AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2022
Scianna, Andrea; Gaglio, Giuseppe Fulvio; Guardia, Marcello La
Structure Monitoring with BIM and IoT: The Case Study of a Bridge Beam Model Journal Article
In: ISPRS International Journal of Geo-Information, vol. 11, no. 3, 2022.
Abstract | Links | BibTeX | Tags: BIM, IoT
@article{sciannaStructureMonitoringBIM2022a,
title = {Structure Monitoring with BIM and IoT: The Case Study of a Bridge Beam Model},
author = { Andrea Scianna and Giuseppe Fulvio Gaglio and Marcello La Guardia},
doi = {10.3390/ijgi11030173},
year = {2022},
date = {2022-01-01},
journal = {ISPRS International Journal of Geo-Information},
volume = {11},
number = {3},
publisher = {MDPI},
abstract = {The diffusion of Building Information Modelling (BIM) as a reference methodology, applied to the world of construction, leads to important changes in the design and the management of big constructions and infrastructures. However, although the BIM approach is necessary for managing the entire life cycle of a construction, today, this methodology is still rarely adopted beyond the design phase. This represents a major flaw because the management of every phase of the life cycle of buildings needs accurate preliminary planning. Certainly, one of the most complex and important phases of the life cycle of a construction is the monitoring phase, which represents a fundamental aspect for the maintenance and the safe fruition of buildings or civil constructions. Considering this, the multidisciplinary approach of merging BIM methodology with real-time monitoring, using low-cost IoT (Internet of Things) sensors, seems to be an interesting topic to develop. In this paper, we will propose an example of a connection between an IoT system and a BIM model for monitoring the deflection of a bridge beam at the centerline using a schematic scale model reproduced in the laboratory and modelled in BIM. The developed system allows the real-time connection between the real model and its digital twin through the use of a relational database management system (RDBMS), to which the data detected by the sensor are transmitted, allowing the risk assessment of the real structure. This solution gives the possibility to remotely monitor, in real time, the behaviour of the structure visualised in the BIM model. textcopyright 2022 by the authors. Licensee MDPI, Basel, Switzerland.},
keywords = {BIM, IoT},
pubstate = {published},
tppubtype = {article}
}
The diffusion of Building Information Modelling (BIM) as a reference methodology, applied to the world of construction, leads to important changes in the design and the management of big constructions and infrastructures. However, although the BIM approach is necessary for managing the entire life cycle of a construction, today, this methodology is still rarely adopted beyond the design phase. This represents a major flaw because the management of every phase of the life cycle of buildings needs accurate preliminary planning. Certainly, one of the most complex and important phases of the life cycle of a construction is the monitoring phase, which represents a fundamental aspect for the maintenance and the safe fruition of buildings or civil constructions. Considering this, the multidisciplinary approach of merging BIM methodology with real-time monitoring, using low-cost IoT (Internet of Things) sensors, seems to be an interesting topic to develop. In this paper, we will propose an example of a connection between an IoT system and a BIM model for monitoring the deflection of a bridge beam at the centerline using a schematic scale model reproduced in the laboratory and modelled in BIM. The developed system allows the real-time connection between the real model and its digital twin through the use of a relational database management system (RDBMS), to which the data detected by the sensor are transmitted, allowing the risk assessment of the real structure. This solution gives the possibility to remotely monitor, in real time, the behaviour of the structure visualised in the BIM model. textcopyright 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Scianna, Andrea; Gaglio, Giuseppe Fulvio; Guardia, Marcello La
Structure Monitoring with BIM and IoT: The Case Study of a Bridge Beam Model Journal Article
In: ISPRS International Journal of Geo-Information, vol. 11, no. 3, 2022, (Number: 3 Publisher: MDPI).
