33 research outputs found

    Une plate-forme pour le test de cartes hybrides

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    National audienceNous prĂ©sentons une mĂ©thode ainsi qu'une architecture et les premiĂšres briques d'une plate-forme pour le test de cartes hybrides. L'accent est mis sur la modĂ©lisation fonctionnelle des cartes et sur les stratĂ©gies de test fonctionnel dĂ©veloppĂ©es pour le test en maintenance. Ces stratĂ©gies s'expriment en termes de contraintes et leur mise en Ɠuvre repose sur la programmation logique par contraintes. Pour finir, nous Ă©voquons une Ă©tude de cas industrielle, puis l'Ă©tat d'avancement actuel de la plate-forme et ses Ă©volutions futures sont discutĂ©es

    Towards a Formal Approach for the Regeneration of PILOT Control System

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    International audiencePILOT (Programming and Interpreted Language Of actions for Telerobotics) is a high level language dedicated to the remote control of systems. Our team has built a complete control system for PILOT, which comprises six main modules: a human−machine interface, an interpreter, a rules generator, an evaluator, an execution module and a communication server. In this paper, we focus on the interpreter which is one of the most important parts of the system. For the initial release of the control system software, the main goal was to have a working environment in order to validate the concepts of the language PILOT. The various modules of the control system have been modeled by finite state automata and the code has been written manually. Although the experimentation carried out with the first release of the control system highlighted the benefits of PILOT for the control of mobile robots such as the robot MARC'H built by our team, some malfunctions were observed in the software and particularly in the interpreter. This paper aims at presenting the work performed, essentially based on testing, in order to detect and to correct software errors into the interpreter, at both conceptual and implementation levels. It ends by our ongoing work related to the use of Petri nets for modeling and testing the interpreter algorithms, the final goal being the generation of safe programs from "validated" models

    Timed Functional Modeling for Mixed-Signal Boards in Maintenance Testing: A Case Study

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    In the context of maintenance testing and diagnosis of faulty boards, a functional FSM (Finite State Machine)- based model for mixed-signal boards has been introduced in a precedent paper. It has been extended for dealing with time sequences aspects. In this paper, the new modeling technique is presented

    Plans simulation using temporal logics

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    Towards a New Modelling of Mixed-Signal Boards For Maintenance Testing

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    International audienceWe are introducing a new method for the test of mixed signal boards. The emphasis is on the functional modelling and test vectors generation. A prototype implementation of the method has been used and validated in an industrial case study

    Maintenance Testing of Mixed-Signal Boards: the FCB case study

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    We present an ongoing work in the domain of mixed-signal board maintenance testing, supported by an industrial case study. We propose a method providing a semi-automation and an help for the board maintenance testing and diagnosis stages. It is validated by the implementation of a prototype tool

    A Solve-RD ClinVar-based reanalysis of 1522 index cases from ERN-ITHACA reveals common pitfalls and misinterpretations in exome sequencing

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    Purpose Within the Solve-RD project (https://solve-rd.eu/), the European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies aimed to investigate whether a reanalysis of exomes from unsolved cases based on ClinVar annotations could establish additional diagnoses. We present the results of the “ClinVar low-hanging fruit” reanalysis, reasons for the failure of previous analyses, and lessons learned. Methods Data from the first 3576 exomes (1522 probands and 2054 relatives) collected from European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies was reanalyzed by the Solve-RD consortium by evaluating for the presence of single-nucleotide variant, and small insertions and deletions already reported as (likely) pathogenic in ClinVar. Variants were filtered according to frequency, genotype, and mode of inheritance and reinterpreted. Results We identified causal variants in 59 cases (3.9%), 50 of them also raised by other approaches and 9 leading to new diagnoses, highlighting interpretation challenges: variants in genes not known to be involved in human disease at the time of the first analysis, misleading genotypes, or variants undetected by local pipelines (variants in off-target regions, low quality filters, low allelic balance, or high frequency). Conclusion The “ClinVar low-hanging fruit” analysis represents an effective, fast, and easy approach to recover causal variants from exome sequencing data, herewith contributing to the reduction of the diagnostic deadlock

    Une plate-forme de test pour les cartes hybrides

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    National audienceNous présentons une méthode ainsi qu'une architecture et les premiÚres briques d'une plate-forme pour le test de cartes hybrides. L'accent est mis sur la modélisation fonctionnelle des cartes et sur les stratégies de test fonctionnel développées pour le test en maintenance. Ces stratégies s'expriment en termes de contraintes et leur mise en oeuvre repose sur la programmation logique par contraintes. Pour finir, l'etat actuel de la plate-forme et ses évolutions futures sont présentées

    Determination of a depth map from an image sequence

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