Abstract: A medical device that includes a handle, a sheath extending from the handle, and a tool within the sheath and movable relative to the sheath. The handle includes an inner body and an outer body disposed over the inner body. The outer body is movable relative to the inner body. The handle includes a first actuator secured to the tool. The first actuator has an actuated state permitting movement of the tool relative to the sheath in response to moving the outer body relative to the inner body. The handle includes a second actuator secured to the sheath. The second actuator has an actuated state permitting movement of the sheath relative to the tool in response to moving the second actuator relative to the outer body. An unactuated state of the first actuator and an unactuated state of the second actuator prevents movement of the tool relative to the sheath.

Abstract: Methods and systems automatically protect radio network equipment in extreme weather conditions such as sand-storms or snow-storms. A pair of phase-shift material grids having different orientations is installed at an air intake of the radio network equipment. One of the grids is powered to open or close the air intake according to a current amount of air-carried particles entering the radio network equipment and a temperature inside the radio network equipment. The current amount of air-carried particles entering the radio network equipment may be detected by a piezoelectric sensor.

Abstract: A method and a scoring node for estimating a user's Quality of Experience, QoE, when a service is delivered in a media stream to the user by means of a communication network. Quality-related parameters pertaining to the service delivery are extracted, and an individual opinion score is determined for each of a set of quality models by applying each respective quality model in the set on the quality-related parameters. An aggregated opinion score is then determined as a weighted average of the individual opinion scores. The aggregated opinion score can then be used as an estimation of the user's QoE for the service delivery, e.g. when evaluating the service and/or the communication network.

Abstract: Embodiments herein disclose e.g. a method performed by a network node (12) for handling operation in a communication network, wherein the network node comprises at least one power supply unit, and one or more additional power units for supplying power to the network node. The network node (12) obtains an output from a computational model; and sets an output voltage from the at least one power supply unit based on the obtained output.

Abstract: Embodiments herein disclose, e.g., a method performed by a control network node in a communications network for handling machine learning (ML) models in the communications network. The control network node determines whether or not to transmit to a network node in the communications network a ML model based on a signature and/or a loss value of the network node, wherein the signature and/or the loss value is related to ML modelling. In case where it is determined to transmit, the control network node transmits the ML model to the network node.

Abstract: Mechanisms for predicting a multimedia session MOS are provided. The multimedia session has a video session and an audio session. The video quality and the audio quality are represented by vectors of per-time-unit scores of video quality and audio quality, respectively. The multimedia session is represented by a vector of the rebuffering start times of each rebuffering event, and a vector of the rebuffering durations of each rebuffering event. Audiovisual quality features are generated from the vectors of per-time-unit scores of video and audio quality. Buffering features are generated from the vector of rebuffering start times of each rebuffering event and the vector of rebuffering durations of each rebuffering event. A multimedia session MOS is then estimated based on the generated audiovisual quality features and the generated buffering features.

Abstract: A method and radio base station for handling a power disturbance caused by a radio unit of the radio base station. The method comprises: obtaining scheduling information of data traffic associated with the RU; comparing the power disturbance with one or more first thresholds, wherein the power disturbance is caused by the RU adapted to handle the data traffic according to the scheduling information; and adjusting a switching frequency of a direct current to direct current, DC/DC, converter based on the comparison, wherein the DC/DC converter is comprised in the RU to power the RU.

Abstract: Systems and methods are provided for generating a predicted number of viewers in support of selecting an advertisement to be displayed during an advertisement break.

Abstract: A method and radio base station for handling a power disturbance caused by a radio unit of the radio base station. The method comprises: obtaining scheduling information of data traffic associated with the RU; comparing the power disturbance with one or more first thresholds, wherein the power disturbance is caused by the RU adapted to handle the data traffic according to the scheduling information; and adjusting a switching frequency of a direct current to direct current, DC/DC, converter based on the comparison, wherein the DC/DC converter is comprised in the RU to power the RU.

Abstract: A method and a scoring node for estimating a user's Quality of Experience, QoE, when a service is delivered in a media stream to the user by means of a communication network. Quality-related parameters pertaining to the service delivery are extracted, and an individual opinion score is determined for each of a set of quality models by applying each respective quality model in the set on the quality-related parameters. An aggregated opinion score is then determined as a weighted average of the individual opinion scores. The aggregated opinion score can then be used as an estimation of the user's QoE for the service delivery, e.g. when evaluating the service and/or the communication network.

Abstract: It is provided a method, performed by a MOS, Mean Opinion Score, estimator, for predicting a multimedia session MOS. The multimedia comprises a video and an audio, wherein video quality is represented by a list of per time unit scores of a video quality, an initial buffering event and rebuffering events in the video, and wherein audio quality is represented by a list of per time unit scores of audio quality. The method comprises: generating video features from the list of per time unit scores of the video quality; generating audio features from the list of per time unit scores of the audio quality; generating buffering features from the initial buffering event and rebuffering events in the video; and estimating a multimedia session MOS from the generated video features, generated audio features and generated buffering features by using machine learning technique.

