Abstract: Techniques and apparatuses are described for determining a position of user equipment by using adaptive phase-changing devices. In aspects, a base station transmits wireless signals for a UE toward respective reconfigurable intelligent surfaces (RISs) of adaptive phase-changing devices. The APDs may direct reflections of the wireless signals in a direction, such as toward the UE, based on a configuration of the RIS of the APD. The base station receives, from the UE via a wireless connection, identifiers of the reflections of the wireless signals that are received by the UE. In some cases, the base station also receives a signal quality parameter associated with the reflection reaching the UE. The base station determines angular information based on the respective identifiers and/or signal quality parameters of the reflections. Based on the angular information and known positions of the APDs, the base station determines a position of the UE.

Abstract: A protective case for portable electronic devices, having a case assembly with a frame assembly. The frame assembly has first and second longitudinal frame members and first and second transversal frame members. The case assembly further has a rear wall joining the first and second longitudinal frame members and the first and second transversal frame members at a substantially perpendicular disposition. The rear wall has at least two apertures, wherein the at least two apertures have cooperative shapes and dimensions to removably receive heads of inserts, and the at least two apertures.

Abstract: A stand assembly includes base and a set of legs. The legs are adjustable in location relative to the base. Further included is a strap configured to wrap around a portion of the base so as to hold a phone within the base. The base is formed to include a cradle to hold the phone in either a vertical or a horizontal orientation. A securing point is used in conjunction with the strap to secure the phone to the base. The legs may be flexed into any path so as to stabilize the base on any surface slope.

Abstract: The present disclosure provides a provisioning method and a terminal device. The provisioning method is applied to the terminal device, including: the security module establishes a secure channel with the certificate authority CA server through one or more session keys shared by the security module and the CA server; and obtains one or more digital certificates from the CA server; wherein, the security module is to implement Universal Subscriber Identity Module (USIM) functions.

Abstract: In some implementations, a computing system can perform crowd sourced access point mapping using privacy preserving techniques. For example, a server device can receive access point data reports from multiple user devices that includes various attributes and/or measurements with respect to access points with which the user devices have established connections. The access point data reports can be delivered without identifying the user devices, or users thereof, and their exact locations. Based on the access point data reports, the server device can map locations of access points and relationships between access points to generate network topologies, network locations, network quality scores, and various other characteristics of networks and/or access points. The generated access point data can be served to user devices so that the user devices can improve the efficiency of the interactions between user devices and the detected access points and/or networks.

Abstract: Disclosed are covers for a mobile phone including aspects that protect the phone from impact and/or provide shock absorbance characteristics. Covers can include one or more protrusions that reduce the contact surface to the phone and dissipate energy. Advantageously, the one or more protrusions work with intermittent spaces to provide shock absorbing characteristics and reduce the contact surface area between the cover and the phone. In some embodiments, the protrusions can include a soft-side rectangular shape, where the protrusions are placed in an ordered array in the back wall of a cover. In some embodiments, the one or more protrusions can include a row of x-shaped protrusions interspersed with air pockets along the inside wall of the cover.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: The present application relates to a method and an apparatus for a group ephemeris data provision. One embodiment of the subject application provides a method performed by a User Equipment (UE), which includes: receiving a signal indicating a first satellite group ID of a first satellite group; and comparing the first satellite group ID with a second satellite group ID of a second satellite group in a second satellite group ID set which is previously stored in the UE, wherein the first satellite group ID is associated with group ephemeris data and each satellite group ID of the second satellite group ID is associated with group ephemeris data.

Abstract: Systems and methods herein describe a malware visualization system that is configured to access a computer file, generate a first image of the computer file, determine a frequency count of bi-grams in the computer file, compute a discrete cosine transform (DCT) of the frequency count of bi-grams, generate a second image of the computer file based on the DCT of the frequency count of bi-grams, analyze the first image and the second image using an image classification neural network and generate a classification of the computer file.

