Abstract
The concept of smart city holds many definitions on the meaning of SMART word: Digital City, Internet-connected city, Intelligent city. A smart city uses the information and communication technology to make efficient consumption of limited resources, like water, mobility, and space. Many studies have already been conducted in the context of implementation of IoT-based smart cities, but the main issue is analysis of collected data on the server. This paper focuses on developing prototypes of smart city in three categories: (1) smart building, (2) smart farming, and (3) smart parking and street lights. A real-time analysis will be done on the data collected by different sensors to discuss the exact status of factor. We present the implementation of a deep neural network aimed at reducing the complexity of the huge amount of data collected at cloud server.
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Gautam, K., Puri, V., Tromp, J.G., Nguyen, N., Van Le, C. (2020). Internet of Things (IoT) and Deep Neural Network-Based Intelligent and Conceptual Model for Smart City. In: Satapathy, S., Bhateja, V., Nguyen, B., Nguyen, N., Le, DN. (eds) Frontiers in Intelligent Computing: Theory and Applications. Advances in Intelligent Systems and Computing, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-32-9186-7_30
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DOI: https://doi.org/10.1007/978-981-32-9186-7_30
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