Abstract: The disclosure provides data transmission methods and apparatuses. One example method includes when the terminal device needs to perform the cross-network movement, the terminal device sends a message to a network element of a network accessed by the terminal device, to notify that the terminal device is to perform the cross-network movement from a source network to a target network. Therefore, during the movement of the terminal device, a network side pauses transmission of user plane data of the terminal device, and buffers data that is not sent before the terminal device performs the cross-network movement. After accessing the target network, the network side sends the buffered data to the terminal device.

Abstract: Provided is a device that includes: a monitoring camera that is arranged at an entrance where an electric lock, which can read a unique ID of each key to be used, is installed, a detection unit configured to detect an operation of the electric lock, and a control unit configured to associate the unique ID of a used key with image data captured by the monitoring camera when an operation of the electric lock has been detected.

Abstract: The purpose of the present invention is to provide a hazard prediction method that can perform hazard prediction activities so as to prevent accidents, regardless of skills and personalities of workers.

Abstract: Disclosed embodiments provide a handover prediction scheme that is based on contextual awareness of a compute node, such as a mobile device. The contextual information is used to predict network availability in a predicted target location, which is an area that a compute node is likely to travel. The use of sensors embedded in or accessible by the compute node may be used to carry out aspects of the embodiments. A reinforcement learning recommendation model is used to determine an optimal network, radio access technology, and/or network access node to connect with ahead of arriving at the predicted target location at a predicted arrival time. Other embodiments are described and/or claimed.

Abstract: A driving assistance device includes first acquisition means for acquiring driving status sensing data of a vehicle from a driving status sensing device provided in the vehicle, second acquisition means for acquiring biological information regarding a biological change of a driver of the vehicle, and determination means for determining occurrence of a dangerous event on the basis of a first occurrence index value for a dangerous event that is a value corresponding to the driving status sensing data and a second occurrence index value that is a value corresponding to the biological information of the driver.

Abstract: A method includes controlling a light source to output a first intensity of light while an image-capturing device captures a scene in a first upcoming image frame with a first exposure value setting, controlling the light source to switch from the first to a second intensity of light so the light source outputs the second intensity of light while capturing the scene with a second upcoming image frame with a second exposure value setting, wherein the second intensity of light is higher than the first intensity of light when the second exposure value setting is higher than the first exposure value setting, and the second intensity of light is lower than the first when the second exposure value setting is lower than the first exposure value setting, and stitching the first upcoming image frame with the second upcoming image frame into a high-dynamic range image frame.

Abstract: A method is provided. The method includes determining, while a user equipment (UE) is connected to a long term evolution (LTE) cell, that the UE supports connection with a first fifth generation (5G) frequency range (FR1) base station (gNB) and a second 5G frequency range (FR2) base station (SgNB), when the UE is camped to an FR1 cell, determining whether at least one connection condition is satisfied, and controlling to release the UE from the FR1 cell and initiating the UE to an FR2 cell when the at least one connection condition is determined to be satisfied.

Abstract: A satellite tracking system and method, a three-point peaking technique is used to determine the direction of a satellite 50 which includes a signal source. A Kalman filter is used to minimize the effects of noise in the received signal during the three-point peaking operation. This determination may be made at any time. Once the position of a satellite 50 has been determined twice over a time interval, its future position may be estimated by an adaptive continuous step track technique, using a Kalman filter, which assumes that the satellite moves uniformly with time as viewed from the antenna.

Abstract: Techniques are provided for enabling user equipment (UE) positioning based on angle estimation in millimeter wave (mmW) bands. An example method for determining a location of a mobile device includes transmitting array gain information to a network entity, the array gain information including beam pattern information based at least in part on a sub-band and a state of the mobile device, receiving one or more reference signals in one or more sub-bands, wherein a receive beam for each of the one or more reference signals is based at least in part on the sub-band the one or more reference signals are being received in, and on a current state of the mobile device, determining measurement values based on the one or more reference signals, and determining the location of the mobile device based at least in part on the measurement values.

Abstract: An apparatus comprising an interface, a structured light projector and a processor. The interface may receive pixel data. The structured light projector may generate a structured light pattern. The processor may process the pixel data arranged as video frames, perform operations using a convolutional neural network to determine a binarization result and an offset value and generate disparity and depth maps in response to the video frames, the structured light pattern, the binarization result, the offset value and a removal of error points. The convolutional neural network may perform a partial block summation to generate a convolution result, compare the convolution result to a speckle value to determine the offset value, generate an adaptive result in response to performing a convolution operation, compare the video frames to the adaptive result to generate the binarization result for the video frames, and remove the error points from the binarization result.

