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2007

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Articles 2851 - 2880 of 3831

Full-Text Articles in Engineering

Dynamic Simulations Of Cascading Failures, Hong Tao Ma, Badrul H. Chowdhury Jan 2007

Dynamic Simulations Of Cascading Failures, Hong Tao Ma, Badrul H. Chowdhury

Electrical and Computer Engineering Faculty Research & Creative Works

Steady state analysis cannot provide the details of how system evolves in cascading failure. Dynamic response of generator plays an important role in power system operation and blackout events. In this paper, classical generator and detail generator models are integrated into system model for cascading dynamic simulations.. The cascading scenarios are compared using both steady state and dynamic simulations. Classical models are simpler; however, the detailed generator model is more accurate. Generator performance of speed deviation and angle deviations as well as the bus voltage profile are investigated for various scenarios. The IEEE 118-bus, 20-generator test case is used as …

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Near Optimal Neural Network-Based Output Feedback Control Of Affine Nonlinear Discrete-Time Systems, Qinmin Yang, Jagannathan Sarangapani Jan 2007

Near Optimal Neural Network-Based Output Feedback Control Of Affine Nonlinear Discrete-Time Systems, Qinmin Yang, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel online reinforcement learning neural network (NN)-based optimal output feedback controller, referred to as adaptive critic controller, is proposed for affine nonlinear discrete-time systems, to deliver a desired tracking performance. The adaptive critic design consist of three entities, an observer to estimate the system states, an action network that produces optimal control input and a critic that evaluates the performance of the action network. The critic is termed adaptive as it adapts itself to output the optimal cost-to-go function which is based on the standard Bellman equation. By using the Lyapunov approach, the uniformly ultimate boundedness …

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Neural Network Based Method For Predicting Nonlinear Load Harmonics, Joy Mazumdar, Ronald G. Harley, Frank C. Lambert, Ganesh K. Venayagamoorthy Jan 2007

Neural Network Based Method For Predicting Nonlinear Load Harmonics, Joy Mazumdar, Ronald G. Harley, Frank C. Lambert, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

Generation of harmonics and the existence of waveform pollution in power system networks are important problems facing the power utilities. The increased use of nonlinear devices in industry has resulted in direct increase of harmonic distortion in the industrial power system in recent years. Interaction between loads and sources in a power distribution network is a complex process and often not possible to explain analytically without making assumptions. The determination of true harmonic current distortion of a load is further complicated by the fact that the supply voltage waveform at the point of common coupling (PCC) is rarely a pure …

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Online Reinforcement Learning Neural Network Controller Design For Nanomanipulation, Qinmin Yang, Jagannathan Sarangapani Jan 2007

Online Reinforcement Learning Neural Network Controller Design For Nanomanipulation, Qinmin Yang, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel reinforcement learning neural network (NN)-based controller, referred to adaptive critic controller, is proposed for affine nonlinear discrete-time systems with applications to nanomanipulation. In the online NN reinforcement learning method, one NN is designated as the critic NN, which approximates the long-term cost function by assuming that the states of the nonlinear systems is available for measurement. An action NN is employed to derive an optimal control signal to track a desired system trajectory while minimizing the cost function. Online updating weight tuning schemes for these two NNs are also derived. By using the Lyapunov approach, …

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Optimal Diversity Combining Based On Linear Estimation Of Rician Fading Channels, Jingxian Wu, Chengshan Xiao Jan 2007

Optimal Diversity Combining Based On Linear Estimation Of Rician Fading Channels, Jingxian Wu, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

Optimal receiver diversity combining employing linear channel estimation is examined. Based on the statistical properties of pilot-assisted least-squares (LS) and minimum mean square error (MMSE) channel estimation, an optimal diversity receiver for wireless systems employing practical linear channel estimation on Rician fading channels is proposed. Exact analytical expressions for the symbol error rates of LS and MMSE channel estimation aided optimal diversity combining are derived. It is shown that an MPSK wireless system with MMSE channel estimation has the same SER when the MMSE channel estimation is replaced by LS estimation. This is an interesting counter-example to the common perception …

