Neural Network Analysis of Chemical Microsensing Array Data
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
{'SignBlockName': 'Ritchie B. Coryell', 'PO_EMAI': None, 'PO_PHON': None}
This project addresses the difficult problem of detecting toxic gases.          Sensors have been made from semiconductors which could make it much             cheaper and easier to detect such gases, but it is difficult and                expensive to do the calculations needed to interpret what the sensors           are measuring.  In phase I of this project, the company successfully            proved that artificial neural networks (ANN's) can be used to reduce            the cost of interpretation by orders of magnitude, for detecting three          test gases.  Phase II will extend this further, by trying to detect             carbon monoxide (CO) -- a very important pollutant -- under a variety           of conditions, with interference from humidity and other gases.  It             will attempt to measure CO concentration levels accurately, in real-            time.
{'FirstName': 'Paul', 'LastName': 'Clifford', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul Clifford', 'EmailAddress': None, 'PI_PHON': None, 'NSF_ID': '000236987', 'StartDate': '09/15/1989', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Mosaic Industries Inc', 'CityName': 'Mountain View', 'ZipCode': '940431426', 'PhoneNumber': '4159619054', 'StreetAddress': "1260 L'Avenida Suite B", 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'CA18', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '5373', 'Text': 'SBIR Phase II'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8821880.xml'}