Computer Sciences Commons^™

Wissensmanagement Profitiert Von Semantiktechnologien, Pascal Hitzler, Rudi Studer

Computer Science and Engineering Faculty Publications

In der Forschung um das Semantic Web werden Technologien entwickelt, die auf breites Interesse in vielen Anwendungsgebieten stoßen. So z.B. im Wissensmanagement und im Ubiquitous Computing.

Audio Similarity Measure By Graph Modeling And Matching, Yuxin Peng, Chong-Wah Ngo, Cuihua Fang, Xiaoou Chen, Jianguo Xiao

Research Collection School Of Computing and Information Systems

This paper proposes a new approach for the similarity measure and ranking of audio clips by graph modeling and matching. Instead of using frame-based or salient-based features to measure the acoustical similarity of audio clips, segment-based similarity is proposed. The novelty of our approach lies in two aspects: segment-based representation, and the similarity measure and ranking based on four kinds of similarity factors. In segmentbased representation, segments not only capture the change property of audio clip, but also keep and present the change relation and temporal order of audio features. In the similarity measure and ranking, four kinds of similarity …

Natural Document Clustering By Clique Percolation In Random Graphs, Wei Gao, Kam-Fai Wong

Research Collection School Of Computing and Information Systems

Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/or the probability distribution of clustered data. As a result, the clustering effects tend to be unnatural and stray away more or less from the intrinsic grouping nature among the documents in a corpus. We propose a novel graph-theoretic technique called Clique Percolation Clustering (CPC). It models clustering as a process of enumerating adjacent maximal cliques in a random graph that unveils inherent structure of the underlying data, in which we unleash the commonly practiced constraints in …

Embodying A Cognitive Model In A Mobile Robot, Paul P. Benjamin, Damian M. Lyons, Deryle W. Lonsdale

CSIS Technical Reports

ADAPT is designed as a cognitive architecture embodied in a mobile robot. It addresses concurrency and active perception by modeling the world as concurrent schemas represented in Robot Schemas and implementing RS within Soar. The paper discusses the design issues involved in integrating cognition, real-time sensorimotor behavior, learning, and natural language.

Fault Modeling In Wireless Sensor Networks, Ahmed A. Elmiligui

Electrical & Computer Engineering Theses & Dissertations

A large amount of research has been done in the area of wireless sensor networks (WSN), but not much work has been done in modeling the fault tolerance and reliability of these networks. In this thesis, the fault tolerance of a WSN to node failures is studied and an analytical reliability model of the network is derived. A valid reliability model of a network could reveal an estimate of the network's performance before it is deployed.

A wireless sensor network was modeled as a k-out-of-n system and a generic fault tolerant framework for the network in terms of node losses …

Fault Arrangements And Their Effect On The Performance Of Wireless Sensor Networks, Dwayne Sayone Blai

Electrical & Computer Engineering Theses & Dissertations

Wireless sensor networks face many reliability challenges. The networks are deployed in open, hostile environments, making them easily susceptible to network failure. As a result, there are countless faults that can occur in sensor networks, from component failure to outside attacks. Outside attacks take place when an adversary gains control over a node or set of nodes in the network. Outside attackers can destroy a network in numerous ways such as random attacks, clustering attacks, search-based attacks, etc. The method and strategy used in each of these attacks directly affects the network's reliability. Understanding how these adversaries are positioned is …

India’S Rise As A Software Power: Governmental Policy Factors, Tad Drozdowski, Hai Huynh, Brian Lininger, Yicheng Peng, Naruedom Sakulyong

Engineering and Technology Management Student Projects

The Indian government’s policies toward an open, global market, support of educational institutions, and enhancement of appropriate infrastructure helped enable their software industry to become critical components of India’s economic growth in the 1990s. The Technical, Organizational, and Personal perspective (T, O, and P) model is utilized to examine different affects that each perspective, inclusive of government policies, has on a socio-technical system (Software development in India). The Indian government has provided substantial economic liberalization to support their software industries, though continued reform is necessary to ensure that they remain a software superpower.

Mobicom Poster Abstract: Bandwidth Reservation Using Wlan Handoff Prediction, Libo Song, Udayan Deshpande, Ulaş C. Kozat, David Kotz, Ravi Jain

Dartmouth Scholarship

Many network services may be improved or enabled by successful predictions of users' future mobility. The success of predictions depend on how much accuracy can be achieved on real data and on the sensitivity of particular applications to this achievable accuracy. We investigate these issues for the case of advanced bandwidth reservation using real WLAN traces collected on the Dartmouth College campus.

Icing Location Client, Seamus Rooney, Keith Gardiner, James Carswell

Articles

The ICiNG (Innovative Cities for Next Generation) project is researching a multi-modal, multi-access model of e-Government. It develops the concept of a “thin-skinned City” that will be sensitive to both the citizen and the environment through the use of mobile devices, universal access gateways, social software and environmental sensors. Intelligent infrastructure will enable a Public Administration Services layer and a Communities layer. Communities will interact with the infrastructure to avail of ICiNG services created by the administration, and will also create their own information-based services.