Abstract: A method and a scoring node for estimating a user's Quality of Experience, QoE, when a service is delivered in a media stream to the user by means of a communication network. Quality-related parameters pertaining to the service delivery are extracted, and an individual opinion score is determined for each of a set of quality models by applying each respective quality model in the set on the quality-related parameters. An aggregated opinion score is then determined as a weighted average of the individual opinion scores. The aggregated opinion score can then be used as an estimation of the user's QoE for the service delivery, e.g. when evaluating the service and/or the communication network.

Abstract: Methods and systems automatically protect radio network equipment in extreme weather conditions such as sand-storms or snow-storms. A pair of phase-shift material grids having different orientations is installed at an air intake of the radio network equipment. One of the grids is powered to open or close the air intake according to a current amount of air-carried particles entering the radio network equipment and a temperature inside the radio network equipment. The current amount of air-carried particles entering the radio network equipment may be detected by a piezoelectric sensor.

Abstract: It is provided a method, performed by a MOS, Mean Opinion Score, estimator, for predicting a multimedia session MOS. The multimedia comprises a video and an audio, wherein video quality is represented by a list of per time unit scores of a video quality, an initial buffering event and rebuffering events in the video, and wherein audio quality is represented by a list of per time unit scores of audio quality. The method comprises: generating video features from the list of per time unit scores of the video quality; generating audio features from the list of per time unit scores of the audio quality; generating buffering features from the initial buffering event and rebuffering events in the video; and estimating a multimedia session MOS from the generated video features, generated audio features and generated buffering features by using machine learning technique.

Abstract: Systems and methods are provided for generating a predicted number of viewers in support of selecting an advertisement to be displayed during an advertisement break.

Abstract: A medical device that includes a handle, a sheath extending from the handle, and a tool within the sheath and movable relative to the sheath. The handle includes an inner body and an outer body disposed over the inner body. The outer body is movable relative to the inner body. The handle includes a first actuator secured to the tool. The first actuator has an actuated state permitting movement of the tool relative to the sheath in response to moving the outer body relative to the inner body. The handle includes a second actuator secured to the sheath. The second actuator has an actuated state permitting movement of the sheath relative to the tool in response to moving the second actuator relative to the outer body. An unactuated state of the first actuator and an unactuated state of the second actuator prevents movement of the tool relative to the sheath.

Abstract: Mechanisms for predicting a multimedia session MOS are provided. The multimedia session has a video session and an audio session. The video quality and the audio quality are represented by vectors of per-time-unit scores of video quality and audio quality, respectively. The multimedia session is represented by a vector of the rebuffering start times of each rebuffering event, and a vector of the rebuffering durations of each rebuffering event. Audiovisual quality features are generated from the vectors of per-time-unit scores of video and audio quality. Buffering features are generated from the vector of rebuffering start times of each rebuffering event and the vector of rebuffering durations of each rebuffering event. A multimedia session MOS is then estimated based on the generated audiovisual quality features and the generated buffering features.

Abstract: A method and a scoring node for estimating a user's Quality of Experience, QoE, when a service is delivered in a media stream to the user by means of a communication network. Quality-related parameters pertaining to the service delivery are extracted, and an individual opinion score is determined for each of a set of quality models by applying each respective quality model in the set on the quality-related parameters. An aggregated opinion score is then determined as a weighted average of the individual opinion scores. The aggregated opinion score can then be used as an estimation of the user's QoE for the service delivery, e.g. when evaluating the service and/or the communication network.

Abstract: There are provided mechanisms for predicting a multimedia session MOS. The multimedia session comprises a video session and an audio session, wherein video quality is represented by a vector of per-time-unit scores of video quality and wherein audio quality is represented by is a vector of per-time-unit scores of audio quality. The multimedia session is represented by a vector of rebuffering start times of each rebuffering event, a vector of rebuffering durations of each rebuffering event, and an initial buffering duration being the time between an initiation of the multimedia session and a start time of the multimedia session. The method comprises generating audiovisual quality features from the vector of per-time-unit scores of video quality and the vector of per-time-unit scores of audio quality.

Abstract: A method and a scoring node for estimating a user's Quality of Experience, QoE, when a service is delivered in a media stream to the user by means of a communication network. Quality-related parameters pertaining to the service delivery are extracted, and an individual opinion score is determined for each of a set of quality models by applying each respective quality model in the set on the quality-related parameters. An aggregated opinion score is then determined as a weighted average of the individual opinion scores. The aggregated opinion score can then be used as an estimation of the user's QoE for the service delivery, e.g. when evaluating the service and/or the communication network.