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Artificial intelligence and sustainable computing for smart city : first international conference, AIS2C2 2021, Greater Noida, India, March 22-23, 2021 : revised selected papers / / edited by Arun Solanki [and five others]
| Artificial intelligence and sustainable computing for smart city : first international conference, AIS2C2 2021, Greater Noida, India, March 22-23, 2021 : revised selected papers / / edited by Arun Solanki [and five others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (300 pages) |
| Disciplina | 307.760285 |
| Collana | Communications in Computer and Information Science Ser. |
| Soggetto topico |
Artificial intelligence
Smart cities |
| ISBN | 3-030-82322-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464530803316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence and Sustainable Computing for Smart City : First International Conference, AIS2C2 2021, Greater Noida, India, March 22–23, 2021, Revised Selected Papers / / edited by Arun Solanki, Sanjay Kumar Sharma, Sandhya Tarar, Pradeep Tomar, Sandeep Sharma, Anand Nayyar
| Artificial Intelligence and Sustainable Computing for Smart City : First International Conference, AIS2C2 2021, Greater Noida, India, March 22–23, 2021, Revised Selected Papers / / edited by Arun Solanki, Sanjay Kumar Sharma, Sandhya Tarar, Pradeep Tomar, Sandeep Sharma, Anand Nayyar |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (300 pages) |
| Disciplina | 307.760285 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Data mining Computers Database management Artificial Intelligence Computer and Information Systems Applications Data Mining and Knowledge Discovery Computing Milieux Database Management Intel·ligència artificial Informàtica tova |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-82322-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sentimental and Emotions Analysis for Smart Cities -- Smart Specialization Strategies for Smart Cities -- Security in Smart Cities -- Advances Applications for Future Smart Cities -- Healthcare in Smart Cities -- Machine Learning Applications in Smart Cities. |
| Record Nr. | UNINA-9910495235203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Digital cities roadmap : IoT-based architecture and sustainable buildings / / edited by Arun Solanki, Adarsh Kumar and Anand Nayyar
| Digital cities roadmap : IoT-based architecture and sustainable buildings / / edited by Arun Solanki, Adarsh Kumar and Anand Nayyar |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (xxiv, 515 pages) : illustrations |
| Disciplina | 307.760285 |
| Collana | Advances in Learning Analytics for Intelligent Cloud-IoT Systems Ser. |
| Soggetto topico | Smart cities |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-5231-4333-9
1-119-79205-3 1-119-79206-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 The Use of Machine Learning for Sustainable and Resilient Buildings -- 1.1 Introduction of ML Sustainable Resilient Building -- 1.2 Related Works -- 1.3 Machine Learning -- 1.4 What is Resilience? -- 1.4.1 Sustainability and Resiliency Conditions -- 1.4.2 Paradigm and Challenges of Sustainability and Resilience -- 1.4.3 Perspectives of Local Community -- 1.5 Sustainability and Resilience of Engineered System -- 1.5.1 Resilience and Sustainable Development Framework for Decision-Making -- 1.5.2 Exposures and Disturbance Events -- 1.5.3 Quantification of Resilience -- 1.5.4 Quantification of Sustainability -- 1.6 Community and Quantification Metrics, Resilience and Sustainability Objectives -- 1.6.1 Definition of Quantification Metric -- 1.6.2 Considering and Community -- 1.7 Structure Engineering Dilemmas and Resilient Epcot -- 1.7.1 Dilation of Resilience Essence -- 1.7.2 Quality of Life -- 1.8 Development of Risk Informed Criteria for Building Design Hurricane Resilient on Building -- 1.9 Resilient Infrastructures Against Earthquake and Tsunami Multi-Hazard -- 1.10 Machine Learning With Smart Building -- 1.10.1 Smart Building Appliances -- 1.10.2 Intelligent Tools, Cameras and Electronic Controls in a Connected House (SRB) -- 1.10.3 Level if Clouds are the IoT Institute Level With SBs -- 1.10.4 Component of Smart Buildings (SB) -- 1.10.5 Machine Learning Tasks in Smart Building Environment -- 1.10.6 ML Tools and Services for Smart Building -- 1.10.7 Big Data Research Applications for SBs in Real-Time -- 1.10.8 Implementation of the ML Concept in the SB Context -- 1.11 Conclusion and Future Research -- References.
