Abstract: A network search method includes presetting, by a terminal device, a Public Land Mobile Network (PLMN) and a networking mode associated with the PLMN, searching, by the terminal device based on a geographical location to obtain PLMN information of a current geographical location, determining, by the terminal device based on the preset PLMN and the networking mode associated with the PLMN, a current networking mode of the terminal device, and switching, by the terminal device, the networking mode based on a geographical location, signal strength, and a system message.

Abstract: An online system presenting content items to a user generates a model that predicts a latent metric describing user actions that occur at least a reasonable amount of time after presentation of content items. To determine the latent metric, the online system retrieves one or more models predicting likelihoods of the user performing various interactions when presented with the content items and determines weights associated with different retrieved models. Combining the weighted retrieved models generates a model for determining the latent metric. As the retrieved models are based on data accessible to the online system in less than the reasonable amount of time after presenting content items, weighing the retrieved models allows the online system to predict the latent metric describing user actions occurring after content items are presented. When selecting content items for the user, the online system accounts for the latent metric determined by the generated model.

Abstract: A display device is disclosed. The display device includes a display module, a peripheral member, and a cover glass. The peripheral member is disposed on the display module and partially overlaps the display module. The cover glass is disposed on the peripheral member. The peripheral member includes a color filter layer.

Abstract: A display device is provided. The display device includes a display having a display area. The display includes a first substrate and an antistatic layer. The first substrate has a first side and a second side, the second side is opposite to the first side. The antistatic layer is disposed on the first side and has a plurality of hollow areas. At least a portion of the antistatic layer overlaps the display area in a normal direction of the first substrate.

Abstract: This application provides a method for returning from a low-standard network to a high-standard network, to resolve a problem that a primary card of a terminal device in dual SIM dual standby single pass mode cannot return to the high-standard network after falling back from the high-standard network to the low-standard network during a data service. The method includes: detecting that a first subscriber identification module SIM card of the terminal device falls back from a first-standard network to a second-standard network; obtaining a registration status of a second SIM card, where the registration status includes an operator of the second SIM card and a network on which the second SIM card camps, and the first SIM card and the second SIM card enable the terminal device to work in the dual SIM dual standby single pass mode; obtaining a target standard network based on the registration status of the second SIM card; and registering the first SIM card with the target standard network.

Abstract: Systems and methods are provided for segmenting a data frame to be acquired into a number of incremental data of equal data length. A first incremental data of the data frame can be acquired from one or more sensors. The first incremental data of the data frame can be processed while a next incremental data of the data frame is being acquired from the one or more sensors. The acquiring and processing of incremental data of the data frame can continue until a last incremental data of the data frame is acquired and processed. Processed incremental data can be outputted as a processed data frame.

Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Abstract: A lens mount apparatus mountable on a vehicle and a method for controlling a lens mount apparatus are described. The lens mount apparatus includes a plurality of lenses concentrically arranged around a center, and the plurality of lenses include a first lens having a first focal length and a second lens having a second focal length that is shorter than the first focal length. The method includes positioning one of the plurality of lenses, such that one of the lenses that has a focal length suitable for capturing an object is used for image capturing.

Abstract: The present invention relates to a process for producing a plurality of hollow inorganic nanoparticles, which process comprises: (a) contacting a first monomer and a second monomer in a solvent to produce a composition comprising the solvent and a plurality of polymer nanoparticles; (b) adding an inorganic compound precursor to the composition comprising the solvent and the plurality of polymer nanoparticles to produce a composition comprising the solvent and a plurality of inorganic compound-coated polymer nanoparticles; (c) adding an additional amount of the first and second monomers to the composition comprising the solvent and the plurality of inorganic compound-coated polymer nanoparticles to produce a composition comprising the solvent and a plurality of composite nanoparticles; and (d) heating the plurality of composite nanoparticles to produce the plurality of hollow inorganic nanoparticles, wherein in step (a) the first monomer and the second monomer are contacted in the solvent at a temperature of a

