Shuji Shinohara

Title: Shuji Shinohara: Innovator in Prediction and Information Processing Technologies

Introduction

Shuji Shinohara is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the fields of prediction apparatus and information processing technologies. With a total of 4 patents, his work reflects a deep understanding of causality and data analysis.

Latest Patents

One of his latest patents is a prediction apparatus, method, and program that constructs a regression model reflecting the causality between variations of an explanatory variable and a response variable. This apparatus predicts characteristic values of a product using process data obtained from a production facility. It includes a process data acquisition unit that reads data from a storage device and a prediction model generation unit that creates a prediction model based on causality information. The model learns features of the process data and determines the variation direction of the response variable based on the explanatory variable.

Another notable patent is an information processing apparatus, method, and program designed to evaluate a depression state more easily. This invention includes means for inputting voice data, acquiring time-series data of sound pressure, and obtaining a Sound Pressure Change acceleration index. This index is based on forces toward and away from the center of the acquired sound pressure data.

Career Highlights

Shuji Shinohara has worked with notable organizations such as Pst Corporation, Inc. and The University of Tokyo. His experience in these institutions has allowed him to develop innovative technologies that address real-world challenges.

Collaborations

Throughout his career, Shinohara has collaborated with esteemed colleagues, including Shunji Mitsuyoshi and Yasuhiro Omiya. These partnerships have contributed to the advancement of his research and inventions.

Conclusion

Shuji Shinohara's work in prediction and information processing technologies showcases his innovative spirit and dedication to improving data analysis methods. His contributions continue to influence the field and inspire future advancements.