This inventor holds 1 USPTO granted patent. Top assignee: Kao Corporation. Active years: 1994.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1994
Title: Junichi Nakamura: Innovator in Liquid Layer Detection
Introduction
Junichi Nakamura is a notable inventor based in Wakayama, Japan. He has made significant contributions to the field of liquid layer detection, particularly in systems where multiple liquids are present. His innovative approach addresses challenges faced in high-temperature and high-pressure environments.
Latest Patents
Nakamura holds a patent for a "Method of detecting a layer level condition." This method allows for the detection of the condition of a liquid layer level when multiple liquids are layered. It is capable of accurately determining each layer's condition, even in adverse conditions such as high temperature, pressure, or significant dirt and emulsification. The method utilizes measurement values of temperatures and other parameters, which are processed through a neurocomputer to create an input-output model. This model enables the proper detection of layer conditions under challenging circumstances.
Career Highlights
Nakamura is associated with Kao Corporation, a leading company in the field of consumer products and chemicals. His work has been instrumental in advancing technologies related to liquid detection and management.
Collaborations
Nakamura has collaborated with notable colleagues, including Yoshifumi Torimoto and Keiichi Tsuto. Their combined expertise has contributed to the development of innovative solutions in their field.
Conclusion
Junichi Nakamura's contributions to liquid layer detection exemplify the importance of innovation in addressing complex challenges. His work continues to influence advancements in technology and industry practices.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
