Abstract:Seeking continuous development, a modern community must also be able to adapt to future possible challenges using constrained or limited resources. As a revolutionary communication paradigm, the Internet of Things (IoT) empowers the cutting-edge and emerging applications which enable manifold new intelligent services towards a smart community. The sophisticated ecosystem of a digital community is made feasible by the IoT infrastructure, which also provides community control with access to a wealth of actual da… Show more
“…Over the past decade, research in the field of smart and green coordination has primarily concentrated on micro-level aspects. Several prominent research areas have emerged, including the exploration of smart-green communities [6][7][8], the impact of smart city initiatives on climate change [9][10][11], green infrastructure development [12,13], and the analysis of future challenges [14,15]. The prevalent research approach has predominantly involved modeling techniques to examine and forecast various scenarios and outcomes [16].…”
Section: Literature Review 21 Bibliometric Analysismentioning
This study investigates the development trend of smart-green cities, focusing on seven megacities in China. It addresses three issues that are common in urban green development, including the relationship between “smart” and “green”, the scenario analysis of green development, and the uniqueness of megacities in green development. System dynamics modeling is applied. The simulation results reveal an “S”-shaped development curve for both aspects, indicating a gradual and accelerating growth pattern. Notably, the curve representing energy consumption lags behind the curve for smart city development by approximately three years. After 2030, when the smart city construction is expected to be completed, the proportion of the tertiary industry and investment in science and technology will play a significant role in limiting energy consumption. This study concludes by providing policy suggestions, including the need for long-term plans with phased targets, considering the specificity of megacities, and addressing external influences.
“…Over the past decade, research in the field of smart and green coordination has primarily concentrated on micro-level aspects. Several prominent research areas have emerged, including the exploration of smart-green communities [6][7][8], the impact of smart city initiatives on climate change [9][10][11], green infrastructure development [12,13], and the analysis of future challenges [14,15]. The prevalent research approach has predominantly involved modeling techniques to examine and forecast various scenarios and outcomes [16].…”
Section: Literature Review 21 Bibliometric Analysismentioning
This study investigates the development trend of smart-green cities, focusing on seven megacities in China. It addresses three issues that are common in urban green development, including the relationship between “smart” and “green”, the scenario analysis of green development, and the uniqueness of megacities in green development. System dynamics modeling is applied. The simulation results reveal an “S”-shaped development curve for both aspects, indicating a gradual and accelerating growth pattern. Notably, the curve representing energy consumption lags behind the curve for smart city development by approximately three years. After 2030, when the smart city construction is expected to be completed, the proportion of the tertiary industry and investment in science and technology will play a significant role in limiting energy consumption. This study concludes by providing policy suggestions, including the need for long-term plans with phased targets, considering the specificity of megacities, and addressing external influences.
“…Jeurkar et al in [36] focus on monitoring water use in a flat system. Other solutions, such as those shown in [37][38][39], are proposed to make the water manufacturing process smarter. However, these propose to require environmental awareness to distribute the sensors and high data processing from the sensors, which are not feasible for critical infrastructures.…”
Global warming has increased uncertainty regarding managing traditional water supply systems. Unfortunately, there is a need for the smart management of water supply systems. This work aims to design a solution for renewing and securing critical infrastructure that supplies water and provides water purification inside the range of applications of Industry 4.0 for Smart Cities. Therefore, we analyze the renewal requirements and the applicable use cases and propose a solution based on IoT networks for critical infrastructure in the urban environment. We describe the architecture of the IoT network and the specific hardware for securing a water supply and wastewater treatment chain. In addition, the water level control process for the supply chain and the system that ensures the optimal level of chemicals for wastewater treatment are detailed. Finally, we present the guidelines for infrastructure operators to carry out this operation within Industry 4.0, constituting a development framework for future research on the design of Smart Cities.
“…• Smart Cities IoT and data analytics for sustainable resilience. [19], [20], • Climate change and sustainable growth for balancing financial, environmental and economic opportunities in cities [21],…”
An investigation was conducted to examine the impact of training in intelligent systems within engineering courses at the university level, considering the parameters and reports on business trends for 2030, as well as the Sustainable Development Goals (SDGs). The study analyzed 2309 subjects across 66 undergraduate degrees offered at nine universities in the Andalusia region, which is the most populous region in Spain. The objective of this research is to assess whether the training in intelligent systems, specifically in the fields of electrical engineering, electronics, computer science, and telecommunications, adequately prepares students in their final years of study to meet the demands of the labor and business market. Reports and trend studies have identified the urgent areas that require attention, including training in sensors, smart grids, smart cities, IoT, artificial intelligence, embedded systems, among others. The investigation provides insights into the current state of training in intelligent systems within the final years of engineering programs. These findings will inform future curriculum development and teaching guidelines, with the goal of enhancing students' knowledge and skills in line with technological and engineering trends. The study will analyze subjects across various Spanish universities in Andalusia, considering their rankings. Based on the analysis of the results, recommendations for improvement actions and strategies to strengthen the curriculum will be proposed.
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