Abstract: A system for taking high-resolution photographs from a vehicle-mounted camera, forming orthomosaics from video and/or multiple high-resolution photographs, and using artificial intelligence to detect and classify pavement flaws and defects in the imagery. Detection also includes the ability to capture quantifiable metrics for the defects and/or a region of interest. Three-dimensional imagery is produced from the same images as the orthomosaics. Surface and terrain map products made from the same source images capture additional details such as depth and volume. The highlighted orthomosaics and three-dimensional imagery can then be used as a basis to determine the pavement surface condition and subsequently support maintenance orders and manage pavement repairs. Further, metadata such as latitude, longitude, and altitude geo-location coordinates and sampling time can also be transferred to the output products to create a digital time history and enable analysis for preventative maintenance planning.

Abstract: Provided is a method for manufacturing a printed circuit board with electronic component, including: mounting an electronic component on an insulating substrate; applying an insulating first coating resin to at least a part of the electronic component; curing the first coating resin; applying an insulating second coating resin to the cured first coating resin; and curing the second coating resin.

Abstract: Apparatus for display of digital content associated with a location of a Node in a wireless communication area. A user interface is generated with a digital representation of content associated with a physical tag or other Node. The user interface includes interactive portions based upon positions in the wireless communication area. The interactive portions may be activated to display the digital content associated with the physical tag in a user interface.

Abstract: A method and a wireless communication device for providing communication service to devices connected to the wireless communication device. By establishing a starter wireless carrier connection using a starter SIM from a plurality of local SIMs, the wireless communication device establishes one or more logical data connections with one or more SIM banks. Remote-SIMs are selected from the one or more SIM banks and used to establish further wireless carrier connections to allow communication service to be provided to the devices over wireless carrier connections.

Abstract: Systems, methods, and instrumentalities are described for a wireless transmit/receive unit (WTRU), comprising a memory, and a processor to execute instructions from the memory, wherein the processor is configured to access a non-3rd Generation Partnership Project (3GPP) Access Network (AN), establish a link with a Non-3GPP Interworking Function (N3IWF) via the non-3GPP AN, request information from the N3IWF about network slicing capabilities of a 3GPP Radio Access Network (RAN), receive information from the N3IWF about network slicing capabilities of the 3GPP RAN, and determine whether to register with the 3GPP RAN based upon the network slicing capabilities of the 3GPP RAN. Systems, methods, and instrumentalities are described for sending information about network slicing capabilities of a 3GPP RAN to a N3IWF, establishing a link between a WTRU operating on a non-3GPP AN and the N3IWF via the non-3GPP AN, and sending information from the N3IWF to the WTRU about network slicing capabilities of the 3GPP RAN.

Abstract: A user equipment (UE) operating in an “Onboarding Mode” may search for a network broadcasting Onboarding Capability Information (OCI), then register using onboarding credentials and receive SNPN credentials from the network. The UE may then exit onboarding mode, enter Manual Network Selection or Automatic Network Selection mode, and connect to the SNPN. A UE may also receive from a network a list of PLMNs and SNPNs that are equivalent then, when registering, indicate to the network that a requested slice is not associated with the UE's HPLMN, but is associated with an SNPN. The network may indicate to the UE how the slices of the network map to the slices of the SNPN, and may indicate whether a slice that is offered by the network only partially maps to a slice of the SNPN or HPLMN.

Abstract: Disclosed implementations include a method, apparatus and computer media for learning an optimal graph in the form of a tree topology defining a sequence that can be used by a learning network for image recognition. Image data representing the image of an object is received and N landmarks are detected on the image using a deep regression algorithm, wherein N is an integer. A weighted, fully connected, graph is constructed from the landmarks by assigning initial weights for the landmarks randomly. An optimized tree structure is determined based on the initial weights. A sequence is generated by traversing nodes of the tree structure and a series of embeddings representing the object image are generated based on the sequence. The embeddings can be processed by a neural network to generate an image recognition signal based on the embeddings.

Abstract: Methods and devices for a home power networking system including a first wireless access point (AP) configured to perform wired communications over a first circuit connected to the first wireless AP. The first wireless AP further performs wireless communications with a second wireless AP, wherein the second wireless access point is connected to a second circuit and is not connected to the first circuit. The first wireless AP provides wireless transport through the second wireless AP to bridge communications between the first circuit and the second circuit.

Abstract: Apparatus for displaying information associated with a wireless location node via a user interface based upon electromagnetic radiation received from a radio target area. More specifically, the present invention relates to methods and systems for receiving electromagnetic radiation received from a radio target area, and presenting digital content in a user interactive interface.

Abstract: Techniques for providing proximity based messages are discussed herein. Some embodiments may include one or more servers configured to receive proximity message requests from a consumer device. The requests may include consumer device locations, which may be used by the one or more servers to generate a geofence set. Furthermore, the consumer device location may be used as a basis for selecting notification data relevant to the location. Both the geofence set and the notification data may be sent to the consumer device in a single proximity message response for local notification creation if the notification data can be collected within a maximum response time. The notification data may be provided via a push notification server asynchronously if the notification data cannot be collected within the maximum response time.

Abstract: Techniques for reducing the latency of annotating a replay video segment may include receiving a video segment with content involving multiple individuals. An annotation task is performed concurrently with a tracking task. The annotation task receives annotation data to indicate which of the individuals is an individual of interest in a subset of frames of the video segment, and the tracking task tracks the individuals in the video segment by generating bounding objects corresponding to the individuals. The annotation data can be associated with the bounding objects to detect a bounding object for the individual of interest, and a visualization emphasis object is generated based on the detected bounding object in a replay video segment to identify the individual of interest.

Abstract: Described herein are methods and systems for tracking surgical items. The methods may be performed by one or more processors, and may include receiving a first count of surgical items, receiving one or more images, wherein each image is a field of view comprising one or more surgical items, determining a second count of surgical items based at least in part on the one or more received images, and providing a notification based on the comparison between the first count of surgical items and the second count of surgical items.

Abstract: A method for training a neural network for controlling a robot. The method includes ascertaining a camera pose in a robot cell and an uncertainty area around the ascertained camera pose, ascertaining an object area in the robot cell, generating training-camera-images, for each training-camera-image a training-camera-image camera pose being randomly established in the uncertainty area around the ascertained camera pose, a training-camera-image object pose being randomly established in the object area and the training-camera-image being generated, so that it shows the object with the training-camera-image object pose from the perspective of a camera with the training-camera-image camera pose, generating training data from the training-camera-images, each training-camera-image being assigned one or multiple training-robot control parameters for handling the object in the training-camera-image object pose of the training-camera-image, and training the neural network using the training data.

Abstract: An interactive image marking method is introduced. The interactive image marking method includes the following steps, displaying a target image and at least one marked region in the target image; receiving an interactive signal, where the interactive signal corresponds to a first pixel of the target image; calculating a correlation between the first pixel and pixels of the target image, and determining a correlation range in the target image according to the correlation; editing the marked region according to the correlate range; and displaying the edited marked region. In addition, an electronic device and a recording medium using the method are also introduced.

Abstract: A system and method for communicating and sensing for distributed antennas associated with a building. Each of a number of antennas distributed geographically within the building include one or more sensors, each of the one or more sensors being configured to sense an environmental condition associated with the building and generate sensor data. A sensor processor is configured to receive the sensor data and generate a digital map view of a portion of the building based on locations of the plurality of antennas, the map view including a digital representation of the sensor data.

Abstract: In an embodiment, a method includes: obtaining depth data indicative of a time-resolved measurement of a 3-D position of a moveable target in a field-of-view of a depth sensor; and processing the depth data using an interacting multi-model (IMM) tracking algorithm, the IMM tracking algorithm providing, for each one of multiple iterations, tracking data comprising a respective estimate of the 3-D position of the moveable target, wherein the IMM tracking algorithm comprises a first model providing a first output, a second model providing a second output, and a fusion module fusing the first output and the second output to provide the tracking data, wherein the first model models a movement state of the moveable target, and wherein the second model models a rest state of the moveable target.

Abstract: Described herein is a system and method for capturing data associated with actions attempted by an automated agent. The system described herein captures data associated with the actions attempted by an automated agent during the messaging session between an automated agent and the user and present a summary of the actions in a messaging platform. In an embodiment, the automated agent uploads data associated with actions attempted during the messaging session to a server. The server captures the data associated with the actions and generates a description of each action that was attempted. The server generates a summary including the description of each action. The summary of the actions are rendered in the messaging platform.

Abstract: A system for providing geolocation-based policy rules is provided. The system includes a policy engine and a memory communicatively coupled to the policy engine. The policy engine is configured to receive geolocation data for a plurality of objects. The policy engine is configured to create, based on the geolocation data, location policy attributes for the plurality of objects. The policy engine is configured to incorporate the location policy attributes into policy rules. The policy rules include rules for accessing the plurality of objects. The policy engine is further configured to execute the policy rules with regard to the plurality of objects.

Abstract: The present disclosure relates to computer-implemented systems and methods for training and using generative adversarial networks. In one implementation, a system for training a generative adversarial network may include at least one processor that may provide a first plurality of images including representations of a feature-of-interest and indicators of locations of the feature-of-interest and use the first plurality and indicators to train an object detection network. Further, the processor(s) may provide a second plurality of images including representations of the feature-of-interest, and apply the trained object detection network to the second plurality to produce a plurality of detections of the feature-of-interest.

Abstract: It is an object to provide a core network device that can satisfy security requirements required for respective network slices. A core network device (10) according to the present disclosure includes a storage unit (11) configured to store a security parameter associated with a network slice allowing a communication terminal. The core network device (10) further includes a communication unit (12) configured to transmit identification information on the network slice, and identification information on the security parameter to the communication terminal.