Computer Sciences Commons^™

Tr-2010013: Matrix Computations And Polynomial Root-Finding With Preprocessing, Victor Y. Pan, Guoliang Qian, Ai-Long Zheng, Zhao Chen

Computer Science Technical Reports

No abstract provided.

Modeling And Analyzing Faults To Improve Election Process Robustness, B I. Simidchieva, Sophie J. Engle, M Clifford, A C. Jones, S Peisert, M Bishop, L A. Clarke, L J. Osterweil

Computer Science

This paper presents an approach for continuous process improvement and illustrates its application to improving the robustness of election processes. In this approach, the Little-JIL process definition language is used to create a precise and detailed model of an election process. Given this process model and a potential undesirable event, or hazard, a fault tree is automatically derived. Fault tree analysis is then used to automatically identify combinations of failures that might allow the selected potential hazard to occur. Once these combinations have been identified, we iteratively improve the process model to increase the robustness of the election process against …

Analysis Of The Consistency Of A Mixed Integer Programming-Based Multi-Category Constrained Discriminant Model, J. Paul Brooks, Eva K. Lee

Statistical Sciences and Operations Research Publications

Classification is concerned with the development of rules for the allocation of observations to groups, and is a fundamental problem in machine learning. Much of previous work on classification models investigates two-group discrimination. Multi-category classification is less-often considered due to the tendency of generalizations of two-group models to produce misclassification rates that are higher than desirable. Indeed, producing “good” two-group classification rules is a challenging task for some applications, and producing good multi-category rules is generally more difficult. Additionally, even when the “optimal” classification rule is known, inter-group misclassification rates may be higher than tolerable for a given classification model. …

Exploration Of Dynamic Web Page Partitioning For Increased Web Page Delivery Performance, Brian Michael Krupp

ETD Archive

The increasing use of the Internet and demand for real-time information has increased the amount of dynamic content generated residing in more complex distributed environments. The performance of delivering these web pages has been improved through more traditional techniques such as caching and newer techniques such as pre-fetching. In this research, we explore the dynamic partitioning of web page content using concurrent AJAX requests to improve web page delivery performance for resource intensive synchronous web content. The focus is more on enterprise web applications that exist in an environment such that a page's data and processing is not local to …

Seeing Is Believing: Body Motion Dominates In Multisensory Conversations, Cathy Ennis, Rachel Mcdonnell, Carol O'Sullivan

Articles

In many scenes with human characters, interacting groups are an important factor for maintaining a sense of realism. However, little is known about what makes these characters appear realistic. In this paper, we investigate human sensitivity to audio mismatches (i.e., when individuals’ voices are not matched to their gestures) and visual desynchronization (i.e., when the body motions of the individuals in a group are mis-aligned in time) in virtual human conversers. Using motion capture data from a range of both polite conversations and arguments, we conduct a series of perceptual experiments and determine some factors that contribute to the plausibility …

Skos And The Semantic Web: Knowledge Organization, Metadata, And Interoperability, Eric A. Robinson

Other Topics

The Simplified Knowledge Organization System (SKOS) is a Semantic Web framework, based on the Resource Description Framework (RDF) for thesauri, classification schemes and simple ontologies. It allows for machine-actionable description of the structure of these knowledge organization systems (KOS) and provides an excellent tool for addressing interoperability and vocabulary control problems inherent to the rapidly expanding information environment of the Web. This paper discusses the foundations of the SKOS framework and reviews the literature on a variety of SKOS implementations. The limitations of SKOS that have been revealed through its broad application are addressed with brief attention to the proposed …

Redesigning The Information Assurance Undergraduate Curriculum At Regis University, Robert L. Winter

Regis University Student Publications (comprehensive collection)

When Regis University created the eSecurity curriculum in 2003, the lessons were pertinent to the then-current threats. Although the curriculum has slightly changed since then, the courses needed a major facelift to meet the ever changing cyber threats. The question of can Information Assurance courses at Regis University be refreshed to include virtual labs so they are based on ethical standards will be answered in this paper. Utilizing the Design Science methodology and incorporating Bloom"â„¢s Taxonomy and the Jesuit educational approach, curriculum was identified and developed for the classroom and online students. By working with the Regis Distance Learning department, …

