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E-raamat: Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain

Edited by (INTI International University, Malaysia)
  • Formaat: EPUB+DRM
  • Sari: Control, Robotics and Sensors
  • Ilmumisaeg: 02-Aug-2022
  • Kirjastus: Institution of Engineering and Technology
  • Keel: eng
  • ISBN-13: 9781839534157
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Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and BlockchainSuurem pilt
  • Formaat: EPUB+DRM
  • Sari: Control, Robotics and Sensors
  • Ilmumisaeg: 02-Aug-2022
  • Kirjastus: Institution of Engineering and Technology
  • Keel: eng
  • ISBN-13: 9781839534157
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Advanced technologies such as robotics, 5G mobile communications, IoT, cloud computing and wireless sensor networks have had a huge impact and influence on manufacturing, with an increased collaboration between humans and smart systems. As the manufacturing process becomes more automated using real-time data, communication systems, Artificial Intelligence (AI) techniques and robotics feed data back into the manufacturing process. This enables the design of products that are more customized and personal, and leads to a more competitive, efficient and value-added production process by reacting quicker to technical or human errors to avoid product and system damage while increasing workplace safety, and reducing waste, pollution, and associated costs.

This edited book covers challenges, concepts, systems, architectures, technologies, and design characteristics of human-machine cooperation and interaction systems in smart manufacturing environments using state of the art technologies including AI, 5G, IoTs, Blockchains, CPS, sensing, automation and robotics.

The book is aimed at researchers and engineers working on the applications of robotics and automation, HMI, HCI, CPS, sensing, information and communications technology, data science, ML/DL/AI, AR/VR, cybersecurity and electronics. It is also a useful reference for advanced students and lecturers in these fields, and will appeal to manufacturers and automation system developers.



This edited book covers challenges, concepts, systems, architectures, technologies, and design characteristics of human-machine cooperation and interaction systems in smart manufacturing environments using state of the art technologies including artificial intelligence, 5G, IoTs, Blockchains, CPS, sensing, automation and robotics.

About the editor xix
1 Introduction to HMI--current and future, systems, features, and benefits Human-machine interfaces in smart manufacturing
1(8)
R. Kamalakannan
S. Satheesh Kumar
Tan Koon Tatt
S. Siva Sundar
1.1 HMI on a growth drive
1(1)
1.2 Origins of smart manufacturing
2(1)
1.3 HMIs
3(3)
1.3.1 Industry 4.0
5(1)
1.3.2 Cause and development of the term
5(1)
1.4 HMI features
6(1)
1.5 HMI benefits
6(1)
1.6 Disadvantages of HMI
7(1)
1.7 Total global HMI dedicated AR/VR devices 2020-2030
7(2)
References
7(2)
2 Human-machine interaction (HMI) technology--Malaysia National Technology Roadmap Industry4WRD leading the human intelligence transformation in smart manufacturing
9(14)
Chee Fui
Wong
2.1 Smart manufacturing--a global overview
9(1)
2.2 Malaysia smart manufacturing using HMI technologies--the call for a national policy in Malaysia
10(3)
2.2.1 Industry4WRD: Malaysia national policy roadmap for HMI technologies
12(1)
2.2.2 Shift factors in Malaysia national policy roadmap for smart manufacturing using HMI technologies
12(1)
2.3 Convergence of emerging technologies
13(2)
2.4 Malaysia readiness for Industry 4.0
15(3)
2.5 Industry4WRD--framework
18(1)
2.5.1 Industry4WRD objectives
18(1)
2.5.2 Industry4WRD strategic enabler
19(1)
2.5.3 Industry4WRD readiness assessment
19(1)
