activity recognition analytics cloud computing Clustering combined sewer overflow cyber physical systems Data Stream data stream mining data stream processing development methodology Edge computing flooding fog computing general purpose GPU computing internet of things Metamodeling modeling multi-agent systems real-time control smart city smart environments smart homes smart objects Smart Office stream clustering swarm intelligence Unified modeling language urban drainage system wearable wireless body sensor networks wireless sensor and actuator networks
2018 |
Cicirelli, Franco; Fortino, Giancarlo; Guerrieri, Antonio; Mercuri, Alessandro; Spezzano, Giandomenico; Vinci, Andrea A Metamodel Framework for Edge-Based Smart Environments Inproceedings 2018 IEEE International Conference on Cloud Engineering (IC2E), pp. 286-291, 2018. Abstract | Links | BibTeX | Tags: 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} } 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. |
2017 |
Cicirelli, Franco; Fortino, Giancarlo; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea Metamodeling of Smart Environments: from Design to Implementation Journal Article Advanced engineering informatics, 2017, ISSN: 1474-0346. Abstract | Links | BibTeX | Tags: cyber physical systems, development methodology, 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}, 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, internet of things, modeling, smart environments}, pubstate = {published}, tppubtype = {article} } 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. |
Cicirelli, Franco; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea An edge-based platform for dynamic smart city applications Journal Article Future Generation Computer Systems, pp. -, 2017, ISSN: 0167-739X. Abstract | Links | BibTeX | Tags: cyber physical systems, Edge computing, internet of things, multi-agent systems, smart city, Urban computing @article{Cicirelli2017, title = {An edge-based platform for dynamic smart city applications}, author = {Franco Cicirelli and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci}, url = {http://www.sciencedirect.com/science/article/pii/S0167739X16308342}, doi = {10.1016/j.future.2017.05.034}, issn = {0167-739X}, year = {2017}, date = {2017-06-15}, journal = {Future Generation Computer Systems}, pages = {-}, abstract = {Abstract A Smart City is a cyber-physical system improving urban behavior and capabilities by providing ICT-based functionalities. An infrastructure for Smart City has to be geographically and functionally extensible, as it requires both to grow up with the physical environment and to meet the increasing in needs and demands of city users/inhabitants. In this paper, we propose iSapiens, an IoT-based platform for the development of general cyber-physical systems suitable for the design and implementation of smart city services and applications. As distinguishing features, the iSapiens platform implements the edge computing paradigm through both the exploitation of the agent metaphor and a distributed network of computing nodes directly scattered in the urban environment. The platform promotes the dynamic deployment of new computing nodes as well as software agents for addressing geographical and functional extensibility. iSapiens provides a set of abstractions suitable to hide the heterogeneity of the physical sensing/actuator devices embedded in the system, and to support the development of complex applications. The paper also furnishes a set of methodological guidelines exploitable for the design and implementation of smart city applications by properly using iSapiens. As a significant case study, the design and implementation of a real Smart Street in the city of Cosenza (Italy) are shown, which provides decentralized urban intelligence services to citizens.}, keywords = {cyber physical systems, Edge computing, internet of things, multi-agent systems, smart city, Urban computing}, pubstate = {published}, tppubtype = {article} } Abstract A Smart City is a cyber-physical system improving urban behavior and capabilities by providing ICT-based functionalities. An infrastructure for Smart City has to be geographically and functionally extensible, as it requires both to grow up with the physical environment and to meet the increasing in needs and demands of city users/inhabitants. In this paper, we propose iSapiens, an IoT-based platform for the development of general cyber-physical systems suitable for the design and implementation of smart city services and applications. As distinguishing features, the iSapiens platform implements the edge computing paradigm through both the exploitation of the agent metaphor and a distributed network of computing nodes directly scattered in the urban environment. The platform promotes the dynamic deployment of new computing nodes as well as software agents for addressing geographical and functional extensibility. iSapiens provides a set of abstractions suitable to hide the heterogeneity of the physical sensing/actuator devices embedded in the system, and to support the development of complex applications. The paper also furnishes a set of methodological guidelines exploitable for the design and implementation of smart city applications by properly using iSapiens. As a significant case study, the design and implementation of a real Smart Street in the city of Cosenza (Italy) are shown, which provides decentralized urban intelligence services to citizens. |
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 Inproceedings 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 | Tags: 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} } 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. |
