Search results for "support"

Comment utiliser un diaporama pour favoriser les apprentissages des étudiants ?

2013

Madame N enseigne dans l'enseignement supérieur depuis de nombreuses années. Elle dirige un laboratoire de recherche dans le domaine de la santé et communique beaucoup lors de colloques. Ses enseignements en master sont directement liés à ses travaux de recherche, aussi elle utilise le plus souvent les mêmes diaporamas pour l'enseignement et pour les communications scientifiques. En prenant connaissance des résultats d'évaluation des enseignements, elle est interloquée par les commentaires des étudiants à propos de ses diaporamas : ils les trouvent brouillons, illisibles et certains demandent même à les supprimer. Cependant Madame N ne voit pas comment elle pourrait présenter ses données sc…

An analysis of feed’in tariffs for solar PV in six representative countries of the European Union

2014

Abstract In this paper, after a brief review on the main support policies for Photovoltaic (PV) systems in Europe, the specific situations of six representative countries (France, Germany, Greece, Italy, Spain and the U.K.) are examined, with the purpose of highlighting the main differences in the implementation of the feed’in tariff (FiT) support policies adopted for PV systems. In particular, a comparison based on the calculation of economic indexes, as the Discounted Cash Flows (DCF), the Pay-Back-Period (PBP), the Net Present Value (NPV) and the Internal Rate of Return (IRR), for different sized PV systems shows that a specific FiT can sometimes be inconvenient for the producer and that…

Comparative analysis of different supporting measures for the production of electrical energy by solar PV and Wind systems: Four representative Europ…

2009

Abstract In the 9th of March 2007, the European Council decided a fixing goal of 20% contribution of the renewable energy sources (RES) on the total European electric energy production in 2020. In order to reach such an ambitious goal, all the European countries are adopting different support policies for encouraging the installations of RES-based generation systems. In this paper, after a brief review on the main support policies for RES in Europe, the specific situations of four representative countries (France, Germany, Italy and Spain) are examined, with the purpose of putting into evidence the main differences in the support policies adopted for Photovoltaic (PV) and Wind systems. In p…

Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories

2004

This paper presents a comparison among several well-known machine learning techniques when they are used to carry out a one-session ahead prediction of page categories. We use records belonging to 18 different categories accessed by users on the citizen web portal Infoville XXI. Our first approach is focused on predicting the frequency of accesses (normalized to the unity) corresponding to the user’s next session. We have utilized Associative Memories (AMs), Classification and Regression Trees (CARTs), Multilayer Perceptrons (MLPs), and Support Vector Machines (SVMs). The Success Ratio (SR) averaged over all services is higher than 80% using any of these techniques. Nevertheless, given the …

Diagnosis of inverter-fed induction motors in short time windows using physics-assisted deep learning framework

2019

This article presents a framework for accurate fault diagnostics in inverter-fed induction machinery operating under variable speed and load conditions within very short time windows. Condition indicators based on fault characteristic frequencies observed over the extended Park's vector modulus are fused with deep features extracted using stacked autoencoders to generate a multidimensional feature space for fault classification using support vector machine. The proposed approach is demonstrated in a laboratory setup to detect the most commonly occurring faults, namely, the stator turns fault, broken rotor bars fault and bearing fault with an accuracy > 98% within a short time window of 2–3 …

Spectrum Hole Detection for Cognitive Radio through Energy Detection using Random Forest

2020

The growth of wireless data is the major driving force for an exponential increase in wireless communication. Cognitive Radio is one of the emerging wireless technologies that can be used for smart utility networks. Optimum utilization of the wireless spectrum is the objective of Cognitive Radio. Finding a spectrum hole through intelligent means is essential for the success of Cognitive Radio. Dynamic spectrum allocation is also an efficient technique for spectrum allocation. It will lead to a better spectrum utilization. In this paper, some of the machine learning techniques are used to find a frequency range for dynamic spectrum allocation. Different machine learning techniques such as Lo…

Robust spatio-temporal descriptors for real-time SVM-based fall detection

2014

Optimization of Complex SVM Kernels Using a Hybrid Algorithm Based on Wasp Behaviour

2010

The aim of this paper is to present a new method for optimization of SVM multiple kernels The kernel substitution can be used to define many other types of learning machines distinct from SVMs We introduced a new hybrid method which uses in the first level an evolutionary algorithm based on wasp behaviour and on the co-mutation operator LR−Mijn and in the second level a SVM algorithm which computes the quality of chromosomes The most important details of our algorithms are presented The testing and validation proves that multiple kernels obtained using our genetic approach are improving the classification accuracy up to 94.12% for the “leukemia” data set.

Definition and Performance Evaluation of a Robust SVM Based Fall Detection Solution

2012

We propose an automatic approach to detect falls in home environment. A Support Vector Machine based classifier is fed by a set of selected features extracted from human body silhouette tracking. The classifier is followed by filtering operations taking into account the temporal nature of a video. The features are based on height and width of human body bounding box, the user's trajectory with her/his orientation, Projection Histograms and moments of order 0, 1 and 2. We study several combinations of usual transformations of the features (Fourier Transform, Wavelet transform, first and second derivatives), and we show experimentally that it is possible to achieve high performance using a si…

An AI Walk from Pharmacokinetics to Marketing

2009

This work is intended for providing a review of reallife practical applications of Artificial Intelligence (AI) methods. We focus on the use of Machine Learning (ML) methods applied to rather real problems than synthetic problems with standard and controlled environment. In particular, we will describe the following problems in next sections: • Optimization of Erythropoietin (EPO) dosages in anaemic patients undergoing Chronic Renal Failure (CRF). • Optimization of a recommender system for citizen web portal users. • Optimization of a marketing campaign. The choice of these problems is due to their relevance and their heterogeneity. This heterogeneity shows the capabilities and versatility …