Company Filing History:
Years Active: 2005-2007
Title: Innovations by Alain Arnaud
Introduction
Alain Arnaud is a notable inventor based in Newton, MA (US). He has made significant contributions to the field of data processing and state machine design. With a total of 2 patents, his work focuses on optimizing memory usage and enhancing the speed of data stream pattern recognition.
Latest Patents
One of Alain's latest patents is titled "Method of generating of DFA state machine that groups transitions into classes in order to conserve memory." This innovative method involves generating look-up tables for a high-speed multi-bit Real-time Deterministic Finite state Automaton (RDFA). The process begins with a DFA generated according to prior art, where an n-closure list is created for each state, followed by the generation of an alphabet transition list. The transitions are then grouped into classes, resulting in a state machine with fewer states than the original DFA.
Another significant patent is "High speed data stream pattern recognition." This system and method determine in real-time which portions of a character stream satisfy predetermined regular expressions. The RDFA ensures that characters are processed at high speeds with minimal memory requirements. An optimized state machine models the regular expressions, and characters are processed in parallel to determine state transitions until the regular expression is satisfied.
Career Highlights
Alain Arnaud is currently employed at Safenet, Inc., where he continues to innovate in the field of data processing. His work has been instrumental in developing efficient algorithms that enhance the performance of data systems.
Collaborations
Alain has collaborated with notable colleagues, including Daniel Wyschogrod and David Eric Berman Lees. Their combined expertise has contributed to the advancement of technologies in their field.
Conclusion
Alain Arnaud's contributions to the field of data processing and state machine design highlight his innovative spirit and dedication to enhancing technology. His patents reflect a commitment to improving efficiency and performance in data systems.