Location History:
- Kanagawa, JP (2019 - 2021)
- Yokohama, JP (2021 - 2024)
Company Filing History:
Years Active: 2019-2025
Title: Shigeru Maya: Innovator in Time Series Analysis and State Estimation
Introduction
Shigeru Maya is a prominent inventor based in Kanagawa, Japan. He has made significant contributions to the fields of data analysis and state estimation, holding a total of 7 patents. His innovative work focuses on developing methods that enhance the accuracy and efficiency of data processing.
Latest Patents
One of Shigeru Maya's latest patents is titled "Time series analysis using a shapelet learning method with area under the curve." This invention presents a time series data analysis method that involves generating multiple feature vectors based on distances from time series data sequences to feature waveforms. The method aims to improve classification models by updating feature waveforms based on performance indicators. Another notable patent is the "State estimation apparatus, method, and non-transitory computer readable medium." This invention provides an information processing apparatus designed to accurately estimate the state of equipment by acquiring data, calculating value distributions, and determining specific ranges for state estimation.
Career Highlights
Shigeru Maya has worked with notable companies such as Kabushiki Kaisha Toshiba and Toshiba Infrastructure Systems & Solutions Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and data analysis.
Collaborations
Shigeru has collaborated with talented individuals in his field, including Ken Ueno and Akihiro Yamaguchi. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Shigeru Maya's contributions to time series analysis and state estimation highlight his role as an influential inventor. His patents reflect a commitment to advancing technology and improving data processing methods.