scholarly journals Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
New Technologies ◽  
Physical Object ◽  
Coupled Systems ◽  
Human Computer Interactions ◽  
New Approach ◽  
Industrial Systems ◽  
Digital Twins

AbstractThis paper presents a summary of mechanisms for the evolution of artificial intelligence in ‘internet of things’ networks. Firstly, the paper investigates how the use of new technologies in industrial systems improves organisational resilience supporting both a technical and human level. Secondly, the paper reports empirical results that correlate academic literature with Industry 4.0 interdependencies between edge components to both external and internal services and systems. The novelty of the paper is a new approach for creating a virtual representation operating as a real-time digital counterpart of a physical object or process (i.e., digital twin) outlined in a conceptual diagram. The methodology applied in this paper resembled a grounded theory analysis of complex interconnected and coupled systems. By connecting the human–computer interactions in different information knowledge management systems, this paper presents a summary of mechanisms for the evolution of artificial intelligence in internet of things networks.

scholarly journals Artificial Intelligence and the Internet of Things in Industry 4.0

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Leading Industry ◽  
Key Technologies ◽  
The Internet Of Things ◽  
State Of Art ◽  
Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

scholarly journals Digital Transformation, AI Applications and IoTs in Blockchain Managing Commerce Secrets: And Cybersecurity Risk Solutions in the Era of Industry 4.0 and Further

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 453-465
Author(s):  
Nguyen Dinh Trung ◽  
Dinh Tran Ngoc Huy ◽  
Le Thi Thanh Huong ◽  
Ta Van Thanh ◽  
Nguyen Thi Phuong Thanh ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Data Security ◽  
Industry 4.0 ◽  
Swot Analysis ◽  
Digital Transformation ◽  
High Data ◽  
Blockchain Technology ◽  
Inductive Methods ◽  
As Relationship

Once again in this study, we emphasizes strongly on applications of mathematical solutions for industrial uses. By using qualitative analysis, synthesis and inductive methods, together with statistic data, our paper target is to analyze aspects of SWOT analysis on blockchain technology and its opportunities for various industries and sectors in emerging markets such as Vietnam. This is based on the original foundation theory indicating that blockchain tech functioned as a mathematical solutions that can be applied for solving commerce secrets, with high data security and can be used for intellectual property. Among our research results is findings on the connection between IoTs - Internet of Things and blockchain tech, as well as relationship between AI - Artificial intelligence and blockchain tech. Last but not least authors propose cybersecurity risk solutions and there are policies implications attached.

Developing Trends in Power and Networking Technologies for Intelligent Cities

2021 ◽  
pp. 61-85
Author(s):  
Kadir Alpaslan Demir ◽  
Buğra Turan
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Ambient Intelligence ◽  
The Internet ◽  
Key Technologies ◽  
Intelligent Cities ◽  
Networking Technologies ◽  
The Internet Of Things

The introduction of Industry 4.0 has increased the focus on a number of technologies. These technologies also help realize the vision for intelligent cities. Furthermore, there are already discussions of Industry 5.0. One emerging aspect of Industry 5.0 is human-robot co-working. With the help of artificial intelligence, the internet of things paradigm, Industry 4.0, and Industry 5.0 visions, there will be two predominant types of systems interfacing with people in intelligent cities. These are robotic and ambient intelligence systems. The increasing deployment of these will help make cities even smarter. However, we need to see advancements in a number of relevant key technologies, including power and networking technologies. In this chapter, first, the authors briefly discuss Industry 4.0, Industry 5.0, and intelligent cities paradigm, as well as robotic and ambient intelligence systems. Then, they focus on developing trends in power and networking technologies.

A Comprehensive Study on Internet of Things Based on Key Artificial Intelligence Technologies and Industry 4.0

2021 ◽  
pp. 171-191
Author(s):  
Banu Çalış Uslu ◽  
Seniye Ümit Oktay Fırat
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Information Exchange ◽  
Industry 4.0 ◽  
New Technology ◽  
Smart Devices ◽  
Complex Environments ◽  
Novel Approach ◽  
Key Technologies ◽  
Shed Light

Under uncertainty, understanding and controlling complex environments is only possible with an ability to use distributed computing by the way of information exchange between devices to be able to understand the response of the system to a particular problem. From transformation of raw data in a huge distribution of network into the meaningful information, to use the understood knowledge to make rapid decisions needs to have a network composed of smart devices. Internet of things (IoT) is a novel approach, where these smart devices can communicate with each other by using key technologies of artificial intelligence (AI) in order to make timely autonomous decisions. This emerging technical advancement and realization of horizontal and vertical integration caused the fourth stage of industrialization (Industry 4.0). The objective of this chapter is to give detailed information on both IoT based on key AI technologies and Industry 4.0. It is expected to shed light on new work to be done by providing explanations about the new areas that will emerge with this new technology.

scholarly journals Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review

2020 ◽  
Vol 12 (10) ◽  
pp. 4035 ◽  
Author(s):  
Violeta Sima ◽  
Ileana Georgiana Gheorghe ◽  
Jonel Subić ◽  
Dumitru Nancu
Keyword(s):  
Artificial Intelligence ◽  
Human Capital ◽  
Consumer Behavior ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Internet Technology ◽  
The Internet ◽  
Human Capital Development ◽  
Capital Development ◽  
The Internet Of Things

Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.

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