Search results for "Pattern"
showing 10 items of 4203 documents
Vibrations and oscillations of tri-soliton molecules in a mode-locked fiber laser
2018
We present numerical simulations highlighting internal oscillations and vibrations within tri-soliton molecules generated by a mode-locked fiber laser. We highlight major qualitative differences as compared to two-soliton molecules.
Resonance phenomena in a nonlinear neuronal circuit
2015
International audience; We characterizes a nonlinear circuit driven by a bichromatic excitation,that is the sum of two sinusoidal waves with different frequencies f1 and f2 suchthat f2 > f1. Our experiments are confirmed by a numerical analysis of the systemresponse obtained by solving numerically the differential equations which rule thecircuit voltages. Especially, we highlight that the response of the system at the lowfrequency can be optimized by the amplitude of the high frequency. By revisiting thiswell known vibrational resonance effect in the whole amplitude frequency parametricplane, we show experimentally and numerically that a much better resonance can beachieved when the two fre…
Assessment of vine development according to available water resources by using remote sensing in La Mancha, Spain
1999
Abstract The relevance of growing vines under semiarid conditions is universally accepted because of its impacts on social, economic and environmental aspects. Improving the knowledge of the soil–plant–atmosphere system related to the expression of vine growth allows the study of vine cover in wide areas. Several aspects of vine growing under semiarid conditions, related to weather, soil, and plant cover are analysed in this paper. Once the ground truth is achieved, multitemporal studies by remote sensing are especially useful for vine growth monitoring. The purpose of this work is focussed on determining changes of vine cover development according to available water resources in relation t…
Use and limitations of ICP-OES in wine analysis
1989
At present, some 50 inorganic components in wine can be detected, of which 8 are mineral matter at concentrations down to 1 mg/l, about 25 are trace elements with concentrations of 0.001–0.1 mg/l, and about 20 are ultratrace elements at concentrations below 1 μg/1. It has been shown that ICP-OES, a typical multielement detection method, permits the fast and reliable simultaneous determination of whole range of these inorganic species in wine, and thus can help in solving practical problems in wine manufacture. For instance, the metal content of wine can be checked, and corrosion and contamination monitored. Ten trace elements (Al, Cd, Co, Cr, Cu, Fe, Mn, Pb, V, Zn) which may be toxic or to …
Applying pattern recognition methods plus quantum and physico-chemical molecular descriptors to analyze the anabolic activity of structurally diverse…
2008
The great cost associated with the development of new anabolic-androgenic steroid (AASs) makes necessary the development of computational methods that shorten the drug discovery pipeline. Toward this end, quantum, and physicochemical molecular descriptors, plus linear discriminant analysis (LDA) were used to analyze the anabolic/androgenic activity of structurally diverse steroids and to discover novel AASs, as well as also to give a structural interpretation of their anabolic-androgenic ratio (AAR). The obtained models are able to correctly classify 91.67% (86.27%) of the AASs in the training (test) sets, respectively. The results of predictions on the 10% full-out cross-validation test al…
Channel Capacity in Psychovisual Deep-Nets: Gaussianization Versus Kozachenko-Leonenko
2020
In this work, we quantify how neural networks designed from biology using no statistical training have a remarkable performance in information theoretic terms. Specifically, we address the question of the amount of information that can be extracted about the images from the different layers of psychophysically tuned deep networks. We show that analytical approaches are not possible, and we propose the use of two empirical estimators of capacity: the classical Kozachenko-Lonenko estimator and a recent estimator based on Gaussianization. Results show that networks purely based on visual psychophysics are extremely efficient in two aspects: (1) the internal representation of these networks dup…
Visualizing Confidence in Cluster-based Ensemble Weather Forecast Analyses
2020
In meteorology, cluster analysis is frequently used to determine representative trends in ensemble weather predictions in a selected spatio-temporal region, e.g., to reduce a set of ensemble members to simplify and improve their analysis. Identified clusters (i.e., groups of similar members), however, can be very sensitive to small changes of the selected region, so that clustering results can be misleading and bias subsequent analyses. In this article, we — a team of visualization scientists and meteorologists-deliver visual analytics solutions to analyze the sensitivity of clustering results with respect to changes of a selected region. We propose an interactive visual interface that enab…
Panel Discussion on “ how can Computer Science Contribute to the Solution of Problems Posed by Astronomers ?”
1985
A Panel was hold on June 3rd summarizing, in a way, the guide- lines and the aims of the Workshop. General questionswere addressed to M.Disney, E.Groth and D.Wells, who have expressed in the Workshop the point of view from Astronomy in the Sections “Data Analysis methodologies”, “Image processing” and “Systems for Data Analysis” respectively:
A heterogeneous and reconfigurable machine-vision system
1995
This paper describes a new machine-vision system, a HERMIA heterogeneous and reconfigurable machine for image analysis. The architecture topology of the HERMIA machine is reconfigurable; moreover, the integration of its special modules allows a search for optimal strategies to solve vision problems. The general architecture and the hardware implementation are described. The software environment of the HERMIA machine provides a full iconic interface and a pictorial language oriented to vision in multiprocessor architectures. The preliminary system evaluation and applications are shown. © 1995 Springer-Verlag.
Insect brains use image interpolation mechanisms to recognise rotated objects.
2008
Recognising complex three-dimensional objects presents significant challenges to visual systems when these objects are rotated in depth. The image processing requirements for reliable individual recognition under these circumstances are computationally intensive since local features and their spatial relationships may significantly change as an object is rotated in the horizontal plane. Visual experience is known to be important in primate brains learning to recognise rotated objects, but currently it is unknown how animals with comparatively simple brains deal with the problem of reliably recognising objects when seen from different viewpoints. We show that the miniature brain of honeybees…