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description Publicationkeyboard_double_arrow_right Conference object 2017 FrancePublisher:IEEE Publicly fundedFunded by:FCT | D4, EC | SEMDATA, EC | UCNFCT| D4 ,EC| SEMDATA ,EC| UCNAuthors: Poghosyan, Gevorg; Pefkianakis, Ioannis; Le Guyadec, Pascal; Christophides, Vassilis;Poghosyan, Gevorg; Pefkianakis, Ioannis; Le Guyadec, Pascal; Christophides, Vassilis;International audience; Ubiquitous connectivity and smart technologies gradually transform homes into Intranet of Things, where a multitude of connected, intelligent devices allow for novel home automation services. Providing new services for home users (e.g., energy saving automations) and Internet Service Providers (e.g., network management and troubleshooting) requires an in-depth analysis of various kinds of data (connectivity, performance, usage) collected from home networks. In this paper, we explore new Machine-to-Machine data analysis techniques that go beyond binary association rule mining for traditional market basket analysis considered by previous studies, to analyze individual device logs of home gateways. We introduce a multidimensional patterns mining framework, to extract complex device co-usage patterns of 201 residential broadband users of an ISP, subscribed to a triple-play service. Our results show that our analytics engine provides valuable insights for emerging use cases such as monitoring for energy efficiency, and “things” recommendation.
https://hal.inria.fr... arrow_drop_down Hal-DiderotConference object . 2017Full-Text: https://hal.inria.fr/hal-01664015/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iscc.2017.8024707&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert https://hal.inria.fr... arrow_drop_down Hal-DiderotConference object . 2017Full-Text: https://hal.inria.fr/hal-01664015/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iscc.2017.8024707&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2016 FrancePublisher:Wiley Funded by:ANR | PHENOME, EC | DROPS, FCT | LA 20 +1 projectsANR| PHENOME ,EC| DROPS ,FCT| LA 20 ,EC| EPPN2020Llorenç Cabrera-Bosquet; Christian Fournier; Nicolas Brichet; Claude Welcker; Benoit Suard; François Tardieu;doi: 10.1111/nph.14027
pmid: 27258481
Summary Light interception and radiation‐use efficiency (RUE) are essential components of plant performance. Their genetic dissections require novel high‐throughput phenotyping methods. We have developed a suite of methods to evaluate the spatial distribution of incident light, as experienced by hundreds of plants in a glasshouse, by simulating sunbeam trajectories through glasshouse structures every day of the year; the amount of light intercepted by maize (Zea mays) plants via a functional–structural model using three‐dimensional (3D) reconstructions of each plant placed in a virtual scene reproducing the canopy in the glasshouse; and RUE, as the ratio of plant biomass to intercepted light. The spatial variation of direct and diffuse incident light in the glasshouse (up to 24%) was correctly predicted at the single‐plant scale. Light interception largely varied between maize lines that differed in leaf angles (nearly stable between experiments) and area (highly variable between experiments). Estimated RUEs varied between maize lines, but were similar in two experiments with contrasting incident light. They closely correlated with measured gas exchanges. The methods proposed here identified reproducible traits that might be used in further field studies, thereby opening up the way for large‐scale genetic analyses of the components of plant performance.
New Phytologist arrow_drop_down New PhytologistOther literature type . Article . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementHAL Descartes; INRIA a CCSD electronic archive server; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2016License: CC BYFull-Text: https://hal.science/hal-01576907/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.14027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 159 citations 159 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert New Phytologist arrow_drop_down New PhytologistOther literature type . Article . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementHAL Descartes; INRIA a CCSD electronic archive server; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2016License: CC BYFull-Text: https://hal.science/hal-01576907/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.14027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2016 FrancePublisher:Frontiers Media SA Funded by:FCT | D4, EC | EXPLORERSFCT| D4 ,EC| EXPLORERSFabien eBenureau; Fabien eBenureau; Fabien eBenureau; Pierre-Yves eOudeyer; Pierre-Yves eOudeyer;International audience; The production of behavioral diversity – producing a diversity of effects – is an essential strategy for robots exploring the world when facing situations where interaction possibilities are unknown or non-obvious. It allows to discover new aspects of the environment that cannot be inferred or deduced from available knowledge. However, creating behavioral diversity in situations where it is most crucial – new and unknown ones – is far from trivial. In particular in large and redundant sensorimotor spaces, only small areas are interesting to explore for any practical purpose. When the environment does not provide clues or gradient toward those areas, trying to discover those areas relies on chance. To address this problem, we introduce a method to create behavioral diversity in a new sensorimotor task by re-enacting actions that allowed to produce behavioral diversity in a previous task, along with a measure that quantifies this diversity. We show that our method can learn how to interact with an object by reusing experience from another, that it adapts to instances of morphological changes and of dissimilarity between tasks, and how scaffolding behaviors can emerge by simply switching the attention of the robot to different parts of the environment. Finally, we show that the method can robustly use simulated experiences and crude cognitive models to generate behavioral diversity in real robots.
