The Experts below are selected from a list of 222 Experts worldwide ranked by ideXlab platform

A. Wesley Burks - One of the best experts on this subject based on the ideXlab platform.

  • The invention of the universal electronic computer: how the electronic computer revolution began
    Future Generation Computer Systems, 2002
    Co-Authors: A. Wesley Burks
    Abstract:

    This is the story of the Causal Sequence of the three programmable digital electronic computers that launched the Electronic Computer Revolution: the ENIAC (Electronic Numerical Integrator and Computer); the EDVAC (Electronic Discrete Variable Computer); and the Von Neumann, or IAS (Institute for Advanced Study), Computer. All were designed and built from 1943 to 1951. The chief designers were Presper Eckert, John Mauchly, John Von Neumann, Arthur Burks, and Herman Goldstine.The interacting roles of truth-functional and memory logic with digital electronics are explained, together with the relation of these electronic computers to the theoretical calculating systems of Kurt Godel and Alan Turing.

  • The invention of the universal electronic computer - How the electronic computer revolution began
    Future Generation Computer Systems, 2002
    Co-Authors: A. Wesley Burks
    Abstract:

    This is the story of the Causal Sequence of the three programmable digital electronic computers that launched the Electronic Computer Revolution: the ENIAC (Electronic Numerical Integrator and Computer); the EDVAC (Electronic Discrete Variable Computer); and the Von Neumann, or IAS (Institute for Advanced Study), Computer. All were designed and built from 1943 to 1951. The chief designers were Presper Eckert, John Mauchly, John Von Neumann, Arthur Burks, and Herman Goldstine. The interacting roles of truth-functional and memory logic with digital electronics are explained, together with the relation of these electronic computers to the theoretical calculating systems of Kurt Gödel and Alan Turing. © 2002 Published by Elsevier Science B.V.

Eckehard Schnieder - One of the best experts on this subject based on the ideXlab platform.

  • IECON - Online monitoring of a distributed building automation system to verify large Sequences of bus messages by Causal Petri net models
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Patrick Diekhake, Eckehard Schnieder
    Abstract:

    Distributed systems for building automation have already exhibited a high degree of functional complexity. The integration of AAL (Ambient Assisted Living), Smart Grid and energy saving features result in more functional relationships. To handle this complexity, the software architecture of distributed automation systems is increasingly based on hierarchy concepts. The depending software components in this hierarchy have to communicate via a bus system, which results in large Sequences of messages for a communication process. The recognition of these Causal Sequences is necessary for a systematical identification of faults in the system. Due to the high amount of parallel processes, it is more difficult to assign non- deterministic events to a Causal Sequence of events. This contribution presents a case study of online monitoring of a distributed automation system for building automation to verify the Causal relationships between bus messages. That assumes an establishment of a chronologic total order of permitted Sequences, which are specified by Causal Petri nets. A universal interface allows a direct link between this Sequence model and the real automation system to capture specific communication Sequences online. Based on the online recognition of message Sequences during the operation phase, further analysis of fault or failure causes is supported by this kind of online monitoring system.

  • Online monitoring of a distributed building automation system to verify large Sequences of bus messages by Causal Petri net models
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Patrick Diekhake, Eckehard Schnieder
    Abstract:

    Distributed systems for building automation have already exhibited a high degree of functional complexity. The integration of AAL (Ambient Assisted Living), Smart Grid and energy saving features result in more functional relationships. To handle this complexity, the software architecture of distributed automation systems is increasingly based on hierarchy concepts. The depending software components in this hierarchy have to communicate via a bus system, which results in large Sequences of messages for a communication process. The recognition of these Causal Sequences is necessary for a systematical identification of faults in the system. Due to the high amount of parallel processes, it is more difficult to assign non- deterministic events to a Causal Sequence of events. This contribution presents a case study of online monitoring of a distributed automation system for building automation to verify the Causal relationships between bus messages. That assumes an establishment of a chronologic total order of permitted Sequences, which are specified by Causal Petri nets. A universal interface allows a direct link between this Sequence model and the real automation system to capture specific communication Sequences online. Based on the online recognition of message Sequences during the operation phase, further analysis of fault or failure causes is supported by this kind of online monitoring system.

Mervyn Susser - One of the best experts on this subject based on the ideXlab platform.

  • Maternal weight gain, infant birth weight, and diet: Causal
    1991
    Co-Authors: Mervyn Susser
    Abstract:

    The Causal Sequence maternal nutrition -� maternal weight gain -� infant birth weight is not sustained by available evidence except under extreme nutritional deprivation. For maternal weight change, diet effects of near starvation are unequivocal. With chronic undernutrition or social deprivation, diet effects arc inapparent or modest (conditional on pregnancy stage, diet supplement, and prepregnancy weight). For birth- weight change, diet effects of near starvation are likewise un- equivocal and modest with chronic undernutrition or social de- privation. The complete Causal Sequence has been demonstrated only below a famine threshold. Outside famine, effects are modest (conditional on baseline nutrition, timing, and content of diets, possibly also on infant sex and energy expenditure). High-protein concentrations have produced adverse effects. Micronutrients and consequent fluid retention could have favorable effects. Diet effects on birth weight apparently bypass maternal weight change. Hence, to enhance birth weight, maternal diet appears to deserve more attention than does weight gain. Am J Clin Nutr

