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Title: The Innovative Contributions of Shigeru Koumoto
Introduction
Shigeru Koumoto, an accomplished inventor based in Tokyo, Japan, holds an impressive portfolio of 25 patents. His work predominantly focuses on advanced technologies for analyzing time series data, making significant contributions to the field of event monitoring and periodicity analysis.
Latest Patents
Koumoto's recent inventions reflect his expertise in data analysis. One of his latest patents is the "Periodicity Analysis Apparatus, Method, and Program Recording Medium." This invention provides an apparatus designed to calculate the periodicity of time series data by utilizing periodograms and autocorrelations. It generates subsequences from the data, calculates feature values, and categorizes these subsequences into groups for comprehensive analysis.
Another noteworthy patent is the "Event Monitoring Apparatus, Method, and Program Recording Medium." This apparatus similarly calculates periodicity and generates subsequences, focusing on finding missing events by identifying subsequences that should occur based on established periodicity but are not yet found.
Career Highlights
Throughout his career, Shigeru Koumoto has significantly impacted the technology sector. He has worked with prominent companies, including NEC Corporation and Renesas Electronics Corporation, where he contributed to pioneering projects and developed innovative technological solutions that have applications across various industries.
Collaborations
In his journey as an inventor, Koumoto has collaborated with notable professionals, including Ryota Suzuki and Masahiko Ishida. These collaborations have allowed him to enhance his research and enhance the quality of the innovations produced.
Conclusion
Shigeru Koumoto stands out as a leading inventor in the realm of data analysis technologies. His 25 patents exemplify his commitment to innovation and his ability to produce effective solutions to complex technical challenges. With his ongoing work, it will be exciting to see how his contributions will influence future developments in data monitoring and analysis.