Abstract: A method of performing unsupervised detection of repeating patterns in a series (TS) of events (E21, E12, E5, . . . ), comprising the steps of: a) Providing a plurality of neurons (NR1-NRP), each neuron being representative of W event types; b) Acquiring an input packet (IV) comprising N successive events of the series; c) Attributing to at least some neurons a potential value (PT1-PTP), representative of the number of common events between the input packet and the neuron; d) Modifying the event types of neurons having a potential value exceeding a first threshold TL; and e) Generating a first output signal (OS1-OSP) for all neurons having a potential value exceeding a second threshold TF, and a second output signal, different from the first one, for all other neurons. A digital electronic circuit and system configured for carrying out the above method.

Abstract: A method of performing unsupervised detection of repeating patterns in a series (TS) of events (E21, E12, E5 . . . ), comprising the steps of: a) Providing a plurality of neurons (NRI-NRP), each neuron being representative of W event types; b) Acquiring an input packet (IV) comprising N successive events of the series; c) Attributing to at least some neurons a potential value (PTI-PTP), representative of the number of common events between the input packet and the neuron; d) Modify the event types of neurons having a potential value exceeding a first threshold TL; and e) generating a first output signal (OSI-OSP) for all neurons having a potential value exceeding a second threshold TF, and a second output signal, different from the first one, for all other neurons. A digital electronic circuit and system configured for carrying out such a method.

Abstract: A method for searching for a digital image representing a graphical pattern generates the descriptor of an image as a 2D m×n matrix (m, n: whole numbers): resample digital image to produce normalized image of dimensions c.m×d.n (c, d: given whole numbers), process the normalized image in p processes, indexed 1-p (p: given whole number), producing p digital characteristic images (CI), each having m×n sub-images (SI), each S-I being c×d, each CI is reduced to m×n by replacing each SI by at least one representative value determined as a function of the c×d SI pixels, a selection function selects from p values, at least one value as selected value, each descriptor element (i, j), i?[l,m], j?[l,n] is allocated the processing index from which the CI is derived generating the reduced image including the selected value from the selection function applied to p pixels (i, j) of the P reduced images.

Abstract: A hose (10) comprising a tubular body (12) of flexible material arranged between an inner and an outer helically wound wire (22, 24). The hose (10) further comprises an axial strengthening means (20) adapted to reduce deformation of the tubular body (12) when the tubular body (12) is subjected to axial tension, the axial strengthening means (20) being adapted to exert a radially inward force on at least part of the tubular body (12) when axial strengthening means (20) is subjected to axial tension.

Abstract: A hose (10) comprising a tubular body (12) of flexible material arranged between an inner and an outer helically wound wire (22, 24). The hose (10) further comprises an axial strengthening means (20) adapted to reduce deformation of the tubular body (12) when the tubular body (12) is subjected to axial tension, the axial strengthening means (20) being adapted to exert a radially inward force on at least part of the tubular body (12) when axial strengthening means (20) is subjected to axial tension.