2021
Cicirelli, F.; Guerrieri, A.; Mastroianni, C.; Scarcello, L.; Spezzano, G.; Vinci, A.
Balancing Energy Consumption and Thermal Comfort with Deep Reinforcement Learning Proceedings Article
In: Proceedings of IEEE 2nd International Conference on Human-Machine Systems (ICHMS), 2021, ISBN: 9781665401708.
Abstract | Links | BibTeX | Tag: Cognitive Buildings, Deep Reinforcement Learning, smart environments, Thermal Comfort
@inproceedings{Cicirelli2021,
title = {Balancing Energy Consumption and Thermal Comfort with Deep Reinforcement Learning},
author = {F. Cicirelli and A. Guerrieri and C. Mastroianni and L. Scarcello and G. Spezzano and A. Vinci},
doi = {10.1109/ICHMS53169.2021.9582638},
isbn = {9781665401708},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {Proceedings of IEEE 2nd International Conference on Human-Machine Systems (ICHMS)},
journal = {Proceedings of the 2021 IEEE International Conference on Human-Machine Systems, ICHMS 2021},
abstract = {The management of thermal comfort in a building is a challenging and multi-faced problem because it requires considering both objective and subjective parameters that are often in contrast. Subjective parameters are tied to reaching and maintaining an adequate user comfort by considering human preferences and behaviours, while objective parameters can be related to other important aspects like the reduction of energy consumption. This paper exploits cognitive technologies, based on Deep Reinforcement Learning (DRL), for automatically learning how to control the HVAC system in an office. The goal is to develop a cyber-controller able to minimize both the perceived thermal discomfort and the needed energy. The learning process is driven through the definition of a cumulative reward, which includes and combines two reward components that consider, respectively, user comfort and energy consumption. Simulation experiments show that the adopted approach is able to affect the behaviour of the DRL controller and the learning process and therefore to balance the two objectives by weighing the two components of the reward.},
keywords = {Cognitive Buildings, Deep Reinforcement Learning, smart environments, Thermal Comfort},
pubstate = {published},
tppubtype = {inproceedings}
}
2020
Cicirelli, F.; Guerrieri, A.; Mastroianni, C.; Spezzano, G.; Vinci, A.
Thermal comfort management leveraging deep reinforcement learning and human-in-The-loop Proceedings Article
In: 2020, ISBN: 9781728158716.
Abstract | Links | BibTeX | Tag: Cognitive Building., Deep Reinforcement Learning, smart environments, Thermal Comfort
@inproceedings{Cicirelli2020,
title = {Thermal comfort management leveraging deep reinforcement learning and human-in-The-loop},
author = {F. Cicirelli and A. Guerrieri and C. Mastroianni and G. Spezzano and A. Vinci},
doi = {10.1109/ICHMS49158.2020.9209555},
isbn = {9781728158716},
year = {2020},
date = {2020-01-01},
journal = {Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020},
abstract = {The design and implementation of effective systems devoted to the thermal comfort management in a building is a challenging task because they require to consider both objective and subjective parameters, tied for instance to human profile and behavior. This paper presents a novel approach for the management of thermal comfort in buildings by leveraging cognitive technologies, namely the Deep Reinforcement Learning paradigm. The approach is able to learn how to automatically control the HVAC system and improve people's comfort. The learning process is driven by a reward that includes and combines an environmental reward, related to objective environmental parameters, with a human reward, related to subjective human perceptions that are implicitly inferred by the way people interact with the HVAC system. Simulation results aim to assess the impact of the two types of reward on the achieved comfort level.},
keywords = {Cognitive Building., Deep Reinforcement Learning, smart environments, Thermal Comfort},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
Cicirelli, F.; Guerrieri, A.; Spezzano, G.; Vinci, A.
A Cognitive Enabled, Edge-Computing Architecture for Future Generation IoT Environments Proceedings Article
In: 2019, ISBN: 9781538649800.