Abstract: Methods, devices, and systems for changing a layer 2 (L2) identifier (ID) during an ongoing vehicle-to-everything (V2X) session between a source wireless transmit/receive unit (WTRU) and a peer WTRU include communicating between the source and a peer WTRUs based on an existing layer 2 (L2) identifier (ID). On a condition that a trigger event occurs, the source WTRU generates a new source L2 ID, communicates the new source L2 ID to the peer WTRU, receives from the peer WTRU a message that responds to the new source L2 ID, and communicates between the source WTRU and the peer WTRU based on the new source L2 ID.

Abstract: An image processing method includes: obtaining DCE magnetic resonance images corresponding to a plurality of time points for a same detection target; determining average pixel grayscale values of images of a same lesion region in the DCE magnetic resonance images of the plurality of time points respectively; determining a time to peak according to the average pixel grayscale values corresponding to the plurality of time points; and generating a first-stage time-intensity image before the time to peak and a second-stage time-intensity image after the time to peak respectively according to the DCE magnetic resonance images and the time to peak. The first-stage time-intensity image and the second-stage time-intensity image are 3D images. A pixel grayscale value of each pixel in the first-stage time-intensity image and the second-stage time-intensity image represents a change rate of blood supply intensity and reflects a severity level of a lesion corresponding to the lesion region.

Abstract: A plurality of subimages of an image are generated based on output from a random number generator. Each subimage is input to a machine learning program trained to output an object classified in the subimage. When a number of subimages with a same classified object exceeds a threshold, an object in the image is identified as the classified object.

Abstract: In some implementations, a computing device can be configured to automatically turn off notifications when generating a notification would cause a disturbance or be unwanted by a user. The device can be configured with quiet hours during which notifications that would otherwise be generated by the computing device can be suppressed. In some implementations, quiet hours can be configured as a time period with a start time and an end time. In some implementations, quiet hours can be derived from application data. For example, calendar data, alarm clock data, map data, etc. can be used to determine when quiet hours should be enforced. In some implementations, the device can be configured with exceptions to quiet hour notification suppression. In some implementations, the user can identify contacts to which the quiet hours notification suppression should not be applied.

Abstract: Disclosed are techniques for wireless positioning. In an aspect, a user equipment (UE) may determine an angle-based estimation capability of the UE. The UE may report the angle-based estimation capability of the UE to a network entity. In an aspect, a network entity may receive, from a user equipment (UE), information indicating an angle-based estimation capability of the UE. The network entity may determine, based on the angle-based estimation capability of the UE, an angle-based estimation configuration. The network entity may send the angle-based estimation configuration to the UE.

Abstract: A method and apparatus is provided to use a value tag in conjunction with transmission and/or processing of system information in a wireless communication network, specifically in conjunction with second type system information or non-essential type system information. An access node may initiate broadcasting second type system information when the second type information content is updated, in order to avoid multiple on-demand delivery requests from wireless terminals. The access node may compress second type system information to be delivered by broadcast.

Abstract: An electronic device is disclosed. The electronic device comprises a memory for storing a content, and a processor for: acquiring a probability value for each of a plurality of objects included in each of a plurality of frames configuring the stored content; grouping the plurality of objects into at least one group according to a correlation value between the plurality of objects, the correlation value being obtained on the basis of the acquired probability value; counting, for each of a plurality of frames for each group, a case where the acquired probability value is equal to or greater than a preconfigured threshold value; and acquiring a summary content on the basis of a result of the counting.

Abstract: The invention relates to a method for monitoring a passenger of a vehicle in which the geographic position of the vehicle is recorded, and a viewing direction of the passenger is recorded by means of a eye-tracking device. A data memory is accessed in which objects and geographic positions assigned to them are saved and, by using the recorded geographic position of the vehicle, it is detected whether one of the objects is located in the environment of the vehicle, and whether the object in the environment of the vehicle was perceived by the passenger depending on the recorded viewing direction of the passenger, the recorded geographic position of the vehicle, and the geographic position of the detected object in the environment of the vehicle.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive system information associated with a set of neighboring cells included in a non-terrestrial network (NTN). The UE may be connected to or camped in a current cell included in the NTN. The current cell may be associated with a current platform. The UE may monitor a neighboring cell, of the set of neighboring cells, based at least in part on the system information. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. Some wireless networks may maintain up-to-date location information for the UE by periodically determining the location the UE using a low power transponding mechanism while the UE is in an inactive state. The UE may monitor a first beam to receive one or more transponder search signals during one or more transponder occasions, and between paging attempts from one or more of the base stations of the network. The UE may receive the one or more transponder search signals, and may transmit a transponder response message to a base station including a UE identifier associated with the inactive state. The base station may receive the transponder response message, and may conduct various location measurements for the UE using the transponder response.