@conference {8421336, title = {A Deep Learning Approach for Indoor User Localization in Smart Environments}, booktitle = {2018 IEEE International Conference on Smart Computing (SMARTCOMP)}, year = {2018}, month = {June}, pages = {89-96}, keywords = {Buildings, cloud computing, Deep Learning, deep learning approach, Global Positioning System, Indoor environments, indoor localization, indoor navigation, indoor user localization, indoor user location, integral part, learning (artificial intelligence), Machine learning, radionavigation, smart environments, smart services, telecommunication computing, TensorFlow, user position, Wi-Fi fingerprint, Wireless communication, Wireless fidelity, wireless LAN}, doi = {10.1109/SMARTCOMP.2018.00078}, author = {F. De Vita and D. Bruneo} } @proceedings {548, title = {An Implementation Of InfluxDB For Monitoring And Analytics In Distributed IoT Environments}, journal = {Science of Electronics, Technologies of Information and Telecommunication Conference (SETIT 2018)}, year = {2018}, month = {12/2018}, publisher = {Springer}, address = {Hammamet, Tunisia}, keywords = {cloud computing, InfluxDB, Internet of Things, smart environments, time series database}, author = {Maurizio Giacobbe and Chakib Chaouch 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 {505, title = {A Context-aware Strategy To Properly Use IoT-Cloud Services}, journal = {2017 IEEE International Conference on Smart Computing (SMARTCOMP)}, year = {2017}, month = {05/2017}, pages = {1-6}, publisher = {IEEE}, address = {Hong Kong - China}, abstract = {

Nowadays, we can talk about the Internet of Things (IoT) and Cloud computing union to indicate a new generation of distributed system.

An IoT-Cloud system mainly consists of a set of smart objects which are interconnected through the Internet with a remote Cloud infrastructure, platform, or software.

It allows to achieve new benefits in several contexts, such as smart cities and industrial businesses.

In this paper we propose a context-aware strategy focused on the correct use of the IoT-Cloud services. In particular, a use case driven scenario and a three-step algorithm to define the strategy are presented and discussed.

}, keywords = {Big Data, cloud computing, context-aware systems, Internet of Things, multi criteria decision making, smart cities, smart environments, smart factories}, doi = {10.1109/SMARTCOMP.2017.7946976}, author = {Maurizio Giacobbe and Antonio Puliafito and Riccardo Di Pietro and Marco Scarpa} }