The Centre for Advanced Studies (CAS) is an applied research centre formed in 1990 within the IBM Toronto software Solutions Laboratory. Its primary aim is to facilitate the transfer of research ideas into the various...
The Centre for Advanced Studies (CAS) is an applied research centre formed in 1990 within the IBM Toronto software Solutions Laboratory. Its primary aim is to facilitate the transfer of research ideas into the various product groups of the laboratory. Although we are still learning how to make CAS operate more effectively, and it is too early to assess its long-term success, the model for CAS has proved to be workable. The primary partners, namely the IBM Toronto software Solutions Laboratory, the IBM research community, universities in North America, and government agencies that support collaborative research, have found it a viable approach. As an overview, this essay provides some background to the formation of the centre, describes some of the challenges deemed important in defining the role of the centre, identifies a number of principles that are used to guide its formation and current operation, and reports on its progress. We conclude with a discussion of some lessons learned in the operation of the centre to date and identify future activities and directions for the centre.
Recently the RBF network has been successfully applied to a number of communication signal processing problems, including equalization and co-channel interference rejection. Determining the number and locations of the...
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Recently the RBF network has been successfully applied to a number of communication signal processing problems, including equalization and co-channel interference rejection. Determining the number and locations of the centers is an important but usually neglected issue. A growing RBF algorithm for determining the number and location of the centers is presented and the performance is compared to a RBF with prescribed centers. The growing algorithm's advantages are its limited need for prior information and its ability to better utilize the allocated centers. As an example, the growing algorithm reduced the number of centers by more than a factor of 2/sup 31/ over the prescribed method to achieve a desired performance for an equalization and interference rejection application.< >
The concept of a simulation environment combines different aspects of the simulation process into one complete powerful tool. The environment should provide the necessary state-of-the-art advances and concepts that a ...
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ISBN:
(纸本)9780780321090
The concept of a simulation environment combines different aspects of the simulation process into one complete powerful tool. The environment should provide the necessary state-of-the-art advances and concepts that a modeler may require during the simulation development and execution process. The "environment" requirements must address the end user needs while minimizing the necessity of learning a new language. The requirements must specify the useful features, independent of different platforms and implementation languages. Hence the opportunity exists for standardization of environments. The paper opens a discussion on challenges and rewards awaiting the simulation community with the advent of a standard environment.
Classical signal processing functions such as spectrum analysis, correlation, convolution, filtering, mixing, and noise reduction can be performed optically using optical signal processing devices and systems. The sig...
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Classical signal processing functions such as spectrum analysis, correlation, convolution, filtering, mixing, and noise reduction can be performed optically using optical signal processing devices and systems. The signal media, i.e., light waves, not only have a higher information-carrying capacity than electrical wires, but may pass through each other without interference, thus providing an increased interconnection capacity. This property facilitates improved communication and ease of reconfiguration between processing elements in highly parallel optical computing architectures.1
When analysing hard real-time systems for their performance properties, most scheduling models either ignore the timing characteristics of the underlying run-time support kernel entirely or have a very simple model of...
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The results of a measurement study of the T1 NSFNET backbone are presented. The measurement environment and the approach to data collection are discussed. Measurements results are then presented for: long-term growth ...
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The results of a measurement study of the T1 NSFNET backbone are presented. The measurement environment and the approach to data collection are discussed. Measurements results are then presented for: long-term growth in traffic volume, including attribution to domains and protocols; trends in average packet size on the network, over both long- and medium-term intervals; most popular sources, destinations, and site pairs; traffic locality; international distribution of traffic; mean utilization statistics of the overall backbone as well as of specific links of interest: and delay statistics.< >
As technology advances and our dependency on software increases, the requirement to develop the correct means to improve quality in both the deveiopment phase and the maintenance phase of software life cycle support b...
As technology advances and our dependency on software increases, the requirement to develop the correct means to improve quality in both the deveiopment phase and the maintenance phase of software life cycle support becomes increasingly significant. The focus of this paper is on the dilemma facing softwareengineering in maintaining quality within the constraints of the maintenance phase. The paper further proposes that the software maintenance process can also be analvzed and improved using statistical process control (SPC) techniques. The methods discussed in this paper have been proposed for use in the software Maintenance project at NUWC Detachment Norfolk. Upon successful testing at NUWC Detachment Norfolk, they will be forwarded to the AN/SQQ-89(V) (interagencv) software Quality Evaluation Committee for use by other agencies which are developing and maintaining AN/SQQ-89(V) software.
作者:
Djukanovic, M.B.Sobajic, D.J.Pao, Y.‐H.Miodrag B. Djukanovic (1959) received his B.S.
M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Belgrade/Yugoslavia in 1982 1985 and 1992 respectively specializing in electric power systems. In 1984 he joined the Electrical Engineering Institute “Nikola Tesla” in Belgrade where he was working on the scientific studies in the field of power systems planning operation and control. In 1985 and 1990 he was appointed as a research scholar at the Royal Institute of Technology Stockholm and Case Western Reserve University Cleveland Ohio. His major in- terests are in the area of power system analysis steady-state and dynamic security and application of neural networks in electric power systems. (Electrical Engineering Institute “Nicola Tesla” ul. Koste Glavinica 8A YU-11000 Belgrad T +3811/2351-619 Fax + 3811/2351-823) Dejan J. Sobajic (1949) received the B.S.E.E. and the M.S.E.E. degrees from the University of Belgrade/Yugoslavia in 1972 and 1976
respectively and the Ph.D. degree from Case Western Reserve University Cleveland Ohio in 1988. At present he is with the Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland. He is also the Engineering Manager of A1 WARE Inc. Cleveland. His current research interests include power system operation and control neuralnet systems and adaptive control. He is a member of the IEEE Task Force on Neural-Network Applications in Power Systems and of the IEEE Intelligent Controls Committee. He is the Chairman of the International Neural-Networks Society Special Interest Group on Power Engineering. (Case Western Reserve University Department of Electrial Engineering and Computer Sciences Glennan Building Ohio 44 106 USA T + 1216/421-2380 Fax +1216/368-8776) Yoh-Han Pao (1922) has been a Professor of Electrical Engineering and Computer Science at Case Westem Reserve University (CWRU)
Cleveland Ohio since 1967. He has served as chairman of the University's Electrical Engineering Department
The Transient Energy Function (TEF) method has been intensely investigated over the last decade as a reliable and accurate tool for transient stability assessment of multimachine power systems. In this paper we propos...
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