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Full-Text Articles in Physical Sciences and Mathematics

Untraining Gender Bias: An Eye-Tracking Study, Ripujit S. Bamrah Jan 2023

Untraining Gender Bias: An Eye-Tracking Study, Ripujit S. Bamrah

Master's Projects

In recent years, social cognitive theory has emphasized the role of cognitive processes in shaping perceptions and behavior related to gender bias. By examining the impact of targeted training interventions, this study seeks to better understand the influence of such processes on decision-making in the context of character selection. This human-computer interaction study explores the potential of intervention-based training to untraining gender bias in character selection. With an increasing need to address gender bias in various domains, understanding the impact of gender-based training becomes crucial. According to our hypothesis, exposure to masculine characters would boost people’s preference for female- intellectualized …


Bias Detector Tool For Face Datasets Using Image Recognition, Jatin Vamshi Battu Jan 2023

Bias Detector Tool For Face Datasets Using Image Recognition, Jatin Vamshi Battu

Master's Projects

Computer Vision has been quickly transforming the way we live and work. One of its sub- domains, i.e., Facial Recognition has also been advancing at a rapid pace. However, the development of machine learning models that power these systems has been marred by social biases, which open the door to various societal issues. The objective of this project is to address these issues and ensure that computer vision systems are unbiased and fair to all individuals. To achieve this, we have created a web tool that uses three image classifiers (implemented using CNNs) to classify images into categories based on …


Video Sign Language Recognition Using Pose Extraction And Deep Learning Models, Shayla Luong Jan 2023

Video Sign Language Recognition Using Pose Extraction And Deep Learning Models, Shayla Luong

Master's Projects

Sign language recognition (SLR) has long been a studied subject and research field within the Computer Vision domain. Appearance-based and pose-based approaches are two ways to tackle SLR tasks. Various models from traditional to current state-of-the-art including HOG-based features, Convolutional Neural Network, Recurrent Neural Network, Transformer, and Graph Convolutional Network have been utilized to tackle the area of SLR. While classifying alphabet letters in sign language has shown high accuracy rates, recognizing words presents its set of difficulties including the large vocabulary size, the subtleties in body motions and hand orientations, and regional dialects and variations. The emergence of deep …


Eye Movements Behaviors In A Driving Simulator During Simple And Complex Distractions, Pradeep Narayana Jan 2023

Eye Movements Behaviors In A Driving Simulator During Simple And Complex Distractions, Pradeep Narayana

Master's Projects

Road accidents occur frequently due to driving distractions all around the world. A driving simulator has been created to explore the cognitive effects of distractions while driving in order to address this problem. The purpose of this study is to discover the distraction-causing elements and how they affect driving performance. The simulator offers a secure and regulated setting for carrying out tests while being distracted by different visual distractions, such as solving mathematical equations and number memorizations.

Several trials have been conducted in the studies, which were carried out under varied circumstances like varying driving sceneries and by displaying different …


Enhancing Facial Emotion Recognition Using Image Processing With Cnn, Sourabh Deokar Jan 2023

Enhancing Facial Emotion Recognition Using Image Processing With Cnn, Sourabh Deokar

Master's Projects

Facial expression recognition (FER) has been a challenging task in computer vision for decades. With recent advancements in deep learning, convolutional neural networks (CNNs) have shown promising results in this field. However, the accuracy of FER using CNNs heavily relies on the quality of the input images and the size of the dataset. Moreover, even in pictures of the same person with the same expression, brightness, backdrop, and stance might change. These variations are emphasized when comparing pictures of individuals with varying ethnic backgrounds and facial features, which makes it challenging for deep-learning models to classify. In this paper, we …


3d Ar Reconstruction, Sneh Arvind Kothari Jan 2023

3d Ar Reconstruction, Sneh Arvind Kothari

Master's Projects

The goal of the project is to improve the shopping experience for users by using augmented reality technology. People generally want opinions from others when buying shoes offline. Clicking and sending images of a shoe is not an ideal solution as it does not give the complete feel of the shoe. We developed the 3D AR Reconstruction app to make this process better. A user of our app clicks photos of the shoe. This image data is converted to form a mesh that can be shared. On receiving a model the user can open it in the app and interact …


Driving Simulator : Driving Performance Under Distraction, Kaushik Pilligundla Jan 2023

Driving Simulator : Driving Performance Under Distraction, Kaushik Pilligundla

Master's Projects

This pilot study used a driving simulator experiment to look into how podcast consumption affects driving performance as a continuous distraction. Three volunteers conducted three trials in the study, each with a different driving scenario. Data analysis was done to compare two conditions. The first condition is the Audio, where volunteers listen to podcasts while driving. The second condition is no-audio condition.. The no-audi condition had nothing to play in the background. We used eye-tracking technology to gather gaze data. The study's findings using the post survey and eye fixation data indicate that listening to podcasts leads to continuous distraction …


Evaluation Of Gpu Acceleration For Wrf–Sfire, Joshua Benz Dec 2021

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 …


Markdown To Question & Test Interoperability, Su Kim Dec 2021

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 …


A Hybrid Gaze Pointer With Voice Control, Indhuja Ravi May 2021

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. …


Video Synthesis From The Stylegan Latent Space, Lei Zhang May 2020

Video Synthesis From The Stylegan Latent Space, Lei Zhang

Master's Projects

Generative models have shown impressive results in generating synthetic images. However, video synthesis is still difficult to achieve, even for these generative models. The best videos that generative models can currently create are a few seconds long, distorted, and low resolution. For this project, I propose and implement a model to synthesize videos at 1024x1024x32 resolution that include human facial expressions by using static images generated from a Generative Adversarial Network trained on the human facial images. To the best of my knowledge, this is the first work that generates realistic videos that are larger than 256x256 resolution from single …


