Zobrazeno 1 - 10
of 134
pro vyhledávání: '"John Ahmet Erkoyuncu"'
Autor:
Inigo Fernandez del Amo, John Ahmet Erkoyuncu, Dominik Bulka, Maryam Farsi, Dedy Ariansyah, Samir Khan, Stephen Wilding
Publikováno v:
IEEE Access, Vol 12, Pp 144599-144620 (2024)
This article addresses a critical gap in the field of fault diagnosis for complex systems, focusing on the development and application of an ontology-based approach to capture and utilize expert knowledge. The key objective is to enhance fault diagno
Externí odkaz:
https://doaj.org/article/9e336e7e6323460b8803a6366567dd46
Autor:
Riccardo Palmarini, Inigo Fernandez Del Amo, Dedy Ariansyah, Samir Khan, John Ahmet Erkoyuncu, Rajkumar Roy
Publikováno v:
IEEE Access, Vol 11, Pp 8407-8421 (2023)
Augmented Reality (AR) has shown great potential for improving human performance in Maintenance, Repair, and Overhaul (MRO) operations. Whilst most studies are currently being carried out at an academic level, the research is still in its infancy due
Externí odkaz:
https://doaj.org/article/2b2b11de23214e16b3193a45dcedd3ca
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 3, p 126 (2023)
The digital twin (DT) research field is experiencing rapid expansion; yet, the research on industrial practices in this area remains poorly understood. This paper aims to address this knowledge gap by sharing feedback and future requirements from the
Externí odkaz:
https://doaj.org/article/c18ce25a997f42a5821a4516333609c3
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract High-quality medical ultrasound imaging is definitely concerning motion blur, while medical image analysis requires motionless and accurate data acquired by sonographers. The main idea of this paper is to establish some motion blur invariant
Externí odkaz:
https://doaj.org/article/c7f2c687b6b947d28798204c97af9327
Publikováno v:
Machines, Vol 11, Iss 5, p 560 (2023)
The mounting increase in the technological complexity of modern engineering systems requires compound uncertainty quantification, from a quantitative and qualitative perspective. This paper presents a Compound Uncertainty Quantification and Aggregati
Externí odkaz:
https://doaj.org/article/6e55a582525c495680e8bbc7d24e4f82
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 3, Pp 1032-1037 (2021)
For precisely produced polymer gears with a fast turnaround, reliable and easy inspection is crucial. The research project includes determining geometrical parameters and proposes a new parameter, which includes the absolute deviation of the gear fro
Externí odkaz:
https://doaj.org/article/3e47b43303844386a9c5c472a7a2d4b9
Autor:
Barmak Honarvar Shakibaei Asli, Jan Flusser, Yifan Zhao, John Ahmet Erkoyuncu, Kajoli Banerjee Krishnan, Yasin Farrokhi, Rajkumar Roy
Publikováno v:
IEEE Access, Vol 8, Pp 141342-141357 (2020)
In this paper, a new recursive structure based on the convolution model of discrete cosine transform (DCT) for designing of a finite impulse response (FIR) digital filter is proposed. In our derivation, we start with the convolution model of DCT-II t
Externí odkaz:
https://doaj.org/article/2592080f0be149378016056521a7ea51
Publikováno v:
Sensors, Vol 21, Iss 16, p 5480 (2021)
Pulsed thermography has been used significantly over the years to detect near and sub-surface damage in both metals and composites. Where most of the research has been in either improving the detectability and/or its applicability to specific parts a
Externí odkaz:
https://doaj.org/article/37c5ba6c926941c79f8366aec54a31c1
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 4, Iss 4, p 103 (2020)
In manufacturing supply chains with labour-intensive operations and processes, individuals perform various types of manual tasks and quality checks. These operations and processes embrace engagement with various forms of paperwork, regulation obligat
Externí odkaz:
https://doaj.org/article/657554efe0864f8581f6c81c14b78955
Publikováno v:
Journal of Manufacturing Systems. 67:242-264
Digital twin (DT) models are increasingly being used to improve the performance of complex manufacturing systems. In this context, DTs automatically enabling anomaly detection, such as increase in orders, and bottleneck identification, such as shorta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96fcbc9e71cca92055158344bfc0d31b
https://doi.org/10.1016/j.jmsy.2023.02.008
https://doi.org/10.1016/j.jmsy.2023.02.008