Company Filing History:
Years Active: 2007-2025
Title: The Innovative Mind of Masato Utsumi
Introduction
Masato Utsumi is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of prediction and estimation systems, holding a total of 12 patents. His work focuses on developing advanced methodologies that enhance predictive accuracy and efficiency.
Latest Patents
Among his latest patents is a "Prediction System and Prediction Method." This system performs factor selection processing, which includes selecting one or more factors from a plurality of factors. It also involves factor filtering processing, determining whether a factor value for prediction is within a specified range, and excluding factors that do not meet the criteria. The system ultimately calculates the prediction value of the target by inputting relevant factor values into the prediction model.
Another notable patent is the "Estimation System and Estimation Method." This system generates multiple patterns of value transitions from a time series of an estimation object in the past. It specifies dependency relationships between transition patterns and factor values, identifying models based on these relationships. By inputting future factor values, the system can predict future values of the estimation object.
Career Highlights
Masato Utsumi has worked with renowned companies such as Hitachi, Ltd. and Fujiyama Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that push the boundaries of technology.
Collaborations
Throughout his career, Utsumi has collaborated with notable colleagues, including Tohru Watanabe and Ikuo Shigemori. These partnerships have fostered a creative environment that has led to groundbreaking advancements in his field.
Conclusion
Masato Utsumi's innovative contributions to prediction and estimation systems highlight his expertise and dedication to advancing technology. His patents reflect a deep understanding of complex systems and a commitment to improving predictive methodologies.