7,556 research outputs found

    Internet of things

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    Manual of Digital Earth / Editors: Huadong Guo, Michael F. Goodchild, Alessandro Annoni .- Springer, 2020 .- ISBN: 978-981-32-9915-3Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key element. The current era of connectivity envisions that everything is connected to everything. The concept of the Internet of Things(IoT)emergedasaholisticproposaltoenableanecosystemofvaried,heterogeneous networked objects and devices to speak to and interact with each other. To make the IoT ecosystem a reality, it is necessary to understand the electronic components, communication protocols, real-time analysis techniques, and the location of the objects and devices. The IoT ecosystem and the Digital Earth (DE) jointly form interrelated infrastructures for addressing today’s pressing issues and complex challenges. In this chapter, we explore the synergies and frictions in establishing an efïŹcient and permanent collaboration between the two infrastructures, in order to adequately address multidisciplinary and increasingly complex real-world problems. Although there are still some pending issues, the identiïŹed synergies generate optimism for a true collaboration between the Internet of Things and the Digital Earth

    Mobile networks and internet of things infrastructures to characterize smart human mobility

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    The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.This work has been supported by FCT–Fundação para a CiĂȘncia e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. This work has also been supported by national funds through FCT–Fundação para a CiĂȘncia e Tecnologia through project UIDB/04728/202

    The spatio-temporal structures of society: modernity and ecological modernization as restructurations of time and space

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    Approaches in the social sciences have experienced a shift toward the themes of time and space, at least over the past three decades. This shift was clearly announced in the invitation made by Anthony Giddens in the early 1980s to retreat from the considerations of time and space as simple containers of social action. Furthermore, several other authors have pointed out at least three shortfalls of the status quo before 1980s: i) the lack of the temporal dimension in the sociological explanation of modernity, ii) the dismissal of the spatial particularity in the accounts of social change, and iii) the need to temporalize the geographical inquiries. How are social sciences accounts and social actions affected by transformation to the spatio-temporal structures of society? That is the general inquiry that inspired this thesis. The notion of spatio-temporal restructuration is introduced to capture the processes of restructuration that are taking place in the social sciences and in social life. Consequently, the study of the spatio-temporal structures of society includes epistemological and phenomenological research. A reorganization of social science spatio-temporal explanatory frameworks is proposed through epistemological research. A phenomenological investigation refers to the dialogical relationship between spatio-temporal arrangements and regimes, which together define the spatio-temporal structures of society. These two conditions of the research in spatio-temporal restructuration –epistemological and phenomenological- explain the twofold structure of the thesis

    Space-time Data Science for a Speedy World

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    Workshop sensing a changing world : proceedings workshop November 19-21, 2008

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