Computer Sciences Commons^™

Characterizing Overlay Multicast Networks And Their Costs, Sonia Fahmyl, Minseok Kwon

Department of Computer Science Technical Reports

No abstract provided.

Anonymizing Web Services Through A Club Mechanism With Economic Incentives, Mamata Jenamani, Leszek Lilien, Bharat Bhargava

Department of Computer Science Technical Reports

No abstract provided.

Change Tolerant Indexing For Constantly Evolving Data, Reynold Cheng, Yuni Xia, Sunil Prabhakar, Rahul Shah

Department of Computer Science Technical Reports

No abstract provided.

Virtual Teams Combining Mobile Devices With Web-Based Communication On Group Decision Making, Hyo-Joo Han

Dissertations

Organizations have moved from a face-to-face team environment to a virtual team environment using communication technology during the last decade. More and more workers use asynchronous tools (including email, discussion groups, information sharing tools, and group calendaring systems), and synchronous tools, such as instant messaging and web-based chatting features, to coordinate and share information with people within and outside of organizations. This empirical study on how virtual teams work, integrating mobile devices with web-based group communication for decision-making tasks, examines which technologies and communication modes are the best for distributed group teamwork, and, mainly, what are the predictive characteristics making …

The Impacts Of Delphi Communication Structure On Small And Medium Sized Asynchronous Virtual Teams, Hee-Kyung Cho

Dissertations

The improvement of Internet technology has motivated distributed work groups to collaborate without meeting face to face. Although asynchronous meetings through Web-based group communications systems enable groups dispersed temporarily and geographically to collaborate more flexibly, parallel and non-linear communication among dispersed members also challenge effective and efficient group coordination. Moreover, the Web-based asynchronous meeting is distinguished not only from the face-to-face meeting but also from the synchronous computer-supported meeting in terms of coordination process. However, previous asynchronous group communications or virtual team research focused more on the comparison of this new type of meeting with the face-to-face meeting. Not many …

An Analysis Of The Periodicity Of The Cell Cycle And Apoptotic Regulatory Proteins In Prostate Xenografts Using Anova And Cosinor Methods, Aleen Hosdaghian

Theses

Circadian rhythms have been found in both plants and animals, in normal tissues as well as in most tumors and human cancers. By following these rhythms in healthy and cancerous tissue, it has been possible to find optimal times to deliver a dose of drug, such that efficacy is maximized and toxicity to normal tissues is minimized. In this study, the periodicity of several cell cycle and apoptotic regulatory proteins were studied in two prostate cancer models against a dietary therapeutic agent, Selenium. The ALVA-3 1 (androgen-independent) and PC-3 (androgen-independent) prostate cancer cell lines were grown in vivo, as a …

Simulation And Mathematical Notation Of Alarms Unit For Computer Assisted Resuscitation Algorithm, Swaroop Malangi

Theses

The Computer Assisted Resuscitation Algorithm [CARA] is a system that is used to drive a high output infusion pump used for infusing saline into patients suffering from conditions that lead to hypotension. The infusion pump infuses saline at a particular rate into the patient depending on the blood pressure of the patient.

The alarms unit of CARA was simulated for the infusion pump in which the occurrence of alarms depends on the various criteria the infusion pump encounters when saline is being infused into patients. Various criteria may vary from an air bubble in the line to varying high and …

Handling Catastrophic Failures In Scalable Internet Applications, Michael Haungs, Raju Pandey, Earl Barr

Computer Science and Software Engineering

User perceived quality is the most important aspect of Internet applications. After a single negative experience, users tend to switch to one of the other myriad of alternatives available to them on the Internet. Two key components of Internet application quality are scalability and reliability. In this paper, we present the first general-purpose mechanism capable of maintaining reliability in the face of process, machine, and catastrophic failures. We define catastrophic failures as events that cause entire clusters of servers to become unavailable such as network partitioning, router failures, natural disasters, or even terrorist attacks. Our mechanism utilizes client-side tunneling, clientside …

Camrit: Control-Based Adaptive Middleware For Real-Time Image Transmission, Xiaorui Wang, Huang-Ming Huang, Venkita Subramonian, Chenyang Lu, Christopher Gill