Yoda – Your Only Design Assistant, Siddharth Kulkarni May 2019

Yoda – Your Only Design Assistant, Siddharth Kulkarni

Master's Projects

Converting user interface designs created by graphic designers into computer code is a typical job of a front end engineer in order to develop functional web and mobile applications. This conversion process can often be extremely tedious, slow and prone to human error. In this project, deep learning based object detection along with optical character recognition is used to generate platform ready prototypes directly from design sketches. Also, a new design language is introduced to facilitate expressive prototyping and allowing the creation of more expressive and functional designs. It is observed that the AI powered application along with modern web …


Smartphone Gesture-Based Authentication, Preethi Sundaravaradhan May 2019

Smartphone Gesture-Based Authentication, Preethi Sundaravaradhan

Master's Projects

In this research, we consider the problem of authentication on a smartphone based on gestures, that is, movements of the phone. Accelerometer data from a number of subjects was collected and we analyze this data using a variety of machine learning techniques, including support vector machines (SVM) and convolutional neural networks (CNN). We analyze both the fraud rate (or false accept rate) and insult rate (or false reject rate) in each case.


Handling Relationships In A Wiki System, Yashi Kamboj Dec 2016

Handling Relationships In A Wiki System, Yashi Kamboj

Master's Projects

Wiki software enables users to manage content on the web, and create or edit web pages freely. Most wiki systems support the creation of hyperlinks on pages and have a simple text syntax for page formatting. A common, more advanced feature is to allow pages to be grouped together as categories. Currently, wiki systems support categorization of pages in a very traditional way by specifying whether a wiki page belongs to a category or not. Categorization represents unary relationship and is not sufficient to represent n-ary relationships, those involving links between multiple wiki pages.

In this project, we extend Yioop, …


Web-Based Integrated Development Environment, Hien T. Vu Dec 2016

Web-Based Integrated Development Environment, Hien T. Vu

Master's Projects

As tablets become more powerful and more economical, students are attracted to them and are moving away from desktops and laptops. Their compact size and easy to use Graphical User Interface (GUI) reduce the learning and adoption barriers for new users. This also changes the environment in which undergraduate Computer Science students learn how to program. Popular Integrated Development Environments (IDE) such as Eclipse and NetBeans require disk space for local installations as well as an external compiler. These requirements cannot be met by current tablets and thus drive the need for a web-based IDE. There are also many other …


A Content-Sensitive Wiki Help System, Eswara Satya Pavan Rajesh Pinapala Dec 2014

A Content-Sensitive Wiki Help System, Eswara Satya Pavan Rajesh Pinapala

Master's Projects

Context-sensitive help is a software application component that enables users to open help pertaining to their state, location, or the action they are performing within the software. Context-sensitive “wiki” help, on the other hand, is help powered by a wiki system with all the features of context-sensitive help. A context-sensitive wiki help system aims to make the context-sensitive help collaborative; in addition to seeking help, users can directly contribute to the help system. I have implemented a context-sensitive wiki help system into Yioop, an open source search engine and software portal created by Dr. Chris Pollett, in order to measure …


Web-Based Ide To Create Model And Controller Components For Mvc-Based Web Applications On Cakephp, Sugiharto Widjaja Dec 2010

Web-Based Ide To Create Model And Controller Components For Mvc-Based Web Applications On Cakephp, Sugiharto Widjaja

Master's Projects

A Web-based IDE that allows users to easily manage Model and Controller components of a CakePHP web application was developed. With this IDE, users are able to manage the model and controller components without having to write very much PHP code. They are able to create new model components without having to worry about creating the database tables for the models as the IDE creates them automatically. The IDE offers a simple interface for users to edit the schema of their models. Users can add or delete data from their models without dealing with the SQL insert/delete statements. The IDE …


View Component Of Web-Based Ide To Develop Web Applications In Cakephp, Swathi Vegesna Dec 2010

View Component Of Web-Based Ide To Develop Web Applications In Cakephp, Swathi Vegesna

Master's Projects

The aim of the project is to build a Web-based IDE (Integrated Development Environment) that enables users to create a Web application in PHP on the CakePHP framework. The view component of the IDE allows the users to build the CakePHP view templates, which include the HTML tags which can be properly linked with the controller functions. Users will be able to create the HTML form elements only by performing certain drags, drops and clicks. This project will create dynamic view elements, which is achieved by connecting them to the Controllers components. This IDE helps the users to create dynamic …


One Social, Sowmya Sampath Dec 2010

One Social, Sowmya Sampath

Master's Projects

Facebook streams and Twitter tweets represent user content in two common social media systems. Users often have accounts on both these systems and to keep their content current for both of them they must update each separately. It is thus difficult to manage and maintain both of these social networks together. The goal of this project is to build a social website called One Social, where users can view their Facebook streams and Twitter tweets in one single view and thereby easily organize and maintain their updates. In One Social, users can enter a status message and can share it …


Web-Based Ide For Interfacing View Controller, Tejasvi Palvai Dec 2010

Web-Based Ide For Interfacing View Controller, Tejasvi Palvai

Master's Projects

The main idea of this project is to develop a web-based IDE, which helps users to avoid installing or configuring the Desktop IDE. It also enables users to create XHTML pages using the drag and drop mechanism in Struts. Struts extends the Java Servlet API to encourage developers to adopt the MVC (Model-View- Controller) architecture. In this project, a web application for interfacing the view and controller parts of the MVC architecture was developed. This web-based IDE connects the View and Controller components when the user drags and drops HTML elements in the UI of the IDE. With this project, …