This technology represents interdisciplinary research and development results, combining monitoring information to construct a multi-scale digital twin for disaster prevention. The techniques include cloud information retrieval of satellite remote sensing, machine learning for predicting of nighttime cloud conditions, and the construction of 3D volumetric cloud renderi
ng. These components are integrated into the application of web and allowed for widespread dissemination.
As the technology advisory staff to the Central Disasters Prevention and Protection Commission, Executive Yuan, NCDR coordinates and collaborates with government sectors for planning, organizing and promoting technology innovation, providing a platform of information service and technology integration, and designing the policies of disaster prevention. In accordance with the Act for the Establishment of the NCDR, NCDR’s primary missions are: ·Promote and conduct activities related to applied research and development on disaster management. ·Facilitate scientific knowledge and technological advantages for practical implementations to benefit the whole society. ·Apply outputs of science and technology to disaster risk reduction and emergency preparedness. ·Build up international partnerships to exchange experiences and conduct joint projects. ·Collaborate with domestic research institutes to engage stakeholders’contributions for reducing disaster risk and enhancing emergency preparedness. ·Provide relevant services related to disaster management.
Application of natural language technology to build AI automation to ma nage infectious disease pathogen thematic database
Image recognition technology in the hazard prevention of dangerous operations
Design and Implementation of Mining Purchasing Datasets for Purchasing Behavior Prediction and EDM Title Generation
The Application of Integrated Ground-based and Airborne LiDAR in Slope Disaster Investigation
Technology maturity:Experiment stage
Exhibiting purpose:Display of scientific results
Trading preferences:Negotiate by self
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