Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Vladimir Kuts"'
Publikováno v:
Proceedings of the Estonian Academy of Sciences, Vol 73, Iss 2, Pp 142-149 (2024)
The current digital transformation in manufacturing has a strong impact on the competencies needed by manufacturing companies. This leads to evolving requirements for digital training in industrial engineering courses. The concept of virtual labs in
Externí odkaz:
https://doaj.org/article/09bc705ddc664700ac364fc12184f85b
Autor:
Anton Rassolkin, Viktor Rjabtsikov, Vladimir Kuts, Toomas Vaimann, Ants Kallaste, Bilal Asad, Andriy Partyshev
Publikováno v:
IEEE Access, Vol 10, Pp 15635-15643 (2022)
The concept of Digital Twin is creating and maintaining a digital representation of the real physical entity and supporting its performance utilizing simulation and optimization tools, which are fed with the real data obtained from the physical equip
Externí odkaz:
https://doaj.org/article/91bad27bc44141268a57b53fd432a688
Publikováno v:
Proceedings of the Estonian Academy of Sciences, Vol 70, Iss 4, Pp 436-443 (2021)
Autonomous systems and collaborative robotics are part of the pillar technologies of the Industry 4.0 (I4.0) paradigm. These include advanced simulations, Digital Twins (DTs) and novel Human Machine Interfaces (HMIs). The increasing development of th
Externí odkaz:
https://doaj.org/article/4a662bd61e3c404a93df32e3e7d180be
Publikováno v:
Proceedings of the Estonian Academy of Sciences, Vol 70, Iss 4, Pp 392-398 (2021)
As autonomous vehicle development continues at growing speeds, so does the need to optimize, diagnose, and test various elements of autonomous systems under different conditions. Since such processes should be carried out in parallel, it may result i
Externí odkaz:
https://doaj.org/article/abc3a0f530bd4ce89c0e7922be2df785
Autor:
Giorgio Colombo, Geza Heidegger, Peter Kovacs, Vladimir Kuts, Kashif Mahmood, Gianfranco E. Modoni, Tauno Otto, Johan Stahre, Walter Terkaj, Marcello Urgo
Publikováno v:
Proceedings of the Estonian Academy of Sciences, Vol 70, Iss 4, Pp 374-382 (2021)
The growing relevance of digitalization in production requires the enhancement of human skills and competences in the field of Information and Communication Technology (ICT). Higher education has to cope with this need by providing the necessary ICT
Externí odkaz:
https://doaj.org/article/83c5f6d29798467798b9679c81641d97
Autor:
Anton Rassõlkin, Tamás Orosz, Galina Lvovna Demidova, Vladimir Kuts, Viktor Rjabtšikov, Toomas Vaimann, Ants Kallaste
Publikováno v:
Proceedings of the Estonian Academy of Sciences, Vol 70, Iss 1, Pp 19-39 (2021)
Reference implementation of Digital Twins for electrical energy conversion systems is an important and open question in the industrial domain. Digital Twins can predict the future performance, behaviour, and maintenance needs of a complex system. Tod
Externí odkaz:
https://doaj.org/article/7b9c62868712472e86b7bc670c9437d1
Autor:
Vladimir Kuts, Jeremy A. Marvel, Murat Aksu, Simone L. Pizzagalli, Martinš Sarkans, Yevhen Bondarenko, Tauno Otto
Publikováno v:
Robotics, Vol 11, Iss 5, p 113 (2022)
The adoption of Digital Twin (DT) solutions for industrial purposes is increasing among small- and medium-sized enterprises and is already being integrated into many large-scale companies. As there is an increasing need for faster production and shor
Externí odkaz:
https://doaj.org/article/fbcd8934f13842a48b9063b2e49b87fc
Autor:
Vladimir Kuts, Gianfranco E. Modoni, Tauno Otto, Marco Sacco, Toivo Tähemaa, Yevhen Bondarenko, Ruxin Wang
Publikováno v:
Proceedings of the Estonian Academy of Sciences, Vol 68, Iss 4, Pp 364-370 (2019)
Digital twin (DT) is the virtual clone of a factory representing its static and dynamic aspects (e.g., processes, systems, products, etc.) in detail. Among the significant challenges that manufacturing company has to face to implement the DT, one of
Externí odkaz:
https://doaj.org/article/89b66b6661b4462aadddacbb00997a18
Autor:
Maulshree Singh, Rupal Srivastava, Evert Fuenmayor, Vladimir Kuts, Yuansong Qiao, Niall Murray, Declan Devine
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5727 (2022)
One of the most promising technologies that is driving digitalization in several industries is Digital Twin (DT). DT refers to the digital replica or model of any physical object (physical twin). What differentiates DT from simulation and other digit
Externí odkaz:
https://doaj.org/article/bef74a4da2874c03b36f4b076560e382
Publikováno v:
Procedia Computer Science. 217:446-455