Company Filing History:
Years Active: 2008
Title: Innovations of Ronald A Pawlowski
Introduction
Ronald A Pawlowski is an accomplished inventor based in West Richland, WA (US). He has made significant contributions to the field of technology, particularly in the area of operating systems. His innovative approach has led to the development of a unique method for predicting the remaining service life of these systems.
Latest Patents
Ronald A Pawlowski holds a patent for a "Method and apparatus to predict the remaining service life of an operating system." This invention involves a computer-based apparatus designed to monitor the degradation of an operating system. It predicts the remaining service life and assists in planning maintenance. The method utilizes diagnostic information obtained through the measurement of performance characteristics by sensors located onboard or near the operating system. The invention emphasizes the importance of validating sensor data to enhance the accuracy and reliability of service life predictions. The degradation condition is presented to users through calculated numeric figures of merit, which are trended against independent variables using various mathematical techniques. This innovative approach allows for multiple trendlines and uncertainty intervals to be generated, ultimately predicting the remaining service life of the operating system.
Career Highlights
Ronald A Pawlowski is associated with the Battelle Memorial Institute, where he has contributed to various projects and research initiatives. His work has been instrumental in advancing the understanding of operating system maintenance and longevity.
Collaborations
Some of his notable coworkers include Frank L Greitzer and Lars J Kangas, who have collaborated with him on various projects within the Battelle Memorial Institute.
Conclusion
Ronald A Pawlowski's innovative contributions to the field of operating systems demonstrate his expertise and commitment to advancing technology. His patent reflects a significant step forward in predicting system longevity and enhancing maintenance strategies.