scholarly journals Real-time Motion Control of Robot Using Kinect

2021 ◽  
Vol 2115 (1) ◽  
pp. 012010
Author(s):  
R Dilip ◽  
J Dharani ◽  
K J Jai Viknesh ◽  
D S Lohith ◽  
Yogesh Prakash
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Motion Control ◽  
Industry 4.0 ◽  
Dynamic Environment ◽  
Humanoid Robots ◽  
Mobile Technologies ◽  
Time Motion ◽  
Technological Advances ◽  
Technical Expert

Abstract The goal of Industry 4.0 is to maximize efficiency and reduce human efforts. Artificial Intelligence, Cloud Computing, Robotics, Mobile Technologies and many other technological advances generate Industry 4.0. Humanoid robots resemble humans and their primary goal is to perform any task programmed by the user. Our goal is to create a portable and safer system that can be used in any dynamic environment to control the robot and avoid any sort of complexity. With the rapid technological advances, there is no need to worry about unemployment since it requires a technical expert in the field to control the robot. This paper discusses how this control system processes gesture data along with a brief discussion of certain useful applications.

scholarly journals Measuring Digital Transformation Maturity of Supply Chain

2021 ◽  
Vol 15 (2) ◽  
pp. 199-204
Author(s):  
Krešimir Buntak ◽  
Matija Kovačić ◽  
Maja Mutavdžija
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Digital Transformation ◽  
Strategic Decision ◽  
Traditional Practices ◽  
Long Run ◽  
Efficiency And Effectiveness ◽  
Different Levels

Digital transformation signifies changes in all components and systems of the supply chain. It is also a strategic decision of the organization which, in the long run, can result in the creation of competitive advantage in the market. Digital transformation is affecting all organizations, regardless of their activity. Digital transformation of the supply chain involves the use of industry 4.0 based technologies as well as the replacement of traditional practices with new ones based on digital solutions. The implementation of digital solutions, such as artificial intelligence, IoT, cloud computing, etc., therefore, improve communication between stakeholders in the supply chain, as well as improve efficiency and effectiveness. When conducted, digital transformation must be measured by different levels of maturity. In this paper, authors research current models of measuring digital transformation maturity in supply chain and propose a new model based on identified theories and needs.

Regulating Digital Transformation

2021 ◽  
pp. 161-183
Author(s):  
Belal Hafnawi
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
Small Scale ◽  
The Core ◽  
Road Map ◽  
Regulatory Frameworks ◽  
The Impact

Digital transformation is the core value of the 4th industrial revolution or Industry 4.0. Although the efforts are focused on utilization and usage of technologies like artificial intelligence, internet of things, cloud computing, and many other technologies. We should focus in parallel on regulating the technologies to provide the proper road map and put the proper regulatory frameworks to remove uncertainties in development, investment, or implementation of technologies. Regulatory effectiveness is very important in saving time and rolling out technologies. In one initiative, regulatory technology (RegTech) will utilize the technology to enhance the regulatory process in financial sector; Regulation 4.0 is another; however, plenty of work is still ahead. Some regulators are keen to facilitate the emerging technologies and to see the consequences immediately, thus they use sandbox thinking in evaluating the impact at a small scale. In summary, this chapter will highlight the different practices and methodologies to regulate the digital transformation in the best way.

Cybersecurity Issues and Challenges in Industry 4.0

2021 ◽  
pp. 1836-1852
Author(s):  
Ravdeep Kour
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Online Monitoring ◽  
Cognitive Computing ◽  
Fourth Industrial Revolution ◽  
Entry Points ◽  
Iot Devices

The convergence of information technology (IT) and operational technology (OT) and the associated paradigm shift toward fourth industrial revolution (aka Industry 4.0) in companies has brought tremendous changes in technology vision with innovative technologies such as robotics, big data, cloud computing, online monitoring, internet of things (IoT), cyber-physical systems (CPS), cognitive computing, and artificial intelligence (AI). However, this transition towards the fourth industrial revolution has many benefits in productivity, efficiency, revenues, customer experience, and profitability, but also imposes many challenges. One of the challenges is to manage and secure large amount of data generated from internet of things (IoT) devices that provide many entry points for hackers in the form of a threat to exploit new and existing vulnerabilities within the network. This chapter investigates various cybersecurity issues and challenges in Industry 4.0 with more focus on three industrial case studies.

Balancing Exploration and Exploitation Through Customer Development Model

2021 ◽  
pp. 839-852
Author(s):  
Krishna Raj Bhandari
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Best Practices ◽  
Industry 4.0 ◽  
Development Model ◽  
Exploration And Exploitation ◽  
Customer Development

Balancing exploration and exploitation in entrepreneurial ventures enabled by Industry 4.0 has not been the focus of the existing literature. It is because the phenomenon is emerging and the focus has been to use practitioners' best practices in studying such phenomenon. In this chapter, the author combines the literature in balancing exploration and exploitation with the practitioners' best practices such as customer development model and lean startup. The author proposes that the existing models are good in principle but in order to really solve the problem in such an uncertain environment driven by big data, cloud computing, internet of things (IoT), and artificial intelligence, managers need to embed optimization algorithms in their decision making.

scholarly journals Doctor at Your Fingertips: An Exploration of Digital Visits from Stakeholders’ Perspectives

