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    ENTCS
    2006
    168views more  ENTCS 2006»
    A Functional Programming Framework for Latency Insensitive Protocol Validation
    13 years 7 months ago
    A Functional Programming Framework for Latency Insensitive Protocol Validation
    Download  www.irisa.fr
    Latency insensitive protocols (LIPs) have been proposed as a viable means to connect synchronous IP blocks via long interconnects in a system-on-chip. The reason why one needs to ...
    Syed Suhaib, Deepak Mathaikutty, Sandeep K. Shukla...
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    JAIR
    2008
    108views more  JAIR 2008»
    A Multiagent Approach to Autonomous Intersection Management
    13 years 7 months ago
    A Multiagent Approach to Autonomous Intersection Management
    Download  www.jair.org
    Artificial intelligence research is ushering in a new era of sophisticated, mass-market transportation technology. While computers can already fly a passenger jet better than a tr...
    Kurt M. Dresner, Peter Stone
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    SIGMETRICS
    2008
    ACM
    117views Hardware» more  SIGMETRICS 2008»
    Epidemic live streaming: optimal performance trade-offs
    13 years 7 months ago
    Epidemic live streaming: optimal performance trade-offs
    Download  gang.inria.fr
    Several peer-to-peer systems for live streaming have been recently deployed (e.g. CoolStreaming, PPLive, SopCast). These all rely on distributed, epidemic-style dissemination mech...
    Thomas Bonald, Laurent Massoulié, Fabien Ma...
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    TSP
    2008
    132views more  TSP 2008»
    On Doubly Selective Channel Estimation Using Superimposed Training and Discrete Prolate Spheroidal Sequences
    13 years 6 months ago
    On Doubly Selective Channel Estimation Using Superimposed Training and Discrete Prolate Spheroidal Sequences
    Download  www2.isye.gatech.edu
    Abstract--Channel estimation and data detection for frequencyselective time-varying channels are considered using superimposed training. We employ a discrete prolate spheroidal bas...
    Shuangchi He, Jitendra K. Tugnait
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    TCAD
    2010
    150views more  TCAD 2010»
    Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
    13 years 2 months ago
    Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
    Download  chips.ece.iisc.ernet.in
    Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
    Janakiraman Viraraghavan, Bharadwaj Amrutur, V. Vi...
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