Work place: University of Tehran, Tehran, Iran
E-mail: Ahmad.Ghodselahi@gmail.com
Website:
Research Interests: Computer systems and computational processes, Computational Learning Theory, Data Mining, Data Structures and Algorithms
Biography
Ahmad Ghodselahi is R&D consultant in Day bank. He earned his degree of MSc in information management from Tarbiat Modares University and PhD in management from university of Tehran. His field of research is strategic planning, marketing strategies, machine learning and data mining.
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.
[...] Read more.Subscribe to receive issue release notifications and newsletters from MECS Press journals