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ویرایش: نویسندگان: Leonor Marques, Mano Domingos, Maria José Sousa سری: ISBN (شابک) : 9781032656755, 9781032656786 ناشر: CRC Press سال نشر: 2024 تعداد صفحات: 483 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 20 مگابایت
در صورت تبدیل فایل کتاب Swarm Intelligence Applications for the Cities of the Future به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب برنامه های اطلاعاتی Swarm برای شهرهای آینده نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Cover Page Title Page Copyright Page Acknowledgements Foreword Preface Contents List of Contributors 1 Social Learning and Citizens\' Engagement in Future Cities 1 Introduction 2 Swarm Intelligence: A Key to Future Cities 3 Essential Concepts and Applications of Swarm Intelligence in Social Learning 4 Presentation of Relevant Case Studies 5 Infusing Citizen Engagement 6 Methodology 7 Bibliometrics Results 8 Challenges and Opportunities 9 Future Opportunities in Integrating Social Learning and Citizen Engagement with Swarm Intelligence Conclusion References 2 Technology as a Social Learning and Citizen Facilitator 1 Social Learning and Citizen Engagement in Future Cities 2 Understanding Social Learning and Citizen Engagement 3 Social Learning and the Social Learning Theory 4 Learning by Modelling 5 Citizen Engagement in Future Cities 6 How is Social Learning Understood in the Context of Citizen Engagement in Future Cities? 7 Technology as a Social Learning and Citizen Engagement Facilitator 8 Extended Reality and the Metaverse 9 Artificial Intelligence (Al) 10 Games and Game-based Engagement Conclusion — The Significance of Social Learning and Citizen Engagement in Future Cities References 3 Public Policies for Green Cities in the Digital Age 1 Introduction 2 Methodology Step 1 Keyword co-occurrence analysis Step 2 Public policy analysis 3 Systematic Literature Review 3.1 Eligibility Criteria:Inclusion and Exclusion Criteria 3.2 Results of the Papers Search 4 Data Network and Discussion 5 Policy Analysis of Green Cities Being Reshaped by Technology 1 Urbact III 2 Horizon 2020 3 INTERREG Programs 4 Cosme 5 LIFE Program 6 European Fund for Strategic Investments (EFSI) 7 Operational Programs (OPs) under ESIF 6 Final Considerations References 4 Innovative Reporting for Resilient Cities: Bridging Sustainability and Transparency 1Introduction 2 Literature Review 3 Methodology 4 Results 5 Main Information 6 Relevant Sources 7 Thematic Map 8 Social Structure (Countries, Institutions, and Relevant Authors) 9 Conceptual Structure 10 Discussion Conclusion References 5 Digital Tools for the Public Safety of Future Cities 1 Introduction 2 Digital Twin and Urban Digital Twin 3 Swarm Intelligence and the Future of Urban Digital Twins 4 Blockchain-secured Urban DT Framework 4.1 Asset DT Layer 4.2 Weather Station/Radar Layer 4.3 Blockchain Layer 4.4 VDR Layer 5 DT Platform Conclusion Acknowledgements References 6 Sensors and Networks for Savings and Comfort of Cities\' Inhabitants 1 Introduction 2 Comfort Perception 3 IOT Systems Architecture 4 Different Architectural Approaches 5 Users as Part of the Architecture 6 User Interaction and Behaviour Change 7 Societal Motivations for Savings 8 Hardware and Software-based Solutions 9 User-centric Approaches 10 3D Dashboard Interfaces 11 Case Study in a Smart Home Acknowledgements References 7 Swarm Intelligence for Building Energy Management: An Overview of the Algorithms Used for Different Types of Energy Needs 1 Introduction 2 Swarm Intelligence: Concepts and Applications 3 Energy Distribution in Cities and Smart Grids 4 Methods 5 Results and Discussion 5.1 Bibiometric Analysis 5.2 Literature Review Analysis 5.2.1 Energy savings for smart buildings 5.2.2 CO2 concentrations 5.2.3 Heating load 5.2.4 Cooling load 5.2.5 HVAC systems 5.2.6 Thermal Energy Storage (TES) 5.2.7 Electrical systems 5.2.8 Building Information Modeling (BIM) Conclusion References 8 Community Energy Balancing 1 Scenario 1: Ex-ante working Energy generation forecast for the next hour 2 Scenario 2: Ex-ante working Energy consumption forecast for the next hour 3 Scenario 3: Ex-ante working with total Energy consumption forecasted for the next hour and balance of deficit 4 Scenario 4: Ex-ante working with total Energy consumption forecasted for next hour and balance of surplus 5 Scenario 5: Running in Normal operation mode 6 Scenario 6: Running with faults Acknowledgement References 9 Design for Healthcare in Current and Future Cities: Exploring Assessment Tools and Methods for Evaluating Sustainability and Inclusion in Healthcare Complex Infrastructures 1 Introduction 1.1 Healthcare Environments 1.2 Why Focusing on Environmental and Social Sustainability? 1.3 Evaluation of Healthcare Environment 2 Methodology 2.1 Methodological Development of SustHealth Version 2 2.2 Methodological Development of Design for All A. U.D.I.T. (Assessment Usability Design and Inclusion Tool) 3 Result 3.1 The Structure and Content of SustHealth V2 3.2 The Structure and Content of Design for All A.U.D.I.T. 4 Discussion 4.1 Implications of Evaluating Sustainability with Specific Assessment Tools 4.2 Implications of Evaluating Inclusion with Specific Assessment Tools 4.3 Limitations and Future Developments of the Tools Conclusion References 10 The Convergence of Resilience Culture and Digital Transformation in the Cities of Future: The Case Study of Milan and Rome 1 Introduction 2 Urban Resilience in Literature: A Brief Overview 3 Resilience Framework and Multisector Indicators for Urban Resilience to Climate Change 3.1 Indicators of the Urban Resilience and Respective Targets in Italian Cities 3.1.1 Resilience to climate change in Milan and Rome 3.1.2 100 Resilience cities\' initiative at glance 3.1.3 Digital Twin technologies under the lens of urban resilience 4 Limitations and Challenges 5 Climate Action Pathways in Milan and Rome 6 Final Considerations Acknowledgements References 11 Current Trends and Challenges in BIM–LCA Integration 1 Introduction 2 Research Methods 3 Results and Discussion 3.1 BIM Use 3.2 LCA Calculation 3.3 BIM-LCA Integration 3.4 Case study Application 3.5 Decision Support Conclusion Acknowledgement References Epilogue The Future of Swarm Intelligence for Smart Cities and Beyond Social Learning and Citizen Engagement Technological Facilitation and Public Policies Public Safety and IoT Systems Energy Management and Community Engagement Healthcare and Urban Resilience Embracing the Future The Broader Horizon: Integrating Swarm Intelligence Across Domains Disaster Response and Management Healthcare Innovations Environmental Conservation Agricultural Advancements Ethical and Social Considerations Privacy and Security Index