摘要:
A measurement system (1) of the relative position between two structural parts (2a, 2b) of a building, that have separated for example following the formation of a crack, comprising a cylindrical permanent magnet (3) adapted to generate a magnetic field (B) and a sensor (5), the sensor (5) being fixed and the magnet (3) being moveable according to a direction perpendicular to its axis of symmetry (h) so as to vary the direction of the lines of force of the ma netic field B which cross the sensor 5.
摘要:
This invention relates to an artificial memory system and a method of continuous learning for predicting and anticipating human operator´s action as response to ego-intention as well as environmental influences during machine operation. More specifically the invention relates to an architecture with artificial memory for interacting with dynamic behaviors of a tool and an operator, wherein the architecture is a first neural network having structures and mechanisms for abstraction, generalization and learning, the network implementation comprising an artificial hierarchical memory system.
摘要:
A system (1) for identifying, analysing, and counting repetitions of physical exercises by an individual, the system (1) comprising: - at least one inertial sensor (2) that is wearable by the individual and is configured to sample corresponding signals representative of biometric and/or medical parameters of the individual so as to obtain sampled data; - a backbone neural network (6) configured to extract features arranged in a spatial vector, said backbone neural network (6) having been pre-trained by a Simple Framework for Contrastive Learning of Visual Representation, SimCLR, technique; - a first neural network (7) configured to detect exercise events in response to the receipt of the extracted features coming from the backbone neural network (6); - a second neural network (8) configured to identify the exercise event out of a pool of K different exercises the individual may be assigned; - a third neural network (9) configured to count repetitions of said identified exercise; - a version of the backbone neural network (6) that has been adapted to the tasks of binary exercise classification, multiclass exercise classification and regression of the phase indicator function, by fine-tuning the backbone neural network (6) combined with the three neural networks (7), (8) and (9) on labelled data to achieve the aforementioned tasks.
摘要:
A method for automatic diagnostics of images related to pantographs, comprising the steps of: capturing an image that shows a pantograph of a locomotive, the image being taken from an aerial view during the travel of the locomotive, the image comprising the gliding area of a plurality of slippers of the pantograph; identifying, by means of a module for classifying the pantograph model, the model of the pantograph within a plurality of pantograph models, on the basis of the image captured; determining, by means of a module for classifying materials, a material of which the slippers are composed among a plurality of materials, on the basis of the pantograph model identified; and determining a value related to the state of wear for each one of the plurality of slippers, on the basis of the type of material determined.