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Round table “Partnerships between Russian and Japanese universities, enterprises and local authorities”

September 25, 2020 SibIASA Scientific Supervisor Eugene Semenkin and Institute Senior Researcher Shahnaz Akhmedova took part in the round table ‘Partnerships between Russian and Japanese universities, enterprises and local authorities. Exchange of advanced experience in training specialists for different regions’. The round table was organized by the flagship university of the Altai Territory jointly with the Hokkaido University under the auspices of the Association of Russian and Japanese universities and the Association of Asian Universities, and was conducted online. The meeting was attended by over 100 people, including teachers, employees of Russian and Japanese universities, companies, and local and central authorities from Japan and Russia.

Roundtable record (youtube link)

Presentations (google drive link)

SibIASA is currently working on a joint Russian-Japanese project together with a research team from Aichi Prefectural University (Japan). On the side of SibIASA, the project manager is senior researcher Sh. A. Akhmedova Ph.D. The Japanese research group comprises the head of the Sensing Lab. at Aichi Prefectural University Professor Yukihiro Kamiya and undergraduate students (Naruya Inagaki, Ritsuki Kokubo, Taisuke Maji, Sohei Yamashita) and graduate students (Chiori Miyajima, Kazuki Harada,Takutoshi Yamada, Mikiya Yamada) working in this laboratory.

Within the scope of the project, intelligent information technologies are being developed that automatically extract knowledge from big data obtained by contactless sensors developed by Japanese colleagues. A fundamental scientific challenge is the analysis of data from the domain of low frequency signals. The use of contactless sensors enables measurements to be obtained, on the basis of which it is possible to predict failures of technical objects or determine the state of operators of complex systems, leading to an increase in their efficiency. However, most of the time, complex systems are in a normal mode of operation, as a result of which there is insufficient or no data on abnormal or emergency states of elements or the system as a whole. Thus, the task is to find and detect the data obtained by the sensors corresponding to the abnormal states of the system or its elements. At the same time, critical and non-critical anomalies should be distinguished since the first type can lead to negative economic effects.

The results of the conducted investigations were presented at three international conferences:

  1. «14th International Symposium on Medical Information Communication Technology (ISMICT)», г. Нара, Япония, 25-27 мая 2020 г.
  2. «8th International Workshop on Mathematical Models and their Applications», г. Красноярск, Российская Федерация, 18-21 ноября 2019 г.
  3. «8th International Congress on Advanced Applied Informatics», г. Тояма, Япония, 7-12 июля 2019 г.

Works appeared in publications indexed in Scopus and Web of Science databases. Moreover, the work presented at the conference ‘14th International Symposium on Medical Information Communication Technology (ISMICT)’ was selected as the best article (received the Best Paper Award) and chosen for publication in the journal.

Trips are being made to Aichi Prefectural University, during which lectures and seminars on computational intelligence for undergraduate and graduate students are held, and directions for future work are also discussed. There are plans to apply for a joint project to participate in a competition held by the Japan Society for the Promotion of Science.

List of joint publications:

  1. S. Akhmedova, D. Erokhin, V. Stanovov, C. Miyajima and Y. Kamiya, «Automatically Generated Neural Networks for Human Condition Detection Using Non-Contact Vital Sensing» // 2020 14th International Symposium on Medical Information Communication Technology (ISMICT), Nara, Japan, 2020, pp. 1-6, doi: 10.1109/ISMICT48699.2020.9152750.
  2. V. Stanovov, S. Akhmedova, Y. Kamiya, «Confidence-Based Voting for the Design of Interpretable Ensembles with Fuzzy Systems» // Algorithms 2020, 13, 86.
  3. V. Stanovov1, S. Akhmedova, Y. Kamiya, «Confidence-based Voting Procedure for Combining Fuzzy Systems and Neural Networks» // IOP Conference Series: Materials Science and Engineering, Volume 734, II International Scientific Conference “Advanced Technologies in Aerospace, Mechanical and Automation Engineering” – MIST: Aerospace – 2019 18–21 November 2019, Krasnoyarsk, Russia.
  4. S. Akhmedova, V. Stanovov, E. Semenkin, D. Erokhin, Y. Kamiya and C. Miyajima, «Automated Detection of Complex System Operator’s Condition by Using Non-Contact Vital Sensing» // 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI), Toyama, Japan, 2019, pp. 593-598, doi: 10.1109/IIAI-AAI.2019.00126.