Digital Commons Network^™

Tr-2004018: Evidence-Based Common Knowledge, Sergei Artemov

Computer Science Technical Reports

No abstract provided.

Tr-2004019: Quantified Lp, Melvin Fitting

Computer Science Technical Reports

No abstract provided.

Tr-2004002: Oopn: An Object-Oriented Petri Nets And Its Integrated Development Environment, Jinzhong Niu, Jing Zou, Aihua Ren

Computer Science Technical Reports

No abstract provided.

Tr-2004005: A Parallel Monte Carlo Simulation Of Five-Dimensional Hyperspheres Using A Webcomputing Framework, P. A. Whitlock, Marvin Bishop, Dino Klein

Computer Science Technical Reports

No abstract provided.

Tr-2004008: Simultaneous Fuzzy Segmentation Of Multiple Objects, Bruno M. Carvalho, Gabor T. Herman, T. Yung Kong

Computer Science Technical Reports

No abstract provided.

Tr-2004009: A Reduction Of The Matrix Eigenproblem To Polynomial Rootfinding Via Similarity Transforms Into Arrow-Head Matrices, Victor Y. Pan

Computer Science Technical Reports

No abstract provided.

Tr-2004013: Toeplitz And Hankel Meet Hensel And Newton: Nearly Optimal Algorithms And Their Practical Acceleration With Saturated Initialization, Victor Y. Pan, Brian Murphy, Rhys E. Rosholt, Xinmao Wang

Computer Science Technical Reports

No abstract provided.

Tr-2004015: Superfast Algorithms For Singular Toeplitz-Like Matrices, Victor Y. Pan

Computer Science Technical Reports

No abstract provided.

Tr-2004016: Semantics And Tableaus For Lps4, Melvin Fitting

Computer Science Technical Reports

No abstract provided.

Smart Sequence Similarity Search (S⁴) System, Zhuo Chen

Theses Digitization Project

Sequence similarity searching is commonly used to help clarify the biochemical and physiological features of newly discovered genes or proteins. An efficient similarity search relies on the choice of tools and their associated subprograms and numerous parameter settings. To assist researchers in selecting optimal programs and parameter settings for efficient sequence similarity searches, the web-based expert system, Smart Sequence Similarity Search (S4) was developed.

Privacy-Preserving Multivariate Statistical Analysis: Linear Regression And Classification, Wenliang Du, Yunghsiang S. Han, Shigang Chen

Electrical Engineering and Computer Science - All Scholarship

Analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analysis methods in Secure 2-party Computation (S2C) framework illustrated by the following scenario: two parties, each having a secret data set, want to conduct the statistical analysis on their joint data, but neither party is willing to disclose its private data to the other party or any third party. The current statistical analysis techniques cannot be used directly to support this kind of computation because they require all parties to send the necessary data to a central place. In this paper, We define …

Building Desktop Applications With Web Service In A Message-Based Mvc Paradigm”, To Appear, Xiaohong Qiu

Electrical Engineering and Computer Science - All Scholarship

Over the past decade, classic client side applications with Model-View-Controller (MVC) architecture haven’t changed much but become more complex. In this paper, we present an approach of building desktop applications with Web Services in an explicit message-based MVC paradigm. By integrating with our publish/subscribe messaging middleware, it makes SVG browser (a Microsoft PowerPoint like client application) with Web Service style interfaces universally accessible from different client platforms ─ Windows, Linux, MacOS, PalmOS and other customized ones. Performance data suggests that this scheme of building application around messages is a practical architecture for the next generation Web application client.

A Key Management Scheme For Wireless Sensor Networks Using Deployment Knowledge, Wenliang Du, Jing Deng, Yunghsiang S. Han, Shigang Chen

Electrical Engineering and Computer Science - All Scholarship

To achieve security in wireless sensor networks, it is important to be able to encrypt messages sent among sensor nodes. Keys for encryption purposes must be agreed upon by communicating nodes. Due to resource constraints, achieving such key agreement in wireless sensor networks is non-trivial. Many key agreement schemes used in general networks, such as Diffie-Hellman and public-key based schemes, are not suitable for wireless sensor networks. Pre-distribution of secret keys for all pairs of nodes is not viable due to the large amount of memory used when the network size is large. Recently, a random key predistribution scheme and …

Uncheatable Grid Computing, Wenliang Du, Jing Jia, Manish Mangal, Mummoorthy Murugesan

Electrical Engineering and Computer Science - All Scholarship

Grid computing is a type of distributed computing that has shown promising applications in many fields. A great concern in grid computing is the cheating problem described in the following: a participant is given D = {x1,...,xn}, it needs to compute f(x) for all x ∈ D and return the results of interest to the supervisor. How does the supervisor efficiently ensure that the participant has computed f(x) for all the inputs in D, rather than a subset of it? If participants get paid for conducting the task, there are incentives for cheating. In this paper, we propose a novel …

