Fountain Hill, AZ, United States of America

Kevin Buettner


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 29(Granted Patents)


Company Filing History:


Years Active: 2000

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1 patent (USPTO):Explore Patents

Title: Kevin Buettner: Innovator in Data Compression Technology

Introduction

Kevin Buettner is a notable inventor based in Fountain Hill, AZ (US). He has made significant contributions to the field of data compression and decompression. His innovative methods have the potential to enhance the efficiency of data representation in various applications.

Latest Patents

Kevin Buettner holds a patent for "Methods for data compression and decompression using digitized topology." This patent describes a method that provides digitized topology data of a collection of segments connected via nodes. The method forms at least one composite line representing a chain of connected segments, which reduces the overall number of lines needed to represent the collection. Each composite line has two endpoints at known coordinates, resulting in the compression of the topology data. The method further represents each composite line by its respective endpoint coordinates. Additionally, it enrolls each composite line into one of at least two sets of composite lines to minimize the number of intersections between them. Finally, the method reconstructs the nodes at decompression time by calculating the coordinates of intersecting composite lines belonging to different sets.

Career Highlights

Kevin Buettner is currently employed at Motorola Corporation, where he continues to develop innovative technologies. His work focuses on improving data handling and representation, which is crucial in today's data-driven world.

Collaborations

Some of his notable coworkers include Leslie Gabor Seymour and Sam M Daniel. Their collaboration has likely contributed to the advancement of technology within their field.

Conclusion

Kevin Buettner's contributions to data compression technology exemplify the importance of innovation in enhancing data efficiency. His patent reflects a significant advancement in the field, showcasing his expertise and commitment to technological progress.

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