{"id":3711,"date":"2019-06-10T11:12:49","date_gmt":"2019-06-10T09:12:49","guid":{"rendered":"https:\/\/dyrecta.com\/lab\/?p=3711"},"modified":"2019-06-10T12:00:46","modified_gmt":"2019-06-10T10:00:46","slug":"dyrecta-lab-partecipa-alla-conferenza-internazionale-organizzata-dalla-ieee","status":"publish","type":"post","link":"https:\/\/www.dyrecta.com\/lab\/dyrecta-lab-partecipa-alla-conferenza-internazionale-organizzata-dalla-ieee\/","title":{"rendered":"Dyrecta Lab partecipa alla Conferenza Internazionale organizzata dalla IEEE"},"content":{"rendered":"

Dyrecta Lab ha presentato alla conferenza internazionale organizzata dalla IEEE i seguenti lavori dal titolo:<\/p>\n

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  1. “Inline Image Vision Technique for Tires Industry 4.0: Quality and Defect Monitoring in Tires Assembly”<\/li>\n
  2. “Sensing and Quality Monitoring Facilities Designed for Pasta Industry Including Traceability, Image Vision and Predictive Maintenance”<\/li>\n
  3. “A Preliminar Research Industry Project: a Case of Study defining Requirements for Knowledge Base Gain and Technological Upgrade in Industry Working in Train Parts Processing and Testing”<\/li>\n
  4. “Advanced Process Defect Monitoring Model and Prediction Improvement by Artificial Neural Network in Kitchen Manufacturing Industry: a Case of Study”<\/li>\n
  5. “A Decision Making Process Model based on a Multilevel Control Platform Suitable for Industry 4.0”<\/li>\n<\/ol>\n

    I lavori, accettati dalla comunit\u00e0 scientifica della IEEE, dimostrano come i casi di studio di Ricerca Industriale con integrazione della IoT e delle facilities di Industria 4.0 possano rientrare nei canoni della ricerca del “Manuale Frascati”, seguendo opportune metodologie scientifiche.<\/p>\n