The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
FOURTH INDUSTRIAL REVOLUTION - IMPLEMENTING FOURTH GENERATION SCADA WITH THE REVOLUTIONIZING TECHNOLOGY OF INTERNET OF THINGS
Open accessAbstract
Digitization is a major driving force of our time, turning our world inside out. Smart and connected systems are increasingly pervading all types of applications. The internet of things (IoT) is already starting to affect environments of all kinds – homes, cities, travel, logistics, retail and medicine, to name just a few – and it will not stop at our factory gates, either. According to a recent estimation by McKinsey, the potential economic impact of IoT applications in 2025 is between US$ 3.9 and $11.1 trillion, of which $1.2 to $3.7 trillion is allotted to IoT applications within the factory environment. Also known as smart manufacturing, or Industrie 4.0 in Germany, these are fully networked manufacturing ecosystems driven by the IoT . In a future where all “factory objects” will be integrated into networks, traditional control hierarchy will be replaced by a decentralized self-organization of products, field devices and machines. Production processes have to become so flexible that even the smallest lot size can be produced costeffectively and just in time to the customer’s individual demands. Customers are driving this development too, as they can design and order products at the click of a mouse. They can also expect their products to be delivered within a few days – or even hours – and don’t want to wait weeks for goods to travel from far regions of the world where labour costs are lower. Keywords—IOT, Industrie 4.0 and smart manufacturing
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“Thus defined domain-specific submodels i.e. manifest of the asset administration is constantly available via interaction manager residing within the administration shell stored in the asset or in a database [111] and enabling interaction patterns in standardized data exchange, achieving semantic interoperability through the entire asset and instance life cycle, i.e. from design and construction”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [85]
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Cites
Towards the Implementation of IoT for Environmental Condition Monitoring in Homes
Kelly, S. D. T., Suryadevara, N. K., & Mukhopadhyay, S. C. (2013) · IEEE Sensors Journal · doi:10.1109/jsen.2013.2263379 · Cited by 767
Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications
Lazarescu, M. T. (2013) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · doi:10.1109/jetcas.2013.2243032 · Cited by 611
Compressed Sensing Signal and Data Acquisition in Wireless Sensor Networks and Internet of Things
Li, S., Xu, L. D., & Wang, X. (2013) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2189222 · Cited by 561
Smart Cities Built on Resilient Cloud Computing and Secure Internet of Things
Suciu, G., Vulpe, A., Halunga, S., Fratu, O., Todoran, G., & Suciu, V. (2013) · 2013 19th International Conference on Control Systems and Computer Science · doi:10.1109/cscs.2013.58 · Cited by 220
Data Cleaning for RFID and WSN Integration
Wang, L., Xu, L. D., Bi, Z., & Xu, Y. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2013.2250510 · Cited by 187
Internet of Things Technologies
Bharathi, A., Balamurugan, B., Chokkanathan, K., Sathiyaraj, R., & Singh, A. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-817356-5.00015-2 · Cited by 25
Research works printed but not linked: 4
- [1][1] Qing ping Chi, Hairong Yan, Chuan Zhang, Zhibo Pang, and Li Da Xu,(May 2014) 'A Reconfigurable Smart Sensor Interface for Industrial WSN in IoT Environment,' IEEE Transactions on Industrial Informatics, (vol. 10, no.2,pp.1417-1425,.) -
- [3][3] Fan.Y, Yin.Y,Xu,Y,Zeng.Y, and Wu,F,'IoT based smart rehabilitation system,' (2014) IEEE Transaction on Industrial Informatics, (vol.10,no.2,pp. 1568-1577). -
- [7][7] J. Zhou et al.,(Aug.2013) 'An efficient multidimensional Fusion algorithm for IoT data based on partitioning,' Tsinghua Science and Technology. ( vol. 18, no. 4, pp. 369-378) -
- [11][11] Gubbi.J,Buyya,R Marusic.S,Palaniswami.M.P., , (September 2013)-Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions‖ Future Generation Computer Systems (Volume 29, Issue 7, Pages 1645-1660 ) -
Cited by
Sverko, M., Grbac, T. G., & Mikuc, M. (2022) · IEEE Access · doi:10.1109/access.2022.3211288 · Cited by 71
“broadly perceived as an interconnected system of advanced hardware, networks, big data processing and cloud computing, where it can be seen as a layer extending above SCADA and DCS [85].”
Background
Metadata
- Authors
- Amudhevalli, R., & Sivakumar, D. T.
- Venue
- International Journal of Engineering Applied Sciences and Technology
- Publisher
- IJEAST
- Published
- 2019-10-01
- Volume
- 04
- Issue
- 05
- Pages
- 199-201
- ISSN
- 2455-2143 (ISSN-L)
- OpenAlex
- W2984266278
- Cited by
- 2
- References
- 6
- Citations by year
- 2024: 1 · 2022: 1
- FWCI
- 0.14
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Engineering Applied Sciences and Technology (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
- Keywords
- Fourth Industrial Revolution, SCADA, Internet of Things, industrial automation, smart manufacturing
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- Amudhevalli, R., & Sivakumar, D. T. (2019). FOURTH INDUSTRIAL REVOLUTION - IMPLEMENTING FOURTH GENERATION SCADA WITH THE REVOLUTIONIZING TECHNOLOGY OF INTERNET OF THINGS. International Journal of Engineering Applied Sciences and Technology. https://doi.org/10.33564/ijeast.2019.v04i05.030
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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