Abstract: The personalized systems are used in monitor and supervise processes. Using the data stored for the daily behavior, the system is design 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 adapts during learning of the state using the acquired data.
This paper wants to present a series of adaptive systems and their methods for diagnosis and monitoring performance.

Brief Biography of the Speaker:
Mrs. Mihaela Hnatiuc is a lecturer at Constanta Maritime University, Romania, Faculty of Naval Electromechanically, Department of Electronics.
She graduated "Gh. Asachi" Technical University of Iasi, Faculty of Telecommunications and Electronics, Romania, in 1995. Mrs. Hnatiuc has master degree and PhD. in electronics at "Gh. Asachi" Technical University of Iasi, Romania. The Master field is Artificial Intelligence and Bioengineering.
Mrs. Hnatiuc, has research competences in microcontrollers, intelligent sensors, fuzzy system and neural network.
Author of 2 books and 25 papers published in journals, conferences and book chapter and 1 patent in France, member of 5 researches projects, manager of 2 international grants and the member organizer of 7 conferences.
Member in scientific committees and chairman at national and international conferences.
From 2001 to 2007 Mrs. Hnatiuc worked as researcher and designer engineering in Iasi, Romania and since then lecturer at Constanta Maritime University, Romania. She has developed the intelligent system for the elders and disabilities person, and tested the different classification algorithms for the signature person identification.