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Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL Cybernetix case study for AMETIST project.

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Presentation on theme: "Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL Cybernetix case study for AMETIST project."— Presentation transcript:

1 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL Cybernetix case study for AMETIST project

2 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 2 Outline Informal description UPPAAL model General description of model Comparison with SMV model Model Demo Tested configurations Results List of experiments Result of experiments Plans Conclusions

3 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 3 Informal description CYBERNETIX Case Study, Informal description Sarah ALBERT, Cybernetix Recherche Smart Card Personalisation Machine in SMV, AMETIST: Cybernetix Case Study Biniam GEBREMICHAEL, Frits VAANDRAGER, University of Nijmegen Smart Card Personalisation Machine Smart card personalisation machine takes a pile of the blank smart cards as a raw material, programs them with the personalised data, prints them and tests them. Objectives Synthesis of correct and optimal schedules Model&tool for Cybernetix

4 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 4 UPPAAL model Simplified configuration Conveyor Unloader/Loader Personalisation stations Several versions Chronological ordering by unloader Chronological ordering by personalisation stations Configurable parameters conveyor length number and positions of personalisation stations temporal aspects: personalisation time, conveyor speed, unload/load time Standard UPPAAL (timed automata with extensions)

5 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 5 Comparison with SMV model Smart Card Personalisation Machine in SMV, AMETIST: Cybernetix Case Study Biniam GEBREMICHAEL, Frits VAANDRAGER, University of Nijmegen Both models are very abstract models Differences SMV modelUPPAAL model Conveyor moves all the timeConveyor can stop Chronological ordering is done by personalisation stations Chronological ordering is done by loader personalisation stations No unloading/loading timeUnloading/loading time

6 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 6 Conveyor: belt and conveyor movement int[0,2*CARDS] c[CELLS] - the conveyor belt, where CELLS is the length of the conveyor belt, (0..CELLS-1) CARDS – the number of the cards in the batch (1..CARDS – unpersonalised cards, CARDS+1..2*CARDS – personalised)

7 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 7 Unloader: unloads the cards on the conveyor one by one

8 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 8 Loader: removes the cards from the conveyor one by one

9 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 9 Personalisation station

10 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 10 Demonstration on UPPAAL

11 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 11 Tested configurations Chronological ordering by unloader by personalisation stations Number of personalisation stations and cards in the batch 2 personalisation stations, 2..8 cards 3 personalisation stations, 2..6 cards 4 personalisation stations, 2..5 cards Timing information personalisation time = 10 time units unloading/loading time = 2 time units one conveyor step = 1 time unit

12 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 12 Results: Experiments list Cards Stations (4 cells) (5 cells) (6 cells) personalisation = 10, unloading/loading = 2 time units, conveyor step = 1

13 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 13 Results: 2 stations, 6 cards and 3 stations, 5 cards Step Station Step Station \14\4\4 23\2\5\5 32\3\35

14 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 14 Results: 4 stations 4 cards and 5 cards Step Station Step Station

15 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 15 Interpretation of results Unloading/loading stations are bottlenecks – the cards should be spread to get better results If unloading/loading is instant, the super single mode and the batches algorithms are both optimal Several schedules can be optimal; to find the scheduling algorithm it would be useful to have tools, which allow to get all optimal traces

16 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 16 Plans Models with more stations and more cards, several batches of cards Models with bi-directional conveyor Models with Graphical personalisation stations Testing & reject stations Flip over stations Specialised versions of UPPAAL Other tools

17 Tomas Krilavičius & Yaroslav Usenko Smart Card Personalisation Machine in UPPAAL 17 Conclusions: early stage Smart card personalisation machine Different abstractions of the system can be made A fixed benchmark configuration is desirable to compare the results More information about the system would be useful UPPAAL It is possible to model the system in UPPAAL For small numbers of stations and cards it is possible to find optimal schedules automatically For automatic analysis of larger systems additional features could be useful diagnostic information (number of states, precise run-time information) batch mode access to the underlying transition system guided search question: is UPPAAL a right tool to model such systems (discrete time systems, deterministic systems)

18 Tomas Krilavičius & Yaroslav Usenko Thats all...


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