2 Fire Hazard Detection and Prediction by Machine Learning Techniques in Smart Buildings (SBs) Using Sensors and Unmanned Aerial Vehicles (UAVs) -- 2.1 Introduction -- 2.1.1 Bluetooth -- 2.1.2 Unmanned Aerial Vehicle -- 2.1.3 Sensors -- 2.1.4 Problem Description -- 2.2 Literature Review -- 2.3 Experimental Methods -- 2.3.1 Univariate Time-Series -- 2.3.2 Multivariate Time-Series Prediction -- 2.3.3 Hidden Markov Model (HMM) -- Algorithm -- 2.3.4 Fuzzy Logic -- 2.4 Results -- 2.5 Conclusion and Future Work -- References -- 3 Sustainable Infrastructure Theories and Models -- 3.1 Introduction to Data Fusion Approaches in Sustainable Infrastructure -- 3.1.1 The Need for Sustainable Infrastructure -- 3.1.2 Data Fusion -- 3.1.3 Different Types of Data Fusion Architecture -- 3.1.4 Smart Cities Application With Sustainable Infrastructures Based on Different Data Fusion Techniques -- 3.2 Smart City Infrastructure Approaches -- 3.2.1 Smart City Infrastructure -- 3.2.2 Smart City IoT Deployments -- 3.2.3 Smart City Control and Monitoring Centers -- 3.2.4 Theory of Unified City Modeling for Smart Infrastructure -- 3.2.5 Smart City Operational Modeling -- 3.3 Theories and Models -- 3.3.1 Sustainable Infrastructure Theories -- 3.3.2 Sustainable Infrastructure Models -- 3.4 Case Studies -- 3.4.1 Case Studies-1: Web Browsing History Analysis -- 3.4.2 Case Study-2: Data Model for Group Construction in Student's Industrial Placement -- 3.5 Conclusion and Future Scope -- References -- 4 Blockchain for Sustainable Smart Cities -- 4.1 Introduction -- 4.2 Smart City -- 4.2.1 Overview of Smart City -- 4.2.2 Evolution -- 4.2.3 Smart City's Sub Systems -- 4.2.4 Domains of Smart City -- 4.2.5 Challenges -- 4.3 Blockchain -- 4.3.1 Motivation -- 4.3.2 The Birth of Blockchain -- 4.3.3 System of Blockchain -- 4.4 Use Cases of Smart City Implementing Blockchain. 4.4.1 Blockchain-Based Smart Economy -- 4.4.2 Blockchain for Smart People -- 4.4.3 Blockchain-Based Smart Governance -- 4.4.4 Blockchain-Based Smart Transport -- 4.4.5 Blockchain-Based Smart Environment -- 4.4.6 Blockchain-Based Smart Living -- 4.5 Conclusion -- References -- 5 Contextualizing Electronic Governance, Smart City Governance and Sustainable Infrastructure in India: A Study and Framework -- 5.1 Introduction -- 5.2 Related Works -- 5.2.1 Research Questions -- 5.3 Related E-Governance Frameworks -- 5.3.1 Smart City Features in India -- 5.4 Proposed Smart Governance Framework -- 5.5 Results Discussion -- 5.5.1 Initial Stage -- 5.5.2 Design, Development and Delivery Stage -- 5.6 Conclusion -- References -- 6 Revolutionizing Geriatric Design in Developing Countries: IoT-Enabled Smart Home Design for the Elderly -- 6.1 Introduction to Geriatric Design -- 6.1.1 Aim, Objectives, and Methodology -- 6.1.2 Organization of Chapter -- 6.2 Background -- 6.2.1 Development of Smart Homes -- 6.2.2 Development of Smart Homes for Elderly -- 6.2.3 Indian Scenario -- 6.3 Need for Smart Homes: An Assessment of Requirements for the Elderly-Activity Mapping -- 6.3.1 Geriatric Smart Home Design: The Indian Context -- 6.3.2 Elderly Activity Mapping -- 6.3.3 Framework for Smart Homes for Elderly People -- 6.3.4 Architectural Interventions: Spatial Requirements for Daily Activities -- 6.3.5 Architectural Interventions to Address Issues Faced by Elderly People -- 6.4 Schematic Design for a Nesting Home: IoT-Enabled Smart Home for Elderly People -- 6.4.1 IoT-Based Real Time Automation for Nesting Homes -- 6.4.2 Technological Components of Elderly Smart Homes -- 6.5 Worldwide Elderly Smart Homes -- 6.5.1 Challenges in Smart Elderly Homes -- 6.6 Conclusion and Future Scope -- References -- 7 Sustainable E-Infrastructure for Blockchain-Based Voting System. 