Artificial Intelligence and Industry 4.0: The Next Frontier in Industry

Artificial Intelligence and Industry 4.0
Copyright
Contributors
Influence and implementation of Industry 4.0 in health care
Introduction
Industry 1.0 to 4.0
Healthcare 1.0 to 4.0
Literature review
Big data in health care
Internet of Things in the healthcare sector
Blockchain technology in the healthcare sector
Applications in healthcare 4.0
Observing physiological and pathological signals
Self-management, wellness monitoring, and prevention
Smart pharmaceuticals and monitoring of medication intake
Personalized healthcare system
Cloud-based health information systems
Telepathology, telemedicine, and disease monitoring
Assisted living
Rehabilitation
Case studies
Conclusion
The recent innovations and research solutions of Industry 4.0 in healthcare sector
References
Impact of artificial intelligence in the healthcare sector
Introduction
Literature review
AI in health care
Utilization of AI in health care in India
Hospitals
Pharmaceuticals
Diagnostics
Medical equipment and supplies
Health insurance
Telemedicine
Research framework and development of hypotheses
Technological perspective (TP)
Cost-effectiveness (CE)
Relative advantage (RA)
Security and privacy concerns (SPC)
Complexity (COMP)
Organizational perspective (OP)
HR readiness (HRR)
Top management support (TMS)
Organizational readiness (ORR)
Environmental perspective (EP)
Competitive pressure (CP)
Support from technology vendors (STV)
Environmental uncertainty (EU)
Research methodology
Demographics of the respondents
Data analysis
Reliability and validity
Cronbachs alpha
Composite reliability
Harman test
Exploratory factor analysis (EFA)
Construct validity (CV)
Structural equation modeling
Discussion
Technological perspective (TP)
Organizational perspectives (OP)
Environmental perspectives (EP)
Conclusion
Limitations and future scope of the study
Appendix A. Measurement items
Appendix B. Questionnaire
References
Embedded system for model characterization developing intelligent controllers in industry 4.0
Introduction
Theoretical framework
Processing unit Raspberry PI
Analogic digital converter ADS1115
Genetic algorithms
Population
Selection
Crossover operation
Mutation
Transfer function
First-order systems
Second-order systems
Methods
General description of the identification process
Time analysis for the transfer functions
Fitness function for characterizing TFs
First-order systems fitness function
Second-order systems fitness function
Results and discussion
Design of experiment
Results
Configuration of parameters in the optimization algorithm
First-order transfer function
Second-order transfer function
Discussion
Integration of the proposed algorithm into industry 4.0
Conclusions
Future work
References
Industry 4.0 multiagent system-based knowledge representation through blockchain
Introduction
Literature survey
What is industry 4.0
Virtual Sensors in Intelligent industry
Intelligent model virtual sensor description
Clustering
Opinion analysis
Trends
Industry 4.0 vertical integration
What is blockchain
Blockchain as the industry engine 4.0
Blockchain-based conventional networks
Decision making concept
What is ambient intelligence
Industry as a smart environment
Sensors
Decision-making in ambient intelligence
Better decision-making in industry
Multiagent systems
Blockchain for the representation of knowledge from multiagent systems
Multiagent systems in industry
Model presentation
Comparison between the existing model and our proposed model
Country-wise comparison of multiagent-based industry 4.0
Conclusion and future work
References
Artificial Intelligence: A tool to resolve thermal behavior issues in disc braking systems
Introduction
Artificial Intelligence in the automobile sector
AI in automobile disc braking systems
Notable brake complaints observed at servicing centers
Literature survey
Application of AI to resolve thermal problems during long braking
Results and conclusion
Future scope
References
Proposal of a smart framework for a transportation system in a smart city
Introduction
Literary review
Spider monkey optimization
Structure of fission-fusion culture
Spider monkey conduct
Social conduct
Spider monkey optimization process
Application methodology SMO
SMO parameters
Practical application
Initial conditions
SMO control parameters
Discussion of results
Conclusions
References
Society 5.0: Effective technology for a smart society
Introduction
Literature review
Industrial revolutions
Industry 1.0
Industry 2.0
Industry 3.0
Industry 4.0
The concept of Society 5.0 and artificial intelligence
The transition process from Industry 4.0 to Society 5.0
The concept of Society 5.0
The factors that reveal Society 5.0
The goals of Society 5.0
The innovations provided by Society 5.0
The relationship between Society 5.0 and artificial intelligence
The obstacles to Society 5.0
Conclusions
Recommendations and future scope
References
Big data analytics for strategic and operational decisions
Introduction
Overview
Business analytics
Type of analytics
Big data analytics
Enterprise Big data sources
Opportunities
Challenges
Proposed solution
Case study
Results and discussion
Conclusion
References
Person-based automation with artificial intelligence Chatbots: A driving force of Industry 4.0
Introduction
Chatbots
Role of Chatbots in Industry 4.0
Importance of Chatbots
Key concepts
Pattern matching
Artificial Intelligence Markup Language (AIML)
Latent semantic analysis (LSA)
Chat script
Natural language unit (NLU)
Popular Chatbots
NBC Chatbot
A.L.I.C.E
Chapter organization
Related work
History of Chatbots
Machine learning and artificial intelligence algorithms in Chatbots
Models of Chatbots
The selective model
The generative model
Selective vs. generative models
Challenges in Chatbot implementation
Machine learning in Chatbots for sentiment analysis
Proposed work
The general architecture of Chatbots
Analyzing user request
Proposed model
Applications of Chatbots
Weaknesses of Chatbots and scope for improvement
Results and discussion
Conclusion and future work
References
Index