Adaptive Intelligent User Interfaces With Emotion Recognition, Fatma Nasoz

Electronic Theses and Dissertations

The focus of this dissertation is on creating Adaptive Intelligent User Interfaces to facilitate enhanced natural communication during the Human-Computer Interaction by recognizing users' affective states (i.e., emotions experienced by the users) and responding to those emotions by adapting to the current situation via an affective user model created for each user. Controlled experiments were designed and conducted in a laboratory environment and in a Virtual Reality environment to collect physiological data signals from participants experiencing specific emotions. Algorithms (k-Nearest Neighbor [KNN], Discriminant Function Analysis [DFA], Marquardt-Backpropagation [MBP], and Resilient Backpropagation [RBP]) were implemented to analyze the collected data signals …

Speech Enabled E-Learning Technology For Adult Literacy Tutoring, Jason Meade

Theses

This research presents the work involved in developing a speech-enabled e-Learning prototype for use in literacy tutoring. As the main objective was to develop an interface for literacy learning, initial research concentrated on establishing a framework for literacy e-Leaming through the use of speech technology. Requirements for best practice e-Learning and the relevance of learning theories to an e-Learning application were also investigated. The technologies to facilitate this, such as text to speech technologies and mark-up languages, were addressed during the implementation of speech-enabled prototypes. Both server-side and client-side prototypes were implemented to investigate speech technology. Testing found the server-side …

A Similarity Based Concordance Approach To Word Sense Disambiguation, Ramakrishnan B. Guru

Masters Theses

This study attempts to solve the problem of Word Sense Disambiguation using a combination of statistical, probabilistic and word matching algorithms. These algorithms consider that words and sentences have some hidden similarities and that the polysemous words in any context should be assigned to a sense after each execution of the algorithm. The algorithm was tested with sufficient sample data and the efficiency of the disambiguation performance has proven to increase significantly after the inclusion of the concordance methodology.

A Fast And Simple Algorithm For Computing M-Shortest Paths In State Graph, M. Sherwood, Laxmi P. Gewali, Henry Selvaraj, Venkatesan Muthukumar

Electrical & Computer Engineering Faculty Research

We consider the problem of computing m shortest paths between a source node s and a target node t in a stage graph. Polynomial time algorithms known to solve this problem use complicated data structures. This paper proposes a very simple algorithm for computing all m shortest paths in a stage graph efficiently. The proposed algorithm does not use any complicated data structure and can be implemented in a straightforward way by using only array data structure. This problem appears as a sub-problem for planning risk reduced multiple k-legged trajectories for aerial vehicles.

Development Of A Systems Engineering Model Of The Chemical Separations Process, Yitung Chen, Darrell Pepper, Sean Hsieh

Separations Campaign (TRP)

The chemical processing of used nuclear fuel is an integral component of any strategy for the transmutation of nuclear waste. Due to the large volume of material that must be handled in this first step of the transmutation process, the efficiency of the separations process is a key factor in the potential economic viability of the transmutation strategies. The ability to optimize the chemical separation systems is vital to ensure the feasibility of the transmutation program.

Systems analysis, or total systems modeling, is one of the strongest tools available to researchers for understanding and optimizing complex systems such as chemical …

Dit-Call: Naturally Speaking But Slow, Dermot Campbell, Marty Meinardi, Bunny Richardson, Eugene Coyle, Olivia Donnellan, Pak Kui Leung, Ciaran Macdonaill, Elmar Jung, Charles Pritchard

Articles

This paper introduces a new development in speech technology and describes its planned application in an EFL context. Special attention is paid to the pedagogical potential of the resultant language tool.

Using Autonomous Robots To Integrate Middle School Academic Standards, Technology Standards, And 21st Century Workplace Skills, Barbara M. Burckart

CCAC Theses and Dissertations

The amount of knowledge that students are required to master continues to grow. Teachers struggle to find age appropriate ways to integrate state academic standards, technology standards, and 21st century workplace skills. Improved problem solving skills are deemed important to these standards as well as in the workplace. This dissertation utilized a robot design project to examine the changes in problem solving skills of seventh grade science students. In the process, 21st century workplace skills, technology standards, and South Carolina middle school science and math standards were identified and integrated into the learning process.

To test the validity of the …

Applying Security Risk Management To Internet Connectivity In K-12 Schools And School Districts, Carol C. Woody

CCAC Theses and Dissertations

Internet connectivity has been added to the classrooms of United States (U.S .) K-12 schools, but recognition of the security risks and related management responsibilities to address increased risk exposure is not apparent. Providing a sufficient level of access for K-12 students to learn through exploration and experimentation needs to be balanced with sufficient limitations to minimize the risk of technically proficient participants inflicting harm through school resources. Problems of inappropriate use such as adjusting grades, tampering with work of other students, and defacing Web sites by K-12 students are already appearing in U.S. newspapers. In addition, the growing level …

Java-Based Digital Library Portal For Geography Education, Zehua Liu, Hai Yuan, Ee Peng Lim, Ming Yin, Dion Hoe-Lian Goh, Yin-Leng Theng, Wee-Keong Ng

