Activity recognition approaches for smart cities: The City4Age use case

Author(s):  
Aitor Almeida ◽  
Gorka Azkune
2021 ◽  
Author(s):  
Gabriele Leoni ◽  
Federica Ferrigno ◽  
Paolo Maria Guarino ◽  
Luca Guerrieri ◽  
Francesco Menniti ◽  
...  

<p>EO4GEO is an Erasmus+ Project aiming at defining a long-term and sustainable strategy to fill the gap between supply of and demand for space/geospatial education and training in the Copernicus domain. To test and validate the approach a series of training actions are ongoing for selected scenarios in three sub-sectors: 1) Integrated Applications, 2) Smart Cities, 3) Climate Change. ISPRA, which includes the Geological Survey of Italy, is contributing to the development of Integrated Applications, coordinating different scenarios fostering the uptake of EO data, services and standardized methodologies of analysis. Available EO data were tested to evaluate their effectiveness and efficiency in different fields (e.g. ground motion monitoring on Cultural Heritage, agro monitoring to support regional decision-making; land change detection, geohazard zoning, risk assessment, etc.). Here we present the preliminary results concerning the InSAR analysis and the development of different training actions on ground motion monitoring on potential slope instabilities affecting Cultural Heritage sites. The selected site is the Roman Thermae at Baia (Naples), being part of the “Parco Archeologico dei Campi Flegrei”, located close to active calderas. The area is characterized by a sequence (from the bottom to the top) of volcanic breccia, pyroclastic deposits and surge deposits; Phlegrean Fields represent an exceptional example of volcanic-related subsidence with unrest cycles characterized by intense ground uplift and lowering. The instability phenomena depend mainly on the acclivity of the top sector of the slope, with the activation of small collapse events, and on the lack of ordinary management and maintenance of the area (e.g. invasive vegetation, absence of drainage system). A preliminary InSAR analysis was performed exploiting ERS datasets (1993–2003), showing regional ground lowering, with deformation rates (5-10 mm/yr) that are consistent with the general down lift cycle affecting the whole area in that that period. Ongoing InSAR data processing are focused on SENTINEL-1 data (April 2016 - August 2020) allowing us to explore most recent evolution of instability phenomena. Data processing has been performed using the SeNtinel’s Application Platform (SNAP-ESA) and the Stanford Method of Persistent Scatterers (StaMPS). The dataset is composed by 79 descending and 81 ascending scenes, and the single master stack contains 76 interferograms from the descending and 80 from the ascending geometry. Additionally, SRTM DEM was used in the interferometric processing. Obtained results clearly show a ground uplifting in the investigated period, with displacement rates ranging between 5 and 10 mm/yr (5.2 mm/yr average value of the study area). Any differential displacement has been observed on the exposed elements of the site. A training module focused on this use case is under development, thus contributing to fill the gap between supply and demand in the Copernicus domain, main goal of the EO4GEO project. The definition of step-by-step methodology from EO data to final processing will be defined and connected to learning outcomes, sectorial and transversal skills contributing to finalize the main goal of the EO4GEO project.</p>


2018 ◽  
Vol 6 (4) ◽  
pp. 119-122 ◽  
Author(s):  
Peter Mechant ◽  
Nils Walravens

This editorial introduces the thematic issue on “E-Government and Smart Cities: Theoretical Reflections and Case Studies” and presents five articles and one commentary related to e-government and smart cities. All contributions take a use-case driven research approach to investigate, discuss and comment (on) overarching themes such as data, governance and participation which are inherently linked to the concepts of e-government and smart cities.


2020 ◽  
pp. 744-766
Author(s):  
Erich Ortner ◽  
Marco Mevius ◽  
Peter Wiedmann ◽  
Florian Kurz

Nowadays, the number of human to application system interactions is dramatically increasing. For instance, citizens interact with the help of the internet to organize meetings spontaneously. Furthermore, standards such as Business Process Model and Notation (BPMN) and the Decision Modeling Notation (DMN) allow the creation of graphical models to document the (interaction) processes. Moreover, simulations and automations can be set up to encounter new technical challenges. Smart Cities aim at enabling their citizens to use these digital services. However, looking beyond technology, there is still a significant lack of interaction and support between “normal” citizens and the public administration. This article introduces an approach, which describes the design of enhanced interactional applications for decision support in Smart Cities based on Dialogical Logic process patterns. The authors demonstrate the approach with the help of a use case concerning a budgeting scenario as well as a summary and outlook on further research.


Author(s):  
Sergio Casas ◽  
Jesús Gimeno ◽  
Pablo Casanova-Salas ◽  
José V. Riera ◽  
Cristina Portalés

In this chapter, authors deal with the problem of visualizing summarized information in a complex system like a smart city. They introduce the topic of smart city in the context of the information revolution that is taking place in the world. Next, they review how this information can be visualized, highlighting immersive 3D methods such as Virtual Reality (VR) and Augmented Reality (AR), which are particularly suitable for these applications, since 2D information does not usually induce a focused and sustained attention. The chapter describes and shows a use case in which VR and Spatial AR (SAR) are used in a smart city system to visualize summarized information about the state and management of the city. The SAR system relies on a multi-projector mapping procedure, and therefore authors also explain the technical details that the calibration and implementation of this type of AR application requires.


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