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Nowadays, when multiple aspects of our life depend on complex cyber-physical systems, automated anomaly detection, prevention and handling is a critical issue that inuence our security and quality of life. Recent catastrophic events showed that manual (human-based) handling of anomalies in complex systems is not recommended, automatic and intelligent handling being the proper approach. This paper presents, through a number of case studies, the challenges and possible solutions for implementing computer-based anomaly detection systems.
With the uptake of the IoT in the industrial domain, a whole new range of cyber-physical systems has emerged; Industry 4.0 is the title given to this technological domain of highly interconnected, data-rich systems. To aid the development of such systems, a range of reference architectures has been developed throughout the years. This paper reviews a number of recent reference architectures, detailing their essential traits as well as identifying aspects that need to be further explored in order to obtain reference architectures better tuned to generating cyber-physical social systems.
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Industry 4.0 has important elements, such as big data, cyber-physicalsystems (CPS), the interoperability, the Internet of Things (IoT) and a smart city. The industrial revolution is mostly based on these five factors. However, the current study examined the effect of three major factors, namely, CPS, the interoperability and a smart city (a smart factory, a smart product) on the production and services of textile companies in Malaysia. These three elements of Industry 4
Radu Emanuil Petruse, Ioan Bondrea and Ioan Cristian Nicolae
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