7.1 Introduction -- 7.1.1 E-Voting Challenge -- 7.2 Related Works -- 7.3 System Design -- 7.4 Experimentation -- 7.4.1 Software Requirements -- 7.4.2 Function Requirements -- 7.4.3 Common Functional Requirement for All Users -- 7.4.4 Non-Function Requirements -- 7.4.5 Implementation Details -- 7.5 Findings & -- Results -- 7.5.1 Smart Contract Deployment -- 7.6 Conclusion and Future Scope -- Acknowledgement -- References -- 8 Impact of IoT-Enabled Smart Cities: A Systematic Review and Challenges -- 8.1 Introduction -- 8.2 Recent Development in IoT Application for Modern City -- 8.2.1 IoT Potential Smart City Approach -- 8.2.2 Problems and Related Solutions in Modern Smart Cities Application -- 8.3 Classification of IoT-Based Smart Cities -- 8.3.1 Program Developers -- 8.3.2 Network Type -- 8.3.3 Activities of Standardization Bodies of Smart City -- 8.3.4 Available Services -- 8.3.5 Specification -- 8.4 Impact of 5G Technology in IT, Big Data Analytics, and Cloud Computing -- 8.4.1 IoT Five-Layer Architecture for Smart City Applications -- 8.4.2 IoT Computing Paradigm for Smart City Application -- 8.5 Research Advancement and Drawback on Smart Cities -- 8.5.1 Integration of Cloud Computing in Smart Cities -- 8.5.2 Integration of Applications -- 8.5.3 System Security -- 8.6 Summary of Smart Cities and Future Research Challenges and Their Guidelines -- 8.7 Conclusion and Future Direction -- References -- 9 Indoor Air Quality (IAQ) in Green Buildings, a Pre-Requisite to Human Health and Well-Being -- 9.1 Introduction -- 9.2 Pollutants Responsible for Poor IAQ -- 9.2.1 Volatile Organic Compounds (VOCs) -- 9.2.2 Particulate Matter (PM) -- 9.2.3 Asbestos -- 9.2.4 Carbon Monoxide (CO) -- 9.2.5 Environmental Tobacco Smoke (ETS) -- 9.2.6 Biological Pollutants -- 9.2.7 Lead (Pb) -- 9.2.8 Nitrogen Dioxide (NO2) -- 9.2.9 Ozone (O3). 9.3 Health Impacts of Poor IAQ -- 9.3.1 Sick Building Syndrome (SBS) -- 9.3.2 Acute Impacts -- 9.3.3 Chronic Impacts -- 9.4 Strategies to Maintain a Healthy Indoor Environment in Green Buildings -- 9.5 Conclusion and Future Scope -- References -- 10 An Era of Internet of Things Leads to Smart Cities Initiatives Towards Urbanization -- 10.1 Introduction: Emergence of a Smart City Concept -- 10.2 Components of Smart City -- 1 1 1 ay -- 10.2.1 Smart Infrastructure -- 10.2.2 Smart Building -- 10.2.3 Smart Transportation -- 10.2.4 Smart Energy -- 10.2.5 Smart Health Care -- 10.2.6 Smart Technology -- 10.2.7 Smart Citizen -- 10.2.8 Smart Governance -- 10.2.9 Smart Education -- 10.3 Role of IoT in Smart Cities -- 10.3.1 Intent of IoT Adoption in Smart Cities -- 10.3.2 IoT-Supported Communication Technologies -- 10.4 Sectors, Services Related and Principal Issues for IoT Technologies -- 10.5 Impact of Smart Cities -- 10.5.1 Smart City Impact on Science and Technology -- 10.5.2 Smart City Impact on