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Giancarlo Nota

Giancarlo Nota is an Associate Professor of Software Engineering at the Department of Computer Science, University of Salerno. Since 1982 he has been developing an intense scientific activity in the following fields: programming and specification languages, workflow management systems, project and risk management systems, as well as distributed knowledge management. He was a chairman of various international workshops and is the author of many technical papers in refereed international journals and conferences. In recent years, his research interest about methodological, organizational and technological issues has been directed toward pursuing innovation in the fields of Project and Risk Management in the context of Virtual Enterprises and Networks of Organizations. Nota has been the project and risk manager of many business process reengineering projects. He is also involved in developing actions to promote process innovation and quality management especially in universities and local governments.

2books edited

1chapters authored

Latest work with IntechOpen by Giancarlo Nota

In many human activities risk is unavoidable. It pervades our life and can have a negative impact on individual, business and social levels. Luckily, risk can be assessed and we can cope with it through appropriate management methodologies. The book Risk Management Trends offers to both, researchers and practitioners, new ideas, experiences and research that can be used either to better understand risks in a rapidly changing world or to implement a risk management program in many fields. With contributions from researchers and practitioners, Risk Management Trends will empower the reader with the state of the art knowledge necessary to understand and manage risks in the fields of enterprise management, medicine, insurance and safety.

Risk Management Trends

Risk Management Trends

Edited by Giancarlo Nota

Books edited

Advances in Risk Management

Advances in Risk Management

Edited by Giancarlo Nota

Chapters authored

Text Mining for Industrial Machine Predictive Maintenance with Multiple Data Sources

By Giancarlo Nota and Alberto Postiglione

This paper presents an innovative methodology, from which an efficient system prototype is derived, for the algorithmic prediction of malfunctions of a generic industrial machine tool. It integrates physical devices and machinery with Text Mining technologies and allows the identification of anomalous behaviors, even of minimal entity, rarely perceived by other strategies in a machine tool. The system works without waiting for the end of the shift or the planned stop of the machine. Operationally, the system analyzes the log messages emitted by multiple data sources associated with a machine tool (such as different types of sensors and log files produced by part programs running on CNC or PLC) and deduces whether they can be inferred from them future machine malfunctions. In a preliminary offline phase, the system associates an alert level with each message and stores it in a data structure. At runtime, three algorithms guide the system: pre-processing, matching and analysis: Preprocessing, performed only once, builds the data structure; Matching, in which the system issues the alert level associated with the message; Analysis, which identifies possible future criticalities. It can also analyze an entire historical series of stored messages The algorithms have a linear execution time and are independent of the size of the data structure, which does not need to be sorted and therefore can be updated without any computational effort.

Part of the book: Advances in Dynamical Systems Theory, Models, Algorithms and Applications

Related collaborators

Lal Mohan Saha

Shiv Nadar University , India

Alberto Postiglione

University of Salerno , Italy

Lionel Anague Tabejieu

University of Douala , Cameroon

Blaise Roméo Nana NBendjo

University of Kassel , Germany

Giovanni Filatrella

University of Sannio , Italy

Mrinal Das

Elena Karachanskaya

Michel Moreau

Bernard Gaveau

Sorbonne University , France

Adela Ionescu

University of Craiova , Romania