Abstract: Provided is a cognitive impairment diagnosis method including: receiving an electroencephalogram signal of a user by a cognitive impairment diagnosis device; preprocessing the electroencephalogram signal by the cognitive impairment diagnosis device; extracting features, by the cognitive impairment diagnosis device, from the electroencephalogram signal by using a brain connectivity-based analysis method; and outputting cognitive impairment diagnosis information of the user by the cognitive impairment diagnosis device, on the basis of features having a causal relationship with the cognitive impairment diagnosis information, among the extracted features.

Abstract: A face authentication apparatus includes a face image acquisition unit that acquires a face image of an authentication target, a collation unit that performs face authentication by calculating similarity between face information of the face image of the authentication target and reference face image of each registered user and comparing the similarity with a threshold, a prediction unit that predicts a change in the similarity on the basis of similarity history on authentication success, and a threshold change unit that changes the threshold on the basis of the prediction result.

Abstract: Provided are a data processing method for multi-sensor fusion, a positioning apparatus and a VR device. The method includes: calculating a pose of a physical center by using data of at least one sensor set in a first positioning period; obtaining the predicted pose of the physical center according to an inertial navigation of the pose of the physical center; calculating a three-dimensional coordinate pose of each sensor set in a second positioning period; calculating, based on the three-dimensional coordinate pose, third inertial navigation data of each sensor set in the second positioning period; obtaining the converted poses of the physical center respectively through the third inertial navigation data and a pose relationship between each sensor and the physical center; and obtaining the predicted pose of each sensor set based on the converted poses of the physical center.

Abstract: Embodiments described herein provide for system and methods to crowdsource the location of wireless devices and accessories that lack a connection to a wide area network. One embodiment provides for a data processing system configured to perform operations comprising loading a user interface on an electronic device, the user interface to enable the determination of a location of a wireless accessory that is associated with the electronic device, generating a set of public keys included within a signal broadcast by the wireless accessory, the signal broadcast during a first period, sending the set of public keys to a server with a request to return data that corresponds with a public key in the set of public keys, decrypting the location data using a private key associated with the public key, and processing the location data to determine a probable location for the wireless accessory.

Abstract: Apparatuses, methods, and systems are disclosed for determining a power headroom report. One method includes determining a power headroom report for transmission on a physical uplink shared channel resource corresponding to a configured grant. The method includes transmitting the power headroom report on the physical uplink shared channel resource, wherein: determining the power headroom report comprises determining whether the power headroom report is based on a real transmission or a reference format based on signaling for configured grants and downlink control information received up until a predetermined time before a first uplink symbol of the physical uplink shared channel resource; and the predetermined time is computed based on: a first parameter set to zero; and a subcarrier spacing of an active downlink bandwidth part of a scheduling cell for the configured grant.

Abstract: Systems and methods are provided for using automated mobile computing device testing to ensure that a given targeted message is actually appearing in an intended manner for various types of intended recipients. The intended content or format of a target message to be presented by each of a plurality of mobile computing devices may be based on characteristics of each device. The targeted message may be sent to each device, and an indication of the actual content and/or format of the targeted message as presented by each device may be received and compared to the intended content or format of the targeted message for each device. Errors associated with the targeted message may be detected based on any discrepancies between the intended content and/or format of the targeted message for each device and the actual content or format of the targeted message as presented by each device.

Abstract: The disclosed method and an apparatus are directed to determine an uplink transmission power in New Radio (NR) systems by a wireless transmit/receive unit (WTRU) for transmitting at least one physical uplink shared channel (PUSCH), using multiple beams toward multiple Tx/Rx points (TRPs). The method includes determining common parameters that are common to the multiple beams. The method also includes determining beam-specific parameters like a configurable fractional power compensation factor for each beam, and a configurable maximum transmit power level for each beam, which are determined dynamically or semi-statically based on deployment, WTRU mobility, or interference level. The method further includes transmitting at least one codeword using at least one of the multiple beams, each of the multiple beams having a transmission power calculated based on the common parameters and the beam-specific parameters.

Abstract: A method for uplink (UL) power control of a User Equipment (UE) in a wireless communication system according to one embodiment of the present invention comprises receiving a Downlink (DL) Reference Signal (RS); measuring DL path-loss by using the DL RS; determining transmission power for an UL channel by using the measured path-loss; and transmitting the UL channel, wherein the DL RS used for determining the transmission power for the UL channel is determined based on configuration information indicated by a base station.

Abstract: Embodiments described herein include radio frequency (RF) switches that may provide increased power handling capability. In general, the embodiments described herein can provide this increased power handling by equalizing the voltages across transistors when the RF switch is open. Specifically, the embodiments described herein can be implemented to equalize the source-drain voltages across each field effect transistor (FET) in a FET stack that occurs when the RF switch is open and not conducting current. This equalization can be provided by using one or more compensation circuits to couple one or more gates and transistor bodies in the FET stack in a way that at least partially compensates for the effects of parasitic leakage currents in the FET stack.

