Keynote Talk 2: Social And Perceptual Fidelity Of Avatars And Autonomous Agents In Virtual Reality,
2016
University of Dayton
Keynote Talk 2: Social And Perceptual Fidelity Of Avatars And Autonomous Agents In Virtual Reality, Benjamin Kunz
MAICS: The Modern Artificial Intelligence and Cognitive Science Conference
Advances in display, computing and sensor technologies have led to a revival of interest and excitement surrounding immersive virtual reality. Here, on the cusp of the arrival of practical and affordable virtual reality technology, are open questions regarding the factors that contribute to compelling and immersive virtual worlds.
In order for virtual reality to be useful as a tool for use in training, education, communication, research, content-creation and entertainment, we must understand the degree to which the perception of the virtual environment and virtual characters resembles perception of the real world.
Relatedly, virtual reality's utility in these contexts demands evidence …
Exploring Web-Based Visual Interfaces For Searching Research Articles On Digital Library Systems,
2016
Indiana University - Purdue University Fort Wayne
Exploring Web-Based Visual Interfaces For Searching Research Articles On Digital Library Systems, Maxwell Fowler, Chris Bellis, Chris Perry, Beomjin Kim
MAICS: The Modern Artificial Intelligence and Cognitive Science Conference
Previous studies that present information archived in digital libraries have used either document meta-data or document content. The current search mechanisms commonly return text-based results that were compiled from the meta-data without reflecting the underlying content. Visual analytics is a possible solution for improving searches by presenting a large amount of information, including document content alongside meta-data, in a limited screen space. This paper introduces a multi-tiered visual interface for searching research articles stored in Digital Library systems. The goals of this system are to allow users to find research papers about their interests in a large work space, to …
Fuzzy Algorithms: Applying Fuzzy Logic To The Golden Ratio Search To Find Solutions Faster,
2016
West Virginia University Institute of Technology
Fuzzy Algorithms: Applying Fuzzy Logic To The Golden Ratio Search To Find Solutions Faster, Stephany Coffman-Wolph
MAICS: The Modern Artificial Intelligence and Cognitive Science Conference
Applying the concept of fuzzy logic (an abstract version of Boolean logic) to well-known algorithms generates an abstract version (i.e., fuzzy algorithm) that often results in computational improvements. Precision may be reduced but counteracted by gaining computational efficiency. The trade-offs (e.g., small increase in space, loss of precision) for a variety of applications are deemed acceptable. The fuzzification of an algorithm can be accomplished using a simple three-step framework. Creating a new fuzzy algorithm goes beyond simply converting the data from raw data into fuzzy data by additionally converting the operators and concepts into their abstract equivalents. This paper demonstrates: …
The Webid Protocol Enhanced With Group Access, Biometrics, And Access Policies,
2016
University of North Carolina at Greensboro
The Webid Protocol Enhanced With Group Access, Biometrics, And Access Policies, Cory Sabol, William Nick, Maya Earl, Joseph Shelton, Albert Esterline
MAICS: The Modern Artificial Intelligence and Cognitive Science Conference
The WebID protocol solves the challenge of remembering usernames and passwords. We enhance this protocol in three ways. First, we give it the ability to manage groups of agents and control their access to resources on the Web. Second, we add support for biometric access control to enhance security. Finally, we add support for OWL-based policies that may be federated and result in flexible access control.
Real-Time Unsupervised Clustering,
2016
Hendrix College
Real-Time Unsupervised Clustering, Gabriel Ferrer
MAICS: The Modern Artificial Intelligence and Cognitive Science Conference
In our research program, we are developing machine learning algorithms to enable a mobile robot to build a compact representation of its environment. This requires the processing of each new input to terminate in constant time. Existing machine learning algorithms are either incapable of meeting this constraint or deliver problematic results. In this paper, we describe a new algorithm for real-time unsupervised clustering, Bounded Self-Organizing Clustering. It executes in constant time for each input, and it produces clusterings that are significantly better than those created by the Self-Organizing Map, its closest competitor, on sensor data acquired from a physically embodied …
Chipathlon: A Competitive Assessment For Gene Regulation Tools,
2016
University of Nebraska-Lincoln
Chipathlon: A Competitive Assessment For Gene Regulation Tools, Avi Knecht, Adam Caprez, Istvan Ladunga
UCARE: Research Products
When gene regulation of the cell cycle malfunctions, it frequently causes cancer.
Adult, differentiated cells can be reprogrammed to induced pluripotent stem cell; which can then be reprogrammed to heart muscle, skin, etc, to repair damaged tissue (to limited extent in clinical practice).
ChIPathlon: Evaluate the performance of all transcription factor mapping (peak calling) methods. To this end, we will develop a scalable and easy to use super computing pipeline to stage data, compare many different peak calling and differential binding site tools, and store all results into a single database.
Flying By Fire: Making Controlled Burns Safer For Humans And Uavs,
2016
University of Nebraska-Lincoln
Flying By Fire: Making Controlled Burns Safer For Humans And Uavs, Rebecca Horzewski, Carrick Detweiler
UCARE: Research Products
A temperature sensing circuit board was developed that will allow Nimbus Lab's controlled burn starting UAV to react to the temperatures around it.
