This inventor holds 1 USPTO granted patent. Top assignee: Hewlett-Packard Company. Active years: 1996.
Company Filing History:
Years Active: 1996
Title: Michael E. Sloane: Innovator in Automatic Language Boundary Identification
Introduction
Michael E. Sloane is a notable inventor based in Boise, ID (US). He has made significant contributions to the field of technology, particularly in the area of automatic language boundary identification for peripheral units. His innovative work has led to the development of a patent that enhances the functionality of devices that utilize multiple control languages.
Latest Patents
Sloane holds a patent for "Automatic language boundary identification for a peripheral unit." This invention allows a peripheral unit to receive various control languages and check for the occurrence of a control language job boundary. The patent outlines specific steps for determining when to check for job boundaries in both PCL and PostScript languages. For PCL, the process involves identifying the next command from the input data stream and determining if it meets certain criteria. For PostScript, the steps include prescanning the data stream to identify end-of-job markers and escape characters. This innovative approach ensures that the peripheral unit can function effectively in response to each control language.
Career Highlights
Michael E. Sloane is currently employed at Hewlett-Packard Company, where he continues to contribute to advancements in technology. His work has been instrumental in improving the efficiency and functionality of peripheral devices. Sloane's expertise in automatic language boundary identification showcases his commitment to innovation in the tech industry.
Collaborations
Throughout his career, Sloane has collaborated with talented individuals such as Russ Campbell and Daniel L. George. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Michael E. Sloane is a distinguished inventor whose work in automatic language boundary identification has made a significant impact on the technology sector. His contributions continue to influence the way peripheral units operate with multiple control languages.