Abstract: Embodiments provide functionality for generating finite element models (FEMs). An embodiment begins by obtaining a computer-aided design (CAD) model representing an assembly of parts and an indication of a symmetry plane within the CAD model. From amongst the assembly of parts, a source part and a corresponding mirror part are identified using the obtained CAD model and the indication of the symmetry plane. In turn, the source part is meshed to generate a FEM representing the source part and the FEM representing the source part is mirrored to generate a FEM representing the mirror part.

Abstract: In one embodiment, the method includes obtaining channel response data including a first channel frequency response of a channel over a first frequency spectrum, where the first channel frequency response is generated in response to a transmission over the channel or a simulation thereof; and generating an estimate of a second channel frequency response of the channel over a second frequency spectrum in response to applying the channel response data to a machine-learning model, where the second frequency spectrum is different to the first frequency spectrum.

Abstract: An apparatus, method and computer program is described comprising: combining first features extracted from an echo signal using a convolutional encoder of a convolutional encoder-decoder having first weights, wherein the echo signal is obtained in response to a transmission over a channel or a simulation thereof; and using a convolutional decoder of the convolutional encoder-decoder to generate an estimate of a frequency response of the channel based on the echo signal, wherein the convolutional decoder has second weights.

Abstract: Embodiments of the present disclosure relate to an apparatus including means configured to perform: obtaining a measured channel frequency response, and a measured noise power spectral density for a line of a wired network susceptible to an impairment; deriving, in case of an indication of an impairment present on the line, from the measured channel frequency response and the measured noise power spectral density, a first theoretical noise representation for the line with the impairment and a second theoretical noise representation for the line without the impairment; and determining information indicative of a location of the impairment in the line, by processing the measured noise power spectral density, the first theoretical noise representation, and the second theoretical noise representation with a neural network.

Abstract: A system for diagnosing noise impacting impairments affecting a Digital Subscriber Line includes at least one processor and at least one memory storing instructions. The at least one memory and the instructions configured to, with the at least one processor, cause the system at least to, receive noise sequences for said Digital Subscriber Line; detect noise symptoms in said noise sequences and identify noise impacting impairments associated with said noise symptoms using a trained machine learning model; and determine an impact on said Digital Subscriber Line of a plurality of noise impacting impairments.

Abstract: Embodiments relate to an apparatus comprising means configured for: obtaining echo response data representative of the echo response of a communication line, wherein the echo response data specifies the echo response based on two dimensions and includes first dimension data and second dimension data, determining at least one property of the communication line based on processing the echo response data with a neural network, wherein the neural network comprises at least: a first convolutional branch for processing the first dimension data, a second convolutional branch for processing the second dimension data, a dense part for processing the outputs of the first and second convolutional branches.

Abstract: Embodiments for dynamic bandwidth allocation in cloud network switches in a cloud computing environment are provided. Quality of service (QoS) policies may be dynamically changed in one or more cloud network switches based on dynamically estimating expected traffic demands for each of a plurality of traffic classes, wherein bandwidth is dynamically allocated among queues based on changing the QoS policies.

Abstract: An optical switch fabric comprises two or more optical switch elements. The optical switch elements are configured in a topology. A switch control has a plurality of bias control signals. The switch control can address one or more of the optical switch elements and can apply one of the bias control signals to bias of the addressed optical switch element to establish a switch setting. The topology and switch settings determine how each of one of the inputs is connected to each of one of the outputs of the optical switch fabric. The switch settings are determined by a machine learning process which includes a model creation. The model can be made to adapt dynamically during optical switch fabric operation.

Abstract: A method of finding an unknown molecular dynamics state includes receiving input molecular dynamics simulation data, determining a current layer of data from the input molecular dynamics simulation data, separating abnormal data from the current layer of data, extracting a targeted state using the abnormal data, and separating targeted state data from the current layer of data using the targeted state

Abstract: Embodiments relate to an apparatus for monitoring a telecommunication network including one or more telecommunication channels. The apparatus includes a processor configured after executing computer code to design a convolutional neural network configured for determining an impairment type of a telecommunication channel as a function of a channel frequency response of the telecommunication channel, by selecting at least one of a number of convolutional layers, a number of filters for respective convolutional layers, and/or a size of filters for respective convolutional layers; and train the convolutional neural network based on training data specifying, for respective telecommunication channels, a channel frequency response and an associated impairment type.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate rotated polarization detection and adjustment are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an optical component that can comprise a polarization monitor component that can detect a rotated polarization state of an optical signal. The computer executable components can further comprise a second optical component that can comprise a polarization controller component that can control a rotation polarization state of the second optical component. The computer executable components can further comprise a feedback loop component that can couple the polarization monitor component to the polarization controller component.

