The workshop

The Internet of Everything (IoE) model presents at its core the promise to aggregate the "four pillars" of people, data, processes and things, in order to extend and improve the processes already present in classical models and, in turn, to enrich the lives of people. One of the most intriguing challenges in IoE is the paradigm "connections among things" shifting to "connections among people, process, data and things". At the same time, in a similar manner, the concept of Industry 5.0 makes its way in the nowadays industrial ecosystem. A peculiar necessity in Industry 5.0 is to increase productivity while not removing human workers from the manufacturing processes. This can be tackled by defining and evaluating hybrid ecosystems in which smart machines are intertwined with humans as collaborators rather than competitors.

Goals and motivations

HIEMI 2022 aims at bringing together scientific and industrial communities on discussing, proposing, defining and evaluating innovative and hybrid models for IoE in Industry 5.0 ecosystems. Considering the novelty of the context, the workshop also aims at defining a collaborative research agenda to highlight future research directions.

The workshop focuses on a rapidly advancing context that is attracting a considerable attention both from academic and industrial communities. For instance, according to Semantic Scholar, since 2020 more than 1,700 scientific contributes have been published regarding IoE and relating concepts, such as 6G networks, healthcare systems and edge- and fog-based architectures. Larger mentions are present for Industry 5.0, with more than 250,000 contributes mentioning it. Instantiating a novel workshop on such contexts encourages researchers and practitioners to share new ideas and developments, in order to tackle well known challenges and to pose new ones.

Accepted Papers

  • Paola Pierleoni, Lorenzo Palma, Alberto Belli, Sara Raggiunto and Luisiana Sabbatini. Supervised Regression Learning for Maintenance-related Data
  • Claudia Diamantini, Alex Mircoli, Ornella Pisacane and Domenico Potena. Comparing data-driven meta-heuristics for the bi-objective Component Repairing Problem
  • Paola Pierleoni, Alberto Belli, Lorenzo Palma, Luisiana Sabbatini and Sara Raggiunto. An IoT-based Wireless Sensor Network for Lighting Control Systems
  • Tullio Facchinetti, Marco Arazzi and Antonino Nocera. Time series forecasting for predictive maintenance of refrigeration systems

Program (NEWS!)

The workshop will be held in the first morning session, in the time slot 10:30-11:45. The authors are suggested to prepare 15 minutes long presentations, taking into account also possible questions from the audience. The schedule of the workshop is the following:

  • 10:30-10:35: Welcome talk
  • 10:35-10:50: Paola Pierleoni, Lorenzo Palma, Alberto Belli, Sara Raggiunto and Luisiana Sabbatini. Supervised Regression Learning for Maintenance-related Data
  • 10:50-11:05: Claudia Diamantini, Alex Mircoli, Ornella Pisacane and Domenico Potena. Comparing data-driven meta-heuristics for the bi-objective Component Repairing Problem
  • 11:05-11:20: Paola Pierleoni, Alberto Belli, Lorenzo Palma, Luisiana Sabbatini and Sara Raggiunto. An IoT-based Wireless Sensor Network for Lighting Control Systems
  • 11:20-11:35: Tullio Facchinetti, Marco Arazzi and Antonino Nocera. Time series forecasting for predictive maintenance of refrigeration systems

Program agenda of the main conference is available here.

Topics

Possible topics include, but are not limited to:

  • Green IoT and IoE models for Industry 5.0 technology and engineering applications
  • Smart Manufacturing
  • Predictive Maintenance
  • Remote Diagnosis and Development
  • Artificial Intelligence for IoE
  • Intelligent Planning for IoE processes
  • Context-awareness and Location Awareness methods for Industrial Ecosystems
  • Machine-to-machine Communications
  • Hybrid human-computer interaction
  • Interactive Data Analysis in Industrial settings
  • Data Management Platforms and Framework
  • Cloud and Fog Computing for IoE
  • Edge and Mobile Computing for IoE
  • Social Implications in IoE Industrial Ecosystems
  • Sensor Networks
  • Cyber-physical systems and interfaces

Important dates

  • Submission Due: June 1, 2022 June 15, 2022
  • Author Notification Due: July 1, 2022
  • Camera-ready Submission: July 15, 2022
  • Workshop: September 15, 2022, 10:30 - 11:45

Submission

Authors are invited to submit either full papers, possibly already submitted to other conferences or journals, and short papers, which are suggested for presenting work in progress, extended abstracts, software prototypes, or general overviews of research projects. Workshop submissions must be in PDF format, written in English and formatted according to the IEEE CS Proceedings format.

