LEADER 12267nam 22008055 450 001 9910728950103321 005 20251116192325.0 010 $a9789819934249 010 $a9819934249 024 7 $a10.1007/978-981-99-3424-9 035 $a(MiAaPQ)EBC30558428 035 $a(Au-PeEL)EBL30558428 035 $a(OCoLC)1381095634 035 $a(DE-He213)978-981-99-3424-9 035 $a(BIP)091289492 035 $a(PPN)270614273 035 $a(CKB)26816391800041 035 $a(EXLCZ)9926816391800041 100 $a20230531d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHuman Centred Intelligent Systems $eProceedings of KES-HCIS 2023 Conference /$fedited by Alfred Zimmermann, R.J. Howlett, Lakhmi C. Jain 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (182 pages) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v359 311 08$aPrint version: Zimmermann, Alfred Human Centred Intelligent Systems Singapore : Springer Singapore Pte. Limited,c2023 9789819934232 327 $aIntro -- Preface -- Organization -- Contents -- About the Editors -- Human-Centred Intelligent Systems -- Leveraging Open Innovation Practices Through a Novel ICT Platform -- 1 Introduction -- 2 ICT-Based Open Innovation Platforms -- 3 The Proposed Solution -- 3.1 Argumentation-Based Collaboration -- 3.2 Discourse Analysis -- 3.3 Position Summarization -- 4 Preliminary Evaluation -- 5 Conclusions -- References -- Advanced Analytics for Smart Farming in a Big Data Architecture Secured by Blockchain and pBFT -- 1 Introduction -- 2 Blockchain from Data Processing Perspective -- 2.1 Blockchain Data Structure and Transactions -- 2.2 Private and Public Blockchain -- 2.3 Practical Byzantine Fault Tolerance -- 3 Smart Farming and Smart City Data Analytics -- 3.1 Business Analysis for Smart Farming -- 4 Smart Systems Oriented Big Data Architecture (SSOBDA) -- 5 Architectural Requirements to Combine Big Data Architecture with Blockchain -- 5.1 Theoretical Physical Architecture -- 5.2 Deployed Physical Architecture -- 5.3 Functional Architecture -- 6 Conclusion and Perspective -- References -- Ultrasound-Coupled Electrocoagulation Based Azo Dye Fading Rate Prediction Using Deep Neural Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Electrocoagulation -- 2.2 Ultrasound -- 2.3 Ultrasound-Coupled with Electrocoagulation -- 3 Data Analytics -- 3.1 Data Set Overview -- 3.2 Data Set Descriptive Statistics -- 3.3 Pearson Correlation -- 3.4 Deep Neural Network -- 4 Conclusion -- References -- Digital Strategy and Architecture for Human-Centered Intelligent Systems -- 1 Introduction -- 2 Smart Digitalization -- 3 Human-Centered Intelligent Systems -- 4 Digital Strategy -- 5 Intelligent Service Architecture -- 6 Conclusion -- References -- Smart Energy Management System: Methodology for Open-Pit Mine Power Grid Monitoring Applications -- 1 Introduction. 327 $a2 Related Works -- 2.1 The Design of an Internet of Things-Based Energy Monitoring System -- 2.2 The Role of Strategic Energy Management in the Environment of Industry 4.0 -- 3 Methodology and Metrics for Measuring Energy Efficiency -- 3.1 ISO 50001: Energy Management System -- 3.2 Plan, Do, Check, Act (PDCA) -- 3.3 Adoption of a Standard Operating Procedure for the Energy Management System -- 3.4 Metrics for Measuring Energy Efficiency -- 4 Material and Proposed Solution -- 4.1 System Structure -- 4.2 Sepam S40 -- 4.3 Application -- 5 Results and Discussions -- 6 Conclusion and Perspectives -- References -- Intelligent Transport Systems -- Communication Trends, Research Challenges in Autonomous Driving and Different Paradigms of Object Detection -- 1 Introduction -- 2 Connected Autonomous Vehicle Architecture -- 2.1 Computing Technologies -- 2.2 AI and Deep Learning Application in Autonomous Vehicle -- 3 Object Detection in Autonomous Environment -- 4 Challenges in Future Autonomous Vehicle Technology -- 5 Conclusion and Perspective -- References -- Investigation in Automotive Technologies Transitions -- 1 Introduction -- 2 Autonomous and Electric Vehicles Overview -- 3 Research Methodology -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- An Investigation in Autonomous Vehicles Acceptance -- 1 Introduction -- 1.1 Levels of Autonomy in Driving -- 2 Technology Acceptance Framework -- 3 Survey Data Analysis -- 4 Conclusion -- References -- Edge Computing Technologies for Mobile Computing and Internet of Things (3rd Edition) -- Can Business Be Sustainable: A Case Study of the Information Technology Sector -- 1 Introduction -- 2 Sustainable Development -- 2.1 Climate -- 2.2 Resource Use -- 2.3 Toxic Substances -- 2.4 Freshwater -- 2.5 Ecosystem Pressure -- 3 Business Sustainability -- 3.1 New Vision of Business Drivers. 