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The articles of the Institute's scientists are included in the materials of the COIA conference
31.07.2018 09:25
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The articles of the Institute's scientists are included in the materials of the COIA conference

An article "Some issues of application of internet things in the oil and gas complex"  co-authored by the academician-secretary of ANAS, director of the Institute of Information Technology academician Rasim Alguliev, deputy director of the institute Shakir Mehdiyev and head of the institute department Tahmasib Fataliyev, has been published among the materials of  “The 6th International Conference on Control and Optimization of Industrial Applications” (COIA) conference held in Baku in July 11-13, 2018 with the support of IEEE.

On July 11-13, 2018, the article “Application of the Internet of Things in Oil-Gas Industry” co-authored by Technical Director of the Institute of Information Technology of ANAS, PhD in Technical Sciences, Associate Professor Rashid Alakbarov and PhD in Technical Sciences Mammad Hashimov, and the article“Selection issues of cloudlets in mobile cloud computing” which was co-authored by R. Alakbarov and chief specialist of the institute Ogtay Alakbarovwere included to the conference materials of  “The 6th International Conference on Control and Optimization with Industrial Applications (COIA)” whichwas held in Baku with the support of IEEE.

In an article titled "Application of the Internet of Things in Oil and Gas Industry," an architectura based on the Internet of Things Technology has been proposed for easy, secure, reliable, and fast data collection from oil and gas industry sensors. The issues of data collection via sensors, improvement of safety of oil platforms (fields) in oil and gas industry, optimization of operations, prevention of problems, elimination of errors and creation of new opportunities for reducing operating costs were investigated.In the article titled “Selection issues of cloudlets in mobile cloud computing” the problems that emerged during the benefits and use of mobile cloud technologies were analyzed. The main indicators affecting the efficient use of cloud services in mobile computing clouds were analyzed.

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