2.6 Case study--Pentamaster--embracing Industry 4.0 automation
19(2)
2.6.1 Background
19(1)
2.6.2 Pentamaster implementation of Industry 4.0
20(1)
2.6.3 Pentamaster implementation of Industry 4.0
20(1)
2.7 Conclusion--moving forward
21(2)
References
21(2)
3 Challenges and impact of human-machine interaction systems in smart manufacturing
23(12)
Alex Looi Tink Huey
3.1 Smart manufacturing
24(3)
3.2 HMI
27(8)
3.2.1 Socio-technical approach in HMI
27(4)
3.2.2 Framework of HMI
31(2)
References
33(2)
4 Robotics and autonomous systems in smart manufacturing
35(24)
Abonab Nasser Salem Ali
Wai Yie Leong
4.1 Introduction
35(7)
4.1.1 Development of robots
37(1)
4.1.2 Future of robotics
38(4)
4.2 Introduction to autonomous systems
42(8)
4.2.1 Concept of robotics laws
47(3)
4.2.2 Communication system used in robotics
50(1)
4.2.3 Advantages of robots
50(1)
4.2.4 Disadvantages of robots
50(1)
4.3 Fifth industrial revolution
50(5)
4.3.1 Robotics beyond 2030
51(1)
4.3.2 Robots in architecture
52(1)
4.3.3 Five applications of robotics
52(3)
4.4 Conclusion
55(4)
References
56(3)
5 Artificial intelligence implementations in HMI for smart manufacturing
59(24)
Rian Abduallah Ba Sunbul
Wai Yie Leong
5.1 Introduction
59(1)
5.2 Applications
59(1)
5.3 Advantages and disadvantages of AI
60(5)
5.3.1 The components
61(1)
5.3.2 Working principles
61(3)
5.3.3 Conclusion
64(1)
5.4 AI technology
65(4)
5.5 The ethics of AI
69(4)
5.6 Stage of intelligence
73(1)
5.7 AI in 2030
74(4)
5.8 Conclusions
78(5)
References
79(4)
6 5G and beyond environment for smart manufacturing
83(22)
Sultan Salah Sultan Melhi
Wai Yie Leong
6.1 The current communication system
83(1)
6.2 Introduction
83(1)
6.3 Differences between 4G and 5G
84(1)
6.4 Why is 5G a big deal?
84(1)
6.5 What makes 5G faster?
84(1)
6.6 Difference between 1G, 2G, 3G, 4G, and 5G
85(1)
6.6.1 First-generation 1G
85(1)
6.6.2 Second-generation 2G
85(1)
6.6.3 Third-generation 3G
85(1)
6.6.4 Fourth-generation 4G
86(1)
6.6.5 Fifth-generation 5G
86(1)
6.7 The evolution of the 5G
86(1)
6.8 How does 5G work?
87(1)
6.9 Features and advantages of 5G technology
87(1)
6.10 Disadvantages of 5G technology
88(1)
6.11 Applications
88(1)
6.12 5G innovation
89(8)
6.12.1 Introduction to 5G innovation
89(2)
6.12.2 Past technologies
91(1)
6.12.3 Gap analysis and benchmarking analysis
92(1)
6.12.4 Benchmarking analysis
93(1)
6.12.5 Suitable concept(S) law (S) for 5G
94(1)
6.12.6 Mathematical model(s)
94(1)
6.12.7 The communication system and modulation system for 5G
94(3)
6.13 Beyond 5G
97(4)
6.13.1 Introduction
97(1)
6.13.2 One advanced communication technology beyond 2030
98(1)
6.13.3 Features in 6G
98(1)
6.13.4 Characteristics of 6G
99(1)
6.13.5 Future system for 6G
99(1)
6.13.6 Architecture of 6G
100(1)
6.13.7 Fiye real applications on the 6G technology
101(1)
6.14 Conclusion
101(4)
References
102(3)
7 Drone supports applications in smart manufacturing
105(22)
Ba Kowaina Aseel Salem
Wai Yie Leong
7.1 Introduction
105(1)
7.2 Applications
106(1)
7.2.1 Amazon Air Service for drone transportation
106(1)
7.2.2 Automated aircraft used in agriculture
106(1)
7.2.3 Construction aircraft
106(1)
7.2.4 Advantages of drones
106(1)
7.2.5 Disadvantages of drones
107(1)
7.2.6 The component of drone
107(1)
7.3 Future of drone technology
107(2)
7.4 The history of drone
109(1)
7.5 The working principle of drone
110(1)
7.6 Conclusion
111(1)
7.7 Introduction to drone use
112(5)
7.8 Data collection and analysis
117(1)
7.9 Applications
118(1)
7.10 Conclusion
118(1)
7.11 Introduction to drone and telecommunications
118(3)
7.12 What is 6G technology?
121(1)
7.13 6G concept
121(1)
7.14 What do we expect from the 6G?
121(1)
7.15 Service requirements
122(2)
7.16 Applications of 6G
124(1)
7.17 Conclusion
124(3)
References
125(2)
8 VoIP technology in manufacturing
127(24)
Mohammed Mohammed Moqbel Ali
Wai Yie Leong
8.1 Introduction
127(1)
