Canon kabushiki kaisha (20240288845). INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM simplified abstract
Contents
INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM
Organization Name
Inventor(s)
INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240288845 titled 'INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM
Simplified Explanation: The patent application describes an information processing apparatus that uses regression models to determine and display information about sample shot regions on a substrate.
Key Features and Innovation:
- Processor determines sample shot regions using regression models.
- Display controller shows information of sample shot regions on a user interface screen.
- Processor can redetermine sample shot regions using a different regression model.
- Display controller updates display with the newly determined sample shot regions.
Potential Applications: This technology could be used in industries such as semiconductor manufacturing, quality control, and image processing.
Problems Solved: This technology helps in accurately determining and displaying information about sample shot regions on a substrate, improving efficiency and accuracy in various processes.
Benefits:
- Enhanced accuracy in determining sample shot regions.
- Improved display of information on a user interface screen.
- Increased efficiency in processing and analyzing data.
Commercial Applications: Potential commercial applications include semiconductor manufacturing equipment, quality control systems, and image processing software for various industries.
Prior Art: Researchers can explore prior art related to regression models in information processing, display control systems, and substrate analysis.
Frequently Updated Research: Stay updated on advancements in regression modeling, display control technologies, and substrate analysis techniques for potential improvements in this technology.
Questions about Information Processing Apparatus: 1. How does the use of regression models improve the accuracy of determining sample shot regions? 2. What are the potential implications of using different regression models for redetermining sample shot regions?
Original Abstract Submitted
an information processing apparatus includes a processor configured to determine, using a first regression model formed by a plurality of terms, a plurality of sample shot regions from a plurality of shot regions on a substrate, and a display controller configured to perform display control so that information of the plurality of sample shot regions determined by the processor is displayed on a user interface screen. the processor is configured to redetermine a plurality of sample shot regions using a second regression model formed by some terms of the plurality of terms, and the display controller is configured to update display of the user interface screen so that information of the plurality of sample shot regions redetermined by the processor is displayed on the user interface screen.