Abstract | Links | BibTeX | Tag: Architectures, Cognitive Internet of Things, Edge computing, smart environments
@inproceedings{Cicirelli2019b,
title = {A Cognitive Enabled, Edge-Computing Architecture for Future Generation IoT Environments},
author = {F. Cicirelli and A. Guerrieri and G. Spezzano and A. Vinci},
doi = {10.1109/WF-IoT.2019.8767246},
isbn = {9781538649800},
year = {2019},
date = {2019-01-01},
journal = {IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings},
abstract = {Nowadays, Smart Environments (SEs) are pervasively deployed in buildings (e.g., houses, schools, and offices) and outdoor environments with the goal of improving the quality of life of their inhabitants. SEs are usually designed and developed by using well-suited architectures and platforms having the aim of simplifying and making straightforward the SE implementation. Up to now, SEs are mostly reactive and, in some ways, proactive. Current research efforts are devoted to making such environments cognitive, i.e., able to automatically adapt and adhere to the possible changes in users' needs and behaviors. Anyway, in this field, the development of SEs is still in its infancy. In this direction, the paper proposes a novel Cognitive-enabled, Edge-based Internet of Things (CEIoT) architecture, purposely designed to develop cognitive IoT-based SEs. Such architecture wants to overcome some limitations arising during the usage of common SE platforms and architectures. CEIoT introduces some abstractions ranging from the "in-platform" implementation of decentralized cognitive algorithms to the realization of smart data aggregations.},
keywords = {Architectures, Cognitive Internet of Things, Edge computing, smart environments},
pubstate = {published},
tppubtype = {inproceedings}
}
Briante, O.; Cicirelli, F.; Guerrieri, A.; Iera, A.; Mercuri, A.; Ruggeri, G.; Spezzano, G.; Vinci, A.
A social and pervasive IoT platform for developing smart environments Book Chapter
In: 2019, ISSN: 21991081.
Abstract | Links | BibTeX | Tag: Edge computing, IoT development platforms, IoT-based applications, Multi agent systems, smart environments, social internet of things
@inbook{Briante2019,
title = {A social and pervasive IoT platform for developing smart environments},
author = {O. Briante and F. Cicirelli and A. Guerrieri and A. Iera and A. Mercuri and G. Ruggeri and G. Spezzano and A. Vinci},
doi = {10.1007/978-3-319-96550-5_1},
issn = {21991081},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
journal = {Internet of Things},
abstract = {Nowadays, the increasing in the use of Internet of Things (IoT) devices is growing the realization of pervasive Smart Environments (SEs) and Smart Urban Ecosystems, where all the data gathered by the “Things” can be elaborated and used to improve the livability, the safety and the security of the environment, and to make inhabitants lives easier. Many efforts have been already done in the direction of SEs development and in the implementation of platforms specifically designed for SE realization. Anyway, such efforts miss of solutions regarding the interoperability among the realized SEs and other third-part “Things”. This chapter gives an overview of iSapiens, which is a Java-based platform specifically designed for the development and implementation of SEs. iSapiens tries to overcome the interoperability issue by leveraging the Social Internet of Things (SIoT) paradigm that allows to dynamically include in an SE the new “Things” that can appear in an environment without requiring interventions from humans. iSapiens provides tools for the realization of pervasive SEs and relies on the edge computing paradigm. Such paradigm is extremely important in a distributed system since it allows to use distributed storage and computation at the edge of a network, so reducing latencies with respect to move all the executions and storages in the cloud. Moreover, the chapter will review some SE applications realized by exploiting iSapiens concepts.},
keywords = {Edge computing, IoT development platforms, IoT-based applications, Multi agent systems, smart environments, social internet of things},
pubstate = {published},
tppubtype = {inbook}
}
2018
Cicirelli, Franco; Fortino, Giancarlo; Guerrieri, Antonio; Mercuri, Alessandro; Spezzano, Giandomenico; Vinci, Andrea
A Metamodel Framework for Edge-Based Smart Environments Proceedings Article
In: 2018 IEEE International Conference on Cloud Engineering (IC2E), pp. 286-291, 2018.