8.1.1 What does VoIP means?
127(1)
8.2 History of VoIP technology
127(2)
8.3 Technology working principle
129(1)
8.4 Specialized activity steps
129(1)
8.5 Requirements for the technology to work
129(1)
8.6 Some of the benefits of the VoIP technology
129(1)
8.7 Minimize cost
130(1)
8.8 Mobility
131(1)
8.9 Scalability
131(1)
8.10 Features
131(1)
8.11 Easy to use
131(1)
8.12 VoIP technology standards
131(2)
8.12.1 Closed systems
132(1)
8.12.2 Open systems
132(1)
8.13 How VoIP is transferred?
133(3)
8.13.1 NAT diagram
134(1)
8.13.2 Advantages of VoIP
135(1)
8.13.3 Disadvantages of VoIP
135(1)
8.13.4 What to look for in a VoIP provider?
135(1)
8.14 Literature review
136(6)
8.14.1 Introduction
136(4)
8.14.2 Conclusion
140(2)
8.15 Beyond 2030
142(9)
8.15.1 Introduction
142(1)
8.15.2 Beyond 2030 in 6G technology and the improve for VoIP
143(4)
8.15.3 The disturbance brought by these correspondence advances
147(1)
8.15.4 Conclusion
148(1)
References
148(3)
9 Industrial Internet of Things solutions in smart manufacturing
151(32)
Naqid Marzoq Abdulmalek
Wai Yie Leong
9.1 Introduction
151(1)
9.2 Application area
152(7)
9.3 IoT principle
159(1)
9.4 Conclusions
160(1)
9.5 IoT vs Artificial Intelligence, RFID, and wireless communication
160(1)
9.6 Introduction
160(1)
9.7 Discussion
161(7)
9.8 Introduction
168(8)
9.9 Future application
176(3)
9.10 Conclusion
179(4)
References
179(4)
10 Metal powder bed fusion: an overview on processes, materials, and challenges
183(10)
Tan Koon Tatt
Khairur Rijal Jamaludin
Sivakumar Paramasivam
10.1 Introduction
183(1)
10.2 Metal powder bed fusion process
184(3)
10.2.1 Direct metal laser sintering (DMLS) and selective laser sintering (SLS)
184(1)
10.2.2 Selective laser melting (SLM)
185(1)
10.2.3 Electron beam melting (EBM)
186(1)
10.3 Materials used in metal powder bed fusion processes
187(2)
10.3.1 Steel
187(1)
10.3.2 Titanium alloys
188(1)
10.3.3 Aluminum alloys
188(1)
10.3.4 Nickel-chromium alloys
188(1)
10.3.5 Cobalt-chromium alloys
188(1)
10.4 Key challenges
189(1)
10.5 Size of the global market and future trend
189(1)
10.6 Conclusion
190(3)
References
191(2)
11 3D processing for human-machine interaction and additive manufacturing
193(30)
Mohankumar Palaniswamy
11.1 Manufacturing process
193(1)
11.2 Human-machine interaction
194(6)
11.3 3D processing
200(1)
11.4 Additive manufacturing
201(8)
11.4.1 3D processing to 3D model
202(2)
11.4.2 Materials used
204(1)
11.4.3 Postprocessing
204(5)
11.5 3D printing in medical healthcare
209(3)
11.6 3D printing in food science
212(2)
11.7 Future aspects
214(3)
11.8 Limitations
217(6)
References
218(5)
12 Augmented reality technology in smart manufacturing
223(28)
Ranen Samer Alfakkih
Leong Wai Yie
12.1 Augmented reality technology
223(7)
12.1.1 Introduction
223(1)
12.1.2 Brief history
224(1)
12.1.3 How does AR work
225(1)
12.1.4 Application of AR technology
225(1)
12.1.5 Future of AR
226(1)
12.1.6 Advantages
227(1)
12.1.7 Disadvantages
227(1)
12.1.8 Statistics of AR
227(2)
12.1.9 Conclusion
229(1)
12.2 Literature review
230(11)
12.2.1 Introduction
230(2)
12.2.2 AR in education
232(1)
12.2.3 Advantages of using AR in education
233(1)
12.2.4 AR in video game
234(1)
12.2.5 AR in healthcare
234(2)
12.2.6 Healthcare-focused AR apps
236(1)
12.2.7 AR technology is in nascent stages of market penetration
236(2)
12.2.8 AR in glasses
238(1)
12.2.9 AR in business
238(1)
12.2.10 Conclusion
238(3)
12.3 Industry Revolution 5.0
241(10)
12.3.1 Introduction
241(1)
12.3.2 AR technology characteristics
241(1)
12.3.3 AR features
242(1)
12.3.4 Future system standards include
242(1)
12.3.5 5G smart city
242(1)
12.3.6 Future of commercial transportation - Toyota e-Palette
242(1)
12.3.7 Applications
243(2)
12.3.8 Complete anatomy
245(1)
12.3.9 Conclusion
245(1)
References
246(5)
13 Extended reality on smart manufacturing
251(30)
Dhasaani Raj
Leong Wai Yie
13.1 Difference between VR/AR/MR/XR
252(1)
