The Systems Personalization with Hardware and Software Methods

摘要

The personalized systems are used in monitoring and supervise processes. Using the data stored for the daily behavior, the system is designed for certain pattern. If there is the possibility of abnormally activity, meaning the collected data are not in normal limits, system warns that there is an abnormally conducted process. An abnormal condition can become normal if they occur repeatedly every day. The system is adapted during learning using the acquired data. This paper wants to present a series of adaptive systems and their methods for diagnosis and monitoring performance.