Abstract: An online system receives multiple candidate components for including in content items to be presented to online system users. Upon identifying an opportunity to present content to a subject user of the online system, the online system dynamically generates an optimal content item for presentation to the subject user that includes one or more candidate components. Candidate components included in the optimal content item are selected by predicting an affinity of the subject user for each candidate component. The affinity of the subject user for a candidate component may be predicted using a machine-learned model that is trained using historical performance information about content items including the candidate component that were presented to viewing users of the online system having at least a threshold measure of similarity to the subject user. Components of content items used to train the model may be selected using a heuristic (e.g., Thompson sampling).

Abstract: An adaptive filter system and a method for controlling the adaptive filter system are described herein. The system can includes one or more filters to attenuate incoming light. The one or more filters can be moved by one or more actuators. The method can capture image data from an imaging device through the one or more filters. Information can be determined from the captured image data. The one or more filters can be moved to a position for capturing image data based on the information.

Abstract: A number-of-people detection system includes at least one binocular camera and a computing circuit. A lens of the binocular camera is configured to capture at least one image of a target area. The computing circuit is electrically connected to the binocular camera, wherein the binocular camera is adapted to transmit the captured image to the computing circuit for analysis. When the captured image of the binocular camera shows that at least one human body in the target area, the computing circuit analyzes the captured image of the binocular camera and calculates a distance from the human body to the binocular camera by using a binocular vision method to determine a three-dimensional world coordinate relationship between the human body and the target area, so as to determine a number of people located in the target area.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to characterize optical characteristics of optical elements. An optical element mount may be configured to carry an optical element. A calibration display may be configured to display a calibration object. The calibration object may include a known visual pattern. Multiple images of the calibration object may be obtained. The multiple images may be acquired using the optical element carried by the optical element mount. The multiple images may include different perspectives of the calibration object. Optical characteristics of the optical element may be characterized based on the known visual pattern and the different perspectives of the calibration object.

Abstract: The present invention provides a composition, a gypsum board and their preparation method and the use of ascorbic acid as an anti-sagging additive in a gypsum board. Said gypsum board comprises set gypsum prepared from the composition; while said composition comprises hemi-hydrate gypsum, water and a compound comprising group and no carboxylate groups. The set gypsum prepared from the said composition shows better anti-sagging or deformation resisting property. The gypsum board of the present invention is hardly distorted and has stronger stability even in the condition of high humidity, thus improve the quality of the gypsum board to meet the demands of the customer.

Abstract: A set of sensor information may include first sensor information generated based on a first sensor of a first vehicle and second sensor information generated based on a second sensor of a second vehicle. Individual sensor information may characterize positions of objects in an environment of individual sensors. Relevant sensor information for a vehicle may be determined based on the set of sensor information and a position of the vehicle. The relevant sensor information may characterize positions of objects in a maneuver environment of the vehicle. A desired navigation of the vehicle in the maneuver environment of the vehicle may be determined based on the relevant sensor information. An instruction may be provided to the vehicle based on the desired navigation of the vehicle. The instruction may characterize one or more maneuvers to be performed by the vehicle to execute the desired navigation.

Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to facilitate prioritization of vehicle navigation. One or more vehicles in an environment of a priority vehicle may be identified. Priorities of the vehicle(s) and the priority vehicle may be determined. A desired navigation of the priority vehicle in the environment may be determined based on the priorities of the vehicle(s) and the priority vehicle. An instruction may be provided to at least one of the vehicle(s) based on the desired navigation of the priority vehicle in the environment. The instruction may characterize one or more maneuvers to be performed by the at least one of the vehicle(s) to facilitate the desired navigation of the priority vehicle.

Abstract: An adaptive filter system and a method for controlling the adaptive filter system are described herein. The system can includes one or more filters to attenuate incoming light. The one or more filters can be moved by one or more actuators. The method can capture image data from an imaging device through the one or more filters. Information can be determined from the captured image data. The one or more filters can be moved to a position for capturing image data based on the information.