Company Filing History:
Years Active: 2013
Title: The Innovative Mind of Christopher I Conner
Introduction
Christopher I Conner is a notable inventor based in Silver Spring, MD (US). He has made significant contributions to the field of magnetic anomaly detection through his innovative patent. His work focuses on enhancing the accuracy of vehicular magnetic self-noise reduction, which is crucial for various applications.
Latest Patents
Christopher I Conner holds a patent titled "Algorithmic reduction of vehicular magnetic self-noise." This invention addresses the challenges associated with removing extraneous magnetic measurement components from magnetic anomaly detection (MAD). The conventional methods typically assume that the magnetic field affecting the MAD vehicle is the earth's magnetic field, which is non-anomalous and known. However, Conner's invention takes into account both the anomalous magnetism of the MAD vehicle and the surrounding environment, such as a manned control vehicle. His mathematical characterization of vehicular 'self-noise' is more refined, treating the vehicle's ambient magnetic field as an unknown empirical quantity. This innovative system includes magnetic and other sensors, along with a computer that implements the mathematical characterization to process the signals effectively.
Career Highlights
Conner's career is marked by his dedication to advancing technology in the field of magnetic anomaly detection. His work has been recognized for its potential to improve the accuracy of detection systems, which can have significant implications for various industries.
Collaborations
Throughout his career, Christopher I Conner has collaborated with esteemed colleagues, including John J Holmes and Donald E Pugsley. These collaborations have contributed to the development and refinement of his innovative ideas.
Conclusion
Christopher I Conner's contributions to the field of magnetic anomaly detection exemplify the impact of innovative thinking in technology. His patent reflects a deep understanding of the complexities involved in vehicular magnetic self-noise reduction. Through his work, Conner continues to pave the way for advancements in this critical area.