All Computer Science and Engineering Research

Real-time image transmission is crucial to an emerging class of distributed embedded systems operating in open network environments. Examples include avionics mission re-planning over Link-16, security systems based on wireless camera networks, and online collaboration using camera phones. Meeting image transmission deadlines is a key chal-lenge in such systems due to unpredictable network condi-tions. In this paper, we present the design, modeling, and analysis of CAMRIT, a Control-based Adaptive Middleware framework for Real-time Image Transmission in distributed real-time embedded systems. CAMRIT features a distributed feedback control loop that meets image transmission dead-lines by dynamically adjusting the quality of image tiles. …

A Study In Modeling Low-Conservation Protein Superfamilies, Chang Wang, Stephen Scott, Jun Zhang, Qingping Tao, Dmitri E. Fomenko, Vadim N. Gladyshev

School of Computing: Technical Reports

We present several algorithms for identification of new proteins in superfamilies with low primary sequence conservation. The low conservation of primary sequence in protein superfamilies such as Thioredoxin-fold (Trxfold) makes conventional methods such as hidden Markov models (HMMs) difficult to use. Therefore, we use structural properties to build our classifiers. These structural properties include secondary structure patterns as well as various properties of the residues in the protein sequences. We use this information to model proteins via hidden Markov models, support vector machines and algorithms in the multiple-instance learning model. In 20-fold jackknife tests, some of our models performed well, …

Tool Support For Two-Tiered Architectural Design For Automotive Control Systems, Kevin Steppe, Greg Bylenok, David Garlan, Bradley Schmerl, Kanat Abirov, Nataliya Shevchenko

Research Collection School Of Computing and Information Systems

An attractive approach to architecture-based design is to structure the development process into two tiers. The top tier represents the abstract design (or architecture) of a system in terms of abstract components. The bottom tier refines that design by making specific implementation decisions, such as platform, middleware, and component implementations. While attractive in principle, there has been relatively little industrial-based experience to shed light on problems and solutions involved in such an approach. In this paper we describe our experience in developing tools to introduce a two-tiered model-based approach to the design of Ford Motor Company’s automotive control systems, highlighting …

Greenpass: Flexible And Scalable Authorization For Wireless Networks, Sean Smith, Nicholas C. Goffee, Sung Hoon Kim, Punch Taylor, Meiyuan Zhao, John Marchesini

Computer Science Technical Reports

Wireless networks break the implicit assumptions that supported authorization in wired networks (that is: if one could connect, then one must be authorized). However, ensuring that only authorized users can access a campus-wide wireless network creates many challenges: we must permit authorized guests to access the same network resources that internal users do; we must accommodate the de-centralized way that authority flows in real universities; we also must work within standards, and accommodate the laptops and systems that users already have, without requiring additional software or plug-ins.

This paper describes our ongoing project to address this problem, using SPKI/SDSI delegation …

Sils Mrat: A Multi-Agent Decision-Support System For Shipboard Integration Of Logistics Systems, Michael Zang, Jonathan Lee, Joyce Gaoiran, Adam Gray, Jered Gray, Charles Hayek, David Nau, Chad Pond, Michael Rutter, Zachary Speck, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

This report describes work performed by CDM Technologies Inc. on subcontract to ManTech Advanced Systems International, Inc. (Fairmont, West Virginia), and under sponsorship of the Office of Naval Research (ONR). The principal aim of the SILS (Shipboard Integration of Logistics Systems) project is to provide a decision-support capability for Navy ships that integrates shipboard logistical and tactical systems within a near real-time, automated, computer-based shipboard readiness and situation awareness facility. Specifically, SILS is intended to provide the captain of a ship and his staff with an accurate evaluation of the current condition of the ship, based on the ability of …

Comparison Of Modis And Avhrr 16-Day Normalized Difference Vegetation Index Composite Data, Kevin P. Gallo, Lei Ji, Brad Reed, John Dwyer, Jeffrey Eidenshink