Front Matter: Proceedings Of The Maics 2016 Conference,
2016
University of Dayton
Front Matter: Proceedings Of The Maics 2016 Conference, University Of Dayton
Content presented at the MAICS conference
Front matter contains:
- A list of program chairs and committee members
- Foreword to the proceedings by James P. Buckley, conference chair; Saverio Perugini, general chair
Editors: Phu H. Phung, University of Dayton; Ju Shen, University of Dayton; Michael Glass, Valparaiso University
Challenges And Opportunities In Dfo-At: A Study Of E-Nable,
2016
Rochester Institute of Technology
Challenges And Opportunities In Dfo-At: A Study Of E-Nable, Jeremiah L. Parry-Hill, Daniel L. Ashbrook
Articles
In this paper, we present the results of a study of the e‑NABLE community–a distributed, collaborative volunteer effort to design and fabricate upper-limb assistive technology devices for distant strangers. We position e‑NABLE as the prototypical example of “Do-it-yourself For Others Assistive Technology” (DFO‑AT) and describe three key findings: how the project does and does not meet the recipient's nuanced needs for functional and social support; how e‑NABLE volunteers' motivations compare to those of volunteers for other efforts, including open source software projects; and we explore the challenges inherent in the distance between volunteers and recipients. We also describe opportunities for …
Position And Volume Estimation Of Atmospheric Nuclear Detonations From Video Reconstruction,
2016
Air Force Institute of Technology
Position And Volume Estimation Of Atmospheric Nuclear Detonations From Video Reconstruction, Daniel T. Schmitt
Theses and Dissertations
Recent work in digitizing films of foundational atmospheric nuclear detonations from the 1950s provides an opportunity to perform deeper analysis on these historical tests. This work leverages multi-view geometry and computer vision techniques to provide an automated means to perform three-dimensional analysis of the blasts for several points in time. The accomplishment of this requires careful alignment of the films in time, detection of features in the images, matching of features, and multi-view reconstruction. Sub-explosion features can be detected with a 67% hit rate and 22% false alarm rate. Hotspot features can be detected with a 71.95% hit rate, 86.03% …
Epistemic Considerations On Extensive-Form Games,
2016
CUNY Graduate Center
Epistemic Considerations On Extensive-Form Games, Cagil Tasdemir
Dissertations, Theses, and Capstone Projects
In this thesis, we study several topics in extensive-form games. First, we consider perfect information games with belief revision with players who are tolerant of each other’s hypothetical errors. We bound the number of hypothetical non-rational moves of a player that will be tolerated by other players without revising the belief on that player’s rationality on future moves, and investigate which games yield the backward induction solution.
Second, we consider players who have no way of assigning probabilities to various possible outcomes, and define players as conservative, moderate and aggressive depending on the way they choose, and show that all …
The Global Rock-Art Database Project Towards Machine Learning: Building A Collaborative Open Source Platform For Heritage Management From Information Structure To Information Visualization Using Australian Heritage Examples,
2016
SAE University College
The Global Rock-Art Database Project Towards Machine Learning: Building A Collaborative Open Source Platform For Heritage Management From Information Structure To Information Visualization Using Australian Heritage Examples, Robert Haubt
Staff Scholarship - Australia & Dubai
This guest talk, presented at Lava Lab at the University of Hawaiʻi, explores the intersection of collaboration, data ontology, and information visualization in advancing machine learning within the Global Rock Art Database project. Drawing on insights from the project’s first four years, the talk emphasizes the critical need for cultural heritage preservation by systematically recording and structuring global rock art data in accessible and sustainable ways. This effort not only supports public education on rock art but also facilitates scholarly research.