  • Maternal weight gain, infant birth weight, and diet: Causal Sequences
    The American Journal of Clinical Nutrition, 1991
    Co-Authors: Mervyn Susser
    Abstract:

    : The Causal Sequence maternal nutrition----maternal weight gain----infant birth weight is not sustained by available evidence except under extreme nutritional deprivation. For maternal weight change, diet effects of near starvation are unequivocal. With chronic undernutrition or social deprivation, diet effects are inapparent or modest (conditional on pregnancy stage, diet supplement, and prepregnancy weight). For birth-weight change, diet effects of near starvation are likewise unequivocal and modest with chronic undernutrition or social deprivation. The complete Causal Sequence has been demonstrated only below a famine threshold. Outside famine, effects are modest (conditional on baseline nutrition, timing, and content of diets, possibly also on infant sex and energy expenditure). High-protein concentrations have produced adverse effects. Micronutrients and consequent fluid retention could have favorable effects. Diet effects on birth weight apparently bypass maternal weight change. Hence, to enhance birth weight, maternal diet appears to deserve more attention than does weight gain.

Patrick Diekhake - One of the best experts on this subject based on the ideXlab platform.

  • IECON - Online monitoring of a distributed building automation system to verify large Sequences of bus messages by Causal Petri net models
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Patrick Diekhake, Eckehard Schnieder
    Abstract:

    Distributed systems for building automation have already exhibited a high degree of functional complexity. The integration of AAL (Ambient Assisted Living), Smart Grid and energy saving features result in more functional relationships. To handle this complexity, the software architecture of distributed automation systems is increasingly based on hierarchy concepts. The depending software components in this hierarchy have to communicate via a bus system, which results in large Sequences of messages for a communication process. The recognition of these Causal Sequences is necessary for a systematical identification of faults in the system. Due to the high amount of parallel processes, it is more difficult to assign non- deterministic events to a Causal Sequence of events. This contribution presents a case study of online monitoring of a distributed automation system for building automation to verify the Causal relationships between bus messages. That assumes an establishment of a chronologic total order of permitted Sequences, which are specified by Causal Petri nets. A universal interface allows a direct link between this Sequence model and the real automation system to capture specific communication Sequences online. Based on the online recognition of message Sequences during the operation phase, further analysis of fault or failure causes is supported by this kind of online monitoring system.

  • Online monitoring of a distributed building automation system to verify large Sequences of bus messages by Causal Petri net models
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Patrick Diekhake, Eckehard Schnieder
    Abstract:

    Distributed systems for building automation have already exhibited a high degree of functional complexity. The integration of AAL (Ambient Assisted Living), Smart Grid and energy saving features result in more functional relationships. To handle this complexity, the software architecture of distributed automation systems is increasingly based on hierarchy concepts. The depending software components in this hierarchy have to communicate via a bus system, which results in large Sequences of messages for a communication process. The recognition of these Causal Sequences is necessary for a systematical identification of faults in the system. Due to the high amount of parallel processes, it is more difficult to assign non- deterministic events to a Causal Sequence of events. This contribution presents a case study of online monitoring of a distributed automation system for building automation to verify the Causal relationships between bus messages. That assumes an establishment of a chronologic total order of permitted Sequences, which are specified by Causal Petri nets. A universal interface allows a direct link between this Sequence model and the real automation system to capture specific communication Sequences online. Based on the online recognition of message Sequences during the operation phase, further analysis of fault or failure causes is supported by this kind of online monitoring system.

John E Deanfield - One of the best experts on this subject based on the ideXlab platform.

  • neonatal hypoxia hippocampal atrophy and memory impairment evidence of a Causal Sequence
    Cerebral Cortex, 2015
    Co-Authors: Janine M Cooper, D G Gadian, Sebastian Jentschke, Allan Goldman, Monica Munoz, Georgia Pitts, Tina Banks, Kling W Chong, Aparna Hoskote, John E Deanfield
    Abstract:

    Neonates treated for acute respiratory failure experience episodes of hypoxia. The hippocampus, a structure essential for memory, is particularly vulnerable to such insults. Hence, some neonates undergoing treatment for acute respiratory failure might sustain bilateral hippocampal pathology early in life and memory problems later in childhood. We investigated this possibility in a cohort of 40 children who had been treated neonatally for acute respiratory failure but were free of overt neurological impairment. The cohort had mean hippocampal volumes (HVs) significantly below normal control values, memory scores significantly below the standard population means, and memory quotients significantly below those predicted by their full scale IQs. Brain white matter volume also fell below the volume of the controls, but brain gray matter volumes and scores on nonmnemonic neuropsychological tests were within the normal range. Stepwise linear regression models revealed that the cohort's HVs were predictive of degree of memory impairment, and gestational age at treatment was predictive of HVs: the younger the age, the greater the atrophy. We conclude that many neonates treated for acute respiratory failure sustain significant hippocampal atrophy as a result of the associated hypoxia and, consequently, show deficient memory later in life.