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Il Ã©value ensuite de diffÃ©rentes faÃ§ons l'effet de l'interaction entre deux Ã© crans placÃ©s face Ã face de part et d'autre d'une excavation. L'article passe en revue les mÃ©thodes de calcul utilisÃ©es pour Ã©valuer la butÃ©e, en insistant sur la distance nÃ©cessaire au libre dÃ©veloppement du mÃ©canisme de butÃ©e.

#GEOEXPERT IGM PLUS#

La mobilisation de la butÃ©e devant un Ã© cran implique un volume de sol important, sur une distance plus grande que la fiche et qui dÃ©pend des paramÃ¨tres du calcul. Influence des interactions entre Ã© crans de soutÃ¨nement sur le calcul de la butÃ©e No executable is provided on the distribution medium however It has been successfully implemented on Sun4 workstations running SunOS, HP9000 workstations running HP-UX, and DECstations running ULTRIX. It requires 78K of RAM for execution and a three button mouse. CRANS is written in C-language and requires the MIT X Window System, Version 11 Revision 4 or Revision 5. Input is via mouse selection of the matrix boxes, using the mouse buttons to toggle the state of the item. Output is in the form of a user-defined matrix or matrices of colored boxes, each box representing an item or set of items from the logic tree. A commonality check determines single point failures for an item or group of items. A 'help' mode and a reference check provide the user with a means of exploring an item's underlying logic from within the program. CRANS can also search for a common cause for multiple item failures, and allow the user to explore the logic tree from within the program. The program then evaluates the logic tree based on these changes and determines any resultant changes to other items in the tree. The user is then able to change the state of these items (ON/OFF FAILED/UNFAILED). Items in the tree are related to each other by Boolean operators. CRANS, the Configurable Real-time ANalysis System, can interpret a logic tree, constructed by the user, describing a complex system and determine the effects of changes and failures in it. In this case, failure tables are not very helpful. When confronted by multiple indicated failures in the system, it becomes necessary to determine a single cause. Subsequent changes become harder to evaluate as combinations of failures produce a cascade effect. Tabulations showing the effects of changes and/or failures of a given item in the system are generally only useful for a single input, and only with regard to that item. In a real-time environment, the results of changes or failures in a complex, interconnected system need evaluation quickly. in Microbiology from India before moving to the Department of Medicine at University of Oklahoma Health Sciences Center (OUHSC) in Oklahoma City for aĬRANS - CONFIGURABLE REAL-TIME ANALYSIS SYSTEM Altaf Mohammed serves as a Program Director and COR for the Chemopreventive Agent Development Research Group (CADRG), Division of Cancer Prevention (DCP), National Cancer Institute (NCI). Les gÃ©omÃ©tries de rÃ©alisation d'Ã© crans pour les grands volumes sont Ã©galement discutÃ©es.Īltaf Mohammed, PhD | Division of Cancer Preventionĭr. La rÃ©alisation pratique d'Ã© crans supraconducteurs est dÃ¨s lors possible pour l'Ã©crantage de petits volumes. Celles-ci se comparent favorablement Ã celles d'Ã© crans en mumÃ©tal. Nous mesurons Ã 77K les caractÃ©ristiques d'Ã©crantage basse frÃ©quence et bas champ d'Ã© crans supraconducteurs en YBaCuO. The case of magnetic shields for large volumes is also discussed. Therefore high-T_c superconducting magnetic shields can already be used to shield small volumes. They compare favourably with shielding properties of mumetal shields. Low fields and low frequency shielding properties of YBCO magnetic shields are measured at 77 K. RÃ©alisation d'Ã© crans magnÃ©tiques supraconducteurs

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