Tokyo, Japan

Kazu Kitagawa


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Kazu Kitagawa: Innovator in Analysis Systems

Introduction

Kazu Kitagawa is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of analysis systems, particularly through his innovative patent. His work focuses on enhancing the understanding and classification of noise through advanced technological methods.

Latest Patents

Kazu Kitagawa holds a patent for a "System, device, method, and program for analysis." This analysis system includes inference processor circuitry that infers a corresponding classification by inputting part of frequency spectrum data corresponding to reference measurement data into a learned model. The model has learned the relationship between part of frequency spectrum data corresponding to sample measurement data and a classification related to noise. Additionally, the system features causal component identification processor circuitry that identifies causal component data of noise from a component data list based on the inferred classification. Furthermore, a presentation information generator is included, which generates presentation information for a user based on the causal component data. This innovative approach has the potential to significantly improve noise analysis.

Career Highlights

Kazu Kitagawa is associated with Toyo Corporation, where he applies his expertise in developing advanced analysis systems. His work at the company has positioned him as a key player in the field of technological innovation.

Collaborations

Kazu collaborates with talented individuals such as Congbing Li and Nozomu Miura. Their combined efforts contribute to the advancement of analysis technologies and foster a collaborative environment for innovation.

Conclusion

Kazu Kitagawa is a notable inventor whose work in analysis systems showcases his commitment to technological advancement. His patent reflects a deep understanding of noise classification and analysis, marking him as a significant figure in his field.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…