R&D

Main Contents

Development of marine prediction and coastal disaster prevention systems, and a marine artificial intelligence model
Development of video data analysis technology, analysis of oceanic big data, establishment of artificial intelligence learning data, and development of application software
Ramping up the efficiency and competitiveness of maritime disaster response technology and incorporating new digital technologies

Major Areas

1) Development of an Artificial Neural Network-based storm and tsunami emergency prediction model for adaptation to climate change

  • Creation of virtual typhoons like those that can occur on the Korean peninsula, and storm and tsunami prediction through artificial intelligence (AI) learning
  • Efficient prediction and rapid response through the application of AI technology, shifting away from conventional marine disaster prediction
  • Providing quantitative information necessary to enable regional response

2) Development of an artificial intelligence-based wave prediction system ? constant wave prediction technology

  • Development of a constant wave prediction model for the waters around the Korean peninsula by using artificial neural networks
  • Using weather data to rapidly and accurately predict waves up to 2 days in advance

3) Development of an artificial intelligence-based wave prediction system ? technology for detecting wave overtopping and calculating the height of the rise

  • Development of technology for detecting wave overtopping and calculating the height of the rise by using image processing and artificial intelligence
  • Real-time wave overtopping detection with high accuracy and efficiency and automatic accumulation of wave overtopping database

4) Development of automatic tsunami observation technology by using CCTV

  • Development of image-based water level observation technology
  • Development of image-based flow velocity observation technology
  • Development of a tsunami calculation algorithm

Major Business

Development of an Artificial Neural Network-based storm and tsunami emergency prediction model for adaptation to climate change

Creation of virtual typhoons like those that can occur on the Korean peninsula, and storm and tsunami prediction through artificial intelligence (AI) learning Efficient prediction and rapid response through the application of AI technology, shifting away from conventional marine disaster prediction

Development of automatic tsunami observation technology by using CCTV

Development of image-based water level observation technology
Development of image-based flow velocity observation technology
Development of a tsunami calculation algorithm

Development of an artificial intelligence-based wave prediction system ? constant wave prediction technology

Development of a constant wave prediction model for the waters around the Korean peninsula by using artificial neural networks
Using weather data to rapidly and accurately predict waves up to 2 days in advance

Development of an artificial intelligence-based wave prediction system ? technology for detecting wave overtopping and calculating the height of the rise

Development of technology for detecting wave overtopping and calculating the height of the rise by using image processing and artificial intelligence
Real-time wave overtopping detection with high accuracy and efficiency and automatic accumulation of wave overtopping database