20 results on '"multi-agent platform"'
Search Results
2. An Autonomous Robotic Platform for Manipulation and Inspection of Metallic Surfaces in Industry 4.0.
- Author
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Czimmermann, Tamas, Chiurazzi, Marcello, Milazzo, Mario, Roccella, Stefano, Barbieri, Marco, Dario, Paolo, Oddo, Calogero Maria, and Ciuti, Gastone
- Subjects
- *
INDUSTRY 4.0 , *METALLIC surfaces , *ROBOTICS , *MANUFACTURING processes , *OPTICAL scanners , *MANUFACTURING defects , *QUALITY control , *LASER beam cutting - Abstract
Quality control in industry involves trained operators to manipulate and inspect metallic surfaces in order to identify, and eventually correct, manufacturing defects. These tasks are manually performed, and a poor performance (e.g., missing defects) leads to an increase of the costs and prolongation of the manufacturing time cycle. In this work, we propose a multi-agent robotic platform to autonomously perform Industry 4.0 quality control processes of metallic surfaces. The platform consists of three anthropomorphic robots with custom-made end-effectors designed to manipulate, inspect, and eventually correct a metallic frame of a motorcycle. The description of a novel multi-agent platform is followed by the presentation of the developed inspection procedure, in which a linear laser scanner is used to reconstruct the three-dimensional metallic surface of a motorcycle with a resolution of ~0.1 mm. In order to validate the platform, we perform a set of experiments to assess the performance of the robotic platform in a real Industry 4.0 scenario. Results confirmed that such a system guarantees a sub-millimetric precision to identify defects on complex-shaped metallic surfaces and effectively correct them. The proposed robotic platform can be adopted for overcoming the drawbacks of a traditional procedure that relies on visual-tactile manual defects correction (e.g., low-repeatability, high-subjectivity) and is scalable to different industrial applications. The proposed approach aims to elevate the role of operators to expert supervisors of the process, limiting the interactions with potentially-dangerous tools/procedures and thus improving the working conditions in an industrial 4.0 scenario. Note to Practitioners—This work was motivated by a crucial need in industry, i.e. to automatize the manufacturing quality control, translating the commonly-used visual-based manual approach performed by operators to an objective robotic one that relies on defect detection by using a linear laser scanner. A novel multi-agent robotic platform, developed by the authors, showed its effectiveness in automatizing complex tasks, in which huge workspace and different tools are required. The aim of the paper was to develop a fully automatized application that covers the entire quality control process, while focusing on one specific phase, i.e. automatic inspection. The integrated software and the infrastructural communication protocols of the entire robotic platform were designed to be flexible in order to realize a new reference for industrial applications, where a multi-agent approach is demanded. The experimental validation focused on a specific use case (a motorcycle frame selected due to its complex structure, i.e. multiple curvatures with variable radii, and large volumes), but the proposed platform and the implemented methodology have to be intended as a general purpose approach, adaptable to any industrial process and mechanical component. The authors, starting by a laboratory development with extensive tests, applied and demonstrated the feasibility of the proposed approach in a real Industry 4.0 scenario. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
3. Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform
- Author
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Veloso, Bruno, Malheiro, Benedita, Burguillo, Juan Carlos, Gama, João, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Demazeau, Yves, editor, Holvoet, Tom, editor, Corchado, Juan M., editor, and Costantini, Stefania, editor
- Published
- 2020
- Full Text
- View/download PDF
4. Intelligent Multi-agent Platform for Designing Digital Ecosystems
- Author
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Rzevski, George, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mařík, Vladimír, editor, Kadera, Petr, editor, Rzevski, George, editor, Zoitl, Alois, editor, Anderst-Kotsis, Gabriele, editor, Tjoa, A Min, editor, and Khalil, Ismail, editor
- Published
- 2019
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5. Smart Farming – Open Multi-agent Platform and Eco-System of Smart Services for Precision Farming
- Author
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Skobelev, Petr, Larukchin, Vladimir, Mayorov, Igor, Simonova, Elena, Yalovenko, Olga, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Demazeau, Yves, editor, Matson, Eric, editor, Corchado, Juan Manuel, editor, and De la Prieta, Fernando, editor
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- 2019
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6. HADES: A Multi-Agent Platform to Reduce Congestion Anchoring Based on Temporal Coordination of Vessel Arrivals—Application to the Multi-Client Liquid Bulk Terminal in the Port of Cartagena (Spain).