The Topology Of Incidence Pseudographs, Thomas R. James, Reinhard Klette

Mathematics Faculty Scholarship

Incidence pseudographs model a (re°exive and symmetric) inci- dence relation between sets of various dimensions, contained in a count- able family. Work by Klaus Voss in 1993 suggested that this general discrete model allows to introduce a topology, and some authors have done some studies into this direction in the past (also using alternative discrete models such as, for example, abstract complexes or orders on sets of cells). This paper provides a comprehensive overview about the topology of incidence pseudographs. This topology has various appli- cations, such as in modeling basic data in 2D or 3D digital picture analysis, or …

Understanding Events Through Analysis Of Social Media, Amit P. Sheth, Hemant Purohit, Ashutosh Sopan Jadhav, Pavan Kapanipathi, Lu Chen

Kno.e.sis Publications

Users are sharing vast amounts of social data through social networking platforms accessible by Web and increasingly via mobile devices. This opens an exciting opportunity to extract social perceptions as well as obtain insights relevant to events around us. We discuss the significant need and opportunity for analyzing event-centric user generated content on social networks, present some of the technical challenges and our approach to address them. This includes aggregating social data related to events of interest, along with Web resources (news, Wikipedia pages, multimedia) related to an event of interest, and supporting analysis along spatial, temporal, thematic, and sentiment …

Mobicloud - Making Clouds Reachable: A Toolkit For Easy And Efficient Development Of Customized Cloud Mobile Hybrid Applications, Ashwin Manjunatha, Ajith Harshana Ranabahu, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices, as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. However, taking full advantage of this mobile and cloud computing landscape, especially for the data intensive domains, has been hampered by the many heterogeneities that exist in the mobile space, as well as the Cloud space. Our research attempts to exploit the capabilities of the mobile and cloud landscape by introducing MobiCloud, an online toolkit to efficiently develop Cloud-mobile hybrid (CMH) applications. We define a CMH …

A Sketch-Based Language For Representing Uncertainty In The Locations Of Origin Of Herbarium Specimens, Barry Kronenfeld, Andrew Weeks

Faculty Research and Creative Activity

Uncertainty fields have been suggested as an appropriate model for retrospective georeferencing of herbarium specimens. Previous work has focused only on automated data capture methods, but techniques for manual data specification may be able to harness human spatial cognition skills to quickly interpret complex spatial propositions. This paper develops a formal modeling language by which location uncertainty fields can be derived from manually sketched features. The language consists of low-level specification of critical probability isolines from which a surface can be uniquely derived, and high-level specification of features and predicates from which low-level isolines can be derived. In a case …

Learning To Create Jazz Melodies Using Deep Belief Nets, Greg Bickerman '10, Sam Bosley, Peter Swire, Robert M. Keller

All HMC Faculty Publications and Research

We describe an unsupervised learning technique to facilitate automated creation of jazz melodic improvisation over chord sequences. Specifically we demonstrate training an artificial improvisation algorithm based on unsupervised learning using deep belief nets, a form of probabilistic neural network based on restricted Boltzmann machines. We present a musical encoding scheme and specifics of a learning and creational method. Our approach creates novel jazz licks, albeit not yet in real-time. The present work should be regarded as a feasibility study to determine whether such networks could be used at all. We do not claim superiority of this approach for pragmatically creating …

M&S Body Of Knowledge: Progress Report And Look Ahead, Andreas Tolk

Computational Modeling & Simulation Engineering Faculty Publications

No abstract provided.

