High-frequency issues using rotating voltage injections intended for position self-sensing

The rotor position is required in many control schemes in electrical drives. Replacing position sensors by machine self-sensing estimators increases reliability and reduces cost. Solutions based on tracking magnetic anisotropies through the monitoring of the incremental inductance variations are efficient at low-speed and standstill operations. This inductance can be estimated by measuring the response to the injection of high-frequency signals. In general however, the selection of the optimal frequency is not addressed thoroughly. In this paper, we propose discrete-time operations based on a rotating voltage injection at frequencies up to one third of the sampling frequency used by the digital controller. The impact on the rotation-drive, the computational requirement, the robustness and the effect of the resistance on the position estimation are analyzed regarding the signal frequency

Mesures sismiques à faible profondeur : une approche intégrée

Des mesures sismiques à faible profondeur ont été réalisées dans le cadre d’une étude hydrogéophysique en Outaouais pour investiguer le sous-sol. À cet effet, une approche intégrée qui regroupe plusieurs méthodes de traitement du signal sismique a été développée. Dans cette approche, l’ensemble des modes de propagation sismique est considéré en effectuant l’analyse conjointe des ondes de surface, des ondes réfractées critiquement et des ondes réfléchies de compression P et de cisaillement polarisées verticalement SV. Cette approche intégrée est beaucoup plus robuste que si chaque méthode était considérée séparément. Elle permet d’estimer la distribution spatiale des vitesses de propagation des ondes P et S de la sous-surface et d’obtenir des profils en réflexion qui permettent d’identifier les contacts stratigraphiques. Quatre études de cas dans la région de l’Outaouais sont présentées pour illustrer cette approche. Pour l’une de ces études à Buckingham, un essai de pénétration au piézocône sismique a été réalisé afin de valider les modèles de vitesse obtenus à partir de l’approche développée. Cette approche intégrée est applicable entre autres aux domaines de l’environnement, de la géotechnique, des risques naturels et de l’hydrogéologie

Seismic modeling and inversion using half-precision floating-point numbers

New processors are increasingly supporting half-precision floating-point numbers, often with a significant throughput gain over single-precision operations. Seismic modeling, imaging, and inversion could benefit from such an acceleration, but it is not obvious how the accuracy of the solution can be preserved with a very narrow 16-bit representation. By scaling the finite-difference expression of the isotropic elastic wave equation, we have found that a stable solution can be obtained despite the very narrow dynamic range of the half-precision format.We develop an implementation with the CUDA platform, which, on most recent graphics processing units (GPU), is nearly twice as fast and uses half the memory of the equivalent single-precision version. The error on seismograms caused by the reduced precision is shown to correspond to a negligible fraction of the total seismic energy and is mostly incoherent with seismic phases. Finally, we find that this noise does not adversely impact full-waveform inversion nor reverse time migration, which both benefit from the higher throughput of half-precision computation

Seismic velocity estimation: A deep recurrent neural-network approach

ABSTRACT: Applying deep learning to 3D velocity model building remains a challenge due to the sheer volume of data required to train large-scale artificial neural networks. Moreover, little is known about what types of network architectures are appropriate for such a complex task. To ease the development of a deep-learning approach for seismic velocity estimation, we have evaluated a simplified surrogate problem — the estimation of the root-mean-square (rms) and interval velocity in time from common-midpoint gathers — for 1D layered velocity models. We have developed a deep neural network, whose design was inspired by the information flow found in semblance analysis. The network replaces semblance estimation by a representation built with a deep convolutional neural network, and then it performs velocity estimation automatically with recurrent neural networks. The network is trained with synthetic data to identify primary reflection events, rms velocity, and interval velocity. For a synthetic test set containing 1D layered models, we find that rms and interval velocity are accurately estimated, with an error of less than 44  m/s for the rms velocity. We apply the neural network to a real 2D marine survey and obtain accurate rms velocity predictions leading to a coherent stacked section, in addition to an estimation of the interval velocity that reproduces the main structures in the stacked section. Our results provide strong evidence that neural networks can estimate velocity from seismic data and that good performance can be achieved on real data even if the training is based on synthetics. The findings for the 1D problem suggest that deep convolutional encoders and recurrent neural networks are promising components of more complex networks that can perform 2D and 3D velocity model building

Ecosystem sentinels for climate change? Evidence of wetland cover changes over the last 30 years in the tropical Andes

