Abstract: Provided is graphene-embraced particulate for use as a lithium-ion battery anode active material, wherein the particulate comprises primary particle(s) of an anode active material and multiple sheets of a first graphene material overlapped together to embrace or encapsulate the primary particle(s) and wherein a single or a plurality of graphene-encapsulated primary particles, along with an optional conductive additive, are further embraced or encapsulated by multiple sheets of a second graphene material, wherein the first graphene and the second graphene material is each in an amount from 0.01% to 20% by weight and the optional conductive additive is in an amount from 0% to 50% by weight, all based on the total weight of the particulate. Also provided are an anode and a battery comprising multiple graphene-embraced particulates.

Abstract: Described herein are methods and systems for keyframe-based object scanning and tracking. A sensor device captures images of objects in a scene. For each image, a computing device labels each of at least a plurality of pixels in the image, tracks at least one region of the labeled image to determine an estimate of a current pose of at least one object, validates the estimate of the current pose of the at least one object, selects the labeled image as a keyframe based upon validation of the estimate of the current pose, and updates a volumetric model comprising the at least one object using the keyframe. The computing device generates a final 3D model of the at least one object based upon the updated volumetric model.

Abstract: A method for positioning network devices includes receiving network parameters for a network and determining corresponding installation locations for the end devices based on the network parameters. The network includes at least one network backhaul, relay devices in communication with the network backhaul, and end devices in communication with the relay devices or the network backhaul. The end devices are configured to wirelessly communicate with user devices at the corresponding user locations. The method also includes determining communication connections between at least one of: the end devices and user devices; the relay devices and the at least one network backhaul; the relay devices and the end devices; or the end devices and the at least one network backhaul. The method further includes generating a network topology indicating the determined corresponding locations for the end devices and the determined communication connections.

Abstract: An embodiment of the invention provides a method where an air quality forecast having an air quality turning point is received. A processor identifies an updated air quality turning point based on weather observation information. An air quality forecast at the updated air quality turning point is generated with the weather observation information and human input, which can include human knowledge from a weather expert or an air quality expert. An air quality forecast for a first time period directly prior to the updated air quality turning point is generated with the air quality forecast at the updated air quality turning point and the human input. An air quality forecast for a second time period directly after the updated air quality turning point is generated with the air quality forecast for the first time period, the air quality forecast at the updated air quality turning point, and the human input.

Abstract: A mechanism is provided for forecasting air pollution. One or more air-pollution monitoring stations correlated to a forecasting point from a plurality of air-pollution monitoring stations are identified. For the one or more air-pollution monitoring stations that correlate to the forecasting point, one or more patterns of the forecasting point, historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point are identified. Based on the one or more patterns of the forecasting point, the historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and the one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point, a pollution forecast is provided.

Abstract: Described herein are methods and systems for dynamic real-time texture alignment for three-dimensional (3D) models. A computing device receives input images of objects in a scene, and generates a 3D model for at least one of the objects, comprising a plurality of mesh triangles. The computing device projects each mesh triangle of the 3D model to one of the input images. The computing device measures a texture discontinuity between adjacent mesh triangles of the projected image by comparing color differences in a shared edge of the adjacent mesh triangles. The computing device translates a texture associated with the adjacent mesh triangles in different directions to create texture candidates. The computing device applies the texture candidates to the corresponding mesh triangles until a seamless texture join is formed on the shared edge. The computing device generates a textured 3D model using the 3D model, the projected image, and the texture candidates.

Abstract: The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

Abstract: The disclosure provides an electronic apparatus, a charging method and a non-volatile computer readable recording medium. The electronic apparatus includes a power module and a processor coupled to the power module. The processor is configured to: obtain a charging start time point of the power module; estimate a charging recovery time point according to usage state information; when an electric quantity of the power module is greater than or equal to a first electric quantity, stop the power module from being charged continuously; and at the charging recovery time point, enable the power module to be charged to a second electric quantity, where the second electric quantity is greater than the first electric quantity.

Abstract: A method and apparatus for predicting ice coating status on transmission lines. In one embodiment of the present invention, there is provided a method for predicting ice coating status on transmission lines, including: collecting real-time meteorological data from at least one meteorological sensor; generating a meteorological element predicted value based on the real-time meteorological data, an initial field and a weather forecasting model; and obtaining a set of lines that meet ice coating conditions among the transmission lines, based on the meteorological element predicted value and attribute information of the transmission lines. In one embodiment of the present invention, there is provided an apparatus for predicting ice coating status on transmission lines.

