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\"While technology is developing at a fast pace, urban planners and cities are still behind in finding effective ways to use technology to address citizen's needs. Multiple aspects of sustainable urbanism are brought together in this book along with advanced technologies and their connections to urban planning and management. It integrates urban studies, smart cities, AI, IoT, remote sensing and GIS. Highlights also land use planning, spatial planning, and ecosystem-based information to improve economic opportunities. Urban planners and engineers will understand the use of AI in disaster management and the use of GIS in finding suitable landfill sites for sustainable waste management\"-- Provided by publisher.

The recent emergence of the concept of 'smart cities' presents challenges to city administrators for planning, managing, and governing modern cities in the digital age. Research on smart cities has tended to focus on the attributes of cities at a more developed stage. Instead, this article departs from that trend by discussing an aspiring smart city in a small-island developing country. The purpose of the study is to examine the steps required for building a smart city against a background of the concept of smart cities, taken in the context of an empirical study of an aspiring small smart city. The main finding is that there is no single route to becoming a smart city, but rather there are critical steps that can be adopted as part of a building process for achieving that objective. This work adds value in presenting a way to synthesize the smart city concept with empirical work involving one small smart city's aspirations and achievements. The article fills a partial gap in the smart city literature and has implications for aspiring city administrators, smart city builders, persons concerned with the application of ICT to address city challenges, as well as for students of urban planning, development, and management.

As visions of smart urbanism gain traction around the world, it is crucial that we question the benefits that an increasingly technologised urbanity promise. It is not about the technology, but bettering peoples’ lives, insist smart city advocates. In this paper, I question the progressive potential of the smart city drawing on the case of Singapore’s Smart Nation initiative. Using the case studies of the smart home and ‘learning to code’ movement, I highlight the limits of such ‘smart’ interventions as they are stunted by the neoliberal-developmental logics of the state, thereby facilitating authoritarian consolidation in Singapore. As such, this paper distinguishes itself from previous works on the neoliberal smart city by situated smart urbanism within the socio-political dynamics of neoliberalism-as-developmental strategy. For smart urbanism to better peoples’ everyday lives, technological ‘solutionism’ needs to be replaced with more human-centric framings and understandings of urban challenges. 随着智慧城市的愿景风靡全球，我们有必要质疑一个日益技术化的城市未来之优点。智慧城市 的倡导者们坚持说，重点不在于技术，而在于改善人们的生活。本文以新加坡“智慧国家”计划 为案例，质疑了智慧城市蓝图的进步潜力。文章运用智慧家居和“学会编程”运动的案例研宄， 强调了这些“智慧”干预的局限，因为它们受到政府的新自由主义开发逻辑阻扰，从而促进了新 加坡的威权巩固。本文将智慧城市之说放入作为发展策略的新自由主义社会政治动态机制之中， 与先前关于新自由主义智慧城市的研宄相区别。从智慧城市到改善人们的日常生活，技术“解 决论”需要替换为用更加以人为中心的方式来界定并理解城市难题。

This research presents key factors influencing smart building integration into smart cities considering the city as a technological system. This paper begins with an overview of the concept of smart buildings, defining their features and discussing the technological advancements driving their development. The frameworks for smart buildings are presented, emphasizing energy efficiency, sustainability, automation, and data analytics. Then, the concept of a smart city and the role of digitalization in its development is explored. The conceptual framework of smart building into a smart city is presented, contributing to understanding the complex process of integrating smart buildings into smart cities. Further research delves into the factors influencing the integration of smart buildings into smart cities, focusing on energy, mobility, water, security systems, and waste management infrastructure domains. Each thematic area is examined, highlighting the importance of integration and the associated challenges and opportunities, based on research in the literature and the analysis of case studies. This enables the identification of 26 factors influencing integration and the synthesis of findings. The findings indicate that the successful integration of smart buildings into smart cities requires attention to multiple factors related to smart energy, smart mobility, smart water, smart security, and smart waste management infrastructures. The results obtained from this research provide valuable insights into the factors influencing smart building integration into a smart city from a technological perspective, enabling stakeholders to make informed decisions and develop strategies paving the way for sustainable, resilient, and efficient urban environments.