Abstract | Links | BibTeX | Tag: Computational modeling, Edge computing, internet of things, Metamodeling, modeling, Object oriented modeling, Sensors, smart environments, Smart Office, Timing, Unified modeling language
@inproceedings{8360343,
title = {A Metamodel Framework for Edge-Based Smart Environments},
author = {Franco Cicirelli and Giancarlo Fortino and Antonio Guerrieri and Alessandro Mercuri and Giandomenico Spezzano and Andrea Vinci},
url = {https://ieeexplore.ieee.org/document/8360343/},
doi = {10.1109/IC2E.2018.00067},
year = {2018},
date = {2018-04-01},
booktitle = {2018 IEEE International Conference on Cloud Engineering (IC2E)},
pages = {286-291},
abstract = {Smart Environments (SEs) are pervasive systems usually built on top of IoT-based sensing and actuation devices which are spread in an environment. The increase of the on-board computational capacity of the used devices opens to the possibility of naturally exploiting the edge computing paradigm in which the computation is pushed at the edge of the network. Anyway, despite the huge interest towards SEs, there is a lack of approaches for their design. This paper proposes an enhancement of the existing Smart Environment Metamodel (SEM) framework suited for designing SEs. The provided extension aims at taking into account issues related to edge computing, management of timing information and definition of the data types involved in data sources. The effectiveness of the whole proposal is assessed through a case study describing the development of a Smart Office.},
keywords = {Computational modeling, Edge computing, internet of things, Metamodeling, modeling, Object oriented modeling, Sensors, smart environments, Smart Office, Timing, Unified modeling language},
pubstate = {published},
tppubtype = {inproceedings}
}
Cicirelli, F.; Fortino, G.; Guerrieri, A.; Spezzano, G.; Vinci, A.
A Scalable Agent-Based Smart Environment for Edge-Based Urban IoT Systems Proceedings Article
In: 2018, ISSN: 18678211.
Abstract | Links | BibTeX | Tag: Edge computing, Intelligent agents, IoT, smart environments, Urban computing
@inproceedings{Cicirelli2018,
title = {A Scalable Agent-Based Smart Environment for Edge-Based Urban IoT Systems},
author = {F. Cicirelli and G. Fortino and A. Guerrieri and G. Spezzano and A. Vinci},
doi = {10.1007/978-3-319-93797-7_7},
issn = {18678211},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST},
volume = {242},
abstract = {New Internet of Things (IoT) applications are encouraging Smart City and Smart Environments initiatives all over the world, by leveraging big data and ubiquitous connectivity. This new technology enables systems to monitor, manage and control devices, and to create new knowledge and actionable information, by the real-time analysis of data streams. In order to develop applications in the depicted scenario, the adoption of new paradigms is required. This paper suggests combining the emergent concept of edge/fog computing with the agent metaphor, so as to enable designing systems based on the decentralization of control functions over distributed autonomous and cooperative entities, which run at the edge of the network. Moreover, we suggest the adoption of the iSapiens platform as a reference, as it was designed specifically for the mentioned purposes. Multi-agent applications running on top of iSapiens can create smart services using adaptive and decentralized algorithms which exploit the principles of cognitive IoT.},
keywords = {Edge computing, Intelligent agents, IoT, smart environments, Urban computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Cicirelli, F.; Guerrieri, A.; Mercuri, A.; Spezzano, G.; Vinci, A.
Cognitive smart environment: An approach based on concept hierarchies and sensor data fusion Journal Article
In: International Journal of Simulation and Process Modelling, vol. 13, iss. 5, 2018, ISSN: 17402131.
