Company Filing History:

17 out of 33,404

Seiko Epson Corporation

Japan Display West Inc.

patents

Years Active: 2000-2022

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19 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11472175 - Failure time estimation device, machine learning device, and failure time estimation method (2022-10-18),

2. 11210046 - Printer, machine learning device, and machine learning method (2021-12-28),

3. 11165915 - Printer, learning device, and learning method (2021-11-02),

4. 10750048 - Printing apparatus and control method of printing apparatus including a carriage configured to mount a print head and a camera for capturing an image of a chart printed on a transported print medium (2020-08-18),

5. 8471986 - Electro-optical device and electronic apparatus comprising an address line (2013-06-25),

6. 8064028 - Method for manufacturing electro-optical device wherein an electrostatic protection circuit is shielded by a light-shielding sheet that is separate and apart from the electro-optical device (2011-11-22),

7. 7697656 - Shift register, method of controlling the same, electro-optical device, and electronic apparatus (2010-04-13),

8. 7515134 - Bidirectional shift register (2009-04-07),

9. 7245330 - Electrooptic device, liquid crystal device, and projection display device with line defects (2007-07-17),

10. 6927088 - Electrooptical substrate device and manufacturing method for same, electrooptical apparatus, electronic apparatus and manufacturing method for a substrate device (2005-08-09),

11. 6750836 - Liquid crystal panel and manufacturing method for the same (2004-06-15),

12. 6750476 - Substrate device manufacturing method and substrate device, electrooptical device manufacturing method and electrooptical device and electronic unit (2004-06-15),

13. 6605827 - Electrooptical substrate device and manufacturing method for same, electrooptical apparatus, electronic apparatus and manufacturing method for a substrate device (2003-08-12),

14. 6593626 - Electro-optical device, method for making the same, and electronic apparatus (2003-07-15),

15. 6403395 - Electro-optical device, method for making the same, and electronic apparatus (2002-06-11),

Title: Shigenori Katayama: Innovator in Printer Technology

Introduction

Shigenori Katayama is an accomplished inventor based in Okaya, Japan, renowned for his significant contributions to printer technology. With a total of 19 patents to his name, Katayama has demonstrated a consistent ability to innovate and enhance the efficiency of printing systems through groundbreaking inventions.

Latest Patents

Among his latest inventions are a series of patents focused on failure time estimation in printers and machine learning applications. One of his patents, the "Failure Time Estimation Device," involves a memory component that stores a machine-learned model based on teaching data about printer operation, state information, and print results. This model enables the device to predict the printer's failure time accurately.

Another notable patent is the "Printer, Machine Learning Device, and Machine Learning Method," which details a printer that uses a machine-learned model to identify the type of print medium based on various factors, such as reflectance and transmittance of the material, along with captured images. These innovations highlight Katayama's focus on integrating machine learning to improve printing technologies.

Career Highlights

Shigenori Katayama has held key positions in notable organizations such as Seiko Epson Corporation and Sony Corporation. His tenure at these prestigious companies has equipped him with the experience and knowledge necessary to push the boundaries of printer technology.

Collaborations

During his career, Katayama has collaborated with esteemed colleagues, including Masahiro Yasukawa and Tetsuo Tatsuda. These partnerships have undoubtedly contributed to the richness of his work and the successful development of his innovative patents.

Conclusion

Shigenori Katayama stands as a pivotal figure in the realm of printer technology. His 19 patents, encompassing advanced methods for failure time estimation and machine learning applications, exemplify his dedication to innovation. As he continues to push the boundaries, Katayama’s contributions will undoubtedly influence the future of printing systems and technologies.

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