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Physical Sciences and Mathematics Commons™

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2011

Wright State University

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Articles 1 - 30 of 278

Full-Text Articles in Physical Sciences and Mathematics

Overview Of Contrast Data Mining As A Field And Preview Of An Upcoming Book, Guozhu Dong, James Bailey Dec 2011

Overview Of Contrast Data Mining As A Field And Preview Of An Upcoming Book, Guozhu Dong, James Bailey

Kno.e.sis Publications

This report provides an overview of the field of contrast data mining and its applications, and offers a preview of an upcoming book on the topic. The importance of contrasting is discussed and a brief survey is given covering the following topics: general definitions and terminology for contrast patterns, representative contrast pattern mining algorithms, applications of contrast mining for fundamental data mining tasks such as classification and clustering, applications of contrast mining in bioinformatics, medicine, blog analysis, image analysis and subgroup mining, results on contrast based dataset similarity measure, and on analyzing item interaction in contrast patterns, and open research …

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Computing Inconsistency Measure Based On Paraconsistent Semantics, Pascal Hitzler, Yue Ma, Guilin Qi Dec 2011

Computing Inconsistency Measure Based On Paraconsistent Semantics, Pascal Hitzler, Yue Ma, Guilin Qi

Computer Science and Engineering Faculty Publications

Measuring inconsistency in knowledge bases has been recognized as an important problem in several research areas. Many methods have been proposed to solve this problem and a main class of them is based on some kind of paraconsistent semantics. However, existing methods suffer from two limitations: (i) they are mostly restricted to propositional knowledge bases; (ii) very few of them discuss computational aspects of computing inconsistency measures. In this article, we try to solve these two limitations by exploring algorithms for computing an inconsistency measure of first-order knowledge bases. After introducing a four-valued semantics for first-order logic, we define an …

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Transition From Static To Dynamic Macroscopic Friction In The Framework Of The Frenkel-Kontorova Model, Naum I. Gershenzon, Gust Bambakidis Nov 2011

Transition From Static To Dynamic Macroscopic Friction In The Framework Of The Frenkel-Kontorova Model, Naum I. Gershenzon, Gust Bambakidis

Physics Faculty Publications

A new generation of experiments on dry macroscopic friction has revealed that the transition from static to dynamic friction is essentially a spatially and temporally non-uniform process, initiated by a rupture-like detachment front. We show the suitability of the Frenkel-Kontorova model for describing this transition. The model predicts the existence of two types of detachment fronts, explaining both the variability and abrupt change of velocity observed in experiments. The quantitative relation obtained between the velocity of the detachment front and the ratio of shear to normal stress is consistent with experiments. The model provides a functional dependence between slip velocity …

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Configuration As A Source Of Information, Joseph W. Houpt, Robert D. Hawkins, Ami Eidels, James T. Townsend, Michael J. Wenger Nov 2011

Configuration As A Source Of Information, Joseph W. Houpt, Robert D. Hawkins, Ami Eidels, James T. Townsend, Michael J. Wenger

Joseph W. Houpt

No abstract provided.

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Configuration As A Source Of Information, Joseph W. Houpt, Robert D. Hawkins, Ami Eidels, James T. Townsend, Michael J. Wenger Nov 2011

Configuration As A Source Of Information, Joseph W. Houpt, Robert D. Hawkins, Ami Eidels, James T. Townsend, Michael J. Wenger

Psychology Faculty Publications

No abstract provided.

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Fundamental Properties Of Simple Emergent Feature Processing, Robert D. Hawkins, Joseph W. Houpt, Ami Eidels, James T. Townsend, Michael J. Wenger Nov 2011

Fundamental Properties Of Simple Emergent Feature Processing, Robert D. Hawkins, Joseph W. Houpt, Ami Eidels, James T. Townsend, Michael J. Wenger

Joseph W. Houpt

No abstract provided.

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Fundamental Properties Of Simple Emergent Feature Processing, Robert D. Hawkins, Joseph W. Houpt, Ami Eidels, James T. Townsend, Michael J. Wenger Nov 2011

Fundamental Properties Of Simple Emergent Feature Processing, Robert D. Hawkins, Joseph W. Houpt, Ami Eidels, James T. Townsend, Michael J. Wenger

Psychology Faculty Publications

No abstract provided.

