Laboratoire d’Analyse et d’Architecture des Systèmes
M.ROY, F.BONNET, S.BONOMI, M.O.KILLIJIAN, D.POWELL, L.QUERZONI
TSF, IRISA, Rome
Rapport LAAS N°09190, Avril 2009, 10p.
Diffusable
117293J.GUIOCHET, D.POWELL
TSF
Rapport LAAS N°09142, Mars 2009, 14p.
Diffusable
117022Y.LAAROUCHI, Y.DESWARTE, D.POWELL, J.ARLAT, E.DE NADAI
TSF, AIRBUS France
Manifestation avec acte : EuroSys Workshop on Virtualization Technology for Dependable Systems (VTDS'09), Nuremberg (Allemagne), 31 Mars - 3 Avril 2009, 5p. , N° 09078
Diffusable
Plus d'informations
H.CHU, J.ARLAT, M.O.KILLIJIAN, B.LUSSIER, D.POWELL
TSF
Rapport de Contrat : Projet MARAE V1.0. LAAS-Verimag-Astrium, Janvier 2009, 33p. , N° 09188
Diffusable
117289M.ROY, F.BONNET, L.QUERZONI, S.BONOMI, M.O.KILLIJIAN, D.POWELL
IRISA, TSF, Rome
Manifestation avec acte : 12th International Conference On Principles Of DIstributed Systems (OPODIS 2008), Luxor (Egypte), 15-18 Décembre 2008, 11p. , N° 08487
Diffusable
116344J.GUIOCHET, D.POWELL, O.TAOFIFENUA, T.GUHL, R.BISCHOFF
TSF, Kuka Roboter
Rapport de Contrat : Projet Européen PHRIENDS. FP6-045359, Décembre 2008, 37p. , N° 08712
Diffusion restreinte
116049P.LOLLINI, A.BONDAVALLI, F.BRANCATI, A.CECCARELLI, M.CLEMETSEN, L.COURTES, A.DAIDONE, G.EGELAND, L.FALAI, J.GRONBAEK, O.HAMOUDA, A.F.HANSEN, M.B.HANSEN, M.KAANICHE, M.O.KILLIJIAN, M.KOVACS, M.MAGYAR, I.MAJZIK, E.V.MATTHIESEN, L.MONTECCHI, A.NICKELSEN, J.J.NIELSEN, D.POWELL, J.G.RASMUSSEN, T.RENIER, H.P.SCHWEFEL
UNIFI, CNR-ISTI, TELENOR, TSF, AAU, BME Hungary, AAU Danemark
Rapport de Contrat : HIDENETS, Project IST-FP6-STREP-26979, Décembre 2008, 186p. , N° 08834
Diffusable
117910J.GUIOCHET, D.POWELL, E.BAUDIN, J.P.BLANQUART
TSF, ASTRIUM
Manifestation avec acte : Lambda mu 16 - 16e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Avignon (France), 7-9 Octobre 2008, 7p. , N° 08338
Lien : http://hal.archives-ouvertes.fr/hal-00282460/fr/
Diffusable
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Computer systems have to carry out more and more complex tasks, including ones where humans can be endangered. Residual design faults in such systems, as well as the inevitability of physical faults and interaction faults during operation, motivate the use of safety monitors to prevent catastrophic failures. We present an approach and a formalization of the process for determining safety rules. It consists in identifying safety modes, according to the different tasks carried out by the monitored system. In practice, each safety mode is related to one or several functional modes and is specified by a permissiveness vector that defines the authorized domains of variation of key physical variables. The set of safety modes can be partially ordered according to their authorization vectors and can thus be represented as a directed acyclic graph. This graph is used to automatically build a model representing safety modes and their transitions, which can be implemented in an independent safety monitor. A case study has been carried out on a mobile manipulator robot, working in a factory alongside humans.
J.GUIOCHET, D.POWELL, O.TAOFIFENUA, T.GUHL, R.BISCHOFF
TSF, Kuka Roboter
Rapport de Contrat : Projet Européen PHRIENDS. FP6-045359, Août 2008, 49p. , N° 08711
Diffusion restreinte
116047Y.LAAROUCHI, Y.DESWARTE, D.POWELL, J.ARLAT
TSF
Manifestation avec acte : Doctoral Consortium (DCSOFT 2008) of the 3rd International Conference on Software and Data Technologies (ICSOFT 2008), Porto (Portugal), 5-8 Juillet 2008, 5p. , N° 08290
Diffusable
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