Graphics and Human Computer Interfaces Commons^™

Discrete Information Object Analysis Of Primary Flight Display Clutter, Kenneth Ward

National Training Aircraft Symposium (NTAS)

Modern aircraft utilize digital display screens to provide critical flight and system status information to pilots. As computing power has increased, the number of data sources and information presented has also increased, with the goal of increasing situational awareness. However, the display can become cluttered with extraneous or irrelevant information, to the detriment of pilot cognitive workload. Pilot perceptions of clutter vary with flight experience, introducing unique considerations in the flight training environment, given the experience difference between instructors and students. Researchers have studied the problem, identifying both the number of visual objects and information density as predictors of perception ...

Teaching Landscape Construction Using Augmented Reality, Arshdeep Singh

All Graduate Theses and Dissertations

This thesis describes the design, development, and evaluation of an interactive Microsoft HoloLens application that projects landscape models in Augmented Reality. The application was developed using the Unity framework and 3D models created in Sketchup. Using the application, students can not only visualize the models in real space but can also interact with the models using gestures. The students can interact with the models using gaze and air-tap gestures.

Application testing was conducted with 21 students from the Landscape Architecture and Environmental Planning department at Utah State University. To evaluate the application, students completed a usability survey after using the ...

Theatrical Genre Prediction Using Social Network Metrics, Manisha Shukla

Theses and Dissertations

With the emergence of digitization, large text corpora are now available online that provide humanities scholars an opportunity to perform literary analysis leveraging the use of computational techniques. This work is focused on applying network theory concepts in the field of literature to explore correlations between the mathematical properties of the social networks of plays and the plays’ dramatic genre, specifically how well social network metrics can identify genre without taking vocabulary into consideration. Almost no work has been done to study the ability of mathematical properties of network graphs to predict literary features. We generated character interaction networks of ...

Leveraging Tiled Display For Big Data Visualization Using D3.Js, Ujjwal Acharya

Boise State University Theses and Dissertations

Data visualization has proven effective at detecting patterns and drawing inferences from raw data by transforming it into visual representations. As data grows large, visualizing it faces two major challenges: 1) limited resolution i.e. a screen is limited to a few million pixels but the data can have a billion data points, and 2) computational load i.e. processing of this data becomes computationally challenging for a single node system. This work addresses both of these issues for efficient big data visualization. In the developed system, a High Pixel Density and Large Format display was used enabling the display ...

Haptic Alternatives For Mobile Device Authentication By Older Technology Users, David M. Cook, Kulwinder Kaur

Dr. David M Cook

The Efficacy Of Using Virtual Reality For Job Interviews And Its Effects On Mitigating Discrimination, David M. Cook, Rico Beti, Faris Al-Khatib

Dr. David M Cook

Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran

The International Student Science Fair 2018

Music is observed to possess significant beneficial effects to human mental health, especially for patients undergoing therapy and older adults. Prior research focusing on machine recognition of the emotion music induces by classifying low-level music features has utilized subjective annotation to label data for classification. We validate this approach by using an electroencephalography-based approach to cross-check the predictions of music emotion made with the predictions from low-level music feature data as well as collected subjective annotation data. Collecting 8-channel EEG data from 10 participants listening to segments of 40 songs from 5 different genres, we obtain a subject-independent classification accuracy ...

Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran

The International Student Science Fair 2018

Music is observed to possess significant beneficial effects to human mental health, especially for patients undergoing therapy and older adults. Prior research focusing on machine recognition of the emotion music induces by classifying low-level music features has utilized subjective annotation to label data for classification. We validate this approach by using an electroencephalography-based approach to cross-check the predictions of music emotion made with the predictions from low-level music feature data as well as collected subjective annotation data. Collecting 8-channel EEG data from 10 participants listening to segments of 40 songs from 5 different genres, we obtain a subject-independent classification accuracy ...

Raymarching The Mandelbulb Fractal In Vr, Timotheus Alexander Letz

Computer Engineering

Elaborate 3D fractals, such as the mandelbulb, offer fascinating depths and structures that bear self-similarity as one zooms in closer and closer. Traditional rendering techniques focus on pre-rendering the fractal, to bypass the need for real-time display. To display and explore the mandelbulb in VR, this real-time display is needed, and can be provided through the use of “Raymarching”, a technique that allows for the rendering of scenes within the GPU. This paper explores various techniques and systems used to provide, augment, and accelerate this process.

2018 Ieee Signal Processing Cup: Forensic Camera Model Identification Challenge, Michael Geiger

Honors Theses

The goal of this Senior Capstone Project was to lead Union College’s first ever Signal Processing Cup Team to compete in IEEE’s 2018 Signal Processing Cup Competition. This year’s competition was a forensic camera model identification challenge and was divided into two separate stages of competition: Open Competition and Final Competition. Participation in the Open Competition was open to any teams of undergraduate students, but the Final Competition was only open to the three finalists from Open Competition and is scheduled to be held at ICASSP 2018 in Calgary, Alberta, Canada. Teams that make it to the ...

