A Machine Learning based Model for Estimating shipping noise in Indian Ocean Region
Ashutosh Khandal
Research intern at MRC
Key Highlights
- Machine learning is the application of artificial intelligence that can learn automatically and improve from experience rather than explicit programming
- Machine learning usage has started to rise in the maritime domain and a lot of research has been done to incorporate it into the various domains of maritime
- Challenges with existing mathematical models are related to time complexity, some parameters that required web scraping, a lot of computation, incorrect for modern ships, etc
- We have to develop effective and efficient ML-based algorithms which are accurate and useful
- We have to keep an open database that contains data related to the shipping industry that can be useful for the maritime domain
Underwater radiated noise management is a very important research area. There are multiple dimensions for URN management like identification of ship noise and vibration sources and mitigating noise and vibration at the design stage itself, transmission path analyzed for reducing noise and radiated noise through underwater medium should be analysed as this is the transmission path for noise to interact with the environment. Various stakeholders are interested in these kinds of applications related to their requirements.
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Ashutosh Khandal
Research intern at MRC
Ashutosh Khandal is a final year Mechanical Engineering student at IIT Delhi. He is currently pursuing his internship at the Maritime Research Centre (MRC), Pune.