Abstract | Links | BibTeX | Tag: Cognitive Internet of Things, Context awareness, multi-agent systems, res-novae, Sensor data fusion, smart city, smart environments, Smart museum, Statecharts
@article{Cicirelli2018c,
title = {Cognitive smart environment: An approach based on concept hierarchies and sensor data fusion},
author = {F. Cicirelli and A. Guerrieri and A. Mercuri and G. Spezzano and A. Vinci},
doi = {10.1504/IJSPM.2018.094741},
issn = {17402131},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {International Journal of Simulation and Process Modelling},
volume = {13},
issue = {5},
abstract = {Sensor data fusion gathers technological solutions for collecting, classifying and combining data from multiple sensors in a smart environment for augmenting knowledge about the system and realising cognitive behaviours. The goal is to make effective the management of acquired data and to promote the realisation of cognitive systems which can sense the environment, reason, and properly (re)act for reaching some purposes. Anyway, the development of such systems asks for suitable approaches able to deal with issues like heterogeneity, sensor/actuator management, system reactivity, behavioural modelling, and context awareness. This paper proposes a multi-tier approach, based on concept hierarchies and sensor data fusion, dealing with the above aspects. The approach favours separation of concerns and abstractions. It relies on the use of the agent metaphor and statecharts. The iSapiens platform is suggested for implementation purposes. As a significant case study, the development of a smart museum located in Cosenza (Italy) is proposed.},
keywords = {Cognitive Internet of Things, Context awareness, multi-agent systems, res-novae, Sensor data fusion, smart city, smart environments, Smart museum, Statecharts},
pubstate = {published},
tppubtype = {article}
}
Cicirelli, F.; Guerrieri, A.; Mercuri, A.; Spezzano, G.; Vinci, A.
IoT-centric edge computing for context-aware smart environments Proceedings Article
In: 2018, ISBN: 9781538672440.
Abstract | Links | BibTeX | Tag: Context awareness, Edge computing, internet of things, Methodological approaches, smart environments
@inproceedings{Cicirelli2018d,
title = {IoT-centric edge computing for context-aware smart environments},
author = {F. Cicirelli and A. Guerrieri and A. Mercuri and G. Spezzano and A. Vinci},
doi = {10.1109/ICIOT.2018.00031},
isbn = {9781538672440},
year = {2018},
date = {2018-01-01},
journal = {Proceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services},
abstract = {The ever increasing diffusion of the Internet of Things is currently promoting the development of pervasive Smart Environments. The effectiveness of such systems is highly related to the capability of dealing with possible changes in users' habits, adapting the system to people needs and envisaging people behaviors. For this purposes, it becomes important to have methodological approaches and technologies favoring the development of cognitive systems aware of what is happening inside them. In this paper a methodological approach for the development of context-aware IoT-based Smart Environments is proposed. Such approach relies on a three-layered architecture offering some well suited abstractions taking also into account that computational resources in a system can be located either at the edge of the network or in the Cloud. A case study is proposed which concerns the development of a Smart Office devoted to forecast workers' presence and to adapt the office environmental conditions to them.},
keywords = {Context awareness, Edge computing, internet of things, Methodological approaches, smart environments},
pubstate = {published},
tppubtype = {inproceedings}
}
2017
Cicirelli, Franco; Fortino, Giancarlo; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea
Metamodeling of Smart Environments: from Design to Implementation Journal Article
In: Advanced engineering informatics, 2017, ISSN: 1474-0346.
Abstract | Links | BibTeX | Tag: cyber physical systems, development methodology, domus, internet of things, modeling, smart environments
@article{cic:advei:2017,
title = {Metamodeling of Smart Environments: from Design to Implementation},
author = {Franco Cicirelli and Giancarlo Fortino and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci},
url = {www.sciencedirect.com/science/article/pii/S1474034616302063},
doi = {10.1016/j.aei.2016.11.005},
issn = {1474-0346},
year = {2017},
date = {2017-08-01},
urldate = {2017-08-01},
journal = {Advanced engineering informatics},
abstract = {A smart environment is a physical environment enriched with sensing, actuation, communication and computation capabilities aiming at acquiring and exploiting knowledge about the environment so as to adapt itself to its inhabitants' preferences and requirements. In this domain, there is the need of tools supporting the design and analysis of applications. In this paper, the Smart Environment Metamodel (SEM) framework is proposed. The framework allows to model applications by exploiting concepts specific to the smart environment domain. SEM approaches the modeling from two different points of view, namely the functional and data perspectives. The application of the framework is supported by a set of general guidelines to drive the analysis, the design and the implementation of smart environments. The effectiveness of the framework is shown by applying it to the modeling of a real smart office scenario that has been developed, deployed and analyzed.},
keywords = {cyber physical systems, development methodology, domus, internet of things, modeling, smart environments},
pubstate = {published},
tppubtype = {article}
}
Cicirelli, Franco; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea; Briante, Orazio; Iera, Antonio; Ruggeri, Giuseppe
An edge-based approach to develop large-scale smart environments by leveraging SIoT Proceedings Article
In: Networking, Sensing and Control (ICNSC), 2017 IEEE 14th International Conference on, pp. 738–743, IEEE 2017, ISBN: 978-1-5090-4428-3.