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Robust Positively Invariant Cylinders In Constrained Variable Structure Control, Hanz Richter, Brian D. O'Dell, Eduardo A. Misawa Jan 2007

Robust Positively Invariant Cylinders In Constrained Variable Structure Control, Hanz Richter, Brian D. O'Dell, Eduardo A. Misawa

Mechanical Engineering Faculty Publications

This paper proposes the use of cylinders as primary invariant sets to be used in certain state-constrained control designs. Following the idea originally introduced by O'Dell, the primary invariant set is intersected with the state constraints to yield sets which retain the invariance under some conditions. Although several results presented here apply to fairly general nonlinear systems and primary invariant sets of any shape, the focus is on constrained sliding-mode control (SMC) using infinite cylinders as the primary invariant set. Their use is motivated by a coordinate transformation where the sliding motion is decoupled from the overall convergence to the …

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Modeling Failures Of Thermal Barrier Coatings, Anette M. Karlsson Jan 2007

Modeling Failures Of Thermal Barrier Coatings, Anette M. Karlsson

Mechanical Engineering Faculty Publications

Thermal barrier coatings are commonly used in high temperature parts of gas turbines, to protect the underlying metal substrate from deterioration during high temperature exposure. Unfortunately, the coatings fail prematurely, preventing the design engineers to fully utilize their implementation. Due to the complexity of the coatings, there are many challenges involved with developing failure hypotheses for the failures. This paper reviews some aspects of the current stateof- the-art on modeling failures of thermal barrier coatings, focusing on mechanics based models (such as finite element simulations) where the material physics is incorporated (such as oxidation and diffusion).

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Time-Economic Lifetime Assessment For High Performance Thermal Barrier Coating Systems, Marion Bartsch, Bernd Baufeld, S. Dalkilic, Iulian Mircea, K. Lambrinou, T. Leist, J. Yan, Anette M. Karlsson Jan 2007

Time-Economic Lifetime Assessment For High Performance Thermal Barrier Coating Systems, Marion Bartsch, Bernd Baufeld, S. Dalkilic, Iulian Mircea, K. Lambrinou, T. Leist, J. Yan, Anette M. Karlsson

Mechanical Engineering Faculty Publications

Strategies for time-economic lifetime assessment of thermal barrier coatings (TBC) in service are described and discussed on the basis of experimental results, achieved on material systems with coatings applied by electron beam physical vapour deposition. Service cycles for gas turbine blades have been simulated on specimens in thermo-mechanical fatigue tests, accelerating the fatigue processes by an increase of load frequency. Time dependent changes in the material system were imposed by a separate ageing, where the samples were pre-oxidized prior to the fatigue test. Results of thermo-mechanical fatigue tests on pre-aged and as-coated specimens gave evidence of interaction between fatigue and …

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Ceg 498-01: Design Experience, Thomas C. Hartrum Jan 2007

Ceg 498-01: Design Experience, Thomas C. Hartrum

Computer Science & Engineering Syllabi

CEG 498 (Design Experience) is a summative computer engineering design project course that builds upon previous engineering, science, mathematics and communications course work. CEG 498 projects are a minimum of two quarters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and are tailored to both student interest and formal classroom preparation. Students are evaluated both on their individual contributions as recorded in a graded engineering journals and on the quality of their collective efforts as reflected in group generated products.

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Cs 208-01: Computer Programming For Business I, Dennis Kellermeier Jan 2007

Cs 208-01: Computer Programming For Business I, Dennis Kellermeier

Computer Science & Engineering Syllabi

CS 208 is the first 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. This course assumes students have never written a program before.

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Cs 241-01: Introduction To Computer Science Ii, Mateen M. Rizki Jan 2007

Cs 241-01: Introduction To Computer Science Ii, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 142-01: Computer Programming Ii, Haiyun Bian Jan 2007

Cs 142-01: Computer Programming Ii, Haiyun Bian

Computer Science & Engineering Syllabi

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 exception handling. Student must register for both lecture and one lab section.

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Cs 141-01: Computer Programming - I, Michael Ondrasek Jan 2007

Cs 141-01: 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.

