Elion IP, S.L

A method for completion of intra-orally scanned denture. The method includes providing at least one boundary between gingiva and crown faces by processing a mesh representing at least part of segmented teeth and segmented gingiva of a person. The method also includes providing each tooth of the person with a complete crown boundary by determining at least part of a boundary between each tooth and the gingiva and identifying whether there is at least one occluded and/or missing surface with part of a boundary between the tooth and the gingiva missing, and estimating the part of the missing boundary. The method also includes providing a mesh for each tooth of the person based on both faces of the crown thereof and the complete crown boundary thereof.

The disclosure refers to a method and system for measuring optical spectra of signals based on optical spectroscopy. The system comprises a tunable optical source that generates a probe signal, a first optical splitting device that receives a signal under test whose optical spectrum is to be measured, a first optical fiber connected to the first optical splitting device and to the tunable optical source and a first photodetector. The first photodetector is configured to measure, with the signal under test being injected into to the first optical fiber, the insertion losses in the probe signal after having passed through the first optical fiber, subtract a baseline from the measured optical spectrum of the signal under test obtaining a processed optical spectrum and calibrate the processed optical spectrum to obtain the optical spectrum of the signal under test.

A method comprising: processing an instruction to modify a trained artificial intelligence, AI, system, the AI system being configured to provide at least one output based on an input dataset, the trained AI system having the form of a tensor network, the instruction comprising adding a first dataset in the AI system and/or removing a second dataset from the AI system; and running the instruction on the trained AI system, which comprises: when the instruction at least comprises adding the first dataset, encoding data values of the first dataset in one or more tensors of the trained AI system associated with values of the first dataset; and when the instruction at least comprises removing the second dataset, setting to zero values associated with data values or relationships of the second dataset in one or more tensors of the trained AI system associated with values of the second dataset, or removing the one or more tensors associated with values of the second dataset from the AI system. Also, an apparatus, a system and a computer program associated with the method.

A computer-implemented method for simulating and analyzing material deformations with principles of linear elasticity; the method includes: decomposition of a geometry into multiple simple domains and computing mesh-grid tensor as TN-vectors for all dimensions for specifying the corresponding coordinate with defining mesh-grid function for any given input in mesh-grid tensors; using mesh-grid tensors for each simple domains that defined for all available dimensions; computing the components of the Jacobian and determinant of the Jacobian of the element transformation and mapping the reference element into small element of each simple domain to compute them all at once with using TN-operations; processing stress and strain fields within the material, forces applied to the material and test function equations that defined on the storage medium over local elements for the stiffness and mass matrices through the Jacobian components that computed in a previous step; assembling the stiffness TN-operators and the mass TN-operators for each simple domain; stitching the stiffness TN-operators and the mass TN-operators together for enforcing continuity over interfaces; applying mass TN-operator unit to external force TN-vector.

A method comprising: digitally processing a plurality of RFID data transmissions received by at least one antenna assembly, each RFID data transmission having a same identifier, and comprising estimating a location of an RFID tag corresponding to the identifier of the plurality of RFID data transmissions at least based on: a location of a first antenna assembly receiving two or more first RFID data transmissions; and an orientation of a rotary antenna of the first antenna assembly when each of the two or more first RFID data transmissions were received by said rotary antenna; and estimating of the location of the RFID tag comprises obtaining the estimated location of the RFID tag at least based on an average of a number of RFID data transmissions per orientation of the rotary antenna receiving the two or more first RFID data transmissions. Also, a system, and a computing device or system.

A computer-implemented method comprising: controlling at least one light source to emit at least one light beam; controlling at least one mirror to scan the at least one light beam in a first direction; and controlling a microelectromechanical system, MEMS, mirror that the at least one light beam impinges on and directs towards the at least one mirror, wherein the MEMS mirror is controlled to modify how the at least one light beam impinges on the at least one mirror to further scan the at least one light beam in at least a second direction not parallel to the first direction. Also, an apparatus and a method.

A method comprising: monitoring active power provided by at least one wind turbine generator, WTG, prior to a fault event that causes at least one fault affecting the at least one WTG in a predetermined time duration, each fault of the at least one fault causing a voltage reduction; determining a voltage reduction parameter indicative of the voltage reduction of at least one fault in the fault event when the fault event occurs; and determining an active power ramp up control strategy for the at least one WTG at least based on the active power and the voltage reduction parameter. Also, a computing device or system, a wind turbine generator or a wind farm, and a computer program.

A method comprising: breaking down a cost function into two-bit terms; applying a two-bit gate of temporal evolution and step change to a selected two-bit term, thereby generating a tensor per bit, with a connecting tensor index between the two tensors; shortening the connecting tensor index; removing at least as many connecting tensors as needed to reduce the number of connecting tensor indices down to a predetermined threshold M; and carrying out the applying, shortening and removing for one, some or all other two-bit terms of the cost function at least until a solution to the cost function reaches a predetermined convergence.

The methods, apparatuses and systems involve simulating a quantum computer by generating a dynamic tensor network according to a structure of a quantum circuit to be simulated. The method comprises: reading two-qubit terms of the quantum circuit; providing a two-qubit gate for each read two-qubit term thereby providing a tensor per qubit, and a connecting tensor index for the two tensors; shortening the connecting tensor index by using a value decomposition and keeping a predetermined number D of largest values; removing at least as many connecting tensor indices as needed to reduce the number of connecting tensor indices down to a predetermined threshold M if the number exceeds M.

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