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Industry 5.0: How Intelligent Sensors and Its Applications Accelerate Customized Digital Transformation for Industry

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 19322

Special Issue Editors

Prof. Dr. Jiann-Shing Shieh

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Guest Editor
Department of Mechanical Engineering, Graduate School of Biotechnology and Bioengineering, Graduate Program in Biomedical Informatics, Yuan Ze University, Taoyuan, Chung-Li 32003, Taiwan
Interests: intelligent analysis and control in industrial processes; bio-signal processing; anaesthesia monitoring and control; pain model and control; medical automation
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Maysam Abbod

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Guest Editor
Department of Electronic and Electrical Engineering, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UB8 3PH, United Kingdom
Interests: artificial intelligence; modelling and control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Industry 5.0 represents the customized digital transformation of industry. Instead of focusing on the invention of new technology, customized digital transformation cares about how to utilize Industry 4.0 technologies and their integrations to fulfill a human-centric digital transformation. The nine pillars of Industry 4.0 are Industrial Internet of Things (IIoT), Simulation and Digital Twin, Autonomous Robots, Big Data, Virtual Reality and Augmented Reality, Cybersecurity, Cloud Connectivity/Computing, Additive Manufacturing, and Universal Integration. Each step toward digitization, digitalization, and digital transformation for all industries should be customized to meet the demands regarding Environmental, Social, and Governance (ESG) purposes. The trend of mass personalization for solutions (in B2B) or production (in B2C) asks every industry to embrace the coming of a new era. How to use intelligent sensors and its applications to accelerate the customized digital transformation for industry and leverage their domain knowledge are the keys for constructing a sustainable and resilient enterprise in Industry 5.0.

We invite researchers to contribute relevant original research papers or comprehensive reviews to this Special Issue on the “Industry 5.0: How Intelligent Sensors and Its Applications Accelerate Customized Digital Transformation for Industry”. Your contributions will advance the effort toward realizing Industry 5.0.

Prof. Dr. Jiann-Shing Shieh
Dr. Maysam Abbod
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (3 papers)

