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Articles 1561 - 1590 of 3840

Full-Text Articles in Physical Sciences and Mathematics

The Positive Solutions Of The Matukuma Equation And The Problem Of Finite Radius And Finite Mass, Jurgen Batt, Yi Li Nov 2010

The Positive Solutions Of The Matukuma Equation And The Problem Of Finite Radius And Finite Mass, Jurgen Batt, Yi Li

Mathematics and Statistics Faculty Publications

This work is an extensive study of the 3 different types of positive solutions of the Matukuma equation 1r2(r2ϕ′)′=−rλ−2(1+r2)λ/2ϕp,p>1,λ>0 : the E-solutions (regular at r = 0), the M-solutions (singular at r = 0) and the F-solutions (whose existence begins away from r = 0). An essential tool is a transformation of the equation into a 2-dimensional asymptotically autonomous system, whose limit sets (by a theorem of H. R. Thieme) are the limit sets of Emden–Fowler systems, and serve as a characterization of the different solutions. The emphasis lies on the study of the M …

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Defects At Oxygen Plasma Cleaned Zno Polar Surfaces, Y. F. Dong, Z-Q. Fang, David C. Look, Daniel R. Doutt, G. Cantwell, J. Zhang, J. J. Song, L. J. Brillson Nov 2010

Defects At Oxygen Plasma Cleaned Zno Polar Surfaces, Y. F. Dong, Z-Q. Fang, David C. Look, Daniel R. Doutt, G. Cantwell, J. Zhang, J. J. Song, L. J. Brillson

Physics Faculty Publications

Depth-resolved cathodoluminescence spectroscopy (DRCLS) reveals the evolution of surface and near surface defects at polar surfaces with remote oxygen plasma (ROP) treatment. Furthermore, this evolution exhibits significant differences that depend on surface polarity. ROP decreased the predominant 2.5 eV defect emission related to oxygen vacancies on the O face, while creating a new 2.1 eV defect emission on the Zn face that increases with ROP time. The surface-located 2.1 eV emission correlates with carrier profiles from capacitance-voltage measurements and a shift of the E3 trap to higher binding energy from deep level transient spectroscopy (DLTS). This result suggests that ROP …

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A Clustering Comparison Measure Using Density Profiles And Its Application To The Discovery Of Alternate Clusterings, Eric Bae, James Bailey, Guozhu Dong Nov 2010

A Clustering Comparison Measure Using Density Profiles And Its Application To The Discovery Of Alternate Clusterings, Eric Bae, James Bailey, Guozhu Dong

Kno.e.sis Publications

Data clustering is a fundamental and very popular method of data analysis. Its subjective nature, however, means that different clustering algorithms or different parameter settings can produce widely varying and sometimes conflicting results. This has led to the use of clustering comparison measures to quantify the degree of similarity between alternative clusterings. Existing measures, though, can be limited in their ability to assess similarity and sometimes generate unintuitive results. They also cannot be applied to compare clusterings which contain different data points, an activity which is important for scenarios such as data stream analysis. In this paper, we introduce a …

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Ontology Alignment For Linked Open Data, Prateek Jain, Pascal Hitzler, Amit P. Sheth, Kunal Verma, Peter Z. Yeh Nov 2010

Ontology Alignment For Linked Open Data, Prateek Jain, Pascal Hitzler, Amit P. Sheth, Kunal Verma, Peter Z. Yeh

Kno.e.sis Publications

The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision. However, the development of applications based on LOD faces difficulties due to the fact that the different LOD datasets are rather loosely connected pieces of information. In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored. In this paper, we therefore present a system for finding schema-level links between LOD datasets in the sense of ontology alignment. Our system, called BLOOMS, is based on the …

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Three-Dimensional Stereoscopic Exploration System For The Heart, Thomas Wischgoll Oct 2010

Three-Dimensional Stereoscopic Exploration System For The Heart, Thomas Wischgoll

Computer Science and Engineering Faculty Publications

No abstract provided.