While the impacts of climate change on individual species and communities have been well documented there is little evidence on climate-mediated changes for entire ecosystems. Pristine alpine environments can provide unique insights into natural, physical and ecological response to climate change yet broad scale and long-term studies on these potential ‘ecosystem sentinels’ are scarce. We addressed this issue by examining cover changes of 1689 high-elevation wetlands (temporarily or perennial water-saturated grounds) in the Bolivian Cordillera Real, a region that has experienced significant warming and glacier melting over the last 30 years. We combined high spatial resolution satellite images from PLEIADES with the long-term images archive from LANDSAT to 1) examine environmental factors (e.g., glacier cover, wetland and watershed size) that affected wetland cover changes, and 2) identify wetlands’ features that affect their vulnerability (using habitat drying as a proxy) in the face of climate change. Over the (1984–2011) period, our data showed an increasing trend in the mean wetland total area and number, mainly related to the appearance of wet grassland patches during the wetter years. Wetland cover also showed high inter-annual variability and their area for a given year was positively correlated to precipitation intensities in the three months prior to the image date. Also, round wetlands located in highly glacierized catchments were less prone to drying, while relatively small wetlands with irregularly shaped contours suffered the highest rates of drying over the last three decades. High Andean wetlands can therefore be considered as ecosystem sentinels for climate change, as they seem sensitive to glacier melting. Beyond the specific focus of this study, our work illustrates how satellite-based monitoring of ecosystem sentinels can help filling the lack of information on the ecological consequences of current and changing climate conditions, a common and crucial issue especially in less-develope

Organisation territoriale et socio-économique au Néolithique final dans la région du Grand-Pressigny: caractérisation des provenances des matériaux céramiques

National audienceIn and around Le Grand-Pressigny (Indre-et-Loire, France), a petrographic study was implementedon 92 ceramic samples from the Final Neolithic sites of Le Petit-Paulmy and Bergeresse (Abilly).Analyses showed that the sediments used were extracted from local sources: Claise and Creusealluvium, local substrate and loessic silts. Quantitatively, the study showed that almost all the ceramicmaterials in Bergeresse and more than half of those in Le Petit-Paulmy come from the valley of theCreuse. The mineralogical compositions of three samples from Le Petit-Paulmy, including one ofunusual form, indicate sources from an exogenous region, the Massif Central (perhaps the alluviumof the Loire or the Allier). These results show the important role played by the valley of the Creusein the territorial organisation of Le Grand-Pressigny. This study therefore makes an originalcontribution to the debate on flint exploitation in this region. These ceramic data are expected to offernew interpretative models concerning the socio-economic organisation of local Neolithic communities.Dans la région du Grand-Pressigny (Indre-et-Loire, France), une étude pétrographique a été conduite sur 92 échantillons céramiques du Néolithique final provenant des sites du Petit-Paulmy et de Bergeresse (Abilly), respectivement situés dans la vallée de la Claise et de la Creuse. Les analyses ont montré que les sédiments utilisés provenaient majoritairement de sources locales, correspondant aux alluvions de la Claise, de la Creuse, au substrat local et à des limons loessiques. Quantitativement, l'étude a montré que presque tous les matériaux céramiques de Bergeresse et plus de la moitié de ceux du Petit-Paulmy proviennent de la vallée de la Creuse. Les compositions minéralogiques de trois échantillons du Petit-Paulmy, dont un concernant une forme particulière, indiquent des provenances exogènes, du Massif central (alluvions de la Loire ou de l'Allier). Ces résultats montrent l'importance du rôle joué par la vallée de la Creuse dans l'organisation territoriale de la région du Grand-Pressigny. L'étude des céramiques apporte une contribution originale dans le débat sur l'organisation socioéconomique de l'exploitation du silex du Grand-Pressigny et devrait permettre de proposer de nouveaux modèles interprétatifs

Functional implications of calcium permeability of the channel formed by pannexin 1

Although human pannexins (PanX) are homologous to gap junction molecules, their physiological function in vertebrates remains poorly understood. Our results demonstrate that overexpression of PanX1 results in the formation of Ca2+-permeable gap junction channels between adjacent cells, thus, allowing direct intercellular Ca2+ diffusion and facilitating intercellular Ca2+ wave propagation. More intriguingly, our results strongly suggest that PanX1 may also form Ca2+-permeable channels in the endoplasmic reticulum (ER). These channels contribute to the ER Ca2+ leak and thereby affect the ER Ca2+ load. Because leakage remains the most enigmatic of those processes involved in intracellular calcium homeostasis, and the molecular nature of the leak channels is as yet unknown, the results of this work provide new insight into calcium signaling mechanisms. These results imply that for vertebrates, a new protein family, referred to as pannexins, may not simply duplicate the connexin function but may also provide additional pathways for intra- and intercellular calcium signaling and homeostasis