Company Filing History:
Years Active: 2006-2007
Title: Innovations by Daniel T Gottuk
Introduction
Daniel T Gottuk is an accomplished inventor based in Ellicott City, MD (US). He has made significant contributions to the field of multi-criteria event detection and fire detection systems. With a total of 2 patents, his work showcases the integration of advanced technology in safety systems.
Latest Patents
Gottuk's latest patents include a "Probabilistic Neural Network for Multi-Criteria Event Detector." This invention involves a multi-criteria event detection system that utilizes a variety of sensors to detect specific characteristics of events. The system processes outputs from these sensors through a probabilistic neural network, which employs a nonlinear, non-parametric pattern recognition algorithm. This algorithm is designed to differentiate between various data sets, including baseline, event, and nuisance data, ultimately providing decisive outputs regarding the presence of an event.
Another notable patent is "Identification of Fire Signatures for Shipboard Multi-Criteria Fire Detection Systems." Similar to his previous work, this system comprises multiple sensors capable of detecting fire signatures. The processor, again utilizing a probabilistic neural network, analyzes the sensor outputs to determine the presence of a fire, distinguishing it from non-fire or nuisance situations.
Career Highlights
Daniel T Gottuk is currently associated with the USA as represented by the Secretary of the Navy. His work in developing advanced detection systems has been instrumental in enhancing safety protocols in various environments.
Collaborations
Gottuk has collaborated with notable colleagues, including Susan L Rose-Pehrsson and Sean J Hart. Their combined expertise has contributed to the success of their innovative projects.
Conclusion
Daniel T Gottuk's contributions to the field of event detection and fire safety systems highlight his innovative spirit and dedication to enhancing safety through technology. His patents reflect a commitment to advancing detection methodologies, making significant strides in the industry.
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