Company Filing History:
Years Active: 2003-2006
Title: John Michael Earley: Innovator in Performance Metrics
Introduction
John Michael Earley is a notable inventor based in Amherst, NH (US). He has made significant contributions to the field of performance metrics through his innovative patents. With a total of 2 patents, Earley has developed systems and methods that enhance the monitoring and analysis of performance metrics.
Latest Patents
Earley's latest patents include a "System and methods for adaptive threshold determination for performance metrics." This invention describes a system and method for dynamically generating alarm thresholds for performance metrics. It utilizes statistical methods to create thresholds for metrics that may not conform to a Gaussian distribution or exhibit cyclic behavior. The methods employed include statistical process control (SPC) techniques, normalization methods, and heuristics.
Another significant patent is the "System and method for monitoring performance metrics." This invention outlines a system for monitoring a set of performance metrics, incorporating metric correlation and grouping methods. These methods analyze temporally related metrics and correlate pairs within the group. Rank correlation techniques are utilized for this correlation, and a dynamic correlation pair graph is employed to group metrics while preserving their relationships.
Career Highlights
Throughout his career, John Michael Earley has worked with several companies, including Altaworks Corporation and Opnet Technologies, Inc. His experience in these organizations has contributed to his expertise in performance metrics and related technologies.
Collaborations
Earley has collaborated with notable individuals in his field, including John J McGee and David M Heath. These collaborations have likely enriched his work and expanded the impact of his inventions.
Conclusion
John Michael Earley is a distinguished inventor whose work in performance metrics has led to valuable innovations. His patents reflect a deep understanding of statistical methods and their application in real-world scenarios. His contributions continue to influence the field and enhance the monitoring of performance metrics.