Research Collection School Of Computing and Information Systems

G-Portal is a Java-based digital library system for managing the metadata of geography related resources on the Web. In addition to providing a flexible repository subsystem to accommodate metadata of different formats using XML and XML Schemas, G-Portal organizes metadata into projects and layers, and supports an integrated and synchronized classification and map-based interfaces over the stored metadata. G-Portal also includes a classification subsystem that creates category structures and classifies metadata resources into categories based on user-specified classification schemas. Furthermore, G-Portal users can annotate resources and make their annotations available to others. In this paper, we describe the design and …

Supply Chains Integration: Architecture And Enabling Technologies, Keng Siau, Yuhong Tian

Research Collection School Of Computing and Information Systems

An effective and efficient supply chain is vital to the competitiveness and the survival of an organization. With the emergence of the e-business era, supply chain systems need to be able to extend beyond the traditional boundaries. This paper proposes integrated supply chain architecture (SCA) that combines the benefits of Enterprise Resource Planning (ERP) and the various supply chain applications. Some necessary criteria for an integrated supply chain include completeness, security, flexibility, scalability, and interoperability. The enabling technologies for such a supply chain system include XML, DCOM, CORBA, SOAP, Net, and Semantic Web. Wireless and mobile technologies could further extend …

Viscors: A Visual-Content Recommender For The Mobile Web, Chan Young Kim, Jae Kyu Lee, Yoon Ho Cho, Deok Hwan Kim

Research Collection School Of Computing and Information Systems

Current search methods for mobile-Web content can be frustrating to use. To shorten searches for cell phone wallpaper images, VISCORS combines collaborative filtering with content-based image retrieval. An increasing selection of content is becoming available in the mobile-Web environment, where users navigate the Web using wireless devices such as cell phones and PDAs. The fast growth and excellent prospects of the mobile-Web content market have attracted many content providers.

Incremental Genetic K-Means Algorithm And Its Application In Gene Expression Data Analysis, Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, Susan J. Brown

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms such as K-means, hierarchical clustering, SOM, etc, genes are partitioned into groups based on the similarity between their expression profiles. In this way, functionally related genes are identified. As the amount of laboratory data in molecular biology grows exponentially each year due to advanced technologies such as Microarray, new efficient and effective methods for clustering must be developed to process this growing amount of biological data.

Results

In this paper, we propose a new clustering …

Decision Fusion In A Wireless Sensor Network With A Large Number Of Sensors, Ruixin Niu, Michael Moore, Dale Klamer

Electrical Engineering and Computer Science - All Scholarship

For a wireless sensor network (WSN) with a large number of sensors, a decision fusion rule using the total number of detections reported by local sensors for hypothesis testing, is proposed and studied. Based on a signal attenuation model where the received signal power decays as the distance from the target increases, the system level detection performance, namely probabilities of detection and false alarms, are derived and calculated. Without the knowledge of local sensors' performances and at low signal to noise ratio (SNR), this fusion rule can still achieve very good system level detection performance if the number of sensors …

Design And Implementation Of A Collaboration Web-Services System, Wenjun Wu, Geoffrey C. Fox, Hasan Bulut, Ahmet Uyar, Harun Altay

Electrical Engineering and Computer Science - All Scholarship

Conference control has been studied for years but most researches focus on homogenous collaboration. There is no conference control framework for integration of multiple collaboration systems such as H.323, SIP and AccessGrid. In this paper we present a web-services based scalable conference control framework for such a heterogeneous collaboration system. Based on this framework, we implemented a prototype system to verify and refine our framework. This system can support various conferencing endpoints and communities.

Sensor Fusion For Video Surveillance, Lauro Snidaro, Gian Luca Foresti, Ruixin Niu, Pramod K. Varshney

Electrical Engineering and Computer Science - All Scholarship

In this paper, a multisensor data fusion system for object tracking is presented. It is able to track in real-time multiple targets in outdoor environments. The system can take advantage of the redundant information coming from different sensors monitoring the same scene. The measurements (positions of the targets) obtained from the available sources are fused together to obtain a more accurate estimate. Data fusion is performed considering sensor reliability at every time instant. A confidence measure has been employed to weight sensor data in the fusion process. Compared to single camera systems, the adopted approach has produced more accurate and …

Making Svg A Web Service In A Message-Based Mvc Architecture, Xiaohong Qiu, Shrideep Pallickara, Ahmet Uyar

Electrical Engineering and Computer Science - All Scholarship

We reformulate Scalable Vector Graphics browser in a Web Service architecture separating the rendering from the W3C DOM processing of events. We describe this in a message-based Model-View-Controller (M-MVC) architecture and implement it with a powerful publish-subscribe messaging infrastructure. A Web Services oriented architecture with services loosely coupled by the exchange of messages is becoming an increasingly important feature in the deployment of Internet applications. The broad applicability of this approach includes enterprise software, e-Learning, e-Science and e-Business. Our work provides a general framework for integrating Desktop and Web Service applications. We summarize the performance results from detailed tests of …