Abstract | Links | BibTeX | Tags: BIM, IoT
@article{scianna_structure_2022,
title = {Structure Monitoring with BIM and IoT: The Case Study of a Bridge Beam Model},
author = {Andrea Scianna and Giuseppe Fulvio Gaglio and Marcello La Guardia},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126649022&doi=10.3390%2fijgi11030173&partnerID=40&md5=2c5373416cce1b71ed7063ea297a42d0},
doi = {10.3390/ijgi11030173},
year = {2022},
date = {2022-01-01},
journal = {ISPRS International Journal of Geo-Information},
volume = {11},
number = {3},
abstract = {The diffusion of Building Information Modelling (BIM) as a reference methodology, applied to the world of construction, leads to important changes in the design and the management of big constructions and infrastructures. However, although the BIM approach is necessary for managing the entire life cycle of a construction, today, this methodology is still rarely adopted beyond the design phase. This represents a major flaw because the management of every phase of the life cycle of buildings needs accurate preliminary planning. Certainly, one of the most complex and important phases of the life cycle of a construction is the monitoring phase, which represents a fundamental aspect for the maintenance and the safe fruition of buildings or civil constructions. Considering this, the multidisciplinary approach of merging BIM methodology with real-time monitoring, using low-cost IoT (Internet of Things) sensors, seems to be an interesting topic to develop. In this paper, we will propose an example of a connection between an IoT system and a BIM model for monitoring the deflection of a bridge beam at the centerline using a schematic scale model reproduced in the laboratory and modelled in BIM. The developed system allows the real-time connection between the real model and its digital twin through the use of a relational database management system (RDBMS), to which the data detected by the sensor are transmitted, allowing the risk assessment of the real structure. This solution gives the possibility to remotely monitor, in real time, the behaviour of the structure visualised in the BIM model. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},
note = {Number: 3
Publisher: MDPI},
keywords = {BIM, IoT},
pubstate = {published},
tppubtype = {article}
}
The diffusion of Building Information Modelling (BIM) as a reference methodology, applied to the world of construction, leads to important changes in the design and the management of big constructions and infrastructures. However, although the BIM approach is necessary for managing the entire life cycle of a construction, today, this methodology is still rarely adopted beyond the design phase. This represents a major flaw because the management of every phase of the life cycle of buildings needs accurate preliminary planning. Certainly, one of the most complex and important phases of the life cycle of a construction is the monitoring phase, which represents a fundamental aspect for the maintenance and the safe fruition of buildings or civil constructions. Considering this, the multidisciplinary approach of merging BIM methodology with real-time monitoring, using low-cost IoT (Internet of Things) sensors, seems to be an interesting topic to develop. In this paper, we will propose an example of a connection between an IoT system and a BIM model for monitoring the deflection of a bridge beam at the centerline using a schematic scale model reproduced in the laboratory and modelled in BIM. The developed system allows the real-time connection between the real model and its digital twin through the use of a relational database management system (RDBMS), to which the data detected by the sensor are transmitted, allowing the risk assessment of the real structure. This solution gives the possibility to remotely monitor, in real time, the behaviour of the structure visualised in the BIM model. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
2019
Sabatucci, Luca; Cossentino, Massimo; Lopes, Salvatore
Service Composition with Partial Goal Satisfaction. Proceedings Article
In: AI&IoT@ AI* IA, pp. 55–67, 2019.
Abstract | BibTeX | Tags: Dynamic workflow, IoT, Partial goal satisfaction, Service Composition
@inproceedings{sabatucciServiceCompositionPartial2019,
title = {Service Composition with Partial Goal Satisfaction.},
author = { Luca Sabatucci and Massimo Cossentino and Salvatore Lopes},
year = {2019},
date = {2019-01-01},
booktitle = {AI&IoT@ AI* IA},
pages = {55--67},
abstract = {IoT applications are often ad-hoc compositions of services offered by connected devices that cooperate to satisfy user's goals. Sometimes, addressing full goal satisfaction is too stringent and replacing that with an easier to satisfy partial goal satisfaction is a good alternative to a complete failure. In this paper we propose a service composition approach that adopts a metrics for measuring the partial satisfaction of goal. The metrics adopts an electrical analogy extended for dealing with temporal goals.},
keywords = {Dynamic workflow, IoT, Partial goal satisfaction, Service Composition},
pubstate = {published},
tppubtype = {inproceedings}
}
IoT applications are often ad-hoc compositions of services offered by connected devices that cooperate to satisfy user's goals. Sometimes, addressing full goal satisfaction is too stringent and replacing that with an easier to satisfy partial goal satisfaction is a good alternative to a complete failure. In this paper we propose a service composition approach that adopts a metrics for measuring the partial satisfaction of goal. The metrics adopts an electrical analogy extended for dealing with temporal goals.
Sabatucci, Luca; Cossentino, Massimo; Lopes, Salvatore
Service Composition with Partial Goal Satisfaction. Proceedings Article
In: AI&IoT@ AI* IA, pp. 55–67, 2019.
Abstract | Links | BibTeX | Tags: Dynamic workflow, IoT, Partial goal satisfaction, Service Composition
@inproceedings{sabatucci_service_2019,
title = {Service Composition with Partial Goal Satisfaction.},
author = {Luca Sabatucci and Massimo Cossentino and Salvatore Lopes},
url = {https://ceur-ws.org/Vol-2502/paper4.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {AI&IoT@ AI* IA},
pages = {55–67},
abstract = {IoT applications are often ad-hoc compositions of services offered by connected devices that cooperate to satisfy user's goals. Sometimes, addressing full goal satisfaction is too stringent and replacing that with an easier to satisfy partial goal satisfaction is a good alternative to a complete failure. In this paper we propose a service composition approach that adopts a metrics for measuring the partial satisfaction of goal. The metrics adopts an electrical analogy extended for dealing with temporal goals.},
keywords = {Dynamic workflow, IoT, Partial goal satisfaction, Service Composition},
pubstate = {published},
tppubtype = {inproceedings}
}
IoT applications are often ad-hoc compositions of services offered by connected devices that cooperate to satisfy user's goals. Sometimes, addressing full goal satisfaction is too stringent and replacing that with an easier to satisfy partial goal satisfaction is a good alternative to a complete failure. In this paper we propose a service composition approach that adopts a metrics for measuring the partial satisfaction of goal. The metrics adopts an electrical analogy extended for dealing with temporal goals.