School of Natural Resources: Faculty Publications

Normalized difference vegetation index (NDVI) data derived from visible and near-infrared data acquired by the MODIS and AVHRR sensors were compared over the same time periods and a variety of land cover classes within the conterminous USA. The relationship between the AVHRR derived NDVI values and those of future sensors is critical to continued long term monitoring of land surface properties. The results indicate that the 16-day composite values are quite similar over the 23 intervals of 2001 that were analyzed, and a linear relationship exists between the NDVI values from the two sensors. The composite AVHRR NDVI data were …

Self-Motivated, Task-Independent Reinforcement Learning For Robots, Lisa Meeden, James Marshall, Doug Blank

Computer Science Faculty Research and Scholarship

This paper describes a method for designing robots to learn self-motivated behaviors rather than externally specified be- haviors. Self-motivation is viewed as an emergent property arising from two competing pressures: the need to accu- rately predict the environment while simultaneously wanting to seek out novelty in the environment. The robot’s inter- nal prediction error is used to generate a reinforcement signal that pushes the robot to focus on areas of high error or nov- elty. A set of experiments are performed on a simulated robot to demonstrate the feasibility of this approach. The simulated robot is based directly on an …

Robot Self-Motivation: Balancing "Boredom" And "Confusion", James Marshall, Doug Blank, Lisa Meeden

Computer Science Faculty Research and Scholarship

No abstract provided.

The Governor Architecture: Avoiding Catastrophic Forgetting In Robot Learning, Jeremy Strober, Lisa Meeden, Doug Blank

Computer Science Faculty Research and Scholarship

The governor architecture is a new method for avoiding catatrophic forgetting in neural networks that is particularly useful in online robot learn- ing. The governor architecture uses a categorizer to identify events and excise long sequences of repetitive data that cause catastrophic forgetting in neural networks trained on robot-based tasks. We examine the performance of several variations of the governor architecture on a number of re- lated localization tasks using a simulated robot. The results show that governed networks perform far better than ungoverned networks. Governored networks are able to reliably and robustly prevent catastrophic forgetting in robot learning tasks.

Image Compression And Its Effect On Data, Khaled S. Alkharabsheh

Theses, Dissertations and Capstones

This thesis is intended to define and study different image compression techniques, software programs, image formats (from early ones such as “GIF” to most recent ones such as “JPEG 2000”), compression effect on compressed data (compressed images), and its effectiveness and usefulness in reducing the file size and its transmission time, as a result.

In many GeoBioPhysical applications, some information inside any image may be the keys to solve different kinds of problems and classify features. This kind of data and information has to be handled with care; i.e. it’s not allowed to be lost during the compression process. On …

Scheduling Sleeping Nodes In High Density Cluster-Based Sensor Networks, Jing Deng, Yunghsiang S. Han, Wendi B. Heinzelman, Pramod K. Varshney

Electrical Engineering and Computer Science - All Scholarship

In order to conserve battery power in very dense sensor networks, some sensor nodes may be put into the sleep state while other sensor nodes remain active for the sensing and communication tasks. In this paper, we study the node sleep scheduling problem in the context of clustered sensor networks. We propose and analyze the Linear Distance-based Scheduling (LDS) technique for sleeping in each cluster. The LDS scheme selects a sensor node to sleep with higher probability when it is farther away from the cluster head. We analyze the energy consumption, the sensing coverage property, and the network lifetime of …

Design And Implementation Of Audio/Video Collaboration System Based On Publish/Subscribe Event Middleware, Geoffrey C. Fox, Wenjun Wu, Ahmet Uyar, Hasan Bulut

Electrical Engineering and Computer Science - All Scholarship

In this paper we present our A/V collaboration system based on our XGSP collaboration framework and NaradaBrokering messaging middleware. Using publish/subscribe event model, this system can provide videoconferencing services to heterogeneous endpoints such as H.323, SIP and Access Grid. This paper discusses the common a/v collaboration model shared by all kinds of A/V conferencing clients and introduces the details about how to implement such a model based on publish/subscribe event middleware.

Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 20, Number 3, January 2004, College Of Engineering And Computer Science, Wright State University

BITs and PCs Newsletter

A ten page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.

