Colorado Springs, CO, United States of America

John J Sinnott


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2004

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1 patent (USPTO):Explore Patents

Title: John J Sinnott: Innovator in Data Acquisition Technology

Introduction

John J Sinnott is a notable inventor based in Colorado Springs, CO (US). He has made significant contributions to the field of data acquisition technology. With a focus on improving the efficiency of data sampling, Sinnott has developed innovative solutions that address key challenges in the industry.

Latest Patents

Sinnott holds a patent for an "Acquisition unit and method for infrequent capturing of data samples with associated timing information." This invention introduces a data acquisition circuit and method that inserts overflow states into a data storage unit among samples of input data and associated time tags. The overflow states enable multiple overflows of the time tags without the need to store intervening samples of input data, allowing for the infrequent capture of samples while maintaining accurate timing data. This innovation also eliminates the necessity of storing an overflow status flag with each sample, streamlining the data storage process. He has 1 patent to his name.

Career Highlights

Sinnott is currently employed at Agilent Technologies, Inc., where he continues to work on advancing data acquisition technologies. His role at the company allows him to apply his expertise in developing innovative solutions that meet the needs of various industries.

Collaborations

Throughout his career, Sinnott has collaborated with talented individuals, including coworkers Adrian M Hernandez and John D Hansen. These collaborations have contributed to the development of cutting-edge technologies in the field.

Conclusion

John J Sinnott is a distinguished inventor whose work in data acquisition technology has made a significant impact. His innovative patent demonstrates his commitment to improving data sampling methods, and his contributions continue to influence the industry.

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