Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Wright State University (172)
- Embry-Riddle Aeronautical University (27)
- Old Dominion University (27)
- Selected Works (25)
- TÜBİTAK (24)
-
- Washington University in St. Louis (21)
- Singapore Management University (17)
- Missouri University of Science and Technology (15)
- University of Central Florida (12)
- Air Force Institute of Technology (8)
- University of Arkansas, Fayetteville (8)
- Munster Technological University (6)
- SelectedWorks (6)
- Portland State University (4)
- Iowa State University (3)
- Claremont Colleges (2)
- Technological University Dublin (2)
- University of Texas at El Paso (2)
- Brigham Young University (1)
- Chapman University (1)
- Florida International University (1)
- Louisiana Tech University (1)
- Morehead State University (1)
- Pace University (1)
- Rowan University (1)
- San Jose State University (1)
- University of Missouri, St. Louis (1)
- University of Nevada, Las Vegas (1)
- Utah State University (1)
- Western Michigan University (1)
- Keyword
-
- Department of Computer Science and Engineering (5)
- Image processing (5)
- Airplanes (4)
- Bayesian Networks (4)
- Computer vision (4)
-
- Sensor networks (4)
- Algorithms (3)
- Computer security (3)
- Diagnosis (3)
- Genetic algorithms (3)
- Kernel Learning & Support Vector Machine (3)
- Optimization (3)
- Privacy (3)
- Recursive Identification & Estimation (3)
- Runways (3)
- Steganography (3)
- Adaptive Control (2)
- Air pilots (2)
- Airports (2)
- Arithmetic Circuits (2)
- Batch/Fed-batch Processes (2)
- Classification (2)
- Computer Forensics (2)
- Computer networks--Security measures (2)
- Computer simulation (2)
- Data disposal (2)
- Data protection (2)
- Data recovery (2)
- Digital Forensics (2)
- Digital forensics (2)
- Publication
-
- Computer Science & Engineering Syllabi (162)
- Turkish Journal of Electrical Engineering and Computer Sciences (24)
- All Computer Science and Engineering Research (21)
- Journal of Digital Forensics, Security and Law (21)
- Research Collection School Of Computing and Information Systems (17)
-
- Electrical & Computer Engineering Theses & Dissertations (13)
- Electrical and Computer Engineering Faculty Research & Creative Works (13)
- Electronic Theses and Dissertations (12)
- Professor Aditya K. Ghose (12)
- Computer Science and Computer Engineering Undergraduate Honors Theses (8)
- Theses and Dissertations (8)
- Annual ADFSL Conference on Digital Forensics, Security and Law (6)
- Browse all Theses and Dissertations (5)
- Computer Science and Engineering Faculty Publications (5)
- Ole J Mengshoel (5)
- Theses (5)
- Chien Hsun Chen (4)
- Dissertations and Theses (4)
- Computational Modeling & Simulation Engineering Theses & Dissertations (3)
- Computer Science Faculty Publications (3)
- Computer Science Theses & Dissertations (3)
- Dr. Yi Liu (3)
- Song Zhang (3)
- Articles (2)
- CGU Faculty Publications and Research (2)
- Civil & Environmental Engineering Theses & Dissertations (2)
- Computer Science Faculty Research & Creative Works (2)
- Electrical & Computer Engineering Faculty Publications (2)
- Faculty Publications (2)
- Open Access Theses & Dissertations (2)
- Publication Type
- File Type
Articles 31 - 60 of 394
Full-Text Articles in Engineering
Ceg 420/620: Computer Architecture, Jack Jean
Ceg 420/620: Computer Architecture, Jack Jean
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 Dietel et al 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, Keke Chen
Cs 400/600: Data Structures And Software Design, Keke Chen
Computer Science & Engineering Syllabi
This course will cover the implementation of classical data structures and control structures, an introduction to the fundamentals of algorithm design and analysis, and the basic problem solving techniques.