327 $a3.2 Conceptual Frameworks -- 3.3 Benefits of Incorporating Sustainability in Businesses -- 4 Technological Business Sustainability -- 4.1 How Technology Contributes to Unsustainable Development -- 4.2 Solutions to Alleviate the Impacts of Technology on the Climate -- 5 How Artificial Intelligence Can Help Businesses Achieve Sustainability -- 5.1 Using AI to Reduce Waste -- 5.2 Using AI to Improve Quality Control -- 5.3 Using Artificial Intelligence to Improve Digital Twin Technology -- 5.4 Using Artificial Intelligence to Improve Product Maintenance -- 6 Conclusion -- References -- Smart University: Project Management of Information Infrastructure Based on Internet of Things (IoT) Technologies -- 1 Introduction and Literature Review -- 1.1 Managing the Development of IoT Technology as the Main Element of the Digital Smart Infrastructure -- 1.2 Analysis of the IoT Ecosystem and Features of IoT Projects for Smart Universities -- 1.3 The Problem, Goals and Objectives of the Study -- 2 The Concept of Forming a Criteria System for Evaluating the Features of IoT Projects and Their Implementation for the Information Infrastructure Development of a Smart University -- 3 Development of an Adaptive Flexible Approach Model to IoT Project Management -- 4 Conclusion and Next Steps -- References -- Smart Manufacturing: Intelligent Infrastructure Based on Industry 4.0 Technologies -- 1 Introduction and Literature Review -- 1.1 Analysis of the Pandemic Problems and Consequences for the Industry and Its Digitalization Processes -- 1.2 Digital Analytics and the Introduction of a Cybernetic Approach to the Industrial Enterprise Management -- 1.3 The Problem, Goals and Objectives of the Study -- 2 Levels of Digital Maturity of an Industrial Enterprise -- 3 Designing the Digital Infrastructure of Smart Manufacturing -- 4 Conclusion and Next Steps -- References. 327 $aTowards an Optical IoT-Based Power Transformer's Insulating Paper Monitoring -- 1 Introduction -- 2 Experimental -- 2.1 Thermal Aging -- 2.2 Degree of Polymerization (DP) -- 2.3 The Reflectance Measurement Setup -- 3 Results and Discussion -- 4 Conclusion -- References -- Digital Enterprise Architecture for Human-Centric Intelligent Systems in Manufacturing, Financial, and Others -- ChatGPT, How to Wire Age 5.0 Mindsets: Industry, Society, Healthcare and Education? -- 1 Introduction -- 2 ChatGPT What is Industry 4.0? -- 3 Society 5.0 -- 4 ChatGPT What is Healthcare 5.0? -- 4.1 Healthcare 5.0 -- 5 Education 5.0 -- 6 Conclusion -- References -- Designing Performance Indicator in Human-Centered Agile Development -- 1 Introduction -- 2 Related Research -- 2.1 Performance Evaluation -- 2.2 Quality Management System -- 2.3 Adaptive Integrated Digital Architecture Framework -- 2.4 Design Thinking Approach -- 2.5 Agile Development Approach -- 3 Proposal of Strategic Performance Indicator Deriving Framework for Design Thinking Approach -- 3.1 Concept Phase: Performance of Prototype for User -- 3.2 Design Phase: Performance of Business Model/Business Process -- 3.3 Development Phase: Performance of Prototypes for Business/Society -- 3.4 Operation Phase: Performance of Actual Operation -- 4 Discussion -- 4.1 Performance Indicators in Human-Centered Agile Development -- 4.2 Dynamic Management of Performance Indicators in the Process of Digital Transformation -- 4.3 Future Research -- 5 Conclusion -- References -- Human-Centred Design Thinking Using the Intelligence Amplification Design Canvas and the Adaptive Integrated Digital Architecture Framework -- 1 Introduction -- 2 Related and Earlier Work -- 2.1 ISO 9241-210:2019 for HCD -- 2.2 Earlier Work -- 3 Methodology -- 3.1 Application of the ISO 9241-210:2019 for HCD -- 3.2 Exploratory Research. 327 $a4 HCDT Approach with the AIDAF and IA Design Canvas -- 4.1 Positioning HCD and DT as Part of the AIDAF -- 4.2 AIDAF for DT Approach with the IA Design Canvas -- 4.3 Testable Propositions for DT and Prototyping -- 4.4 Testable Propositions for Enterprise System Development -- 5 Conclusion -- References -- Applying AIDAF for Digital Transformation Toward Ecosystem in Global Enterprise -- 1 Introduction -- 2 Related Works -- 2.1 Digital IT and EA for Digital Healthcare, Manufacturing, Smart Energy -- 2.2 Industry 4.0 and Society 5.0 -- 2.3 AIDAF Framework -- 3 Digital Transformation Process of Adaptive Enterprise Architecture - FSAO Approach -- 4 Cases of Digital Transformation in Enterprise and Ecosystem -- 4.1 GHE Case in Enterprise to Healthcare Ecosystem (Big Data) -- 4.2 GMC Case (Digital Products) from Enterprise to Ecosystems -- 4.3 Americas Hospital Case from Enterprise to Ecosystem (Digital Platform) -- 4.4 Smart City Case Directly to Ecosystem -- 5 Discussion and Challenges -- 6 Conclusion and Next Research -- References -- Author Index. 330 $aThe volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2023 (KES HCIS 2023), held in Rome, Italy on June 14?16, 2023. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v359 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aCooperating objects (Computer systems) 606 $aInternet of things 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aUser Interfaces and Human Computer Interaction 606 $aCyber-Physical Systems 606 $aInternet of Things 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 0$aCooperating objects (Computer systems) 615 0$aInternet of things. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aCyber-Physical Systems. 615 24$aInternet of Things. 676 $a004.019 700 $aZimmermann$b Alfred$0708604 701 $aHowlett$b R. J$01361154 701 $aJain$b L. C$01601441 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910728950103321 996 $aHuman Centred Intelligent Systems$94475781 997 $aUNINA