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105,122 result(s) for "Smart cities."
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Selling Smartness
This article argues for engaging with the smart city as a sociotechnical imaginary. By conducting a close reading of primary source material produced by the companies IBM and Cisco over a decade of work on smart urbanism, we argue that the smart city imaginary is premised in a particular narrative about urban crises and technological salvation. This narrative serves three main purposes: (1) it fits different ideas and initiatives into a coherent view of smart urbanism, (2) it sells and disseminates this version of smartness, and (3) it crowds out alternative visions and corresponding arrangements of smart urbanism. Furthermore, we argue that IBM and Cisco construct smart urbanism as both a reactionary and visionary force, plotting a model of the near future, but one that largely reflects and reinforces existing sociopolitical systems. We conclude by suggesting that breaking IBM’s and Cisco’s discursive dominance over the smart city imaginary requires us to reimagine what smart urbanism means and create counter-narratives that open up space for alternative values, designs, and models.
A Review of Emerging Technologies for IoT-Based Smart Cities
Smart cities can be complemented by fusing various components and incorporating recent emerging technologies. IoT communications are crucial to smart city operations, which are designed to support the concept of a “Smart City” by utilising the most cutting-edge communication technologies to enhance city administration and resident services. Smart cities have been outfitted with numerous IoT-based gadgets; the Internet of Things is a modular method to integrate various sensors with all ICT technologies. This paper provides an overview of smart cities’ concepts, characteristics, and applications. We thoroughly investigate smart city applications, challenges, and possibilities with solutions in recent technological trends and perspectives, such as machine learning and blockchain. We discuss cloud and fog IoT ecosystems in the in capacity of IoT devices, architectures, and machine learning approaches. In addition we integrate security and privacy aspects, including blockchain applications, towards more trustworthy and resilient smart cities. We also highlight the concepts, characteristics, and applications of smart cities and provide a conceptual model of the smart city mega-events framework. Finally, we outline the impact of recent emerging technologies’ implications on challenges, applications, and solutions for futuristic smart cities.
Smart city in India : urban laboratory, paradigm or trajectory?
\"This book is a critical reflection on the Smart City Mission in India. Drawing on ethnographic data from across Indian cities, this volume assesses the transformative possibilities and limitations of the programme. It examines the ten core infrastructural elements that make up a city, including water, electricity, waste, mobility, housing, environment, health and education, and lays down the basic tenets of urban policy in India. The volume underlines the need to recognize liminal spaces and the plans to make the 'smart city' an inclusive one. The authors also look at maintaining a link between the older heritage of a city and the emerging urban space. This volume will be of great interest to planners, urbanists, policymakers, as well as scholars and researchers of urban studies and planning, architecture, and sociology and social anthropology\"-- Provided by publisher.
Automated waste-sorting and recycling classification using artificial neural network and features fusion: a digital-enabled circular economy vision for smart cities
Waste generation in smart cities is a critical issue, and the interim steps towards its management were not that effective. But at present, the challenge of meeting recycling requirements due to the practical difficulty involved in waste sorting decelerates smart city CE vision. In this paper, a digital model that automatically sorts the generated waste and classifies the type of waste as per the recycling requirements based on an artificial neural network (ANN) and features fusion techniques is proposed. In the proposed model, various features extracted using image processing are combined to develop a sophisticated classifier. Based on the different features, different models are built, and each model produces a single decision. Besides, the kind of class is determined using machine learning. The model is validated by extracting relevant information from the dataset containing 2400 images of possible waste types recycled across three categories. Based on the analysis, it is observed that the proposed model achieved an accuracy of 91.7%, proving its ability to sort and classify the waste as per the recycling requirements automatically. Overall, this analysis suggests that a digital-enabled CE vision could improve the waste sorting services and recycling decisions across the value chain in smart cities.
Smart and Age-Friendly Cities in Romania: An Overview of Public Policy and Practice
The role of smart cities in order to improve older people’s quality of life, sustainability and opportunities, accessibility, mobility, and connectivity is increasing and acknowledged in public policy and private sector strategies in countries all over the world. Smart cities are one of the technological-driven initiatives that may help create an age-friendly city. Few research studies have analysed emerging countries in terms of their national strategies on smart or age-friendly cities. In this study, Romania which is predicted to become one of the most ageing countries in the European Union is used as a case study. Through document analysis, current initiatives at the local, regional, and national level addressing the issue of smart and age-friendly cities in Romania are investigated. In addition, a case study is presented to indicate possible ways of the smart cities initiatives to target and involve older adults. The role of different stakeholders is analysed in terms of whether initiatives are fragmentary or sustainable over time, and the importance of some key factors, such as private–public partnerships and transnational bodies. The results are discussed revealing the particularities of the smart cities initiatives in Romania in the time frame 2012–2020, which to date, have limited connection to the age-friendly cities agenda. Based on the findings, a set of recommendations are formulated to move the agenda forward.
Energy Management Systems in Sustainable Smart Cities Based on the Internet of Energy: A Technical Review
In this paper, we exploit state-of-the-art energy management in sustainable smart cities employing the Internet of Energy (IoE). The primary goal of this study is to leverage cutting-edge energy management techniques through the IoE in sustainable smart cities to bring about significant improvements in clean energy processes while targeting environmental benefits, efficiency enhancements, sustainability, and cost reduction. In this work, we present a comprehensive exploration of energy management strategies within the context of IoE-enabled sustainable smart cities. Firstly, we provide a detailed classification of diverse energy management approaches pertinent to IoE-based sustainable smart cities. This classification covers a spectrum of methodologies, including scheduling optimization, the design of low-power device transceivers, cognitive frameworks, and the integration of cloud computing technology. Furthermore, we highlight the pivotal role of smart grids as fundamental elements in the establishment of smart cities. Within this context, we offer a comprehensive overview of the essential components that underlie smart grids, with a notable focus on the intricate realm of micro/nanogrids. Moreover, our research delves comprehensively into energy harvesting within the context of smart cities. We analyze crucial facets like receiver design, energy optimization methods, a variety of energy sources, efficient energy scheduling approaches, and the establishment of effective energy routing mechanisms. Additionally, we delve into the multifaceted nature of sustainable smart cities across various domains. Our investigation reaches its culmination in the creation of a novel conceptual framework and the identification of enabling technologies centered on effective energy management. Lastly, we contribute to the field by outlining the current research challenges and mapping potential research directions relevant to energy management within sustainable smart cities, capitalizing on the capabilities of the IoT.