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Cs 205-01: Introduction To Computers And Office Productivity Software, Kim Gros Jan 2007

Cs 205-01: Introduction To Computers And Office Productivity Software, Kim Gros

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including word processing (intermediate), spreadsheet 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 209-01: Computer Programming For Business Ii, Dennis Kellermeier Jan 2007

Cs 209-01: 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 214-01: Visual Basic Programming, Michael Ondrasek Jan 2007

Cs 214-01: 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 language. 4 credit hours.

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Cs 241-01: Computer Science Ii, Eric Maston Jan 2007

Cs 241-01: Computer Science Ii, Eric Maston

Computer Science & Engineering Syllabi

This course is the second in the Introduction to Computer Science (24X) series. It focuses on object oriented concepts and an introduction to data structures.

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Cs 242-01: Computer Science Iii, Eric Maston Jan 2007

Cs 242-01: Computer Science Iii, Eric Maston

Computer Science & Engineering Syllabi

This is the third and final course in the Introduction to Computer Science series. This course focuses on data structures with abstract data types, such as trees, stacks, queues and tables.

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Cs 240-01: Introduction To Computer Science I, Dale E. Nelson Jan 2007

Cs 240-01: Introduction To Computer Science I, Dale E. Nelson

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 241-02, 03: Introduction To Computer Science Ii, Haiyun Bian Jan 2007

Cs 241-02, 03: Introduction To Computer Science Ii, Haiyun Bian

Computer Science & Engineering Syllabi

This course is the second in the three course sequence "Introduction to Computer Science" offered by the Computer Science department, WSU. Concepts introduced in CS 240 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, graphics, development of user interfaces and exception handling. Student must register for one lecture section and one lab section.

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Cs 400/600-01: Data Structures And Software Design, Michael L. Raymer Jan 2007

Cs 400/600-01: Data Structures And Software Design, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer Jan 2007

Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 415-01: Social Implications Of Computing, Leo Finkelstein Jan 2007

Cs 415-01: 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 701-01: Database Systems And Design, Soon M. Chung Jan 2007

Cs 701-01: Database Systems And Design, Soon M. Chung

Computer Science & Engineering Syllabi

Introduction of DB design concepts and operating principles of database systems.

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Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki Jan 2007

Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki

Computer Science & Engineering Syllabi

This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.

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Cs 790-02: Advanced Data Mining, Guozhu Dong Jan 2007

Cs 790-02: Advanced Data Mining, Guozhu Dong

Computer Science & Engineering Syllabi

In this course we will cover advanced topics in data mining. We will study some classic papers as well as some important recent papers, on different types of applications, in this fast evolving field. Topics include: sequence mining, text mining, graph mining, data warehouse/cube mining, micro-array gene expression mining, privacy w.r.t. data mining, sensor network mining, data stream mining, time series mining, web mining, etc. The aim is to prepare you for advanced data mining research and application development.

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Cs 781-01: Compiler Design And Construction Ii, Krishnaprasad Thirunarayan Jan 2007

Cs 781-01: Compiler Design And Construction Ii, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is a continuation ofCS780 covering the theory and practice of compiler design. Topics emphasized are semantic analysis, code generation, and optimization.

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Cs 302-01: Client Server Databases, Karen Meyer Jan 2007

Cs 302-01: Client Server Databases, Karen Meyer

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 790-01: Multimedia Coding And Communication (I), Yong Pei Jan 2007

Cs 790-01: Multimedia Coding And Communication (I), Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 317-01: Numerical Methods Ii, Ronald F. Taylor Jan 2007

Cs 317-01: Numerical Methods Ii, Ronald F. Taylor

Computer Science & Engineering Syllabi

Continuation of CS/MTH/316/516. Introduction to numerical methods used in the sciences. Methods for solving matrix eigenvalue problems, initial value and boundary value problem for ordinary differential equations (ODEs). Study of standard types of partial differential equations (PDEs) with applications. Solution techniques for systems of nonlinear equations. Discussion of sources of error in numerical methods. Special topics and applications presented as schedule permits. Four credit hours.

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