Abstract: A method for influencing a system for monitoring alertness of an operator when operating a device includes providing one or more representations of features of the operator in a detection region of the system, where each of the one or more representations reproduces at least one feature of the operator and where the influencing is based on the detection of the one or more representations by the system.

Abstract: A method is disclosed for performing extension mobility via a headset connection. The method includes receiving a headset identifier from a headset. Also, the method includes, in response to receiving the headset identifier, sending the headset identifier to a device management server. Further, the method includes receiving a call control user identifier from the device management server, and sending, to a call control server, the call control user identifier. Still yet, the method includes receiving, from the call control server, a configuration profile associated with the call control user identifier. One or more settings of a desk phone are configured using the configuration profile.

Abstract: A terminal for communicating with a base station apparatus is disclosed, the terminal including a controller that sets maximum transmission power based on an Effective Isotropic Radiated Power (EIRP) of the terminal; and a transmitter that transmits an uplink signal based on the maximum transmission power. In other aspects, a communication method by a terminal for communicating with a base station apparatus is also disclosed.

Abstract: Aspects of the disclosure can provide method for identifying a face where multiple images to be identified are received. Each of the multiple images includes a face image part. Each face image of face images in the multiple images to be identified is extracted. An initial figure identification result of identifying a figure in the each face image is determined by matching a face in the each face image respectively to a face in a target image in an image identification library. The face images are grouped. A target figure identification result for each face image in each group is determined according to the initial figure identification result for the each face image in the each group.

Abstract: There is provided mechanisms for calibration of an eye tracking system. An eye tracking system comprises a pupil centre corneal reflection (PCCR) based eye tracker and a non-PCCR based eye tracker. A method comprises obtaining at least one first eye position of a subject by applying the PCCR based eye tracker on an image set depicting the subject. The method comprises calibrating a head model of the non-PCCR based eye tracker, as applied on the image set, for the subject using the obtained at least one first eye position from the PCCR based eye tracker as ground truth. The head model comprises facial features that include at least one second eye position. The calibrating involves positioning the head model in order for its at least one second eye position to be consistent with the at least one first eye position given by the PCCR based eye tracker.

Abstract: The present disclosure relates to a method, a device, and a computer program product for model updating. The method includes: acquiring a first image set and first annotation information, wherein the first annotation information indicates whether a corresponding image in the first image set includes a target object; updating a first version of an object verification model using the first image set and the first annotation information to obtain a second version, wherein the first version of the object verification model has been deployed to determine whether an input image includes the target object; determining the accuracy of the second version of the object verification model; and updating, if it is determined that the accuracy is lower than a preset accuracy threshold, the second version of the object verification model using a second image set and second annotation information to obtain a third version of the object verification model.

Abstract: A method is performed by a computer. The method includes obtaining motion data indicating a motion change of a work vehicle, and determining an operation classification of the work vehicle from the motion data by performing image classification using a trained classification model. The motion data is generated from a plurality of images indicating the work vehicle in operation in time series.

Abstract: Disclosed is a process for performance monitoring and feedback for facial recognition systems. A first image for image matching from a camera capture device at a first location is received for purposes of image matching. A highest match confidence score of the first image to a particular stored enrollment image is determined. One or more image or user characteristics associated with the first image or first user is identified. The identified image or user characteristics and highest match confidence score are added to a facial recognition monitoring and feedback model. Subsequently, a particular one of the stored image or user characteristics consistently associated with a below-threshold highest match confidence score is identified, and a notification is displayed or transmitted including an indication of an identified facial recognition low match pattern and identifying the particular one of the stored image characteristics or user characteristics.

Abstract: A control device includes a specifying unit that specifies one of a plurality of detection objects on the basis of a state of an industrial vehicle when the plurality of detection objects are detected around the industrial vehicle, and a control unit that causes a notification to be performed for the one detection object specified by the specifying unit in an aspect different from those of other detected detection objects.

Abstract: A terminal for communicating with a base station apparatus is disclosed, the terminal including a controller that sets maximum transmission power based on an Effective Isotropic Radiated Power (EIRP) of the terminal; and a transmitter that transmits an uplink signal based on the maximum transmission power. In other aspects, a communication method by a terminal for communicating with a base station apparatus is also disclosed.

Abstract: Techniques for determining a location of a vehicle in an environment using sensors and determining calibration information associated with the sensors are discussed herein. A vehicle can use map data to traverse an environment. The map data can include semantic map objects such as traffic lights, lane markings, etc. The vehicle can use a sensor, such as an image sensor, to capture sensor data. Semantic map objects can be projected into the sensor data and matched with object(s) in the sensor data. Such semantic objects can be represented as a center point and covariance data. A distance or likelihood associated with the projected semantic map object and the sensed object can be optimized to determine a location of the vehicle. Sensed objects can be determined to be the same based on matching with the semantic map object. Epipolar geometry can be used to determine if sensors are capturing consistent data.