This inventor holds 1 USPTO granted patent, plus 2 CIPO patents. Top assignee: Other. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: Innovations by Jessica Mcara
Introduction
Jessica Mcara is an accomplished inventor based in Kelowna, Canada. She has made significant contributions to the field of aviation technology. Her innovative approach has led to the development of a unique patent that enhances the tracking of aircraft.
Latest Patents
Jessica holds a patent for a "Method and system for tracking distance travelled by aircraft." This invention provides a method and system for encoding and compressing real-time GPS location data collected by a transceiver unit mounted in an aircraft. The system is designed for transmitting the data and receiving it at a ground station configured for decoding. Data can be sampled at one-second intervals, encoded, and transmitted in data packets at longer timed intervals. The encoding method utilizes information about the operating characteristics of the aircraft to reduce the number of bits required for the data packets. Multiple encoding schemes can be used to compare in real-time to select the most efficient method of encoding on a packet-by-packet basis. Jessica's innovative work in this area has the potential to improve the efficiency and accuracy of aircraft tracking.
Career Highlights
Throughout her career, Jessica has demonstrated a strong commitment to advancing technology in aviation. Her work has not only contributed to her field but has also set a standard for future innovations. With her patent, she has established herself as a key player in the industry.
Collaborations
Jessica has collaborated with talented individuals such as Malachi Nordine and Michael Regehr. These partnerships have allowed her to enhance her projects and bring innovative ideas to fruition.
Conclusion
Jessica Mcara is a pioneering inventor whose work in aircraft tracking technology showcases her innovative spirit and dedication to improving aviation systems. Her contributions are significant and will likely influence future developments in the field.