PPT-Tightly-Coupled Opportunistic Navigation for Deep Urban and
Author : lois-ondreau | Published Date : 2016-07-28
Ken Pesyna Zak Kassas Jahshan Bhatti and Todd Humphreys Presentation at ION 2011September 23 2011 Outline Motivate amp define TightlyCoupled Opportunistic
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Tightly-Coupled Opportunistic Navigation for Deep Urban and: Transcript
Ken Pesyna Zak Kassas Jahshan Bhatti and Todd Humphreys Presentation at ION 2011September 23 2011 Outline Motivate amp define TightlyCoupled Opportunistic Navigation TCON. Always relative to inertial space Most common inertial sensors Accelerometers G yros brPage 4br Accelerometers By attaching a mass to a spring measuring its deflection we get a simple accelerometer Figure Gade 2004 brPage 5br Accelerometers conti Michele . Rienecker. Global Modeling and Assimilation Office. NASA/GSFC. WMO CAS Workshop. Sub-seasonal to Seasonal Prediction. Met Office, Exeter. 1 to 3 December 2010 . 2. What do we mean by “coupled data assimilation”?. BDD and Testing. 1. New Concept: . Acceptance Tests. Customer . criteria for accepting a milestone. Get paid if pass!. Black-box . tests specified with the customer. Agreed upon features: User Stories!. April 23, 2014. 1. Timeline:. March 14th. - Subcommittee . reconvened . to understand existing sources of data. . Recommended . path forward . to Staff. . April 16th. - Subcommittee . met . to . Reza . Sherafat. . Kazemzadeh. . AND. . Hans-Arno Jacobsen. Middleware Systems Research Group. University of Toronto. . Agenda. The content-based publish/subscribe model. Characteristics and challenges. isopycnic. grids. Rainer Bleck, Shan Sun, . Haiqin. Li, Stan Benjamin. NOAA Earth System Research Laboratory. Boulder, Colorado. April 2016. Design . goals. :. (some reached, some pending). Global domain. System) . – . IX-100. MS Windows CE 6.0 . core. High sensitive. . GPS . receiver . (. UBLOX 6 . AssistNow. ™ Autonomous. ). Telechips. . TCC8901 . Dual Core . 1.32 . GHz CPU . (. 720Mhz . 1. Saha-UMAC-09Aug2016. Atmosphere. , Land, Ocean, . Seaice. , Wave, . Chemistry, . Ionosphere. Data Assimilation cycle. Analysis frequency H. ourly. Forecast length . 9 . hours. Resolution . 10 . NON - VERTICAL CAVITY LASER ARRAYS BY ZIHE GAO DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical and Computer Engineering in the NON-VERTICAL CAVITY LASER ARRAYSBYZIHE GAODISSERTATIONSubmitted in partial fulfillment of the requirementsfor the degree of Doctor of Philosophy in Electrical and Computer Engineeringin the Graduate C Polly Smith, Alison . Fowler & Amos . Lawless. School of Mathematical and Physical . Sciences, . University of . Reading, UK.. Introduction (1). Typically, . initial conditions for coupled atmosphere-ocean model forecasts . –. Cryptococcus . neoformans. –Candida . albicans. –. Aspergillusspecies. –Pneumocystis . carinii. Cryptococcus . neoformans. . Cryptococcus . neoformans. is a fungus that lives in the environment throughout the world. People can become infected with C. . C. Koven, J. Chambers, L. . Kueppers. , R. Fisher, R. Leung, C. . Xu. , B. . Christoffersen. , R. G. Knox, J. A. Holm, G. . Bisht. , Y. Fang,. And the NGEE-Tropics team. And collaborators. : G. J. . Kooperman. for Use in Radiation Shielding Applications. by. Dermott E. Cullen. Lawrence Livermore National Laboratory. &. Robert E. MacFarlane. Los Alamos National Laboratory. presented at the Twelfth Biennial Topical Meeting of the Radiation Protection and Shielding Division, of the American Nuclear Society, to be held April 14-17, 2002 in Santa Fe, New Mexico.
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