A Machine Learning Model For Estimating Shipping Noise In India Ocean Region.
This article discusses the importance of managing underwater radiated noise (URN) generated by commercial ships, which can have negative impacts on marine species that rely on sound for navigation, communication, and survival…
Vessel Path Prediction IWT
This research note highlights that Indian inland waterways have not been studied thoroughly and that it has been generally neglected until now. The research notes state that although the proportion of traffic carried through IWT is a fraction of that carried by road and rail, the rapidly increasing importance of river transport cannot be underestimated. This research note also…
URN Management And The Larger Framework.
This paper attempts to address the gaps in policy and associated know how with regards to URN Management, suggesting technical, operational and policy interventions that can aid in management of underwater radiated noise. It also considers existing and new vessels separately and stresses on the need for capacity…
Passive Sonar Simulator Vulnerability Assessment
The rise in awareness and interest of marine resources and resulting tensions has created the need for security and assessment of deploying a ship in a region. Vulnerability assessment is the study of how vulnerable one’s ship…
Passive Sonar Simulator Design And Development (Effective Detection).
The text discusses various aspects related to passive sonar, including the detection of targets amidst ambient noise and transmission loss, sonar performance modeling, receiver operating characteristics (ROC), transmission loss, effective detection, shipping…
Effective Deployment Of Passive Sonar Simulator
The article discusses the importance of sound-based technologies, specifically passive sonar, in submarine operations. It highlights the challenges faced in deploying submarines effectively and safely, such as the need for accurate information about noise maps and potential…
AIS Data Profiling For Error Analysis In Indian Ocean Region (IOR)
The Project discusses the importance of the Automatic Identification System (AIS) in enhancing safety and efficiency in maritime navigation. It highlights the potential negative impact of fast mandatory implementation of AIS without adequate research on its use, citing examples of AIS-assisted collisions. The need for specific dominant…
Vessel Trajectory Reconstruction Of Missing AIS Data Values Machine Learning.
The report discusses the importance of Automatic Identification System (AIS) data in tracking vessel trajectories and its applications in various fields such as mapping shipping density, characterizing marine traffic patterns, anomalous behavior detection of ships, collision risk analysis, investigation of maritime accidents, and maritime route generation for…
Shipping Radiated Noise Estimation Using AI.
This research note highlights commercial ships are the major source of underwater radiated noise, which is generated because of interaction between hull, water and propeller cavitation that lies in the low-frequency range. It states that various…
Radiated Noise Generation
This paper states that the standard modes of signal transmission underwater are acoustic waves and a large majority of marine life uses sound waves for regular movement. Therefore, the classification and analysis of sources of underwater noise becomes imperative. The study classifies the noise in context of ships into following…