Digital Commons Network^™

Mastaq: A Middleware Architecture For Sensor Applications With Statistical Quality Constraints, Inseok Hwang, Qi Han, Archan Misra

Research Collection School Of Computing and Information Systems

We present the design goals and functional components of MASTAQ, a data management middleware for pervasive applications that utilize sensor data. MASTAQ allows applications to specify their quality-of information (QoI) preferences (in terms of statistical metrics over the data) independent of the underlying network topology. It then achieves energy efficiency by adaptively activating and querying only the subset of sensor nodes needed to meet the target QoI bounds. We also present a closed-loop feedback mechanism based on broadcasting of activation probabilities, which allows MASTAQ to activate the appropriate number of sensors without requiring any inter-sensor coordination or knowledge of the …

Fingerprinting Relational Databases: Schemes And Specialities, Yingjiu Li, Vipin Swarup, Sushil Jajodia

Research Collection School Of Computing and Information Systems

In this paper, we present a technique for fingerprinting relational data by extending Agrawal et al.'s watermarking scheme. The primary new capability provided by our scheme is that, under reasonable assumptions, it can embed and detect arbitrary bit-string marks in relations. This capability, which is not provided by prior techniques, permits our scheme to be used as a fingerprinting scheme. We then present quantitative models of the robustness properties of our scheme. These models demonstrate that fingerprints embedded by our scheme are detectable and robust against a wide variety of attacks including collusion attacks.

Evaluation Of Mpeg-4 Ipmp Extension, Hwee Hwa Pang, Yongdong Wu

Research Collection School Of Computing and Information Systems

MPEG-4 IPMPX (intellectual property management and protection extension) is the latest ISO standard which provides a flexible framework for protecting MPEG streams. The message mechanism of IPMPX enables interoperability among IPMPX-compliant devices no matter which protection methods are embedded. This paper highlights several problems in the message syntax of IPMPX: the tool delivery message IPMP_ToolES_AU is vulnerable to network attack, the authentication message IMP_Mutual_Authentication is incapable of defending against forgery attack, and the configuration message IPMP_SelectiveDecrptionInit is ambiguous and redundant. We propose a number of remedies to those problems, which can be incorporated into a corrigenda to improve the present …

Guest Editor's Introduction: Cluster Computing, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

What is cluster computing? In a nutshell, it involves the use of a network of computing resources to provide a comparatively economical package with capabilities once reserved for supercomputers. In this issue, we look at certain applications of cluster computing to problem solving. As the Beowulf project and clustering revolution celebrate more than 10 years in existence, it's interesting to see what remains the same and what has changed. Let's look at a few aspects of the clustering revolution in more detail.

Special Event Computerized Tracking Of Officers Reporting, Noel R. Macmahon

Regis University Student Publications (comprehensive collection)

The New York City Police Department needs a way to rapidly and accurately account for and assign personnel during a pre-planned special event. There are currently many archaic systems utilized throughout the Department, yet none of these formats utilizes a computerized system. Because there is no single off-the-shelf product currently available to perform all of the narrow tasks involved in this problem, a solution needs to be developed. The solution to this problem is developing a system that will be a single standard for the entire Department. This solution will combine various hardware devices and off-the-shelf software products into a …

Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 21, Number 5, February 2005, College Of Engineering And Computer Science, Wright State University

BITs and PCs Newsletter

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

A Framework For Management Of Concurrent Xml Markup, Alex Dekhtyar, Ionut E. Iacob

Computer Science and Software Engineering

The problem of concurrent markup hierarchies in XML encodings of documents has attracted attention of a number of humanities researchers in recent years. The key problem with using concurrent hierarchies to encode documents is that markup in one hierarchy is not necessarily well-formed with respect to the markup in another hierarchy. Previously proposed solutions to this problem rely on the XML expertise of the editors and their ability to maintain correct DTDs for complex markup languages. In this paper, we approach the problem of maintenance of concurrent XML markup from the Computer Science perspective. We propose a framework that allows …

Development Of A Personal Diet Plan Database Application For Persons With Severe Food Allergies, Heather Suzanne Ward

Regis University Student Publications (comprehensive collection)

