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2010 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department 2010 Morehead State University

2010 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the fall of 2010.


Cluster-Based Distributed Face Tracking In Camera Networks, Josiah Yoder, Henry Medeiros, Johnny Park, Avinash Kak 2010 Purdue University

Cluster-Based Distributed Face Tracking In Camera Networks, Josiah Yoder, Henry Medeiros, Johnny Park, Avinash Kak

Electrical and Computer Engineering Faculty Research and Publications

In this paper, we present a distributed multicamera face tracking system suitable for large wired camera networks. Unlike previous multicamera face tracking systems, our system does not require a central server to coordinate the entire tracking effort. Instead, an efficient camera clustering protocol is used to dynamically form groups of cameras for in-network tracking of individual faces. The clustering protocol includes cluster propagation mechanisms that allow the computational load of face tracking to be transferred to different cameras as the target objects move. Furthermore, the dynamic election of cluster leaders provides robustness against system failures. Our experimental results show that …


Maximizing Service Reliability In Distributed Computing Systems With Random Node Failures: Theory And Implementation, Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat 2010 University of New Mexico

Maximizing Service Reliability In Distributed Computing Systems With Random Node Failures: Theory And Implementation, Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat

Electrical and Computer Engineering Faculty Research and Publications

In distributed computing systems (DCSs) where server nodes can fail permanently with nonzero probability, the system performance can be assessed by means of the service reliability, defined as the probability of serving all the tasks queued in the DCS before all the nodes fail. This paper presents a rigorous probabilistic framework to analytically characterize the service reliability of a DCS in the presence of communication uncertainties and stochastic topological changes due to node deletions. The framework considers a system composed of heterogeneous nodes with stochastic service and failure times and a communication network imposing random tangible delays. The framework also …


Electroencephalogram Artifact Removal Using A Wavelet Neural Network, Hoang-Anh T. Nguyen 2010 Old Dominion University

Electroencephalogram Artifact Removal Using A Wavelet Neural Network, Hoang-Anh T. Nguyen

Electrical & Computer Engineering Theses & Dissertations

A wavelet neural network (WNN) technique rs developed for electroencephalogram (EEG) artifact removal without electrooculographic (EOG) recordings. The algorithm combines the universal approximation characteristics of neural networks and the time/frequency property of wavelet, where the neural network was trained on a simulated dataset with known ground truths. The contribution of this thesis is two-fold. First, many EEG artifact removal algorithms, including regression based methods, require reference EOG signals, which are not always available. To remove EEG ai1ifacts, a WNN tries to learn the characteristics of the artifacts first and does not need reference EOG signals once trained. Second, WNNs are …


Fault-Injection Experiment For The Statistical Characterization Of Faults In Avionics Communication System, Amy M. Yates 2010 Old Dominion University

Fault-Injection Experiment For The Statistical Characterization Of Faults In Avionics Communication System, Amy M. Yates

Electrical & Computer Engineering Theses & Dissertations

Since flight control systems perform safety-critical functions, it is important to understand the possible effects on the closed-loop dynamical system's performance caused by these faults. The purpose of this project is to design the software and hardware needed to add fault-injection and monitoring capabilities to ROBUS-2, a flight communication system. ROBUS-2 is the current version of the fault-tolerant computer communication system used by the Scalable Processor-Independent Design for Enhanced Reliability (SPIDER), a general-purpose fault-tolerant integrated modular architecture (IMA) developed at the NASA Langley Research Center. The major components of SPIDER include processing elements (PEs) to perform calculations, bus interface units …


Effects Of National Culture On Types Of Knowledge Sharing In Virtual Communities, Keng SIAU, J. ERICKSON, Fiona Fui-hoon NAH 2010 Singapore Management University

Effects Of National Culture On Types Of Knowledge Sharing In Virtual Communities, Keng Siau, J. Erickson, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Organizations are using virtual communities to facilitate knowledge management and to enhance communication among employees, customers, and other interested individuals. Individual users can use virtual communities to engage in knowledge sharing. Professional communicators need to understand and adapt to a globalized and “flat” world, where people across different cultures interact freely and easily with one another in virtual communities. An intriguing question regarding virtual communities relates to whether national culture affects communication and types of knowledge sharing. This study examines the influence of US and Chinese national cultures on types of knowledge-sharing activities in virtual communities. The findings indicate that …


Data-Driven Approaches To Community-Contributed Video Applications, Xiao WU, Chong-wah NGO, Wan-Lei ZHAO 2010 Singapore Management University

Data-Driven Approaches To Community-Contributed Video Applications, Xiao Wu, Chong-Wah Ngo, Wan-Lei Zhao

