Smart management systems (Triple Helix model) in Waterloo, Canada

Mazurek, Marica

doi:10.5038/2640-6489.3.2.1033

Cited by 2 publications

(3 citation statements)

References 41 publications

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“…It sufficiently absorbs savings and purifies rain water during precipitation and then releases the stored water for a certain need and integration. e internationally similar concept is called "low influence development rainwater system" [16].…”

Section: Sponge City Conceptmentioning

confidence: 99%

Artificial Intelligence Sponge City Wisdom Management Model

Nie

Fang

2022

Security and Communication Networks

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Sponge city is currently a new urban rain flood management concept. It refers to the natural disaster that adapts to environmental changes and the natural disasters that is brought by rainwater. It is also known as the sponge, and the alias can also be called as “water elastic city.” The purpose of this article is, based on artificial intelligence, to study the analysis of wisdom management models in sponges. This paper first introduces the artificial intelligence algorithm and sponge city, then compares the traditional sponge city and the wisdom sponge city, then creates a LSTM neural network model, introducing artificial intelligence into sponge city intelligent dynamics in the analysis, and finally compares the rainfall data analysis to the ground. The experimental results show that, at different time points, the training results of rainfall data have shown significant regularity. The entire rainfall process exhibits a rise-decline-rise-increase trend of repetition. The maximum rainfall appeared at the 18th hour, and 7 obvious peaks occurred in 7, 11, 14, 16, 18, 21, and 23 hours.

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Section: Sponge City Conceptmentioning

confidence: 99%

Artificial Intelligence Sponge City Wisdom Management Model

Nie

Fang

2022

Security and Communication Networks

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“…Citizens utilise smart devices that integrate different systems and technologies to generate data (Bakici et al 2013). Furthermore, in a smart city, every transaction made by residents is a significant data source that can be analysed to produce information that will help decision makers (Clement et al 2022;Dewi et al 2018;Mazurek 2018).…”

Section: Smart City Elementsmentioning

confidence: 99%

“…A municipality needs to procure the appropriate digital infrastructure, technologies and secure Internet connectivity and employees must have the support of management as decision makers (Dewi et al 2018;Mahesa et al 2019;Mazurek 2018). Furthermore, management decides which projects to prioritise in terms of funding (Alawadhi et al 2012;Dewi et al 2018).…”

Section: Smart City Elementsmentioning

confidence: 99%

Challenges that affect smart city implementation in small and rural municipalities

Mashau,

Kroeze

2023

SA Journal of Information Management

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Objectives: This study aims to investigate the challenges that affect the implementation of a smart city in South African small and rural municipalities.Methods: A qualitative research methodology was employed to collect data through interviews from small and rural municipalities. The target population for this study was municipality personnel involved in decision making and those charged with smart city implementation responsibilities in South African small and rural municipalities. Results:The results of this study revealed that insufficient Internet connectivity and a lack of digital infrastructure, technology, budget, sustainable energy and skilled workforce are the challenges that affect smart city projects in South African small and rural municipalities. Conclusion:To execute and implement smart city projects successfully, South African small and rural municipalities should address the challenges before they start with their projects. Contribution:The findings of this study will significantly contribute to the body of knowledge in the field of smart cities, information systems and rural studies by exposing challenges that may affect small and rural municipalities when engaging in a smart city project.

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Smart management systems (Triple Helix model) in Waterloo, Canada

Cited by 2 publications

References 41 publications

Artificial Intelligence Sponge City Wisdom Management Model

Artificial Intelligence Sponge City Wisdom Management Model

Challenges that affect smart city implementation in small and rural municipalities

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