Einfluss von mykotoxinbelastetem Streustroh auf die Fruchtbarkeit von Zuchtsauen

The effect of bedding straw contaminated with Fusarium mycotoxins (1.4 mg/kg deoxynivalenol (DON) and 0.9 mg/kg ZON; median values) on the fertility of group housed sows with daily access to pasture was tested using 48 sows kept on contaminated and 48 control sows kept on uncontaminated straw from mating until farrowing. No abortions were observed. The contaminated straw neither influenced the pregnancy rate nor the number and weight of the newborn piglets. DON up to 1.4 mg/kg and ZON up to 0.9 mg/kg in bedding straw seem to have no negative effects in sows having access to roughage such as pasture grass. Straw without signs of deterioration, even if it may be contaminated with Fusarium mycotoxins, is a suitable bedding material for pregnant sows, and its use is to be encouraged to improve animal welfare

Discrete Wavelet Transform and Optimal Spectral Transform Applied to Multicomponent Image Coding

ISBN 978-953-307-482-5 Chapitre 10International audienc

VEHICLE DETECTION AND COMMUNICATION SYSTEM BETWEEN A VEHICLE AND A ROAD, AND FITTED VEHICLE

The system makes it possible to detect a vehicle on a road and provide two-way communication between the vehicle (4) and a fixed assembly attached to the road, the fixed assembly (1, 6, 7) being capable of communicating via electromagnetic waves with an onboard assembly (3, 5) in the vehicle and equipped with a bidirectional antenna (3), the fixed assembly comprising to this end a short electromagnetic detection circuit (la), in one vehicle traffic direction, and a long communication circuit (1b) forming a bidirectional communication antenna, the communication circuit (1b) being connected in series with the detection circuit (la) and extending along said direction over a greater distance than the detection circuit

Onboard Hyperspectral images compression with exogenous quasi optimal coding transforms

In previous works, we defined the Optimal Transform Code (OTC) assuming high rate coding and using the asymptotical Bennett approximation of the rate. We showed that the OTC gives the optimal linear transform of a multicomponent image compression scheme which consists in applying a linear transform that adapts to the encoded image for reducing the spectral redundancy and a fixed 2-D Discrete Wavelet Transform (DWT) per component for reducing the spatial redundancy. The performances in terms of rate vs PSNR (Peak of Signal to Noise Ratio) are very attractive when evaluated with the Verification Model version 9 of the JPEG2000 committee which is a JPEG2000 codec (coding-decoding). The transform in OTC performs better than the Karhunen Loeve Transform (KLT). The drawback of the OTC is its high computing complexity, since the optimal linear transform must be computed for each encoded image. In order to implement the OTC in an on- board satellite real-time codec system, we propose to pass round the problem of computing complexity by learning only one fixed transform with the OTC algorithms from a set of images instead of computing a new transform for each image. We call the fixed transform computed in this way an exogenous quasi-optimal linear transform. In this paper, we focus the study on hyperspectral images. Our set of images is constituted of ten Hyperion3 hyperspectral images. We have separated the VNIR and the SWIR bands (since they are obtained with two different sensors on- board) and we just focus on the VNIR spectral bands

Compression d'images hyperspectrales: un codeur par arbres de zéros bien adapté aux transformations à base d'ACI ?

Pour traiter et stocker le volume croissant de données issues de capteurs d'images multispectrales et hyperspectrales embarqués dans les satellites de nouvelle génération, le développement d'algorithmes de compression capables d'exploiter les redondances spectrale et spatiale de ces données est nécessaire. Une précédente étude a montré que, pour des schémas de compression associant des décompositions en ondelettes 2D (pour réduire la redondance spatiale) à des transformations linéaires adaptables (pour réduire la redondance spectrale), la transformation spectrale optimale, à hauts débits, peut être calculée par des algorithmes d'Analyse en Composantes Indépendantes (ACI) modifiés. Dans le cadre de nos travaux de recherche, nous avons poursuivi cette étude en nous focalisant sur deux points essentiels. Le premier a consisté à rechercher une matrice à base d'ACI à coefficients fixes qui ne s'adapte plus à l'image, dans le but de réduire la complexité de codeurs utilisant des transformations optimales. Pour y parvenir, nous avons calculé une transformation quasioptimale exogène sur une base d'apprentissage constituée d'images issues d'un même capteur, puis testé cette transformation sur une base de test différente de la base d'apprentissage. Les performances en compression des transformations exogènes à base d'ACI ont été évaluées et comparées à celles obtenues par la KLT en utilisant comme codeur le VM9 (Verification Model version 9), qui est compatible avec la Partie 2 du standard JPEG2000. Les premiers résultats obtenus ont été complétés par une autre étude portant sur des images Hyperion (voir l'exposé de I. P. Akam Bita et al.) Le second point a consisté à rechercher un codeur par construction d'arbres de zéros 3D bien adapté aux transformations à base d'ACI. Nous avons commencé par développer un codeur n'utilisant que des arbres de zéros 2D, de type SPIHT, qui gère des images 3D avec une allocation quasioptimale entre composantes. Ce SPIHT modifié, que nous appellerons SPIHT2D dans la suite a été conçu pour gérer des images 3D avec le meilleur compromis que nous avons obtenu entre complexité de l'algorithme et performances. Disposant de ce codeur SPIHT2D de référence, nous avons cherché des structures par arbres de zéros 3D et comparé les performances de codeurs utilisant ces structures (ezw3d, spiht_3D, spihtN_3D et spihtN_3D2, la valeur de N est un paramètre) associés ou non à un codeur arithmétique avec modélisation de contextes

Low-Complexity Hyperspectral Image Coding Using Exogenous Orthogonal Optimal Spectral Transform (OrthOST) and Degree-2 Zerotrees

We introduce a low-complexity codec for lossy compression of hyperspectral images. These images have two kinds of redundancies: 1) spatial; and 2) spectral. Our coder is based on a compression scheme consisting in applying a 2-D discrete wavelet transform (DWT) to each component and a linear transform between components to reduce, respectively, spatial and spectral redundancies. The DWT used is the Daubechies 9/7. However, the spectral transform depends on the spectrometer sensor and the kind of images to be encoded. It is calculated once and for all on a set of images (the learning basis) from (only) one sensor, thanks to Akam Bita et al. 's OrthOST algorithm that returns an orthogonal spectral transform, whose optimality in high-rate coding has been recently proved under mild conditions. The spectral transform obtained in this way is applied to encode other images from the same sensor. Quantization and entropy coding are then achieved with a well-suited extension to hyperspectral images of the Said and Pearlman's SPIHT algorithm. Comparisons with a JPEG2000 codec using the Karhunen-Loève transform (KLT) to reduce spectral redundancy show good performance for our codec

Online Speaker Diarization with a Size-Monitored Growing Neural Gas Algorithm

International audienceThis paper proposes a method for segmenting and clustering an audio flow on the basis of speaker turns. This process, also known as speaker diarization, is of major importance in multimedia indexation. Here, we propose to realize this process online and without any prior knowledge on the number of speakers. This is done thanks to a statistical modelling of speakers based on a size-monitored growing neural gas algorithm