Ceg 499/699: Mobile Computing, Yong Pei

Computer Science & Engineering Syllabi

Increasingly, people, computers and microelectronic devices are being linked together to bring to life the communications mantra: anybody, anything, anytime, anywhere. This junior/senior/graduate course provides an in-depth study of networking protocol and system design in the area of wireless networking and mobile computing. It will help engineering and computer science students establish a solid foundation in concepts, architecture, design, and performance evaluation of mobile computing principle, protocols and applications. It will also introduce students to a few hot topics in wireless networking and mobile computing research such as mobile IP, wireless TCP, 802.11, agent techniques, etc. The course material also …

Ceg 453/653: Design Of Computing Systems, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Cs 205: 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.

Cs 240: Introduction To Computer Science I, L. Jane Lin

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement.

Cs 405/605-01: Introduction To Database Management Systems, Guozhu Dong

Computer Science & Engineering Syllabi

Survey of logical and physical aspects of database management systems. Data models including entity-relationship (ER) and relational are presented. Physical implementation (data organization and indexing) methods are discussed. Query languages including SQL, relational algebra, relational calculus, and QBE are introduced. Students will also gain experience in creating and manipulating a database.

Cs 340: Programming Language Workshop In Java, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course is designed as a self-study in Java. You are expected to work independently to learn the Java language and solve a set of programming problems assigned to you using latest Java SDK available at http://java.sun.com or' other software as approved by the instructor. There are no exams. We officially meet only once in a quarter. However, I will be available in the posted office hours for clarifications and general discussion of the programming assignments. Do not expect support in debugging badly documented code.

Cs 141: Computer Programming I, Michael Ondrasek

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. Students must register for both lecture and one laboratory section.

Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course deals with the theory and practice of compiler design. Topics emphasized are scanning and parsing. If time permits, semantic analysis will also be covered.

Cs 208: Computer Programming For Business I, Dennis Kellermeier

Computer Science & Engineering Syllabi

No abstract provided.

Cs 206: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog

Computer Science & Engineering Syllabi

By the end of this course, the students will have a greater depth of understanding in the areas of
word processing, spreadsheets, databases, and presentation software and web design using
Microsoft Word, Microsoft FrontPage, Microsoft Excel, Access, and PowerPoint.

Cs 340: Programming Language Workshop In C#, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is designed as a self-study in C#. You are expected to learn the language and solve a set of programming problems assigned to you using MS Visual Studio .NET. There are no exams. We officially meet only once in the quarter. However, I will be available in the posted office hours for clarifications and discussions about the programming problems.

Cs 240: Introduction To Computer Science I, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

Cs 784: Programming Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course introduces concepts related to the specification and design of high-level programming languages. It discusses different programming paradigms, algebraic specification and implementation of data types, and develops interpreters for specifying operationally the various programming language features/constructs. It also introduces attribute grammar formalism and axiomatic semantics briefly. The programming assignments will be coded in Scheme.

Cs 790: Special Topics On Image Processing: Algorithms, Languages, And Architectures, Nikolaos Bourbakis

Computer Science & Engineering Syllabi

Introduction; Image Processing Operators and Morphology; Image Transformations; Image Processing Languages; Image Coding and Compression;
Image Encryption and Hiding; Digital TV and Video

Cs 214: Object-Based Programming, Eric Maston

Computer Science & Engineering Syllabi

This course is a basic introduction to object oriented programming utilizing the Visual Basic programming language.

Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer

Computer Science & Engineering Syllabi

Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics. 4 credit hours.

Cs 209: Computer Programming For Business Ii, Dennis Kellermeier

Computer Science & Engineering Syllabi

No abstract provided.

Cs 466/666: Introduction To Formal Languages, Thomas Sudkamp

Computer Science & Engineering Syllabi

CS 466/666 is an introduction to formal language and automata theory. In this course we will examine methods for defining syntax of languages and recognizing patterns: the syntax of languages can be defined using grammars and patterns can be recognized by the computations of finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between language definition and pattern recognition. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science.

Cs 400/600: Data Structures And Software Design, Natsuhiko Futamura

Computer Science & Engineering Syllabi

In this course, students will learn basic data structures and how to design and analyze and implement software. Course covers introduction to the fundamentals of complexity and analysis and study of common problems and solutions using various data structures. After taking this course, students are expected to be able to design reasonable software for problems and estimate (evaluate) the performance of them even without writing the software.

Cs 766: Evolutionary Computation, Mateen M. Rizki

Computer Science & Engineering Syllabi

This course explores evolutionary computation from a historical, theoretical, and application viewpoint. An overview of the most common evolutionary search techniques are presented including genetic algorithms, evolutionary programming, evolutionary strategies, and genetic programming. The fundamental issues driving the choice of problem representation and specific genetic operators are discussed. Various applications of evolutionary computation to problems in control, optimization, and pattern recognition are examined.

Cs 241: Introduction To Computer Science Ii, Praveen Kakumanu

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. It focuses on tools for building abstract data types (using structure and class concepts in C++) and Object-Oriented Programming. We also begin the study of data structures in this course.