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An Extendable Visualization And User Interface Design For Time-Varying Multivariate Geoscience Data, Yanfu Zhou 2016 University of Nebraska - Lincoln

An Extendable Visualization And User Interface Design For Time-Varying Multivariate Geoscience Data, Yanfu Zhou

Computer Science and Engineering: Theses, Dissertations, and Student Research

Geoscience data has unique and complex data structures, and its visualization has been challenging due to a lack of effective data models and visual representations to tackle the heterogeneity of geoscience data. In today’s big data era, the needs of visualizing geoscience data become urgent, especially driven by its potential value to human societies, such as environmental disaster prediction, urban growth simulation, and so on. In this thesis, I created a novel geoscience data visualization framework and applied interface automata theory to geoscience data visualization tasks. The framework can support heterogeneous geoscience data and facilitate data operations. The interface ...


Towards Understanding And Developing Virtual Environments To Increase Accessibilities For People With Visual Impairments, Miao Dong 2016 Kennesaw State University

Towards Understanding And Developing Virtual Environments To Increase Accessibilities For People With Visual Impairments, Miao Dong

Master of Science in Computer Science Theses

The primary goal of this research is to investigate the possibilities of utilizing audio feedback to support effective Human-Computer Interaction Virtual Environments (VEs) without visual feedback for people with Visual Impairments. Efforts have been made to apply virtual reality (VR) technology for training and educational applications for diverse population groups, such as children and stroke patients. Those applications had already shown effects of increasing motivations, providing safer training environments and more training opportunities. However, they are all based on visual feedback. With the head related transfer functions (HRTFs), it is possible to design and develop considerably safer, but diversified training ...


A Demonstration Of The Pmf-Extraction Approach: Modeling The Effects Of Sound On Crowd Behavior, Jason Cornwell, Barry G. Silverman, Kevin O'Brien, Michael Johns 2016 University of Pennsylvania

A Demonstration Of The Pmf-Extraction Approach: Modeling The Effects Of Sound On Crowd Behavior, Jason Cornwell, Barry G. Silverman, Kevin O'Brien, Michael Johns

Barry G Silverman

The vast majority of psychology, sociology, and other social-science literature describing human behavior and performance does not reach the eyes of those of us working in the modeling and simulation community. Our recent work has been concerned with the extraction and implementation of Human Behavior Models(HBMs)/ Performance Moderator Functions(PMFs) from this literature. This paper demonstrates how our methodology was applied to extract models of the effects of music and sound on both individuals and groups and to implement them in a simulated environment. PMFs describing how several classes of sound affect decision-making and performance were constructed based on ...


Real-Time, Non-Contact Heart Rate Monitor, Daniel Blike 2016 California Polytechnic State University, San Luis Obispo

Real-Time, Non-Contact Heart Rate Monitor, Daniel Blike

Computer Engineering

No abstract provided.


Visual Code: Breaking The Binary, Jacob Johannesen, Andrew Adriance 2016 California Polytechnic State University, San Luis Obispo

Visual Code: Breaking The Binary, Jacob Johannesen, Andrew Adriance

Liberal Arts and Engineering Studies

This project seeks to create an accessible programming language that is more visually based. Although some solutions exist, namely MIT’s Scratch, nothing has caught up to the mobile age. This proj- ect aims to reframe creating a game or app into the context of tell- ing a story, putting character creation first. By researching sto- ry-telling and how people learn, and by applying technical and user interface design knowledge, this project intends to deliver a soft- ware solution that opens introductory coding education to more people.


Accelerating Hash Grid And Screen-Space Photon Mapping In 3d Interactive Applications With Opencl, Nikolai Shkurkin 2016 California Polytechnic State University, San Luis Obispo

Accelerating Hash Grid And Screen-Space Photon Mapping In 3d Interactive Applications With Opencl, Nikolai Shkurkin

Computer Science

Achieving interactive and realistic rendering is only possible with a combination of rendering algorithms, rendering pipelines, multi-core hardware, and parallelization APIs. This project explores and implements two photon mapping pipelines based on the work of Mara et. al [5] and Singh et. al [7] to achieve interactive rendering performance for a set of simple scenes using OpenCL and C++ to work with a GPU. In particular, both a 3D hash grid and a screen-space tiling algorithm are parallelized to accelerate photon lookup in order to compute direct and indirect lighting on visible surfaces in a scene. By using OpenCL with ...


