Knowledge-Based Data Processing for Automated Condition     Surveys and Damage Assessment
{'Code': '07030000', 'Directorate': {'LongName': 'Directorate For Engineering'}, 'Division': {'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'John Scalzi'}
The nation's maintenance and rehabilitation needs have created a demand         for rapid, accurate, comprehensive, and economical methods for                  surveying the in-situ condition of the streets and highway pavements.           This project will investigate the management of measurement problem in          terms of the available sensory input and desired output.  The                   collection and assessment of the pavement data is a critical element in         highway management.  The management procedure to be developed will              include knowledge representations, inference mechanisms, and data and           user interfaces.  The results will be of benefit to State and Federal           highway managers.
{'FirstName': 'Kenneth', 'LastName': 'Maser', 'EmailAddress': 'kmaser@infrasense.com', 'StartDate': '12/15/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA'}
{'Code': '1473', 'Text': 'STRUCTURES I'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1985&All=true', 'xml': '8507423.xml'}