- Author
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Jiménez, Pilar, Gómez-Fuster, José María, Pavón-Mariño, Pablo, and Carpanzano, Emanuele
- Subjects
MARINE terminals ,PORT districts ,LIQUIDS ,HARBORS ,SOFTWARE development tools ,INFORMATION sharing - Abstract
Featured Application: HADES, a software tool for the optimal operation of liquid bulk terminal management, is based on an optimization model for the allocation of liquid bulk berths to reduce congestion and vessel waiting time. By means of a user-friendly interface, all the agents involved in the process share the data relevant to optimal quay management, supervised by port authorities. Ports are key factors in international trade, and new port terminals are quite costly and time consuming to build. Therefore, it is necessary to optimize existing infrastructure to achieve sustainability in logistics. This problem is more complex in multi-client port terminals, where quay infrastructure is shared among terminal operators who often have conflicting interests. Moreover, the berth allocation problem in liquid bulk terminals implies demanding restrictions due to the reduced flexibility in berth allocation for these types of goods. In this context, this paper presents HADES, a multi-agent platform, and the experience of its pilot use in the Port of Cartagena. HADES is a software platform where agents involved in vessel arrivals share meaningful but limited information. This is done to alleviate potential congestion in multi-client liquid bulk terminals, promoting a consensus where overall congestion anchoring is reduced. A study is presented using a mixed integer linear program (MILP) optimization model to analyze the maximum theoretical reduction in congestion anchoring, depending on the flexibility of vessel arrival time changes. Results show that 6 h of flexibility is enough to reduce congestion anchoring by half, and 24 h reduces it to negligible values. This confirms the utility of HADES, which is also briefly described. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
7. Mejora del modelo social en una plataforma multiagente que se ejecutan en una supercomputadora
- Abstract
El modelado basado en agentes (ABM) es una de las formas más adecuadas para simular y analizar problemas y simulaciones complejas, como la simulación de entornos y escenarios sociales. El tipo de plataforma que se utiliza con mayor frecuencia en estas iniciativas es la de un sistema multiagente. Los sistemas multiagente están compuestos por varios actores (agentes) en un entorno de simulación concreto, cada uno de ellos tiene un conocimiento individual y un comportamiento individual. Una de las aplicaciones de estos sistemas es analizar el comportamiento colectivo emergente en contextos como la sociología, la economía, la formulación de políticas, etc. escalabilidad En trabajo realizado en la UPC en Abril de 2019, se propuso, teorizó e implementó una plataforma que permite a los agentes complejos con planificación HTN escalar y ejecutarse en paralelo. Seguidamente en Junio de 2022 se amplió dicha plataforma para permitir un mejor análisis de las relaciones sociales entre los agentes a través de las preferencias sobre sus objetivos, preferencias sobre sus planes, acciones y valores morales, al mismo tiempo que se aseguraba que las adiciones fueran escalables. En este trabajo, partimos del trabajo previo realizado por David Marin sobre la ampliación de dicha plataforma, y ¿¿lo ampliamos, tanto de manera formal como a nivel de funcionalidades y eficiencia. Formalizamos las adiciones al modelo del sistema, así como sus modificaciones, y lo mismo hacemos para la implementación. Al final, proporcionamos un escenario de ejemplo complejo para mostrar todas las adiciones que hemos creado., Agent-based modeling (ABM) is one of the most suitable ways to simulate and analyze complex problems and simulations, such as the simulation of social environments and scenarios. The type of platform most frequently used in these initiatives is that of a multi-agent system. Multi-agent systems are composed of several actors (agents) in a particular simulation environment, each having individual knowledge and individual behavior. One of the applications of these systems is to analyze emergent collective behavior in contexts such as sociology, economics, policy formulation, etc. scalability In work done at UPC in April 2019, a platform was proposed, theorized and implemented that allows complex agents with HTN planning to scale and run in parallel. We then extended that platform in June 2022 to enable better analysis of social relationships between agents through preferences over their goals, preferences over their plans, actions, and moral values, while ensuring that additions are scalable. In this paper, we build on previous work done by David Marin on the extension of such a platform, and extend it, both formally and in terms of functionalities and efficiency. We formalize the additions to the system model, as well as its modifications, and do the same for the implementation. At the end, we provide a complex example scenario to show all the additions we have created.
