Abstract: A method includes receiving, by a processor, a video of an illuminated face. Video frames in the video are associated with different time instants of a time series, respectively. The method includes determining a region of interest (ROI) that includes a closed eye on the face based on at least one frame in a plurality of video frames in the video. The method includes slicing each ROI based on slice parameters for selecting a vertical slice that includes a eye centroid of the closed eye, and selecting a horizontal slice that intersects the vertical slice at a pivot (P) located lp pixels from the eye centroid. The method includes determining an eyeball motion signal according to the time series, based on a measured value of a shadow intensity of the eye within at least one of the vertical slice or the horizontal slice at each of the different time instants.

Abstract: A sleep monitoring apparatus includes a plurality of sensor modules, a transceiver, and a processor operatively coupled with the plurality of sensor modules and the transceiver. The processor is configured to receive, from the plurality of sensor modules, raw sensor data for each of the plurality of sensor modules related to a sleep session of a user of the sleep monitoring apparatus, and perform raw data fusion of the raw sensor data. The raw data fusion generates a fused raw data signal. The processor is further configured to, based on the fused raw data signal, perform feature extraction for the plurality of sensor module; based on the feature extraction, perform feature fusion for the plurality of sensor modules; based on the feature fusion, perform decision fusion for the plurality of sensor modules; and determine a sleep stage of the user based on the decision fusion.

Abstract: A system and method of a base station are configured to enable a multi-shot network parameter optimization. The method includes generating one or more specified Key Performance Indicators (KPI) constraints based on a selected set of KPIs. The method also includes adjusting common beam parameters to tune a common beam based on the selected set of KPIs. The common beam is tuned to satisfy the one or more specified KPI constraints. The method also includes adjusting handover A2 and A5 parameters based on searching within a three-dimensional space defined by specified A2 and A5 thresholds. The method further includes transmitting one or more signals based on the adjusted the common beam parameters and the adjusted handover A2 and A5 parameters.

Abstract: Methods and apparatuses for voice over long-term evolution/voice over new radio (VoLTE/VoNR) performance for a cellular communication system. A method of operating a base station includes receiving, from a user equipment (UE), uplink (UL)signals; identifying, based on the UL signals, a first and second parameters; determining first and second UL power control parameters based on the first and second parameters, respectively; determining a first time period for the first UL power control parameter and a second time period for the second UL power control parameter, wherein the first time period is longer than the second time period; updating the first UL power control parameter based on the first time period and the second UL power control parameter based on the second time period; and transmitting, to the UE, the updated first and second UL power control parameters for an UL transmit power of the UE.

Abstract: A system and method of a base station are configured to enable a multi-shot network parameter optimization. The method includes generating one or more specified Key Performance Indicators (KPI) constraints based on a selected set of KPIs. The method also includes adjusting common beam parameters to tune a common beam based on the selected set of KPIs. The common beam is tuned to satisfy the one or more specified KPI constraints. The method also includes adjusting handover A2 and A5 parameters based on searching within a three-dimensional space defined by specified A2 and A5 thresholds. The method further includes transmitting one or more signals based on the adjusted the common beam parameters and the adjusted handover A2 and A5 parameters.

Abstract: A lightning resistive bush body includes a cylindrical bush body. The bush body is composed of an inner insulative layer, a center electric-magnetic absorbing metal layer and an outer insulative layer, wherein the inner insulative layer, the center electric-magnetic absorbing metal layer and the outer insulative layer is integrated, and the center electric-magnetic absorbing is provided between the inner insulative layer and the outer insulative layer, and two axial edges of the center electric magnetic absorbing metal layer shape having radial openings.

Abstract: A lightning resistive bush body includes a cylindrical bush body body. The bush body is composed of an inner insulative layer, a center electric-magnetic absorbing metal layer and an outer insulative layer, wherein the inner insulative layer, the center electric-magnetic absorbing metal layer and the outer insulative layer is integrated, and the center electric-magnetic absorbing is provided between the inner insulative layer and the outer insulative layer, and two axial edges of the center electric magnetic absorbing metal layer shape having radial openings.