Abstract: A user device may receive information indicating that a universal integrated circuit card has been installed in the user device, where the universal integrated circuit card may store a default table that includes network slice selection assistance information used to route data from the user device to correct slices of a network. The user device may execute an application stored in the user device based on receiving a selection of the application, where execution of the application may cause data to be generated. The user device may identify a slice of the network to which to route the data based on the network slice selection assistance information included in the default table. The user device may cause the data to be routed to the slice of the network identified based on the network slice selection assistance information included in the default table.

Abstract: A method for infiltrating a substance into a heterogeneous solid of a material of an elastomeric strap to form a logo that includes providing a permeating substance and a heterogeneous solid of the elastomeric strap. The heterogeneous solid comprises a first region, a second region, and an interface region interposed between the first region and the second region. The method also includes applying an energy to the heterogeneous solid with the energy of an amount sufficient to render the interface region temporarily permeable; applying a driving force configured to infiltrate the permeating substance into the interface region to form the logo; and, modifying the application of the energy, thereby rendering the interface region impermeable and causing a portion of the permeating substance to disperse into the first region.

Abstract: Land cover (LC) and land use (LU) have commonly been classified separately from remotely sensed imagery, without considering the intrinsically hierarchical and nested relationships between them. A novel joint deep learning framework is proposed and demonstrated for LC and LU classification. The proposed Joint Deep Learning (JDL) model incorporates a multilayer perceptron (MLP) and convolutional neutral network (CNN), and is implemented via a Markov process involving iterative updating. In the JDL, LU classification conducted by the CNN is made conditional upon the LC probabilities predicted by the MLP. In turn, those LU probabilities together with the original imagery are re-used as inputs to the MLP to strengthen the spatial and spectral feature representation. This process of updating the MLP and CNN forms a joint distribution, where both LC and LU are classified simultaneously through iteration.

Abstract: An information transmission system includes a communication connection device and a server. The communication connection device includes a use determination unit, a first communicator, a second communicator, and a communication control unit. The use determination unit determines whether a movable object is in use. The second communicator communicates with the server for a larger volume of data than the first communicator at a time, or communicates with the server more frequently than the first communicator. The communication control unit causes the second communicator to transmit, selectively from transmission information, specific transmission information including predefined movable object information to the server when the use determination unit determines that the movable object is not in use and the second communicator is enabled to communicate with a communication base station.

Abstract: This disclosure relates to techniques for providing robust downlink control information with flexible resource assignments for wireless devices that operate in a restricted bandwidth compared to the system bandwidth. A base station may determine a resource assignment for a wireless device. The base station may transmit downlink control information to the wireless device. The downlink control information may include an indication of a resource assignment for the wireless device. The indication of the resource assignment may include an indication of a first narrowband associated with the resource assignment, and an indication of whether one or more additional narrowbands are associated with the resource assignment. The base station and the wireless device may communicate data according to the resource assignment.

Abstract: A method and system a system for activating a wireless service includes a subscriber identity module (SIM) card having a first surface, the SIM card including a subscriber identity module (SIM), and an activation code stored with the SIM card. The activation code is linked to the SIM. A wireless device configured to receive the SIM, where the SIM is configured to be utilized in the wireless device, the wireless device including: a memory that stores an operating system of the wireless device and a wireless service activation application, a processor that processes a function of the wireless device, a display that displays information to a user, the wireless service activation application is configured to capture the activation code that authorizes the wireless device on a wireless network and authorizes a predetermined amount of wireless service for the wireless device associated with said SIM.

Abstract: Certain aspects of the present disclosure relate to methods and apparatus for implementing image locating relative to a global structure. The method generally includes mapping one or more close-up images of a structure to a 3D model of the structure, and indicating, on an overview image of the structure, the location of the one or more close-up images based on the mapping.

Abstract: Methods and apparatus provide for: receiving inputs at at least one server from a controller over an internet connection; using the inputs in a processing system to produce data based thereon representing desired operations by a user of the controller; and transmitting the data from the service provider server system back over the internet connection.