Pain Management: Formal Verification Of An Android Application Using Eventb2sql, Graham Peter Williams 2016 Dickinson College

Pain Management: Formal Verification Of An Android Application Using Eventb2sql, Graham Peter Williams

Honors Theses By Year

This project is a case study on formal verification of an Android application used for pain management. When it comes to healthcare applications, the consistency of the application is crucial, as it may affect the wellbeing of the user. The application will check for trends in the user reports of pain, stress, etc. and notify the user accordingly. The model that specifies these trends is defined in Event-B using an Eclipse-based IDE called Rodin. We used the automated and interactive theorem provers built into Rodin to verify that the model always gives the user consistent information. The Event-B model is ...


An Application Of High Fidelity Ftds For Ab Initio Pilot Training: The Way Ahead, Nickolas D. Macchiarella, Tim Brady, Brandon S. Lyon 2016 Embry-Riddle Aeronautical University - Daytona Beach

An Application Of High Fidelity Ftds For Ab Initio Pilot Training: The Way Ahead, Nickolas D. Macchiarella, Tim Brady, Brandon S. Lyon

Nickolas D. "Dan" Macchiarella

"Decreases in simulation costs and increases in aircraft training costs led to the need for further investigation into the application of simulation-based training. Researchers conducted an eighteen-month study using ab initio student pilots as participants. This study applied a Federal Aviation Administration (FAA) approved, Part 142, flight-training curriculum that included 60% flight training device (FTD) use. Researchers identified five causal factors that warranted further investigation. The causal factors identified were visual fidelity, procedural similarity, dynamic flight environment, difficulty of task, and visual scanning and response. These causal factors have the potential to affect transfer of training (ToT) from simulated flight ...


Texture Modelling Using Convolutional Neural Networks, Leon A. Gatys, Alexander S. Ecker, Matthias Bethge 2016 University of Tuebingen

Texture Modelling Using Convolutional Neural Networks, Leon A. Gatys, Alexander S. Ecker, Matthias Bethge

MODVIS Workshop

We introduce a new model of natural textures based on the feature spaces of convolutional neural networks optimised for object recognition. Samples from the model are of high perceptual quality demonstrating the generative power of neural networks trained in a purely discriminative fashion. Within the model, textures are represented by the correlations between feature maps in several layers of the network. We show that across layers the texture representations increasingly capture the statistical properties of natural images while making object information more and more explicit. Extending this framework to texture transfer, we introduce A Neural Algorithm of Artistic Style that ...


Sonifying Git History, Kevin J. North 2016 University of Nebraska-Lincoln

Sonifying Git History, Kevin J. North

Computer Science and Engineering: Theses, Dissertations, and Student Research

Version control is a technique that software developers use in industry to manage their source code artifacts. One benefit of using version control is that it produces a history of every change made to a codebase, which developers frequently analyze in order to aid the software development process. However, version control history contains highly multidimensional and temporal data. State of the art techniques can show several of these dimensions, but they cannot show a large number of dimensions simultaneously without becoming difficult to understand. An alternative technique to understand temporal data with high dimensionality is sonification. Sonification maps information to ...


Improving Electroencephalography-Based Imagined Speech Recognition With A Simultaneous Video Data Stream, Sarah J. Stolze 2016 University of Arkansas, Fayetteville

Improving Electroencephalography-Based Imagined Speech Recognition With A Simultaneous Video Data Stream, Sarah J. Stolze

Computer Science and Computer Engineering Undergraduate Honors Theses

Electroencephalography (EEG) devices offer a non-invasive mechanism for implementing imagined speech recognition, the process of estimating words or commands that a person expresses only in thought. However, existing methods can only achieve limited predictive accuracy with very small vocabularies; and therefore are not yet sufficient to enable fluid communication between humans and machines. This project proposes a new method for improving the ability of a classifying algorithm to recognize imagined speech recognition, by collecting and analyzing a large dataset of simultaneous EEG and video data streams. The results from this project suggest confirmation that complementing high-dimensional EEG data with similarly ...


