Abstract: The present application relates to an atmosphere adjusting method, an atmosphere adjusting device, and an aroma diffuser. The method comprising: receiving a recognition result of a smell for a specific position; obtaining a corresponding table that indicates a corresponding relationship between the recognition result of the smell and light and/or melody; determining the light and/or the melody to be output from the corresponding table, according to the recognition result of the smell; and instructing output of the corresponding light and/or melody. The technical solution of the application implements the adjustment of light and/or melody in response to the smell indoor, which makes the light and/melody change with the change of smell, thereby creating a harmonious and unified atmosphere in seeing, hearing and smelling for users.

Abstract: The present disclosure relates to a method, a device, and related products for processing data. In an embodiment of the present disclosure, when processing data related to a neural network, an optimal truncation threshold value for a plurality of pieces of data is determined. The data is truncated through the truncation data threshold, and the plurality of pieces of data is quantized from a high-precision format to a low-precision format. The method in the present disclosure can ensure the precision of data processing as high as possible while reducing the amount of data processing. In addition, the method also helps to significantly reduce the amount of data transmission, thereby greatly accelerating the data exchange among a plurality of computing devices.

Abstract: This application relates to an electric vehicle, a thermal management system, and a method for controlling same. The thermal management system includes: a passenger compartment thermal management subsystem, including a compressor, a first throttle, and an evaporator configured to refrigerate the passenger compartment, where the compressor, the first throttle, and the evaporator are controlled to communicate with each other in sequence to form a first refrigerant circuit, the passenger compartment thermal management subsystem further includes a condenser, and the condenser is disposed between the compressor and the first throttle and able to exchange heat with the first refrigerant circuit; a heat emitting component thermal management subsystem, including a heat emitting component and a cooling water tank configured to cool the heat emitting component, and a control valve system, connected to the passenger compartment thermal management subsystem and the heat emitting component thermal management subsystem.

Abstract: A laser device and a laser projection equipment are provided.

Abstract: The present application relates to a method and system for storing data in a graph database. The method includes: separating a key-value structure of the storage engine and separately storing a graph structure and a graph property of graph data; and reading, by the compute engine, the graph structure, caching the graph structure for a short term in a single query request scenario, and caching the graph structure for a long term in a read-only analysis scenario. The present application resolves problems that engineering is complex and deep graph traversal performance is poor when graph data is processed, reduces engineering complexity, and improves the deep graph traversal performance.

Abstract: Disclosed is an imaging device for AMI diagnosis includes a first polarizer is arranged in an imaging part and a second polarizer is arranged in a light source part. These two are linear polarizers, and the polarization directions of the first polarizer and the second polarizer are perpendicular to each other. During the imaging process, a near-infrared beam emitted from a near-infrared light source is modulated into a linearly polarized light with a certain angle when passing through the second polarizer. Then, it is irradiated onto a subject and the light is reflected due to the specular reflection effect of the subject turns into a cross-polarized light when passing through the first polarizer. The linearly polarized light perpendicular to the polarization angle of the first polarizer is intercepted, that is, the reflected light is intercepted.

Abstract: A power supply device and a charging control method are provided. The power supply device includes a first-stage conversion circuit and a second-stage conversion circuit; the first-stage conversion circuit is used for converting a received alternating current voltage into a pulsating direct current voltage, the voltage value of the pulsating direct current voltage being greater than the voltage value of the alternating current voltage; the second-stage conversion circuit is connected to the first-stage conversion circuit, and used for converting the pulsating direct current voltage to output a constant direct current voltage.

Abstract: An image determination device according to the present disclosure includes: a trainer that obtains one or more first models by training machine learning models of one or more types with use of a first training data set including first images and first labels, and obtains one or more second models by training machine learning models of one or more types with use of one or more second training data sets each including second images different from the first images, second labels, and at least part of the first training data set; an image obtainer that obtains a target image; and a determiner that outputs a determination result of a label of the target image obtained by the image obtainer, which is obtained by using, for the target image, at least two models including one of the one or more first models and one of the one or more second models.

Abstract: First, a plurality of models that predict categories of input data are pooled. At least one of the plurality of models is a model trained by machine learning. Next, each of a plurality of hybrid model candidates that judge the categories are created by selecting and combining two or more models from among the plurality of pooled models. Then, by comparing the plurality of hybrid model candidates, one of the plurality of hybrid model candidates is selected as a hybrid model.

Abstract: A non-linear distortion compensation circuit includes: a first input terminal of a linear dynamic circuit is configured to input an audio signal, and an output terminal is separately connected to a first input terminal of a gain module and a first input terminal of a multiplier; a second input terminal of the gain module is configured to input the audio signal, and an output terminal is connected to a second input terminal of the multiplier; an output terminal of the multiplier is connected to a first input terminal of a non-linear inverse dynamic circuit; a second input terminal of the non-linear inverse dynamic circuit is configured to input the loudspeaker model parameter, and an output terminal is connected to a loudspeaker. A compression gain that is output by the gain module is used to compress, by using the multiplier, a linear signal that is output by the linear dynamic circuit.

