The Experts below are selected from a list of 42 Experts worldwide ranked by ideXlab platform
Catherine Roussey - One of the best experts on this subject based on the ideXlab platform.
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Antipattern detection: How to debug an ontology without a reasoner
2013Co-Authors: Catherine Roussey, A. ZamazalAbstract:In ontology design, an Ontology Design Pattern (ODP) is a modeling solution to a recurrent ontology design problems. As opposed to ODP, antipatterns are bad modeling practices. This paper deals with detection of antipattern for Debugging Purpose of huge ontologies. We focus on the detection of the Onlyness Is Loneliness (OIL) antipattern. We propose an antipattern detection method based on ontology transformations and SPARQL queries. This approach does not need reasoner to detect antipattern. Our method detects candidates of OIL antipattern. These candidates localize class definitions where OIL occurrences can appear. This enables to draw ontology developer's attention to avoid errors during ontology development process. We conduct some experiments to detect OIL antipattern in an OWL ontology corpus obtained from the Watson ontology search engine.
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WoDOOM - Antipattern detection: How to debug an ontology without a reasoner
2013Co-Authors: Catherine Roussey, Ondrej ZamazalAbstract:In ontology design, an Ontology Design Pattern (ODP) is a modeling solution to a recurrent ontology design problems. As opposed to ODP, antipatterns are bad modeling practices. This paper deals with detection of antipattern for Debugging Purpose of huge ontologies. We focus on the detection of the Onlyness Is Loneliness (OIL) antipattern. We propose an antipattern detection method based on ontology transfor- mations and SPARQL queries. This approach does not need reasoner to detect antipattern. Our method detects candidates of OIL antipattern. These candidates localize class denitions where OIL occurrences can ap- pear. This enables to draw ontology developer's attention to avoid errors during ontology development process. We conduct some experiments to detect OIL antipattern in an OWL ontology corpus obtained from the Watson ontology search engine.
Gilles Jacquemod - One of the best experts on this subject based on the ideXlab platform.
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ICECS - Near field measurement bench and on-chip sensor for FTB stress propagation analysis
2018 25th IEEE International Conference on Electronics Circuits and Systems (ICECS), 2018Co-Authors: Yann Bacher, L. Quazzo, Nicolas Froidevaux, Henri Braquet, Gilles JacquemodAbstract:EMS (Electro-Magnetic Susceptibility) tests are performed on an integrated circuit in order to verify that it is not disturbed by other entities. This paper is focused on FTB tests, which are inspired from the IEC 61000-4-4 standard. Because PDN was identified to be the main contributor in the FTB sensitivity, to measure and analysis its behavior could be a huge help for Debugging Purpose. Unfortunately during an FTB injection, no measurement is possible due to the amplitude of the stress. In order to overcome this problem, novel measurement methods have been developed: near field measurement for local resonance analysis method and on-chip sensor.
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Novel Measurement Set-Ups of FTB Stress Propagation in an IC
2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama), 2018Co-Authors: Yann Bacher, L. Quazzo, Nicolas Froidevaux, Henri Braquet, Gilles JacquemodAbstract:EMC tests are performed on an integrated circuit in order to verify that it is not disturbed or does not disturb other entities. This paper is focused on FTB tests, which are inspired from the IEC 61000-4-4 standard, but applied on IC (i.e., MCU). Collecting information on the power network frequency response could be a huge help for Debugging Purpose. Indeed, the PDN was identified to be the main contributor in the FTB test results. Unfortunately during an FTB stress, no measurement is possible due to electromagnetic disturbance. Indeed, coupling on probe cable disturbs measurements when performed during the stress. In order to overcome this problem, two novel measurement methods have been developed: Global resonance analysis method and Local resonance analysis method. Finally, some solutions to increase the FTB robustness of the MCU are proposed and validated.
Ondrej Zamazal - One of the best experts on this subject based on the ideXlab platform.
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WoDOOM - Antipattern detection: How to debug an ontology without a reasoner
2013Co-Authors: Catherine Roussey, Ondrej ZamazalAbstract:In ontology design, an Ontology Design Pattern (ODP) is a modeling solution to a recurrent ontology design problems. As opposed to ODP, antipatterns are bad modeling practices. This paper deals with detection of antipattern for Debugging Purpose of huge ontologies. We focus on the detection of the Onlyness Is Loneliness (OIL) antipattern. We propose an antipattern detection method based on ontology transfor- mations and SPARQL queries. This approach does not need reasoner to detect antipattern. Our method detects candidates of OIL antipattern. These candidates localize class denitions where OIL occurrences can ap- pear. This enables to draw ontology developer's attention to avoid errors during ontology development process. We conduct some experiments to detect OIL antipattern in an OWL ontology corpus obtained from the Watson ontology search engine.
A. Zamazal - One of the best experts on this subject based on the ideXlab platform.
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Antipattern detection: How to debug an ontology without a reasoner
2013Co-Authors: Catherine Roussey, A. ZamazalAbstract:In ontology design, an Ontology Design Pattern (ODP) is a modeling solution to a recurrent ontology design problems. As opposed to ODP, antipatterns are bad modeling practices. This paper deals with detection of antipattern for Debugging Purpose of huge ontologies. We focus on the detection of the Onlyness Is Loneliness (OIL) antipattern. We propose an antipattern detection method based on ontology transformations and SPARQL queries. This approach does not need reasoner to detect antipattern. Our method detects candidates of OIL antipattern. These candidates localize class definitions where OIL occurrences can appear. This enables to draw ontology developer's attention to avoid errors during ontology development process. We conduct some experiments to detect OIL antipattern in an OWL ontology corpus obtained from the Watson ontology search engine.
Doug Edwards - One of the best experts on this subject based on the ideXlab platform.
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ARC - Integrated design environment for reconfigurable HPC
Lecture Notes in Computer Science, 2010Co-Authors: Lilian Janin, Doug EdwardsAbstract:Using FPGAs to accelerate High Performance Computing (HPC) applications is attractive, but has a huge associated cost: the time spent, not for developing efficient FPGA code but for handling interfaces between CPUs and FPGAs. The usual difficulties are the discovery of interface libraries and tools, and the selection of methods to debug and optimize the communications. Our GALS (Globally Asynchronous Locally Synchronous) system design framework, which was originally designed for embedded systems, happens to be outstanding for programming and Debugging HPC systems with reconfigurable FPGAs. Its co-simulation capabilities and the automatic re-generation of interfaces allow an incremental design strategy in which the HPC programmer co-designs both software and hardware on the host. It then provides the flexibility to move components from software abstraction to Verilog/VHDL simulator, and eventually to FPGA targets with automatic generation of asynchronous interfaces. The whole design including the generated interfaces is visible in a graphical view with real-time representation of simulation events for Debugging Purpose.
