Abstract: A system to perform operations that include: detecting, at a first client device, a second client device in proximity with the first client device; generating a pairing code in response to the detecting the second client device in proximity of the first client device; establishing a communication pathway between the first client device and the second client device based on at least the pairing code; and presenting a collocation indicator at the first client device based on the establishing the communication pathway, according to certain example embodiments.

Abstract: Disclosed are a light-emitting device and a display panel. A light-emitting functional layer includes a first light-emitting layer, a charge-generating layer, and a second light-emitting layer sequentially disposed on a first electrode. The first light-emitting layer includes a first light-emitting sublayer, and the second light-emitting layer includes a second light-emitting sublayer. A triplet lifetime of a material of the first light-emitting sublayer is longer than that of a material of the second light-emitting sublayer, and luminous efficiency of the material of the first light-emitting sublayer is less than that of the material of the second light-emitting sublayer.

Abstract: A system and method for creating a virtual digital object comprising a plurality of components includes receiving from a user selections of a plurality of components for use in creating the virtual digital object. Each component has a cost designated in cryptocurrency that is presented for acceptance by the user. Upon acceptance, a cost tally for the virtual digital object is updated. Upon completion, the virtual digital object is minted by subtracting a total cost tally in cryptocurrency from a digital wallet of the user and by interacting with a smart contract including the virtual digital object and metadata relating to at least one of valuation of the virtual digital object, creation of the virtual digital object, and rules governing use and ownership of the virtual digital object. The minted virtual digital object is added to the user's digital wallet and optionally uploaded to an online gallery for purchase.

Abstract: In some embodiments, the present disclosure provides an algorithm for a data-driven intelligent adaptive model of an automobile cab based on a biometric identification technology. The algorithm includes the following steps: acquiring driving posture data, the driving posture data including driver information, automobile man-computer parameter information, and seat position information; building a feature extraction model of the driving posture data and screening feature vectors playing a significant role in predicting a seat position by the feature extraction model; building a prediction model of a comfortable seat position by a back propagation (BP) neural network and inputting the screened feature vectors to perform training on the prediction model; and inputting specific feature vectors to obtain the seat position information and accordingly adjust the seat position.

Abstract: A subscriber identification module (SIM) card detection failure recovery method for an electronic device includes that the electronic device identifies a card recovery scenario, where card recovery includes whether to power on a SIM card. A configurable timer is started based on the card recovery scenario. The electronic device periodically obtains, based on a time set by the timer, power-on information for powering on the SIM card. The electronic device determines a power-on condition of the SIM card based on the power-on information. If the power-on condition is met, the electronic device powers on the SIM card.

Abstract: The present disclosure describes a method for optimizing metal cuts in standard cells. The method includes placing a standard cell in a layout area and inserting a metal cut along a metal interconnect of the standard cell at a location away from a boundary of the standard cell. The method further includes disconnecting, at the location, a metal portion of the metal interconnect from a remaining portion of the metal interconnect based on the metal cut.

Abstract: Provided are methods and devices for transmitting a reference signal. The method comprises: determining a sequence parameter associated with the reference signal, where the sequence parameter is used for generating a sequence, and the sequence parameter hops once every X time domain symbols, where X is an integer greater than or equal to 1; determining the reference signal according to the determined sequence parameter; and transmitting the reference signal.

Abstract: Methods, apparatus and systems for classifying user equipment measurements for positioning estimation are described. In one embodiment, a method performed by a first wireless communication node, includes: transmitting a measurement initiation request configured to be received by a wireless communication device; receiving a measurement initiation response, wherein the measurement initiation response comprises a plurality of measurements performed by the wireless communication device for estimating a position of the wireless communication device, wherein the plurality of measurements is classified into a plurality of groups; and performing a positioning integrity analysis by estimating an error distribution for at least one of the plurality of groups.

Abstract: Sidelink communications may be used for positioning between devices. The sidelink based communications may be between equipment (“UE”) and/or with other network nodes, such as a basestation. The sidelink positioning information may be used for location determination. This may include vehicle to everything (V2X) communications via a PC5 interface. The sidelink positioning information is communicated via the PC5 interface and includes location, capability, assistance data, and measurement reports.

Abstract: According to various embodiments, systems, methods, and media for evaluating an open space planner in an autonomous vehicle are disclosed. In one embodiment, an exemplary method includes receiving, at a profiling application, a record file recorded by the ADV while driving in an open space using the open space planner, and a configuration file specifying parameters of the ADV; extracting planning messages and prediction messages from the record file, each extracted message being associated with the open space planner. The method further includes generating features from the planning message and the prediction messages in view of the specified parameters of the ADV; and calculating statistical metrics from the features. The statistical metrics are then provided to an automatic tuning framework for tuning the open space planner.