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 IEEE Internet of Things Journal, PP (99), pp. 1-1, 2017, ISSN: 2327-4662. Abstract | Links | BibTeX | Tags: 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}, 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 = {Edge computing, internet of things, multi-agent systems, smart city, smart environments}, pubstate = {published}, tppubtype = {article} } 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. |
2016 |
Briante, Orazio; Cicirelli, Franco; Guerrieri, Antonio; Ruggeri, Giuseppe; Spezzano, Giandomenico; Vinci, Andrea iSapiens: A Platform for Social and Pervasive Smart Environments. Inproceedings 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), pp. 365-370, IEEE, 2016, ISBN: 978-1-5090-4130-5. Abstract | Links | BibTeX | Tags: fog computing, internet of things, multi-agent systems, smart environments @inproceedings{briante2016, title = {iSapiens: A Platform for Social and Pervasive Smart Environments.}, author = {Orazio Briante and Franco Cicirelli and Antonio Guerrieri and Giuseppe Ruggeri and Giandomenico Spezzano and Andrea Vinci}, doi = {10.1109/WF-IoT.2016.7845502}, isbn = {978-1-5090-4130-5}, year = {2016}, date = {2016-12-01}, booktitle = {2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)}, pages = {365-370}, publisher = {IEEE}, 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 realization of SEs. 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 = {fog computing, internet of things, multi-agent systems, smart environments}, pubstate = {published}, tppubtype = {inproceedings} } 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 realization of SEs. 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. |
Cicirelli, Franco; Fortino, Giancarlo; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea Edge enabled development of Smart Cyber-Physical Environments Inproceedings 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 003463-003468, IEEE, 2016, ISBN: 978-1-5090-1897-0. Abstract | Links | BibTeX | Tags: fog computing, internet of things, multi-agent systems, smart environments @inproceedings{cicSMC2016, title = {Edge enabled development of Smart Cyber-Physical Environments}, author = {Franco Cicirelli and Giancarlo Fortino and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci}, doi = {10.1109/SMC.2016.7844769}, isbn = {978-1-5090-1897-0}, year = {2016}, date = {2016-10-01}, booktitle = {2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, pages = {003463-003468}, publisher = {IEEE}, 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 = {fog computing, internet of things, multi-agent systems, smart environments}, pubstate = {published}, tppubtype = {inproceedings} } 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. |
Cicirelli, Franco; Fortino, Giancarlo; Giordano, Andrea; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea On the Design of Smart Homes: A Framework for Activity Recognition in Home Environment Journal Article Journal of medical systems, 40 (9), pp. 200, 2016, ISSN: 0148-5598. Abstract | Links | BibTeX | Tags: activity recognition, analytics, cloud computing, internet of things, multi-agent systems, smart homes, wearable wireless body sensor networks, wireless sensor and actuator networks @article{cicirelli2016design, title = {On the Design of Smart Homes: A Framework for Activity Recognition in Home Environment}, author = {Franco Cicirelli and Giancarlo Fortino and Andrea Giordano and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci}, doi = {doi:10.1007/s10916-016-0549-7}, issn = {0148-5598}, year = {2016}, date = {2016-07-28}, journal = {Journal of medical systems}, volume = {40}, number = {9}, pages = {200}, publisher = {Springer US}, abstract = {A smart home is a home environment enriched with sensing, actuation, communication and computation capabilities which permits to adapt it to inhabitants preferences and requirements. Establishing a proper strategy of actuation on the home environment can require complex computational tasks on the sensed data. This is the case of activity recognition, which consists in retrieving high-level knowledge about what occurs in the home environment and about the behaviour of the inhabitants. The inherent complexity of this application domain asks for tools able to properly support the design and implementation phases. This paper proposes a framework for the design and implementation of smart home applications focused on activity recognition in home environments. The framework mainly relies on the Cloud-assisted Agent-based Smart home Environment (CASE) architecture offering basic abstraction entities which easily allow to design and implement Smart Home applications. CASE is a three layered architecture which exploits the distributed multi-agent paradigm and the cloud technology for offering analytics services. Details about how to implement activity recognition onto the CASE architecture are supplied focusing on the low-level technological issues as well as the algorithms and the methodologies useful for the activity recognition. The effectiveness of the framework is shown through a case study consisting of a daily activity recognition of a person in a home environment.}, keywords = {activity recognition, analytics, cloud computing, internet of things, multi-agent systems, smart homes, wearable wireless body sensor networks, wireless sensor and actuator networks}, pubstate = {published}, tppubtype = {article} } A smart home is a home environment enriched with sensing, actuation, communication and computation capabilities which permits to adapt it to inhabitants preferences and requirements. Establishing a proper strategy of actuation on the home environment can require complex computational tasks on the sensed data. This is the case of activity recognition, which consists in retrieving high-level knowledge about what occurs in the home environment and about the behaviour of the inhabitants. The inherent complexity of this application domain asks for tools able to properly support the design and implementation phases. This paper proposes a framework for the design and implementation of smart home applications focused on activity recognition in home environments. The framework mainly relies on the Cloud-assisted Agent-based Smart home Environment (CASE) architecture offering basic abstraction entities which easily allow to design and implement Smart Home applications. CASE is a three layered architecture which exploits the distributed multi-agent paradigm and the cloud technology for offering analytics services. Details about how to implement activity recognition onto the CASE architecture are supplied focusing on the low-level technological issues as well as the algorithms and the methodologies useful for the activity recognition. The effectiveness of the framework is shown through a case study consisting of a daily activity recognition of a person in a home environment. |