Nextgen Flight Deck Data Comm: Auxiliary Synthetic Speech Phase I, Tracy Lennertz, Judith Bürki-Cohen, Andrea L. Sparko, Nickolas D. Macchiarella, Jason Kring, Mike Coman, Tom Haritos, Jeffry Alvarado 2016 Dean, College of Aviation, Embry-Riddle Aeronautical University, Daytona Beach

Nextgen Flight Deck Data Comm: Auxiliary Synthetic Speech Phase I, Tracy Lennertz, Judith Bürki-Cohen, Andrea L. Sparko, Nickolas D. Macchiarella, Jason Kring, Mike Coman, Tom Haritos, Jeffry Alvarado

Nickolas D. "Dan" Macchiarella

Data Comm—a text-based controller-pilot communication system—is critical to many NextGen improvements. With Data Comm, communication becomes a visual task. Interacting with a visual Data Comm display may yield an unsafe increase in head-down time, particularly for single-pilot operations. This study examined the feasibility of supplementing Data Comm with synthetic speech. To this end, thirty-two pilots flew two experimental scenarios in a Cessna 172 Flight Training Device. In one scenario, ATC communication was with a text-only Data Comm display, in the other, communication was with a text Data Comm display with synthetic speech that read aloud each message (i ...


Transfer Of Training From Flight Training Devices To Flight For Ab-Initio Pilots, Nickolas D. Macchiarella, Pamela K. Arban, Shawn M. Doherty 2016 Embry-Riddle Aeronautical University - Daytona Beach

Transfer Of Training From Flight Training Devices To Flight For Ab-Initio Pilots, Nickolas D. Macchiarella, Pamela K. Arban, Shawn M. Doherty

Nickolas D. "Dan" Macchiarella

The application of flight simulation to meet pilot training needs continues to evolve. Flight simulations built with powerful and inexpensive computers are making high fidelity simulation available as a medium for training ab-initio pilots at Pilot Schools and Training Centers. The researchers conducted an 18-month study that applied an experimental flight-training curriculum comprised of 60% flight training device (FTD) flight and 40% airplane flight to certify Private Pilots under Federal Aviation Regulation (FAR) Part 142. The results from the research provided data to ascertain the effective transfer for each flight-training task. Ab-initio student pilots practiced each task to standard in ...


User Interface Design, Moritz Stefaner, Sebastien Ferre, Saverio Perugini, Jonathan Koren, Yi Zhang 2016 University of Dayton

User Interface Design, Moritz Stefaner, Sebastien Ferre, Saverio Perugini, Jonathan Koren, Yi Zhang

Saverio Perugini

As detailed in Chap. 1, system implementations for dynamic taxonomies and faceted search allow a wide range of query possibilities on the data. Only when these are made accessible by appropriate user interfaces, the resulting applications can support a variety of search, browsing and analysis tasks. User interface design in this area is confronted with specific challenges. This chapter presents an overview of both established and novel principles and solutions.


Program Transformations For Information Personalization, Saverio Perugini, Naren Ramakrishnan 2016 University of Dayton

Program Transformations For Information Personalization, Saverio Perugini, Naren Ramakrishnan

Saverio Perugini

Personalization constitutes the mechanisms necessary to automatically customize information content, structure, and presentation to the end user to reduce information overload. Unlike traditional approaches to personalization, the central theme of our approach is to model a website as a program and conduct website transformation for personalization by program transformation (e.g., partial evaluation, program slicing). The goal of this paper is study personalization through a program transformation lens and develop a formal model, based on program transformations, for personalized interaction with hierarchical hypermedia. The specific research issues addressed involve identifying and developing program representations and transformations suitable for classes of ...


