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Open AccessJournal ArticleDOI

A Fuzzy-Based Approach for Sensing, Coding and Transmission Configuration of Visual Sensors in Smart City Applications

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TLDR
A fuzzy-based approach to dynamically configure the way visual sensors will operate concerning sensing, coding and transmission patterns, exploiting different types of reference parameters is proposed, potentially bringing significant results for this research field.
Abstract
The advance of technologies in several areas has allowed the development of smart city applications, which can improve the way of life in modern cities. When employing visual sensors in that scenario, still images and video streams may be retrieved from monitored areas, potentially providing valuable data for many applications. Actually, visual sensor networks may need to be highly dynamic, reflecting the changing of parameters in smart cities. In this context, characteristics of visual sensors and conditions of the monitored environment, as well as the status of other concurrent monitoring systems, may affect how visual sensors collect, encode and transmit information. This paper proposes a fuzzy-based approach to dynamically configure the way visual sensors will operate concerning sensing, coding and transmission patterns, exploiting different types of reference parameters. This innovative approach can be considered as the basis for multi-systems smart city applications based on visual monitoring, potentially bringing significant results for this research field.

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Big data analytics: Computational intelligence techniques and application areas

TL;DR: This paper presents a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM).
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COVID-19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions

TL;DR: A review of the methodological innovations in studying big data analytics and how they can be better utilized to examine contemporary organizational issues can be found in this paper, where the authors provide insights on methods in descriptive/diagnostic, predictive and prescriptive analytics, and how these can be leveraged to study 'black swan' events such as the COVID-19-related global crisis and its aftermath's implications for managers and policymakers.
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An Innovative Approach for Forecasting of Energy Requirements to Improve a Smart Home Management System Based on BLE

TL;DR: An artificial neural network (ANN) is presented as a support for a home energy management (HEM) system based on Bluetooth low energy, called BluHEMS, and is able to forecast the energy consumption conditions, i.e., to predict the home energy requirements at different times of the day or on different days of the week.
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COVID-19 pandemic: a review of smart cities initiatives to face new outbreaks

TL;DR: In this article, the authors discuss potential solutions and review recent approaches that can be exploited in this complex scenario, describing feasible and promising development trends for the construction of the new expected health-centric smart cities.
Journal ArticleDOI

Open-Source Electronics Platforms as Enabling Technologies for Smart Cities: Recent Developments and Perspectives

TL;DR: The surveying of recent research in this area can support a better understanding of smart-city solutions based on popular platforms such as Raspberry Pi, BeagleBoard and Arduino, as presented in this article.
References
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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

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Proceedings ArticleDOI

Health monitoring of civil infrastructures using wireless sensor networks

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Proceedings ArticleDOI

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