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Terahertz Spectroscopic Reflection And Scattering Measurements Of Aligned Cnt Arrays As A Function Of Carbon Nanotube Length, Satya Ganti, Lindsay Owens, Stanley Smith Iv, Jason A. Deibel Oct 2011

Terahertz Spectroscopic Reflection And Scattering Measurements Of Aligned Cnt Arrays As A Function Of Carbon Nanotube Length, Satya Ganti, Lindsay Owens, Stanley Smith Iv, Jason A. Deibel

Physics Faculty Publications

No abstract provided.

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Crucible Coating Analysis By Thz Spectroscopy, Ryan Shaver, Hannah R. Jones, Jason A. Deibel Oct 2011

Crucible Coating Analysis By Thz Spectroscopy, Ryan Shaver, Hannah R. Jones, Jason A. Deibel

Physics Faculty Publications

No abstract provided.

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Characterization Of Metameterial Devices Using Terahertz Time-Domain Spectroscopy, Hannah R. Jones, Satya Ganti, Jason A. Deibel, Ronald A. Coutu Jr. Oct 2011

Characterization Of Metameterial Devices Using Terahertz Time-Domain Spectroscopy, Hannah R. Jones, Satya Ganti, Jason A. Deibel, Ronald A. Coutu Jr.

Physics Faculty Publications

No abstract provided.

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The Knowledge-Driven Exploration Of Integrated Biomedical Knowledge Sources Facilitates The Generation Of New Hypotheses, Vinh Nguyen, Olivier Bodenreider, Todd Minning, Amit P. Sheth Oct 2011

The Knowledge-Driven Exploration Of Integrated Biomedical Knowledge Sources Facilitates The Generation Of New Hypotheses, Vinh Nguyen, Olivier Bodenreider, Todd Minning, Amit P. Sheth

Kno.e.sis Publications

Knowledge gained from the scientific literature can complement newly obtained experimental data in helping researchers understand the pathological processes underlying diseases. However, unless the scientific literature and experimental data are semantically integrated, it is generally difficult for scientists to exploit the two sources effectively. We argue that, in addition to the semantic integration of heterogeneous knowledge sources, the usability of the integrated resource by scientists is dependent upon the availability of knowledge visualization and exploration tools. Moreover, the integration techniques must be scalable and the exploration interfaces must be easy to use by bench scientists. The end goal of such …

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Demonstration: Real-Time Semantic Analysis Of Sensor Streams, Harshal Patni, Cory Andrew Henson, Michael Cooney, Amit P. Sheth, Krishnaprasad Thirunarayan Oct 2011

Demonstration: Real-Time Semantic Analysis Of Sensor Streams, Harshal Patni, Cory Andrew Henson, Michael Cooney, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The emergence of dynamic information sources – including sensor networks – has led to large streams of real-time data on the Web. Research studies suggest, these dynamic networks have created more data in the last three years than in the entire history of civilization, and this trend will only increase in the coming years [1]. With this coming data explosion, real-time analytics software must either adapt or die [2]. This paper focuses on the task of integrating and analyzing multiple heterogeneous streams of sensor data with the goal of creating meaningful abstractions, or features. These features are then temporally aggregated …

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Demonstration: Secure - Semantics Empowered Rescue Environment, Pratikkumar Desai, Cory Andrew Henson, Pramod Anantharam, Amit P. Sheth Oct 2011

Demonstration: Secure - Semantics Empowered Rescue Environment, Pratikkumar Desai, Cory Andrew Henson, Pramod Anantharam, Amit P. Sheth

Kno.e.sis Publications

This paper demonstrates a Semantic Web enabled system for collecting and processing sensor data within a rescue environment. The real-time system collects heterogeneous raw sensor data from rescue robots through a wireless sensor network. The raw sensor data is converted to RDF using the Semantic Sensor Network (SSN) ontology and further processed to generate abstractions used for event detection in emergency scenarios.

