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Bridging human and machine learning for the needs of collective intelligence development
2020
Procedia Manufacturing
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In this paper we point out the need for bridging the gap between the human and machine learning, so that some approaches used in machine learning will be useful for humans and vice-versa, some knowledge ...
In this paper we point out the need for bridging the gap between the human and machine learning, so that some approaches used in machine learning will be useful for humans and vice-versa, some knowledge ...
Bridging the gap between human and AI learning As our generic goal is bridging the gap between human and machine learning for their mutual benefits and coevolution, we are looking for answers to three ...
doi:10.1016/j.promfg.2020.02.092
fatcat:bc2xg2jyjvhulmcju2wnqwdezy
Integration of digital learning in industry 4.0
2018
Procedia Manufacturing
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Under the concept of "Industry 4.0", production processes will be pushed to be increasingly interconnected, information based on a real time basis and, necessarily, much more efficient. ...
Abstract The emerging advances in sensor systems, automation and Information and Communication Technology (ICT) for manufacturing opens new possibilities for lifelong learning utilizing data from production ...
The authors wish to thank the Research Council for funding and the companies participating in the discussions for this paper. ...
doi:10.1016/j.promfg.2018.04.027
fatcat:tuiev67tqrfpdcg7kdtvemaqsa
Cloning and training collective intelligence with generative adversarial networks
2021
IET Collaborative Intelligent Manufacturing
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This study tries to bridge the gap between human and AI learning addressing human-machine co-working that is inevitable for the knowledge management in Industry 4.0 [23] . ...
| BRIDGING THE GAP BETWEEN HUMAN AND 'AI' Learning The need for training the autonomous AI systems in the same way as humans (in addition to traditional ML) was recently discussed in [8] . ...
doi:10.1049/cim2.12008
fatcat:k2x7aorfivasnci6cspgxjupvq
Industry 4.0: contributions of holonic manufacturing control architectures and future challenges
2020
Journal of Intelligent Manufacturing
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2020 pre-print arXiv:2002.04525v1 fatcat:ogiwfi3r7fglzkl5adrjpbg5fy
Over-connectivity and data management abilities targeted by Industry 4.0 paradigm enable the emergence of more flexible and reactive control systems, based on the cooperation of autonomous and connected ...
From most relevant articles extracted from existing literature, a list of 10 key enablers for Industry 4.0 is first presented. ...
Acknowledgements The authors would like to thank the reviewers for their valuable time and constructive comments that allowed to improve this research paper. ...
doi:10.1007/s10845-020-01532-x
fatcat:bbkxsy4ygvcpxosmevhwrnokpm
Service Interface Translation. An Interoperability Approach
2021
Applied Sciences
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Interoperability plays an important role in Industry 4.0. ...
In this paper, the autonomous consumer interface generation process, the system architecture, and the generated interface instance are described. ...
Acknowledgments: The authors thank the European Commission and the Arrowhead Tools project (EU ECSEL Joint Undertaking under grant agreement number 826452) for funding. ...
doi:10.3390/app112411643
fatcat:6gouqa6zlbh4zlsir4a5m2evdm
Industry 4.0 for the Construction Industry—How Ready Is the Industry?
2019
Applied Sciences
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Industry 4.0 is expected to augment both the quality and productivity of construction and attract domestic and foreign investors. ...
The growth of the construction industry is a subset of the universal set of the gross domestic product value; thus, Industry 4.0 has a spillover effect on the engineering and construction industry. ...
Acknowledgments: We are also grateful for the support of student Jan Hruska and Sebastien Mambou in consultations regarding application aspects. ...
doi:10.3390/app9142819
fatcat:6xtgnkeat5hwnm7xfz7lvjbb7i
A Collaboration-Oriented M2M Messaging Mechanism for the Collaborative Automation between Machines in Future Industrial Networks
2017
Sensors
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connectivity and discovery, ubiquitous messaging, and semantic interoperability that are well suited for the production line-scale interoperability of manufacturing applications. ...
Although the crucial technical issues have been addressed, there exists an underlying gap between model-based service architectures and mechanical operations. ...
Z.W. and J.G provided supervisions and supports for the research work. ...
doi:10.3390/s17112694
pmid:29165347
pmcid:PMC5712802
fatcat:vkjvtzixcbge5pckutoi2vvlna
AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling
2021
Applied Sciences
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The theory and applications of Smart Factories and Industry 4.0 are increasing the entry into the industry. ...