Competitiveness -- 10.5.3 Smart City Impact on Society -- 10.5.4 Smart City Impact on Optimization and Management -- 10.5.5 Smart City for Sustainable Development -- 10.6 Key Applications of IoT in Smart Cities -- 10.7 Challenges -- 10.7.1 Smart City Design Challenges -- 10.7.2 Challenges Raised by Smart Cities -- 10.7.3 Challenges of IoT Technologies in Smart Cities -- 10.8 Conclusion -- Acknowledgements -- References -- 11 Trip-I-Plan: A Mobile Application for Task Scheduling in Smart City's Sustainable Infrastructure -- 11.1 Introduction -- 11.2 Smart City and IoT -- 11.3 Mobile Computing for Smart City -- 11.4 Smart City and its Applications -- 11.4.1 Traffic Monitoring -- 11.4.2 Smart Lighting -- 11.4.3 Air Quality Monitoring -- 11.5 Smart Tourism in Smart City -- 11.6 Mobile Computing-Based Smart Tourism. 11.7 Case Study: A Mobile Application for Trip Planner Task Scheduling in Smart City's Sustainable Infrastructure. |
| Record Nr. | UNINA-9910555178403321 |
| Hoboken, New Jersey : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Digital cities roadmap : IoT-based architecture and sustainable buildings / / edited by Arun Solanki, Adarsh Kumar and Anand Nayyar
| Digital cities roadmap : IoT-based architecture and sustainable buildings / / edited by Arun Solanki, Adarsh Kumar and Anand Nayyar |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (xxiv, 515 pages) : illustrations |
| Disciplina | 307.760285 |
| Collana | Advances in Learning Analytics for Intelligent Cloud-IoT Systems |
| Soggetto topico | Smart cities |
| ISBN |
1-5231-4333-9
1-119-79205-3 1-119-79206-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 The Use of Machine Learning for Sustainable and Resilient Buildings -- 1.1 Introduction of ML Sustainable Resilient Building -- 1.2 Related Works -- 1.3 Machine Learning -- 1.4 What is Resilience? -- 1.4.1 Sustainability and Resiliency Conditions -- 1.4.2 Paradigm and Challenges of Sustainability and Resilience -- 1.4.3 Perspectives of Local Community -- 1.5 Sustainability and Resilience of Engineered System -- 1.5.1 Resilience and Sustainable Development Framework for Decision-Making -- 1.5.2 Exposures and Disturbance Events -- 1.5.3 Quantification of Resilience -- 1.5.4 Quantification of Sustainability -- 1.6 Community and Quantification Metrics, Resilience and Sustainability Objectives -- 1.6.1 Definition of Quantification Metric -- 1.6.2 Considering and Community -- 1.7 Structure Engineering Dilemmas and Resilient Epcot -- 1.7.1 Dilation of Resilience Essence -- 1.7.2 Quality of Life -- 1.8 Development of Risk Informed Criteria for Building Design Hurricane Resilient on Building -- 1.9 Resilient Infrastructures Against Earthquake and Tsunami Multi-Hazard -- 1.10 Machine Learning With Smart Building -- 1.10.1 Smart Building Appliances -- 1.10.2 Intelligent Tools, Cameras and Electronic Controls in a Connected House (SRB) -- 1.10.3 Level if Clouds are the IoT Institute Level With SBs -- 1.10.4 Component of Smart Buildings (SB) -- 1.10.5 Machine Learning Tasks in Smart Building Environment -- 1.10.6 ML Tools and Services for Smart Building -- 1.10.7 Big Data Research Applications for SBs in Real-Time -- 1.10.8 Implementation of the ML Concept in the SB Context -- 1.11 Conclusion and Future Research -- References.