Full papers should not exceed 6 pages (including bibliography). Shorter papers must not exceed 4 pages.

All accepted original contributions will be published in the official IEEE CyberSciTech proceeding, which will be published by IEEE CPS (Scopus indexed, EI indexed, in IEEE DL). Non-original communications will be given visibility on the workshop website, including a link to the original publication, if already published.

Submissions can be made via the IEEE CyberSciTech conference page on EasyChair. Please select the track "DASC / International Workshop on Hybrid Internet of Everything Models for Industry 5.0)".

Organization

General Chairs

Organizing Committee

  • Alessia Amelio – University "G. D'Annunzio" of Chieti-Pescara (Italy)
  • Enrico Corradini – Polytechnic University of Marche (Italy)
  • Antonino Nocera – University of Pavia (Italy)
  • Luca Virgili - Polytechnic University of Marche (Italy)

Publicity Committee

  • Gianluca Bonifazi – Polytechnic University of Marche (Italy)
  • Michele Marchetti – Polytechnic University of Marche (Italy)

Program Committee

  • Giuseppe Agapito – Università Magna Graecia Catanzaro (Italy)
  • Md Zakirul Alam Bhuiyan – Fordham University (United States)
  • Michelangelo Ceci – University of Bari (Italy)
  • Piero Chiacchiaretta – University "G. D'Annunzio" of Chieti-Pescara (Italy)
  • Tullio Facchinetti – University of Pavia (Italy)
  • Cláudio Farias – Instituto Tércio Paccitti de Pesquisas e Aplicações Computacionais and Programa (Brazil)
  • Giancarlo Fortino – University of Calabria (Italy)
  • Antonio Guerrieri – ICAR CNR (Italy)
  • Ali Hassan – Sukkur Institute of Business Administration (Pakistan)
  • Antonio Liotta – University of Bozen-Bolzano (Italy)
  • Elio Masciari – University of Naples "Federico II" (Italy)
  • Paolo Napoletano – University of Milano-Bicocca (Italy)
  • Souvik Pal – Global Institute of Management and Technology (India)
  • Domenico Potena – Polytechnic University of Marche (Italy)
  • Roberto Riggio – Polytechnic University of Marche (Italy)
  • Claudio Savaglio – ICAR CNR (Italy)
  • Emanuele Storti – Polytechnic University of Marche (Italy)
  • Patrizia Vizza – University Magna Graecia Catanzaro (Italy)

Venue and other information

Venue

The Venue of the Conference is the wonderful Tyrrhenian Coast of Calabria, the most sunny region of the Italian Peninsula in the South Italy, also known as the “Toe of the Boot”. In particular, the Conference venue will be at Hotel Village “Eurolido” on the Tyrrhenian Sea. The venue is very near (< 20Km) the International Airport of Lamezia Terme and the “Lamezia Centrale” train station. For international travellers the best hub to change the flight for Lamezia Terme is usually Rome Fiumicino. The “Lamezia Centrale” train station is well connected to “Rome Termini” train station (multiple daily trains). Travelling by car, the Hotel Village “Eurolido” is a few hundred meters away the freeway exit; the trip can be easily planned on Google Maps.

More information are available on the webpage of the main conference.

Attending

At least one author of an accepted paper should register to the main conference. All the information for the registration are provided in this link.

Contact

Please contact the official workshop email on EasyChair: hiemi2022@easychair.org