Significant changes in society were emphasized as being required to achieve Sustainable Development Goals, a need which was further intensified with the emergence of the pandemic. The prospective society should be directed towards sustainable development, a process in which technology plays a crucial role. The proposed study discusses the technological potential for attaining the Sustainable Development Goals via disruptive technologies. This study further analyzes the outcome of disruptive technologies from the aspects of product development, health care transformation, a pandemic case study, nature-inclusive business models, smart cities and villages. These outcomes are mapped as a direct influence on Sustainable Development Goals 3, 8, 9 and 11. Various disruptive technologies and the ways in which the Sustainable Development Goals are influenced are elaborated. The investigation into the potential of disruptive technologies highlighted that Industry 5.0 and Society 5.0 are the most supportive development to underpin the efforts to achieve the Sustainable Development Goals. The study proposes the scenario where both Industry 5.0 and Society 5.0 are integrated to form smart cities and villages where the prospects of achieving Sustainable Development Goals are more favorable due to the integrated framework and Sustainable Development Goals’ interactions. Furthermore, the study proposes an integrated framework for including new age technologies to establish the concepts of Industry 5.0 and Society 5.0 integrated into smart cities and villages. The corresponding influence on the Sustainable Development Goals are also mapped. A SWOT analysis is performed to assess the proposed integrated approach to achieve Sustainable Development Goals. Ultimately, this study can assist the industrialist, policy makers and researchers in envisioning Sustainable Development Goals from technological perspectives.

Several factors are motivating the development of preventive, personalized, connected, virtual, and ubiquitous healthcare services. These factors include declining public health, increase in chronic diseases, an ageing population, rising healthcare costs, the need to bring intelligence near the user for privacy, security, performance, and costs reasons, as well as COVID-19. Motivated by these drivers, this paper proposes, implements, and evaluates a reference architecture called Imtidad that provides Distributed Artificial Intelligence (AI) as a Service (DAIaaS) over cloud, fog, and edge using a service catalog case study containing 22 AI skin disease diagnosis services. These services belong to four service classes that are distinguished based on software platforms (containerized gRPC, gRPC, Android, and Android Nearby) and are executed on a range of hardware platforms (Google Cloud, HP Pavilion Laptop, NVIDIA Jetson nano, Raspberry Pi Model B, Samsung Galaxy S9, and Samsung Galaxy Note 4) and four network types (Fiber, Cellular, Wi-Fi, and Bluetooth). The AI models for the diagnosis include two standard Deep Neural Networks and two Tiny AI deep models to enable their execution at the edge, trained and tested using 10,015 real-life dermatoscopic images. The services are evaluated using several benchmarks including model service value, response time, energy consumption, and network transfer time. A DL service on a local smartphone provides the best service in terms of both energy and speed, followed by a Raspberry Pi edge device and a laptop in fog. The services are designed to enable different use cases, such as patient diagnosis at home or sending diagnosis requests to travelling medical professionals through a fog device or cloud. This is the pioneering work that provides a reference architecture and such a detailed implementation and treatment of DAIaaS services, and is also expected to have an extensive impact on developing smart distributed service infrastructures for healthcare and other sectors.

Over the last few years, nexus-thinking has become a buzzword in urban research and practice. This also applies to recent claims of greater integration or coordination of urban infrastructures that have traditionally been managed separately and have been unbundled. The idea is to better address their growing sociotechnical complexity, their externalities and their operation within an urban system of systems. This article introduces a collection of case studies aimed at critically appraising how concepts of nexus and infrastructure integration have become guiding visions for the development of green, resilient or smart cities. It assesses how concepts of nexus and calls for higher interconnectivity and ‘co-management’ within and across infrastructure domains often forestall more politically informed discussions and downplay potential risks and institutional restrictions. Based on an urban political and sociotechnical approach, the introduction to this special issue centres around four major research gaps: 1) the tensions between calls for infrastructure rebundling and the urban trends and realities driven by infrastructure restructuring since the 1990s; 2) the existing boundary work in cities and urban stakeholders’ practices in bringing fragmented urban infrastructures together; 3) the politics involved in infrastructural and urban change and in aligning urban infrastructures that often defy managerial rhetoric of resource efficiency, smartness and resilience; and 4) the spatialities at play in infrastructural reconfigurations that selectively promote specific spaces and scales of metabolic autonomy, system operation (and failure), networked interconnectivities and system regulation. We conclude by outlining directions for future research. 在过去的几年里，关系（nexus）思维已成为城市研究和实践的流行语。这也适用于最近提出的、实现城市基础设施进一步一体化或协调的主张，这些基础设施传统上是分开治理的，而且未被捆绑。这个概念是为了更好地解决各类基础设施不断增长的社会技术复杂性、外部性和在由各城市系统构成的总体系统中的运营。本文介绍了一系列案例研究，旨在批判性地评估关联和基础设施整合的概念如何成为了绿色、复原性或智能城市发展的指导愿景。本文评估了关系的概念（以及在各基础设施领域内部和相互之间实现更高的互联性和“共同治理”的倡导）为何通常会阻止更多的政治知情讨论，并低估潜在的风险和制度限制。基于城市政治和社会技术方法，本期特刊的介绍围绕四个主要的研究空白领域：1）基础设施重新打捆的呼吁、与自20世纪90年代以来基础设施重组所造成的城市趋势和现实之间的张力；2）在整合零散的城市基础设施方面，城市现有的边界工作和城市利益相关者的做法；3）基础设施和城市变革以及协调城市基础设施方面的政治，这种政治往往违反资源效率、智能和复原力方面的管理学理论；4）基础设施重构方面的空间性，这会导致有选择地促进代谢自治的特定空间和规模、系统运行（和故障）、网络互连和系统调节。最后，我们概述了未来研究的方向。