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Student Fact Book, Fall 2010, Thirty-Fourth Annual Edition, Wright State University, Office Of Student Information Systems, Wright State University Oct 2010

Student Fact Book, Fall 2010, Thirty-Fourth Annual Edition, Wright State University, Office Of Student Information Systems, Wright State University

Wright State University Student Fact Books

The student fact book has general demographic information on all students enrolled at Wright State University for Fall Quarter, 2010.

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Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Ronald F. Taylor Oct 2010

Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Ronald F. Taylor

Computer Science & Engineering Syllabi

Introduction to numerical methods used in the sciences and engineering. Included will be methods for interpolation, data smoothing, integration, differentiation, and solution of systems of linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to science, engineering and applied mathematics are an integral part of the course. Special topics presented as schedule permits. Four hours lecture.

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Cs 141: Computer Programming I, Vanessa Starkey Oct 2010

Cs 141: Computer Programming I, Vanessa Starkey

Computer Science & Engineering Syllabi

Introduction to use of computers as a problem-solving tool. Examples from and applications to a broad range of problems. Methodology for algorithm design and for structured modular implementation is stressed. Three hours lecture, two hours lab.

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Cs 240: Computer Programming - I, Dale E. Nelson Oct 2010

Cs 240: Computer Programming - I, Dale E. Nelson

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on problem solving and object oriented programming. This course provides a general introduction to the fundamentals of computer science and 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. 4 credit hours.

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Cs 205: Introduction To Computers And Office Productivity Software, John P. Herzog Oct 2010

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

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including intermediate word processing, 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 241: Computer Programming, Travis E. Doom Oct 2010

Cs 241: Computer Programming, Travis E. Doom

Computer Science & Engineering Syllabi

A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.

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Cs 209: Computer Programming For Business Ii, David M. Hutchison Oct 2010

Cs 209: Computer Programming For Business Ii, David M. Hutchison

Computer Science & Engineering Syllabi

CS 209 is the second in a sequence of two programming classes required for MIS majors. This course will continue teaching students to the basic concepts of programming. Examples are from business applications and emphasis is on problem solving with the computer as a tool.

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Cs 242: Computer Programming Iii, Mateen M. Rizki Oct 2010

Cs 242: Computer Programming Iii, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 400/600: Data Structures And Software Design, Meilin Liu Oct 2010

Cs 400/600: Data Structures And Software Design, Meilin Liu

Computer Science & Engineering Syllabi

This is a fundamental course for students majoring in Computer Science. Students will learn: basic algorithm analysis techniques; asymptotic complexity; big-0 and big-Omega notations; efficient algorithms for discrete structures including lists, trees, stacks, and graphs; fundamental computing algorithms including sorting, searching, and hashing techniques.

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Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan Oct 2010

Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is designed as a self-study in Python. You are expected to learn the language and solve a set of programming problems assigned to you from Budd's text using Python available from http://www.python.org. 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.

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Cs 410/610: Theoretical Foundations Of Computing, Pascal Hitzler Oct 2010

Cs 410/610: Theoretical Foundations Of Computing, Pascal Hitzler

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 405/605: Introduction To Database Management Systems, Soon M. Chung Oct 2010

Cs 405/605: Introduction To Database Management Systems, Soon M. Chung

Computer Science & Engineering Syllabi

Survey of logical and physical aspects of database management systems. Entity Relationship, relational, object-oriented models for databases are presented. Physical implementation methods are discussed.

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Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan Oct 2010

Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will introduce fundamental concepts and paradigms underlying the design of modem 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 will be coded in Java and in Scheme.

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Cs 499/699: Cloud Computing, Keke Chen Oct 2010

Cs 499/699: Cloud Computing, Keke Chen

Computer Science & Engineering Syllabi

This is an introductory course to cloud computing. In this course, we will explore a few aspects of cloud computing virtualization, security & privacy, Amazon Web Services, and interactive web-based applications. Students are expected in the class discussion is strongly encouraged. Guest speakers might be invited for some particular topics. (3 Hours)

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Cs 705: Introduction To Data Mining, Guozhu Dong Oct 2010

Cs 705: Introduction To Data Mining, Guozhu Dong

Computer Science & Engineering Syllabi

Data mining is concerned with the extraction of novel and useful knowledge from large amounts of data. This course introduces and studies the fundamental concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, mining of spatial/text/sequence/graph/time-series etc data, privacy, data mining applications, and other topics of interest. 3 hours lecture, 2 hours lab.