Abstract: A method for modeling air pollution includes receiving a weather model for a particular geographic region. Satellite-observed pollution observation data over the geographic region is received. A physical dispersion model for pollution over the geographic region is generated using the received weather model. The received satellite-observed pollution observation data is interpolated to the generated physical model. The interpolated satellite-observed pollution observation data and the generated physical model are combined using weighted coefficients for both the interpolated satellite-observed pollution observation data and the generated physical model. The weighted coefficients are calculated in accordance with a relative error in both the physical dispersion model and the satellite-observed pollution observation data.

Abstract: A method and a device for predicting insulator pollution grade includes acquiring prediction data affecting the insulator pollution grade; acquiring current pollution status of the insulator; predicting the insulator pollution grade based on the prediction data, the current pollution status and an insulator pollution grade calculating model, wherein the insulator pollution grade calculating model at least comprises an initial pollution status variable of the insulator, and a pollutant accumulation prediction and a pollutant reduction prediction based on the initial pollution status variable, at least one of the accumulation prediction and the reduction prediction being associated with the prediction data, and the initial pollution status variable being associated with the current pollution status.

Abstract: A system, method and computer program product for tracking and identifying a polluted air mass's transmission trajectory in real 3-D space. In one aspect, a polluted air mass's transmission path identification is based on a monitoring of PM2.5 concentration in cubic volumes of an air mass. The method computes a transmission path of polluted air that considers wind-pressure conversion, the displacement estimation with mass concentration, and planetary boundary layer (PBLP height constraint) for 3-D cubic grids. The resultant determination of a polluted air mass's transmission trajectory in real 3-D space generates more practical and reliable results for intensive knowledge of the transport pathways and potential pollution sources in real 3-D space.

Abstract: This disclosure relates to an account filtering method and apparatus.

Abstract: Embodiments of the present disclosure disclose a method and a device for predicting character behaviors of a non-player character in a game.

Abstract: A method and an apparatus for pushing a live broadcast video are provided. The method includes obtaining plural live broadcast videos related to a live broadcast theme, the live broadcast videos including live broadcast videos enabled after a participation entrance of the live broadcast theme is triggered. Tags of the plurality of live broadcast videos are obtained. The tags correspond to video display locations on a live broadcast theme page of the live broadcast theme in a one-to-one correspondence. The tags are added to the live broadcast videos. A live broadcast video to which the tags have been added is selected as a target live broadcast video. The selected target live broadcast video is pushed to the live broadcast theme page in real-time, the target live broadcast video being played at a corresponding display location on the live broadcast theme page.

Abstract: A method for managing a database, each item of data in the database being associated with a timestamp and a data point, the timestamps being used as row keys for rows of a table in the database, the method comprising: obtaining a behavior characteristic of a user based on a previous data access to the database by the user; partitioning columns in the table into column families based on the obtained behavior characteristic and system configuration of the database; and causing data in the database to be stored in respective column families at least in part based on the associated data point.

Abstract: The present invention proposes a lightning forecast method, comprising: identifying a Targeted Weather of SDA carrier (TWLC) based on radar reflectivity data; forecasting a future TWLC state based on the identified TWLC; building or updating an SDA model based on SDA observation data and detected TWLC state-related data; and calculating the probability of producing SDA in the forecasted future TWLC according to the SDA model.

Abstract: The present invention proposes a lightning forecast method, comprising: identifying a Targeted Weather of SDA carrier (TWLC) based on radar reflectivity data; forecasting a future TWLC state based on the identified TWLC; building or updating an SDA model based on SDA observation data and detected TWLC state-related data; and calculating the probability of producing SDA in the forecasted future TWLC according to the SDA model.

Abstract: A graph centrality determining method includes sampling, at least twice, nodes that are sequentially-connected and connection edges between the nodes, in an original graph representing a network structure, to obtain sampled sub-graphs, determining an influence of each of nodes in the sampled sub-graphs, forming a graph centrality determining result of each of the sampled sub-graphs, based on the influence of each of the nodes in the sampled sub-graphs, determining result of each of the sampled sub-graphs, to the original graph, to obtain an influence of each of the nodes in the original graph, clustering the influence of each of the nodes in the original graph, sorting the influence of each of the nodes in the original graph in descending order of a result of the clustering, and obtaining a predetermined quantity of nodes having influences that are top-ranked, in the original graph.

Abstract: A data processing method includes obtaining sample data of event execution of a game client, and performing preprocessing on the sample data to obtain a plurality of layers of data combinations. Each layer of the plurality of layers of data combinations corresponds to a target event object in a same target event, different layers correspond to different target event objects in the target event, and the target event objects are event objects on the game client to be executed concurrently. The method also includes performing processing on each layer of data combinations according to a preset processing algorithm, to obtain a processing result of each layer of data combinations, and performing consolidation processing on the processing result to obtain a target instruction. The target instruction is used for instructing the game client to concurrently execute the different target event objects corresponding to the different layers of data combinations.