Cs 410/610: Theoretical Foundations Of Computing, Thomas Sudkamp
Cs 410/610: Theoretical Foundations Of Computing, Thomas Sudkamp
Computer Science & Engineering Syllabi
This course is an introduction to one of the fundamental topics in the theory of computer science: computability theory. Computability theory is concerned with determining whether there is an algorithmic solution to a problem. The study of computability uses the Turing machine as the basic computational model. A Turing machine is a random access, read-write, finite state automaton. Although the Turing machine provides a simple computational framework, the Church-Turing thesis asserts that any problem that can be solved in any algorithmic manner can be solved by a Turing machine.
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 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, by Thomas Sudkamp.
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 766: Evolutionary Computation, Mateen M. Rizki
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/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 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 205: Computer Literacy And Office Automation, Ann Tirpack
Cs 205: Computer Literacy And Office Automation, Ann Tirpack
Computer Science & Engineering Syllabi
No abstract provided.
Cs 214: Visual Basic Programming, Vanessa Starkey
Cs 214: Visual Basic Programming, Vanessa Starkey
Computer Science & Engineering Syllabi
This course will cover the fundamentals of object-oriented computer programming including design, structure, debugging, and testing. Visual Basic 2008 will be used for developing programs.
Cs 241: Introduction To Computer Science Ii, Ronald F. Taylor
Cs 241: Introduction To Computer Science Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
A continuation of CS 240. Emphasis is on solving more complex problems using object oriented programming. Prerequisite: CS 240. 4 credit hours.
Cs 240: Introduction To Computer Science I, Mateen M. Rizki
Cs 240: Introduction To Computer Science I, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 242: Computer Programming Iii, Tom S. Wailes
Cs 242: Computer Programming Iii, Tom S. Wailes
Computer Science & Engineering Syllabi
No abstract provided.
Cs 875: Semantic Web, Amit P. Sheth
Cs 875: Semantic Web, Amit P. Sheth
Computer Science & Engineering Syllabi
World Wide Web (Web 1.0, or "the Web," as we now know it) centers on documents and semistructured data in html, rss, and xml. The next generation Web, also called Web 2.0 and Web 3.0, has already started to emerge. Web 2.0 is about user-generated content, user participation such as through tagging, and social networking. Web 3.0, also called Semantic Web, is about labeling content such that machines can process it more intelligently and humans can exploit it more effectively. These labels or metadata add semantics (meaning) to data, and their formal representation enables powerful reasoning that leads not only …
Cs 705: Introduction To Data Mining, Guozhu Dong
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, spatial and sequence mining, privacy, and data mining applications. 3 hours lecture, 2 hours lab.
Novel Dynamic Representation And Control Of Power Networks Embedded With Facts Devices, Shahab Mehraeen, Jagannathan Sarangapani, Mariesa Crow
Novel Dynamic Representation And Control Of Power Networks Embedded With Facts Devices, Shahab Mehraeen, Jagannathan Sarangapani, Mariesa Crow
Electrical and Computer Engineering Faculty Research & Creative Works
FACTS devices have been shown to be powerful in damping power system oscillations caused by faults; however, in the multi machine control using FACTS, the control problem involves solving differential-algebraic equations of a power network which renders the available control schemes ineffective due to heuristic design and lack of know how to incorporate FACTS into the network. A method to generate nonlinear dynamic representation of a power system consisting of differential equations alone with universal power flow controller (UPFC) is introduced since differential equations are typically preferred for controller development. Subsequently, backstepping methodology is utilized to reduce the generator oscillations …
A Model Based Fault Detection Scheme For Nonlinear Multivariable Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani
A Model Based Fault Detection Scheme For Nonlinear Multivariable Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a novel robust scheme is developed for detecting faults in nonlinear discrete time multi-input and multi-output systems in contrast with the available schemes that are developed in continuous-time. Both state and output faults are addressed by considering separate time profiles. The faults, which could be incipient or abrupt, are modeled using input and output signals of the system. By using nonlinear estimation techniques, the discrete-time system is monitored online. Once a fault is detected, its dynamics are characterized using an online approximator. A stable parameter update law is developed for the online approximator scheme in discrete-time. The …
Joint Adaptive Distributed Rate And Power Control For Wireless Networks, James W. Fonda, Jagannathan Sarangapani, Steve Eugene Watkins
Joint Adaptive Distributed Rate And Power Control For Wireless Networks, James W. Fonda, Jagannathan Sarangapani, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
A novel adaptive distributed rate and power control (ADRPC) protocol is introduced for wireless networks. The proposed controller contrasts from others by providing nonlinear compensation to the problem of transmission power and bit-rate adaptation. The protocol provides control of both signal-to-interference ratio (SIR) and quality-of-service (QoS) support to bit-rate adaptation. Bit-rate adaptation is performed by local estimation of congestion levels, rendering little packet overhead, using Lyapunov based adaptive control methods. Performance of the proposed control scheme is shown through analytical proof and simulation examples.