Abstract: A method for reporting a blocking of a charging station by a parking motor vehicle includes, upon fulfillment of a triggering condition, sending a message to a user of the motor vehicle and/or to a device that is external to the charging station, wherein the triggering condition is fulfilled or can only be fulfilled if, after recognition of the occupancy of a parking area assigned to the charging station by a sensor direction, an additional condition is fulfilled, wherein the additional condition is fulfilled or can only be fulfilled if, on the one hand, during an evaluation of image data provided by the sensor device and/or a further sensor device, no feature is recognized which identifies the motor vehicle as potentially being suitable for charging by the charging station, and/or if, on the other hand, a charging connection of the charging station is not connected to a charging connection of the motor vehicle for a predefined minimum time immediately after the recognition of the occupancy of the parking are

Abstract: A system that stores functional information indicating a capability of each of a plurality of elements located remotely from the system; identifies a function capable of being performed by linking a plurality of the elements based on the stored functional information; and transmits information corresponding to the identified function capable of being performed by linking the plurality of elements to a first device remote from the system.

Abstract: A ring-type wearable electronic device is provided.

Abstract: The embodiments of the disclosure provide a method for managing tracking devices, a device manager, and a computer readable storage medium. The method includes: receiving a local map corresponding to each of a plurality of tracking devices and accordingly generating a shared map; obtaining a pose ambiguity status corresponding to each of the tracking devices; determining at least one first specific device among the tracking devices based on the pose ambiguity status corresponding to each of the tracking devices; and disabling at least one function of the at least one first specific device.

Abstract: In some aspects, the techniques described herein relate to a method including: determining a target in a line of sight of an imaging device mounted to an aircraft; acquiring a plurality of images from the imaging device while steering the aircraft through a trajectory about the target; determining a mapping of a fixed reference feature in the plurality of images; and determining an error in an orientation of the imaging device based upon the mapping of the fixed reference feature.

Abstract: A system for faster object attribute and/or intent classification may include an machine-learned (ML) architecture that processes temporal sensor data (e.g., multiple instances of sensor data received at different times) and includes a cache in an intermediate layer of the ML architecture. The ML architecture may be capable of classifying an object's intent to enter a roadway, idling near a roadway, or active crossing of a roadway. The ML architecture may additionally or alternatively classify indicator states, such as indications to turn, stop, or the like. Other attributes and/or intentions are discussed herein.

Abstract: Various methods for a 3GPP defined Charging and Collection Function are employed that may use a microservices approach. The microservice approach may decompose the function of the network elements into component level functions that may be deployed as separate functional elements.

Abstract: In one aspect, a system for receiving communications while a user operates a motor vehicle is provided. The system may include (1) a BLUETOOTH interface configured to establish a connection to a BLUETOOTH device associated with the motor vehicle, (2) a wireless communication interface configured to receive a wireless communication from a remote device, and (3) a processor coupled to the wireless communication interface and the BLUETOOTH interface, and configured to: (a) determine the user is operating the motor vehicle based upon the connection to the BLUETOOTH device, and (b) suppress a notification of the user of receipt of the wireless communication while the user is operating the motor vehicle.

Abstract: A sensor may be configured to determine how many people that have entered or exited a space. The sensor may comprise a pyroelectric infrared (PIR) detection circuit capable of generating different output signal patterns in response to a person entering or exiting the space. The sensor may determine whether the person has entered or exited the space based on the output signal pattern. The sensor may include a thermopile array, a radar detection circuit, or a visible light sensing circuit. The thermopile array, radar detection circuit, or visible light sensing circuit may be capable of detecting a person's location and/or movements within an area monitored by the sensor and determining, based on the detected movements, whether the person has entered or left the space. An occupant count of the space may then be determined accordingly by the sensor or by a system controller.

Abstract: In an embodiment of the present invention, imagery of a geographic area is received from an image capture system. The imagery includes an obscurity impeding visibility. A geographic region within the geographic area is determined corresponding to a location of the obscurity. The image capture system is requested to capture new imagery of the geographic region at a time determined based on information including weather patterns. The new imagery of the geographic region is combined with the imagery of the geographic area to produce resulting imagery resolving the obscurity.

Abstract: A computer-implemented method for determining an output signal characterizing a semantic segmentation and/or an instance segmentation of an image. The method includes: determining a first intermediate output signal from a machine learning system, wherein the first intermediate output signal characterizes a semantic segmentation and/or an instance segmentation of the image; adapting parameters of the machine learning system based on a loss function, wherein the loss function characterizes an entropy or a cross-entropy of the first intermediate output signal; determining the output signal from the machine learning system based on the image and the adapted parameters.