A Study Of Android Malware Detection Techniques And Machine Learning, Balaji Baskaran, Anca Ralescu 2016 University of Cincinnati - Main Campus

A Study Of Android Malware Detection Techniques And Machine Learning, Balaji Baskaran, Anca Ralescu

MAICS: The Modern Artificial Intelligence and Cognitive Science Conference

Android OS is one of the widely used mobile Operating Systems. The number of malicious applications and adwares are increasing constantly on par with the number of mobile devices. A great number of commercial signature based tools are available on the market which prevent to an extent the penetration and distribution of malicious applications. Numerous researches have been conducted which claims that traditional signature based detection system work well up to certain level and malware authors use numerous techniques to evade these tools. So given this state of affairs, there is an increasing need for an alternative, really tough malware ...


Extended Pixel Representation For Image Segmentation, Deeptha Girish, Vineeta Singh, Anca Ralescu 2016 University of Cincinnati - Main Campus

Extended Pixel Representation For Image Segmentation, Deeptha Girish, Vineeta Singh, Anca Ralescu

MAICS: The Modern Artificial Intelligence and Cognitive Science Conference

We explore the use of extended pixel representation for color based image segmentation using the K-means clustering algorithm. Various extended pixel representations have been implemented in this paper and their results have been compared. By extending the representation of pixels an image is mapped to a higher dimensional space. Unlike other approaches, where data is mapped into an implicit features space of higher dimension (kernel methods), in the approach considered here, the higher dimensions are defined explicitly. Preliminary experimental results which illustrate the proposed approach are promising.


An Autonomic Computing System Based On A Rule-Based Policy Engine And Artificial Immune Systems, Rahmira Rufus, William Nick, Joseph Shelton, Albert Esterline 2016 North Carolina A & T State University

An Autonomic Computing System Based On A Rule-Based Policy Engine And Artificial Immune Systems, Rahmira Rufus, William Nick, Joseph Shelton, Albert Esterline

MAICS: The Modern Artificial Intelligence and Cognitive Science Conference

Autonomic computing systems arose from the notion that complex computing systems should have properties like those of the autonomic nervous system, which coordinates bodily functions and allows attention to be directed to more pressing needs. An autonomic system allows the system administrator to specify high-level policies, which the system maintains without administrator assistance. Policy enforcement can be done with a rule based system such as Jess (a java expert system shell). An autonomic system must be able to monitor itself, and this is often a limiting factor. We are developing an automatic system that has a policy engine and uses ...


Towards The Development Of A Cyber Analysis & Advisement Tool (Caat) For Mitigating De-Anonymization Attacks, Siobahn Day, Henry Williams, Joseph Shelton, Gerry Dozier 2016 North Carolina A & T State University

Towards The Development Of A Cyber Analysis & Advisement Tool (Caat) For Mitigating De-Anonymization Attacks, Siobahn Day, Henry Williams, Joseph Shelton, Gerry Dozier

MAICS: The Modern Artificial Intelligence and Cognitive Science Conference

We are seeing a rise in the number of Anonymous Social Networks (ASN) that claim to provide a sense of user anonymity. However, what many users of ASNs do not know that a person can be identified by their writing style.

In this paper, we provide an overview of a number of author concealment techniques, their impact on the semantic meaning of an author's original text, and introduce AuthorCAAT, an application for mitigating de-anonymization attacks. Our results show that iterative paraphrasing performs the best in terms of author concealment and performs well with respect to Latent Semantic Analysis.


Situations And Evidence For Identity Using Dempster-Shafer Theory, William Nick, Yenny Dominguez, Albert Esterline 2016 North Carolina A & T State University

Situations And Evidence For Identity Using Dempster-Shafer Theory, William Nick, Yenny Dominguez, Albert Esterline

MAICS: The Modern Artificial Intelligence and Cognitive Science Conference

We present a computational framework for identity based on Barwise and Devlin’s situation theory. We present an example with constellations of situations identifying an individual to create what we call id-situations, where id-actions are performed, along with supporting situations. We use Semantic Web standards to represent and reason about the situations in our example. We show how to represent the strength of the evidence, within the situations, as a measure of the support for judgments reached in the id-situation. To measure evidence of an identity from the supporting situations, we use the Dempster-Shafer theory of evidence. We enhance Dempster- ...


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