Monitoring Approach of Cyber-physical Systems by Quality Measures
MERINO LASO, Pedro
Lab-STICC_TB_CID_DECIDE
Département Image et Traitement Information [ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
Lab-STICC_TB_CID_DECIDE
Département Image et Traitement Information [ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
BROSSET, David
Institut de Recherche de l'Ecole Navale [IRENAV]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
Institut de Recherche de l'Ecole Navale [IRENAV]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
PUENTES, John
Lab-STICC_TB_CID_DECIDE
Département Image et Traitement Information [ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
Lab-STICC_TB_CID_DECIDE
Département Image et Traitement Information [ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
MERINO LASO, Pedro
Lab-STICC_TB_CID_DECIDE
Département Image et Traitement Information [ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
Lab-STICC_TB_CID_DECIDE
Département Image et Traitement Information [ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
BROSSET, David
Institut de Recherche de l'Ecole Navale [IRENAV]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
Institut de Recherche de l'Ecole Navale [IRENAV]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
PUENTES, John
Lab-STICC_TB_CID_DECIDE
Département Image et Traitement Information [ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
< Réduire
Lab-STICC_TB_CID_DECIDE
Département Image et Traitement Information [ITI]
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
Langue
en
Communication dans un congrès avec actes
Ce document a été publié dans
Proceedings S-CUBE 2016 : 7th International Conference on Sensor Systems and Software, S-CUBE 2016 : 7th International Conference on Sensor Systems and Software, 2016-12-01, Nice. 2017, vol. 205, p. 105 - 117
Springer
Résumé en anglais
Modern cities, industrial plants, cars, trucks, and vessels, among others, make extensive use of cyber-physical systems and sensors. These systems are very critical and contribute to assist decision making. Large data ...Lire la suite >
Modern cities, industrial plants, cars, trucks, and vessels, among others, make extensive use of cyber-physical systems and sensors. These systems are very critical and contribute to assist decision making. Large data streams are thus produced and analyzed to extract information that allows building knowledge through a set of principles called wisdom. However, because of multiple imperfections, as well as intrinsic, contextual, and extrinsic conditions that alter data, the quality of the generated streams must be evaluated, to determine how relevant they are for decision support. This paper presents a methodology to monitor cyber-physical systems by quality estimation, which defines suitable evaluation characteristics for pertinent analysis. Quality assessment is defined for data imperfections, information dimensions, knowledge factors, and wisdom aspects. The case study of a cyber-physical network of a liquid container training platform is presented in detail, to show how the approach can be applied. Obtained measures are multidimensional, heterogeneous, and variable.< Réduire
Mots clés en anglais
Monitoring
Sensor data processing
Multi-source sensor network
Cyber-physical system
Data quality
Information quality
Origine
Importé de halUnités de recherche