Beyond Description: Converting Web Site Usage Statistics Into Concrete Site Improvement Ideas, Julie Arendt, Cassie Wagner

VCU Libraries Faculty and Staff Publications

Web site usage statistics are a widely used tool for Web site development, but libraries are still learning how to use them successfully. This case study summarizes how Morris Library at Southern Illinois University Carbondale implemented Google Analytics on its Web site and used the reports to inform a site redesign. As the main campus library at a research university with about 20,000 undergraduate and graduate students, the library included resources from multiple library departments on a single site. In planning the redesign, Morris Library's Virtual Library Group combined usage reports with information from other sources, such as usability tests …

Avoiding Sanctions At The E-Discovery Meet-And-Confer In Common Law Countries, Milton Luoma, Vicki Luoma

Australian Digital Forensics Conference

The rules of civil procedure in common law countries have been amended to better deal with the requirements of electronic discovery. One of the key changes in case management is the scheduling of a meet-and-confer session where the parties to litigation must meet early in the case before any discovery procedures have begun to exchange information regarding the nature, location, formats, and pertinent facts regarding custody and control of a party’s electronically stored information (ESI). Failure to abide by the rules and participate in good faith at the meet-and-confer session can have dire consequences for the parties and lawyers involved. …

Digital Forensics Analysis Of Spectral Estimation Methods, Tolga Mataracioglu, Unal Tatar

Australian Digital Forensics Conference

Steganography is the art and science of writing hidden messages in such a way that no one apart from the intended recipient knows of the existence of the message. In today’s world, it is widely used in order to secure the information. Since digital forensics aims to detect, recover and examine the digital evidence and steganography is a method for hiding digital evidence, detecting the steganography is an important step in digital forensics process. In this paper, the traditional spectral estimation methods are introduced. The performance analysis of each method is examined by comparing all of the spectral estimation methods. …

Zombie Hard Disks - Data From The Living Dead, Iain Sutherland, Gareth Davies, Andy Jones, Andrew J. C. Blyth

Australian Digital Forensics Conference

There have been a number of studies conducted in relation to data remaining on disks purchased on the second hand market. A large number of these studies have indicated that a proportion of these disks contain a degree of residual data placed on the drive by the original owners. The Security Research Centre at BT has sponsored a residual data study over the last five years examining disks sourced around the globe, in the UK, USA, Germany France and Australia. In 2008 as part of a 5 year study, Glamorgan University in conjunction with Edith Cowan University in Australia, Longwood …

Development, Delivery And Dynamics Of A Digital Forensics Subject, Tanveer A. Zia

Australian Digital Forensics Conference

Digital forensics is a newly developed subject offered at Charles Sturt University (CSU). This subject serves as one of the core subjects for Master of Information Systems Security (Digital Forensics stream) course. The subject covers the legislative, regulatory, and technical aspects of digital forensics. The modules provide students detailed knowledge on digital forensics legislations, digital crime, forensics processes and procedures, data acquisition and validation, e-discovery tools, e-evidence collection and preservation, investigating operating systems and file systems, network forensics, email and web forensics, presenting reports and testimony as an expert witness. This paper summarises the process of subject development, delivery, assessments, …

Tr-2010014: A Complexity Question In Justification Logic, Antonis Achilleos

Computer Science Technical Reports

No abstract provided.

Tr-2010015: New Progress In Real And Complex Polynomial Root-Finding, Victor Y. Pan, Ai-Long Zheng

Computer Science Technical Reports

No abstract provided.

Tr-2010009: Solving Linear Systems With Randomized Augmentation Ii, Victor Y. Pan, Guoliang Qian

Computer Science Technical Reports

No abstract provided.

Using Transitivity With Nearest Neighbor To Reduce Error In Sample-Based Pearson Correlation Coefficients, Taylor Phillips

Electronic Theses and Dissertations

Pearson product-moment correlation coefficients are a well-practiced quantification of linear dependence seen across many fields. When calculating a sample-based correlation coefficient, the accuracy of the estimation is dependent on the quality and quantity of the sample. Like all statistical models, these correlation coefficients can suffer from overfitting, which results in the representation of random error instead of an underlying trend.

