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Articles 331 - 360 of 705
Full-Text Articles in Computer Engineering
A Genetic Algorithm Approach For Optimized Routing, Pavithra Gudur
A Genetic Algorithm Approach For Optimized Routing, Pavithra Gudur
Electrical & Computer Engineering Theses & Dissertations
Genetic Algorithms find several applications in a variety of fields, such as engineering, management, finance, chemistry, scheduling, data mining and so on, where optimization plays a key role. This technique represents a numerical optimization technique that is modeled after the natural process of selection based on the Darwinian principle of evolution. The Genetic Algorithm (GA) is one among several optimization techniques and attempts to obtain the desired solution by generating a set of possible candidate solutions or populations. These populations are then compared and the best solutions from the set are retained. Subsequently, new candidate solutions are produced, and the …
Selective Phase-Based De-Weathering (Spdw), Christopher Morris
Selective Phase-Based De-Weathering (Spdw), Christopher Morris
Electrical & Computer Engineering Theses & Dissertations
No Abstract.
Determining The Utility Of Technology For Education, Brian Spencer Dillon
Determining The Utility Of Technology For Education, Brian Spencer Dillon
Computational Modeling & Simulation Engineering Theses & Dissertations
There is a substantial debate concerning the place of technology in education. This debate has been going on over every technology introduced through at least three millennia although the modern version takes place in journal articles. Technology, in the general sense, is already in the educational arena 1n ways which have become so commonplace that we hardly question them today. More modern technologies, however, meet perpetual resistance in achieving their potential. This paper calls into question the most recent trend in research and suggests a new research paradigm which focuses not only on student achievement, but on a variety of …
Expression Invariant Face Recognition Using Shifted Phase-Encoded Joint Transform Correlation Technique, Trisha Ahmed
Expression Invariant Face Recognition Using Shifted Phase-Encoded Joint Transform Correlation Technique, Trisha Ahmed
Electrical & Computer Engineering Theses & Dissertations
A new face recognition algorithm using a synthetic discriminant function based shifted phase-encoded fringe-adjusted joint transform correlation (SDF-SPFJTC) technique is proposed. The dark region in an input image is enhanced by using a nonlinear technique named ratio enhancement in gaussian neighborhood (REIGN). Histogram equalization and Gaussian smoothing are then performed to the enhanced face images and the synthetic discriminant function (SDF) image before they are subjected to the joint transform correlation process. The two distinct correlation peaks produced on extreme ends of the SPFJTC plane signifies the recognition of a potential target. A post processing step utilizes the peak-to-clutter ratio …
Embedding Gps Data Into Speech Signal, Kagan Can
Embedding Gps Data Into Speech Signal, Kagan Can
Electrical & Computer Engineering Theses & Dissertations
Communication between deployed troops is very important on a battlefield. The real time knowledge of the location of the communicating patter is also very important in many situations because if you do not know the exact position of your units you cannot give correct orders. A minor error in an order can cause fatal results or lead to defeat. In many cases the position of the units is given through the speech channel by simply speaking the coordinates of the location. This can cause misunderstandings due to misinterpretation of the speech and makes it unsafe to rely on such communications. …
Cs 206: Computer Software Productivity Tools, John P. Herzog
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.
Cs 790: Optimizing Compliers For Modern Architectures, Meilin Liu
Cs 790: Optimizing Compliers For Modern Architectures, Meilin Liu
Computer Science & Engineering Syllabi
This course studies compiler optimization for modern architectures. Between parsing the input program and generating the target machine code, optimizing compilers perform a wide range of program transformations on a program to improve its performance. In this course we focus on data dependence analysis, program transformations and loop transformations, loop scheduling, and a combination of these optimizing techniques.
Cs 499/699: Logic For Computer Scientists, Pascal Hitzler
Cs 499/699: Logic For Computer Scientists, Pascal Hitzler
Computer Science & Engineering Syllabi
Logic is often called the Calculus of Computer Science. Indeed, logic permeates most areas of Computer Science in one way or the other, sometimes more prominently, and sometimes as motivational or formal underpinning. Examples are database schema, program verification, semantics of programming languages, computer security, artificial intelligence, cognitive robotics, Web information systems, computer hardware circuitry, or modeling in software engineering.
