18 research outputs found

    System Requirements Analysis for e-learning systems using grid

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    Until recent years network-based education and grid technologies were two distinct areas. But e-learning systems have been increasingly addressing learning resources sharing (text, images, video, on-line data, etc.) and reuse, interoperability and other more different modes of interactions. E-learning systems consist of complex activities and most of them have been designed based on client-server or peer to peer, and recently web services architecture. These systems have major drawback because of their limitations in scalability, availability, distribution of computing power and storage systems, as well as sharing information between users that contribute to these systems. In this context the use of grid technology reveals its utility and availability, as scalable, flexible coordinated and secure resource sharing among geographically distributed individuals or institutions, in the perspective of e-learning.networked-based, education, grid technologies, e-learning systems,resouce sharing, interoperability, standardisation.

    Power plants automation and control using PLC tehnology

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    This paper describes the Advanced System Simulator ASIMA that uses a microprocessor for its internal functions. In the existing configuration, a Siemens Simatic S7 300 is used to study different the control functions. The automatic operating of a Conveyor Charging System is illustrated in the paper taking in account the control schemeplc technology

    POWER PLANTS AUTOMATION AND CONTROL USING PLC TEHNOLOGY

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    This paper describes the Advanced System Simulator ASIMA that uses a microprocessor for its internal functions. In the existing configuration, a Siemens Simatic S7 300 is used to study different the control functions. The automatic operating of a Conveyor Charging System is illustrated in the paper taking in account the control scheme.ASIMA

    Fault Isolation Based on Wavelets Transform

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    International audienceThis paper evaluates how wavelet transform can be used to detect and isolate particular faults. The diagnostic method that is proposed is based on the stationary wavelet transform. The wavelet coefficients allow analysing the signal changes over different scales. Therefore, fault detection can be performed. Each scale is related to a particular frequency band. Thus if various faults are known to affect different frequency bands, the wavelet coefficients can be used to isolate the faults. Fuzzyfication of the wavelet coefficients is first applied, followed by the fuzzy aggregation of the fuzzyfied coefficients to make the isolation decision easy to compute and gradual. Academic examples are discussed to show the efficiency of the isolation method presented here

    System Requirements Analysis for e-learning systems using grid

    No full text
    Until recent years network-based education and grid technologies were two distinct areas. But e-learning systems have been increasingly addressing learning resources sharing (text, images, video, on-line data, etc.) and reuse, interoperability and other more different modes of interactions. E-learning systems consist of complex activities and most of them have been designed based on client-server or peer to peer, and recently web services architecture. These systems have major drawback because of their limitations in scalability, availability, distribution of computing power and storage systems, as well as sharing information between users that contribute to these systems. In this context the use of grid technology reveals its utility and availability, as scalable, flexible coordinated and secure resource sharing among geographically distributed individuals or institutions, in the perspective of e-learning.networked-based, education, grid technologies, e-learning systems,resouce sharing, interoperability, standardisation.

    Managing human involvement in an energy community: Application to a subway station

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    Energy communities become increasingly diverse, as sharing mechanisms and artificial intelligence become an important component of the cooperation between people and energy systems. This cooperation can play an important role at municipality level, where transportation systems that consume huge quantities of energy (i.e. subway networks) could become more efficient and sustainable, with the active involvement of people. In this context, we propose a method to manage the involvement of people in the cooperation mechanism established between an energy community and a subway station. The method relies on a multi-objective recommendation strategy that provides the members the optimal times to commute in order to provide a positive environmental and economical impact at municipality level, while also considering human dissatisfaction. The strategy is simulated in a multi-agent model, where agents represent commuting passengers. Results show that important economical and environmental performances may still be obtained when both the system performance and human dissatisfaction are minimised
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