Volume 9, Number 5

A Case Study of Process Engineering of Operations In Working Sites Through Data
Mining and Augmented Reality

  Authors

Alessandro Massaro^1,*, Angelo Galiano¹, Antonio Mustich¹, Daniele Convertini¹, VincenzoMaritati¹, Antonia Colonna¹, Nicola Savino¹, Angela Pace², Leo Iaquinta², ¹Dyrecta Lab, Italy and ²SO.CO.IN. SYSTEM srl, Italy

  Abstract

In this paper is analyzed the design of a software platform concerning a case study of process engineering involving the simultaneous adoption of data digitation, Data Mining –DM- processing, and Augmented Reality -AR-. Specifically is discussed the platform design able to upgrade the Knowledge Base –KBenabling production process optimizations in working sites. The KB is gained by following ‘Frascati’ research guidelines addressing the possible ways to achieve the Knowledge Gain –KG-. The technologies such as AR and data entry mobile app are tailored in order to apply innovative data mining algorithms. In the first part of the paper is commented the preliminary project specifications, besides, in the second part, are shown the use cases, the unified modeling language –UML- models, and the mobile app mockups enabling KG. The proposed work discusses preliminary results of an industry project.

  Keywords

Frascati Guideline, Knowledge Base Gain, Data Mining, Augmented Reality.