This project will research, analyze, design, and implement a computerized system that will assist patients in creating a personal diet plan based upon a "rotation diet." This diet, specifically designed for patients with severe food allergies, requires that a patient may only eat a particular food every n days (where n is any number), and foods from the same biological food family every n days. Currently, patients use either pen-and-paper or a computerized spreadsheet to create weekly or monthly food meal plans for the diet plan. The meal plans are usually transferred by hand to their daily or weekly shopping …

Specification Of A Common Framework For Characterizing Alignment, Paolo Bouquet, Marc Ehrig, Jerome Euzenat, Enrico Franconi, Pascal Hitzler, Markus Krotzsch, Luciano Serafini, Giorgos Stamu, York Sure, Sergio Tessaris

Computer Science and Engineering Faculty Publications

Definition of a common framework for characterizing alignment of heterogeneous information. This report describes various approaches towards this goal and shows the relations between them. It also provides a description of the alignment sructure and process.

Fast And Robust Incremental Action Prediction For Interactive Agents, Jonathan Dinerstein, Parris K. Egbert, Dan A. Ventura

Faculty Publications

The ability for a given agent to adapt on-line to better interact with another agent is a difficult and important problem. This problem becomes even more difficult when the agent to interact with is a human, since humans learn quickly and behave non-deterministically. In this paper we present a novel method whereby an agent can incrementally learn to predict the actions of another agent (even a human), and thereby can learn to better interact with that agent. We take a case-based approach, where the behavior of the other agent is learned in the form of state-action pairs. We generalize these …

Securing Application Command Layer Under Jini Services, Tarek Mahmoud Negm

Archived Theses and Dissertations

No abstract provided.

Video Summarization And Scene Detection By Graph Modeling, Chong-Wah Ngo, Yu-Fei Ma, Hong-Jiang Zhang

Research Collection School Of Computing and Information Systems

In this paper, we propose a unified approach for video summarization based on the analysis of video structures and video highlights. Two major components in our approach are scene modeling and highlight detection. Scene modeling is achieved by normalized cut algorithm and temporal graph analysis, while highlight detection is accomplished by motion attention modeling. In our proposed approach, a video is represented as a complete undirected graph and the normalized cut algorithm is carried out to globally and optimally partition the graph into video clusters. The resulting clusters form a directed temporal graph and a shortest path algorithm is proposed …

The Value Of Mobile Applications: A Utility Company Study, Fiona Fui-Hoon Nah, Keng Siau, Hong Sheng

Research Collection School Of Computing and Information Systems

The value proposition of mobile applications i.e. the net value of the benefits and costs associated with the adoption and adaptation of mobile applications is discussed. A means-ends network that depicts the fundamental relationships among the objectives such as efficiency, effectiveness, customer satisfaction, security, cost, and employee acceptance, was developed. The network is useful to researchers as it highlights the issues, concerns, and values of mobile applications. The network help the managers and practitioners to achieve their companies' objectives of implementing mobile and wireless applications.

Reinforcement Learning-Based Output Feedback Control Of Nonlinear Systems With Input Constraints, Pingan He, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

A novel neural network (NN) -based output feedback controller with magnitude constraints is designed to deliver a desired tracking performance for a class of multi-input-multi-output (MIMO) discrete-time strict feedback nonlinear systems. Reinforcement learning in discrete time is proposed for the output feedback controller, which uses three NN: 1) a NN observer to estimate the system states with the input-output data; 2) a critic NN to approximate certain strategic utility function; and 3) an action NN to minimize both the strategic utility function and the unknown dynamics estimation errors. The magnitude constraints are manifested as saturation nonlinearities in the output feedback …

Adaptive Stream Filters For Entity-Based Queries With Non-Value Tolerance Technical Report, Reynold Cheng, Ben Kao, Sunil Prabhakar, Alan Kwan, Yicheng Tu

Department of Computer Science Technical Reports

No abstract provided.