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, John C. Gallagher
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, John C. Gallagher
Computer Science & Engineering Syllabi
Digital Computer Hardware. Topics include switching algebra and switching
functions, logic design of combinational and sequential circuits using TTL,
combinational logic design with MSI and LSI, busing, storage elements, and
instrumentation.
Ceg 777: Computer Aided Geometric Design, Arthur A. Goshtasby
Ceg 777: Computer Aided Geometric Design, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course covers the fundamentals of geometric modeling, including design of curves and surfaces, composite curves and surfaces, and subdivision techniques for creating free-form shapes.
Ceg 770: Computer Engineering Mathematics, Yong Pei
Ceg 770: Computer Engineering Mathematics, Yong Pei
Computer Science & Engineering Syllabi
Computer Engineering and Science students need proficiency in relevant applied mathematics to be able to discover and model difficult real-world computer engineering and science problems. The relationship of these problems to mathematical theory will be discussed. This course provides an introduction to linear and nonlinear programming, probability and stochastic process, and queueing theory. In addition to mathematical theory, appropriate applications will be presented.
Ceg 760: Advanced Software Computer Engineering, Thomas C. Hartrum
Ceg 760: Advanced Software Computer Engineering, Thomas C. Hartrum
Computer Science & Engineering Syllabi
This course covers advanced topics in software engineering. Aspects of problem specification, design, verification, and evaluation are discussed. We will focus on design methods, including software patterns and software architecture, plus some advanced topics involving formal methods of software specification or evaluation using software metrics. Students will participate in team projects to apply the methods discussed.
Ceg 399: Introduction To Software Testing, John A. Reisner
Ceg 399: Introduction To Software Testing, John A. Reisner
Computer Science & Engineering Syllabi
This course covers software testing strategies, along with established best practices, so students learn how to test their software in a complete and systematic (vice ad-hoc) manner. Particular attention is paid to planning, writing, and executing software testing documentation, i.e., software test plan, to include documented results. Various projects are assigned, designed to illustrate various challenges associated with software testing, and to reinforce the strategies and techniques used to overcome these challenges
Ceg 221: Advanced C Programming For Engineers, Robert Helt
Ceg 221: Advanced C Programming For Engineers, Robert Helt
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, array, pointers, structures as well as sorting algorithms, linked lists, complex numbers, stacks, queues, hash tables, and binary trees.
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
No abstract provided.
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 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 790: Information Security, Meilin Liu
Cs 790: Information Security, Meilin Liu
Computer Science & Engineering Syllabi
This course gives a comprehensive study of security vulnerabilities in information systems and the basic techniques for developing secure applications and practicing safe computing. Topics include: Conventional encryption; Hashing functions and data integrity; Public-key encryption (RSA, Elliptic-Curve); Digital signature; Block cipher; Watermarking for multimedia; Security standards and applications; Building secure software and systems; Management and analysis of security; Legal and ethical issues in computer security.
Cs 209: Computer Programming For Business Ii, David M. Hutchison
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.