Cs 740: Algorithms, Complexity And The Theory Of Computability, Pascal Hitzler
Cs 740: Algorithms, Complexity And The Theory Of Computability, Pascal Hitzler
Computer Science & Engineering Syllabi
What does it mean to say that some computational problem is intrinsically more difficult than some other problem? How can I claim that I have found a good algorithmic solution? The study of these questions gives rise to an area of Theoretical Computer Science called Complexity Theory, which is based on a systematic and thorough formal study of the complexity of problems with respect to their algorithmic solvability, using Turing machines as main conceptual tool. In this class, we will understand how problem and algorithmic complexity is measured, and discuss some of the main complexity classes arising from this study. …
Cs 400/600: Data Structures And Software Design, Guozhu Dong
Cs 400/600: Data Structures And Software Design, Guozhu Dong
Computer Science & Engineering Syllabi
No abstract provided.
Cs 142: Computer Programming - Ii, Michael Ondrasek
Cs 142: Computer Programming - Ii, Michael Ondrasek
Computer Science & Engineering Syllabi
The concepts introduced in CS 141 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, graphics, development, of user interfaces and handling runtime errors with an emphasis on program verification and testing. Students must register for both lecture and one laboratory section. 4 credit hours. Prerequisite: CS 141 (Computer Programming I) and MTH 127 (College Algebra) or equivalent.
Cs 141: Computer Programming - I, Michael Ondrasek
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. 4 credit hours. Prerequisite: MTH 127 (College Algebra) or equivalent.
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 242: Computer Programming Iii, Thomas Wischgoll
Cs 242: Computer Programming Iii, Thomas Wischgoll
Computer Science & Engineering Syllabi
No abstract provided.
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: the syntax of languages can be defined using grammars and patterns accepted by finite state machines. Along with presenting the fundamentals of these tow 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 Sciences, by Thomas Sudkamp.
Cs 242: Computer Programming Iii, Mateen M. Rizki
Cs 242: Computer Programming Iii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 784: Programming Languages, Prabhaker Mateti
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.
Cs 801: Advanced Database Systems, Soon M. Chung
Cs 801: Advanced Database Systems, Soon M. Chung
Computer Science & Engineering Syllabi
Introduction of current trends and research issues in database systems.
Cs 241-01: Computer Programming Ii, Travis E. Doom
Cs 241-01: Computer Programming Ii, Travis E. Doom
Computer Science & Engineering Syllabi
A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.
Cs 271/Bio 371: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane
Cs 271/Bio 371: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane
Computer Science & Engineering Syllabi
The course web page will be the primary method for distributing important announcements, course material, class notes, etc. Please check the page often. Login to the campus WebCT system using your cats username and password. The URL is: http://wisdom.wright.edu
Cs 774: Logic Programming, Krishnaprasad Thirunarayan
Cs 774: Logic Programming, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course deals with logic programming paradigm and Prolog. We discuss the syntax and the semantics of Prolog, the working of a Prolog interpreter and various applications of Prolog. In particular, we consider the use of Prolog of database querying, parsing, meta-programming, and problem solving in AI. The programming assignments can be coded in SWI_Prolog or XSB.
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 208-01: Computer Programming For Business I, David M. Hutchison
Cs 208-01: 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.
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 material in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.
Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Ronald F. Taylor
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.
Cs 205-04, 05, 06: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 205-04, 05, 06: 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.
Cs 214: Visual Basic Programming, Michael Ondrasek
Cs 214: Visual Basic Programming, Michael Ondrasek
Computer Science & Engineering Syllabi
This course provides a general introduction to the fundamentals of object computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming languages. 4 credit hours.
Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang
Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang
Computer Science & Engineering Syllabi
This course will cover the fundamentals of graphical probability models, focusing on the key representations, algorithms and theories that have facilitated much recent progress in artificial intelligence research.
Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby
Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course will discuss fundamentals of Pattern Recognition, including supervised learning and clustering.
Ceg 403/603-01: Personal Area Networks, Yong Pei
Ceg 403/603-01: Personal Area Networks, Yong Pei
Computer Science & Engineering Syllabi
No abstract provided.