Abstract: The present disclosure provides an image processing method and device. The image processing method includes: performing, by an encoder and a first model, multiple iterations on an initial image to obtain a target image feature corresponding to the initial image; and performing, by a second model, image reconstruction based on the target image feature to obtain a reconstructed image of the initial image, both of the first model and the second model being neural networks for image reconstruction, wherein in the multiple iterations, an image feature extracted by the first model in the image reconstruction and an output image of the first model are feedback information for the encoder to assist the encoder in encoding the initial image.

Abstract: Disclosed are a method and apparatus for compressing a topology recognition model, an electronic device, and a medium. The method includes: pruning a to-be-compressed model to obtain a pruned model, and training the pruned model to obtain a trained pruned model; quantifying a bit quantity of a weight parameter of each neural network layer in the trained pruned model from a first bit quantity to a second bit quantity to obtain a highly-quantified pruned model, and training the highly-quantified pruned model to obtain a trained highly-quantified pruned model; using the trained highly-quantified pruned model as the to-be-compressed model, continuously pruning and quantifying the to-be-compressed model until a compressed topology recognition model is obtained, and deploying the compressed topology recognition model on an Internet of Things in Power Systems (IOTIPS) terminal, to reduce a size of the topology recognition model while ensuring the topology recognition model meets an accuracy requirement.

Abstract: An indoor unit comprises a built-in heat exchanger and a radiant heat dissipation casing, the radiant heat dissipation casing serving both as a protective casing for the indoor unit and as a radiant heat sink. The radiation heat dissipation casing is arranged in parallel with the built-in heat exchanger. When users need to quickly adjust the indoor temperature, they can switch on the radiant heat dissipation casing and the built-in heat exchanger at the same time, and the radiant heat dissipation casing and the built-in heat exchanger will exchange heat together to quickly adjust the indoor temperature. Users can also choose to separately use the built-in heat exchanger to adjust the indoor temperature to meet the needs of different users and operation conditions. After the indoor temperature reaches the preset temperature, users can choose to switch off the built-in heat exchanger and keep the radiant heat dissipation casing on.

Abstract: An image generation system is described. The system comprises a neural network model configured to perform a diffusion process to generate a set of multi-view images from a same input prompt. The set of multi-view images have a same subject from different view orientation. The neural network model comprises a self-attention layer configured to relate pixels across the set of multi-view images.

Abstract: Disclosed is a ground wire spacer structure of a connector, comprising two groups of connector monoblocks that are symmetrical and spliced, wherein any group of the connector monoblocks comprise a housing provided with: a plurality of groups of elastic pieces, wherein one end of the elastic piece is connected to a female socket of the connector, and the other end of the elastic piece is connected to a wire group of the connector; a plurality of metal spacers distributed between two adjacent groups of the elastic pieces and used to separate the elastic pieces; and a conductive sheet mounted on the housing, wherein the conductive sheet is abutted against the plurality of spacers, the conductive sheet is connected to a ground wire in the wire group, and the metal spacers and the conductive sheet form a plurality of independent spaces for accommodating the elastic pieces respectively.

Abstract: A lithium-ion battery negative electrode with improved temperature rise performance, and a lithium-ion battery. The negative electrode comprises a negative electrode current collector and a negative electrode material applied to the negative electrode current collector, the negative electrode material containing a conductive agent, the conductive agent comprising SP and CNT, wherein the mass ratio of SP to CNT is 30-1500, preferably 35-100, more preferably 40-70, and further preferably 50-55. The lithium-ion battery comprises a positive electrode, a negative electrode, an electrolyte and a casing, wherein the negative electrode is the negative electrode for a lithium-ion battery as described above. In the present invention, the temperature rise performance of a lithium-ion battery is improved by using a variety of conductive agents and adjusting types and proportions within the conductive agent, without increasing the proportion of conductive agent in the electrode material formula.

Abstract: The utility model discloses a small-sized connector convenient for dismounting and mounting, the connector being inserted and received in a female socket of a PCB board, comprising: a connector housing inserted and received in the female socket; two elastic clamping plates, wherein the two elastic clamping plates are symmetrically mounted on both sides of the connector housing, first ends of the two elastic clamping plates are each provided with a clamping hole, and the female socket is provided with a clamping boss clamped with the clamping hole; and a pull strap, wherein both ends of the pull strap are respectively connected to second ends of the two elastic clamping plates, and the pull strap is used to pull the second ends of the two elastic clamping plates to separate the clamping holes at the first ends of the two elastic clamping plates from the clamping bosses of the female socket.

Abstract: The present disclosure provides an expression driving method and apparatus, and a training method and apparatus of an expression driving model. The expression driving method includes acquiring a first video; and inputting the first video into a pre-trained expression driving model to obtain a second video. The expression driving model is trained based on a target sample image and a plurality of first sample images. A facial image in the second video is generated based on the target sample image. A gesture expression feature of the facial image in the second video is the same as a gesture expression feature of a facial image in the first video.

Abstract: The present disclosure provides a central staged combustion chamber with self-excited sweeping oscillating fuel injection nozzles, including an outer housing with a cavity inside, a main stage coaxially disposed with the outer housing, and a pilot stage coaxially disposed with the outer housing. An annular fuel passage is used for connecting a plurality of self-excited sweeping oscillating fuel injection nozzles, and the self-excited sweeping oscillating fuel injection nozzles are suitable for injecting oscillating liquid fuel into a primary swirling passage. The fuel is output in a fan shape through each of the self-excited sweeping oscillating fuel injection nozzles and is dispersed by an incoming flow through the swirling passage, so that the atomization performance and spatial distribution uniformity of the fuel can be greatly improved.