2 Fire Hazard Detection and Prediction by Machine Learning Techniques in Smart Buildings (SBs) Using Sensors and Unmanned Aerial Vehicles (UAVs) -- 2.1 Introduction -- 2.1.1 Bluetooth -- 2.1.2 Unmanned Aerial Vehicle -- 2.1.3 Sensors -- 2.1.4 Problem Description -- 2.2 Literature Review -- 2.3 Experimental Methods -- 2.3.1 Univariate Time-Series -- 2.3.2 Multivariate Time-Series Prediction -- 2.3.3 Hidden Markov Model (HMM) -- Algorithm -- 2.3.4 Fuzzy Logic -- 2.4 Results -- 2.5 Conclusion and Future Work -- References -- 3 Sustainable Infrastructure Theories and Models -- 3.1 Introduction to Data Fusion Approaches in Sustainable Infrastructure -- 3.1.1 The Need for Sustainable Infrastructure -- 3.1.2 Data Fusion -- 3.1.3 Different Types of Data Fusion Architecture -- 3.1.4 Smart Cities Application With Sustainable Infrastructures Based on Different Data Fusion Techniques -- 3.2 Smart City Infrastructure Approaches -- 3.2.1 Smart City Infrastructure -- 3.2.2 Smart City IoT Deployments -- 3.2.3 Smart City Control and Monitoring Centers -- 3.2.4 Theory of Unified City Modeling for Smart Infrastructure -- 3.2.5 Smart City Operational Modeling -- 3.3 Theories and Models -- 3.3.1 Sustainable Infrastructure Theories -- 3.3.2 Sustainable Infrastructure Models -- 3.4 Case Studies -- 3.4.1 Case Studies-1: Web Browsing History Analysis -- 3.4.2 Case Study-2: Data Model for Group Construction in Student's Industrial Placement -- 3.5 Conclusion and Future Scope -- References -- 4 Blockchain for Sustainable Smart Cities -- 4.1 Introduction -- 4.2 Smart City -- 4.2.1 Overview of Smart City -- 4.2.2 Evolution -- 4.2.3 Smart City's Sub Systems -- 4.2.4 Domains of Smart City -- 4.2.5 Challenges -- 4.3 Blockchain -- 4.3.1 Motivation -- 4.3.2 The Birth of Blockchain -- 4.3.3 System of Blockchain -- 4.4 Use Cases of Smart City Implementing Blockchain. 4.4.1 Blockchain-Based Smart Economy -- 4.4.2 Blockchain for Smart People -- 4.4.3 Blockchain-Based Smart Governance -- 4.4.4 Blockchain-Based Smart Transport -- 4.4.5 Blockchain-Based Smart Environment -- 4.4.6 Blockchain-Based Smart Living -- 4.5 Conclusion -- References -- 5 Contextualizing Electronic Governance, Smart City Governance and Sustainable Infrastructure in India: A Study and Framework -- 5.1 Introduction -- 5.2 Related Works -- 5.2.1 Research Questions -- 5.3 Related E-Governance Frameworks -- 5.3.1 Smart City Features in India -- 5.4 Proposed Smart Governance Framework -- 5.5 Results Discussion -- 5.5.1 Initial Stage -- 5.5.2 Design, Development and Delivery Stage -- 5.6 Conclusion -- References -- 6 Revolutionizing Geriatric Design in Developing Countries: IoT-Enabled Smart Home Design for the Elderly -- 6.1 Introduction to Geriatric Design -- 6.1.1 Aim, Objectives, and Methodology -- 6.1.2 Organization of Chapter -- 6.2 Background -- 6.2.1 Development of Smart Homes -- 6.2.2 Development of Smart Homes for Elderly -- 6.2.3 Indian Scenario -- 6.3 Need for Smart Homes: An Assessment of Requirements for the Elderly-Activity Mapping -- 6.3.1 Geriatric Smart Home Design: The Indian Context -- 6.3.2 Elderly Activity Mapping -- 6.3.3 Framework for Smart Homes for Elderly People -- 6.3.4 Architectural Interventions: Spatial Requirements for Daily Activities -- 6.3.5 Architectural Interventions to Address Issues Faced by Elderly People -- 6.4 Schematic Design for a Nesting Home: IoT-Enabled Smart Home for Elderly People -- 6.4.1 IoT-Based Real Time Automation for Nesting Homes -- 6.4.2 Technological Components of Elderly Smart Homes -- 6.5 Worldwide Elderly Smart Homes -- 6.5.1 Challenges in Smart Elderly Homes -- 6.6 Conclusion and Future Scope -- References -- 7 Sustainable E-Infrastructure for Blockchain-Based Voting System. 