Frontiers in Robotic... arrow_drop_down Hal-DiderotArticle . 2016License: CC BYFull-Text: https://hal.inria.fr/hal-01404329/documentData sources: Hal-DiderotHAL Descartes; INRIA a CCSD electronic archive server; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2016License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/frobt.2016.00008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Frontiers in Robotic... arrow_drop_down Hal-DiderotArticle . 2016License: CC BYFull-Text: https://hal.inria.fr/hal-01404329/documentData sources: Hal-DiderotHAL Descartes; INRIA a CCSD electronic archive server; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2016License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/frobt.2016.00008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
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description Publicationkeyboard_double_arrow_right Conference object 2017 FrancePublisher:IEEE Publicly fundedFunded by:FCT | D4, EC | SEMDATA, EC | UCNFCT| D4 ,EC| SEMDATA ,EC| UCNAuthors: Poghosyan, Gevorg; Pefkianakis, Ioannis; Le Guyadec, Pascal; Christophides, Vassilis;Poghosyan, Gevorg; Pefkianakis, Ioannis; Le Guyadec, Pascal; Christophides, Vassilis;International audience; Ubiquitous connectivity and smart technologies gradually transform homes into Intranet of Things, where a multitude of connected, intelligent devices allow for novel home automation services. Providing new services for home users (e.g., energy saving automations) and Internet Service Providers (e.g., network management and troubleshooting) requires an in-depth analysis of various kinds of data (connectivity, performance, usage) collected from home networks. In this paper, we explore new Machine-to-Machine data analysis techniques that go beyond binary association rule mining for traditional market basket analysis considered by previous studies, to analyze individual device logs of home gateways. We introduce a multidimensional patterns mining framework, to extract complex device co-usage patterns of 201 residential broadband users of an ISP, subscribed to a triple-play service. Our results show that our analytics engine provides valuable insights for emerging use cases such as monitoring for energy efficiency, and “things” recommendation.
https://hal.inria.fr... arrow_drop_down Hal-DiderotConference object . 2017Full-Text: https://hal.inria.fr/hal-01664015/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iscc.2017.8024707&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert https://hal.inria.fr... arrow_drop_down Hal-DiderotConference object . 2017Full-Text: https://hal.inria.fr/hal-01664015/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iscc.2017.8024707&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2016 FrancePublisher:Wiley Funded by:ANR | PHENOME, EC | DROPS, FCT | LA 20 +1 projectsANR| PHENOME ,EC| DROPS ,FCT| LA 20 ,EC| EPPN2020Llorenç Cabrera-Bosquet; Christian Fournier; Nicolas Brichet; Claude Welcker; Benoit Suard; François Tardieu;doi: 10.1111/nph.14027
pmid: 27258481
Summary Light interception and radiation‐use efficiency (RUE) are essential components of plant performance. Their genetic dissections require novel high‐throughput phenotyping methods. We have developed a suite of methods to evaluate the spatial distribution of incident light, as experienced by hundreds of plants in a glasshouse, by simulating sunbeam trajectories through glasshouse structures every day of the year; the amount of light intercepted by maize (Zea mays) plants via a functional–structural model using three‐dimensional (3D) reconstructions of each plant placed in a virtual scene reproducing the canopy in the glasshouse; and RUE, as the ratio of plant biomass to intercepted light. The spatial variation of direct and diffuse incident light in the glasshouse (up to 24%) was correctly predicted at the single‐plant scale. Light interception largely varied between maize lines that differed in leaf angles (nearly stable between experiments) and area (highly variable between experiments). Estimated RUEs varied between maize lines, but were similar in two experiments with contrasting incident light. They closely correlated with measured gas exchanges. The methods proposed here identified reproducible traits that might be used in further field studies, thereby opening up the way for large‐scale genetic analyses of the components of plant performance.
New Phytologist arrow_drop_down New PhytologistOther literature type . Article . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementHAL Descartes; INRIA a CCSD electronic archive server; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2016License: CC BYFull-Text: https://hal.science/hal-01576907/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.14027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 159 citations 159 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert New Phytologist arrow_drop_down New PhytologistOther literature type . Article . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementHAL Descartes; INRIA a CCSD electronic archive server; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2016License: CC BYFull-Text: https://hal.science/hal-01576907/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/nph.14027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2016 FrancePublisher:Frontiers Media SA Funded by:FCT | D4, EC | EXPLORERSFCT| D4 ,EC| EXPLORERSFabien eBenureau; Fabien eBenureau; Fabien eBenureau; Pierre-Yves eOudeyer; Pierre-Yves eOudeyer;International audience; The production of behavioral diversity – producing a diversity of effects – is an essential strategy for robots exploring the world when facing situations where interaction possibilities are unknown or non-obvious. It allows to discover new aspects of the environment that cannot be inferred or deduced from available knowledge. However, creating behavioral diversity in situations where it is most crucial – new and unknown ones – is far from trivial. In particular in large and redundant sensorimotor spaces, only small areas are interesting to explore for any practical purpose. When the environment does not provide clues or gradient toward those areas, trying to discover those areas relies on chance. To address this problem, we introduce a method to create behavioral diversity in a new sensorimotor task by re-enacting actions that allowed to produce behavioral diversity in a previous task, along with a measure that quantifies this diversity. We show that our method can learn how to interact with an object by reusing experience from another, that it adapts to instances of morphological changes and of dissimilarity between tasks, and how scaffolding behaviors can emerge by simply switching the attention of the robot to different parts of the environment. Finally, we show that the method can robustly use simulated experiences and crude cognitive models to generate behavioral diversity in real robots.
Frontiers in Robotic... arrow_drop_down Hal-DiderotArticle . 2016License: CC BYFull-Text: https://hal.inria.fr/hal-01404329/documentData sources: Hal-DiderotHAL Descartes; INRIA a CCSD electronic archive server; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2016License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/frobt.2016.00008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Frontiers in Robotic... arrow_drop_down Hal-DiderotArticle . 2016License: CC BYFull-Text: https://hal.inria.fr/hal-01404329/documentData sources: Hal-DiderotHAL Descartes; INRIA a CCSD electronic archive server; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2016License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/frobt.2016.00008&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu