Online Prediction of Nonlinear Signal Processing Problems Based Kernel Adaptive Filtering

This paper presents two of the most knowing kernel adaptive filtering (KAF) approaches, the kernel least mean squares and the kernel recursive least squares, in order to predict a new output of nonlinear signal processing. Both of these methods implement a nonlinear transfer function using kernel methods in a particular space named reproducing kernel Hilbert space (RKHS) where the model is a linear combination of kernel functions applied to transform the observed data from the input space to a high dimensional feature space of vectors, this idea known as the kernel trick. Then KAF is the developing filters in RKHS. We use two nonlinear signal processing problems, Mackey Glass chaotic time series prediction and nonlinear channel equalization to figure the performance of the approaches presented and finally to result which of them is the adapted one

Global Lipschitz stability of multiple space dependent ionic parameters for the MEA/hiPSC-CM assays

International audienceAbstract In this paper, we consider an inverse problem of determining two space dependent ionic parameters of a strongly coupled parabolic-elliptic reaction–diffusion system arising in cardiac electrophysiology modeling when simulating drugs action with multi-electrode array/human induced pluripotent stem cells-cardiomyocytes assays. We use the bidomain model coupled to an ordinary differential equation and we consider the classical phenomenological model in cardiac electrophysiology of FitzHugh–Nagumo to describe the ionic exchanges at the microscopic level. Our main result is the uniqueness and a Lipschitz stability estimate for two ionic parameters ( k , γ ) of the model using sub-boundary observations over an interval of time. The key ingredients are a global Carleman-type estimates with a suitable observations acting on a part of the boundary

Finite dimensional scattered posets

21International audienceWe discuss a possible characterization, by means of forbidden configurations, of posets which are embeddable into a product of finitely many scattered chains

Characterization of iron-modified natural clay for textile dye retention by sono-adsorption technology

In the present study, iron-pillared clay was prepared using ferrous nitrate Fe(NO3)3. The removal of Reactive Blue (RB4) dye by ultrasound-assisted sorption onto the synthesized pillared Tunisian clay in aqueous solutions was studied. The natural and modifed clay samples were characterized using XRD, FTIR TEM, and nitrogen adsorption measurement methods. Mineralogical data show that smectites are the main minerals of clay samples. FTIR spectra indicate that the stretching vibration bands of the structural hydroxyl groups are broad after treatments. A new band appears at 1570 cm−1, after the sorption of RB4 dye, attributed to aromatic C=C stretching vibration, which suggests the adsorption of RB4. A remarkable decrease was detected in the BET surface after sono-adsorption indicating that the sites of modifed clay are almost occupied by the dye. The maximum Reactive Blue 4 quantity was removed at pH 8. Meanwhile, more active Fe–C surface sites were available for both adsorption and sono-adsorption with increasing RB4 concentration, thereby increasing the removal efciency. Monolayer adsorption capacity via the sono-assisted method also showed a high removal amount of 46.51 mg/g. Langmuir’s model describes the experimental data better than Freundlich’s. A comparative study confrmed that RB4 sono-adsorption by a Tunisian clay sample was higher than others used in other relevant studies, highlighting that these clay deposits may be applied to the dyes’ elimination from wastewaters

Contamination of planktonic food webs in the Mediterranean Sea: Setting the frame for the MERITE-HIPPOCAMPE oceanographic cruise (spring 2019)

International audienceThis paper looks at experiential feedback and the technical and scientific challenges tied to the MERITE-HIPPOCAMPE cruise that took place in the Mediterranean Sea in spring 2019. This cruise proposes an innovative approach to investigate the accumulation and transfer of inorganic and organic contaminants within the planktonic food webs. We present detailed information on how the cruise worked, including 1) the cruise track and sampling stations, 2) the overall strategy, based mainly on the collection of plankton, suspended particles and water at the deep chlorophyll maximum, and the separation of these particles and planktonic organisms into various size fractions, as well as the collection of atmospheric deposition, 3) the operations performed and material used at each station, and 4) the sequence of operations and main parameters analysed. The paper also provides the main environmental conditions that were prevailing during the campaign. Lastly, we present the types of articles produced based on work completed by the cruise that are part of this special issue