
The Future of Human-Computer Integration
Description
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By emphasising the convergence of computer technology and human interaction, readers will learn the concepts of Industry 5.0, from the fundamentals to advanced techniques, with real-world examples and case studies in different industry sectors. The authors equip readers with the knowledge to mitigate risks to ensure success in this complex human and computer synchronisation in the era of Industry 5.0. This collection of writings by experts in their respective fields invites readers to journey through the transition from Industry 4.0 to Industry 5.0. Practical insights are offered alongside cutting-edge applications, such as blockchain, the Internet of Things (IoT), QR code, and augmented reality (AR), as well as the consideration of privacy, trust, and authentication through digital signatures. Such technologies and applications hold much promise to revolutionise industries and drive innovation.
Topics in this book include the role of AI in human-computer interaction, efficient asset management using blockchain, computational thinking in program development, synergy of 5G and IoT in healthcare services, advances in increasing data capacity of QR codes, and personalised user experience with augmented reality. The authors also consider the challenges, risks, and concerns of such technologies and their applications in Industry 5.0. This book comprehensively explores Industry 5.0 from a computer science perspective as it delves into the technology aspects and tools for Industry 5.0. It offers readers a detailed understanding of how computer science intersects with Industry 5.0, how to humanise it, and its application to industry.
This book has been written for technology professionals and practitioners, especially ones in healthcare, smart systems, and the oil and gas sectors. It will serve as a useful reference for students studying such advanced courses as digital technology, digital transformation, emergent technologies, and innovation through new technologies.
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Persons
Roberto Vergallo is a Researcher at the University of Salento, Lecce, Italy. His main research topics include the application of IoT, AI, and DLT to enhance and develop new customer experiences in digital payments and digital banking.
Tito Sugiharto is the Dean of the Faculty of Computer Science at the Universitas Kuningan, West Java, Indonesia. He researches mainly in the area of interactive multimedia such as augmented reality and its applications.
Content
NORLIZA KATUK, ROBERTO VERGALLO, AND TITO SUGIHARTO
2 Artificial intelligence in Industry 5.0: Revolutionising human-computer synchronisation
NORLIZA KATUK, ABDUL REHMAN GILAL, AND SOHAIL SAFDAR
3 Blockchain for oil and gas industry asset management: Pioneering Industry 5.0 solutions
MAHDI NAFEA KHALID AL-AJWAD, RAHAYU AHMAD, AND FATHEY MOHAMMED
4 Blockchain consensus mechanism in named data networking: Enabling trust in Industry 5.0
ATHIRAH ROSLI, SUHAIDI HASSAN, AND MOHD HASBULLAH OMAR
5 Computational thinking technique for programmers:
Empowering Industry 5.0 innovators
ASMALINDA ADNAN, NUR HAFIZA JAMALUDIN, AND ROHAIDA ROMLI
6 Agile software test: Optimising quality assurance in Industry 5.0 projects
SAMERA OBAID BARRAOOD, HASLINA MOHD, FAUZIAH BAHAROM,
AND SHAFINAH FARVIN PACKEER MOHAMED
7 Smartphone penetration test: Securing Industry 5.0 mobile applications
EKA WAHYU ADITYA, NUR HARYANI ZAKARIA, FAZLI AZZALI, AND MOHAMAD NAZIM JAMBLI
8 Digital signature: Enabling trust and security in Industry 5.0 transactions
NORLIZA KATUK, NORADILA NORDIN, AND ADIB HABBAL
9 Revolutionising Industry 5.0 with the Internet of Things
NORLIZA KATUK, IJAZ AHMAD, EKATERINA CHZHAN, AND DERAR ELEYAN
10 5G-enabled IoT applications in healthcare: Transforming the Industry 5.0 healthcare landscape
MOHAMAD NAZIM JAMBLI, MOHD ZUL HAZIQ MOHD FADZLI, SINARWATI MOHAMAD SUHAILI, AND NUR HARYANI ZAKARIA
11 Enhancing data capacity of a QR code: Empowering Industry 5.0 applications
PUTERI NURUL'AIN ADIL MD SABRI, AZIZI ABAS, AND FAZLI AZZALI
12 Augmented reality meets artificial intelligence towards personalised user experience in cultural heritage sites
JULIANA AIDA ABU BAKAR, EIDLAN HADI MAZLAN HANAFI, RIMANIZA ZAINAL ABIDIN, ULKA CHANDINI PENDIT, AND HASLINA ARSHAD
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