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Articles 12121 - 12150 of 13561
Full-Text Articles in Computer Engineering
Cian: A Language And Middleware For Collaboration In Ad Hoc Networks, Rohan Sen, Gruia-Catalin Roman, Andrew Frank
Cian: A Language And Middleware For Collaboration In Ad Hoc Networks, Rohan Sen, Gruia-Catalin Roman, Andrew Frank
All Computer Science and Engineering Research
Designing software that supports collaboration among multiple users in mobile ad hoc networks is challenging due to the dynamic network topology and inherent unpredictability of the environment. However, as we increasingly migrate to using mobile computing platforms, there is a pertinent need for software that can support a wide range of collaborative activities anywhere and at any time without relying on any external infrastructure. In this paper, we adopt the workflow model to represent the structure of an activity that involves multiple tasks being performed in a structured, collaborative fashion by multiple users. Using the workflow model as a base, …
Virtualization For A Network Processor Runtime System, Brandon Heller, Jonathan Turner, John Dehart, Patrick Crowley
Virtualization For A Network Processor Runtime System, Brandon Heller, Jonathan Turner, John Dehart, Patrick Crowley
All Computer Science and Engineering Research
The continuing ossification of the Internet is slowing the pace of network innovation. Network diversification presents one solution to this problem, by virtualizing the network at multiple layers. Diversified networks consist of a shared physical substrate, virtual routers (metarouters), and virtual links (metalinks). Virtualizing routers enables smooth and incremental upgrades to new network services. Our current priority for a diversified router prototype is to enable reserved slices of the network for researchers to perform repeatable, high-speed network experiments. General-purpose processors have well established techniques for virtualization, but do not scale efficiently to multi-gigabit speeds. To achieve these speeds, we employ …
Auto-Pipe And The X Language: A Toolset And Language For The Simulation, Analysis, And Synthesis Of Heterogeneous Pipelined Architectures, Master's Thesis, August 2006, Eric J. Tyson
All Computer Science and Engineering Research
Pipelining an algorithmis a popularmethod of increasing the performance of many computation-intensive applications. Often, one wants to form pipelines composed mostly of commonly used simple building blocks such as DSP components, simple math operations, encryption, or pattern matching stages. Additionally, one may desire to map these processing tasks to different computational resources based on their relative performance attributes (e.g., DSP operations on an FPGA). Auto-Pipe is composed of the X Language, a flexible interface language that aids the description of complex dataflow topologies (including pipelines); X-Com, a compiler for the X Language; X-Sim, a tool for modeling pipelined architectures based …
Ceg 490/690-01: Technology-Based Ventures, Forouzan Golshani, S. Narayanan
Ceg 490/690-01: Technology-Based Ventures, Forouzan Golshani, S. Narayanan
Computer Science & Engineering Syllabi
No abstract provided.
Cs 205-04,05,06: Computer Literacy And Office Automation, Terri Bauer
Cs 205-04,05,06: Computer Literacy And Office Automation, Terri Bauer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 340-01: Programming Language Workshop In Java, Ronald F. Taylor
Cs 340-01: Programming Language Workshop In Java, Ronald F. Taylor
Computer Science & Engineering Syllabi
This course is designed as a self-study in Java. You are expected to work independently to learn the Java language and solve a set of programming problems assigned to you using latest Java SDK available at http://java.sun.com or other software as approved by the instructor. There are no exams. We officially meet only once in a quarter. However, I will be available in the posted office hours for clarifications and general discussion of the programming assignments. Do not expect support in debugging badly documented code.
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 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp
Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp
Computer Science & Engineering Syllabi
No abstract provided.
Cs 790-01: Introduction To Parallel Algorithms, Natsuhiko Futamura
Cs 790-01: Introduction To Parallel Algorithms, Natsuhiko Futamura
Computer Science & Engineering Syllabi
Low-cost parallel computers such as PC clusters are becoming available, and many previously unsolvable problems can be solved using such computers. However, designing algorithms that perform well on parallel computers is often challenging. The focus of this course is on learning how to design algorithms for parallel computers and how to evaluate them.
