196 research outputs found

    Breeding Biology of the Sardinian Warbler (Sylvia melanocephala melanocephala) in the North-East of Algeria

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    This work examined the reproductive phenology of the Sardinian warbler (Sylvia melanocephala melanocephala) in North-eastern Algeria, which is its main geographical nesting area. Twenty-eight (28) nests were studied during two successive seasons (2016 and 2017). The results obtained in this study confirm that the nests were constructed at an average height of (01.97±01.04 m) from the ground. The laying period lasted eight (08) weeks (mid-March to the beginning of the second week of May), so fifty-four (54) days. The mean clutch size is (4.14±0.97) eggs per brood. The recorder traits were previously observed in European populations. The average of hatching success was (47.38 %) and mean reproductive success (45.24 %) were relatively low compared to European populations

    Distributed Multi-Label Classification Approach For Textual Big Data

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    With the increased generation of data, classification still a hot research topic in machine learning. Although a lot of works in literature are interested in single-label classification, the huge amount of dimensionality of data requires new approaches. Thus, multi-label classification has attracted significant attention in the research community over the last years. This task which is an extension of the single-label classification, consists of associating an instance of data (document) with multiple labels; which is practical in many domains such as image analysis, bio-informatics, and text categorization, among others. Besides that multi-label classification is a challenging task, the high dimensionality requires the use of distributed environment to manage data effectively and efficiently. Thus, in this work we propose a distributed system to classify documents using Hadoop framework. Documents are given to the MapReduce framework which assigns the set of positive labels to the documents using a distributed approach based on the Label Powerset method. Experiments on real-life data were carried out to show that the proposed approach can effectively reduce redundant attributes and improve multi-label classification accuracy

    Theoretical and experimental analysis of electromagnetic coupling into microwave circuit

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    In this paper, our work is devoted to a time domain analysis of field-to-line coupling model. The latter is designed with a uniform microstrip multiconductor transmission line (MTL), connected with a mixed load which can be linear as a resistance, nonlinear like a diode or complex nonlinear as a Metal Semiconductor Field-Effect Transistor (MESFET). The finite difference time-domain technique (FDTD) is used to compute the expression of voltage and current at the line. The primary advantage of this method over many existing methods is that nonlinear terminations may be readily incorporated into the algorithm and the analysis. The numerical predictions using the proposed method show a good agreement with the GHz Transverse Electro Magnetic (GTEM) measurement

    ICEM MODELING OF MICROCONTROLLER CURRENT ACTIVITY

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    International audienceThe ICEM draft proposal deals with an extension of the IBIS [1] standard, aimed at predicting conducted-mode as well as radiated-mode emission [2]. This proposal provides a modeling methodology for the power supply network and the current activity of an integrated circuit. Thanks to these models, predicting conducted-mode emission levels on the chip as well as on the application board becomes possible by the means of SPICE-based analog simulations. This allows the chipmaker to better choose the chip package as well as the number of power supply pairs, and the integrator to fine tune the number of power supply networks and decoupling capacitors. The corresponding models may be elaborated either in the design phase or from measurements performed as soon as the silicon becomes available. This article briefly summarizes the ICEM model, then introduces the proposed methodology aimed at obtaining the current activity model from the measurements performed on the current consumed on the power supply pins of an IC

    EMC-signatures of microcontrollers under thermal stress analyzed by FSV

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    The EMC-signature of devices containing microcontrollers can differ due to thermal or mechanical stress. Research is presented to prove the feature selective validation method (FSV) to be sensitive enough to analyze differences in signatures

    Design and development of a fuzzy explainable expert system for a diagnostic robot of COVID-19

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    Expert systems have been widely used in medicine to diagnose different diseases. However, these rule-based systems only explain why and how their outcomes are reached. The rules leading to those outcomes are also expressed in a machine language and confronted with the familiar problems of coverage and specificity. This fact prevents procuring expert systems with fully human-understandable explanations. Furthermore, early diagnosis involves a high degree of uncertainty and vagueness which constitutes another challenge to overcome in this study. This paper aims to design and develop a fuzzy explainable expert system for coronavirus disease-2019 (COVID-19) diagnosis that could be incorporated into medical robots. The proposed medical robotic application deduces the likelihood level of contracting COVID-19 from the entered symptoms, the personal information, and the patient's activities. The proposal integrates fuzzy logic to deal with uncertainty and vagueness in diagnosis. Besides, it adopts a hybrid explainable artificial intelligence (XAI) technique to provide different explanation forms. In particular, the textual explanations are generated as rules expressed in a natural language while avoiding coverage and specificity problems. Therefore, the proposal could help overwhelmed hospitals during the epidemic propagation and avoid contamination using a solution with a high level of explicability

    The conducted immunity of SPI EEPROM memories

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    International audienceThis paper focus on the conducted immunity measurement of non-volatile memories up to 1 GHz. A specific measurement flow is introduced, which makes possible to compare the EMC performances in different test cases. Trough measurements and simulation, this study gives a real view on the immunity difference of this integrated circuits (IC)

    On the Susceptibility of Micro-controller to Radio Frequency Interference

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    International audienceElectromagnetic compatibility (EMC) has recently focused more attention on Integrated Circuits (ICs). This work deals with immunity of micro-controllers to Radio Frequency Interference (RFI). The susceptibility test methods are reviewed, the test bench setup in our labs is presented, and some aspects of defensive software are detailed

    A Direct Power Injection Model for Immunity Prediction in Integrated Circuits

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    International audienceThis paper introduces a complete simulation model of a Direct Power Injection (DPI) setup, used to measure the immunity of integrated circuits to conducted continuous-wave interference. This model encompasses the whole measurement setup itself as well as the integrated circuit under test and its environment (printed circuit board, power supply). Furthermore, power losses are theoretically computed, and the most significant ones are included in the model. Therefore, the injected power level causing a malfunction of an integrated circuit, according to a given criterion, can be identified and predicted at any frequency up to 1 GHz. In addition to that, the relationship between immunity and impedance is illustrated. Simulation results obtained from the model are compared to measurement results and demonstrate the validity of this approach

    Towards nonlinearity measurement and simulation using common EMC equipment

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    International audienceIntegrated circuit (IC) models that predict functional failure are necessary for predicting the immunity of systems to electromagnetic interference (EMI). The integrated circuit immunity model for conducted immunity (ICIM-CI) of IEC 62433-4 assumes that the IC terminals still behave linearly at injection power levels that cause susceptibility. This hypothesis should be systematically verified when modelling integrated circuits for EMC, but this is not always straightforward. A simple measurement set-up using a directional coupler and a spectrum analyser is demonstrated to verify this linearity hypothesis using commonly available equipment. The measured reflected spectrum can be transformed into the |X11| parameter, which is the non-linear extension of the S11 parameter. X-parameters may be the key to predict susceptibility by simulation when the linearity hypothesis is invalid
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