Research Collection School Of Computing and Information Systems

With the prosperity of video-sharing websites such as YouTube, the amount of community-contributed video has increased dramatically. Reportedly more than 65,000 new videos were uploaded to YouTube every day in July 2006 and it's estimated that 20 hours of new videos were uploaded to the site every minute in May 2009. In addition to the huge volume of video data, the social Web provides rich contextual and social resources associated with videos. These resources include title, tags, thumbnails, related videos, and user and community information, as illustrated in Figure 1. While billions of user-generated videos accompanied with rich-media information have …


Biological Computation, Melanie Mitchell 2010 Portland State University

Biological Computation, Melanie Mitchell

Computer Science Faculty Publications and Presentations

In this article, the term biological computation refers to the proposal that living organisms themselves perform computations, and, more specifically, that the abstract ideas of information and computation may be key to understanding biology in a more unified manner. It is important to point out that the study of biological computation is typically not the focus of the field of computational biology, which applies computing tools to the solution of specific biological problems. Likewise, biological computation is distinct from the field of biologically-inspired computing, which borrows ideas from biological systems such as the brain, insect colonies, and the immune system …


Signal Detection Framework Using Semantic Text Mining Techniques, Sithu D. Sudarsan 2010 University of Arkansas Little Rock

Signal Detection Framework Using Semantic Text Mining Techniques, Sithu D. Sudarsan

Theses and Dissertations

Signal detection is a challenging task for regulatory and intelligence agencies. Subject matter experts in those agencies analyze documents, generally containing narrative text in a time bound manner for signals by identification, evaluation and confirmation, leading to follow-up action e.g., recalling a defective product or public advisory for potential flu outbreak. Technical challenges to achieve effective signal detection include mining unstructured data, increasing document collections, and presence of multi-domain vocabulary. Lack of annotation and multi-domain vocabulary makes traditional semantic web mining ineffective. Use of heuristics to enhance bag-of-words type text mining to semantic text mining is a novel idea attempted …


Mirthconnect Howto Document, Sebastien Pardon, Damon Berry 2010 Technological University Dublin

Mirthconnect Howto Document, Sebastien Pardon, Damon Berry

Reports

This document aims at describing the steps involved in installing and configuring Mirth Connect so as to produce an EN13606-compliant record extract from an HL7v2 message using the LinkedEHR- produced xquery.


Paper Chase: Resources To Organize Your Papers And Bibliographies, Sharon Bradley 2010 University of Georgia School of Law Library

Paper Chase: Resources To Organize Your Papers And Bibliographies, Sharon Bradley

Presentations

Shares data and information management software that is freely available on the Internet for personal and professional use. Includes overviews of Zotero, Evernote, and Mendeley, which enable users to format bibliographies as well as share and save important information as documents, photographs and audio files.


Reputation-Based Internet Protocol Security: A Multilayer Security Framework For Mobil Ad Hoc Networks, Timothy H. Lacey 2010 Air Force Institute of Technology

Reputation-Based Internet Protocol Security: A Multilayer Security Framework For Mobil Ad Hoc Networks, Timothy H. Lacey

Theses and Dissertations

This research effort examines the theory, application, and results for a Reputation-based Internet Protocol Security (RIPSec) framework that provides security for an ad-hoc network operating in a hostile environment. In RIPSec, protection from external threats is provided in the form of encrypted communication links and encryption-wrapped nodes while internal threats are mitigated by behavior grading that assigns reputations to nodes based on their demonstrated participation in the routing process. Network availability is provided by behavior grading and round-robin multipath routing. If a node behaves faithfully, it earns a positive reputation over time. If a node misbehaves (for any number of …


Knowledge-Based Decision Support In Department Of Defense Acquisitions, Clifton L. Hicks 2010 Air Force Institute of Technology

Knowledge-Based Decision Support In Department Of Defense Acquisitions, Clifton L. Hicks

Theses and Dissertations

Despite numerous reform efforts over the past 30 years, acquisition programs in the Department of Defense (DoD) continue to experience cost overruns and schedule delays. One contributing factor is the decision-making process used by defense officials. The General Accounting Office (GAO) has stated that ‘poor program outcomes are the lack of widespread adoption of a knowledge-based acquisition process within DoD despite polices that support such a process. A knowledge-based business case at the outset of each program would alleviate overpromising on cost, schedule, and performance and would empower program managers.’ Effective decision-making for acquisition programs is very important. It not …


Improving The Quality Of Service And Security Of Military Networks With A Network Tasking Order Process, Matthew D. Compton 2010 Air Force Institute of Technology

