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Computer Sciences Commons™

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2007

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Articles 421 - 450 of 1355

Full-Text Articles in Computer Sciences

Semantics To Energize The Full Services Spectrum: Ontological Approach To Better Exploit Services At Technical And Business Levels, Amit P. Sheth Jul 2007

Semantics To Energize The Full Services Spectrum: Ontological Approach To Better Exploit Services At Technical And Business Levels, Amit P. Sheth

Kno.e.sis Publications

Services are pervasive in today’s economic landscape, and services- based architectures are being rapidly adopted as IT infrastructure. The need to take a broader perspective of services to include people and organizational descriptions as opposed to technical interface descriptions has already been recognized as part of an overall vision of services science [46, 100]. This article describes the Semantic Services Science (3S) model, which seeks to demonstrate the essential benefits of semantics in view of the broader vision of services science by using service descriptions that capture technical, human, organizational, and business value aspects. We assert that ontology-based semantic modeling …

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A Finite Difference Method For Studying Thermal Deformation In A Three-Dimensional Microsphere Exposed To Ultrashort-Pulsed Lasers, Xudong Du Jul 2007

A Finite Difference Method For Studying Thermal Deformation In A Three-Dimensional Microsphere Exposed To Ultrashort-Pulsed Lasers, Xudong Du

Doctoral Dissertations

Ultrashort-pulsed lasers with pulse durations on the order of sub-picoseconds to femtoseconds possess the capabilities in limiting the undesirable spread of the thermal process zone in a heated sample which have been attracting worldwide interest in science and engineering. Success of ultrashort-pulsed lasers in real application relies on: (1) well characterized pulse width, intensity and experimental techniques; (2) reliable microscale heat transfer models; and (3) prevention of thermal damage. Laser damage by ultrashort-pulsed lasers occurs after the heating pulse is over since the pulse duration time is extremely short and the heat flux is essentially limited to the region within …

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A Framework For Dynamizing Succinct Data Structures, Ankur Gupta, Wing K. Hon, Rahul Shah, Jeffery S. Vitter Jul 2007

A Framework For Dynamizing Succinct Data Structures, Ankur Gupta, Wing K. Hon, Rahul Shah, Jeffery S. Vitter

Scholarship and Professional Work - LAS

We present a framework to dynamize succinct data structures, to encourage their use over non-succinct versions in a wide variety of important application areas. Our framework can dynamize most stateof-the-art succinct data structures for dictionaries, ordinal trees, labeled trees, and text collections.

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Modeling And Simulation Of Cardiovascular Systems, Thomas Wischgoll Jul 2007

Modeling And Simulation Of Cardiovascular Systems, Thomas Wischgoll

Computer Science and Engineering Faculty Publications

No abstract provided.

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Game Theoretical Data Replication Techniques For Large-Scale Autonomous Distributed Computing Systems, Samee Ullah Khan Jul 2007

Game Theoretical Data Replication Techniques For Large-Scale Autonomous Distributed Computing Systems, Samee Ullah Khan

Computer Science and Engineering Dissertations - Archive

Data replication in geographically dispersed servers is an essential technique for reducing the user perceived access time in large-scale distributed computing systems. A majority of the conventional replica placement techniques lack scalability and solution quality. To counteract such issues, this thesis proposes a game theoretical replica placement framework, in which autonomous agents compete for the allocation or reallocation of replicas onto their representative servers in a self-managed fashion. Naturally, each agent's goal is to maximize its own benefit. However, the framework is designed to suppress individualism and to ensure system-wide optimization. Using this framework as an environment, several cooperative and …

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On Searching Continuous Nearest Neighbors In Wireless Data Broadcast Systems, Baihua Zheng, Wang-Chien Lee, Dik Lun Lee Jul 2007

On Searching Continuous Nearest Neighbors In Wireless Data Broadcast Systems, Baihua Zheng, Wang-Chien Lee, Dik Lun Lee