Smart devices have become an essential part of the architectures such as the Internet of Things (IoT), Cyber-Physical Systems (CPSs), and Internet of Everything (IoE). In contrast, these architectures constitute a system to realize the concept of smart cities and, ultimately, a smart planet. The adoption of these smart devices expands to different cyber-physical systems in smart city architecture, i.e., smart houses, smart healthcare, smart transportation, smart grid, smart agriculture, etc. The edge of the network connects these smart devices (sensors, aggregators, and actuators) that can operate in the physical environment and collects the data, which is further used to make an informed decision through actuation. Here, the security of these devices is immensely important, specifically from an authentication standpoint, as in the case of unauthenticated/malicious assets, the whole infrastructure would be at stake. We provide an updated review of authentication mechanisms by categorizing centralized and distributed architectures. We discuss the security issues regarding the authentication of these IoT-enabled smart devices. We evaluate and analyze the study of the proposed literature schemes that pose authentication challenges in terms of computational costs, communication overheads, and models applied to attain robustness. Hence, lightweight solutions in managing, maintaining, processing, and storing authentication data of IoT-enabled assets are an urgent need. From an integration perspective, cloud computing has provided strong support. In contrast, decentralized ledger technology, i.e., blockchain, light-weight cryptosystems, and Artificial Intelligence (AI)-based solutions, are the areas with much more to explore. Finally, we discuss the future research challenges, which will eventually help address the ambiguities for improvement.

The Internet of Things (IoT) is an emerging paradigm branded by heterogeneous technologies composed of smart ubiquitous objects that are seamlessly connected to the Internet. These objects are often deployed in open environments to provide innovative services in various application domains such as smart cities, smart health, and smart communities. These IoT devices produce a massive amount of confidentiality and security-sensitive data. Thus, security of these devices is very important in order to ensure the safety and effectiveness of the system. In this paper, a decentralized authentication and access control mechanism is proposed for lightweight IoT devices and is applicable to a large number of scenarios. The mechanism is based on the technology of the fog computing and the concept of the public blockchain. The results gained from the experiments demonstrate a superior performance of the proposed mechanism when compared to a state-of-the-art blockchain-based authentication technique.

According to the United Nation’s World Water Development Report, by 2050 more than 50% of the world’s population will be under high water scarcity. To avoid water stress, water resources are needed to be managed more securely. Smart water technology (SWT) has evolved for proper management and saving of water resources. Smart water system (SWS) uses sensor, information, and communication technology (ICT) to provide real-time monitoring of data such as pressure, water ow, water quality, moisture, etc. with the capability to detect any abnormalities such as non-revenue water (NRW) losses, water contamination in the water distribution system (WDS). It makes water and energy utilization more efficient in the water treatment plant and agriculture. In addition, the standardization of data format i.e., use of Water Mark UP language 2.0 has made data exchange easier for between different water authorities. This review research exhibits the current state-of-the-art of the on-going SWT along with present challenges and future scope on the mentioned technologies. A conclusion is drawn that smart technologies can lead to better water resource management, which can lead to the reduction of water scarcity worldwide. High implementation cost may act as a barrier to the implementation of SWT in developing countries, whereas data security and its reliability along with system ability to give accurate results are some of the key challenges in its field implementation.