Jupyterlab_Voyager: A Data Visualization Enhancement In Jupyterlab, Ji Zhang

Master's Theses and Project Reports

With the emergence of big data, scientific data analysis and visualization (DAV) tools are critical components of the data science software ecosystem; the usability of these tools is becoming extremely important to facilitate next-generation scientific discoveries. JupyterLab has been considered as one of the best polyglot, web-based, open-source data science tools. As the next phase of extensible interface for the classic iPython Notebooks, this tool supports interactive data science and scientific computing across multiple programming languages with great performances. Despite these advantages, previous heuristics evaluation studies have shown that JupyterLab has some significant flaws in the data visualization side. The ...

Rcon Administration Tool Designed For Use With Garry’S Mod And Source Servers, John Gibbons

Mathematics and Computer Science Capstones

The proposed project is an Android application designed to interact with the Source RCON protocol. Defined below: The Source RCON Protocol is a TCP/IP-based communication protocol used by Source Dedicated Server, which allows console commands to be issued to the server via a "remote console", or RCON. The most common use of RCON is to allow server owners to control their game servers without direct access to the machine the server is running on. In order for commands to be accepted, the connection must first be authenticated using the server's RCON password, which can be set using the ...

Understanding The Importance Of Ferpa & Data Protection In Higher Education. An Application: Website At La Salle University, Robert Frank, Lynne Wagner

Mathematics and Computer Science Capstones

Personal data protection is a paramount conversation globally. The higher education industry is abundant in varying types of highly sensitive information; the security of this data is critical, requiring all stakeholders be educated and aware of the standards and best practice securing it. This project’s main outcome is to conduct in-depth research on personal data protection regulations within higher education and the development of an example educational webpage for the La Salle University community relating to policy, practice, and procedures of the Family Educational Rights and Privacy Act (FERPA).

The Mission of La Salle University affirms a community commitment ...

A Critical Analysis Of Mystery In Videogames, Ali Alkhafaji

College of Computing and Digital Media Dissertations

Historically, videogame research has focused on how different videogame attributes (like challenge, fantasy, control, goals, etc.) impact the player experience. This type of research is important because it can provide insight into how to design more enjoyable videogames. However, very little exists within the current literature that focuses on mystery and its impact on the player experience. This dissertation is concerned with providing the research community with a better understanding of how mystery manifests in videogames and consequently impacts the player experience, specifically curiosity and motivation. To this end, the research questions are: 1. How do players experience mystery in ...

Designing Smart Applications Using Ar (Augmented Reality), Kimberly A. De La Santa

Publications and Research

Augmented Reality is rapidly developing in popularity because it brings elements of the virtual world, into our real world. Augmented Reality (AR) is a variation of Virtual Reality (VR). VR technologies immerses a user inside an imaginary environment. While immersed, the user cannot see the real world around them. In contrast, AR allows the user to see the real world, with virtual objects and information intertwined. Therefore, AR supplements reality and enhances the things we see, hear, and feel. This research project will implement a Web page that gives the user the opportunity to experiment with AR.

Cslc Tutoring Portal, Brian Hodges

Theses/Capstones/Creative Projects

A web portal designed for the Computer Science Learning Center to track students requesting help

Improving Asynchronous Advantage Actor Critic With A More Intelligent Exploration Strategy, James B. Holliday

Theses and Dissertations

We propose a simple and efficient modification to the Asynchronous Advantage Actor Critic (A3C)

algorithm that improves training. In 2016 Google’s DeepMind set a new standard for state-of-theart

reinforcement learning performance with the introduction of the A3C algorithm. The goal of

this research is to show that A3C can be improved by the use of a new novel exploration strategy we

call “Follow then Forage Exploration” (FFE). FFE forces the agents to follow the best known path

at the beginning of a training episode and then later in the episode the agent is forced to “forage”

and explores randomly ...

Improving The Efficacy Of Context-Aware Applications, Jon C. Hammer

Theses and Dissertations

In this dissertation, we explore methods for enhancing the context-awareness capabilities of modern computers, including mobile devices, tablets, wearables, and traditional computers. Advancements include proposed methods for fusing information from multiple

logical sensors, localizing nearby objects using depth sensors, and building models to better understand the content of 2D images.

First, we propose a system called Unagi, designed to incorporate multiple logical sensors into a single framework that allows context-aware application developers to easily test new ideas and create novel experiences. Unagi is responsible for collecting data, extracting

features, and building personalized models for each individual user. We demonstrate the ...

A Home Security System Based On Smartphone Sensors, Michael Mahler

Theses and Dissertations

Several new smartphones are released every year. Many people upgrade to new phones, and their old phones are not put to any further use. In this paper, we explore the feasibility of using such retired smartphones and their on-board sensors to build a home security system. We observe that door-related events such as opening and closing have unique vibration signatures when compared to many types of environmental vibrational noise. These events can be captured by the accelerometer of a smartphone when the phone is mounted on a wall near a door. The rotation of a door can also be captured ...

Dynamic 3d Network Data Visualization, Brok Stafford

Computer Science and Computer Engineering Undergraduate Honors Theses

Monitoring network traffic has always been an arduous and tedious task because of the complexity and sheer volume of network data that is being consistently generated. In addition, network growth and new technologies are rapidly increasing these levels of complexity and volume. An effective technique in understanding and managing a large dataset, such as network traffic, is data visualization. There are several tools that attempt to turn network traffic into visual stimuli. Many of these do so in 2D space and those that are 3D lack the ability to display network patterns effectively. Existing 3D network visualization tools lack user ...