Abstract: Embodiments include methods for identifying communications network performance management (PM) data that is explanatory of prediction target information. Such methods include obtaining a time series of PM data representing performance of the communication network at a plurality of periodic time instances over a first duration, and based on the time series of PM data, computing a plurality of models representing a corresponding plurality of statistical characteristics of the time series of PM data. Such methods also include computing projections of the models onto the time series of PM data, and based on the projections, selecting one or more of the models that are most explanatory of the prediction target information. Various examples of time series of PM data and target information are disclosed. Other embodiments include computing apparatus configured to perform such methods.

Abstract: A method is provided. The method includes generating a first data by using a first decoder model with a first set of target features, wherein the first decoder model is based on the first source domain. The method includes updating a final set of target features and final data based on the generated first data. The method includes generating a second data by using a second decoder model with a second set of target features, wherein the second data that is generated is conditioned on the first set of target features and wherein the second decoder model is based on the second source domain. The method includes updating the final set of target features and final data based on the generated second data. The method includes training a target-domain model using the final data and the final set of target features.

Abstract: There is provided a method comprising: acquiring (110) sensor data related to an object; using the first learning module, identifying (120) the object based on the acquired sensor data using a first learning module and determining (130) a user associated with the identified object; determining (140) a timestamped location of the object based on at least one of the acquired sensor data and one or more locations of the one or more sensors; performing (150) a first analysis to determine whether the current status of the object contains an anomaly based on one or more predefined rules stored in a knowledge base; performing (160) a second analysis to determine whether the current status of the object contains an anomaly, using a second learning module; and validating (170) whether the current status of the object contains an anomaly based on results of the first analysis and results of the second analysis.

Abstract: A method for providing data to a destination node connected to one or more source nodes via one or more networks. In one aspect, the method is performed by a feature identifier for selecting at least one feature from a set of features. The set of features comprises a first feature and a second feature. The method includes, for each feature included in the set of features, obtaining a value indicating a cost of providing the data set for the feature from a source node that stores the data set to a destination node that is connected to the source node via a network. The method also includes, based on the obtained values, selecting a subset of the set of features. The method further includes for each selected feature, initiating the transmission of the respective data set for the respective selected feature from a source node to the destination node. The destination node may execute a machine learning process that is operable to use the respective data sets to produce a model.

Abstract: A multipoint conference unit includes input/output ports to communicate with at least three client terminals via at least three communication channels with each communication channel communicating with one of the at least three client terminals, a memory to store data streams communicated between multipoint conference unit and the client terminals, and a processor to mix data streams received from the client terminals and to store the mixed data streams in the memory. The processor also determines a number of each of three different types of communication channels and selectively implements bandwidth extension to the communication channels based on the determination.

Abstract: A communication device and method provide selective control of a level of buffering of at least one data stream. The communication device includes a jitter buffer (202), a jitter buffer control unit (204) and a user interface (206). An instruction received via an input to a user interface (206) indicates a jitter buffer strategy (510), such as enabling a jitter buffer or setting a size of a jitter buffer, based on the user input. The control unit (204) sets the buffer strategy based in the instruction, and a data stream transmitted via a packet-switched network is received (530) and buffered for play out based on the buffer strategy (540).

Abstract: An apparatus (300) and method (400) provides an adaptive end-to-end (E2E) delay threshold (DT) for one-way transmission of information blocks in an information stream of a conversation. Information streams of the conversation are monitored (410), and the E2E DT duration is determined based on detected occurrences of one or more interactive properties 5 associated with the information streams of the conversation (412). Using the adaptive E2E DT duration value, a determination is made as to whether to perform at least one Quality of Service (QoS) function (416).

Abstract: The invention relates to a method, computer, computer program and computer program product for speech quality estimation. The method comprises the steps of: determining a coding distortion parameter (QCOD), a bandwidth related distortion parameter (BW) and a presentation level distortion parameter (PL) of a speech signal; extracting a first coefficient (?l) and a second coefficient (?2), the first coefficient and the second coefficient being dependent on the coding distortion parameter; and calculating a signal quality measure (Q), where the signal quality measure is QCOD+?1BW+?2PL using the signal quality measure in a quality estimation of the speech signal.

Abstract: A multipoint conference unit includes input/output ports to communicate with at least three client terminals via at least three communication channels with each communication channel communicating with one of the at least three client terminals, a memory to store data streams communicated between multipoint conference unit and the client terminals, and a processor to mix data streams received from the client terminals and to store the mixed data streams in the memory. The processor also determines a number of each of three different types of communication channels and selectively implements bandwidth extension to the communication channels based on the determination.

Abstract: A method for manufacturing a hollow load-bearing beam structure of fiber-reinforced composite material. The method includes preparing a first lay-up of a first plurality of layers, and a second lay-up of a second plurality of layers. The first and second lay-ups are positioned on different sides of a mandrel and formed to a beam structure by bending the lay-ups against the mandrel, such that the side edges of the respective layers of the first and second lay-ups are arranged as offset butt joints in the circumferential direction of the formed beam structure.

Abstract: The invention relates to a method, computer, computer program and computer program product for speech quality estimation. The method comprises the steps of: determining a coding distortion parameter (QCOD), a bandwidth related distortion parameter (BW) and a presentation level distortion parameter (PL) of a speech signal; extracting a first coefficient (?1) and a second coefficient (?2), the first coefficient and the second coefficient being dependent on the coding distortion parameter; and calculating a signal quality measure (Q), where the signal quality measure is QCOD'?1 Bw+(?2, PL,—using the signal quality measure in a quality estimation of the speech signal.

Abstract: An apparatus (300) and method (400) provides an adaptive end-to-end (E2E) delay threshold (DT) for one-way transmission of information blocks in an information stream of a conversation. Information streams of the conversation are monitored (410), and the E2E DT duration is determined based on detected occurrences of one or more interactive properties 5 associated with the information streams of the conversation (412).

Abstract: A communication device and method provide selective control of a level of buffering of at least one data stream. The communication device includes a jitter buffer (202), a jitter buffer control unit (204) and a user interface (206). An instruction received via an input to a user interface (206) indicates a jitter buffer strategy (510), such as enabling a jitter buffer or setting a size of a jitter buffer, based on the user input. The control unit (204) sets the buffer strategy based in the instruction, and a data stream transmitted via a packet-switched network is received (530) and buffered for play out based on the buffer strategy (540).

Abstract: An aircraft panel comprising a sandwich construction with an outer skin portion of high strength material, an inner portion of high strength material and an intermediate core material. The core material includes areas with low density core material and a reinforcement grid of high strength material, with longitudinal and transversal grid members.

Abstract: An aircraft panel comprising a sandwich construction with an outer skin portion of high strength material, an inner portion of high strength material and an intermediate core material. The core material includes areas with low density core material and a reinforcement grid of high strength material, with longitudinal and transversal grid members.