Abstract: A computer implemented method for generating a one-to-one mapping between a first spatial point set and a second spatial point set in nD, n=2 or 3, comprising receiving a first and a second spatial point sets in nD and a plurality of candidate correspondences; computing unit conflict lists for the candidate correspondences; generating one or more MatchPairs between the first and the second point sets; computing local distance measures for the MatchPairs; converting the local distance measures to weights; computing conflict lists for pairs of the MatchPairs by taking the bitwise ORs of their candidate correspondences' unit conflict lists; computing correspondence lists for the MatchPairs; computing compatibilities between pairs of the MatchPairs by examining for each pair the bitwise AND of one's correspondence list and the other's conflict list; constructing a vertex-weighted undirected graph with its nodes corresponding to the MatchPairs, its edges representing the compatibilities, and its graph vertices ass

Abstract: Embodiments of the present invention facilitate product defect detection. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a template image of a normal product; generating, by the device, one or more geometric training parameters for transforming the template image; and transforming, by the device, the template image using the one or more geometric training parameters to generate a transformed image for training a data model, wherein the trained data model being used for aligning the template image and an image under inspection of a product.

Abstract: A control device includes: a recognition unit that recognizes predetermined behavior of a user; an estimation unit that estimates a situation of the user on the basis of the predetermined behavior that is recognized by the recognition unit; an evaluation unit that evaluates certainty of an estimation result from the estimation unit; and an output unit that outputs to the control unit, an operation instruction in accordance with the certainty.

Abstract: A method for determining a local tissue function of tissue in a body region of interest of an examination object is disclosed. In an embodiment, the method includes segmentation of an outer contour of the tissue using at least one medical image recording representing the body region of interest of the examination object comprising the tissue; subdivision of the segmented tissue into at least two tissue regions; and ascertaining a function parameter relating to the tissue function for each of the at least two tissue regions. Embodiments also relate to a corresponding computing unit for determining a tissue function of tissue, a corresponding medical imaging system, a computer program and a computer-readable data carrier.

Abstract: Methods, systems, and devices for image processing are described. The method may include identifying a face in a first image based on identifying one or more biometric features of the face, determining an angular direction of one or more pixels of the identified face, identifying an anchor point on the identified face, sorting each of one or more pixels of the identified face into one of a set of pixel bins based on a combination of the determined angular direction of the pixel and a distance between the pixel and the identified anchor point, and outputting an indication of authenticity associated with the face based on a number of pixels in each bin.

Abstract: The present invention comprises system and method for configuring and displaying contact information in an easy-to-use fashion on a computing platform. The system includes the ability to select a contact for a phone call or text message with minimal user interaction.

Abstract: Methods, electronic devices, and computer readable media for application function (AF) protocol data unit (PDU) session management and subscription procedures. A method for a method for PDU session management includes initiating a PDU session for an application function (AF) within an application server (AS) that is not part of a cellular network and sending configuration information to a network exposer function (NEF) to communicate directly with a network function (NF) of the cellular network to provide services for the PDU session. The method additionally includes receiving authorization from the NEF and communicating directly with the cellular network NF to provide the PDU services during the PDU session.

Abstract: An electronic device is provided. The electronic device includes a light emitting unit configured to alternately emit light having a preset pattern to an eye area of a user; an inputter configured to receive a plurality of images which capture an eye area of the user; and a processor configured to detect a user's gaze using a first image that is captured at the time of irradiating a preset first pattern and a second image that is captured at the time of irradiating a preset second pattern, and the processor detects a user's gaze by extracting reflection points of each of the first image and the second image and using remaining reflection points excluding reflection points at a same position from among the extracted reflection points.

Abstract: Embodiments of this application disclose a charging method and related devices. An example charging method includes: sending a charging start request for a packet data unit (PDU) session to a charging function apparatus, where the charging start request carries an indication receiving address; receiving an indication message that is sent by the charging function apparatus based on the indication receiving address, where the indication message carries an indication type; and performing charging processing based on the indication type.

Abstract: Disclosed herein are techniques for detecting logos in images or video. In one embodiment, one or more candidate regions are detected for determining logos in an image. A logo is determined to be the logo in the candidate region based on matching a feature vector of a candidate region to a feature vector of the logo.

Abstract: A system trains and applies a machine learning model to label maps of a region. Various data modalities are combined as inputs for multiple data tiles used to characterize a region for a geographical map. Each data modality reflects sensor data captured in different ways. Some data modalities include aerial imagery, point cloud data, and location trace data. The different data modalities are captured independently and then aggregated using machine learning models to determine map labeling information about tiles in the region. Data is ingested by the system and corresponding tiles are identified. A tile is represented by a feature vector of different data types related to the various data modalities, and values from the ingested data are added to the feature vector for the tile. Models can be trained to predict characteristics of a region using these various types of input.

Abstract: Systems and methods are described for obfuscating variants of content segments. Variants of content segments can be used to encode an identifying sequence in a transmission of content. The variants of the content segments can each include one or more marked frames and one or more unmarked frames. Variations can be introduced into the unmarked frames for each of the variants of the content segments.