International Professional University of Technology in Nagoya Repository
Not a member yet
15131 research outputs found
Sort by
Charge transport limitations in hierarchical composite electrodes of lithium-ion batteries
No full textInternational audienc
Components’ demand analysis in Assemble-to-Order systems: An analysis method
No full textInternational audienc
Exploitation de la parcimonie par la factorisation de Cholesky et son application pour la détection d'anomalies en imagerie hyperspectrale
No full textInternational audienceEstimating large covariance matrices has been a longstanding important problem in many applications and has attracted increased attention over several decades. This paper deals with two methods based on pre-existing works to impose sparsity on the covariance matrix via its unit lower triangular matrix (aka Cholesky factor) T. The first method serves to estimate the entries of T using the Ordinary Least Squares (OLS), then imposes sparsity by exploiting some generalized thresholding techniques such as Soft and Smoothly Clipped Absolute Deviation (SCAD). The second method directly estimates a sparse version of T by penalizing the negative normal log-likelihood with L1 and SCAD penalty functions. The resulting covariance estimators are always guaranteed to be positive definite. Some Monte-Carlo simulations demonstrate the effectiveness of our estimators for hyperspectral anomaly detection using the Kelly anomaly detector.– Dans ce papier, deux stratégies de parcimonie sont proposées et appliquées sur la matrice de covariancè a travers sa matrice unitaire triangulaire inférieure (ou facteur de Cholesky) T. Lapremì ere permet d'abord d'estimer les entrées de T par la méthode des moindres carrés ordinaires (Ordinary Least Squares (OLS)), et ensuite introduire de la parcimonie en profitant de quelques techniques de seuillages comme Soft et Smoothly Clipped Absolute Deviation (SCAD). Ladeuxì eme consistè a directement estimer une version parcimonieuse de T en pénalisant le logarithme du maximum de vraisemblance normal négatif par la norme L1 et SCAD. La propriété que la matrice de covariance résultante estimée soit définie positive (et inversible) est toujours garantie. L'efficacité des méthodes proposées estévaluéeest´estévaluée sur quelques simulations de Monte-Carlo pour la détection d'anomalies en imagerie hyperspectral
Mirroring Hypothesis and Integrality in the Electric Vehicle Industry: Evidence from Tesla Motors.
No full textInternational audienc
Electromagnetic field level in the immediate vicinity of a Linky meter
No full textInternational audienc
3D-Calibration of the IMU
No full textInternational audienceA new calibration method for Inertial Measurement Unit (IMU) of strapdown inertial technology was presented. IMU has been composed of accelerometers, gyroscopes and a circuit of signal processing. Normally, a rate transfer test and multi-position tests are used for IMU calibration. The new calibration method is based on whole angle rotation or finite rotation. In fact it is suggested to turn over IMU around three axes simultaneously. In order to solve the equation of calibration, it is necessary to provide an equality of a rank of basic matrix into degree of basic matrix. The results of simulated IMU data presented to demonstrate the performance of the new calibration method
Understanding the fundamental mechanisms of biofilms development and dispersal: BIAM (Biofilm Intensity and Architecture Measurement), a new tool for studying biofilms as a function of their architecture and fluorescence intensity
No full textInternational audienceConfocal laser scanning microscopy (CLSM) is one of the most relevant technologies for studying biofilms in situ. Several tools have been developed to investigate and quantify the architecture of biofilms. However, an approach to quantify correctly the evolution of intensity of a fluorescent signal as a function of the structural parameters of a biofilm is still lacking. Here we present a tool developed in the ImageJ open source software that can be used to extract both structural and fluorescence intensity from CLSM data: BIAM (Biofilm Intensity and Architecture Measurement). This is of utmost significance when studying the fundamental mechanisms of biofilm growth, differentiation and development or when aiming to understand the effect of external molecules on biofilm phenotypes. In order to provide an example of the potential of such a tool in this study we focused on biofilm dispersion. cis-2-Decenoic acid (CDA) is a molecule known to induce biofilm dispersion of multiple bacterial species. The mechanisms by which CDA induces dispersion are still poorly understood. To investigate the effects of CDA on biofilms, we used a reporter strain of Escherichia coli (E. coli) that expresses the GFPmut2 protein under control of the nn.13P1 promoter. Experiments were done in flow cells and image acquisition was made with CLSM. Analysis carried out using the new tool, BIAM, indicates that CDA affects the fluorescence intensity of the biofilm structures as well as biofilm architectures. Indeed, our results demonstrate that CDA removes more than 35% of biofilm biovolume and suggest that it results in an increase of the biofilm's mean fluorescence intensity (MFI) by more than 26% compared to the control biofilm in the absence of CDA
A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions
No full textInternational audienceElectrical power transmission networks of many developed countries are undergoing deep transformations aimed at (i) facing the challenge offered by the stochastically fluctuating power contributions due to the continuously growing connections of renewable power generating units and (ii) decreasing their vulnerability to failures or malicious attacks and improving their resilience, in order to provide more reliable services, thus increasing both safety and profits. In this complex context, one of the major concerns is that related to the potentially catastrophic consequences of cascading failures triggered by rare and difficult to predict extreme weather events. In this work, we originally propose to combine an extreme weather stochastic model of literature to a realistic cascading failure simulator based on a direct current (DC) power flow approximation and a proportional re-dispatch strategy. The description of the dynamics of the network is completed by the introduction of a novel restoration model accounting for the operating conditions that a repair crew may encounter during an extreme weather event. The resulting model is solved by a customized sequential Monte Carlo scheme in order to quantify the impact of extreme weather events on the reliability/availability performances of the power grid. The approach is demonstrated with reference to the test case of the IEEE14 power transmission networ