Abstract: This application discloses an audio signal processing method and apparatus, an electronic device, and a storage medium. The method includes: determining, when a first audio signal is a single-frequency signal or a frequency-sweeping signal and a frequency point of the first audio signal belongs to a target frequency band, a power protection gain based on a power and the frequency point of the first audio signal; and performing compression processing on the first audio signal based on the power protection gain.

Abstract: An image processing method is provided, including: obtaining M images acquired by M cameras arranged around a target region; and based on a region in which a target subject is located in the M images, determining one primary camera from the M cameras, and determining N secondary cameras from the M cameras based on a first primary camera, where images acquired by the one primary camera and the N secondary cameras are used to generate a free-viewpoint video, and a region in which the target subject is located in the free-viewpoint video is related to a region in which the target subject is in an image acquired at a primary camera position. The primary camera and the secondary cameras are selected based on the region in which the target subject is located in each of the images acquired by the M cameras.

Abstract: The invention provides a power distribution and drive system for a remotely underwater operated vehicle ROV, comprises: a high-voltage DC power supply device, located above the water surface to provide high-voltage DC voltage to the ROV; a DC buck conversion device, connected to the high-voltage DC power supply device through a cable for converting the high-voltage DC voltage to a low-voltage DC voltage to supply power to the ROV, wherein the DC buck conversion device comprises multiple parallel DC conversion modules, each DC conversion module bearing an average load current to supply power to the ROV; and at least one thruster, which comprises a propeller, a synchronous motor, and a driver.

Abstract: A system may include a cluster and a module of the cluster. The module may include a user resource definition and a catalog server. The catalog server may maintain a configuration of the cluster.

Abstract: The present disclosure provides a data processing method, an apparatus, an electronic device and a medium, which relates to the technical fields of autonomous driving, electronic maps, deep learning, image processing, and the like. The method includes: a computing device inputs a reference image and a captured image into a feature extraction model; obtain, a set of reference descriptors based on the first descriptor map; determine a plurality of sets of training descriptors; obtain a predicted pose of the vehicle by inputting the plurality of training poses and a plurality of similarities into a pose prediction model; and train the feature extraction model and the pose prediction model. When applied to a vehicle localization system, the trained feature extraction model and pose prediction model according to some embodiments of the present disclosure can improve accuracy and robustness of vehicle localization, thereby boosting the performance of the vehicle localization system.

Abstract: A positioning method includes acquiring an image of an area where a target object is located at a first time instant and multiple frames of point cloud data of an area where the target object is located at multiple time instants, wherein the multiple frames of point cloud data include first point cloud data of the area where the target object is located at the first time instant. The method also includes determining a point cloud map according to the multiple frames of point cloud data and acquiring a target feature vector according to the first point cloud data, the point cloud map and the image. The method further includes determining a positioning result of the target object according to the target feature vector.

Abstract: The invention belongs to the field of polymers, and relates to an anhydride group-containing polypropylene graft for an insulating material and preparation method thereof. The anhydride group-containing polypropylene graft comprises structural units derived from a polypropylene copolymer, structural units derived from an anhydride monomer and structural units derived from an alkenyl-containing polymerizable monomer; the content of the structural units derived from the anhydride monomer and the alkenyl-containing polymerizable monomer and in a grafted state in the anhydride group-containing polypropylene graft is 0.

Abstract: The invention belongs to the field of polymers, and relates to a grafting-modified polypropylene material for an insulating material and preparation method thereof. The grafting-modified polypropylene material comprises structural units derived from a polypropylene copolymer and structural units derived from an alkenyl-containing polymerizable monomer; the content of the structural units derived from the alkenyl-containing polymerizable monomer and in a grafted state in the grafting-modified polypropylene material is 0.1 to 14 wt %; the polypropylene copolymer has at least one of the following characteristics: the comonomer content is 0.5 to 40 mol %; the content of xylene solubles is 2 to 80 wt %; the comonomer content in the xylene solubles is 10 to 70 wt %; the intrinsic viscosity ratio of the xylene solubles to the polypropylene copolymer is 0.3 to 5.

Abstract: The present application relates to a method and system for storing data in a graph database. The method includes: separating a key-value structure of the storage engine and separately storing a graph structure and a graph property of graph data; and reading, by the compute engine, the graph structure, caching the graph structure for a short term in a single query request scenario, and caching the graph structure for a long term in a read-only analysis scenario. The present application resolves problems that engineering is complex and deep graph traversal performance is poor when graph data is processed, reduces engineering complexity, and improves the deep graph traversal performance.