The teacher of RUDN University Political Economy Department Anna Verenikina attended the 7th International Conference on Industrial Technology and Management (ICITM 2018)
On the 7 — 9 of March the 7th International Conference of Industrial Technologies and Management ICITM 2018 was held in one of the oldest colleges of Oxford University, St. Anne’s College.
International Conference on Industrial Technology and Management is headed by the prestigious International Institute of Electrical and Electronics Engineers IEEE, which has 423,000 participants in 160 countries. The results of the conference automatically include into the scientific databases of Ei Compendex, the Elsevier research catalog on engineering and to the Scopus database.
This year participants of the
Many specialists recognize practice of Rusal on implementation of the environmental management system of the international standard ISO 14001 as the most successful in the Russian practice, where international environmental standards are often on the horizon of planning. The ecological infrastructure (commercial technologies and services for monitoring the air and water basin, eliminating the consequences of pollution and restoring ecosystems) and legislation are in a formative stage. Therefore, such giants as Rusal are working not only on their reputation in foreign markets, but also on changing the standards of domestic production.
Foreign participants of ICITM 2018 were especially interested in the issue of integrating the environmental management system into Industry 4.0 — a single concept of industrial production based on product lifecycle management and a smart manufacturing strategy involving the use of Internet: cloud computing and cybernetic systems.
RUDN scientist named neural networks that will help doctors interpret the results of an electroencephalogram (EEG) and other test of brain activity. The best of them works with almost 100% accuracy, while not only giving the result, but explaining why it turned out the way it did.
To obtain information about objects on the earth's surface and in near-Earth space, it is advisable to use not one, but several satellites. Such satellites move in different orbits, but operate as a whole. This allows us to increase the efficiency and accuracy of the obtained data but requires additional efforts to control the relative motion of satellites. RUDN engineers together with colleagues from Malaysia found a way to effectively control such formations of several satellites.
Ice rock, overnight in the mountains and 6100 meters above sea level... A scientist from the Agricultural Technological Institute went on an expedition to the Tien Shan.
RUDN scientist named neural networks that will help doctors interpret the results of an electroencephalogram (EEG) and other test of brain activity. The best of them works with almost 100% accuracy, while not only giving the result, but explaining why it turned out the way it did.
To obtain information about objects on the earth's surface and in near-Earth space, it is advisable to use not one, but several satellites. Such satellites move in different orbits, but operate as a whole. This allows us to increase the efficiency and accuracy of the obtained data but requires additional efforts to control the relative motion of satellites. RUDN engineers together with colleagues from Malaysia found a way to effectively control such formations of several satellites.