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Poster Proceedings Of The Fifth International Conference On Scalable Uncertainty Management, Scalable Uncertainty Management Committee, Thomas Sudkamp, Salem Benferhat, John Grant Oct 2011

Poster Proceedings Of The Fifth International Conference On Scalable Uncertainty Management, Scalable Uncertainty Management Committee, Thomas Sudkamp, Salem Benferhat, John Grant

SUM 2011 - Fifth International Conference on Scalable Uncertainty Management

In many applications nowadays, information systems become increasingly complex, open and dynamic. They involve massive amounts of data, generally issued from different sources. Moreover, information is often inconsistent, incomplete, heterogeneous and pervaded with uncertainty. The annual International Conference on Scalable Uncertainty Management (SUM) has grown out of this wide-ranging interest in the management of uncertainty and inconsistency in databases, the Web, the Semantic Web, and Artificial Intelligence. The SUM conference series aims at bringing together researchers from these areas by highlighting new methods and technologies devoted to the problems raised by the need for a meaningful and computationally tractable management …

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Student Fact Book, Fall 2011, Thirty-Fifth Annual Edition, Wright State University, Office Of Student Information Systems, Wright State University Oct 2011

Student Fact Book, Fall 2011, Thirty-Fifth 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, 2011.

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Cs 240: Computer Programming - I, Michael Ondrasek Oct 2011

Cs 240: Computer Programming - I, Michael Ondrasek

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 240: Distance Learning Computer Programming - I, Michael Ondrasek Oct 2011

Cs 240: Distance Learning Computer Programming - I, Michael Ondrasek

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 a lecture and laboratory section. 4 credit hours.

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Cs 241: Computer Programming Ii, Jay Dejongh Oct 2011

Cs 241: Computer Programming Ii, Jay Dejongh

Computer Science & Engineering Syllabi

A continuation of CS 240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.

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Cs 209: Computer Programming For Business Ii, Dennis Kellermeier Oct 2011

Cs 209: Computer Programming For Business Ii, Dennis Kellermeier

Computer Science & Engineering Syllabi

CS 209 is the second of a two quarter sequence in programming for business students. It is required for Management Information Science majors. The courses are designed to help students achieve a high degree of facility in intermediate level programming.

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Cs 214: Visual Basic Programming, Eric Saunders Oct 2011

Cs 214: Visual Basic Programming, Eric Saunders

Computer Science & Engineering Syllabi

This course will cover the fundamentals of object-oriented computer programming; with an emphasis on design, structure, debugging, and testing. Visual Basic 2010 will be used for developing programs.

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Cs 206-01: Computer Software Productivity Tools, John P. Herzog Oct 2011

Cs 206-01: 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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Cs 242: Computer Programming Iii, Mateen M. Rizki Oct 2011

Cs 242: Computer Programming Iii, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan Oct 2011

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 400/600: Data Structures And Software Design, Meilin Liu Oct 2011

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 400/600: Date Structures And Algorithms, Keke Chen Oct 2011

Cs 400/600: Date Structures And Algorithms, Keke Chen

Computer Science & Engineering Syllabi

This course will cover the introduction to the fundamentals of algorithm design and analysis, the implementation of classical data structures and control structures, and the basic problem solving techniques.

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Cs 415: Social Implications Of Computing, Leo Finkelstein Oct 2011

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 405/605: Introduction To Database Management Systems, Soon M. Chung Oct 2011

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 466/666: Introduction To Formal Languages, Guozhu Dong Oct 2011

Cs 466/666: Introduction To Formal Languages, Guozhu Dong

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 in strings/sentences: the syntax of languages can be defined using grammars and the patterns can be accepted by finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between language definition mechanisms and pattern recognition devices. The text will be the third edition of Languages and Machines: An Introduction to the Theory o/Computer Science, by Thomas Sudkamp.

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Cs 475/675-01: Web Information Systems, Amit P. Sheth Oct 2011

Cs 475/675-01: Web Information Systems, Amit P. Sheth

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 705: Introduction To Data Mining, Guozhu Dong Oct 2011

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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