Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Marco Arnesano"'
Autor:
Reza Jamali, Andrea Generosi, Josè Yuri Villafan, Maura Mengoni, Leonardo Pelagalli, Gianmarco Battista, Milena Martarelli, Paolo Chiariotti, Silvia Angela Mansi, Marco Arnesano, Paolo Castellini
Publikováno v:
Sensors, Vol 24, Iss 7, p 2298 (2024)
The perception of sound greatly impacts users’ emotional states, expectations, affective relationships with products, and purchase decisions. Consequently, assessing the perceived quality of sounds through jury testing is crucial in product design.
Externí odkaz:
https://doaj.org/article/ba4b8c751ff649399d57e3fa160110a0
Autor:
Federica Naspi, Dr., Francesca Stazi, Prof., Marco Arnesano, Dr., Federico Seri, Dr., Lorenzo Zampetti, Dr., Gian Marco Revel, Prof., Marco D'Orazio, Prof.
Publikováno v:
Tema, Vol 4, Iss 1, Pp 01-12 (2018)
Including the human component in simulation software is of primary importance to enhance the building’s design and management. In particular, the user-window interaction impacts significantly energy and comfort profiles. Through an environmental an
Externí odkaz:
https://doaj.org/article/89742b3bca314629adedb700fe528db6
Publikováno v:
Sensors, Vol 21, Iss 11, p 3685 (2021)
Most existing residential buildings adopt one single-zone thermostat to control the heating of rooms with different thermal conditions. This solution often provides poor thermal comfort and inefficient use of energy. The current market proposes smart
Externí odkaz:
https://doaj.org/article/470b7713644244ec8fc96dd73bf9481f
Autor:
Luca Guardigli, Francesco Della Fornace, Oscar Casadei, Fabio Frani, Luca Nicolini, Gian Marco Revel, Marco Arnesano
Publikováno v:
Techne, Vol 16 (2018)
The paper presents a research project, derived from a collaboration between Universities, manufacturers and designers with international experience in curtain walls and HVAC systems. The research consisted in experimenting a technological solution fo
Externí odkaz:
https://doaj.org/article/2df2f3402fc54be3af14f0a7cab001c6
Autor:
Michele Vavallo, Marco Arnesano, Gian Marco Revel, Asier Mediavilla, Ane Ferreiro Sistiaga, Alessandro Pracucci, Sara Magnani, Oscar Casadei
Publikováno v:
Proceedings, Vol 20, Iss 1, p 1 (2019)
Buildings are the key factor to transform cities and to contribute to recent European energy efficiency objectives for 2030 and long-term 2050. New buildings account to only 1–2% annually. Yet, ninety percent of the existing building stock in Europ
Externí odkaz:
https://doaj.org/article/d3d55b73140b4e2d96cc011b29f301ae
Autor:
Rizal Sebastian, Anna Gralka, Rosamaria Olivadese, Marco Arnesano, Gian Marco Revel, Timo Hartmann, Christoph Gutsche
Publikováno v:
Proceedings, Vol 2, Iss 15, p 1157 (2018)
Ninety percent of the existing building stock in Europe was built before 1990. These buildings are in urgent need for a significant improvement of energy-efficiency through renovation. State-of-the-art renovation solutions are available, but costly a
Externí odkaz:
https://doaj.org/article/de439a9c507b485b865f03036c4345c3
Autor:
Marco Arnesano, Andrea Calvaresi, Filippo Pietroni, Lorenzo Zampetti, Sara Magnani, Oscar Casadei, Gian Marco Revel
Publikováno v:
Proceedings, Vol 2, Iss 15, p 1138 (2018)
This paper presents an experimental test room in a curtain wall building where an innovative monitoring and control system was implemented and tested. The proposed solution is composed by an IR-based comfort sensor that measures the PMV (Predicted Me
Externí odkaz:
https://doaj.org/article/f00ef4855d94492db3178ae3b8e80d68
Autor:
Gloria Cosoli, Silvia Angela Mansi, Ilaria Pigliautile, Anna Laura Pisello, Gian Marco Revel, Marco Arnesano
Publikováno v:
Measurement. 217:113047
Publikováno v:
Journal of Building Engineering. 70:106379
Autor:
Nicole Morresi, Gian Marco Revel, J. Ignacio Torrens-Galdiz, Marco Arnesano, Matteo Sorcinelli, Amaia Uriarte, Sara Casaccia
Publikováno v:
IEEE Sensors Journal
This paper presents the results from the experimental application of smartwatch sensors to predict occupants’ thermal comfort under varying environmental conditions. The goal is to investigate the measurement accuracy of smartwatches when used as t