Company Filing History:
Years Active: 1999-2011
Title: Akihiko Nakase: Innovator in Data Division and Spatial Analysis
Introduction
Akihiko Nakase is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the fields of data division and spatial data analysis. With a total of 8 patents to his name, Nakase's work has advanced the understanding and application of multi-dimensional data processing.
Latest Patents
Among his latest patents are the "Data division apparatus, data division method and program" and the "Spatial data analysis apparatus and spatial data analysis method." The data division apparatus is designed to efficiently divide multi-dimensional data using a series of innovative components, including a data input unit, division plane candidate creator, and evaluation value calculator. This invention aims to generate clusters from multi-dimensional data and select the optimal division plane for analysis.
The spatial data analysis apparatus, on the other hand, focuses on organizing and analyzing records with multi-dimensional spatial attributes. It includes a storage unit for records, a divider for creating virtual record groups, and a calculator for assessing spatial dispersion. This apparatus allows for a recursive division of data to determine the most effective conditions for analysis.
Career Highlights
Akihiko Nakase is associated with Kabushiki Kaisha Toshiba, a leading technology company known for its innovative solutions. His work at Toshiba has allowed him to explore and develop advanced technologies that address complex data challenges.
Collaborations
Throughout his career, Nakase has collaborated with notable colleagues, including Shigeru Oyanagi and Mitsuru Kakimoto. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Akihiko Nakase's contributions to data division and spatial analysis exemplify the impact of innovative thinking in technology. His patents reflect a commitment to advancing the field and improving data processing methodologies.