Graduate School Of Computer And Information Sciences--Master Of Science Degree Programs 2004-2005, Nova Southeastern University

College of Engineering and Computing Course Catalogs

No abstract provided.

A Syntactic Parser With Semantic Filtering For Biomedical Text, Gondy Leroy, Thomas C. Rindflesch, Bisharah Libbus, Halil Kilicoglu, Hsinchun Chen

CGU Faculty Publications and Research

No abstract provided.

Using Symbolic Knowledge In The Umls To Disambiguate Words In Small Datasets With A Naive Bayes Classifier, Gondy Leroy, Thomas C. Rindflesch

CGU Faculty Publications and Research

Current approaches to word sense disambiguation use and combine various machine-learning techniques. Most refer to characteristics of the ambiguous word and surrounding words and are based on hundreds of examples. Unfortunately, developing large training sets is time-consuming. We investigate the use of symbolic knowledge to augment machine-learning techniques for small datasets. UMLS semantic types assigned to concepts found in the sentence and relationships between these semantic types form the knowledge base. A naïve Bayes classifier was trained for 15 words with 100 examples for each. The most frequent sense of a word served as the baseline. The effect of increasingly …

Using Web Services To Integrate Heterogeneous Simulations In A Grid Environment, J. Mark Pullen, Ryan Brunton, Don Brutzman, David Drake, Michael Hieb, Katherine L. Morse, Andreas Tolk

Computational Modeling & Simulation Engineering Faculty Publications

The distributed information technologies collectively known as Web services recently have demonstrated powerful capabilities for scalable interoperation of heterogeneous software across a wide variety of networked platforms. This approach supports a rapid integration cycle and shows promise for ultimately supporting automatic composability of services using discovery via registries. This paper presents a rationale for extending Web services to distributed simulation environments, including the High Level Architecture (HLA), together with a description and examples of the integration methodology used to develop significant prototype implementations. A logical next step is combining the power of Grid computing with Web services to facilitate rapid …

What Effect Does Spyware Have On Consumer Trust, And Will Its Use Ever Be Acceptable?, James Anthony Hatton

The Corinthian

Trust literature has been thoroughly developed in the field of Information Systems. However, recent innovations in broadband networks and the growing popularity of the Internet has brought rise to software called spyware - a program that employs a user's Internet connection in the background without the user's knowledge or explicit permission. This study attempts to analyze spyware and explore the nature of its effect on consumer trust. Additionally, the research examines what controls, if any may make the use of spyware acceptable to the consumer.

Tr-2004001: Tableaux For The Logic Of Proofs, Bryan Renne

Computer Science Technical Reports

No abstract provided.

Tr-2004004: Implementing And Automating Basic Number Theory In Metaprl Proof Assistant, Yegor Bryukhov, Alexei Kopylov, Vladimir Krupski, Aleksey Nogin

Computer Science Technical Reports

No abstract provided.

A Scalable Approach For Reliable Downstream Data Delivery In Wireless Sensor Networks, Seung Jong Park, Ramanuja Vedantham, Raghupathy Sivakumar, Ian F. Akyildiz

Computer Science Faculty Research & Creative Works

There exist several applications of sensor networks where reliability of data delivery can be critical. While the redundancy inherent in a sensor network might increase the degree of reliability, it by no means can provide any guaranteed reliability semantics. In this paper, we consider the problem of reliable sink-to-sensors data delivery. We first identify several fundamental challenges that need to be addressed and are unique to a wireless sensor network environment. We then propose a scalable framework for reliable down-stream data delivery that is specifically designed to both address and leverage the characteristics of a wireless sensor network, while achieving …

The Threat Of Cyberterrorism: Contemporary Consequences And Prescriptions, Galen Asher Thomas Stocking

Theses Digitization Project

This study researches the varying threats that emanate from terrorists who carry their activity into the online arena. It examines several elements of this threat, including virtual to virtual attacks and threats to critical infrastructure that can be traced to online sources. It then reports on the methods that terrorists employ in using information technology such as the internet for propaganda and other communication purposes. It discusses how the United States government has responded to these problems, and concludes with recommendations for best practices.