Abstract: It is inter-alia disclosed a method comprises: obtaining or holding available at least one training set of radio signal observation results, wherein a respective training set of radio signal observation results is held available in association with identification information of a corresponding area of interest on a site, wherein a respective training set of radio signal observation results is captured at a corresponding observation position within a corresponding area of interest on said site; obtaining or holding available area of interest information indicating whether at least one tracking device has been determined to have entered and/or to have been located within a corresponding area of interest on the site; obtaining or holding available current radio signal observation data of a current tracking device representing one or more current sets of radio signal observation results captured by a radio interface of the current tracking device when present on said site, wherein a respective current set of r

Abstract: The techniques disclosed herein include a first device including one or more processors configured to detect a selection of at least one target object external to the first device, and initiate a channel of communication between the first device and a second device associated with the at least one target object external to the first device. The one or more processors may be configured to receive audio packets, from the second device, in response to the selection of at least one target object external to the device, decode the audio packets, received from the second device, to generate an audio signal. The one or more processors may be configured to output the audio signal based on the selection of the at least one target object external to the first device. The first device includes a memory, coupled to the one or more processors, configured to store the audio packets.

Abstract: A method performed by a server for assisting a radio network node to handle a set of positioning assistance data for positioning one or more User Equipments, UEs, in a wireless communications network is provided. Based on importance, the server determines a priority associated to the respective positioning assistance data out of the set of positioning assistance data. The server assists the radio network node by sending the set of positioning assistance data, and information about the determined priority associated to the respective positioning assistance data. The determined priority enables the radio network node to determine a schedule for broadcast of at least some of the respective positioning assistance data out of the set of positioning assistance data, in respect to available resources in the radio network node.

Abstract: Iterative prediction systems and methods for the task of action detection process an inputted sequence of video frames to generate an output of both action tubes and respective action labels, wherein the action tubes comprise a sequence of bounding boxes on each video frame. An iterative predictor processes large offsets between the bounding boxes and the ground-truth.

Abstract: Systems and methods to track the respective locations of subjects over time. The system identifies subjects who, overtime, were co-located with one another suggesting they are associated with one another, and the pairs are analyzed. For each of the subjects, the system produces a vector that quantifies the subject's location history by including a respective weight for each combination of a time interval with a geographical area. The vectors are compared using a distance metric, and any pair of subjects whose vectors are sufficiently close are flagged as being an associated pair. The respective vector belonging to each subject is normalized to account for the total number of other subjects who were co-located with the subject. For each interval-area pair, the system may compute the frequency of the interval-area pair, and then divide each weight that corresponds to the interval-area pair by the frequency of the interval-area pair.

Abstract: A wireless communications system may support beamforming to transmit and receive signals. A device operating within the wireless communications system may transmit a request to measure a beamformed reference signal. The device may also transmit a beamforming configuration indicating one or more beamforming options for measuring the beamformed reference signal. The beamforming options may include measuring the beamformed reference signal using a directional configuration and an omni-directional configuration. The device receiving the beamforming configuration may form a receive beam in accordance with the beamforming configuration to measure the beamformed reference signal. A device operating within the wireless communications system may determine to use a particular beamforming option for measuring a beamformed reference signal without first receiving a beamforming configuration, and may make the determination based on signal quality at the device or capabilities of the device.

Abstract: A mapping method is disclosed that includes (i) memorizing at least one reference image of an environment to be mapped containing a specific arrangement of a plurality of markers organized in cells; wherein each cell is identified by a marker or by a combination of markers; the plurality of markers comprising at least a number of different types of markers equal to a type-number; (ii) detecting, by a moving video camera, a video sequence wherein the environment to be mapped is, at least in part, framed; (iii) identifying in at least one frame of the video sequence one or more cells being part of the specific arrangement of markers of the reference image; and (iv) calculating, on the basis of the data regarding the identified cells, at least one homography for the perspective transformation of the coordinates acquired in the video sequence into coordinates in the reference image and vice versa.

Abstract: Disclosed herein are examples embodiments of a progressive modeling scheme to enhance optical sensor transformation networks using both in-field sensor measurements and simulation data. In one aspect, a method includes receiving optical sensor measurements generated by one or more downhole optical sensors in a wellbore; determining synthetic data for fluid characterization using an adaptive model and the optical sensor measurements; and applying the synthetic data to determine one or more physical properties of a fluid in the wellbore for which the optical sensor measurements are received.

Abstract: The present disclosure discloses a mobile terminal, including a case forming a portion of an appearance; a circuit board disposed inside the case; a flexible printed circuit board electrically connected to the circuit board; a first connector mounted on the circuit board; a second connector mounted on the flexible printed circuit board and fastened to the first connector; and a first antenna having array elements mounted on the flexible printed circuit board, wherein the first antenna is disposed to face a side surface of the case to radiate beam-formed wireless signals through the side surface adjacent to one side of the circuit board.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating modified digital images based on verbal and/or gesture input by utilizing a natural language processing neural network and one or more computer vision neural networks. The disclosed systems can receive verbal input together with gesture input. The disclosed systems can further utilize a natural language processing neural network to generate a verbal command based on verbal input. The disclosed systems can select a particular computer vision neural network based on the verbal input and/or the gesture input. The disclosed systems can apply the selected computer vision neural network to identify pixels within a digital image that correspond to an object indicated by the verbal input and/or gesture input. Utilizing the identified pixels, the disclosed systems can generate a modified digital image by performing one or more editing actions indicated by the verbal input and/or gesture input.