This paper presents a proof of concept of an automated inspection system, for wood surfaces, where concepts found in Industry 4.0, such as industrial Internet of things (IIoT), smart factory, flexible ...
Acknowledgments: The authors would like to thank Södra for providing CLT plates. ...
doi:10.3390/app11219965
fatcat:5lumvbiyorbatpe4ofgcqyx6wi
Evolution of 3C Cyber-Physical Systems Architecture for Industry 4.0
[chapter]
2018
Studies in Computational Intelligence
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Cyber-Physical System (CPS) is considered as the emerging component for Industry 4.0, and the state-of-the art and standard CPS architecture playing the major role to understand the nature of the industrial ...
So, to remedy these problems and bridging the gap this paper proposes to enhance the 3C CPS architecture based on the traditional 3C one for industry4.0 by adopting the main interfacing elements such as ...
The authors would like to thank SmartLink Project and Universite Lumiere Lyon2. ...
doi:10.1007/978-3-030-03003-2_35
fatcat:llydt65iufdxzaffgmveiyjukq
Smart manufacturing based on cyber-physical systems and beyond
2017
Journal of Intelligent Manufacturing
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Historically, the smart factory was initially studied with the introduction of the Internet of Things (IoT) in manufacturing, and later became a key part of Industry 4.0. ...
The communication networks refer to intermediate components which are responsible for bridging the cyber space with the physical world. ...
This study fills the gaps between IoT/IoS and CPS, between CPS and smart manufacturing, and between smart manufacturing and wisdom manufacturing. ...
doi:10.1007/s10845-017-1384-5
fatcat:qbbgeyj7sfahzddh3fpj64cszu
Six-Gear Roadmap Towards the Smart Factory
2021
Applied Sciences
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The significance of the proposed roadmap serve as a strategic practical tool for rapid adoption of Industry 4.0 technologies for smart manufacturing and to bridge the gap between the advanced technologies ...
These criteria are sub-grouped to fit within various stages of the proposed roadmap and attempts to bridge the gap between academia and industry and contributes to a new knowledge in the literature. ...
The approach attempts to bridge the gap between academia and industry and contributes to a new knowledge in the literature. ...
doi:10.3390/app11083568
fatcat:5j4jt6kr5zfoxcl3eaumroreru
Designing Construction 4.0 Activities for AEC Classrooms
2021
Buildings
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All these demonstrators are knitted together in a single path in which an educational attempt to fill the identified Construction 4.0 gaps is proposed. ...
During the last two years, the project was developed and the design, the development and implementation of several demonstrators were completed. ...
In between, it is pinpointed how cyber-physical systems represent an accessible and affordable way of bridging the gap in AEC classrooms when it comes to implementing Construction 4.0 activities in which ...
doi:10.3390/buildings11110511
fatcat:dlmtyg2x4zd5zminx2vamxnoae
Human in the Loop: Industry 4.0 technologies and scenarios for worker mediation of automated manufacturing
2021
IEEE Access
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Industry 4.0 derived technologies have the potential to enable a new wave of digital manufacturing solutions for semi and fully automated production. ...
and autonomous production. ...
In these works, the need for more research on control loops between Manufacturing Execution Systems and shop floor production via Digital Twin is highlighted. ...
doi:10.1109/access.2021.3099311
fatcat:j43i6cht7ba5hehsz4oebpcwde
Big data and natural environment. How does different data support different green strategies?
2020
Sustainable Futures
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The paper wants to explore how firms can capture value from big data to improve green engagement by providing a conceptual model through a comprehensive and panoramic literature that relates big data sources ...
to the adoption of different green strategies. ...
However, in the context of Big Data, it is a great challenge to efficiently describe semantic features and to build semantic association models to bridge the semantic gap of various heterogeneous data ...
doi:10.1016/j.sftr.2020.100029
fatcat:qgm4ogjt4rhlhj6hl3tx4qcxga
Model-driven Logistics Engineering – Challenges of Model and Object Transformation
2014
Procedia Technology - Elsevier
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for industry 4.0 Production and logistics are very interdisciplinary. ...
The precondition is the availability of powerful software techniques, which helps to bridge the gap between real and cyber world [3] . ...
doi:10.1016/j.protcy.2014.09.084
fatcat:3j26lesgkfhk3kn5myl63yfr5a
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