7.1 Introduction -- 7.1.1 E-Voting Challenge -- 7.2 Related Works -- 7.3 System Design -- 7.4 Experimentation -- 7.4.1 Software Requirements -- 7.4.2 Function Requirements -- 7.4.3 Common Functional Requirement for All Users -- 7.4.4 Non-Function Requirements -- 7.4.5 Implementation Details -- 7.5 Findings & -- Results -- 7.5.1 Smart Contract Deployment -- 7.6 Conclusion and Future Scope -- Acknowledgement -- References -- 8 Impact of IoT-Enabled Smart Cities: A Systematic Review and Challenges -- 8.1 Introduction -- 8.2 Recent Development in IoT Application for Modern City -- 8.2.1 IoT Potential Smart City Approach -- 8.2.2 Problems and Related Solutions in Modern Smart Cities Application -- 8.3 Classification of IoT-Based Smart Cities -- 8.3.1 Program Developers -- 8.3.2 Network Type -- 8.3.3 Activities of Standardization Bodies of Smart City -- 8.3.4 Available Services -- 8.3.5 Specification -- 8.4 Impact of 5G Technology in IT, Big Data Analytics, and Cloud Computing -- 8.4.1 IoT Five-Layer Architecture for Smart City Applications -- 8.4.2 IoT Computing Paradigm for Smart City Application -- 8.5 Research Advancement and Drawback on Smart Cities -- 8.5.1 Integration of Cloud Computing in Smart Cities -- 8.5.2 Integration of Applications -- 8.5.3 System Security -- 8.6 Summary of Smart Cities and Future Research Challenges and Their Guidelines -- 8.7 Conclusion and Future Direction -- References -- 9 Indoor Air Quality (IAQ) in Green Buildings, a Pre-Requisite to Human Health and Well-Being -- 9.1 Introduction -- 9.2 Pollutants Responsible for Poor IAQ -- 9.2.1 Volatile Organic Compounds (VOCs) -- 9.2.2 Particulate Matter (PM) -- 9.2.3 Asbestos -- 9.2.4 Carbon Monoxide (CO) -- 9.2.5 Environmental Tobacco Smoke (ETS) -- 9.2.6 Biological Pollutants -- 9.2.7 Lead (Pb) -- 9.2.8 Nitrogen Dioxide (NO2) -- 9.2.9 Ozone (O3). 9.3 Health Impacts of Poor IAQ -- 9.3.1 Sick Building Syndrome (SBS) -- 9.3.2 Acute Impacts -- 9.3.3 Chronic Impacts -- 9.4 Strategies to Maintain a Healthy Indoor Environment in Green Buildings -- 9.5 Conclusion and Future Scope -- References -- 10 An Era of Internet of Things Leads to Smart Cities Initiatives Towards Urbanization -- 10.1 Introduction: Emergence of a Smart City Concept -- 10.2 Components of Smart City -- 1 1 1 ay -- 10.2.1 Smart Infrastructure -- 10.2.2 Smart Building -- 10.2.3 Smart Transportation -- 10.2.4 Smart Energy -- 10.2.5 Smart Health Care -- 10.2.6 Smart Technology -- 10.2.7 Smart Citizen -- 10.2.8 Smart Governance -- 10.2.9 Smart Education -- 10.3 Role of IoT in Smart Cities -- 10.3.1 Intent of IoT Adoption in Smart Cities -- 10.3.2 IoT-Supported Communication Technologies -- 10.4 Sectors, Services Related and Principal Issues for IoT Technologies -- 10.5 Impact of Smart Cities -- 10.5.1 Smart City Impact on Science and Technology -- 10.5.2 Smart City Impact on Competitiveness -- 10.5.3 Smart City Impact on Society -- 10.5.4 Smart City Impact on Optimization and Management -- 10.5.5 Smart City for Sustainable Development -- 10.6 Key Applications of IoT in Smart Cities -- 10.7 Challenges -- 10.7.1 Smart City Design Challenges -- 10.7.2 Challenges Raised by Smart Cities -- 10.7.3 Challenges of IoT Technologies in Smart Cities -- 10.8 Conclusion -- Acknowledgements -- References -- 11 Trip-I-Plan: A Mobile Application for Task Scheduling in Smart City's Sustainable Infrastructure -- 11.1 Introduction -- 11.2 Smart City and IoT -- 11.3 Mobile Computing for Smart City -- 11.4 Smart City and its Applications -- 11.4.1 Traffic Monitoring -- 11.4.2 Smart Lighting -- 11.4.3 Air Quality Monitoring -- 11.5 Smart Tourism in Smart City -- 11.6 Mobile Computing-Based Smart Tourism. 11.7 Case Study: A Mobile Application for Trip Planner Task Scheduling in Smart City's Sustainable Infrastructure. |
| Record Nr. | UNINA-9910830865903321 |
| Hoboken, New Jersey : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||