Abstract | Links | BibTeX | Tag: Edge computing, internet of things, multi-agent systems, smart environments, social internet of things
@inproceedings{cicirelli2017edge,
title = {An edge-based approach to develop large-scale smart environments by leveraging SIoT},
author = {Franco Cicirelli and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci and Orazio Briante and Antonio Iera and Giuseppe Ruggeri},
url = {http://ieeexplore.ieee.org/document/8000182/},
doi = {10.1109/ICNSC.2017.8000182},
isbn = {978-1-5090-4428-3},
year = {2017},
date = {2017-01-01},
booktitle = {Networking, Sensing and Control (ICNSC), 2017 IEEE 14th International Conference on},
pages = {738–743},
organization = {IEEE},
abstract = {Abstract—Large-scale Smart Environments (LSEs) are open and dynamic systems where issues related to scalability and interoperability require to be carefully addressed. Moreover, as such systems typically extend on a wide area and include a huge number of interacting devices, aspects concerning services and objects discovery and reputation assessment require being managed. Despite the increasing interest in this topic, there is a lack of approaches for developing LSEs. This paper proposes an agent-based approach for the development of LSEs which leverages Edge Computing and Social Internet of Things paradigms in order to address the above mentioned issues. The effectiveness of such an approach is assessed through a case study involving a Smart School District environment.},
keywords = {Edge computing, internet of things, multi-agent systems, smart environments, social internet of things},
pubstate = {published},
tppubtype = {inproceedings}
}
Cicirelli, Franco; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea; Briante, Orazio; Iera, Antonio; Ruggeri, Giuseppe
Edge Computing and Social Internet of Things for large-scale smart environments development Journal Article
In: IEEE Internet of Things Journal, vol. PP, no 99, pp. 1-1, 2017, ISSN: 2327-4662.
Abstract | Links | BibTeX | Tag: domus, Edge computing, internet of things, multi-agent systems, smart city, smart environments
@article{iotj2017,
title = {Edge Computing and Social Internet of Things for large-scale smart environments development},
author = {Franco Cicirelli and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci and Orazio Briante and Antonio Iera and Giuseppe Ruggeri},
doi = {10.1109/JIOT.2017.2775739},
issn = {2327-4662},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
journal = {IEEE Internet of Things Journal},
volume = {PP},
number = {99},
pages = {1-1},
abstract = {Large-scale Smart Environments (LSEs) are open and dynamic systems typically extending over a wide area and including a huge number of interacting devices with a heterogeneous nature. Thus, during their deployment scalability and interoperability are key requirements to be definitely taken into account. To these, discovery and reputation assessment of services and objects have to be added, given that new devices and functionalities continuously join LSEs. In spite of the increasing interest in this topic, effective approaches to develop LSEs are still missing. This paper proposes an agent-based approach that leverages Edge Computing and Social Internet of Things paradigms in order to address the above mentioned issues. The effectiveness of such an approach is assessed through a sample case study involving a commercial road environment.},
keywords = {domus, Edge computing, internet of things, multi-agent systems, smart city, smart environments},
pubstate = {published},
tppubtype = {article}
}
Cicirelli, F.; Guerrieri, A.; Spezzano, G.; Vinci, A.; Briante, O.; Ruggeri, G.
ISapiens: A platform for social and pervasive smart environments Proceedings Article
In: 2017, ISBN: 9781509041305.
