Browsing by Author "Erkoyuncu, John Ahmet"

Browsing by Author "Erkoyuncu, John Ahmet"

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  • Brain functional and effective connectivity based on electroencephalography recordings: a review 
    Cao, Jun; Zhao, Yifan; Shan, Xiaocai; Wei, Hua-Liang; Guo, Yuzhu; Chen, Liangyu; Erkoyuncu, John Ahmet; Sarrigiannis, Ptolemaios Georgios (Wiley, 2021-10-20)
    Functional connectivity and effective connectivity of the human brain, representing statistical dependence and directed information flow between cortical regions, significantly contribute to the study of the intrinsic brain ...
  • Cognitive data imputation: case study in maintenance cost estimation 
    Erkoyuncu, John Ahmet; Namoano, Bernadin; Kozjek, Dominik; Vrabič, Rok (Elsevier, 2023-07-13)
    Cost estimation is critical for effective decision making in engineering projects. However, it is often hampered by a lack of sufficient data. For this, data imputation techniques can be used to estimate missing costs based ...
  • Cognitive digital twin: an approach to improve the maintenance management 
    D’Amico, Rosario Davide; Erkoyuncu, John Ahmet; Addepalli, Sri; Penver, Steve (Elsevier, 2022-06-23)
    Digital twin (DT) technology allows the user to monitor the asset, specifically over the operation and service phase of the life cycle, which is the longest-lasting phase for complex engineering assets. This paper aims to ...
  • Compound uncertainty quantification and aggregation (CUQA) for reliability assessment in industrial maintenance 
    Grenyer, Alex; Erkoyuncu, John Ahmet; Addepalli, Sri; Zhao, Yifan (MDPI, 2023-05-16)
    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 ...
  • A conceptual design for smell based augmented reality: case study in maintenance diagnosis 
    Wang, Jeff; Erkoyuncu, John Ahmet; Roy, Rajkumar (Elsevier, 2018-11-24)
    The trend of Industry 4.0 encourages the next generation of manufacturing to be flexible, intelligent, and interoperable. The implementations of the Artificial Intelligence (AI) technology could potentially enhance maintenance ...
  • A conceptual framework to assess the impact of training on equipment cost and availability in the military context 
    Rodrigues, Duarte; Erkoyuncu, John Ahmet; Starr, Andrew G.; Wilding, Steve; Dibble, Alan; Laity, Martin; Owen, Richard (Elsevier, 2015-10-27)
    Designing military support is challenging and current practices need to be reviewed and improved. This paper gives an overview of the Industry current practices in designing military support under Ministry of Defence/Industry ...
  • Conceptualising the impact of information asymmetry on through-life cost: case study of machine tools sector 
    Farsi, Maryam; Grenyer, Alex; Sachidananda, Madhu; Sceral, Mario; Mcvey, Steve; Erkoyuncu, John Ahmet; Roy, Rajkumar (Elsevier, 2019-11-02)
    Information asymmetry (IA) in terms of contextual variety and importance is one of the most challenging aspects of through-life costing in product-service systems (PSS). IA is an imbalance in the information, data and ...
  • A cost estimation approach for IoT modular architectures implementation in legacy systems 
    Tedeschi, Stefano; Emmanouilidis, Christos; Erkoyuncu, John Ahmet; Rodrigues, Duarte Polonia; Roy, Rajkumar; Starr, Andrew (Elsevier, 2018-02-08)
    Industry 4.0 has encouraged manufacturing organisations to update their systems and processes by implementing Internet of Things (IoT) technology in legacy systems to provide new services such as autonomous condition ...
  • Cost of industrial product-service systems (IPS2) 
    Roy, Rajkumar; Datta, Partha Priya; Romero Rojo, Fran; Erkoyuncu, John Ahmet (CIRP, 2009-05)
    The motivation of this Keynote comes from the lack of research in estimating costs of an industrial product-service system (IPS2 ). A competitive IPS2 framework has been developed by Cranfield University for delivering ...
  • Cost uncertainty management and modelling for industrial product-service systems 
    Erkoyuncu, John Ahmet (Cranfield University, 2011-01)
    Globally manufacturing based industries are typically transforming operations to enhance the delivery of services throughout equipment use. Within the defence industry, Contracting for Availability (CfA) has emerged as ...