Cs 142-01: Computer Programming Ii, Eric Maston
Cs 142-01: Computer Programming Ii, Eric Maston
Computer Science & Engineering Syllabi
This course provides a continuation to the general introduction of computer programming begun in CS 141. Examples from and applications to a broad range of problems are given. The concepts covered will be applied to the Java programming language. (Students must register for both lecture and one laboratory section.)
Cs 240-01: Introduction To Computer Science I, L. Jane Lin
Cs 240-01: Introduction To Computer Science I, L. Jane Lin
Computer Science & Engineering Syllabi
This course is the first in the three course sequence "Introduction to Computer Science" offered by the Computer Science department at WSU. This course presents a general introduction to C++ programming language. It introduces the fundamental capabilities of C++ language as a problem solving tool. Topics include data representation, debugging and program verification.
Cs 242-01: Introduction To Computer Science Iii, Eric Maston
Cs 242-01: Introduction To 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.
Cs 302-01: Client Server Databases, Karen Meyer
Cs 302-01: Client Server Databases, Karen Meyer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241-01: Computer Science Ii, Mateen M. Rizki
Cs 241-01: Computer Science Ii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 701-01: Database Systems And Design, Kenneth Melendez
Cs 701-01: Database Systems And Design, Kenneth Melendez
Computer Science & Engineering Syllabi
No abstract provided.
Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki
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.
Cs 317-01: Numerical Methods For Digital Computers - Ii, Ronald F. Taylor
Cs 317-01: Numerical Methods For Digital Computers - Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
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 courses of errors in numerical methods. Special topics and applications presented as schedule permits. 4 credit hours. Prerequisites: CS 316, MTH 233, 253, or 355. Programming course prerequisites: EGR 153 or CEG 220 or CS 241.
Cs 884-01: Advanced Topics In Programming Languages, Krishnaprasad Thirunarayan
Cs 884-01: Advanced Topics In Programming Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
The primary focus of this course is the design and specification of the Object-Oriented language Java.
Cs 208-01: Computer Programming For Business I, Dennis Kellermeier
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.
Cs 400/600-01: Data Structures And Software Design, Michael L. Raymer
Cs 400/600-01: Data Structures And Software Design, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241-01: Introduction To Computer Science Ii, Praveen Kakumanu
Cs 241-01: Introduction To Computer Science Ii, Praveen Kakumanu
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. It focuses on tools for building abstract data types (using structure and class concepts in C++) and Object-Oriented Programming. We also begin the study of data structures in this course.
Ceg 333: Introduction To Unix, Todd Rovito
Ceg 333: Introduction To Unix, Todd Rovito
Computer Science & Engineering Syllabi
Introduction to the use of UNIX and UNIX tools as a problem-solving environment. Emphasis on the shell, files and directories, editing files, user process management, compiling, and debugging. Prerequisite: CS 241.
Ceg 433/633-01: Operating Systems, Prabhaker Mateti
Ceg 433/633-01: Operating Systems, Prabhaker Mateti
Computer Science & Engineering Syllabi
The management of resources in multi-user computer systems. Emphasis is on problems of file-system design, process scheduling, memory allocation, protection, and tools needed for solutions. Course projects use the C/C++ language and include the design of portions of an operating system. 4 credit hours.
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 360/560-01: Digital System Design, Travis E. Doom
Ceg 360/560-01: Digital System Design, Travis E. Doom
Computer Science & Engineering Syllabi
Design of digital systems. Topics include flip-flops, registers, counters, programmable logic devices, memory devices, register-level design, and microcomputer system organization.
Ceg 411/611-01: Microprocessor-Based System Design, Jack Jean
Ceg 411/611-01: Microprocessor-Based System Design, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 434/634-01: Concurrent Software Design, Natsuhiko Futamura
Ceg 434/634-01: Concurrent Software Design, Natsuhiko Futamura
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 435/635-01: Distributed Computing And Systems, Yong Pei
Ceg 435/635-01: Distributed Computing And Systems, Yong Pei
Computer Science & Engineering Syllabi
Study of process coordination, client-server computing, network and distributed operating systems, network and distributed file systems, concurrency control, recovery of distributed transactions, and fault-tolerant computing.
Ceg 725-01: Computer Vision Ii, Arthur A. Goshtasby
Ceg 725-01: Computer Vision Ii, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
No abstract provided.