. Its goal is to look at how SRMVCAS’s research activity has grown and developed as evidenced by its publication output. A total of 740 records have been obtained and studied in accordance with the goals. During the study period, more articles published in 2017 and 2020 with 83 (11.22%) articles and the highest number of papers published in Optik journal (59) and ranked first. Researchers are interested in joint authorship rather than solo …

A Brief Bibliometric Survey On Microstrip Antennas For Machine-To-Machine (M2m) Communication In Smart Cities, Vardaan Saproo, Stuti Choudhary, Smriti Priya, Seepja Payasi, Sanjeev Kumar, Priyanka Tupe-Waghmare

Library Philosophy and Practice (e-journal)

Stupendous progress in heterogeneous communication technologies has allowed smart city gadgets to communicate with one another. However, these communication technologies are not able to offer the connectivity that is needed in smart cities because of the coexistence of hundreds and thousands of devices, which leads to various problems like, high energy consumption, interoperability support among the heterogeneous wireless networks, interference management, scalable wireless solutions, and mobility management. Machine-to-Machine (M2M) communication is one of the key enablers for advanced applications and services. The aim of this bibliometric review is to understand the extent of the existing literature for the area of …