Organisation multi-agent pour la gouvernance de systèmes Machine-to-Machine

http://www.emse.fr/~picard/publications/persson11jfsma.pdfInternational audienceLe paradigme Machine-to-Machine (M2M) implique des appareils (capteurs, effecteurs) interagissant pour fournir des services localisés dans le monde physique. Avec la maturité du M2M, émerge une demande grandissante pour des solutions mutualisées dans lesquelles les applications peuvent partager un ensemble commun d'appareils. Dans ce contexte, le projet SensCity propose une infrastructure pour mettre en oeuvre des applications à l'échelle de la ville, ce qui nécessite de fournir des moyens de gouvernance agile pour prendre en compte l'extensibilité du système (ie. scalability). Nous proposons d'utiliser les technologies multi-agents pour répondre à cette problématique. Selon cette approche, la stratégie de gouvernance est exprimée par une organisation multi-agent à l'aide du framework organisationnel MOISE. Nous illustrons notre proposition par un système de gestion intelligente du strationnement

Multi-agent based governance model for machine-to-machine networks in a smart parking management system

http://www.emse.fr/~picard/publications/bilal12saconet.pdfInternational audienceProposed in this paper is a multi-agent model that defines a set of global functioning rules for a flexible governance, adapted to parking management within a city. This is designed to aid drivers in finding a parking place, which satisfies a group of criteria, predefined in profiles, providing a better parking service to the public. The Multi-Agent model developed is integrated in the platform SensCity, which is dedicated to the development and deployment of Machine-to-Machine (M2M) systems. The city is divided into a number of parking areas that are equipped with sensors and actuators, which are responsible for transferring data from and to the parking places. Therefore, the agents can work to interpret and manipulate the governance principles modeled and implemented by the multi-agent model, independently from drivers and parking spaces. Moreover, this paper proposes an intelligent endto- end management of parking system using the MOISE organization framework

Multi-agent Self-organization and Reorganization to Adapt M2M Infrastructures

International audienceMachine-to-Machine (M2M) systems are based on networks of sensors and actuators immersed in the physical world, like in Smart Cities. To manage such networks, classical so-called vertical approaches (where one stakeholder is involved from services to sensors) are very expensive. Thus, a growing trend emerges for horizontal architectures, where several stakeholders collaborate within the same infrastructure. Moreover, the growing number of connected devices raises the key issue of properly controlling and adapting capabilities so that human intervention is minimized. Based on a Multi-Agent Oriented Programming approach, the Adaptive Governance MAS for M2M systems (AGaMeMnon) system installs such capabilities by combining self-organization and reorganization mechanisms. This will be the focus of this paper. AGaMeMnon has been implemented and linked to the SensCity project middleware and evaluated experimentally by the means of simulations

Long term safety and visibility of a novel liquid fiducial marker foruse in image guided radiotherapy of non-small cell lung cancer

Safety and clinical feasibility of injecting a novel liquid fiducial marker for use in image guided radiotherapy in 15 patients with non-small cell lung cancer are reported. No major safety or toxicity issues were encountered. Markers present at start of radiotherapy remained visible in cone beam computed tomography and fluoroscopy images throughout the treatment course and on computed tomography images during follow-up (0–38 months). Marker volume reduction was seen until 9 months after treatment, after which no further marker breakdown was found. No post-treatment migration or marker related complications were found. Keywords: Liquid fiducial marker, Image-guided radiotherapy, NSCLC, Endoscopic ultrasound, EBU

The Evolution of Primate Short-Term Memory.

Short-term memory is implicated in a range of cognitive abilities and is critical for understanding primate cognitive evolution. To investigate the effects of phylogeny, ecology and sociality on short-term memory, we tested the largest and most diverse primate sample to date (421 non-human primates across 41 species) in an experimental delayed-response task. Our results confirm previous findings that longer delays decrease memory performance across species and taxa. Our analyses demonstrate a considerable contribution of phylogeny over ecological and social factors on the distribution of short-term memory performance in primates; closely related species had more similar short-term memory abilities. Overall, individuals in the branch of Hominoidea performed better compared to Cercopithecoidea, who in turn performed above Platyrrhini and Strepsirrhini. Interdependencies between phylogeny and socioecology of a given species presented an obstacle to disentangling the effects of each of these factors on the evolution of short-term memory capacity. However, this study offers an important step forward in understanding the interspecies and individual variation in short-term memory ability by providing the first phylogenetic reconstruction of this trait’s evolutionary history. The dataset constitutes a unique resource for studying the evolution of primate cognition and the role of short-term memory in other cognitive abilities.info:eu-repo/semantics/publishedVersio

BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains

The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed

The Evolution of Primate Short-Term Memory

Short-term memory is implicated in a range of cognitive abilities and is critical for understanding primate cognitive evolution. To investigate the effects of phylogeny, ecology and sociality on short-term memory, we tested the largest and most diverse primate sample to date (421 non-human primates across 41 species) in an experimental delayed-response task. Our results confirm previous findings that longer delays decrease memory performance across species and taxa. Our analyses demonstrate a considerable contribution of phylogeny over ecological and social factors on the distribution of short-term memory performance in primates; closely related species had more similar short-term memory abilities. Overall, individuals in the branch of Hominoidea performed better compared to Cercopithecoidea, who in turn performed above Platyrrhini and Strepsirrhini. Interdependencies between phylogeny and socioecology of a given species presented an obstacle to disentangling the effects of each of these factors on the evolution of short-term memory capacity. However, this study offers an important step forward in understanding the interspecies and individual variation in short-term memory ability by providing the first phylogenetic reconstruction of this trait’s evolutionary history. The dataset constitutes a unique resource for studying the evolution of primate cognition and the role of short-term memory in other cognitive abilities

Wind power participation in frequency regulation: a profitability assessment for Sweden

In this report, a framework was developed to assess the profits from participating in the different ancillary services for frequency regulation in Sweden. The framework considers forecasting errors on both production and prices, market clearing times and technical requirements of the difference ancillary services. The framework was applied to evaluate potential profits for a real wind power plant of 2 MW in SE3 in 2020 and 2021. The economic analysis points out to aFRR down as the most profitable market today with additional revenue of as much as 35% compared to day-ahead only in case of perfect production forecasts, and as much as 22 % with consideration of standard production forecast errors. It is also shown that developing bidding strategies based on price forecasting to act on several ancillary service market may increase the revenues by up to 70% compared to day-ahead only. Future work in the topic includes evaluating the profits in other price areas and evaluating different production and price forecast methodologies and their impact on the profits

Wind power participation in frequency regulation: a profitability assessment for Sweden

In this report, a framework was developed to assess the profits from participating in the different ancillary services for frequency regulation in Sweden. The framework considers forecasting errors on both production and prices, market clearing times and technical requirements of the difference ancillary services. The framework was applied to evaluate potential profits for a real wind power plant of 2 MW in SE3 in 2020 and 2021. The economic analysis points out to aFRR down as the most profitable market today with additional revenue of as much as 35% compared to day-ahead only in case of perfect production forecasts, and as much as 22 % with consideration of standard production forecast errors. It is also shown that developing bidding strategies based on price forecasting to act on several ancillary service market may increase the revenues by up to 70% compared to day-ahead only. Future work in the topic includes evaluating the profits in other price areas and evaluating different production and price forecast methodologies and their impact on the profits