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Просмотр по автору "Distefano S."

Просмотр по автору "Distefano S."

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  • Pinciroli R.; Distefano S. (2017)
    Copyright © 2016 EAI. The widespread and pervasive adoption of smart devices is boosting Internet of Things and contribution-based paradigms. In particular, Mobile Crowdsensing (MCS), due to its big potential of sharing ...
  • Bruneo D.; Distefano S.; Longo F.; Merlino G.; Puliafito A.; Zaia A. (2017)
    © 2017 IEEE. Smart boards are triggering the IoT revolution, allowing to make common objects and things smart through their network, storage and processing capabilities. Arduino boards have a prominent role in this revolution, ...
  • Dautov R.; Distefano S.; Buyya R. (2019)
    © 2019, The Author(s). The Internet of Things (IoT) facilitates creation of smart spaces by converting existing environments into sensor-rich data-centric cyber-physical systems with an increasing degree of automation, ...
  • Distefano S.; Bruneo D.; Longo F.; Merlino G.; Puliafito A. (2017)
    © 2016, Springer Science+Business Media New York.The adoption of Internet of Things devices and, more in general, embedded systems, endowed with sensors and actuators, keeps rising globally, and the scope of their involvement ...
  • Bruneo D.; Distefano S.; Longo F.; Merlino G.; Puliafito A. (2017)
    © 2016 IEEE.In the roadmap for the implementation of ubiquitous computing, ubiquitous sensing and actuation is a milestone still to be reached. It refers to providing sensing and actuation facilities anytime and everywhere. ...
  • Distefano S.; Longo F.; Scarpa M. (2017)
    © 2017 Elsevier B.V.Marking dependency is a powerful tool that allows different firing time distributions to be associated with a stochastic Petri net transition, depending on the marking. Through this feature, the modeler ...
  • Merlino G.; Arkoulis S.; Distefano S.; Papagianni C.; Puliafito A.; Papavassiliou S. (2016)
    © 2015 Elsevier B.V.Consumer-centric mobile devices, such as smartphones, are an emerging category of devices at the edge of the Internet. Leveraging volunteers and their mobiles as a (sensing) data collection outlet is ...
  • Talanov M.; Zykov E.; Erokhi V.; Magid E.; Distefano S.; Gerasimov Y.; Vallverdú J. (2017)
    © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All Rights Reserved. In this paper we present the results of simulation of exitatory Hebbian and inhibitory "sombrero" learning of a hardware architecture ...
  • Vallverdu J.; Talanov M.; Distefano S.; Mazzara M.; Manca M.; Tchitchigin A. (2016)
    © 2016 CESER PUBLICATIONS. This paper introduces a new model of artificial cognitive architecture for intelligent systems, the Neuromodulating Cognitive Architecture (NEUCOGAR). The model is biomimetically inspired and ...
  • Talanov M.; Vallverdú J.; Distefano S.; Mazzara M.; Delhibabu R. (2015)
    © 2015 IEEE. This paper introduces a new model of artificial cognitive architecture for intelligent systems, the Neuromodulating Cognitive Architecture (NEUCOGAR). The model is bio mimetically inspired and adapts the ...
  • Distefano S.; Bruneo D.; Longo F.; Merlino G.; Puliafito A. (2017)
    © 2016, Springer Science+Business Media New York.The health monitoring component is the essential block, a pillar of several e-health systems. Plenty of health tracking applications and specific technologies such as smart ...
  • Dautov R.; Veloudis S.; Paraskakis I.; Distefano S. (2017)
    © Springer International Publishing AG 2017. As the number of connected devices is exponentially growing, the IoT community is investigating potential ways of overcoming the resulting heterogeneity to enable device ...
  • Dautov R.; Distefano S.; Senko O.; Surnin O. (2018)
    © Springer International Publishing AG 2018. As the number of IoT devices is exponentially growing, and IoT networks are expanding in their size and complexity, timely device discovery is becoming a pressing concern. The ...
  • Distefano S.; Longo F.; Scarpa M. (2015)
    © 2015, Springer Science+Business Media Dordrecht. The wide spreading of smart devices drives to develop distributed applications of increasing complexity, attracting efforts from both research and business communities. ...
  • Distefano S.; Scarpa M. (2017)
    Copyright © 2016 EAI. Workflows are logical abstraction of processes widely adopted in several contexts. Design and operation of workflows are critical stages where issues not manifested by the single block arise from ...
  • Merlino G.; Longo F.; Distefano S.; Bruneo D.; Puliafito A. (2017)
    Copyright © 2016 EAI. Integration of the Internet of Things (IoT) with the Cloud may lead to a range of different architectures and solutions. Our efforts in this domain are mainly geared towards making IoT systems available ...
  • Leukhin A.; Distefano S. (2018)
    © 2018 The Authors. This work aims at demonstrating that the neuromodulatory mechanisms that control the emo-tional states of mammals (specifically rat's brains) can be represented and re-implemented in a computational ...
  • Merlino G.; Bruneo D.; Longo F.; Puliafito A.; Distefano S. (2016)
    © 2015 IEEE.A Smart City represents an improvement of today cities that strategically exploits many smart factors to increase the city sustainable growth and strengthen city functions, while ensuring citizen quality of ...
  • Bruneo D.; Distefano S.; Longo F.; Merlino G.; Puliafito A.; D'Amico V.; Sapienza M.; Torrisi G. (2016)
    © 2016 IEEE.Fog computing envisions computation logic to be moved at the edge of the Internet where data needs to be quickly elaborated, decisions made, and actions performed. Delegating to the Cloud the whole burden of ...
  • Longo F.; Bruneo D.; Distefano S.; Merlino G.; Puliafito A. (2017)
    © 2016, Institut Mines-Télécom and Springer-Verlag France. With the increasing adoption of embedded smart devices and their involvement in different application fields, complexity may quickly grow, thus making vertical ad ...

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