Key discussions include advancements in data ontology using the CIDOC Conceptual Reference Model (CIDOC CRM) for semantic data management …
Artificially Intelligent Computer Assisted Language Learning System With Ai Student Component,
2016
Southern Adventist University
Artificially Intelligent Computer Assisted Language Learning System With Ai Student Component, Denee M. Mcclain
Capstone Research Projects
Intelligent Computer Assisted Language Learning (ICALL) systems follow an accepted format, which utilizes an artificially intelligent tutor. The systems allow the user to input a sentence in the target language and the AI tutor analyzes the sentence and provides error correction. This approach can be expensive, impractical, and inflexible. Inflexibility can result in a lower quality of learning for the users of these systems. Here I present an alternative format for ICALL systems that utilizes an artificially intelligent student. This alternative is cost effective and practical because it does not require extra development time to make the artificial intelligence an …
Line-Of-Sight Pursuit And Evasion Games On Polytopes In R^N,
2016
Harvey Mudd College
Line-Of-Sight Pursuit And Evasion Games On Polytopes In R^N, John Phillpot
HMC Senior Theses
We study single-pursuer, line-of-sight Pursuit and Evasion games in polytopes in $\mathbb{R}^n$. We develop winning Pursuer strategies for simple classes of polytopes (monotone prisms) in Rn, using proven algorithms for polygons as inspiration and as subroutines. More generally, we show that any Pursuer-win polytope can be extended to a new Pursuer-win polytope in more dimensions. We also show that some more general classes of polytopes (monotone products) do not admit a deterministic winning Pursuer strategy. Though we provide bounds on which polytopes are Pursuer-win, these bounds are not tight. Closing the gap between those polytopes known to be …
Chillisource Game Engine Particle System Study,
2016
University of Montana, Missoula
Chillisource Game Engine Particle System Study, Angela Gross
Graduate Student Theses, Dissertations, & Professional Papers
The majority of modern game engines utilize intricate objects called particle systems which are a collection of many particles that together represent an object without well-defined surfaces. This thesis discusses the results of studying and stressing particle systems within ChilliSource, an open-source game engine written in C++, with the goal of understanding a complex system and exploring possible optimizations that could be made to it. The studies performed were driven by metrics generated with custom profiling classes that kept track of things like the number of particles rendered, how long the engine spent rendering particles, or even how long a …
Multi-Type Display Calculus For Dynamic Epistemic Logic,
2016
Aix-Marseille Université
Multi-Type Display Calculus For Dynamic Epistemic Logic, Sabine Frittella, Giuseppe Greco, Alexander Kurz, Alessandra Palmigiano, Vlasta Sikimić
Engineering Faculty Articles and Research
In the present paper, we introduce a multi-type display calculus for dynamic epistemic logic, which we refer to as Dynamic Calculus. The displayapproach is suitable to modularly chart the space of dynamic epistemic logics on weaker-than-classical propositional base. The presence of types endows the language of the Dynamic Calculus with additional expressivity, allows for a smooth proof-theoretic treatment, and paves the way towards a general methodology for the design of proof systems for the generality of dynamic logics, and certainly beyond dynamic epistemic logic. We prove that the Dynamic Calculus adequately captures Baltag-Moss-Solecki’s dynamic epistemic logic, and enjoys Belnap-style cut …
Revisiting The Futamura Projections: A Diagrammatic Approach,
2016
University of Dayton
Revisiting The Futamura Projections: A Diagrammatic Approach, Brandon Williams, Saverio Perugini
Computer Science Faculty Publications
The advent of language implementation tools such as PyPy and Truffle/Graal have reinvigorated and broadened interest in topics related to automatic compiler generation and optimization. Given this broader interest, we revisit the Futamura Projections using a novel diagram scheme. Through these diagrams we emphasize the recurring patterns in the Futamura Projections while addressing their complexity and abstract nature. We anticipate that this approach will improve the accessibility of the Futamura Projections and help foster analysis of those new tools through the lens of partial evaluation.
Algorithmic Foundations Of Heuristic Search Using Higher-Order Polygon Inequalities,
2016
Nova Southeastern University
Algorithmic Foundations Of Heuristic Search Using Higher-Order Polygon Inequalities, Newton Henry Campbell Jr.
CCAC Theses and Dissertations
The shortest path problem in graphs is both a classic combinatorial optimization problem and a practical problem that admits many applications. Techniques for preprocessing a graph are useful for reducing shortest path query times. This dissertation studies the foundations of a class of algorithms that use preprocessed landmark information and the triangle inequality to guide A* search in graphs. A new heuristic is presented for solving shortest path queries that enables the use of higher order polygon inequalities. We demonstrate this capability by leveraging distance information from two landmarks when visiting a vertex as opposed to the common single landmark …
Blended Learning For Faculty Professional Development Incorporating Knowledge Management Principles,
2016
Nova Southeastern University
Blended Learning For Faculty Professional Development Incorporating Knowledge Management Principles, Julie E. Hewitt
CCAC Theses and Dissertations
Adjunct faculty comprise a large percentage of part-time faculty for many colleges and universities today. Adjunct faculty are hired because they are experts in their content areas; however, this does not guarantee that they are skilled in effective classroom management. These instructors can become bewildered and frustrated because they lack the knowledge and skills that are needed to run an effective classroom.
While educational organizations have adopted blended learning environments as an effective delivery method for their students, this method has not gained much traction as a way to deliver instruction to their own employees. Thus, there are opportunities to …
A Study Of The Success Of Group Formation In Virtual Teams Using Computer-Mediated Communications,
2016
Nova Southeastern University
A Study Of The Success Of Group Formation In Virtual Teams Using Computer-Mediated Communications, Eliel Melón-Ramos
CCAC Theses and Dissertations
In the digital domain, virtual teams within organizations and corporations are becoming common. Restructuring an organization or corporation is vital because competition and globalization are increasing. In this era of globalization, distributed working groups need to develop a competitive advantage in these ever-changing environments. Historically, teams had experienced problems stemming from geographical and temporal limitations. With the increase of technology in telecommunications, organizations are increasingly forming virtual teams, which have become critical to the survival of nearly any corporate entity.
Virtual teams have some of the same problems that regular teams have. One of the key challenges is the method …
