Browsing by Keyword "Data analysis"
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Item The H2020 project RAYUELA: A fun way to fight cybercrime(Ediciones de la Universida de Castilla-La Mancha, 2021) López, Gregorio; Bueno, Nereida; Castro, Mario; Reneses, Maria; Perez, Jaime; Riberas, Maria; Alvarez-Campana, Manuel; Vega-Barbas, Mario; Solera-Cotanilla, Sonia; Bastida, Leire; Moya, Ana; Fernandez, Ruben; Vazquez, Violeta; Zango, German; Vicente, PedroAs in the case of maieutics, this paper aims to unveil the most important goals and features of the recently funded European project RAYUELA by answering some important questions, such as: why, who, what, how, what the main challenges and novelty of the project are, and what will be next (although the project is still in its earlier stages).Item An IoT sensor network to model occupancy profiles for energy usage simulation tools(IEEE, 2018-11-13) Saralegui, Unai; Anton, Miguel Angel; Arbelaitz, Olatz; Muguerza, Javier; Tecnalia Research & Innovation; DIGITALIZACIÓN Y AUTOMATIZACIÓN DE LA CONSTRUCCIÓNThe development of IoT devices has allowed to install large amounts of sensors in different environments. Consequently, monitoring small houses and entire buildings has become possible. In addition, buildings are one of the biggest energy consumers, so the monitoring of the energy waste, and its sources, is gaining attention. Human behaviour has been reported as being the main discrepancy source between energy usage simulations and real usage, thus being able to easily monitor such behaviour will bring greater insight in the building usage. In this paper, an IoT sensor network is proposed to model occupancy profiles at room level. Such measurement of users’ behaviour along with additional information such as temperature or humidity can be used to develop strategies to save energy, especially regarding heating, ventilating and airconditioning (HVAC) systems. The proposed equipment has been gathering data for some months in a workplace containing several meeting rooms. Four of those rooms were monitored and later analysed to test the validity of the proposed approach. The results show that it is possible to obtain occupancy profiles by using simple IoT equipment.Item LIFE+2010 QUADMAP Project: results obtained from the analysis of data collected during the application of the new methodology to the pilot quiet areas: Results obtained from the analysis of data collected during the application of the new methodology to the pilot quiet areas(2019-01-01) Bartalucci, Chiara; Borchi, Francesco; Carfagni, Monica; Governi, Lapo; Luzzi, Sergio; Aspuru, Itziar; Gaudibert, Piotr; Wolfert, Henk; CALIDAD Y CONFORT AMBIENTALSince the 90s, quiet areas have commonly been considered as places to be acoustically preserved or where acoustic interventions should be implemented to reduce noise levels. With the enforcement of the Environmental Noise Directive in 2002, a formal definition of a ‘quiet area in agglomeration’ and a ‘quiet area in open country’ was established. However, many Member States complained about the absence of guidelines regarding the identification and management of quiet areas. The LIFE QUiet Areas Definition and Management in Action Plans (QUADMAP) project started in 2011 to contribute to the Directive’s incomplete requirements for quiet areas. The project’s main result has been the introduction of a flexible methodology for the selection, analysis and management of quiet areas in agglomeration in which both acoustic and nonacoustic parameters are evaluated. The current paper illustrates the analyses carried out on the data collected during the application of the selection, analysis and management phases of the developed methodology in the different pilot cases selected during the Project. Mentioned analysis are aimed at verifying the benefits of the proposed complementary selection criteria (‘relative quiet urban areas’ identification criteria and ‘homogeneous urban areas’ subdivision criteria), at defining the measurement periods most representative of the areas and the acoustic and nonacoustic parameters to be considered as the most significant.