- Published
- 2023
8. Mejora del modelo social en una plataforma multiagente que se ejecutan en una supercomputadora
- Author
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Balcells Valdivia, Moisés, Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Vázquez Salceda, Javier, and Álvarez Napagao, Sergio
- Subjects
goal-oriented agent ,BDI system ,Agent-based simulation ,simulation of social aspects ,Informàtica::Enginyeria del software [Àrees temàtiques de la UPC] ,plataforma multi-agent ,high performance computing ,multi-agent platform ,Simulació basada en agents ,COMPSS ,simulació d'aspectes socials ,agent orientat a objectius ,PyCOMPSS ,Multiagent systems ,sistema BDI ,computació d'alt rendiment ,agent platform ,Sistemes multiagent ,plataforma d'agents ,High performance computing ,Càlcul intensiu (Informàtica) - Abstract
El modelado basado en agentes (ABM) es una de las formas más adecuadas para simular y analizar problemas y simulaciones complejas, como la simulación de entornos y escenarios sociales. El tipo de plataforma que se utiliza con mayor frecuencia en estas iniciativas es la de un sistema multiagente. Los sistemas multiagente están compuestos por varios actores (agentes) en un entorno de simulación concreto, cada uno de ellos tiene un conocimiento individual y un comportamiento individual. Una de las aplicaciones de estos sistemas es analizar el comportamiento colectivo emergente en contextos como la sociología, la economía, la formulación de políticas, etc. escalabilidad En trabajo realizado en la UPC en Abril de 2019, se propuso, teorizó e implementó una plataforma que permite a los agentes complejos con planificación HTN escalar y ejecutarse en paralelo. Seguidamente en Junio de 2022 se amplió dicha plataforma para permitir un mejor análisis de las relaciones sociales entre los agentes a través de las preferencias sobre sus objetivos, preferencias sobre sus planes, acciones y valores morales, al mismo tiempo que se aseguraba que las adiciones fueran escalables. En este trabajo, partimos del trabajo previo realizado por David Marin sobre la ampliación de dicha plataforma, y ¿¿lo ampliamos, tanto de manera formal como a nivel de funcionalidades y eficiencia. Formalizamos las adiciones al modelo del sistema, así como sus modificaciones, y lo mismo hacemos para la implementación. Al final, proporcionamos un escenario de ejemplo complejo para mostrar todas las adiciones que hemos creado. Agent-based modeling (ABM) is one of the most suitable ways to simulate and analyze complex problems and simulations, such as the simulation of social environments and scenarios. The type of platform most frequently used in these initiatives is that of a multi-agent system. Multi-agent systems are composed of several actors (agents) in a particular simulation environment, each having individual knowledge and individual behavior. One of the applications of these systems is to analyze emergent collective behavior in contexts such as sociology, economics, policy formulation, etc. scalability In work done at UPC in April 2019, a platform was proposed, theorized and implemented that allows complex agents with HTN planning to scale and run in parallel. We then extended that platform in June 2022 to enable better analysis of social relationships between agents through preferences over their goals, preferences over their plans, actions, and moral values, while ensuring that additions are scalable. In this paper, we build on previous work done by David Marin on the extension of such a platform, and extend it, both formally and in terms of functionalities and efficiency. We formalize the additions to the system model, as well as its modifications, and do the same for the implementation. At the end, we provide a complex example scenario to show all the additions we have created.
- Published
- 2023
9. Design and Simulation of a Low-Resource Processing Platform for Mobile Multi-agent Systems in Distributed Heterogeneous Networks
- Author
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Bosse, Stefan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Duval, Béatrice, editor, van den Herik, Jaap, editor, Loiseau, Stephane, editor, and Filipe, Joaquim, editor
- Published
- 2015
- Full Text
- View/download PDF
10. HADES: A Multi-Agent Platform to Reduce Congestion Anchoring Based on Temporal Coordination of Vessel Arrivals—Application to the Multi-Client Liquid Bulk Terminal in the Port of Cartagena (Spain)
- Author
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Pilar Jiménez, José María Gómez-Fuster, and Pablo Pavón-Mariño
- Subjects
multi-agent platform ,multi-client terminal ,port management ,congestion anchoring ,liquid bulk terminal ,berth allocation problem ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Ports are key factors in international trade, and new port terminals are quite costly and time consuming to build. Therefore, it is necessary to optimize existing infrastructure to achieve sustainability in logistics. This problem is more complex in multi-client port terminals, where quay infrastructure is shared among terminal operators who often have conflicting interests. Moreover, the berth allocation problem in liquid bulk terminals implies demanding restrictions due to the reduced flexibility in berth allocation for these types of goods. In this context, this paper presents HADES, a multi-agent platform, and the experience of its pilot use in the Port of Cartagena. HADES is a software platform where agents involved in vessel arrivals share meaningful but limited information. This is done to alleviate potential congestion in multi-client liquid bulk terminals, promoting a consensus where overall congestion anchoring is reduced. A study is presented using a mixed integer linear program (MILP) optimization model to analyze the maximum theoretical reduction in congestion anchoring, depending on the flexibility of vessel arrival time changes. Results show that 6 h of flexibility is enough to reduce congestion anchoring by half, and 24 h reduces it to negligible values. This confirms the utility of HADES, which is also briefly described.