Abstract: Techniques are provided for data replication using reinforcement learning to dynamically initiate the transfer of replication data. One method comprises obtaining a state for transferring replication data from a first storage system to a second storage system, wherein the state comprises an amount of replication data to be transferred to the second storage system; assigning a reward value to previously completed replication sessions based on whether a respective previously completed replication session satisfies a designated data recovery objective; determining a start time, using a reinforcement learning framework, for transferring the replication data to the second storage system, wherein the determining is based on the assigned reward values; and initiating the transfer of the replication data to the second storage system using the determined start time.

Abstract: An indoor unit apparatus of a split-type air conditioner and a method for using the same are provided, which can realize both of an impinging jet ventilation manner and a displacement ventilation manner. A thin air layer can be formed on the ground through using the indoor unit apparatus of a split-type air conditioner, and the indoor unit apparatus of a split-type air conditioner is adapted to be used both in summer and in winter.

Abstract: The present utility model discloses a connector for preventing signal interference, comprising: a connector housing; a plurality of groups of wires arranged in the connector housing, wherein any group of the wires comprise a signal wire and a ground wire, and the ground wires in the plurality of groups of the wires are connected in series; and a metal partition plate, wherein a plurality of spacers are arranged on the metal partition plate, the spacers are positioned on both sides of the wires to separate two adjacent groups of the wires, and the spacers are connected to the ground wires. The present utility model solves the problem of signal interference caused by the absence of an isolation structure between wires in the existing connector.

Abstract: A method of determining interaction information, an electronic device and a storage medium are provided, which relates to a field of artificial intelligence technology, in particular to a large model, a generative model, an NLP, an intelligent search and other fields. An implementation is to determine a plurality of questioning dimensions according to query information of a subject and historical query information, where each questioning dimension includes a dimension name and a plurality of options; determine a target questioning dimension from the plurality of questioning dimensions according to evaluation values of the plurality of questioning dimensions and whether semantic information of the plurality of questioning dimensions are consistent with semantic information of a query result associated with the query information; and determine the interaction information according to the dimension name and the plurality of options in the target questioning dimension.

Abstract: The present disclosure provides a method of generating an image with metallic texture, and a method of training a metallic texture image generation model. The method of generating an image with metallic texture includes: acquiring a first video; and inputting the first video into a pre-trained metallic texture image generation model to obtain a second video. Each frame of images in the second video is an image with metallic texture. The metallic texture image generation model is trained based on a plurality of first sample images and second sample images with metallic texture corresponding to each first sample image.

Abstract: The present disclosure provides a control method and control apparatus for a voltage source-type wind turbine.

Abstract: The present disclosure provides a video generation method and device. The video generation method includes: extracting a first image feature from a first image; obtaining a plurality of intermediate image features by means of nonlinear interpolation according to the first image feature and a second image feature, wherein the second image feature is an image feature of a second image; and performing image reconstruction by means of an image generation model based on the first image feature, the second image feature, and the plurality of intermediate image features, so as to generate a target video, wherein the target video is used for presenting a process of a gradual change from the first image to the second image.

Abstract: A method, an apparatus and a device for identifying battery parameters, and a storage medium are provided.

Abstract: Provided is a fully decoupled MEMS gyroscope, including an anchor point unit, a sensing unit elastically connected to the anchor point unit, and a driving unit configured to drive the sensing unit to move. The anchor point unit includes a center anchor point subunit located at a center of a rectangle and four side anchor points. The driving unit includes four driving members located on four sides of the rectangle. The sensing unit includes two X mass blocks symmetrically arranged in two avoiding intervals, two Y mass blocks symmetrically arranged in the other two avoiding intervals, four Z mass blocks respectively located at an outer side of each driving member, and four Z detection decoupling members respectively located at an outer side of each Z mass block. The X mass blocks and the Y mass blocks are respectively connected to each side anchor point.

Abstract: A target tracking method and device, relating to the field of vehicles. The method comprises: reading a target fusion list at the current moment, wherein the target fusion list comprises a target attribute set corresponding to each environment target in one or more environment targets, and the target attribute set comprises parameter attribute sets, measured by one or more sensors, of the environment targets; determining whether the target fusion list at the current moment is an initial target fusion list or not; and if the target fusion list at the current moment is not the initial target fusion list, determining a target tracking list at the current moment according to the target fusion list at the current moment and a stored target tracking list at the previous moment, wherein the target tracking list comprises a parameter attribute set corresponding to each screened environment target and a fusion tracking ID.

Abstract: A method for aggregation regulation optimization of an electric vehicle load by considering a comprehensive response coefficient is disclosed. The method includes the following steps: Step 1, collecting electric vehicle charging information; Step 2, based on the electric vehicle charging information collected in Step 1, calculating aggregation regulation response indexes for user participation, and determining a weight of each aggregation regulation response index; Step 3, based on the calculation result of each aggregation regulation response index for user participation obtained in Step 2, calculating a comprehensive response coefficient of an electric vehicle; and Step 4, performing the aggregation regulation optimization of the electric vehicle load by using minimum load power deviation determined by a dispatching scheme and an actually considered comprehensive response coefficient as a target and using a load rate, a peak-valley difference and a load fluctuation rate after dispatching as constraints.