Data quality monitoring using embedded intelligence
Data quality monitoring using embedded intelligence
- New search for: Szabados, M.
- New search for: Bethem, T.
- New search for: Evans, M.
- New search for: Szabados, M.
- New search for: Bethem, T.
- New search for: Evans, M.
The need for accurate real-time navigation products is great and rapidly increasing. The Marine Transportation System (MTS) in the United States moves dollar 10 trillion of cargo each year representing, by weight, 95 percent of U.S. international trade. This is expected to double, and possibly triple, by 2020. Accurate real-time tide and current information is essential for safe and efficient navigation, thus helping to improve MTS economic productivity. To meet this need for accurate real-time information, the National Oceanic and Atmospheric Administration (NOAA)/National Ocean Service (NOS) has created a state-of-the-art, real-time data quality monitoring system called the Continuous Operational Real-Time Monitoring System (CORMS) using case-based and rule-based reasoning. Rule-based reasoning and case-based reasoning have emerged as two important and complementary reasoning methodologies in the field of artificial intelligence (AI).
Document information
Data quality monitoring using embedded intelligence
Sea Technology ; 44 , 5 ; 53-56
2003
4 Seiten
Article (Journal)
English
Similar titles
Monitoring of transmission load data using artificial intelligence
| Automotive engineering | 2013
Monitoring of transmission load data using artificial intelligence
| Tema Archive | 2013
Artificial Intelligence-based Water Quality Contaminant Monitoring System and Method
European Patent Office | 2023