- Published
- 2021
- Full Text
- View/download PDF
11. UMAP - A Universal Multi-Agent Platform for .NET Developers
- Author
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Mrozek, Dariusz, Małysiak-Mrozek, Bożena, Waligóra, Igor, Kozielski, Stanislaw, editor, Mrozek, Dariusz, editor, Kasprowski, Pawel, editor, Małysiak-Mrozek, Bożena, editor, and Kostrzewa, Daniel, editor
- Published
- 2014
- Full Text
- View/download PDF
12. The Evolution of MAS Tools
- Author
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Sturm, Arnon, Shehory, Onn, Shehory, Onn, editor, and Sturm, Arnon, editor
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- 2014
- Full Text
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13. TSLAM: A Trust-enabled Self-Learning Agent Model for Service Matching in the Cloud Market.
- Author
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WENJUAN LI, JIAN CAO, SHIYOU QIAN, and BUYYA, RAJKUMAR
- Subjects
SERVICE level agreements ,MARKETING models ,LEARNING modules ,CLOUD computing - Abstract
With the rapid development of cloud computing, various types of cloud services are available in the marketplace. However, it remains a significant challenge for cloud users to find suitable services for two major reasons: (1) Providers are unable to offer services in complete accordance with their declared Service Level Agreements, and (2) it is difficult for customers to describe their requirements accurately. To help users select cloud services efficiently, this article presents a Trust enabled Self-Learning Agent Model for service Matching (TSLAM). TSLAM is a multi-agent-based three-layered cloud service market model, in which different categories of agents represent the corresponding cloud entities to perform market behaviors. The unique feature of brokers is that they are not only the service recommenders but also the participants of market competition. We equip brokers with a learning module enabling them to capture implicit service demands and find user preferences. Moreover, a distributed and lightweight trust model is designed to help cloud entities make service decisions. Extensive experiments prove that TSLAM is able to optimize the cloud service matching process and compared to the state-of-the-art studies, TSLAM improves user satisfaction and the transaction success rate by at least 10%. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
14. A New Organisational Framework for Network Modelling Using a Multi-Agent System
- Author
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Lemercier, Marc, Gaïti, Dominique, Martikainen, Olli, editor, Raatikainen, Kimmo, editor, and Hyvärinen, Jenni, editor
- Published
- 2002
- Full Text
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15. HADES: A Multi-Agent Platform to Reduce Congestion Anchoring Based on Temporal Coordination of Vessel Arrivals—Application to the Multi-Client Liquid Bulk Terminal in the Port of Cartagena (Spain)
- Author
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Pablo Pavon-Marino, Pilar Jiménez, José María Gómez-Fuster, and Autoridad Portuaria de Cartagena
- Subjects
Linear programming ,Computer science ,0211 other engineering and technologies ,Anchoring ,Congestion anchoring ,Context (language use) ,02 engineering and technology ,lcsh:Technology ,multi-client terminal ,Multi-client terminal ,Reduction (complexity) ,lcsh:Chemistry ,Ingeniería e Infraestructura del Transporte ,liquid bulk terminal ,0502 economics and business ,General Materials Science ,Instrumentation ,lcsh:QH301-705.5 ,Fluid Flow and Transfer Processes ,Flexibility (engineering) ,050210 logistics & transportation ,021103 operations research ,business.industry ,lcsh:T ,port management ,Process Chemistry and Technology ,05 social sciences ,General Engineering ,Port management ,Multi-agent platform ,Berth allocation problem ,Port (computer networking) ,lcsh:QC1-999 ,Computer Science Applications ,Liquid bulk terminal ,multi-agent platform ,congestion anchoring ,Terminal (electronics) ,lcsh:Biology (General) ,lcsh:QD1-999 ,lcsh:TA1-2040 ,3325 Tecnología de las Telecomunicaciones ,business ,lcsh:Engineering (General). Civil engineering (General) ,lcsh:Physics ,berth allocation problem ,Computer network - Abstract
