Kabushiki kaisha toshiba (20240094434). INFORMATION PROCESSING APPARATUS, RADAR APPARATUS, METHOD, AND STORAGE MEDIUM simplified abstract

INFORMATION PROCESSING APPARATUS, RADAR APPARATUS, METHOD, AND STORAGE MEDIUM

Organization Name

kabushiki kaisha toshiba

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 20240094434 titled 'INFORMATION PROCESSING APPARATUS, RADAR APPARATUS, METHOD, AND STORAGE MEDIUM

Simplified Explanation

The abstract describes an information processing apparatus that acquires weather data and ground rainfall amount data to generate composite rainfall amount data using a learned model.

• The processing circuitry acquires first and second weather data in different time zones.
• It acquires ground rainfall amount data and generates learning data based on this data and the first feature values.
• The apparatus then generates a learned model based on the learning data.
• It acquires second feature values based on the first and second weather data in the second time zone.
• The learned model outputs a parameter by inputting the second feature values.
• Finally, the apparatus generates composite rainfall amount data based on the parameter.

Potential Applications

This technology could be applied in weather forecasting systems, agricultural planning tools, and flood prediction models.

Problems Solved

This technology helps in accurately predicting composite rainfall amounts by utilizing ground rainfall data and weather data from different time zones.

Benefits

The benefits of this technology include improved accuracy in rainfall predictions, better planning for agricultural activities, and enhanced flood preparedness.

Potential Commercial Applications

One potential commercial application of this technology could be in developing advanced weather prediction software for meteorological agencies.

Possible Prior Art

One possible prior art for this technology could be existing weather prediction models that use machine learning algorithms to forecast rainfall amounts.

Unanswered Questions

How does this technology handle variations in weather patterns across different regions?

The abstract does not provide information on how the apparatus adjusts for regional differences in weather patterns when generating composite rainfall amount data.

What is the computational efficiency of this information processing apparatus?

The abstract does not mention the computational resources required to run the processing circuitry and generate the learned model for predicting composite rainfall amounts.

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.