Abstract: Methods, apparatuses, and computer programs are provided for SRS for positioning resource overhead reduction in multi-RTT. A method for a UE includes receiving an initial configuration of a plurality of sounding reference signal for positioning resources; measuring a downlink positioning reference signal received from one or more cells; determining one or more transmission beams based on reception beams used for receipt of the downlink positioning reference signal from the one or more cells; wherein the determining of the one or more transmission beams comprises a reduction of at least one beam resource associated with a sounding reference signal for positioning; and transmitting an updated sounding reference signal for positioning configuration with information about the determined one or more transmission beams. Methods are also provided for a radio node and for an LMF.

Abstract: Systems and methods for signaling information related to wireless device positioning in a cellular communications network are disclosed. In some embodiments, a method of operation of a first network node for signaling information related to wireless device positioning in a cellular communications network comprises signaling, from the first network node to a second node, information comprising information that relates to a new vertical surface model for a plurality of cells in a cellular communications network. The new vertical surface model is a translated and scaled version of an initial vertical surface model.

Abstract: A system and method applicable for determining the positions of radio tags based on triangulation and respective radio tag signals transmitted from each radio tag, where each of a set of base stations is configured to transmit a radio base signal including an identifier that uniquely identifies the base station, and other base stations of the set of base stations receive the radio base signal and forward received base station messages to a central control unit which determines a position for any added base station using triangulation and known positions for base stations already included in the system, in order to facilitate expanding the number of base stations in the system.

Abstract: A method and a location service component for providing an estimate of a location related to a device are disclosed. The location service component receives a request from a client for the estimate of the location and estimates the location based on a predictive model to obtain an initial set of data items. Each data item includes a respective estimate of the location and a set of identities representing one or more further devices in a neighborhood of the device. The location service component obtains a respective location for each of the further devices based on the set of identities. The location service component removes data items that are inconsistent with the respective location for the further devices to obtain a pruned set of data items. The location service component sends, estimates of the pruned set of data items to the client. A corresponding computer program and a computer program carrier are also disclosed.

Abstract: Aspects of the subject disclosure may include, for example, utilizing a Radio Frequency (RF) fingerprint model for a demarcated area associated with a plurality of anchors. A machine learning process is applied to an RF training set that includes RF characteristics for a plurality of messages and locations determined for one or more mobile devices within the demarcated area. The plurality of messages are wirelessly transmitted as part of radio measurement locating processes to determine the mobile device locations. A first location for the first mobile device can be determined based on the RF fingerprint model according to particular RF characteristics of first messages being received by or received from the first mobile device. Other embodiments are disclosed.

Abstract: An image-recognition method is provided. The method includes the following steps: receiving a plurality of check-point images, and classifying the check-point images into a plurality of groups; classifying the check-point images in each group into a plurality of types to generate first structured data; balancing a number of the check-point images in each type of each group in the first structured data to generate second structured data, wherein the second structured data includes training-set data and testing-set data; training an artificial-intelligence (AI) model using the training-set data; and inputting the testing-set data into the AI model to obtain a model evaluation of the AI model.

Abstract: A method comprising receiving a handover request message indicating a request for handover of a wireless communications device from a source infrastructure equipment to a target infrastructure equipment, receiving an indication from the source infrastructure equipment as to whether or not user plane data is being transmitted to or received from the wireless access network via the source infrastructure equipment using an integrity protection scheme, determining whether or not the integrity protection scheme for the user plane data is supported by the target infrastructure equipment, transmitting a handover command to the source infrastructure equipment to indicate to the source infrastructure equipment that the source infrastructure equipment should handover the wireless communications device to indicate to the source infrastructure equipment, and providing an indication as to whether or not the integrity protection scheme can be used for transmitting or receiving user plane data via the target infrastructure

Abstract: The system includes a device database, an interface, and a processor. The device database stores a set of times and corresponding set of locations associated with a device. The interface is configured to receive a request for identification of sensor data associated with a target. The request includes a request time and/or a request location. The processor is configured to: determine a set of devices associated with the time and/or the location using the device database; provide a request to search for the sensor data associated with the target at the time and/or the location to each device of the set of devices; and receive an indication of the identification of sensor data associated with the target from an identifying device of the set of devices.

Abstract: Systems and methods are disclosed herein that relate wireless device positioning based on cell portion specific Positioning Reference Signals (PRSs) by multiple Transmit Points (TPs) in a shared cell. In some embodiments, a method of operation of a TP in a cellular communications network is provided. The TP is one of multiple of non-co-located TPs of a shared cell that has a shared cell identifier. The method of operation of the TP comprises transmitting a PRS having at least one parameter that is a function of a cell portion identifier of the TP, where the at least one parameter comprises a frequency-shift of the PRS, a portion of a system bandwidth in which the PRS is transmitted, and/or a PRS sequence used for the PRS. By transmitting cell-portion-specific PRSs, the TPs in the shared cell enable wireless device positioning based on PRSs transmitted by the non-co-located TPs.

Abstract: Methods, apparatus and systems for configuring minimization of drive test in a wireless network with a multi-connectivity architecture are disclosed. In one embodiment, a method performed by a first wireless communication node is disclosed. The method comprises: transmitting, to a second wireless communication node, configuration information for a minimization of drive test (MDT) measurement; and receiving, from the second wireless communication node, a feedback in response to the configuration information for the MDT measurement. The first wireless communication node and the second wireless communication node are both nodes in a wireless network.