Ports are key factors in international trade, and new port terminals are quite costly and time consuming to build. Therefore, it is necessary to optimize existing infrastructure to achieve sustainability in logistics. This problem is more complex in multi-client port terminals, where quay infrastructure is shared among terminal operators who often have conflicting interests. Moreover, the berth allocation problem in liquid bulk terminals implies demanding restrictions due to the reduced flexibility in berth allocation for these types of goods. In this context, this paper presents HADES, a multi-agent platform, and the experience of its pilot use in the Port of Cartagena. HADES is a software platform where agents involved in vessel arrivals share meaningful but limited information. This is done to alleviate potential congestion in multi-client liquid bulk terminals, promoting a consensus where overall congestion anchoring is reduced. A study is presented using a mixed integer linear program (MILP) optimization model to analyze the maximum theoretical reduction in congestion anchoring, depending on the flexibility of vessel arrival time changes. Results show that 6 h of flexibility is enough to reduce congestion anchoring by half, and 24 h reduces it to negligible values. This confirms the utility of HADES, which is also briefly described. The authors would like to thank Port Authority of Cartagena for data supplied, and terminal operators of docks E010 and E011 for their suggestions.
- Published
- 2021
- Full Text
- View/download PDF
16. Open-architecture system based on a reconfigurable hardware–software multi-agent platform for CNC machines
- Author
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Morales-Velazquez, Luis, Romero-Troncoso, Rene de Jesus, Osornio-Rios, Roque Alfredo, Herrera-Ruiz, Gilberto, and Cabal-Yepez, Eduardo
- Subjects
- *
COMPUTER input-output equipment , *COMPUTER software , *COMPUTER architecture , *ARTIFICIAL intelligence , *MULTIAGENT systems , *FIELD programmable gate arrays , *MACHINE theory , *XML (Extensible Markup Language) - Abstract
Abstract: New generation of manufacturing systems endows their intelligence and reconfigurability to the computerized numerical controller (CNC) machines. This paper presents an open-architecture platform based on multi-agent hardware–software units, by developing a novel Multi-Agent Distributed CONtroller (MADCON) system. This system intends to fulfill the requirements of reconfigurability for the next generation of intelligent machines. The design of intelligent drives for this system follows a hardware–software co-design approach using a simple and intuitive structure. The hardware units of the proposed system integrate control and monitoring functions providing an FPGA-based open architecture for reconfigurable applications. On the other hand, software components were developed utilizing the XML structure for system description files, gathering features like a flowchart descriptive language and a graphic user-interface. MADCON was applied to a retrofitted to CNC lathe for control and monitoring in order to validate the proposed architecture towards the development of new generation intelligent manufacturing systems. [ABSTRACT FROM AUTHOR]