Life ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 6
Author(s):  
Selina Demi ◽  
Samir Hilmy ◽  
Christina Keller
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Empirical Data ◽  
Mobile Technologies ◽  
Structured Interviews ◽  
Time Data ◽  
Technological Advances ◽  
Real Time Data

Technological advances and the evolution of mobile technologies enable patients to meet their doctors through their smartphones. While offering the opportunity of digital visits to patients, there are also challenges for this development. The purpose of this study is to enhance the understanding of digital visits, as perceived by experts working in telemedicine companies. To serve this purpose, the authors conducted semi-structured interviews with managers and employees in eight telemedicine companies. The analysis of the empirical data confirmed the importance of digital visits and their efficiency. The potential of digital visits is expected to increase significantly, should they make use of remote devices to transfer real-time data from patients to physicians. In such a case, digital visits are expected to cover approximately 70–75% of medical cases. However, the use of remote devices must be taken with caution and specific conditions need to be taken into account. We encourage researchers to perform research on promising technologies such as artificial intelligence and remote diagnostic devices, which could make more diagnoses and conditions possible to be treated by digital visits. This is even more important in light of the ongoing Covid-19 pandemic.

scholarly journals Positive Effect of Industry 4.0 on Quality and Operations Management

2021 ◽  
Vol 17 (09) ◽  
pp. 133
Author(s):  
Hanane Rifqi ◽  
Abdellah Zamma ◽  
Souad Ben Souda ◽  
Mohamed Hansali
Keyword(s):  
Artificial Intelligence ◽  
Operations Management ◽  
Six Sigma ◽  
Industry 4.0 ◽  
New Technologies ◽  
Lean Six Sigma ◽  
Quality Practices ◽  
Technological Advances ◽  
Potential Gain ◽  
Positive Effect

the last decade has witnessed the birth of technological advances such as the IoT, artificial intelligence, machine learning and augmented reality. These technologies have driven the transition to Industry 4.0 where they have enabled the digitization of manufacturing with potential gain. Also Industry 4.0 has given birth to several new hybrid concepts as well as several management operations to take advantage and become more efficient by using IoT and these new technologies. In our paper, we discuss the effect of Industry 4.0 on management and quality practices by answering the following questions based on the literature review: What is the positive effect of Industry 4.0 on quality improvement and operations management? How does Industry 4.0 integrate concepts (Lean, Six Sigma, Supply Chain ...) to create new paradigms?

scholarly journals The Future Of Accounting Profession in The Industrial Revolution 4.0: Meta-Synthesis Analysis

2021 ◽  
Vol 31 (4) ◽  
Author(s):  
Ni Made Kariana Rosi ◽  
Luh Putu Mahyuni
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
New Technology ◽  
Synthesis Method ◽  
Accounting Profession ◽  
Internal Auditors ◽  
Technological Advances ◽  
Applied Technology

Various appearances of applied technology, such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data are all Industrial Revolution 4.0 characteristics that can change the business model. This research aims to explore how the advancement of Industrial Revolution 4.0 technology might disrupt the accounting profession. This research applied meta-synthesis method. The results of this study illustrated that the importance of development in the accounting sector is to keep pace with technological advances in industry 4.0. This must be balanced with the development of knowledge in the field of accounting so that all types of development can be carried out as well as possible. The findings showed that the appearance of various kinds new technology had a very significant impact in the development of the accounting profession. Further research should be able to discuss the Industrial Revolution 4.0 impact in more depth and can be linked to other accounting professions, such as internal auditors. Keywords: Accounting Profession; Industrial Revolution 4.0; Technology.

Cybersecurity Issues and Challenges in Industry 4.0

2020 ◽  
pp. 84-101
Author(s):  
Ravdeep Kour
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Online Monitoring ◽  
Cognitive Computing ◽  
Fourth Industrial Revolution ◽  
Entry Points ◽  
Iot Devices

The convergence of information technology (IT) and operational technology (OT) and the associated paradigm shift toward fourth industrial revolution (aka Industry 4.0) in companies has brought tremendous changes in technology vision with innovative technologies such as robotics, big data, cloud computing, online monitoring, internet of things (IoT), cyber-physical systems (CPS), cognitive computing, and artificial intelligence (AI). However, this transition towards the fourth industrial revolution has many benefits in productivity, efficiency, revenues, customer experience, and profitability, but also imposes many challenges. One of the challenges is to manage and secure large amount of data generated from internet of things (IoT) devices that provide many entry points for hackers in the form of a threat to exploit new and existing vulnerabilities within the network. This chapter investigates various cybersecurity issues and challenges in Industry 4.0 with more focus on three industrial case studies.

Balancing Exploration and Exploitation Through Customer Development Model

2018 ◽  
pp. 147-160 ◽  
Author(s):  
Krishna Raj Bhandari
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Best Practices ◽  
Industry 4.0 ◽  
Development Model ◽  
Exploration And Exploitation ◽  
Customer Development

Balancing exploration and exploitation in entrepreneurial ventures enabled by Industry 4.0 has not been the focus of the existing literature. It is because the phenomenon is emerging and the focus has been to use practitioners' best practices in studying such phenomenon. In this chapter, the author combines the literature in balancing exploration and exploitation with the practitioners' best practices such as customer development model and lean startup. The author proposes that the existing models are good in principle but in order to really solve the problem in such an uncertain environment driven by big data, cloud computing, internet of things (IoT), and artificial intelligence, managers need to embed optimization algorithms in their decision making.

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