Research Collection School Of Computing and Information Systems

A continuous nearest neighbor (CNN) search, which retrieves the nearest neighbors corresponding to every point in a given query line segment, is important for location-based services such as vehicular navigation and tourist guides. It is infeasible to answer a CNN search by issuing a traditional nearest neighbor query at every point of the line segment due to the large number of queries generated and the overhead on bandwidth. Algorithms have been proposed recently to support CNN search in the traditional client-server systems but not in the environment of wireless data broadcast, where uplink communication channels from mobile devices to the …

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Online Reinforcement Learning-Based Neural Network Controller Design For Affine Nonlinear Discrete-Time Systems, Qinmin Yang, Jagannathan Sarangapani Jul 2007

Online Reinforcement Learning-Based Neural Network Controller Design For Affine Nonlinear Discrete-Time Systems, Qinmin Yang, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel reinforcement learning neural network (NN)-based controller, referred to adaptive critic controller, is proposed for general multi-input and multi- output affine unknown nonlinear discrete-time systems in the presence of bounded disturbances. Adaptive critic designs consist of two entities, an action network that produces optimal solution and a critic that evaluates the performance of the action network. The critic is termed adaptive as it adapts itself to output the optimal cost-to-go function and the action network is adapted simultaneously based on the information from the critic. In our online learning method, one NN is designated as the …

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Light-Based Sample Reduction Methods For Interactive Relighting Of Scenes With Minute Geometric Scale, William B. Kerr, Fabio Pellacini Jul 2007

Light-Based Sample Reduction Methods For Interactive Relighting Of Scenes With Minute Geometric Scale, William B. Kerr, Fabio Pellacini

Computer Science Technical Reports

Rendering production-quality cinematic scenes requires high computational and temporal costs. From an artist's perspective, one must wait for several hours for feedback on even minute changes of light positions and parameters. Previous work approximates scenes so that adjustments on lights may be carried out with interactive feedback, so long as geometry and materials remain constant. We build on these methods by proposing means by which objects with high geometric complexity at the subpixel level, such as hair and foliage, can be approximated for real-time cinematic relighting. Our methods make no assumptions about the geometry or shaders in a scene, and …

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A Model For Managing Decision-Making Information In The Gig-Enabled Battlespace, Samuel D. Bass, Rusty O. Baldwin Jul 2007

A Model For Managing Decision-Making Information In The Gig-Enabled Battlespace, Samuel D. Bass, Rusty O. Baldwin

Computer Science Faculty Publications

The Defense Department is transforming information-technology systems into a Global Information Grid (GIG) that will connect sensors to weapons systems and provide unprecedented situational awareness. The authors suggest that if not properly implemented, the GIG may overwhelm war fighters with information presented at the wrong time, at the wrong level of detail, and without proper analysis. This article proposes a model to direct the flow of information in the GIG.

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Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor Jul 2007

Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course provides a general introduction to computers as a problem-solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers. Topics include data representation, debugging, and program verification. Some programming assignments may involve complex arithmetic and trigonometric and exponential functions. 4 credit hours.

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Quo Vadis, Cs? – On The (Non)-Impact Of Conceptual Structures On The Semantic Web, Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler Jul 2007

Quo Vadis, Cs? – On The (Non)-Impact Of Conceptual Structures On The Semantic Web, Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Conceptual Structures is a field of research which shares abstract concepts and interests with recent work on knowledge representation for the Semantic Web. However, while the latter is an area of research and development which is rapidly expanding in recent years, the former fails to participate in these developments on a large scale. In this paper, we attempt to stimulate the Conceptual Structures community to catch the Semantic Web train.