In this paper, we discuss how Pearson's product-moment correlation coefficients can utilize information outside of the two items for which the correlation is being computed. By introducing a relationship with one or more additional items that meet specified criterion, our …

A Location Aware P2p Voice Communication Protocol For Networked Virtual Environments, Gabor Papp

Electronic Theses and Dissertations

Multiparty voice communication, where multiple people can communicate in a group, is an important component of networked virtual environments (NVEs), especially in many types of online games. While most research has been conducted on one-to-one communication, we focus on group communication. In this dissertation, we present the first measurement study on the characteristics of multiparty voice communications and develop a model of the talking and silence periods observed during multiparty communication. Over a total of 5 months, we measured over 11,000 sessions on an active multi-party voice communication server to quantify the characteristics of communication generated by game players, including …

An Open Source Graphics Engine For Three-Dimensional Video Games, David Lee Gardner Stover

Theses Digitization Project

The focus of this project is creating a new three dimensional (3D) game called Mythic which was developed at CSUSB. To support Mythic, a new game engine called Geng which is derived from "game" and "engine" is also being developed in the School of Computer Science and Engineering at CSUSB. MAGE, called the Multi-platform All purpose Graphics Engine provides support for keyframe animation, Cg, vertex and fragment shaders GLSL vertex and fragment shaders, loading static models stored in the Collada file format. The architecture of MAGE is based on a unified 3D graphics API that hides the specific implementation details …

Assessing Traceability Of Software Engineering Artifacts, Senthil Karthikeyan Sundaram, Jane Huffman Hayes, Alex Dekhtyar, E. Ashlee Holbrook

Computer Science and Software Engineering

The generation of traceability links or traceability matrices is vital to many software engineering activities. It is also person-power intensive, time-consuming, error-prone, and lacks tool support. The activities that require traceability information include, but are not limited to, risk analysis, impact analysis, criticality assessment, test coverage analysis, and verification and validation of software systems. Information Retrieval (IR) techniques have been shown to assist with the automated generation of traceability links by reducing the time it takes to generate the traceability mapping. Researchers have applied techniques such as Latent Semantic Indexing (LSI), vector space retrieval, and probabilistic IR and have enjoyed …

Partnering Enhanced-Nlp With Semantic Analysis In Support Of Information Extraction, Hisham Assal, John Seng, Franz J. Kurfess, Emily Schwarz, Kym Pohl

Computer Science and Software Engineering

Information extraction using Natural Language Processing (NLP) tools focuses on extracting explicitly stated information from textual material. This includes Named Entity Recognition (NER), which produces entities and some of the relationships that may exist among them. Intelligent analysis requires examining the entities in the context of the entire document. While some of the relationships among the recognized entities may be preserved during extraction, the overall context of a document may not be preserved. In order to perform intelligent analysis on the extracted information, we provide an ontology, which describes the domain of the extracted information, in addition to rules that …

The College Of Extended Learning Online Registration System, Ching-Yi Wang

Theses Digitization Project

The purpose of this study was to build an online method to register for classes for the College of Extended Learning Online Registration System (CELORS). This system was initially built so that the College of Extended Learning could offer its students an online method to register for classes, in addition to the traditional methods of registering by phone, by fax, by mail, or in person. Over the last few years, the system has been routinely modified to meet the needs of the College to suit their ever-changing business rules.

Cellular Automata Rules Generator For Microbial Communities, Melissa Marie Quintana

Theses Digitization Project

The purpose of this project is to provide a visual representation as program output so that the rules and the radius of effect can be estimated. Currently there is a need for a method that extracts the cellular automata rules which simulate the growth patterns of microbial communities found within extreme environments. Contains source code.

Online Collaborative Whiteboard, Niranjana Kumari Subramanian

Theses Digitization Project

The purpose of this project is to build a simple Online Collaborative Whiteboard (OCW) application to enable multiple users to brainstorm and share ideas interactively by using fun tools to start thinking together. Includes source code.

To Live And Die In Ca, Jane Frances Curnutt

Theses Digitization Project

This thesis investigates the nature of elementary cellular automata to better understand their relationship of the models they support to the biological organisms that create the mats and soil crusts found in extreme environments here on earth. Cellular automata have been used to study growth and patterns in forests, arid desert environments, predator-prey problems, and sea shells. It has also been used to study areas of diverse epidemiology and linguistics. Cellular automata have been used as the core of computer games as well. This investigation has led to develop a graphical grammar for simple cellular automata, using L-systems, a grammar …