Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A new organization based system for oceanographic monitoring (OBSOM) is presented in this paper. The OBSOM core system is based on the Case-Based Reasoning methodology, and it is able to generate a prediction about ocean conditions in certain areas of the ocean. CBR uses historical data to create new solutions to current problems. The system employs a distributed multi-agent architecture so that the main components of the system can be accessed remotely. All the elements building the final system, can communicate in a distributed way, from different type of interfaces and devices. OBSOM has been applied to generate predictions in real oil spill situations. Results have demonstrated that the system can accurately predict the presence of oil slicks in certain areas zones. It has been demonstrated that using a distributed architecture can enhance the overall performance of the system.
['Aitor Mata', 'Belén Pérez', 'Emilio Corchado', 'Javier Bajo']
I am writing a research paper on a idea Organization based system for oceanographic monitoring
[{"from": "human", "value": "I am writing a research paper on a idea Organization based system for oceanographic monitoring"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A new organization based system for oceanographic monitoring (OBSOM) is presented in this paper. The OBSOM core system is based on the Case-Based Reasoning methodology, and it is able to generate a prediction about ocean conditions in certain areas of the ocean. CBR uses historical data to create new solutions to current problems. The system employs a distributed multi-agent architecture so that the main components of the system can be accessed remotely. All the elements building the final system, can communicate in a distributed way, from different type of interfaces and devices. OBSOM has been applied to generate predictions in real oil spill situations. Results have demonstrated that the system can accurately predict the presence of oil slicks in certain areas zones. It has been demonstrated that using a distributed architecture can enhance the overall performance of the system."}]