18181752. INFORMATION PROCESSING APPARATUS, RADAR APPARATUS, METHOD, AND STORAGE MEDIUM simplified abstract (KABUSHIKI KAISHA TOSHIBA)
Contents
- 1 INFORMATION PROCESSING APPARATUS, RADAR APPARATUS, METHOD, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, RADAR APPARATUS, METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS, RADAR APPARATUS, METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Shota Ochi of Yokohama Kanagawa (JP)
Noritsugu Shiokawa of Yokohama Kanagawa (JP)
Yoshimasa Egashira of Yokohama Kanagawa (JP)
Masakazu Wada of Yokohama Kanagawa (JP)
Tetsuya Kobayashi of Nerima Tokyo (JP)
INFORMATION PROCESSING APPARATUS, RADAR APPARATUS, METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18181752 titled 'INFORMATION PROCESSING APPARATUS, RADAR APPARATUS, METHOD, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing apparatus that uses weather data and ground rainfall amount data to generate composite rainfall amount data through a learned model.
- The processing circuitry acquires first and second weather data in a first time zone and ground rainfall amount data.
- Based on the weather data, the circuitry acquires first feature values and generates learning data using the ground rainfall amount data and first feature values.
- A learned model is generated based on the learning data.
- The circuitry then acquires first and second weather data in a second time zone and second feature values based on this data.
- By inputting the second feature values into the learned model, a parameter output is acquired.
- Finally, composite rainfall amount data is generated based on this parameter.
Potential Applications
This technology could be applied in weather forecasting, agriculture, and water resource management.
Problems Solved
This technology helps in predicting composite rainfall amounts accurately, which can aid in better planning and decision-making in various sectors.
Benefits
The benefits of this technology include improved accuracy in rainfall predictions, better resource management, and enhanced preparedness for weather-related events.
Potential Commercial Applications
Commercial applications of this technology could include weather prediction services, agricultural advisory services, and water management solutions.
Possible Prior Art
One possible prior art could be the use of machine learning models in weather forecasting and data analysis. Another could be the use of historical weather data to predict future rainfall patterns.
Original Abstract Submitted
According to one embodiment, an information processing apparatus includes a processing circuitry. The processing circuitry is configured to acquire first and second weather data in a first time zone and ground rainfall amount data, acquire, based on the first and second weather data, first feature values, generate learning data based on the ground rainfall amount data and the first feature values, generate, based on the learning data, a learned model, acquire first and second weather data in a second time zone, acquire, based on the first and second weather data, second feature values, acquire a parameter output from the learned model by inputting the plurality of second feature values, and generate, based on the parameter, composite rainfall amount data.