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Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan Oct 2010

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.

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Cs 784: Programming Languages, Prabhaker Mateti Oct 2010

Cs 784: Programming Languages, Prabhaker Mateti

Computer Science & Engineering Syllabi

Programming paradigms and concepts for high level programming languages. Techniques for formal specification. 4.000 Credit hours. Prerequisites: CS 480/680.

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The Statistical Properties Of The Survivor Interaction Contrast, Joseph W. Houpt, James T. Townsend Oct 2010

The Statistical Properties Of The Survivor Interaction Contrast, Joseph W. Houpt, James T. Townsend

Joseph W. Houpt

The Survivor Interaction Contrast (SIC) is a powerful tool for assessing the architecture and stopping rule of a model of mental processes. Despite its demonstrated utility, the methodology has lacked a method for statistical testing until now. In this paper we briefly describe the SIC then develop some basic statistical properties of the measure. These developments lead to a statistical test for rejecting certain classes of models based on the SIC. We verify these tests using simulated data, then demonstrate their use on data from a simple cognitive task.

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Cs 206: Computer Software Productivity Tools, John P. Herzog Oct 2010

Cs 206: Computer Software Productivity Tools, John P. Herzog

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including advanced topics in 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 advanced 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 220-01: Introduction To C Programming For Engineers, Jay Dejongh Oct 2010

Ceg 220-01: Introduction To C Programming For Engineers, Jay Dejongh

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. 4 credit hours. Prerequisite: MTH 229 (Calculus I) or EGR 101 (Engineering Mathematics). The course includes a scheduled laboratory section for which you must register.

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Ceg 210-01: Pc Networking I, Chris P. Fickert Oct 2010

Ceg 210-01: Pc Networking I, Chris P. Fickert

Computer Science & Engineering Syllabi

Introduction to networking technologies including infrastructure and architectures, standards, protocols and directory services, administration, security and management. Integrated lecture and lab.

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Ceg 221-01: Introduction To C Programming For Engineers, Jay Dejongh Oct 2010

Ceg 221-01: Introduction To C Programming For Engineers, Jay Dejongh

Computer Science & Engineering Syllabi

This course introduces advanced constructs, algorithms, and data structures in the C programming language. Emphasis is on problem solving and techniques useful to engineers. Topics include functions, arrays, pointers, and structures as well as sorting algorithms, linked lists, binary files, complex numbers, and numerical methods applications. 4 credit hours. Prerequisite: CEG220 (Introduction to C Programming for Engineers).

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Ceg 416-01: Matrix Computations, Ronald F. Taylor Oct 2010

Ceg 416-01: Matrix Computations, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering. A familiarity with MATLAB is useful, and the ability to program in languages such as C/C++ or Fortran is very important. A basic knowledge of matrix algebra is …

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Ceg 402/602-01: Introduction To Computer Communication, Bin Wang Oct 2010

Ceg 402/602-01: Introduction To Computer Communication, Bin Wang

Computer Science & Engineering Syllabi

This course provides an introduction to basic concepts of communication networks, different types of networks, protocols over different layers, and network applications through lectures, labs, homework, and reading on relevant materials. You will
•Understand networking principles, protocols, and technologies.
•Understand some design and performance issues involved in providing a
network service.
•Acquire background for supporting e-commerce, e-government, and e-education.
•Gain hands-on experience with programming techniques for network
protocols.
•Obtain background for original research in computer networks.

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Ceg 360/560-01: Digital System Design, Travis E. Doom Oct 2010

Ceg 360/560-01: Digital System Design, Travis E. Doom

Computer Science & Engineering Syllabi

Design of digital systems. Topics include flip-flops, registers, counters, programmable logic devices, memory devices, register-level design, and microcomputer system organization. Students must show competency in the design of digital systems. 3 hours lecture, 2 hours lab. Prerequisite: CE0260.

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