Abstract | Links | BibTeX | Tag: Agent Computing, Edge computing, smart environments, social internet of things
@inproceedings{Cicirelli2017c,
title = {ISapiens: A platform for social and pervasive smart environments},
author = {F. Cicirelli and A. Guerrieri and G. Spezzano and A. Vinci and O. Briante and G. Ruggeri},
doi = {10.1109/WF-IoT.2016.7845502},
isbn = {9781509041305},
year = {2017},
date = {2017-01-01},
journal = {2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016},
abstract = {The advent of Internet of Things (IoT) has fueled the implementation of Smart Environments (SEs) where the information made available by the 'Things' is processed and utilized to increase the livability, the safety and the security of the environment, and to make easier the life of its inhabitants. In literature there are many attempts to create specific SEs or platform for the SEs realization. Although effective, these solutions lack of interoperability with other third-part 'Things'. In this paper we propose iSapiens, a Java-based platform for the design and the implementation of SEs. iSapiens deals with the above mentioned limitation by leveraging the Social Internet of Things (SIoT) paradigm to dynamically include in a SE newly available 'Things' without requiring any human intervention. iSapiens allows the creation of pervasive smart environments by exploiting the edge computing paradigm, that makes locally available distributed storage and computational resources without introducing latency and causing bandwidth shortage.},
keywords = {Agent Computing, Edge computing, smart environments, social internet of things},
pubstate = {published},
tppubtype = {inproceedings}
}
Cicirelli, F.; Fortino, G.; Guerrieri, A.; Spezzano, G.; Vinci, A.
Edge enabled development of Smart Cyber-Physical Environments Proceedings Article
In: 2017, ISBN: 9781509018970.
Abstract | Links | BibTeX | Tag: Agent Computing, Cyber-Physical Systems, Edge computing, internet of things, smart environments, Smart Office
@inproceedings{Cicirelli2017d,
title = {Edge enabled development of Smart Cyber-Physical Environments},
author = {F. Cicirelli and G. Fortino and A. Guerrieri and G. Spezzano and A. Vinci},
doi = {10.1109/SMC.2016.7844769},
isbn = {9781509018970},
year = {2017},
date = {2017-01-01},
journal = {2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings},
abstract = {Smart Cyber-Physical Environments are augmented physical environments whose behaviours are enhanced through the use of ICT technologies. The goal is to offer new services and functionalities devoted to meet people's needs and preferences, and to better exploit existing services and infrastructures. The use of IoT technologies, paired with the edge computing, fosters the development of Smart Environment applications having the important features of reliability, scalability and extensibility. This paper proposes an approach for the design and the implementation of Smart Cyber Physical Environment applications having the aforementioned features. The approach relies on the use of isapiens which is an IoT platform enabling edge computing through the exploitation of the agent metaphor. Such platform provides effective abstractions which are able to hide heterogeneity of both the adopted hardware devices and communication protocols. The approach is validated through a case study involving the realization of a Smart Office prototype for profiling and monitoring daily working activities and performing actuations in the environment on the basis of the obtained information.},
keywords = {Agent Computing, Cyber-Physical Systems, Edge computing, internet of things, smart environments, Smart Office},
pubstate = {published},
tppubtype = {inproceedings}
}
2016
Cicirelli, Franco; Fortino, Giancarlo; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea
A meta-model framework for the design and analysis of smart cyber-physical environments Proceedings Article
In: 20th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2016, Nanchang, China, May 4-6, 2016, pp. 687–692, IEEE, 2016.
Links | BibTeX | Tag: cyber physical systems, development methodology, internet of things, modeling, smart environments, uml
@inproceedings{CicirelliFGSV16,
title = {A meta-model framework for the design and analysis of smart cyber-physical environments},
author = {Franco Cicirelli and Giancarlo Fortino and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci},
url = {http://dx.doi.org/10.1109/CSCWD.2016.7566072},
doi = {10.1109/CSCWD.2016.7566072},
year = {2016},
date = {2016-01-01},
booktitle = {20th IEEE International Conference on Computer Supported Cooperative
Work in Design, CSCWD 2016, Nanchang, China, May 4-6, 2016},
pages = {687–692},
publisher = {IEEE},
keywords = {cyber physical systems, development methodology, internet of things, modeling, smart environments, uml},
pubstate = {published},
tppubtype = {inproceedings}
}