Giordano, Andrea; Spezzano, Giandomenico; Vinci, Andrea A Smart Platform for Large-Scale Networked Cyber-Physical Systems Book Chapter Management of Cyber Physical Objects in the Future Internet of Things Methods, Architectures and Applications, Springer, 2016. BibTeX | Tags: cyber physical systems, internet of things, multi-agent systems @inbook{giordano2016smart, title = {A Smart Platform for Large-Scale Networked Cyber-Physical Systems}, author = {Andrea Giordano and Giandomenico Spezzano and Andrea Vinci}, year = {2016}, date = {2016-01-01}, booktitle = {Management of Cyber Physical Objects in the Future Internet of Things Methods, Architectures and Applications}, publisher = {Springer}, keywords = {cyber physical systems, internet of things, multi-agent systems}, pubstate = {published}, tppubtype = {inbook} } |
Giordano, Andrea; Spezzano, Giandomenico; Vinci, Andrea Smart Agents and Fog Computing for Smart City Applications Inproceedings International Conference on Smart Cities, pp. 137–146, Springer International Publishing 2016. BibTeX | Tags: cyber physical systems, fog computing, internet of things, multi-agent systems, smart city @inproceedings{giordano2016smartb, title = {Smart Agents and Fog Computing for Smart City Applications}, author = {Andrea Giordano and Giandomenico Spezzano and Andrea Vinci}, year = {2016}, date = {2016-01-01}, booktitle = {International Conference on Smart Cities}, pages = {137--146}, organization = {Springer International Publishing}, keywords = {cyber physical systems, fog computing, internet of things, multi-agent systems, smart city}, pubstate = {published}, tppubtype = {inproceedings} } |
Cicirelli, Franco; Fortino, Giancarlo ; Guerrieri, Antonio ; Spezzano, Giandomenico ; Vinci, Andrea A meta-model framework for the design and analysis of smart cyber-physical environments Inproceedings 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 | Tags: 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} } |
2015 |
Giordano, Andrea; Spezzano, Giandomenico; Sunarsa, Hanry; Vinci, Andrea Twitter to integrate human and Smart Objects by a Web of Things architecture Inproceedings Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th International Conference on, pp. 355–361, IEEE 2015. BibTeX | Tags: internet of things, smart objects, twitter @inproceedings{giordano2015twitter, title = {Twitter to integrate human and Smart Objects by a Web of Things architecture}, author = {Andrea Giordano and Giandomenico Spezzano and Hanry Sunarsa and Andrea Vinci}, year = {2015}, date = {2015-01-01}, booktitle = {Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th International Conference on}, pages = {355--361}, organization = {IEEE}, keywords = {internet of things, smart objects, twitter}, pubstate = {published}, tppubtype = {inproceedings} } |
Fortino, Giancarlo; Giordano, Andrea; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea A Data Analytics Schema for Activity Recognition in Smart Home Environments Inproceedings Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information: 9th International Conference, UCAmI 2015, Puerto Varas, Chile, December 1-4, 2015, Proceedings, pp. 91, Springer 2015. BibTeX | Tags: activity recognition, analytics, cloud computing, internet of things, multi-agent systems, smart homes, wireless sensor and actuator networks @inproceedings{fortino2015data, title = {A Data Analytics Schema for Activity Recognition in Smart Home Environments}, author = {Giancarlo Fortino and Andrea Giordano and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci}, year = {2015}, date = {2015-01-01}, booktitle = {Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information: 9th International Conference, UCAmI 2015, Puerto Varas, Chile, December 1-4, 2015, Proceedings}, volume = {9454}, pages = {91}, organization = {Springer}, keywords = {activity recognition, analytics, cloud computing, internet of things, multi-agent systems, smart homes, wireless sensor and actuator networks}, pubstate = {published}, tppubtype = {inproceedings} } |
2014 |
Giordano, Andrea; Spezzano, Giandomenico; Vinci, Andrea Smart Object e forme di cooperazione Technical Report 2014. BibTeX | Tags: internet of things, smart objects, swarm intelligence @techreport{CNRPRODOTTI342296, title = {Smart Object e forme di cooperazione}, author = {Andrea Giordano and Giandomenico Spezzano and Andrea Vinci}, year = {2014}, date = {2014-01-01}, keywords = {internet of things, smart objects, swarm intelligence}, pubstate = {published}, tppubtype = {techreport} } |
2013 |
Belcastro, Loris; Giordano, Andrea; Spezzano, Giandomenico; Vinci, Andrea Definizione dell'architettura software di un Sistema Cyber-Physical Technical Report 2013. BibTeX | Tags: cyber physical systems, internet of things, multi-agent systems @techreport{CNRPRODOTTI342295, title = {Definizione dell'architettura software di un Sistema Cyber-Physical}, author = {Loris Belcastro and Andrea Giordano and Giandomenico Spezzano and Andrea Vinci}, year = {2013}, date = {2013-01-01}, keywords = {cyber physical systems, internet of things, multi-agent systems}, pubstate = {published}, tppubtype = {techreport} } |