  • Current practice and challenges towards handling uncertainty for effective outcomes in maintenance 
    Grenyer, Alex; Dinmohammadi, Fateme; Erkoyuncu, John Ahmet; Zhao, Yifan; Roy, Rajkumar (Elsevier, 2020-02-18)
    The combination of viable heuristic attributes with statistical measurements presents significant challenges in industrial maintenance for complex assets under through-life service contracts. Techniques to obtain and process ...
  • Data management for developing digital twin ontology model 
    Singh, Sumit; Shehab, Essam; Higgins, Nigel; Fowler, Kevin; Reynolds, Dylan; Erkoyuncu, John Ahmet; Gadd, Peter (Sage, 2020-12-09)
    Digital Twin (DT) is the imitation of the real world product, process or system. Digital Twin is the ideal solution for data-driven optimisations in different phases of the product lifecycle. With the rapid growth in DT ...
  • Data uncertainty assessment and information flow analysis for product-service systems in a library case study 
    Durugbo, Christopher; Erkoyuncu, John Ahmet; Tiwari, Ashutosh; Alcock, Jeffrey R.; Roy, Rajkumar; Shehab, Essam (Inderscience, 2010-12-31)
    The provision of service is increasingly becoming a key driver for delivering customer value. This emphasis on service provision is promoted by approaches such as Product-Service Systems (PSSs) that deliver value in use ...
  • DCT/IDCT filter design for ultrasound image filtering 
    Shakibaei, Barmak Honarvar; Flusser, Jan; Zhao, Yifan; Erkoyuncu, John Ahmet; Roy, Rajkumar (IEEE, 2021-05-05)
    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 ...
  • Defining next-generation additive manufacturing applications for the Ministry of Defence (MoD) 
    Busachi, Alessandro; Erkoyuncu, John Ahmet; Colegrove, Paul A.; Drake, Richard; Watts, Chris; Martina, Filomeno (Elsevier, 2016-11-02)
    “Additive Manufacturing” (AM) is an emerging, highly promising and disruptive technology which is catching the attention of the Defence sector due to the versatility it is offering. Through the combination of design freedom, ...
  • Design for Digitally Enabled Industrial Product-Services Systems 
    Erkoyuncu, John Ahmet; Farsi, Maryam; Addepalli, Sri; Latsou, Christina (Elsevier, 2023-07-08)
    Planning the life cycle of industrial product-service systems (IPS2) is highly challenging due to uncertainties experienced in predicting supply (e.g. spares) and demand (e.g. availability) related factors. Whilst ...
  • A design framework for adaptive digital twins 
    Erkoyuncu, John Ahmet; Fernández del Amo, Iñigo; Ariansyah, Dedy; Bulka, Dominik; Vrabič, Rok; Roy, Rajkumar (Elsevier, 2020-05-20)
    Digital Twin (DT) is a ‘living’ entity that offers potential with monitoring and improving functionality of interconnected complex engineering systems (CESs). However, lack of approaches for adaptively connecting the ...
  • A design framework for technology prioritisation in the context of through-life engineering services 
    Chi, Jie; Latsou, Christina; Erkoyuncu, John Ahmet; Grenyer, Alex; Rushton, Keith R.; Brocklebank, Simon (Elsevier, 2021-06-02)
    Lack of methods on standardising the prioritisation of technologies within the context of Through-life Engineering Services (TES) has been identified. Inspired by the TES value streams and support activity assets, existing ...
  • Design of a virtual reality framework for maintainability and assemblability test of complex systems 
    Marzano, Adelaide; Friel, Imelda; Erkoyuncu, John Ahmet; Court, Samuel (Elsevier, 2015-10-09)
    This paper presents a unique environment whose features are able to satisfy requirements for both virtual maintenance and virtual manufacturing through the conception of original virtual reality (VR) architecture. Virtual ...
  • Designing a semantic based common taxonomy of mechanical component degradation to enable maintenance digitalisation 
    Addepalli, Sri; Namoano, Bernadin; Oyedeji, Oluseyi Ayodeji; Farsi, Maryam; Erkoyuncu, John Ahmet (Elsevier, 2023-07-08)
    Digital data management and enterprise systems have become key to support the digitalisation of maintenance activities. With traditional maintenance activities still striving for efficiencies, platforms such as the natural ...