Seiko Epson Corporation (Tokyo, JP)

A data processing machine has a storage section that keeps a learned model derived through machine learning under an assumption that it can adjust the time intervals according to the usage condition of the printer. This section is built on data sets where the use information of the apparatus as well as adjustments period information that indicates an interval to perform the adjustment process for printing position on a medium are linked. Additionally, there is the reception section which receives the use information of the device. Additionally there’s a processor which calculates the adjustment interval in accordance with the information that is received information and the processor

1. Technical Field

This disclosure relates to an information processing apparatus, learning apparatus, and a medium for storing the model that was learned.

2. Related Art

A method of adjusting the position of printing is typically used to reduce print quality degradation. A method for automating the adjustment with sensors that monitor the outcome of printing has also been suggested. For instance, JP-A-2010-52438 outlines a method for adjusting a shift in the position of printing in a main scanning direction with an optical sensor.

The adjustment of a print’s location is generally performed according to the trigger set by a user. If the timing of the adjustment is not right, the print quality can be affected and vertical streaks or similar issues could occur. Additionally, if the timing of the adjustment process is early the test pattern is required to be printed in the process of adjustment, consequently, the ink and paper could be consumed in excess. The user must issue an instruction for the adjustment process at an proper time. The environment of printing can influence the amount of shift that occurs in the position. It is therefore difficult to change the position of the print at the right timing.

In accordance with an aspect of the current disclosure, an information processing apparatus has a storage area designed to store a machine learning model that is derived by machine learning on a condition to adjust the interval that is in line with the use state of an apparatus for printing which is based on data set in which information about the use state of the print device is associated with adjustment interval information indicating the interval for the adjustment process to printing location on a printing medium and an areception section that is configured to take in the usage state information of the printing apparatus and a processor configured to execute a process for estimating the adjustment interval, using the use state information received and the learnt model.

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2. These terms will enable you to find pertinent Cooperative Patent Classifications using the Classification Search Tool. If you’re not able to locate the appropriate classification to describe your invention, scan through the classification’s Schemas of classes (class schedules) and then try again. If you don’t get any results using the Classification Text Search, you might want to think about substituting the words to describe your invention using synonyms.

3. Review 3. Go over the CPC Classification Definition to verify the accuracy of the CPC classification that you have found. If the selected classification title has a blue box that contains “D”, then the link to the CPC classification definition will be provided. CPC classification definitions will aid you in determining the classification’s boundaries so that you can select the one that is most appropriate. These definitions may also include search tips or other suggestions that can be useful for further study.

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7. Locate additional US patents by keyword search in AppFT or PatFT databases, classification search of non-U.S. patents as per below, and searching non-patent patent disclosures in the literature of inventions using web search engines. For example:

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