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A Semantic Framework For Identifying Events In A Service Oriented Architecture, Karthik Gomadam, Ajith Harshana Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma Jul 2007

A Semantic Framework For Identifying Events In A Service Oriented Architecture, Karthik Gomadam, Ajith Harshana Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma

Kno.e.sis Publications

We propose a semantic framework for automatically identifying events as a step towards developing an adaptive middleware for Service Oriented Architecture (SOA). Current related research focuses on adapting to events that violate certain non-functional objectives of the service requestor. Given the large of number of events that can happen during the execution of a service, identifying events that can impact the non-functional objectives of a service request is a key challenge. To address this problem we propose an approach that allows service requestors to create semantically rich service requirement descriptions, called semantic templates. We propose a formal model for expressing …

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Reinforcement Learning Based Output-Feedback Control Of Nonlinear Nonstrict Feedback Discrete-Time Systems With Application To Engines, Peter Shih, Jonathan B. Vance, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier Jul 2007

Reinforcement Learning Based Output-Feedback Control Of Nonlinear Nonstrict Feedback Discrete-Time Systems With Application To Engines, Peter Shih, Jonathan B. Vance, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier

Electrical and Computer Engineering Faculty Research & Creative Works

A novel reinforcement-learning based output-adaptive neural network (NN) controller, also referred as the adaptive-critic NN controller, is developed to track a desired trajectory for a class of complex nonlinear discrete-time systems in the presence of bounded and unknown disturbances. The controller includes an observer for estimating states and the outputs, critic, and two action NNs for generating virtual, and actual control inputs. The critic approximates certain strategic utility function and the action NNs are used to minimize both the strategic utility function and their outputs. All NN weights adapt online towards minimization of a performance index, utilizing gradient-descent based rule. …

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Cs 141: Computer Programming I, Eric Maston Jul 2007

Cs 141: Computer Programming I, Eric Maston

Computer Science & Engineering Syllabi

This course provides a general introduction to the fundamentals of computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. The concepts covered will be applied to the Java programming language.

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Cs 241: Introduction To Computer Science Ii, Haiyun Bian Jul 2007

Cs 241: Introduction To Computer Science Ii, Haiyun Bian

Computer Science & Engineering Syllabi

This course is the second in the three course sequence "Introduction to Computer Science" offered by the Computer Science department, WSU. Concepts introduced in CS 240 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, basic sorting algorithms, recursion, graphics, development of user interfaces and exception handling. Student must register for one lecture section and one lab section.

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Cs 765: Foundations Of Neurocomputation, Mateen M. Rizki Jul 2007

Cs 765: Foundations Of Neurocomputation, Mateen M. Rizki

Computer Science & Engineering Syllabi

This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.

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Cs 415: Social Implications Of Computing, Leo Finkelstein Jul 2007

Cs 415: Social Implications Of Computing, Leo Finkelstein

Computer Science & Engineering Syllabi

CS 415 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.

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Cs 240: Computer Science I, Travis E. Doom Jul 2007

Cs 240: Computer Science I, Travis E. Doom

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.

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Cs 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog Jul 2007

Cs 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

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Cs 205-01, 02: Introduction To Computers And Office Productivity Software, Terri Bauer Jul 2007

Cs 205-01, 02: Introduction To Computers And Office Productivity Software, Terri Bauer

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required.
Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

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Cs 205-01: Introduction To Computers And Office Productivity Software, Kim Gros Jul 2007

Cs 205-01: Introduction To Computers And Office Productivity Software, Kim Gros

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

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Ceg 720-01: Computer Architecture, Jack Jean Jul 2007

Ceg 720-01: Computer Architecture, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

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Ceg 404/604-01: Wireless Sensor Networks, Bin Wang Jul 2007

Ceg 404/604-01: Wireless Sensor Networks, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

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Ceg 460/660-01: Introduction To Software Computer Engineering, Eric Maston Jul 2007

Ceg 460/660-01: Introduction To Software Computer Engineering, Eric Maston

Computer Science & Engineering Syllabi

This course is concerned with the techniques of designing and constructing large programs. Some of the required basic concepts necessarily have to be developed using small programs as examples. To this extent, we also study programming-in-the-small. The overall objectives are to present an overview of issues in the development of software, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software. Hands-on experience is emphasized through the use of homework and a class project.

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Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan Jul 2007

Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will introduce fundamental concepts and paradigms underlying the design of modern programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g., scheme). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments wi11 be coded in Java 5 and in Scheme.

