Work place: MSc, Allameh Tabatabaee University, Tehran, Iran, PhD Candidate, University of Tehran, Tehran, Iran
E-mail: farid_ftnk@yahoo.com
Website:
Research Interests: Business
Biography
Farid Tondnevis is PhD Candidate of Finance and has MSc in industrial Engineering (finance sub discipline) and BSc in Industrial Engineering. His research interests include financial risk management techniques and models based on Business intelligence approach and portfolio optimization (active and passive approaches).
By Ahmad Ghodselahi Mostafa Ghodselahi Farid Tondnevis
DOI: https://doi.org/10.5815/ijitcs.2018.02.07, Pub. Date: 8 Feb. 2018
Earthquake is the most dangerous natural disaster in the whole era of human being life. Scientist efforts for predicting earthquake have no prolific result, so far. The earth complexity and geology structures are the main obstacles of these efforts. The importance of time at the occurrence of the earthquake has resulted in using powerful systems for real-time alarming and therefore lessening the casualties of the earthquake. In this paper we have designed a rapid earthquake alarm system and we have implemented it in parallel processing and continuous processing. We have tried to apply hardware intelligent agents for real-time and parallel processing of data and data fusion of sensors. By applying this technology, the performance of rapid earthquake alarm system will be improved. Through this improvement, the rapid and automated action of rapid earthquake alarm system can lead to reducing the effect of earthquake.
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