Výsledky vyhledávání - "R. E. Glaser"

Prompt neutron emission from the spontaneous fission ofMd260

Autor: P. Patzelt, J. F. Wild, W. Westmeier, R. Brandt, J. van Aarle, R. E. Glaser, E. K. Hulet, R. W. Lougheed, R.J. Dougan, Kenton J. Moody, E.-A. Koop

Publikováno v: Physical Review C. 41:640-646

We have made the first measurement of the number of neutrons emitted from the spontaneous fission of a nuclide in which very high fragment energies dominate the fission process. In bombardments of {sup 254}Es, we produced a large sample of 28-d {sup

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::81c9eeafab24aac3b3850a209979254e
https://doi.org/10.1103/physrevc.41.640

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TRANSIENT UPSETS IN MICROPROCESSOR CONTROLLERS

Autor: R. E. Glaser, G. M. Masson

Publikováno v: Twenty-Fifth International Symposium on Fault-Tolerant Computing, 1995, ' Highlights from Twenty-Five Years'..

The modeling and analysis of transient faults in microprocessor based controllers are discussed. Such controllers typically consist of a microprocessor, read only memory storing and application program, random access memory for data storage, and inpu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0098bd665e09c2c8ad16e9ac90993681
https://doi.org/10.1109/ftcsh.1995.532617

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Multi-Resolution Markov-Chain-Monte-Carlo Approach for System Identification with an Application to Finite-Element Models

Autor: C L Lee, R E Glaser, J J Nitao, W G Hanley, G Johannesson

Estimating unknown system configurations/parameters by combining system knowledge gained from a computer simulation model on one hand and from observed data on the other hand is challenging. An example of such inverse problem is detecting and localiz

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0efdfea0e45d12bfbc24ee507bd30df
https://doi.org/10.2172/15014635

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Stochastic Engine Final Report: Applying Markov Chain Monte Carlo Methods with Importance Sampling to Large-Scale Data-Driven Simulation

Accurate prediction of complex phenomena can be greatly enhanced through the use of data and observations to update simulations. The ability to create these data-driven simulations is limited by error and uncertainty in both the data and the simulati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0b8fe6da546587cc3251157f1b6fee5a
https://doi.org/10.2172/15009813

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