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: Disclosed herein is an apparatus for providing one or more performance characteristics of a physical layer for Discrete Multi-Tone, DMT, based communication. The apparatus comprises means for receiving one or more first inputs, each first input indicative of a parameter associated with the physical layer. The apparatus comprises means for receiving one or more second inputs, each second input indicative of a performance characteristic of the physical layer, to be output. The apparatus comprises means for selecting, based on the one or more second inputs, one or more processing modules of a digital twin of the physical layer carrier data. The apparatus comprises means for determining, using the selected one or more processing modules and the one or more first inputs, the one or more performance characteristics. The apparatus comprises means for providing the one or more performance characteristics as output. A method and computer program are also disclosed.

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: An apparatus, method and computer program is described as obtaining forwarded traffic volume data and discarded traffic volume data of a point-to-multipoint communication network in each of a plurality of discrete time periods over an observation period; generating calibrated forwarded and discarded traffic volume data, wherein calibration data is dependent on a calibration level; filtering, by applying signal processing techniques, multiple instances of said calibrated forwarded and discarded traffic volume data; identifying first sample periods within said observation period; and determining impact scores for the forwarded and discarded traffic volume data for each of said one or more first sample periods.

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: An apparatus, method and computer program is described as obtaining forwarded traffic volume data and discarded traffic volume data of a point-to-multipoint communication network in each of a plurality of discrete time periods over an observation period; generating calibrated forwarded and discarded traffic volume data, wherein calibration data is dependent on a calibration level; filtering, by applying signal processing techniques, multiple instances of said calibrated forwarded and discarded traffic volume data; identifying first sample periods within said observation period; and determining impact scores for the forwarded and discarded traffic volume data for each of said one or more first sample periods.

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: An apparatus, method and computer program provide for obtaining channel response data including a channel frequency response of a channel over a frequency spectrum, wherein the channel frequency response is generated in response to a transmission over the channel or a simulation thereof; and generating an indication of channel impairments in response to applying the channel response data to a transformer-based machine-learning (ML) model trained to predict a channel impairment estimate.

Abstract: An apparatus, method and computer program is described comprising: obtaining channel response data comprising 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: 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: 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: 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: 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: 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: 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 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.