@book {560, title = {Introduction to the IoT}, series = {IOT-OPEN.EU}, volume = {1}, year = {2019}, pages = {362}, publisher = {IOT-OPEN.EU consortium: 2016 - 2019. The content is Copyrighted and distributed under CC BY-NC Creative Commons Licence, free for Non-Commercial use.}, organization = {IOT-OPEN.EU consortium: 2016 - 2019. The content is Copyrighted and distributed under CC BY-NC Creative Commons Licence, free for Non-Commercial use.}, author = {Aleksandr Kapitonov and Dmitrii Dobriborsci and Igor Pantiukhin and Valerii Chernov and Raivo Sell and Rim Puks and Mallor Kingsepp and Agris Nikitenko and Karlis Berkolds and Anete Vagale and Rudolfs Rumba and Piotr Czekalski and Krzysztof Tokarz and Oleg Antemijczuk and Jaros{\l}aw Paduch and Raivo Sell and Salvatore Distefano and Rustem Dautov and Riccardo Di Pietro and Antonino Longo Minnolo and Blanka Czekalska and Ma{\l}gorzata Wiktorczyk} } @article {549, title = {An IoT service ecosystem for Smart Cities: The $\#$SmartME project}, journal = {Internet of Things - Elsevier}, volume = {5}, year = {2019}, pages = {12-33}, abstract = {

$\#$SmartME has been one of the first initiatives in Italy to realize a Smart City through the use of open technologies. Thanks to the use of low cost sensor-powered devices scattered over the city area, different {\textquotedblleft}smart{\textquotedblright} services have been deployed having the Stack4Things framework as the common underlying middleware.\ In this paper, we present the results obtained after 2 years of project highlighting the vertical solutions that have been proposed in different areas ranging from environmental monitoring to parking management.

}, keywords = {Arduino, Blockchain, cloud computing, IoT, OpenStack, Smart city}, issn = {2542-6605}, doi = {https://doi.org/10.1016/j.iot.2018.11.004}, author = {Dario Bruneo and Salvatore Distefano and Maurizio Giacobbe and Antonino Longo Minnolo and Francesco Longo and Giovanni Merlino and Davide Mulfari and Alfonso Panarello and Giuseppe Patan{\`e} and Antonio Puliafito and Carlo Puliafito and Nachiket Tapas} } @proceedings {535, title = {Building a Smart City Service Platform in Messina with the $\#$SmartME Project}, journal = {The 32nd IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA-2018)}, year = {2018}, month = {05/2018}, address = {Pedagogical University of Cracow, Poland}, abstract = {

Some words mark an era, and "Smart City" is definitely one of these. A Smart City is an urban area where the Information and Communication Technologies (ICT) are employed to improve citizens{\textquoteright} Quality of Life (QoL) in areas such as: mobility, urban surveillance, and energy management. Throughout this paper, we present the $\#$SmartME project, which aims to create an infrastructure and an ecosystem of "smart" services by exploiting existing devices, sensors, and actuators distributed in the city of Messina. We also present the Stack4Things framework, which is the management core of the $\#$SmartME project.

}, keywords = {$\#$SmartME, Arduino, Blockchain, cloud computing, IoT, OpenData, OpenStack, Smart city, Stack4Things}, author = {Dario Bruneo and Sebastiano Chillari and Salvatore Distefano and Maurizio Giacobbe and Antonino Longo Minnolo and Francesco Longo and Giovanni Merlino and Davide Mulfari and Alfonso Panarello and Giuseppe Patan{\`e} and Antonio Puliafito and Carlo Puliafito and Marco Scarpa and Nachiket Tapas and Giancarlo Visalli} } @proceedings {536, title = {Evaluating Information Quality In Delivering IoT-as-a-Service}, journal = {4th IEEE International Workshop on Sensors and Smart Cities, in conjunction with the 4th IEEE Conference on Smart Computing (SmartComp)}, year = {2018}, month = {06/2018}, address = {Taormina, Sicily, Italy}, abstract = {

Combining the Internet of Things (IoT) and Cloud computing is pursuing new levels of efficiency in delivering IoT-as-a-Service (IoTaaS). In such scenario, Public Administrations (PAs) benefit from digitalization process improving development of innovation and administrative transparency. In this paper we propose a strategy to evaluate the quality of information in order to deliver IoTaaS in Smart City context. The goal of the work is to provide an advanced method to support PAs in the process of enhancing public information assets. The proposed strategy extends traditional approaches by using Multiple Criteria Decision Making (MCDM) models for the numerical and qualitative evaluation of public data and related metadata. Furthermore, it provides guidelines to implement the models starting from the data path.

}, author = {Maurizio Giacobbe and Riccardo Di Pietro and Antonino Longo Minnolo 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 {MulfT1706:Wearable, title = {Building TensorFlow Applications in Smart City Scenarios}, journal = {The 3rd IEEE International Conference on Smart Computing (SMARTCOMP 2017)}, year = {2017}, month = {05/2017}, publisher = {IEEE}, address = {Hong Kong, China}, doi = {10.1109/SMARTCOMP.2017.7946991}, author = {Davide Mulfari and Antonino Longo Minnolo and Antonio Puliafito} } @conference {Mulf1706:Wearable, title = {Wearable Devices and {IoT} as Enablers of Assistive Technologies}, booktitle = {Tenth International Conference on Developments in e-Systems Engineering - DeSE2017 (DeSE2017)}, year = {2017}, address = {Paris, France}, abstract = {In assistive technology scenarios, this paper investigates how wearable devices may be used as smart solutions for accessing computers. We focus our attention on a smartwatch available on the consumer market; by using an open source middleware, based on low cost embedded systems, we propose to develop custom apps to process data from smartwatch{\textquoteright}s resources (e.g., sensors) and send them to a Linux single board computer. The latter component plays a critical role because it converts received data into raw input signals for a connected computer by emulating a standard mouse or a keyboard. Since the process requires no software installation on the target device, the user with a disability benefits from a single personalized equipment to control a wide range of computer devices, including traditional personal computers, tablets and smartphones. Additionally, the embedded system accesses the Internet and it takes advantage of the container-based virtualization technology to customize on demand its behaviour according to user{\textquoteright}s needs and preferences.}, keywords = {Assistive Technology, Computer accessibility, Container Based Virtualization, embedded systems, Smartwatch, Wearable devices}, author = {Davide Mulfari and Antonino Longo Minnolo and Antonio Puliafito} }