Industrial revolution – from Industry 1.0 to Industry 4.0

Buła, Piotr; Niedzielski, Bartosz

doi:10.4324/9781003184027-1

Cited by 8 publications

(5 citation statements)

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“…For instance, this is achieved if host (0,0,3) may be taken as the source host, because this particular host has its backup port unused. This way, we find the general pattern in FiConn1[0] and FiConn1 [1]: 1-0-3-2-0-6, whilst we find a modified pattern in FiConn1 [2] and FiConn1 [3]: 1-0-3-3-0-5. The reason for this is because the entry host of FiConn1 [1] is reached in three hops, whereas his takes place in six hops in both FiConn1 [2] and FiConn1 [3], so the direct links between FiConn1 [1] with FiConn1 [2] and FiConn1 [3] facilitate to reach the hosts directly linked in those FiConn1 two hops before it is expected to by the general pattern.…”

Section: Ficonn (Fc) With N=4mentioning

confidence: 60%

“…On the other hand, the rest of FiConn1 follow the general pattern: 1-0-3-2-0-6, which is the one applying to the rest of FiConn1. However, the entry host in each FiConn1 is reached at different hops away, such that FiConn1 [1] is reached in three hops, FiConn1 [2] is obtained in four hops, and FiConn1 [3] is attained in seven hops. Hence, if such an entry host is considered as the first 1 in the general pattern, the number of hops away to reach the rest of hosts within a given FiConn1 grows sequentially according to the general pattern.…”

Section: Ficonn (Fc) With N=4mentioning

confidence: 99%

“… Industry 3.0 happened in the 1970s. It brought automation through the advances in electronics and IT, setting the focus on automating processes [2].…”

Section: Introductionmentioning

confidence: 99%

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Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing

Roig,

Alcaraz,

Gılly

et al. 2024

Politeknik Dergisi

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The election of an appropriate data center network topology is key when dealing with surveillance and monitoring processes, such as those devoted to obtaining relevant data for sensor data fusion in any type of remote computing environment so as to perform fault diagnosis and prevention. In this paper, some of the most commonly used topologies to interconnect nodes within a data center bound to edge/fog computing, representing either switch-centric ones or server-centric ones, are reviewed and analyzed from a statistical point of view in order to measure their performance, resulting in server-centric ones doing it better.

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Section: Ficonn (Fc) With N=4mentioning

confidence: 60%

Section: Ficonn (Fc) With N=4mentioning

confidence: 99%

See 1 more Smart Citation

Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing

Roig,

Alcaraz,

Gılly

et al. 2024

Politeknik Dergisi

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show abstract

“…Industry 4.0 is based on three technological innovations that drive transformation: Artificial Intelligence, Specialised Manufacturing, and flexible automation (Potluri et al, 2022). The series of industrial revolution processes outlined above emphasize the fundamental change in the industrial sector from manual manufacturing to automated and intelligent manufacturing (Bula & Niedzielski, 2021). The industrial revolution 4.0 has changed the way we live, work and relate to other humans.…”

Section: The Industrial Revolution and The Prospects Of Digital Socio...mentioning

confidence: 99%

Innovation and Technological Adaptation of Business Actors in the Digital Age: A Digital Sociology Perspective

Ambo Upe

2023

IJIAS

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The advancement of information technology has changed many aspects of human life. Technology has entered various spaces of human life, so technology and humans are an integral unit. In the modern economic sector, the market has transformed business digitalization. This is both a challenge and an opportunity for business people. For this reason, this study aims to analyze the space for innovation and technological adaptation of business actors in responding to advances in information technology. In addition, this research also intends to outline the relevance of developing digital sociology studies. A qualitative approach through field studies and literature review is the method of choice for this research. Operationally, the research was conducted through two stages, namely the context determination stage and the concept selection stage. These two processes are in line with the principle of inductive logic in qualitative research which prioritizes empirical narratives and then develops conceptual narratives. This is intended to obtain a comprehensive understanding of the facts and theories about technological innovation and adaptation in the business world. The results show that digital technology has become a major catalyst for improving operational efficiency, expanding market reach, and creating competitive differentiation. Therefore, digital technology adaptation is not just an option but has become a necessity in an increasingly digitally connected era. Digital technology adaptation is one of the keys to success in a world that is undergoing a massive transformation from real space to digital space.

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“…Nowadays, in the 21 st century, the Fourth Revolution implies using ICT technologies at large scale in different industries e.g. cyber-physical production-systems and digital twins (Desoutter, 2021). Accordingly, in the last decade and during the ongoing pandemic, we see digital technologies evolve/change the way we as a society function.…”

Section: Introductionmentioning

confidence: 99%

Responsible Digital Security Behaviour: Definition and Assessment Model

Maathuis

Chockalingam

2022

eccws

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Digital landscape transforms remarkably and grows exponentially tackling important societal challenges and needs. In the modern age, futuristic digital concepts are ideated and developed. These digital developments create a diverse pallet of opportunities for organizations and their members like decision makers and financial personnel. Simultaneously, they also introduce different factors that influence users’ behaviour related to digital security. However, no method exists to determine whether users’ behaviour could be considered responsible or not, and in case this behaviour is irresponsible, how it could be managed effectively to avoid negative consequences. Thus far, no attempt was made to investigate this to the best of our knowledge. Then this research aims to: (i) introduce ‘responsible digital security behaviour’ notion, (ii) identify different factors influencing this behaviour, (iii) design a Bayesian Network model that classifies responsible/irresponsible digital security behaviour considering these factors, and (iv) draw recommendations for improving users’ responsible digital security behaviour. To address these, extensive literature review is conducted through technical, ethical, and social lenses in a Design Science Research approach for defining, building, and exemplifying the model. The results contribute to increasing digital security awareness and empowering in a responsible way users’ behaviours and decision-processes involved in developing and adopting new standards, methodologies, and tools in the modern digital era.

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Industrial revolution – from Industry 1.0 to Industry 4.0

Cited by 8 publications

References 0 publications

Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing

Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing

Innovation and Technological Adaptation of Business Actors in the Digital Age: A Digital Sociology Perspective

Responsible Digital Security Behaviour: Definition and Assessment Model

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