Abstract: Interactive experiences are generated using an augmented reality (AR) system that leverages the native input and output capabilities of AR devices to generate immersive and interactive experiences in smart spaces that combine visually-represented programming logic, AR content, and IoT devices. The system connects IoT devices with each other in a native AR environment, provides virtual content and logic gates, scripts sequences and loops of actions, solves visibility issues for IoT devices that are far apart, and designs logic gates and flow circuits that best support user intentions when generating interactive experiences in smart spaces. The interactive experience is produced by generating a program of behaviors of selected IoT devices using logic gates and control circuits connected to the IoT devices in a visual programming interface of the AR device. Once completed, the program of behaviors is executed by a runtime module to control the IoT devices during the interactive experience.

Abstract: Methods, systems, and devices for signaling quasi-co-location information in mobile communication technology are described. An exemplary method for wireless communication includes transmitting, from a first communication node and to a second communication node, a signal according to a beam set that comprises a first subset of B beams selected from a pool of beams, wherein B is positive integer. In an example, a beam of the beam set comprises one or more channel property assumptions, one or more reference signals (RSs), one or more RS sets, one or more spatial relation states, one or more quasi-co-location (QCL) states, one or more transmission configuration indicator (TCI) state, one or more spatial domain filters or one or more pre-coding filters.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, method, and user interface to facilitate augmented reality based communication between multiple users over a network. A first user of a first device is enabled to view a real-world environment that is visible to a second user via a second device by causing display, at the first device, of a live camera feed generated at the second device. The live camera feed comprises images of the real-world environment that is visible to the second user. Input data indicative of a selection by the first user of a virtual content item to apply to the real-world environment that is visible to the second user is received. The first device and second device present media objects overlaid on the real-world environment based on the input data.

Abstract: Examples of methods are described herein. In some examples, a method includes predicting a first sintering state of an object using a first machine learning model trained based on a first time segment. In some examples, the method includes predicting a second sintering state of the object using a second machine learning model trained based on a second time segment. In some examples, the method includes combining, using a fusion machine learning model, the first sintering state and the second sintering state to produce an overall sintering state.

Abstract: Embodiments of the invention provide a computer system that includes a central processing unit (CPU) associated with a host computer. The CPU includes CPU functionality and on-board enhanced CPU functionality. The CPU further includes a virtualized first instance of the CPU comprising an enabled virtualized first instance of the CPU functionality; and a non-enabled virtualized first instance of the on-chip enhanced CPU functionality. The CPU further includes a virtualized second instance of the CPU comprising an enabled virtualized second instance of the CPU functionality; and an enabled virtualized second instance of the on-chip enhanced CPU functionality.

Abstract: An augmented reality (AR) device is interfaced to an Internet of Things (IoT) device by receiving IoT device information in a standardized schema from the IoT device. The IoT device information includes device inputs and available output information for the IoT device. A predetermined AR user interface widget to render for the IoT device is determined from the received IoT device information. The predetermined AR user interface widget converts user inputs to the AR device into the device inputs for the IoT device. Upon selection of the IoT device by the AR device, the predetermined AR user interface widget for the selected IoT device is provided to the AR device as an overlay on a display of the AR device. Device input received in response to user interaction with the AR user interface widget is provided to the IoT device in an input type expected by the IoT device.

Abstract: An air conditioner indoor unit includes: a shell having an air inlet and an air outlet, the air outlet is located at the bottom of the shell; and at least one heat exchanger group. The air flows through the air inlet and is subjected to heat exchange via the at least one heat exchanger group, and then flows out from the air outlet. The heat exchanger group includes: a first heat exchanger; a second heat exchanger arranged to be inclined with respect to a first direction, a lower end portion of the second heat exchanger being connected to an upper end portion of the first heat exchanger; a third heat exchanger spaced apart from the first heat exchanger; and a fourth heat exchanger arranged to be inclined with respect to the first direction.

Abstract: Systems and methods are described for selectively sharing audio and video streams amongst electronic eyewear devices. Each electronic eyewear device includes a camera arranged to capture a video stream in an environment of the wearer, a microphone arranged to capture an audio stream in the environment of the wearer, and a display. A processor of each electronic eyewear device executes instructions to establish an always-on session with other electronic eyewear devices and selectively shares an audio stream, a video stream, or both with other electronic eyewear devices in the session. Each electronic eyewear device also generates and receives annotations from other users in the session for display with the selectively shared video stream on the display of the electronic eyewear device that provided the selectively shared video stream. The annotation may include manipulation of an object in the shared video stream or overlay images registered with the shared video stream.

Abstract: Provided are an information transmission method and apparatus. The method includes acquiring, according to one of a second type of information or a third type of information, the other one of the second type of information or the third type of information; or transmitting one piece of first signaling information including the second type of information and the third type of information. The second type of information includes at least one of a downlink control channel resource group, an uplink control channel resource group, a process number set, a transmission configuration indicator (TCI) state group, a spatial relation information group or an antenna group.

Abstract: Examples of methods are described herein. In some examples, a method includes determining a graph representation of a three-dimensional (3D) object based on a voxel representation of the 3D object. In some examples, the graph representation includes nodes corresponding to voxels of the voxel representation and edges associated with the nodes. In some examples, the method includes predicting, using a machine learning model, a sintering state of the 3D object based on the graph representation.