Abstract: Disclosed are methods, systems, devices, servers, apparatus, computer-/processor-readable media, and other implementations, including a method that includes receiving by a device a triggering message from an emergency call server responsive to an indication of an emergency condition at the device to trigger a tracking session to periodically collect and send tracking session data associated with the device to one or more servers, establishing the tracking session, separate from an emergency call session established between the device and the emergency call server, with the one or more servers, and sending, by the device to the one or more servers, the tracking session data collected during the tracking session by the device.

Abstract: A training system for a neural network system and method of training is disclosed. The method may comprise: receiving, from a sensor, an image frame captured while an operator is controlling a vehicle; using an eye-tracking system associated with the sensor, monitoring the eyes of the operator to determine eyeball gaze data; determining, from the image frame, a plurality of pedestrians; and iteratively training the neural network system to determine, from among the plurality of pedestrians, the one or more target pedestrians using the eyeball gaze data and an answer dataset that is based on the eyeball gaze data, wherein the determined one or more target pedestrians have a relatively-higher probability of collision with the vehicle than a remainder of the plurality of pedestrians.

Abstract: A network redirection method and a terminal are provided. In the embodiments of the present invention, an access network device delivers network switching instruction information used for redirection to a terminal. The network switching instruction information instructs the terminal to obtain a core network type of a target core network of redirection to access a target core network based on the core network type. Network switching between different types of core networks can be implemented without depending on interfaces between the different types of core networks, thereby improving reliability of network switching between different types of core networks.

Abstract: A core network device receives a fallback identifier from an access network device in a first radio access network when radio access technology (RAT) of a terminal is falling back from RAT of the first radio access network to RAT of a second radio access network. The first radio access network is a 5G network, and the second radio access network is a 4G network. The core network device determines, according to the fallback identifier, that the fallback of the RAT of the terminal from the RAT of the first radio access network to the RAT of the second radio access network is for establishing a voice service under the second radio access network. After the RAT of the terminal falls back from the RAT of the first radio access network to the RAT of the second radio access network, the core network device establishes a bearer/flow for the voice service.

Abstract: According to one embodiment, an apparatus includes a processor and a memory. The processor performs a learning process of a neural network including a batch normalization layer. The processor sets up the neural network. The processor updates, in the learning process, a weight parameter and a normalization parameter, used in the normalization of the batch normalization layer, alternately or at different timings.

Abstract: An object identification system on a mobile work machine receives an object detection sensor signal from an object detection sensor, along with an environmental sensor signal from an environmental sensor. An object identification system generates a first object identification based on the object detection sensor signal and the environmental sensor signal. Object behavior is analyzed to determine whether the object behavior is consistent with the object identification, given the environment. If an anomaly is detected, meaning that the object behavior is not consistent with the object identification, given the environment, then a secondary object identification system is invoked to perform another object identification based on the object detection sensor signal and the environmental sensor signal. A control signal generator can generate control signals to control a controllable subsystem of the mobile work machine based on the object identification or the secondary object identification.

Abstract: Apparatuses, methods, and systems are disclosed for reporting transmission for discontinuous reception. One method includes determining whether a symbol occurs within a discontinuous reception on duration time period. The method includes, in response to determining that the symbol occurs within the discontinuous reception on duration time period, determining whether to transmit a report. The method includes transmitting the report regardless of whether a discontinuous reception on duration timer is running.

Abstract: A method and apparatus are disclosed. In an example from the perspective of a first device configured to discontinuously monitor one or more sidelink control channels, the first device performs a first sidelink transmission to a second device. In response to the first sidelink transmission, the first device starts or restarts a timer. The first device monitors a first sidelink control channel, from at least the second device, when the timer is running.

Abstract: In one embodiment, a device in a network receives a machine learning encoder and decoder trained by a supervisory service. The service trains the encoder and decoder using vibration measurement data sent to the service by a plurality of devices. The device trains, based on the received encoder, a classifier to determine whether vibration measurement data is indicative of a behavioral anomaly. The device receives vibration measurement data captured by a particular set of one or more vibration sensors of a monitored system. The device evaluates, using the trained decoder, the received vibration measurement data to determine whether the data is indicative of a structural anomaly in the monitored system. The device evaluates, using the trained classifier, the received vibration measurement data to determine whether the data is indicative of a behavioral anomaly in the monitored system.

Abstract: A method and a device for signal transmission are provided, the method comprising: a terminal device determining a QCL relationship between a paging related signal and an energy saving signal, wherein the paging related signal comprises a physical downlink control channel (PDCCH) for scheduling a paging message and/or a physical downlink shared channel (PDSCH) carrying the paging message; and the terminal device receiving the energy saving signal on the basis of the QCL relationship, or the terminal device receiving the paging related signal on the basis of the QCL relationship.