Shemp: Secure Hardware Enhanced Myproxy, John Marchesini, Sean Smith

Computer Science Technical Reports

While PKI applications differ in how they use keys, all applications share one assumption: users have keypairs. In previous work, we established that desktop keystores are not safe places to store private keys, because the TCB is too large. These keystores are also immobile, difficult to use, and make it impossible for relying parties to make reasonable trust judgments. Since we would like to use desktops as PKI clients and cannot realistically expect to redesign the entire desktop, this paper presents a system that works within the confines of modern desktops to shrink the TCB needed for PKI applications. Our …

A New Blind Method For Detecting Novel Steganography, Brent T. Mcbride, Gilbert L. Peterson, Steven C. Gustafson

Faculty Publications

Steganography is the art of hiding a message in plain sight. Modern steganographic tools that conceal data in innocuous-looking digital image files are widely available. The use of such tools by terrorists, hostile states, criminal organizations, etc., to camouflage the planning and coordination of their illicit activities poses a serious challenge. Most steganography detection tools rely on signatures that describe particular steganography programs. Signature-based classifiers offer strong detection capabilities against known threats, but they suffer from an inability to detect previously unseen forms of steganography. Novel steganography detection requires an anomaly-based classifier. This paper describes and demonstrates a blind classification …

Negotiation Of Software Requirements In An Asynchronous Collaborative Environment, Catherine Lowry Campbell

Dissertations

The effect of task structure and negotiation sequence on collaborative software requirements negotiation is investigated. This work began with an extensive literature review that focused on current research in collaborative software engineering and, in particular, on the negotiation of software requirements and the requisite collaboration for the development of such requirements. A formal detailed experiment was then conducted to evaluate the effects of negotiation sequence and task structure in an asynchronous group meeting environment. The experiment tested the impact of these structures on groups negotiating the requirements for an emergency response information system. The results reported here show that these …

Characterizing The Evolution Of Operating Systems, Yi Peng

Dissertations

Examining the development and trends in software engineering technology is a huge undertaking. It is constantly evolving and affected by a large number of factors, which are themselves driven by a wide range of sub-factors. This dissertation is part of a long term project intended to analyze software engineering technology trends and how they evolve. This project is intended to analyze operating system trends and what are the factors that drive how they evolve. Basically, the following questions will be answered: "How to watch, predict, adapt to, and affect operating system's evolution trends?"

In previous research, YF Chen used statistical …

Live, Virtual, And Constructive Environments For Performance Support, John Michael Lacontora

Dissertations

As military systems become more complex, the operation and support of these systems becomes intrinsically more difficult. The U.S. Army's current procurement process relies on industry to provide embedded training and performance support tools for the systems they produce. These tools are relatively new and in the early stages of development. As yet, they have failed to meet the needs of the technicians that are required to support these complex systems. Current efforts to provide enabling technologies that enhance the capabilities of automotive maintenance technicians are concentrated in three professional communities. First is the Performance Improvement community where work is …

Pattern Discovery In Structural Databases With Applications To Bioinformatics, Sen Zhang

Dissertations

Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data such as trees and graphs. FSM finds many applications in bioinformatics, XML processing, Web log analysis, and so on. In this thesis, two new FSM techniques are proposed for finding patterns in unordered labeled trees. Such trees can be used to model evolutionary histories of different species, among others.

The first FSM technique finds cousin pairs in the trees. A cousin pair is a pair of nodes sharing the same parent, the same grandparent, or the same great-grandparent, etc. Given a tree T, our …

Performance Evaluation Of Various Allocation Methods In A Heterogeneous Disk Array Architecture, Bogdan Alexandru Branzoi

Theses

Dataset attributes, such as data availability levels and access patterns, make their mapping to certain RAID levels more desirable than others. On the other hand, it is not economically viable for an installation to acquire multiple disk arrays to satisfy diverse data storage requirements. A Heterogeneous Disk Array (HDA) architecture is proposed, which allows device heterogeneity as well as RAID level heterogeneity. In other words, various disks of different types can be incorporated in a single HDA and multiple RAID schemes can coexist in the same array. The goal of this architecture is to utilize the resources of all its …

Data Feed Management Automation : An Empirical Approach, Dibyendu Majumder

Theses

This thesis proposes a framework for automation of data feed management and control. The framework can be classified into two broad areas i) building an ontology for a feed system and ii) developing a test suite, that is, a set of statistical models to analyze and diagnose feeds and formalize the results to feedback into the ontology. This thesis concentrates more on the latter and will only outline the course of action required for the former. Detailed descriptions of the statistical models that are part of the test suite are given and their strengths and weaknesses discussed. Practical results of …

2d Quantitative Structure Activity Relationship Modeling Of Methylphenidate Analogues Using Algorithm And Partial Least Square Regression, Noureen Wadhwaniya

