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Articles 1531 - 1560 of 1947
Full-Text Articles in Computer Sciences
Fact Or Fiction?, Allison Marsh
Fact Or Fiction?, Allison Marsh
Section 5: Imaging at the Nano Scale
No abstract provided.
Spotlight On Usc: Department Of Art, Allison Marsh
Spotlight On Usc: Department Of Art, Allison Marsh
Section 5: Imaging at the Nano Scale
No abstract provided.
Usc's Nanocenter, Allison Marsh
Usc's Nanocenter, Allison Marsh
Section 5: Imaging at the Nano Scale
No abstract provided.
Art Versus Image, Allison Marsh
Art Versus Image, Allison Marsh
Section 5: Imaging at the Nano Scale
No abstract provided.
Nano Imaging, Allison Marsh
Nano Imaging, Allison Marsh
Section 5: Imaging at the Nano Scale
No abstract provided.
What Is Nanotechnology?, Allison Marsh
What Is Nanotechnology?, Allison Marsh
Section 5: Imaging at the Nano Scale
No abstract provided.
Nanotechnology In Everyday Life, Allison Marsh
Nanotechnology In Everyday Life, Allison Marsh
Section 5: Imaging at the Nano Scale
No abstract provided.
Choosing An Instrument, Allison Marsh
Choosing An Instrument, Allison Marsh
Section 5: Imaging at the Nano Scale
No abstract provided.
Conclusion Panel, Allison Marsh
A Self-Tuning Optimal Controller For Affine Nonlinear Continuous-Time Systems With Unknown Internal Dynamics, Travis Dierks, Sarangapani Jagannathan
A Self-Tuning Optimal Controller For Affine Nonlinear Continuous-Time Systems With Unknown Internal Dynamics, Travis Dierks, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a novel neural network (NN) - based self-tuning controller for the optimal regulation of affine nonlinear continuous-time systems. Knowledge of the internal system dynamics is not required whereas the control coefficient matrix is considered to be available. the proposed nonlinear optimal regulator tunes itself in order to simultaneously learn the optimal control input, optimal cost function, and the system internal dynamics using a single NN. a novel NN weight tuning algorithm is derived which ensures the internal system dynamics are learned while simultaneously minimizing a predefined cost function. an initial stabilizing controller is not required. Lyapunov methods …
Optimal Adaptive Controller Scheme For Uncertain Quantized Linear Discrete-Time System, Qiming Zhao, Hao Xu, S. Jagannathan
Optimal Adaptive Controller Scheme For Uncertain Quantized Linear Discrete-Time System, Qiming Zhao, Hao Xu, S. Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, the Bellman equation is used to solve the optimal adaptive control of quantized linear discrete-time system with unknown dynamics. to mitigate the effect of the quantization errors, the dynamics of the quantization error bound and an update law for tuning the range of the dynamic quantizer are derived. Subsequently, by using adaptive dynamic programming technique, the infinite horizon optimal regulation problem of the uncertain quantized linear discrete-time system is solved in a forward-in-time manner without using value and/or policy iterations. the asymptotic stability of the closed-loop system is verified by standard Lyapunov stability approach in the presence …
State And Output Feedback-Based Adaptive Optimal Control Of Nonlinear Continuous-Time Systems In Strict Feedback Form, H. Zargarzadeh, T. Dierks, S. Jagannathan
State And Output Feedback-Based Adaptive Optimal Control Of Nonlinear Continuous-Time Systems In Strict Feedback Form, H. Zargarzadeh, T. Dierks, S. Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
This paper focuses on neural network (NN) based adaptive optimal control of nonlinear continuous-time systems in strict feedback form with known dynamics. a single NN is utilized to learn the infinite horizon cost function which is the solution to the Hamilton-Jacobi-Bellman (HJB) equation in continuous-time. the corresponding optimal control input that minimizes the HJB equation is calculated in a forward-in-time manner without using value and policy iterations. First, the optimal control problem is solved in a generic multi-input and multi output (MIMO) nonlinear system in strict feedback form with a state feedback approach. Then, the approach is extended to single …
Manufacturing Process Modeling And Application To Intelligent Control, M. Laine Mears, Parikshit Mehta, Mathew Kuttolamadom, Carlos Montes, Joshua Jones, Wesley Salandro, Drew Werner
Manufacturing Process Modeling And Application To Intelligent Control, M. Laine Mears, Parikshit Mehta, Mathew Kuttolamadom, Carlos Montes, Joshua Jones, Wesley Salandro, Drew Werner
Journal of the South Carolina Academy of Science
No abstract provided.
Ceg 210: Pc Networking I, Jerry Hensley
Ceg 210: Pc Networking I, Jerry Hensley
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: Introduction To C Programming For Engineers, Jay Dejongh
Ceg 220: 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.
Cs 240-01: Computer Programming I, Vaibhav Tendulkar
Cs 240-01: Computer Programming I, Vaibhav Tendulkar
Computer Science & Engineering Syllabi
No abstract provided.
Cs 242-01: Computer Programming Iii, Mateen M. Rizki
Cs 242-01: Computer Programming Iii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 240-01: Computer Programming I, Vanessa Starkey
Cs 240-01: Computer Programming I, Vanessa Starkey
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.
Cs 399-01: Introduction To Scientific Visualization, Thomas Wischgoll
Cs 399-01: Introduction To Scientific Visualization, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will be familiar with techniques used for visualizing various types of data sets, such as medical, vector or general data sets. This includes appropriate visualization methods for geometric, volumetric, and higher dimensional data sets (e.g. vector or tensor data). In addition, you will learn about user modalities, including different input devices and display types for more advanced visualizations.
Cs 141-01: Computer Programming I, Vanessa Starkey
Cs 141-01: Computer Programming I, Vanessa Starkey
Computer Science & Engineering Syllabi
Introduction to use of computers as a problem-solving tool. Examples from and applications to a broad range of problems. Methodology for algorithm design and for structured modular implementation is stressed. Three hours lecture, two hours lab.
Cs 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog
Cs 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog
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 205-01: Introduction To Computers And Office Productivity Software 2010, Amanda Hood
Cs 205-01: Introduction To Computers And Office Productivity Software 2010, Amanda Hood
Computer Science & Engineering Syllabi
Focus on learning MS Office 2010 software applications including word processing (intermediate), spreadsheets, databases, 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 240-01: Computer Programming - I, Michael Ondrasek
Cs 240-01: 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 241-04: Computer Programming - Ii, Jay Dejongh
Cs 241-04: Computer Programming - Ii, Jay Dejongh
Computer Science & Engineering Syllabi
The CS 241 course is a continuation of CS 240. The emphasis in CS 241 is on solving more complex problems using object oriented programming. Prerequisite: CS240. Students must register for both lecture and one laboratory section. 4 credit hours.
Cs 400/600-01: Data Structures And Software Design, Meilin Liu
Cs 400/600-01: 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 399-01: Ios Programming I, Erik Marlow Buck
Cs 399-01: Ios Programming I, Erik Marlow Buck
Computer Science & Engineering Syllabi
The iOS programming I class focuses on projects to progressively demonstrate concepts and practical approaches for embedded application development. Projects use Mac OS X computers and iOS simulators. University owned iPads are available for project demonstrations. Students are encouraged to join Apple's iOS developer program, deploy project applications to their personal devices, and sell applications through Apple's App Store.
Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer
Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 205-01: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 205-01: 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 415-01: Social Implications Of Computing, Leo Finkelstein
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 yon will be responsible for using concepts and theories provided in class lectures and discussions.
Cs 701-01: Database Systems And Design, Soon M. Chung
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.