Osaka, Japan

Hirokazu Yanai

USPTO Granted Patents = 7 

Average Co-Inventor Count = 1.1

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2013-2014

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7 patents (USPTO):Explore Patents

Title: Hirokazu Yanai: Innovator in Data Point Distribution Methods

Introduction

Hirokazu Yanai is a prominent inventor based in Osaka, Japan. He has made significant contributions to the field of data analysis and representation. With a total of 7 patents to his name, Yanai's work focuses on innovative methods for identifying data point distribution areas on coordinate planes.

Latest Patents

Yanai's latest patents include an identification method of data point distribution area on a coordinate plane and a recording medium. This method involves dividing an area on the coordinate plane into smaller sections that radiate from a central point. In each section, a data point that is farthest from the center is selected as a representative point. The method also determines overlapping areas between distribution representative points and a determination area, allowing for the identification of relevant data groups. Another patent describes a similar identification method that uses lines to divide the coordinate plane into sections, selecting outermost data points as representatives and defining distribution areas based on comparisons with reference areas.

Career Highlights

Hirokazu Yanai is currently employed at Ricoh Company, Ltd., where he continues to develop innovative solutions in data analysis. His work has been instrumental in advancing the understanding of data point distributions, which is crucial for various applications in technology and research.

Collaborations

Yanai collaborates with Junichi Konishi, a fellow innovator, to further enhance their research and development efforts in the field.

Conclusion

Hirokazu Yanai's contributions to the field of data analysis through his innovative patents demonstrate his expertise and commitment to advancing technology. His work continues to influence the way data is understood and utilized in various applications.

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