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Owl: Next generation system monitoring

Owl: Next generation system monitoring

引用

2005 Computing Frontiers Conference

作者： Schulz, Martin Lee, Hsien-Hsin S. White, Brian S. McKee, Sally A. Jeitner, Jürgen Center for Applied Scientific Computing Lawrence Livermore National Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Computer Systems Lab. Cornell University Department of Informatics Technische Universität München

ISBN: (纸本)1595930183

As microarchitectural and system complexity grows, comprehending system behavior becomes increasingly difficult, and often requires obtaining and sifting through voluminous event traces or coordinating results from multiple, non-localized sources. Owl is a proposed framework that overcomes limitations faced by traditional performance counters and monitoring facilities in dealing with such complexity by pervasively deploying programmable monitoring elements throughout a system. The design exploits reconfigurable or programmable logic to realize hardware monitors located at event sources, such as memory buses. These monitors run and writeback results autonomously with respect to the CPU, mitigating the system impact of interrupt-driven monitoring or the need to communicate irrelevant events to higher levels of the system. The monitors are designed to snoop any kind of system transaction, e.g., within the core, on a bus, across the wire, or within I/O devices. Copyright 2005 ACM.

关键词： Monitoring

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Modeling layout effects for sensitivity-based analog circuit optimization

Modeling layout effects for sensitivity-based analog circuit...

引用

IEEE International Symposium on Quality Electronic Design

作者： H.H.Y. Chan Z. Zilic Department of Computer and Electrical Engineering Microelectronics and Computer Systems Laboratory Montreal QUE Canada

Successful deep-submicron designs require significant computation resources for thorough signal and design integrity analysis. Rising quality expectations and shortening time-to-market requirements present additional challenges for design closure. Conventional analog circuit optimizers are efficient in circuit analysis and optimization. Due to recent promising results, designers are beginning to adopt automated physical synthesis in their condensed development cycles in order to improve their prototyping efficiency. For high-performance circuit optimization, idealized performance as well as parasitic data should also be considered. This paper presents an effective framework to incorporate parasitic effects into a sensitivity-based circuit optimization tool. To relieve the physical synthesis bottleneck, estimations of parasitic values based on past extraction results are made during incremental design changes. Sensitivities of the performance impact can then be computed efficiently. As a result physical performance can be optimized using available optimizer and synthesis tools without the need of a priori expert rules, knowledge or cell libraries.

关键词： Analog circuits Circuit synthesis Signal design Circuit optimization Signal analysis Time to market Circuit analysis Signal synthesis Prototypes Data mining

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A comparison of PSO and backpropagation for training RBF neural networks for identification of a power system with statcom

A comparison of PSO and backpropagation for training RBF neu...

引用

2005 IEEE Swarm Intelligence Symposium, SIS 2005

作者： Mohaghegi, Salman Del Valle, Yamille Venayagamoorthy, Ganesh K. Harley, Ronald G. School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409-0249 United States University of KwaZulu Natal South Africa

ISBN: (纸本)0780389166

Backpropagation algorithm is the most commonly used algorithm for training artificial neural networks. While being a straightforward procedure, it suffers from extensive computations, relatively slow convergence speed and possible divergence for certain conditions. The efficiency of this method as the training algorithm of a Radial Basis Function Neural Network (RBFN) is compared with that of Particle Swarm Optimization, for neural network based identification of a small power system with a Static Compensator. The comparison of the two methods is based on the convergence speed and robustness of each method. © 2005 IEEE.

关键词： Radial basis function networks

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Adaptive left ventricular ejection time estimation using multiple peripheral pressure waveforms

Adaptive left ventricular ejection time estimation using mul...

引用

2005 27th Annual International Conference of the engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Hahn, Jin-Oh McCombie, Devin Reisner, Andrew Harry Asada, H. Hojman, Horacio Mukkamala, Ramakrishna D'Arbeloff Laboratory for Information Systems and Technology Massachusetts Institute of Technology Emergency Department Massachusetts General Hospital Department of Surgery Yale University Department of Electrical and Computer Engineering Michigan State University

ISBN: (纸本)0780387406

An adaptive approach is proposed for the problem of left ventricular ejection time (LVET) estimation using peripheral pressure waveform signals. The proposed algorithm, which makes use of 2 peripheral pressure measurements, makes it possible to adaptively estimate the LVET in response to different cardiovascular physiologic states. The algorithm builds on features obtained from global and branch-specific characterization of the cardiovascular circulation as well as waveform features to dramatically improve the accuracy of LVET estimation. The performance of the proposed approach is evaluated with respect to its heart-rate-based conventional counterpart, which shows approximately 40% improvement of estimation accuracy in terms of R2 values - from 0.6655 for the conventional waveform-based approach to 0.9222 for the proposed approach. © 2005 IEEE.

关键词： Biomedical engineering

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An adaptive mamdani fuzzy logic based controller for a static compensator in a multimachine power system

An adaptive mamdani fuzzy logic based controller for a stati...

