Mathematical Sciences: Stochastic Processes Applied to      Control, Reliability and Replacement
{'Code': '03040107', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Peter Arzberger', 'PO_EMAI': None, 'PO_PHON': None}
The proposal addresses three major topics.  The first one is               that of modeling inter fitting circles or cylinders by random                   fields.  This is necessary since the success of the operation of                machines involving such components depends on the smoothness of                 the surfaces that are finer than what can be achieved by the                    manufacturing processes.  The stochastic geometry and analysis of               such spaces will be investigated.  The second topic of the                      reliability and maintenance of complex devices will be                          investigated under the assumed dependence of the components,                    which will make the resulting theories more practical and                       applicable.  The third topic will extend the idea of markovian                  dependence to one with infinite but exponentially fading memory.
{'FirstName': 'Erhan', 'LastName': 'Cinlar', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Erhan Cinlar', 'EmailAddress': None, 'NSF_ID': '000331685', 'StartDate': '10/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Princeton University', 'CityName': 'PRINCETON', 'ZipCode': '085442001', 'PhoneNumber': '6092583090', 'StreetAddress': '1 NASSAU HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': 'NJ1YPQXQG7U5', 'ORG_LGL_BUS_NAME': 'THE TRUSTEES OF PRINCETON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1263', 'Text': 'PROBABILITY'}, {'Code': '1454', 'Text': 'SYSTEMS THEORY'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8614888.xml'}