Improving The Quality Of Service And Security Of Military Networks With A Network Tasking Order Process, Matthew D. Compton

Theses and Dissertations

This research presents a Network Tasking Order process that collects mission plans, network capabilities, and historical records to build a Network Tasking Order (NTO). The NTO document directs the form and usage of the network, much like an Air Tasking Order (ATO) directs the usage of air power. The NTO process is fleshed out with the content and format of the NTO given herein for the first time. Tools such as topology control algorithms are then shown through simulation to improve the quality of service of the network by finding favorable ways to connect the assets identified during the NTO …


Applying Image Matching To Video Analysis, Adam J. Behring 2010 Air Force Institute of Technology

Applying Image Matching To Video Analysis, Adam J. Behring

Theses and Dissertations

Dealing with the volume of multimedia collected on a daily basis for intelligence gathering and digital forensics investigations requires significant manual analysis. A component of this problem is that a video may be reanalyzed that has already been analyzed. Identifying duplicate video sequences is difficult due to differences in videos of varying quality and size. This research uses a kd-tree structure to increase image matching speed. Keypoints are generated and added to a kd-tree of a large dimensionality (128 dimensions). All of the keypoints for the set of images are used to construct a global kd-tree, which allows nearest neighbor …


Hijacking User Uploads To Online Persistent Data Repositories For Covert Data Exfiltration, Curtis P. Barnard 2010 Air Force Institute of Technology

Hijacking User Uploads To Online Persistent Data Repositories For Covert Data Exfiltration, Curtis P. Barnard

Theses and Dissertations

As malware has evolved over the years, it has gone from harmless programs that copy themselves into other executables to modern day botnets that perform bank fraud and identity theft. Modern malware often has a need to communicate back to the author, or other machines that are also infected. Several techniques for transmitting this data covertly have been developed over the years which vary significantly in their level of sophistication. This research creates a new covert channel technique for stealing information from a network by piggybacking on user-generated network traffic. Specifically, steganography drop boxes and passive covert channels are merged …


A Tutorial On Functional Program Verification, Yoonsik Cheon, Melisa Vela 2010 The University of Texas at El Paso

From Interval And Probabilistic Granules To Granules Of Higher Order, Vladik Kreinovich 2010 The University of Texas at El Paso

From Interval And Probabilistic Granules To Granules Of Higher Order, Vladik Kreinovich

Departmental Technical Reports (CS)

Constructive mathematics, mathematics in which the existence of an object means that that we can actually construct this object, started as a heavily restricted version of mathematics, a version in which many commonly used mathematical techniques (like the Law of Excluded Middle) were forbidden to maintain constructivity. Eventually, it turned out that not only constructive mathematics is not a weakened version of the classical one -- as it was originally perceived -- but that, vice versa, classical mathematics can be viewed as a particular (thus, weaker) case of the constructive one. Crucial results in this direction were obtained by M. …


Visualization To Support The Discovery Of Prosodic Contours Related To Turn-Taking, Nigel Ward, Joshua L. McCartney 2010 The University of Texas at El Paso

Visualization To Support The Discovery Of Prosodic Contours Related To Turn-Taking, Nigel Ward, Joshua L. Mccartney

Departmental Technical Reports (CS)

Some meaningful prosodic patterns can be usefully represented with pitch contours, however the development of such descriptions is a labor-intensive process. To assist in the discovery of contours, visualization tools may be helpful. Edlund et al. (2009) presented the idea of superimposing hundreds of pitch curves from a corpus as a way to see the overall patterns. In this paper we refine and extend this method and illustrate its utility in the discovery of a prosodic cue to back-channels in Chinese. We also discuss issues in relating a contour-based description to one in terms of a conjunction of features, and …


Computing Standard-Deviation-To-Mean And Variance-To-Mean Ratios Under Interval Uncertainty Is Np-Hard, Sio-Long Lo 2010 University of Texas at El Paso

Computing Standard-Deviation-To-Mean And Variance-To-Mean Ratios Under Interval Uncertainty Is Np-Hard, Sio-Long Lo

Departmental Technical Reports (CS)

Once we have a collection of values x1, ..., ,xn corresponding a class of objects, a usual way to decide whether a new object with the value x of the corresponding property belongs to this class is to check whether the value x belongs to interval [E - k0 * s, E + k0 * s], where E = (1/n) * (x1 + ... + xn) is the sample mean, V = s^2 = (1/n) * ((x1 - E)^2 + ... + (xn - E)^2) is the sample variance, and the parameter k0 is determined by the degree of confidence …


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