- Published
- 2010
- Full Text
- View/download PDF
17. Integrated Management of Hydro Resources: Tools to Ensure Urban Environmental Sustainability.
- Author
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Galindo, Evania Freires and De Gusmão Furtado, Maria de Fátima Ribeiro
- Subjects
WATER supply management ,URBAN planning ,SUSTAINABLE development ,WATER conservation ,CONSERVATION of natural resources - Abstract
Ensuring urban environmental sustainability and achieving effective water conservation are two goals strongly linked to the integration of hydro resources management and urban planning. This approach considers the complex network of social, political, economic, ecological, and symbolic relations that constitute the process of producing and managing urban space and articulating urban planning, environmental conservation, and ecological ethics. The objective of this article is to discuss the central aspects of the integrated management of hydro resources that would ensure urban environmental sustainability. [ABSTRACT FROM AUTHOR]
- Published
- 2006
18. Multi-agent systems and their applications
- Author
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Chen-Ching Liu and Jing Xie
- Subjects
Consensus algorithm ,0209 industrial biotechnology ,Engineering ,020209 energy ,Distributed computing ,Multi-agent system (MAS) ,system architecture ,02 engineering and technology ,computer.software_genre ,intelligent agent ,consensus algorithm ,Intelligent agent ,020901 industrial engineering & automation ,distributed control ,0202 electrical engineering, electronic engineering, information engineering ,smart grid ,business.industry ,under-frequency load shedding ,Multi-agent system ,Load Shedding ,multi-agent platform ,Smart grid ,Distributed algorithm ,Distributed generation ,Systems architecture ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,business ,lcsh:TK1-9971 ,computer - Abstract
The number of distributed energy components and devices continues to increase globally. As a result, distributed control schemes are desirable for managing and utilizing these devices, together with the large amount of data. In recent years, agent-based technology becomes a powerful tool for engineering applications. As a computational paradigm, multi-agent systems (MASs) provide a good solution for distributed control. In this paper, MASs and applications are discussed. A state-of-the-art literature survey is conducted on the system architecture, consensus algorithm, and multi-agent platform, framework, and simulator. In addition, a distributed under-frequency load shedding scheme is proposed using the MAS. Simulation results for a case study are presented. The future of MASs is discussed in the conclusion.
- Published
- 2017
19. Modelling small agricultural dams dynamics into the MAELIA multi-agent platform
- Author
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Lardy, Romain, Truche, Camille, Therond, Olivier, ARVALIS - Institut du végétal [Paris], Observatoire des Programmes Communautaires de Développement Rural (US ODR), Institut National de la Recherche Agronomique (INRA), Laboratoire Agronomie et Environnement - Antenne Colmar (LAE-Colmar ), Laboratoire Agronomie et Environnement (LAE), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), and THEROND, OLIVIER
- Subjects
[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy ,[SDE] Environmental Sciences ,multi-agent platform ,[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems ,small agricultural dams ,water resource management ,[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture ,integrated modelling ,[SDE]Environmental Sciences ,[SDV.EE.ECO] Life Sciences [q-bio]/Ecology, environment/Ecosystems ,[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy ,[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture ,hydrology - Abstract
International audience; In France, during the three last decades farmers built numerous small dams to have alternative resources for irrigation. In water deficit situations, one major question of the debate is the cumulative effect at watershed and river basin levels of small water dams on stream flows during the low flow period. This paper presents a new modelling framework to simulate hydrology and cumulative effect of small agricultural dams at river basin level that was implemented in the multi-agent modelling and simulation MAELIA platform. This modelling framework is based on the distinction of four types of small dams: connected to groundwater; disconnected from rivers; connected to the main stream of the sub-watershed; connected to secondary streams of the sub-watershed. It allows to simulate dynamic filling, discharge and emptying of each agricultural dam. It is simple and robust enough to represent individual behaviour of thousands of dams at regional scale. When implemented in integrated modelling platform like MAELIA, it allows to explore the potential cumulative impact of agricultural dams on the river and stream flow. First simulations show no significant impacts on the case-study river flow that is strongly determined by water release from big public dams. However, they show potential significant impacts in watersheds where the flow of the main stream is not influenced by release of public dams.
- Published
- 2016
20. Semantic Intelligence and Sentiment Analysis
- Author
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Macedo, Mario, Billonnet, Laurent, C2S2 (XLIM-C2S2), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), ISFTEH, and Frank Lievens, Maline Jordanova
- Subjects
multi-agent platform ,Sentiment analysis ,[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,Multi-agent Platform ,Sentiment Analysis ,ontologies ,data nomalization - Abstract
https://hal.archives-ouvertes.fr/hal-01158781, In nowadays the domain of health data is composed by different dimensions with an emphasis in Electronic Health Records and also in Genomic, Public Health and Social Data among others. The enormous quantity of data provided from different sensors and communication languages forms what we call the Big Data of Health and Wellness. However, the unstructured data does not necessary conducts to information. The usage of Smart Technologies to promote information and knowledge is a very important issue for independent living and wellbeing. According with [1], intelligent data analysis applied to big data, presents the following challenges: a)Increase of sensor data volume (terabytes to exabytes); b)Heterogeneity: multiple data formats and standards, mix of structured and unstructured; c)Need to quickly acquire and process intelligence information; d)Agility is required to be able to incorporate new data sources; e)Support to data exploitation: each piece of data represents some part of a situation, intelligence data contain entities that must be understood and correlated. This paper presents a methodology validated by a case study to extract information from patients’ discharge notes.
- Published
- 2015
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