Theses

Quantitative Structure-Activity Relationship (QSAR) analysis attempts to develop a predictive model of biological activity based on molecular descriptors. 2D QSAR uses descriptors, such as topological indices, that are independent of molecular conformation. A genetic algorithm - partial least squares (GA-PLS) approach was used to identify the molecular descriptors that correlate to the biological activity (binding affinity) of a set of 80 methylphenidate analogues and to construct a predictive model. The GA code was implemented using the fitness function (1-(n-1)(1-q²)/ (n - c)), where n is the number of compounds, c is the optimal number of components, and q …

Next Generation Satellite Orbital Control System, Thomas Gerard Nowak

Theses

Selection of the correct software architecture is vital for building successful software-intensive systems. Its realization requires important decisions about the organization of the system and by and large permits or prevents a system's acceptance and quality attributes such as performance and reliability. The correct architecture is essential for program success while the wrong one is a formula for disaster.

In this investigation, potential software architectures for the Next Generation Satellite Orbital Control System (NG-SOCS) are developed from compiled system specifications and a review of existing technologies. From the developed architectures, the recommended architecture is selected based on real-world considerations that …

Digital Libraries And Middleware Technology, Muhammad Umar Qasim

Theses

Digital libraries deliver personalized knowledge directly to their users, without being restricted to the contents of a physical library. In a digital library information from any online source can be managed and shared, making more knowledge available to users than before. The information sharing is achieved by integrating many autonomous heterogeneous systems available. The challenge is to provide users with the ability to transparently access digital library contents in spite of the heterogeneity among the information sources.

Research communities have proposed several approaches to accomplish the system integration in digital libraries. In this thesis, the working of currently employed approaches …

Analysis Of Relationship Between Software Metrics And Process Models, Sadia Munir

Theses

This thesis studies the correlation between software process models and software metrics. To support our studies we have defined a Process - Metric Evaluation Framework and derived an evaluation template from it. The template served as a basic tool in studding the relationships between various process models, artifacts and software metrics.

We have evaluated a number of process models according to our template and have identified suitable software metrics. We have also recommended a root cause analysis approach at various points of the process models.

The suggested software metrics can be derived from various product and process artifacts. They can …

Smartacking: Improving Tcp Performance From The Receiving End, Daniel K. Blandford, Sally A. Goldman, Sergey Gorinsky, Yan Zhou, Daniel R. Dooly

All Computer Science and Engineering Research

We present smartacking, a technique that improves performance of Transmission Control Protocol (TCP) via adaptive generation of acknowledgments (ACKs) at the receiver. When the bottleneck link is underutilized, the receiver transmits an ACK for each delivered data segment and thereby allows the connection to acquire the available capacity promptly. When the bottleneck link is at its capacity, the smartacking receiver sends ACKs with a lower frequency reducing the control traffic overhead and slowing down the congestion window growth to utilize the network capacity more effectively. To promote quick deployment of the technique, our primary implementation of smartacking modifies only the …

A Framework For Extraction Plans And Heuristics In An Ontology-Based Data-Extraction System, Alan E. Wessman

Theses and Dissertations

Extraction of information from semi-structured or unstructured documents, such as Web pages, is a useful yet complex task. Research has demonstrated that ontologies may be used to achieve a high degree of accuracy in data extraction while maintaining resiliency in the face of document changes. Ontologies do not, however, diminish the complexity of a data-extraction system. As research in the field progresses, the need for a modular data-extraction system that de-couples the various functional processes involved continues to grow.

In this thesis we propose a framework for such a system. The nature of the framework allows new algorithms and ideas …

Java Performance Of The Rijndael Encryption Algorithm Across Compilers And Virtual Machines, Gregory Leavitt Orgill

Theses and Dissertations

The Rijndael encryption algorithm has recently been published as the Advanced Encryption Standard (AES), a Federal Information Processing Standard, and is being accepted by developers and designers as the algorithm of choice where encryption is required. Java is becoming the language of choice for E-Business applications, many of which require cryptography. The performance of any Java application is dependent on the compiler and virtual machine used to compile and interpret. Prior research has provided performance information for the Rijndael algorithm in Java for specific virtual machines. This research includes the development of a Rijndael implementation in Java. Using Java system …