Canon kabushiki kaisha (20240106908). INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM simplified abstract
Contents
- 1 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE 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 Unanswered Questions
- 1.11 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Organization Name
Inventor(s)
NOBUHIRO Tagashira of Chiba (JP)
YUKI Minetomo of Kanagawa (JP)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240106908 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing apparatus that determines the network environment of a device based on acquired information and uses this information for learning processing of a learning model.
- Acquisition unit acquires information about the network environment of a device.
- Determination unit determines the network environment of the device based on the acquired information.
- Generation unit generates learning data for a learning model based on the determined network environment.
- Learning unit performs learning processing using the generated learning data.
Potential Applications
This technology could be applied in:
- Network security systems
- IoT devices
Problems Solved
This technology helps in:
- Improving network environment detection accuracy
- Enhancing learning processing efficiency
Benefits
The benefits of this technology include:
- Better network environment determination
- Enhanced learning model performance
Potential Commercial Applications
This technology could be used in:
- Cybersecurity software
- Smart home devices
Possible Prior Art
One possible prior art for this technology could be:
- Network environment detection algorithms used in existing devices
Unanswered Questions
How does this technology handle dynamic network environments?
The patent abstract does not specify how the apparatus deals with changes in the network environment over time. It would be important to understand how the learning model adapts to such changes.
What types of devices can benefit from this technology?
The abstract does not mention specific types of devices that can utilize this technology. It would be interesting to know if it is limited to certain devices or can be applied universally.
Original Abstract Submitted
an information processing apparatus includes an acquisition unit that performs acquiring first information used for determining a network environment to which a device belongs, and second information indicating the network environment to which the device belongs, a determination unit that performs determining a network environment to which the device belongs, based on the first information, a generation unit that performs generating, based at least on whether the network environment determined by the determination unit matches with the network environment indicated by the second information, learning data used in learning processing of a learning model that is used by the device to determine the network environment, and a learning unit that performs the learning processing using the learning data.