13.2 What "R" technology can do now?
253(1)
13.3 What sensory experiences can XR simulate in the future?
254(2)
13.4 Current statistics of XR simulate
256(2)
13.5 What security issues will XR encounter?
258(1)
13.6 Concept of XR
259(1)
13.7 AR in education
260(1)
13.8 Advantages of AR in education
260(2)
13.9 Disadvantages of AR in education
262(1)
13.10 Previous technologies on XR
263(5)
13.11 What is the concept of XR in 2030?
268(1)
13.12 The future of VR, livable VR technology
269(3)
13.12.1 Can be used continuously for a long time
270(1)
13.12.2 Can be used at high frequency for a long time
270(1)
13.12.3 Support basic survival maintenance system needs
271(1)
13.13 Current application of XR technology
272(3)
13.14 AR glasses in the future
275(1)
13.15 Conclusion
276(5)
References
277(4)
14 Intelligent transportation systems
281(32)
Mohsen Sahal Mohsen Fadhl
Wai Yie Leong
14.1 Introduction
281(1)
14.2 Intelligenttransportation system
282(1)
14.3 Types of ITS
282(1)
14.4 The necessities of this system
282(1)
14.5 Statistics of the car connections
283(3)
14.6 History
286(2)
14.7 How connected vehicles work
288(1)
14.8 Literature review (introduction)
289(1)
14.9 Fundamental autonomous vehicle technology
290(1)
14.10 Intelligent driver model (IDM)
290(2)
14.11 Vehicle networking
292(1)
14.12 Enabling technologies
292(5)
14.13 Modulation system in intelligent vehicles
297(1)
14.14 Advantages and disadvantages of SM
298(1)
14.15 Gap analysis and benchmarking
298(1)
14.16 Industry Revolution 5.0
299(1)
14.17 Important technologies in intelligent transportation system
299(2)
14.18 Smart transportation architectures
301(4)
14.19 Intelligent transportation applications
305(4)
14.20 Conclusions
309(4)
References
309(4)
15 Optical fibres for data interoperability and real-time production tracking in medical manufacturing
313(26)
Bandar Khalid Al-Kudaini
Wai Yie Leong
15.1 Current technology
313(7)
15.1.1 Optical fibre in modern technology
313(1)
15.1.2 Optical fibre communication in the twenty-first century
314(1)
15.1.3 Statistics and graphs
315(2)
15.1.4 Trends of optical fibre
317(1)
15.1.5 History search and who developed it
318(1)
15.1.6 Types of optical fibres
319(1)
15.1.7 How optical fibres work and how it conducts light
320(1)
15.2 Literature review
320(7)
15.2.1 Introduction
320(3)
15.2.2 Comparison between DSL, cable Internet lines and fibre optics
323(1)
15.2.3 Gap analysis and benchmarking
323(1)
15.2.4 Mathematical model of the transmission of light in optical fibre
323(3)
15.2.5 Snell's law
326(1)
15.2.6 Modulation system in optical fibre
327(1)
15.3 Beyond 2030
327(12)
15.3.1 Industrial Revolution 5.0
327(1)
15.3.2 Additional technology, feature and characteristics beyond 2030
328(1)
15.3.3 Types of future systems
329(3)
15.3.4 FIVE real applications of optical fibre
332(2)
15.3.5 Conclusion
334(1)
References
335(4)
16 Human-Machine Interface for Healthcare Technology Manufacturing
339(36)
N. A. Rahman
V. Rajaratnam
16.1 The subsystems within the healthcare system
340(1)
16.1.1 Primary care system
340(1)
16.1.2 Secondary care system
341(1)
16.1.3 Tertiary care system
341(1)
16.1.4 Public health system
341(1)
16.2 The patient journey
341(1)
16.3 Healthcare stakeholders
342(1)
16.4 Impact of technology on healthcare
343(2)
16.5 Types of technology impacting healthcare
345(6)
