Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Angkush Kumar Ghosh"'
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 7, Iss 5, p 159 (2023)
This paper presents a systematic approach to developing big data analytics for manufacturing process-relevant decision-making activities from the perspective of smart manufacturing. The proposed analytics consist of five integrated system components:
Externí odkaz:
https://doaj.org/article/8191c14bd96b4549857f2ba0902253f3
Autor:
Sharifu Ura, Angkush Kumar Ghosh
Publikováno v:
Sensors, Vol 21, Iss 21, p 7336 (2021)
Smart manufacturing employs embedded systems such as CNC machine tools, programable logic controllers, automated guided vehicles, robots, digital measuring instruments, cyber-physical systems, and digital twins. These systems collectively perform hig
Externí odkaz:
https://doaj.org/article/9d830267b06f4e9ea9af5e3601374b1e
Autor:
Angkush Kumar Ghosh, AMM Sharif Ullah, Akihiko Kubo, Takeshi Akamatsu, Doriana Marilena D’Addona
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 4, Iss 1, p 11 (2020)
Industry 4.0 requires phenomenon twins to functionalize the relevant systems (e.g., cyber-physical systems). A phenomenon twin means a computable virtual abstraction of a real phenomenon. In order to systematize the construction process of a phenomen
Externí odkaz:
https://doaj.org/article/7d9e7dd7ce6241a7810d85be942c597d
Autor:
Angkush Kumar Ghosh, AMM Sharif Ullah
Publikováno v:
Procedia CIRP. 112:268-273
Autor:
Angkush Kumar GHOSH, Sharif ULLAH
Publikováno v:
Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21. :011-040
Autor:
Angkush Kumar Ghosh
Manufacturing has rapidly been transforming under the umbrella of the fourth industrial revolution, known as Industry 4.0 or smart manufacturing, which diligently utilizes information and communication technology. In smart manufacturing, cyber-physic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::7e1d485b554ae92dd7a0634f1fd57a34
https://kitami-it.repo.nii.ac.jp/records/2000198
https://kitami-it.repo.nii.ac.jp/records/2000198
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 4, Iss 1, p 11 (2020)
Journal of Manufacturing and Materials Processing
Volume 4
Issue 1
Journal of Manufacturing and Materials Processing
Volume 4
Issue 1
Industry 4.0 requires phenomenon twins to functionalize the relevant systems (e.g., cyber-physical systems). A phenomenon twin means a computable virtual abstraction of a real phenomenon. In order to systematize the construction process of a phenomen
Publikováno v:
Current World Environment. 14:299-311
In this work, the possibility of contamination of environment by radioactive elements due to a steam-line break accident has been investigated for a VVER-1200 type nuclear power plant. Personal Computer Transient Analyzer (PCTRAN) has been used to ge
Publikováno v:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 33:317-331
This paper addresses the construction of digital twins (exact mirror images of real-world in cyberspace) using hidden Markov models for the futuristic manufacturing systems known as Industry 4.0. The proposed digital twin consists of two components n
Publikováno v:
Intelligent Manufacturing and Energy Sustainability ISBN: 9789811516153
In this experimental study, the possibility of improvement of conventional electric heater to reduce energy loss has been investigated. In order to do so, a modified electric heater construction has been employed, one covered with glass wool insulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c33a1f66286b4793e15af1d555a96f1
https://doi.org/10.1007/978-981-15-1616-0_4
https://doi.org/10.1007/978-981-15-1616-0_4