Tokyo, Japan

Takeo Hidaka

USPTO Granted Patents = 3 

Average Co-Inventor Count = 1.8

ph-index = 2

Forward Citations = 39(Granted Patents)


Company Filing History:


Years Active: 2002-2022

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Takeo Hidaka: Innovator in Classification Technology

Introduction

Takeo Hidaka is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of classification technology, holding a total of 3 patents. His work focuses on developing systems that enhance the efficiency and accuracy of data classification.

Latest Patents

Hidaka's latest patents include a classification computer, a classification method, and a recording medium. The classification computer is designed to classify a current waveform of electricity supplied to an electric instrument, even when the operation mode is unknown. It features a first classification unit that performs initial classification based on waveform information, a second classification unit that classifies based on on/off information, and a third classification unit that integrates the results of the first two classifications. Additionally, he has developed a network management system that allows for efficient management of image files stored on a hard disk, facilitating easy access and retrieval by client terminals.

Career Highlights

Throughout his career, Takeo Hidaka has worked with notable companies such as Seiko Epson Corporation and Disco Corporation. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in the technology sector.

Collaborations

Hidaka has collaborated with talented individuals in his field, including Shinji Hirabayashi and Kazuma Sekiya. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.

Conclusion

Takeo Hidaka's contributions to classification technology demonstrate his innovative spirit and dedication to advancing the field. His patents reflect a commitment to improving the efficiency of data management systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…