@article {533, title = {An approach to implement the {\textquotedblleft}Smart Office{\textquotedblright} idea: the $\#$SmartMe Energy system}, journal = { Journal of Ambient Intelligence and Humanized Computing}, year = {2018}, month = {05/2018}, pages = {1-19}, abstract = {

Getting cities and communities smarter means to use\ Information and Communication Technology (ICT)\ to transform their {\textquotedblleft}metabolism{\textquotedblright} in order to offer sustainable services for people. This mission is a strategic but also very complex process that involves worldwide stakeholders (i.e., governments, entities, businesses and citizens), areas and infrastructures (e.g., buildings, homes, offices, urban parks, industrial plants). As part of this process, balancing sustainability and comfort objectives with energy efficiency and cost-saving requirements is a challenge. The\ Internet of Things (IoT)\ paradigm can help this process from the collection to the management of large amount of data. Generally, the conventional notion of sustainability is related to three main aspects, i.e., environmental, economic and social. If protection and resource conservation are typically environmental objectives, at the same time prosperity and continuity in urban contexts are two economical goals. Social well-being and equity complete the characterization of sustainability. Following this approach, in this paper we present and discuss the\ $\#$SmartMe Energy\ system, implemented at the\ University of Messinaas part of the $\#$SmartMe crowdfunding project. It allows employees to optimize the use of all the electrical equipments. The result is the reduction of energy consumptions and costs also improving sustainability and comfort inside offices, thus becoming {\textquotedblleft}smart offices{\textquotedblright}.

}, keywords = {Energy-aware systems, Internet of Things, smart buildings, Smart offices, SmartME, Sustainability}, issn = {1868-5145}, doi = {10.1007/s12652-018-0809-0}, url = {https://link.springer.com/article/10.1007\%2Fs12652-018-0809-0}, author = {Maurizio Giacobbe and Giuseppe Pellegrino and Marco Scarpa and Antonio Puliafito} } @proceedings {537, title = {Using InfluxDB Time Series Database To Manage Smart Environments}, journal = {4th Italian Conference on ICT for Smart Cities And Communities (iCities 2018)}, year = {2018}, month = {09/2018}, address = {L{\textquoteright}Aquila, Italy}, abstract = {

The data of the Public Administrations (PAs), together with technologies and platforms developed to provide services to citizens, are the basis of the PA digital heritage.

Referring to the Italian context, the Three-Year Plan for Information and Communication Technology (ICT) in the PA addresses the optimization of both the front-end and the back-end management in order to enable a new paradigm that (i) goes beyond the old {\textquoteleft}{\textquoteleft}silos logic{\textquoteright}{\textquoteright} and (ii) puts software components in common among the PAs.

In this work we present our vision and the related strategy, based on continuous queries and retention policies, resulting from the $\#$SmartME project experience.

Specifically, we present a case study related to the use of the InfluxDB\ time series database at the back-end side.

The goal is to enable new opportunities for heterogeneous stakeholders (i.e., people, PA, academia, industries) to meet and define new synergies in Smart Environments.

}, keywords = {Continuous Queries, E-government, InfluxDB, Retention Policies, smart cities, smart environments, SmartME}, url = {http://icities2018.disim.univaq.it/program.html$\#$abstracts}, author = {Maurizio Giacobbe and Riccardo Di Pietro and Antonino Longo Minnolo and Marco Todaro and Antonio Puliafito} } @proceedings {Kushwaha2018864, title = {Providing sensor services by data correlation: The $\#$SmartME approach}, journal = {Conference on Complex, Intelligent, and Software Intensive Systems}, volume = {611}, year = {2017}, note = {cited By 0; Conference of 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 ; Conference Date: 10 July 2017 Through 12 July 2017}, pages = {864-874}, publisher = {Springer Verlag}, address = {Torino, Italy - 10-12 July 2017}, abstract = {

In the current era Internet is the most used medium for sharing and retrieving the information for building applications which are commonly developed for enhancing the user experience in terms of comfort, communication. For this, the need of real-time sensor data gains importance. The data collected from the physical objects should be easily available for different applications. Semantic representation of the sensor data directly addresses the problem of storing it in logical, easily accessible and extensible manner. Our paper works towards converting the already collected sensor data of the $\#$SmartME project into semantic format and also proposes real-time storage of semantically enriched sensor data. To build applications using these sensor data the authors consider mainly three kinds of sensors, i.e., Temperature, Humidity, Pressure. Predicting the observed value of any sensor data is the main aim of this work. The analysis leverages other sensors \& environmental parameters such as Date, Time, Longitude, Latitude, Altitude etc. Correlation among these parameters and the accuracy of the predicted results showed the suitability of our proposed idea. {\textcopyright} Springer International Publishing AG 2018.

}, keywords = {Building applications, Complex networks, Correlations, Data correlations, Data mining, Digital storage, Environmental parameter, Real time sensors, Semantic representation, Semantic Web, sensor networks, SmartME, Stack4Things}, isbn = {9783319615653}, issn = {21945357}, doi = {10.1007/978-3-319-61566-0_82}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026317817\&doi=10.1007\%2f978-3-319-61566-0_82\&partnerID=40\&md5=7b4cb65c4b09ea03df77bbea893f4002}, author = {Nidhi Kushwaha and Giovanni Merlino and Francesco Longo and Dario Bruneo and Antonio Puliafito and O.P. Vyas} }