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Research

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13 pages, 5521 KiB  
Communication
The Application of a Self-Made Integrated Three-in-One Microsensor and Commercially Available Wind Speed Sensor to the Cold Air Pipe of the Heating, Ventilation, and Air Conditioning in a Factory for Real-Time Wireless Measurement
by Chi-Yuan Lee, Jiann-Shing Shieh, Jerry Chen, Xin-Wen Wang, Chen-Kai Liu and Chia-Hsin Wei
Sensors 2023, 23(9), 4471; https://doi.org/10.3390/s23094471 - 04 May 2023
Cited by 1 | Viewed by 1567
Abstract
In this study, the integrated three-in-one (temperature, humidity, and wind speed) microsensor was made through the technology of the Micro-electro-mechanical Systems (MEMS) to measure three important physical quantities of the internal environment of the cold air pipe of the Heating, Ventilation and Air [...] Read more.
In this study, the integrated three-in-one (temperature, humidity, and wind speed) microsensor was made through the technology of the Micro-electro-mechanical Systems (MEMS) to measure three important physical quantities of the internal environment of the cold air pipe of the Heating, Ventilation and Air Conditioning (HVAC) in the factory, plan the installation positions of the integrated three-in-one microsensor and commercially available wind speed sensor required by the internal environment of the cold air pipe, and conduct the actual 310-h long term test and comparison. In the experiment, it was also observed that the self-made micro wind speed sensor had higher stability compared to the commercially available wind speed sensor (FS7.0.1L.195). The self-made micro wind speed sensor has a variation range of ±200 mm/s, while the commercially available wind speed sensor a variation range of ±1000 mm/s. The commercially available wind speed sensor (FS7.0.1L.195) can only measure the wind speed; however, the self-made integrated three-in-one microsensor can conduct real-time measurements of temperature and humidity according to the environment at that time, and use different calibration curves to know the wind speed. As a result, it is more accurate and less costly than commercially available wind speed sensors. The material cost of self-made integrated three-in-one microsensor includes chemicals, equipment usage fees, and wires. In the future, factories may install a large number of self-made integrated three-in-one microsensors in place of commercially available wind speed sensors. Through real-time wireless measurements, the self-made integrated three-in-one microsensors can achieve the control optimization of the HVAC cold air pipe’s internal environment to improve the quality of manufactured materials. Full article
(This article belongs to the Special Issue Industry 5.0: How Intelligent Sensors and Its Applications Accelerate Customized Digital Transformation for Industry)
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21 pages, 5544 KiB  
Article
Evaluation of Growth Responses of Lettuce and Energy Efficiency of the Substrate and Smart Hydroponics Cropping System
by Monica Dutta, Deepali Gupta, Sangeeta Sahu, Suresh Limkar, Pawan Singh, Ashutosh Mishra, Manoj Kumar and Rahim Mutlu
Sensors 2023, 23(4), 1875; https://doi.org/10.3390/s23041875 - 07 Feb 2023
Cited by 20 | Viewed by 6847
Abstract
Smart sensing devices enabled hydroponics, a concept of vertical farming that involves soilless technology that increases green area. Although the cultivation medium is water, hydroponic cultivation uses 13 ± 10 times less water and gives 10 ± 5 times better quality products compared [...] Read more.
Smart sensing devices enabled hydroponics, a concept of vertical farming that involves soilless technology that increases green area. Although the cultivation medium is water, hydroponic cultivation uses 13 ± 10 times less water and gives 10 ± 5 times better quality products compared with those obtained through the substrate cultivation medium. The use of smart sensing devices helps in continuous real-time monitoring of the nutrient requirements and the environmental conditions required by the crop selected for cultivation. This, in turn, helps in enhanced year-round agricultural production. In this study, lettuce, a leafy crop, is cultivated with the Nutrient Film Technique (NFT) setup of hydroponics, and the growth results are compared with cultivation in a substrate medium. The leaf growth was analyzed in terms of cultivation cycle, leaf length, leaf perimeter, and leaf count in both cultivation methods, where hydroponics outperformed substrate cultivation. The results of the ‘AquaCrop simulator also showed similar results, not only qualitatively and quantitatively, but also in terms of sustainable growth and year-round production. The energy consumption of both the cultivation methods is compared, and it is found that hydroponics consumes 70 ± 11 times more energy compared to substrate cultivation. Finally, it is concluded that smart sensing devices form the backbone of precision agriculture, thereby multiplying crop yield by real-time monitoring of the agronomical variables. Full article
(This article belongs to the Special Issue Industry 5.0: How Intelligent Sensors and Its Applications Accelerate Customized Digital Transformation for Industry)
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Review

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20 pages, 1278 KiB  
Review
Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations
by Saqib Saeed, Salha A. Altamimi, Norah A. Alkayyal, Ebtisam Alshehri and Dina A. Alabbad
Sensors 2023, 23(15), 6666; https://doi.org/10.3390/s23156666 - 25 Jul 2023
Cited by 8 | Viewed by 9967
Abstract
This systematic literature review explores the digital transformation (DT) and cybersecurity implications for achieving business resilience. DT involves transitioning organizational processes to IT solutions, which can result in significant changes across various aspects of an organization. However, emerging technologies such as artificial intelligence, [...] Read more.
This systematic literature review explores the digital transformation (DT) and cybersecurity implications for achieving business resilience. DT involves transitioning organizational processes to IT solutions, which can result in significant changes across various aspects of an organization. However, emerging technologies such as artificial intelligence, big data and analytics, blockchain, and cloud computing drive digital transformation worldwide while increasing cybersecurity risks for businesses undergoing this process. This literature survey article highlights the importance of comprehensive knowledge of cybersecurity threats during DT implementation to prevent interruptions due to malicious activities or unauthorized access by attackers aiming at sensitive information alteration, destruction, or extortion from users. Cybersecurity is essential to DT as it protects digital assets from cyber threats. We conducted a systematic literature review using the PRISMA methodology in this research. Our literature review found that DT has increased efficiency and productivity but poses new challenges related to cybersecurity risks, such as data breaches and cyber-attacks. We conclude by discussing future vulnerabilities associated with DT implementation and provide recommendations on how organizations can mitigate these risks through effective cybersecurity measures. The paper recommends a staged cybersecurity readiness framework for business organizations to be prepared to pursue digital transformation. Full article
(This article belongs to the Special Issue Industry 5.0: How Intelligent Sensors and Its Applications Accelerate Customized Digital Transformation for Industry)
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