16.6 Human-machine interface (HMI) in healthcare
351(16)
16.6.1 CPS
352(2)
16.6.2 Nanomedicine and genomics
354(1)
16.6.3 Robotic medicine
355(5)
16.6.4 Rehabilitation and robots
360(2)
16.6.5 3D printing
362(4)
16.6.6 Case studies
366(1)
16.6.7 Challenges of blockchain
367(1)
16.7 Conclusion
367(8)
References
368(7)
17 Smart manufacturing workplace safety with virtual training, AR and haptic technologies
375(26)
Bhakti Yudho Suprapto
Ahmad Farhan Aristz
Eric Sean Kesuma
Suci Dwijayanti
17.1 Introduction
375(1)
17.2 Robot design
376(1)
17.3 Fire detection using YOLO
377(2)
17.4 Shortest path using A* algorithm
379(3)
17.4.1 A* algorithm
379(1)
17.4.2 Map and node design
380(1)
17.4.3 How the robots work
381(1)
17.5 Results and discussions
382(16)
17.5.1 Position of robots and fire
382(1)
17.5.2 Collecting data for YOLO
382(1)
17.5.3 Training YOLO
383(7)
17.5.4 Evaluation of the shortest path
390(3)
17.5.5 Receiving data
393(2)
17.5.6 Evaluation of the entire system
395(3)
17.6 Conclusions
398(3)
References
399(2)
18 Blockchain technology in smart manufacturing
401(34)
Braimah Sumaina
Wai Yie Leong
18.1 Blockchain technology
401(1)
18.2 Why is blockchain popular?
401(1)
18.3 Advantages
402(1)
18.4 Disadvantages
403(1)
18.5 Blockchain technology's possibilities
403(1)
18.6 Statistics of Blockchain technology
404(2)
18.7 Inventor of blockchain technology
406(1)
18.8 The role of bitcoin
407(1)
18.9 How blockchain technology works?
407(1)
18.10 Important points
408(1)
18.11 The Blockchain three principal components
408(1)
18.12 Chain of blocks
409(1)
18.13 Literature review
410(6)
18.13.1 Introduction
410(1)
18.13.2 Methodology
410(1)
18.13.3 Blockchain in education
411(1)
18.13.4 Blockchain in cryptocurrency
412(1)
18.13.5 Blockchain in medical care
413(2)
18.13.6 Conclusion
415(1)
18.14 Comparison
416(1)
18.15 Gap analysis and benchmarking of Blockchain technology
417(3)
18.16 Industry Revolution 5.0
420(3)
18.16.1 Blockchain technology Industry Revolution 5.0
420(1)
18.16.2 Features
421(1)
18.16.3 Characteristics
422(1)
18.16.4 Architecture of blockchain technology
422(1)
18.17 Characteristics of Blockchain technology
423(1)
18.18 Professional standards of Blockchain technology
423(1)
18.19 Applications of Blockchain technology
424(5)
18.20 Conclusion
429(6)
References
430(5)
19 Reducing Waste and Pollution with Automation and CPS in Manufacturing
435(14)
Shuh Huey Ho
Nurul Izzatul Akma Katim
Mohd Sabirin Rahmat
Muhammad Sufyan Safwan Mohamad Basir
19.1 Introduction
435(1)
19.2 Waste
436(2)
19.2.1 Types of waste in manufacturing
437(1)
19.3 CPS
438(3)
19.3.1 Concept of CPS
438(2)
19.3.2 Benefit of CPS
440(1)
19.4 Architecture CPS for manufacturing
441(2)
19.5 Implementation of CPS
443(1)
19.6 CPS in waste management
443(1)
19.7 Conclusion
444(5)
References
445(4)
20 Smart manufacturing workplace safety with virtual training, AR, MR and haptic technologies
449(18)
Lee Poh Foong
20.1 What is virtual reality (VR)?
449(1)
20.2 Principle of VR
449(1)
20.3 Application of VR
450(3)
20.4 Application of VR in safety of smart manufacturing
453(1)
20.5 What is AR?
454(1)
20.6 Principle of AR
454(1)
20.7 Application of AR
455(2)
20.8 Application of AR in safety of smart manufacturing
457(1)
20.9 What is MR?
458(1)
20.10 Principle of MR
459(1)
20.11 Application of MR
459(2)
20.12 Application of MR in the safety of smart manufacturing
461(1)
