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Articles 1291 - 1320 of 3840
Full-Text Articles in Physical Sciences and Mathematics
Demonstration: Real-Time Semantic Analysis Of Sensor Streams, Harshal Patni, Cory Andrew Henson, Michael Cooney, Amit P. Sheth, Krishnaprasad Thirunarayan
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 …
Demonstration: Secure - Semantics Empowered Rescue Environment, Pratikkumar Desai, Cory Andrew Henson, Pramod Anantharam, Amit P. Sheth
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.
Poster Proceedings Of The Fifth International Conference On Scalable Uncertainty Management, Scalable Uncertainty Management Committee, Thomas Sudkamp, Salem Benferhat, John Grant
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 …
Student Fact Book, Fall 2011, Thirty-Fifth Annual Edition, Wright State University, Office Of Student Information Systems, Wright State University
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.
Cs 240: Computer Programming - I, Michael Ondrasek
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
Cs 240: Distance Learning Computer Programming - I, Michael Ondrasek
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.
Cs 241: Computer Programming Ii, Jay Dejongh
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.
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
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.
Cs 214: Visual Basic Programming, Eric Saunders
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.
Cs 206-01: Computer Software Productivity Tools, John P. Herzog
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.
Cs 242: Computer Programming Iii, Mateen M. Rizki
Cs 242: Computer Programming Iii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
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.
Cs 400/600: Data Structures And Software Design, Meilin Liu
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.
Cs 400/600: Date Structures And Algorithms, Keke Chen
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.
Cs 415: Social Implications Of Computing, Leo Finkelstein
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.
Cs 466/666: Introduction To Formal Languages, Guozhu Dong
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.
Cs 475/675-01: Web Information Systems, Amit P. Sheth
Cs 475/675-01: Web Information Systems, Amit P. Sheth
Computer Science & Engineering Syllabi
No abstract provided.
Cs 499/699: Cloud Computing, Keke Chen
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: distributed data crunching with MapReduce, cloud and datacenter filesystems, virtualization, cloud security&privacy, Amazon Web Services, and interactive web-based applications. Students are expected to finish several mini projects, read some papers, and take the final exam. Participation in the class discussion is strongly encouraged. Guest speakers might be invited for some particular topics. (3Hours Lecture + 1 Hour lab).
Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
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 740: Algorithms, Complexity And The Theory Of Computability, Michael L. Raymer
Cs 740: Algorithms, Complexity And The Theory Of Computability, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs/Mth 410/610-01: Theoretical Foundations Of Computing, Sarah Gothard
Cs/Mth 410/610-01: Theoretical Foundations Of Computing, Sarah Gothard
Computer Science & Engineering Syllabi
Turing machines; partial-recursive functions; equivalence of computing paradigms; Church-Turing thesis; undecidability; intractability. Four hours lecture.
Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
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/Mth 316/516: Survey Of Numerical Methods For Computational Science, Michael Linger
Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Michael Linger
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.
Cs 205-08: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 205-08: Introduction To Computers And Office Productivity Software, Terri Bauer
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.
Ceg 260-01: Digital Computer Hardware And Switching Circuits, John C. Gallagher
Ceg 260-01: Digital Computer Hardware And Switching Circuits, John C. Gallagher
Computer Science & Engineering Syllabi
This course covers the design and analysis of basic digital circuits for computation. Topics will Include number systems, basic Boolean algebra, combinational circuit design and analysis, basic Medium Scale Integration (MSI) components, basic memory devices, basic sequential circuits, and binary arithmetic. At the end of this course you should be able to design, optimize, and Implement combinational logic for a variety of applications. You should also be familiar with basic MSI components and sequential circuit concepts In preparation for more advanced study of computer architecture, sequential circuit analysis, design, and optimization.
Cs 208: Computer Programming For Business I, David M. Hutchison
Cs 208: Computer Programming For Business I, David M. Hutchison
Computer Science & Engineering Syllabi
CS 208 Is the first In a sequence of two programming classes required for MIS majors. This course will Introduce students to the basic concepts of programming. Examples are from business applications and display graphics and emphasis Is on problem solving with the computer as a tool.
Monitoring The Health Of Glen Helen Nature Preserve: Can I Drink The Water?, David Kammler Ph.D., Triet Minh Truong, Garrett Vanness, Audrey E. Mcgowin Ph.D.
Monitoring The Health Of Glen Helen Nature Preserve: Can I Drink The Water?, David Kammler Ph.D., Triet Minh Truong, Garrett Vanness, Audrey E. Mcgowin Ph.D.
Chemistry Student Publications
This poster presents the results for water quality testing in Glen Helen by the Advanced Environmental Chemistry and Analysis course at Wright State University under the direction of Professor Audrey McGowin and the Global Seminar: Water course at Antioch College under the direction of Professor David Kammler in Fall 2011. Water quality data are presented for the Yellow Spring in Yellow Springs, Ohio for September, October, and November of 2011. Other test sites included Birch Creek and other sites along Yellow Springs Creek.
This poster was created and presented at the 3rd Annual Wright State University Campus-Wide Celebration of Research, …
Ceg 210-01: Pc Networking I, Chris P. Fickert
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.
Ceg 220-01: Introduction To C Programming For Engineers, Jay Dejongh
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: MTR 229 (Calculus I) or EGR 101 (Engineering Mathematics). The course includes a scheduled laboratory section for which you must register.
Ceg 320/520-01: Computer Organization, Sarah Gothard
Ceg 320/520-01: Computer Organization, Sarah Gothard
Computer Science & Engineering Syllabi
Organizational and sequential operation of a digital computer. Program control, memory organization and hierarchy, stacks and parameter passing, interrupts and traps, I/O devices, program structure, machine code and assembly language. Three hours lecture, two hours lab.