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    NETWORKS
    2006
    93views Computer Networks» more  NETWORKS 2006»
    Extreme point characterizations for infinite network flow problems
    13 years 9 months ago
    Extreme point characterizations for infinite network flow problems
    Download  www-personal.umich.edu
    We study capacitated network flow problems with supplies and demands defined on a countably infinite collection of nodes having finite degree. This class of network flow models in...
    H. Edwin Romeijn, Dushyant Sharma, Robert L. Smith
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    RTS
    2006
    176views more  RTS 2006»
    Verifying distributed real-time properties of embedded systems via graph transformations and model checking
    13 years 9 months ago
    Verifying distributed real-time properties of embedded systems via graph transformations and model checking
    Download  www.isis.vanderbilt.edu
    Component middleware provides dependable and efficient platforms that support key functional, and quality of service (QoS) needs of distributed real-time embedded (DRE) systems. C...
    Gabor Madl, Sherif Abdelwahed, Douglas C. Schmidt
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    RTS
    2006
    96views more  RTS 2006»
    The TTA's Approach to Resilience after Transient Upsets
    13 years 9 months ago
    The TTA's Approach to Resilience after Transient Upsets
    Download  www.vmars.tuwien.ac.at
    Abstract. The Time-Triggered Architecture, as architecture for safety-critical realtime applications, incorporates fault-tolerance mechanisms to ensure correct system operation des...
    Wilfried Steiner, Michael Paulitsch, Hermann Kopet...
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    IJISEC
    2007
    149views more  IJISEC 2007»
    Dynamic security labels and static information flow control
    13 years 9 months ago
    Dynamic security labels and static information flow control
    Download  tianyuan.org
    This paper presents a language in which information flow is securely controlled by a type system, yet the security class of data can vary dynamically. Information flow policies ...
    Lantian Zheng, Andrew C. Myers
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    TIT
    2008
    102views more  TIT 2008»
    On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes
    13 years 9 months ago
    On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes
    Download  www.engr.colostate.edu
    Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
    Jie Luo
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