20.13 What is haptic technology and its importance in VR/AR/MR in smart manufacturing?
461(6)
Conclusion
461(1)
References
462(5)
21 Conserving environment using resources wisely with reduction of waste and pollution: exemplary initiatives for Education 4.0
467(26)
Ng Khar Thoe
Masanori Fukui
Corrienna Abdul Talib
Tairo Nomura
Peter Chew Ee Teik
Rajendra Kumar
21.1 Introduction and SEAMEO LeSMaT Education 4.0 project initiative
468(3)
21.2 Development and evaluation for future HMI educational system to promote CT
471(4)
21.2.1 Background
471(1)
21.2.2 Design of this activity
472(1)
21.2.3 System overview
473(1)
21.2.4 Conclusion
474(1)
21.3 Scratchtopia Challenge as an exemplary initiative to promote CT at "elementary level
475(4)
21.4 Exemplary projects on conservation of energy and/or other resources as well as waste reduction integrating IoT concept and technological tool(s)
479(7)
21.5 Development and wise use of tools for monitoring, evaluation and research activities
486(7)
References
490(3)
22 Conserving cultural heritage, monitoring health and safety in the environment integrating technology: issues, challenges and the way forward
493(26)
Awangku Hassanal Bahar Pengiran Bagul
Khoo Nee Kah
Ng Jing Hang
Pang Yee Jiea
Ng Khar Thoe
22.1 Environmental conservation for sustainability in fulfilling SDGs
493(2)
22.2 Monitoring occupational health and safety in small and medium industrial (SMI) manufacturing sector: challenges and future direction
495(3)
22.3 Enhancing awareness on environmental and preventive healthcare for sports science supported by technology: a systematic review and suggested research
498(4)
22.4 Conserving cultural heritage through Minecraft digital tool
502(1)
22.5 Development of digital platforms to manage sustainable edutourism programmes: lessons learnt and the way forward
503(16)
Special mention
514(1)
References
515(4)
23 Rethinking and redesigning strategies related to IR4.0 to bridge the gap of human resource development in ICT industries and smart manufacturing
519(20)
Por Fei Ping
Miftahul Hidayah
Ng Khar Thoe
23.1 Lifelong learning for human resource development in the era of IR4.0
520(1)
Acknowledgment
521(1)
23.2 Redesigning strategies to enculture lifelong learning for the success of smart manufacturing
521(5)
Acknowledgment
526(1)
23.3 Designing techno-based mathematics tasks for learning geometry
526(5)
23.4 Building young minds through Minecraft digital tool to embrace smart manufacturing
531(8)
23.4.1 Special mention
533(1)
References
534(5)
24 Summary
539(8)
Wai Yie Leong
24.1 Challenges and technology roadmap for HMI for smart manufacturing
539(1)
24.2 Leading the human intelligence transformation, a technology roadmap for future HMI systems in smart manufacturing
539(1)
24.3 Human-machine interaction (HMI) in smart manufacturing
540(1)
24.4 AI implementations in HMI for smart manufacturing
540(1)
24.5 Industrial IoT in a 5G and beyond environment for smart manufacturing
541(1)
24.6 Simulations to support data analytics (DA) applications in smart manufacturing
541(1)
24.7 Cyber-physical systems engineering for manufacturing
541(1)
24.8 Industrial cloud-based solutions in smart manufacturing
542(1)
24.9 3D processing for human-machine-interaction and additive manufacturing
542(1)
24.10 Reinforcement learning for human-robot-interaction in smart manufacturing
543(1)
24.11 Networked sensing in smart manufacturing
543(1)
24.12 Intelligent autonomous systems using AI, sensing, and machine cognition in smart manufacturing
544(1)
24.13 Networked sensors for data interoperability and real-time production tracking in smart manufacturing
544(1)
24.14 Industrial automation and interoperability
544(1)
24.15 Smart manufacturing workplace safety with virtual training, AR, and haptic technologies
545(1)
24.16 Blockchain technology in smart manufacturing
545(1)
24.17 Reducing waste and pollution with automation in manufacturing
545(2)
Index 547
Wai Yie Leong is the Pro Vice Chancellor of INTI International University, Malaysia. Her specialisms are Industry 4.0 (IR4.0), wireless sensor networks, Ultra-Wideband and wireless communications, and brain signal processing for signal conditioning and classification. She is the Vice President of The Institution of Engineers Malaysia (IEM) 2020/2022, Vice President of the International Network of Women Engineers and Scientists (INWES) 2020/2023, Chairman of The Institution of Engineering and Technology (IET) Malaysian Local Network 2018/2021, IET Council Member and Committee Member of the World Federation of Engineering Organisation (Women in Engineering Committee). She holds a PhD in Electrical Engineering from The University of Queensland (UQ), Brisbane, Australia.
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