Abstract: Techniques that facilitate control of dual phase tuners are provided. In one example, a system includes a first phase tuner and a second phase tuner. The first phase tuner is driven to a first phase bias that is different than a desired phase bias for an interferometer. The second phase tuner is driven to a second phase bias. A combination of the first phase bias and the second phase bias corresponds to the desired phase bias.

Abstract: A programmable logic circuit (10) for controlling an electrical facility, in particular a nuclear facility, includes an operating unit (14). The operating unit includes a plurality of types of functional blocks (FB1, FBi, FBN), two distinct types of functional blocks being suitable for executing at least one distinct function, at least one processing module suitable for receiving at least one sequence (46) of functional block(s) to be executed, and at least one internal memory (38) configured to store at least said sequence (46). The programmable logic circuit (10) includes a single functional block of each type, a given functional block being suitable for being called several times, and an execution module (22) configured to execute the called functional block(s) in series, according to said sequence (46).

Abstract: The apparatus includes a memory configured to store executable code; and a processor configured to execute the executable code and cause the apparatus to perform the operations of generating and training. The generating generates a dataset specifying, for a plurality of communication lines, i) a channel frequency response of a communication line having one or two bridged taps, and ii) a set of M lengths of bridged taps associated with the communication line, with M greater than one. The training trains, based on the dataset, a machine learning model, the machine learning model configured for determining, based on the channel frequency response of a communication line, a set of M lengths of bridged taps associated with the communication line.

Abstract: Embodiments relate to a method and an apparatus for predicting the bitrate of a repaired communication channel. The method may include, generating a dataset specifying, for a plurality of communication channels, a channel frequency response of a communication channel affected by an impairment, and a channel frequency response of the communication channel non-affected by the impairment, training, based on the dataset, a machine learning model configured to predict a channel frequency response of the repaired communication channel based on the channel frequency response of the communication channel affected by an impairment.

Abstract: The present invention relates to an assembly (10) for attaching a data storage device (12) to an on-board computer including an encapsulation structure (17), and a receiving structure (18) for receiving the encapsulation structure (17) comprising a first connector complementary to a connector of the storage device and a second connector complementary to a connector of the onboard computer. The encapsulation structure (17) and the storage device (12) mounted therein are movable relative to the receiving structure (18) between an inserted configuration in which the encapsulation structure (17) and the storage device (12) are inserted into the receiving structure (18) and the connector of the storage device (12) is connected to the first connector, and a removed configuration in which the encapsulation structure (17) and the storage device (12) are removed from the receiving structure (18).

Abstract: Optical switches and methods of switching include a first hybrid coupler configured to accept an input and to provide two branches. A phase tuner on a first branch includes a Mach-Zehnder phase shifter configured to shift a signal on the first branch by a selected phase. A loss compensator on a second branch is configured to match a loss incurred on the first branch. A second hybrid coupler is configured to recombine the two branches such that the phase shift generated by the phase tuner determines which output of the second hybrid coupler is used.

Abstract: Techniques that facilitate control of dual phase tuners are provided. In one example, a system includes a first phase tuner and a second phase tuner. The first phase tuner is driven to a first phase bias that is different than a desired phase bias for an interferometer. The second phase tuner is driven to a second phase bias. A combination of the first phase bias and the second phase bias corresponds to the desired phase bias.

Abstract: Methods and systems for bias control in an optical switch fabric include monitoring optical power at outputs of a plurality of switch elements in an N×N switch fabric that has N inputs, N outputs, and M?2 stages, each switch element having a respective unique radio frequency tone. A bias control of each of the plurality of switch elements is adjusted. It is determined whether the optical power at the outputs of each respective switch element after bias control adjustment conform more closely to a predetermined criterion relative to the monitored optical power at the outputs of the respective switch element prior to adjustment.

Abstract: Optical switches include a phase shifter on a first branch, a first heater on the first branch, and a second heater on a second branch. A hybrid coupler combines the first branch and the second branch. A first photodetector and a second photodetector are at outputs of the second hybrid coupler to measure crosstalk between the outputs of the second hybrid coupler. A controller is configured to activate the first heater or the second heater to reduce the measured crosstalk.