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Snort - Lightweight Intrusion Detection for Networks

by Martin Roesch, Stanford Telecommunications , 1999
"... Permission is granted for noncommercial reproduction of the work for educational or research purposes. ..."
Abstract - Cited by 1109 (1 self) - Add to MetaCart
Permission is granted for noncommercial reproduction of the work for educational or research purposes.

A survey on routing protocols for wireless sensor networks

by Hemal Akkaya, Mohamed Younis , 2004
"... ..."
Abstract - Cited by 710 (5 self) - Add to MetaCart
Abstract not found

The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems

by Brian P. Gerkey, Richard T. Vaughan, Andrew Howard - In Proceedings of the 11th International Conference on Advanced Robotics , 2003
"... This paper describes the Player/Stage software tools applied to multi-robot, distributed-robot and sensor network systems. Player is a robot device server that provides network transparent robot control. Player seeks to constrain controller design as little as possible; it is device independent, non ..."
Abstract - Cited by 617 (14 self) - Add to MetaCart
This paper describes the Player/Stage software tools applied to multi-robot, distributed-robot and sensor network systems. Player is a robot device server that provides network transparent robot control. Player seeks to constrain controller design as little as possible; it is device independent

Executive Compensation

by Kevin J. Murphy , 1999
"... This paper summarizes the empirical and theoretical research on executive compensation and provides a comprehensive and up-to-date description of pay practices (and trends in pay practices) for chief executive officers (CEOs). Topics discussed include the level and structure of CEO pay (including de ..."
Abstract - Cited by 603 (19 self) - Add to MetaCart
detailed analyses of annual bonus plans, executive stock options, and option valuation), international pay differences, the pay-setting process, the relation between CEO pay and firm performance (“pay-performance sensitivities”), the relation between sensitivities and subsequent firm performance, relative

Monitoring the future: National survey results on drug use

by Lloyd D. Johnston, Ph. D, Patrick M. O’malley, Ph. D, Jerald G. Bachman, Ph. D, John E. Schulenberg, Ph. D - I: Secondary school students (NIH Publication No. 05-5726). Bethesda, MD: National Institute on Drug Abuse , 2005
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Abstract - Cited by 502 (21 self) - Add to MetaCart
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Assigned Numbers

by J. Reynolds, J. Postel - STD 2, RFC 1700, USC/Information Sciences Institute , 1994
"... Status of this Memo ..."
Abstract - Cited by 515 (23 self) - Add to MetaCart
Status of this Memo

Reversible Markov chains and random walks on graphs

by David Aldous, James Allen Fill , 2002
"... ..."
Abstract - Cited by 549 (13 self) - Add to MetaCart
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A Compositional Approach to Performance Modelling

by Jane Hillston , 1996
"... Performance modelling is concerned with the capture and analysis of the dynamic behaviour of computer and communication systems. The size and complexity of many modern systems result in large, complex models. A compositional approach decomposes the system into subsystems that are smaller and more ea ..."
Abstract - Cited by 746 (102 self) - Add to MetaCart
Performance modelling is concerned with the capture and analysis of the dynamic behaviour of computer and communication systems. The size and complexity of many modern systems result in large, complex models. A compositional approach decomposes the system into subsystems that are smaller and more easily modelled. In this thesis a novel compositional approach to performance modelling is presented. This approach is based on a suitably enhanced process algebra, PEPA (Performance Evaluation Process Algebra). The compositional nature of the language provides benefits for model solution as well as model construction. An operational semantics is provided for PEPA and its use to generate an underlying Markov process for any PEPA model is explained and demonstrated. Model simplification and state space aggregation have been proposed as means to tackle the problems of large performance models. These techniques are presented in terms of notions of equivalence between modelling entities. A framewo...

The Elements of Statistical Learning -- Data Mining, Inference, and Prediction

by Trevor Hastie, Robert Tibshirani, Jerome Friedman
"... ..."
Abstract - Cited by 1320 (13 self) - Add to MetaCart
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SIS: A System for Sequential Circuit Synthesis

by Ellen M. Sentovich, Kanwar Jit Singh, Luciano Lavagno, Cho Moon, Rajeev Murgai, Alexander Saldanha, Hamid Savoj, Paul R. Stephan, Robert K. Brayton, Alberto Sangiovanni-Vincentelli , 1992
"... SIS is an interactive tool for synthesis and optimization of sequential circuits. Given a state transition table, a signal transition graph, or a logic-level description of a sequential circuit, it produces an optimized net-list in the target technology while preserving the sequential input-output b ..."
Abstract - Cited by 514 (41 self) - Add to MetaCart
SIS is an interactive tool for synthesis and optimization of sequential circuits. Given a state transition table, a signal transition graph, or a logic-level description of a sequential circuit, it produces an optimized net-list in the target technology while preserving the sequential input-output behavior. Many different programs and algorithms have been integrated into SIS, allowing the user to choose among a variety of techniques at each stage of the process. It is built on top of MISII [5] and includes all (combinational) optimization techniques therein as well as many enhancements. SIS serves as both a framework within which various algorithms can be tested and compared, and as a tool for automatic synthesis and optimization of sequential circuits. This paper provides an overview of SIS. The first part contains descriptions of the input specification, STG (state transition graph) manipulation, new logic optimization and verification algorithms, ASTG (asynchronous signal transition graph) manipulation, and synthesis for PGA’s (programmable gate arrays). The second part contains a tutorial example illustrating the design process using SIS.
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