Creating Smart Cities: A Review for Holistic Approach

Rozario, Sophia Diana; Venkatraman, Sitalakshmi; Marimuthu, Malliga; Khaksar, Seyed Mohammad Sadegh; Subramani, Gopi

doi:10.3390/asi4040070

Cited by 10 publications

(10 citation statements)

References 43 publications

(50 reference statements)

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“…In the rapidly evolving landscape of smart cities, the efficiency and sustainability of IoT-based applications play a pivotal role in shaping urban development. Harnessing the power of diverse and heterogeneous data sources, these applications provide valuable insights to enhance city services, optimize resource utilization, and improve the overall quality of urban life [ 5 , 6 ]. In this context, the advent of an innovative framework capable of reducing the total amount of data to be transmitted over the network holds immense promise for the future of smart city technologies.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…This is primarily due to massive heterogeneous data from multiple sources in the age of the Internet of Things (IoT), which is particularly significant for many smart city applications [ 4 , 5 ]. As they are mostly expected to be comprised a myriad of smart urban services [ 6 ], with data being generated by sensors, wearable devices, connected vehicles, social media, and external systems, the resulting scenario will be defined by the generation of huge amounts of data, on a daily basis [ 7 , 8 ]. In order to address the potential systems degradation resulting when handling the processing, storage, and distribution of such data, efficient mechanisms to assure data reduction (DR) are highly necessary, fostering investigation efforts in this area.…”

Section: Introductionmentioning

confidence: 99%

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Towards an AI-Driven Data Reduction Framework for Smart City Applications

Pioli,

de Macedo,

Costa

et al. 2024

Sensors

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The accelerated development of technologies within the Internet of Things landscape has led to an exponential boost in the volume of heterogeneous data generated by interconnected sensors, particularly in scenarios with multiple data sources as in smart cities. Transferring, processing, and storing a vast amount of sensed data poses significant challenges for Internet of Things systems. In this sense, data reduction techniques based on artificial intelligence have emerged as promising solutions to address these challenges, alleviating the burden on the required storage, bandwidth, and computational resources. This article proposes a framework that exploits the concept of data reduction to decrease the amount of heterogeneous data in certain applications. A machine learning model that predicts a distortion rate and its corresponding reduction rate of the imputed data is also proposed, which uses the predicted values to select, among many reduction techniques, the most suitable approach. To support such a decision, the model also considers the context of the data producer that dictates the class of reduction algorithm that is allowed to be applied to the input stream. The achieved results indicate that the Huffman algorithm performed better considering the reduction of time-series data, with significant potential applications for smart city scenarios.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards an AI-Driven Data Reduction Framework for Smart City Applications

Pioli,

de Macedo,

Costa

et al. 2024

Sensors

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“…The concept of smart cities has emerged as an instrumental approach to tackling challenges and enhancing the performance of civil engineering infrastructures by deploying technological innovations [1,15]. Despite tens of definitions of the smart city [16], scholars and practitioners are in consensus that the term is dedicated to addressing the primary demands of the cities of the future, including infrastructure, transportation, energy, waste, and water management systems [17,18]. According to the UN's recent report, policymakers and municipalities should be ready to manage these demands while promoting sustainability, resilience, and social equity for all residents [19].…”

Section: Civil Engineering For the Cities Of The Futurementioning

confidence: 99%

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities

Kantsepolsky,

Aviv

2024

Smart Cities

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The vital role of civil engineering is to enable the development of modern cities and establish foundations for smart and sustainable urban environments of the future. Advanced sensing technologies are among the instrumental methods used to enhance the performance of civil engineering infrastructures and address the multifaceted challenges of future cities. Through this study, we discussed the shortcomings of traditional sensors in four primary civil engineering domains: construction, energy, water, and transportation. Then, we investigated and summarized the potential of quantum sensors to contribute to and revolutionize the management of civil engineering infrastructures. For the water sector, advancements are expected in monitoring water quality and pressure in water and sewage infrastructures. In the energy sector, quantum sensors may facilitate renewables integration and improve grid stability and buildings’ energy efficiency. The most promising progress in the construction field is the ability to identify subsurface density and underground structures. In transportation, these sensors create many fresh avenues for real-time traffic management and smart mobility solutions. As one of the first-in-the-field studies offering the adoption of quantum sensors across four primary domains of civil engineering, this research establishes the basis for the discourse about the scope and timeline for deploying quantum sensors to real-world applications towards the quantum transformation of civil engineering.

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“…Среди таких технологий они выделяют машинное обучение, Интернет вещей (IoT), мобильные вычисления, большие данные, блокчейн, сети шестого поколения (6G), WiFi-7, индустрию 5.0, роботизированные системы и другие [1]. Научный интерес вызывает зарубежный опыт применения данных технологий, в особенности технико-управленческий подход к созданию умных городов с использованием Интернета вещей [2,3], выявлены ключевые факторы, влияющие на развитие умных городов на примере Китая, в частности, государственная поддержка в стране, инновационный уровень, экономическое развитие и человеческий капитал [4]. Если рассматривать особенности развития городского туризма, то, безусловно, он связан с технологическим развитием и процессом внедрения цифровых технологий, здесь туристу открываются возможности от планирования путешествий до автоматической генерации маршрутов с объектами туристского показа [5].…”

Section: основные положения обзор литературыunclassified

Peculiarities of using digital technologies in the development of urban tourist routes: the best world practices

Mamrayeva

Tashenova

Grebenyuk

2022

jour

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The relevance of the research is due to the issues of qualitative change in the process of serving tourists in the context of digitalization. The effective using of digital technologies, which allow automating, accelerating and modernizing these processes, will have a positive impact on the level of tourism development in the country. The purpose of the research is to identify the features of using the digital technologies in the development of urban tourist routes based on successful foreign experience. The article uses general scientific methods, in particular the content analysis method, which made it possible to analyze an array of information from theoretical approaches to digitalization and digital technologies in tourism to digital platforms and specialized programs for the development of tourist routes, as well as a graphical interpretation method. The article clearly presents examples and directions of using digital technologies in the tourism industry: BigData, AR / VR, Blockchain, IoT, tourist route development portals, mobile applications. Particular attention is paid to the issues of their use in the development of urban tourist routes. The scheme of the process of interactive involvement in the process of perception of the tourist experience is reflected. On the example of popular urban tourist sites the advantages and results of the introduction of virtual and augmented reality, mobile technology and audio guides are revealed. This study has revealed the role and importance of digital technology in the development of urban tourism routes on the example of international practices.

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Creating Smart Cities: A Review for Holistic Approach

Cited by 10 publications

References 43 publications

Towards an AI-Driven Data Reduction Framework for Smart City Applications

Towards an AI-Driven Data Reduction Framework for Smart City Applications

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities

Peculiarities of using digital technologies in the development of urban tourist routes: the best world practices

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