引用

13th International Conference on Intelligent systems Application to Power systems, ISAP'05

作者： Mohagheghi, S. Venayagamoorthy, G.K. Harley, R.G. IEEE School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri-Rolla MO 65409-0249 United States University of KwaZulu-Natal South Africa

ISBN: (纸本)1599750287

An adaptive Mamdani based fuzzy logic controller has been designed for controlling a Static Compensator (STATCOM) in a multimachine power system. Such a controller does not need any prior knowledge of the plant to be controlled and can efficiently control a STATCOM during different disturbances in the network. A model free approach using the controller output error is applied for training purposes that adaptively changes the controller output parameters based on a gradient descent method. Moreover, shrinking span membership functions are used for a more stable and accurate control performance. Simulation results show that the proposed controller outperforms the conventional PI controller during dynamic and transient disturbances. © 2005 ISAP.

关键词： Programmable logic controllers

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Real-time dual heuristic program-ming-based neurocontroller for a turbogenerator in a multimachine power system

Real-time dual heuristic program-ming-based neurocontroller ...

引用

作者： Venayagamoorthy, Ganesh K. Harle, Ronald G. Wunsch, Donald C. Real-Time Power and Intelligent Systems Laboratory University of Missouri Rolla MO 65409 United States Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409 United States School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States

Based on Dual Heuristic Programming (DHP), a real-time implementation of a neurocontroller for excitation and turbine control of a turbogenerator in a multimachine power system is presented. The feedback variables are completely based on local measurements. Simulation and real-time hardware implementation on a three-machine system demonstrate that the DHP neurocontroller is much more effective than conventional PID controllers, the automatic voltage regulator, power system stabilizer and the governor, for improving dynamic performance and stability under small and large disturbances. © 2005 CRL Publishing Ltd.

关键词： Heuristic programming

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A dynamic recurrent neural network for wide area identification of a multimachine power system with a FACTS device

A dynamic recurrent neural network for wide area identificat...

引用

13th International Conference on Intelligent systems Application to Power systems, ISAP'05

作者： Mohagheghi, S. Venayagamoorthy, G.K. Harley, R.G. IEEE School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409-0249 United States University of KwaZulu-Natal South Africa

ISBN: (纸本)1599750287

Multilayer perceptron and radial basis function neural networks have been traditionally used for plant identification in power systems applications of neural networks. While being efficient in tracking the plant dynamics in a relatively small system, their performance degrades as the dimensions of the plant to be identified are increased, for example in supervisory level identification of a multimachine power system for Wide Area Control purposes. Recurrent neural networks can deal with such a problem by modeling the system as a set of differential equations and with less order of complexity. Such a recurrent neural network identifier is designed and implemented for supervisory level identification of a multimachine power system with a FACTS device. Simulation results are provided to show that the neuroidentifier can track the system dynamics with sufficient accuracy. © 2005 ISAP.

关键词： Electric power systems

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Moving cast shadow detection from a Gaussian mixture shadow model

Moving cast shadow detection from a Gaussian mixture shadow ...

引用

Conference on computer Vision and Pattern Recognition (CVPR)

作者： N. Martel-Brisson A. Zaccarin Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering Laval University QUE Canada

Moving cast shadows are a major concern for foreground detection algorithms. Processing of foreground images in surveillance applications typically requires that such shadows have been identified and removed from the detected foreground. This paper presents a novel pixel-based statistical approach to model moving cast shadows of non-uniform and varying intensity. This approach uses the Gaussian mixture model (GMM) learning ability to build statistical models describing moving cast shadows on surfaces. This statistical modeling can deal with scenes with complex and time-varying illumination, and prevent false detection in regions where shadows cannot be detected. Gaussian mixture shadow models (GMSM) are automatically constructed and updated over time, are easily added to GMM architecture for foreground detection, and require only a small number of parameters. Results obtained with different scene types show the robustness of the approach.

关键词： Layout Lighting Brightness Detection algorithms Surveillance Robustness Image segmentation Solid modeling Geometry computer vision

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Optical satellite networks

Optical satellite networks

引用

Optical Fiber Communication (OFC) Conference

作者： V.W.S. Chan Department of Electrical Engineering & Computer Science Laboratory for Information and Decision Systems

With high-speed space optical crosslinks, an optical satellite network as part of a larger integrated space-terrestrial network is now feasible. This radical technology building block can have profound transforming ef... 详细信息

ISBN: (纸本)1557527849

关键词： Optical fiber networks Satellites Space technology High speed optical techniques Optical sensors Optical network units Integrated optics computer architecture Space exploration Optical fiber communication

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Handling missing values via decomposition of the conditioned set

Handling missing values via decomposition of the conditioned...

引用

2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005

作者： Shyu, Mei-Ling Kuruppu-Appuhamilage, Indika Priyantha Chen, Shu-Ching Chang, Li Wu Department of Electrical and Computer Engineering University of Miami Coral Gables FL 33124 United States Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL 33199 United States Center for High Assurance Computer Systems Naval Research Laboratory Washington DC 20375 United States

ISBN: (纸本)0780390938

In this paper, a framework for replacing missing values in a database is proposed since a real-world database is seldom complete. Good data quality in a database can directly improve the performance of any data mining algorithm in various applications. Our proposed framework adopts the basic concepts from conditional probability theories and further develops an algorithm to facilitate the capability of handling both nominal and numerical values, which addresses the problem of the inability of handling both nominal and numerical values with a high degree of accuracy in the existing algorithms. Several experiments are conducted and the experimental results demonstrate that our framework provides a high accuracy when compared with most of the commonly used algorithms such as using the average value, using the maximum value, and using the minimum value to replace missing values. © 2005 IEEE.

关键词： Data handling

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