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Developing On-Line Collaborative Research Across International Boundaries: Exploring The Potential Of New Technologies, Pat Jefferies, Frances Grodzinsky Jul 2007

Developing On-Line Collaborative Research Across International Boundaries: Exploring The Potential Of New Technologies, Pat Jefferies, Frances Grodzinsky

School of Computer Science & Engineering Faculty Publications

The development of on-line research practice across international boundaries is now a viable proposition using available asynchronous technologies such as computer conferencing. As has been reported in previous papers (Grodzinsky, et al, 2002; Griffin, et al, 2002) such use has proved to be extremely valuable for supporting the teaching of computing and ethics. However, asynchronous computer conferencing not only offers new opportunities for teaching and for supporting students, it also offers a valuable resource to researchers. Taking advantage of such opportunity must, of course, address a number of issues. Prime amongst these are concerns as to how to overcome the …

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Association-Based Image Retrieval, Arun D. Kulkarni, H. Gunturu, S. Dalta Jul 2007

Association-Based Image Retrieval, Arun D. Kulkarni, H. Gunturu, S. Dalta

Computer Science Faculty Publications and Presentations

With advances in the computer technology and the World Wide Web there has been an explosion in the amount and complexity of multimedia data that are generated, stored, transmitted, analyzed, and accessed. In order to extract useful information from this huge amount of data, many content-based image retrieval (CBIR) systems have been developed in the last decade. A typical CBIR system captures image features that represent image properties such as color, texture, or shape of objects in the query image and try to retrieve images from the database with similar features. Recent advances in CBIR systems include relevance feedback based …

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Distributed Knowledge Discovery In Large Scale Peer-To-Peer Networks, Sachin Shetty Jul 2007

Distributed Knowledge Discovery In Large Scale Peer-To-Peer Networks, Sachin Shetty

Computational Modeling & Simulation Engineering Theses & Dissertations

Explosive growth in the availability of various kinds of data in distributed locations has resulted in unprecedented opportunity to develop distributed knowledge discovery (DKD) techniques. DKD embraces the growing trend of merging computation with communication by performing distributed data analysis and modeling with minimal communication of data. Most of the current state-of-the-art DKD systems suffer from the lack of scalability, robustness and adaptability due to their dependence on a centralized model for building the knowledge discovery model. Peer-to-Peer networks offer a better scalable and fault-tolerant computing platform for building distributed knowledge discovery models than client-server based platforms. Algorithms and communication …

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An Empirical Study On Large-Scale Content-Based Image Retrieval, Yuk Man Wong, Steven C. H. Hoi, Michael R. Lyu Jul 2007

An Empirical Study On Large-Scale Content-Based Image Retrieval, Yuk Man Wong, Steven C. H. Hoi, Michael R. Lyu

Research Collection School Of Computing and Information Systems

One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR systems. In this paper, we propose a scalable content-based image retrieval scheme using locality-sensitive hashing (LSH), and conduct extensive evaluations on a large image testbed of a half million images. To the best of our knowledge, there is less comprehensive study on large-scale CBIR evaluation with a half million images. Our empirical results show that our proposed solution is able to scale for hundreds of thousands of images, which is promising for building Web-scale …

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Hierarchical Collective Agent Network (Hcan) For Efficient 3 Fusion And Management Of Multiple Networked Sensors, Qiuming Zhu, Stuart L. Aldridge, Tomas N. Resha Jul 2007

Hierarchical Collective Agent Network (Hcan) For Efficient 3 Fusion And Management Of Multiple Networked Sensors, Qiuming Zhu, Stuart L. Aldridge, Tomas N. Resha

Computer Science Faculty Publications

Agent-based software systems and applications are constructed by integrating diverse sets of components that are intelligent, heterogeneous, distributed, and concurrent. This paper describes a multi-agent system to assure the operation efficiency and reliability in data fusion and management of a set of networked distributive sensors (NDS). We discuss the general concept and architecture of a Hierarchical Collective Agent Network (HCAN) and its functional components for learning and adaptive control of the NDS. Sophistication of a HCAN control environment and an anatomy of the agent modules for enabling intelligent data fusion and management are presented. An exemplar HCAN is configured to …

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