Abstract: According to an embodiment, an electronic device comprises a camera module including a camera, a sensor module including sensing circuitry, a display, a memory; and a processor configured to: control the memory to store registered biometric information, obtain at least one image using the camera module, obtain biometric information using the sensor module, control the display to display a first object generated by converting at least part of a second object included in the at least one image, and control the display to display the first object together with information for changing posture based on at least one of a position, shape, or size of a third object included in the at least one image until the obtained biometric information and the registered biometric information meet a designated condition.

Abstract: A tool for supporting mustering in a facility is provided. The tool includes a mobile computing device comprising a display unit, a memory and a processor. The memory has executable instructions of an application stored thereon, which, when executed, cause the processor to communicate with monitoring and control systems of the facility, to conduct a registration of the user of the mobile computing device and to display on the display unit an interface. The interface includes a first interface element by which the user indicates his/her safety level, a second interface element by which the user self-identifies as a mayor and a map. The map includes first information received from the monitoring and control systems, second information relating to predefined static muster points and third information relating to dynamic muster points of users self-identifying as mayors.

Abstract: Depth estimates for an object made by one or more sensors of a vehicle may be refined using locations of environmental attributes that are proximate the object. An image captured of the object proximate an environmental attribute may be analyzed to determine where the object is positioned relative to the environmental attribute. A machine-learned model may be used to detect the environmental attribute, and a location of the environmental attribute may be determined from map data. A probability of a location of the object may be determined based on the known location of the environmental attribute. The location probability of the object may be used to refine depth estimates generated by other means, such as a monocular depth estimation from an image using computer vision.

Abstract: A method and system for 3D/3D medical image registration. A digitally reconstructed radiograph (DRR) is rendered from a 3D medical volume based on current transformation parameters. A trained multi-agent deep neural network (DNN) is applied to a plurality of regions of interest (ROIs) in the DRR and a 2D medical image. The trained multi-agent DNN applies a respective agent to each ROI to calculate a respective set of action-values from each ROI. A maximum action-value and a proposed action associated with the maximum action value are determined for each agent. A subset of agents is selected based on the maximum action-values determined for the agents. The proposed actions determined for the selected subset of agents are aggregated to determine an optimal adjustment to the transformation parameters and the transformation parameters are adjusted by the determined optimal adjustment.

Abstract: An unconstrained saddle point of a function is obtained by computing a combination of a first subspace for minimization, and a second subspace for maximization. A combination of a current location including a first and second current location within the first and second subspace is iteratively selected. From the current location, a combination of a step-size including a first and second step-size along a first and second direction of the first and second subspace, is computed. The first and second step-size is to a next first and second location within the first and second subspace. The current location is set to a next location including the next first and second location. The combination of the first and second subspace is according to the next location. The iterations terminate when the next location meets a requirement denoting the unconstrained saddle point. The location indicating the unconstrained saddle point is provided.

Abstract: An industrial image inspection method includes: generating a test latent vector of a test image; measuring a distance between a training latent vector of a normal image and the test latent vector of the test image; and judging whether the test image is normal or defected according to the distance between the training latent vector of the normal image and the test latent vector of the test image.

Abstract: An image generating part generating feature extraction images by applying an identification part, which has completed learning, that has executed learning in advance to extract features using learning image data to an inspection image, an inspection part specifying an area corresponding to a defect on the basis of judgment parameters for judging presence/absence of a defect in the inspection target object and a binary image generated on the basis of the feature extraction images, and a setting part calculating an image score based on a density of a color of pixels of a setting image using the setting image that is the binary image in which an area corresponding to the defect is specified and updating the judgment parameters such that a difference between an image score of the inside of the area and an image score of the outside of the area becomes relatively large are included.

Abstract: Examples of techniques for handling multiple fine time measurement ranging requests are described. In an example, an access point (AP) may receive a ranging request for initiating an FTM session from each client device in a set of client devices. Based on the ranging request, a plurality of burst durations, each for performing the FTM session for each client device is determined. A maximum burst duration may be determined form the plurality. If a service time for serving high priority traffic is less than the maximum burst duration, a subset of the client devices is selected for performing the FTM session, where a sum of burst durations for performing the FTM session for each client device in the subset is less than the maximum burst duration. The FTM session for each client device in the subset is initiated.

Abstract: An image forming apparatus, a scanned image correction method of an image forming apparatus, and a non-transitory computer-readable recording medium are provided. The image forming apparatus includes a scan unit to scan a document to generate a scanned image and a processor to detect a skew angle of the scanned image, determine a reference point on the basis of a position of a content in the scanned image, and rotate the scanned image around the determined reference point to correct the skew angle.

Abstract: An electronic device includes an indoor positioner and a positioning engine server. The indoor positioner has an array antenna to receive a wireless signal from user equipment, and to calculate the angle of arrival (AOA) of the wireless signal according to the phase difference and the time difference. The wireless signal includes status data of the user equipment. The positioning engine server converts the angle of arrival into a set of coordinates that correspond to a position of the user equipment, and inputs the set of coordinates to an IMM module. The IMM module includes a first state module and a second state module. The IMM module calculates weighting values for the first state module and the second state module according to the status data of the user equipment, and outputs an estimated set of coordinates according to the set of coordinates and the weighting values.