Abstract: The present application relates to systems and methods for trading assets taking into account carbon footprint of assets. The system is configured to allow a party to obtain carbon emission certificates and carbon emission redemption certificates from an offsetting activity in a country, and uses these to create a non fungible digital twin representing the offsetting activity which includes a time series of emission reduction smart contracts on a blockchain which are used to generate carbon neutrality tokens based on the amount of carbon emission reductions which can then be traded in any country. Similarly an asset holder can create a Non-Fungible Digital Twin (NFDT) representing the offsetting activity which includes a time series of asset smart contracts on a blockchain which capture the carbon footprint of the asset over time.

Abstract: This application provide a data processing method and apparatus, to store more user data in a limited quantity of storage chips in a design manner of reusing storage space corresponding to a second storage chip. In the method, a computer device first obtains user data, where the user data includes first data and second data. Then, the device writes the first data into a first storage chips, where a is an integer greater than 0. The device writes the second data and first check data into b second storage chips, where the first check data includes check data for the user data, and b is an integer greater than 0. In addition, the device writes second check data into c third storage chips, where the second check data includes check data for both the user data and the first check data, and c is an integer greater than 0.

Abstract: An image processing method and apparatus are provided. The method includes: obtaining an image; performing feature extraction on the image to obtain at least one first feature map, wherein the at least one first feature map includes N first feature values, and N is a positive integer; obtaining a target compression bit rate which corresponds to M target gain values, each target gain value corresponds to one first feature value, and M is a positive integer less than or equal to N; respectively processing corresponding first feature values based on the M target gain values to obtain M second feature values; and performing quantization and entropy encoding on at least one processed first feature map to obtain encoded data, wherein the at least one processed first feature map includes the M second feature values. According to the application, compression bit rate control is implemented in a same compression model.

Abstract: A method for co-producing molded food-container pulp and fulvic acid from cotton stalk, which belongs to the field of comprehensive utilization of crop straw resources. The method adopts digesting, defibering and bio-treating measures to remove pectin and hemicellulose and other anionic waste generating sources in cotton straw raw materials to obtain a pulp with low beating degree; and retains part of lignin to help form oil-proof and waterproof film of a molded food-container and improves the stiffness and water filtration of the molded food-container and increases a yield of fiber pulp; adopts ammonium sulfite method to pulping to meet fiber requirements while obtaining fulvic acid.

Abstract: This application discloses a clock synchronization method and a device, a storage medium. The method includes: obtaining M first clock offsets, M second clock offsets, and a third clock offset; determining a fourth clock offset based on the M first clock offsets, the M second clock offsets, and the third clock offset; and correcting a clock of a first host based on the fourth clock offset, to implement clock synchronization between the first host and a reference host. In this way, precision of clock synchronization between the first host and the reference host can be further improved, thereby reducing a clock synchronization error.

Abstract: This application provides a feature extraction system and a feature extraction method. The feature extraction system includes a first nonlinear activation function layer, a first convolution layer, at least one second convolution layer, and at least one third convolution layer. The first nonlinear activation function layer is located between the at least one second convolution layer and the at least one third convolution layer. The first convolution layer is configured to perform feature extraction on an input first feature map to obtain a second feature map, where a size of a convolution kernel of the first convolution layer is greater than or equal to 7. A third feature map is sequentially processed to obtain a fourth feature map by using the at least one second convolution layer, the first nonlinear activation function layer, and the at least one third convolution layer.

Abstract: A method includes: performing a plurality of times of first clustering processing on a plurality of training images based on a plurality of target features to obtain a plurality of first clustering results, where each of the plurality of first clustering results corresponds to one silhouette coefficient, and the silhouette coefficient indicates cluster quality; determining a first target clustering result based on the silhouette coefficients, where the first target clustering result includes M clustering categories; and performing second clustering processing on the plurality of training images based on the plurality of target features to obtain a second clustering result, where a quantity of clustering categories included in the second clustering result is M.

Abstract: An image processing method and apparatus are provided. The method includes: obtaining an image; performing feature extraction on the image to obtain at least one first feature map, wherein the at least one first feature map includes N first feature values, and N is a positive integer; obtaining a target compression bit rate which corresponds to M target gain values, each target gain value corresponds to one first feature value, and M is a positive integer less than or equal to N; respectively processing corresponding first feature values based on the M target gain values to obtain M second feature values; and performing quantization and entropy encoding on at least one processed first feature map to obtain encoded data, wherein the at least one processed first feature map includes the M second feature values. According to the application, compression bit rate control is implemented in a same compression model.

Abstract: A neural network model training method includes: constructing a first neural network architecture, where the first neural network architecture includes M basic unit layers, each of the M basic unit layers includes a plurality of basic units, and the plurality of basic units includes at least a first-type basic unit and a second-type basic unit; and obtaining a target model through training based on datasets respectively corresponding to a plurality of tasks and the first neural network architecture, where the target model includes a plurality of task paths, at least some of the plurality of task paths include N basic units selected from some of the M basic unit layers, and N<M.

Abstract: A decoding method includes a threshold determining mechanism such that that a controller chip can simultaneously perform calculation of a quantity of check equations that are not met by a bit and a bit flipping process. In addition, an algorithm for calculating the quantity of check equations that are not met by each bit is optimized.

Abstract: The present application relates to systems and methods for creating Non-Fungible Digital Twins (NFDT) of objects. The objects may be digital objects or real work assets which change over time, or have properties (e.g. carbon emissions) that change over time. An initial or birth NFT smart contract is created and published which is a digital twin of the object, and as the object changes, the changes are published to subsequent NFT smart contracts with a link to the previous smart contract or the birth smart contract such that the birth smart contract and plurality of subsequent object contracts form a time series of object smart contracts which define a dynamic unique Non-Fungible Digital Twin (NFDT) representation of the object.

Abstract: Embodiments of this application provide a data storage method, a data reading method, and a related device. The method includes: obtaining output data from a processor, where the output data includes target data to be written into a memory and poison data indication information corresponding to the target data, and the poison data indication information indicates whether the target data is poison data; and writing preset data into the memory based on the poison data indication information, or writing to-be-written data determined based on the target data into the memory. In the foregoing technical solution, the poison data can be indicated without sacrificing a parity bit. Therefore, according to the foregoing technical solution, the poison data stored in the memory can be identified, and a problem that an error correction capability is degraded due to sacrifice of the parity bit is avoided.

Abstract: An image processing method includes obtaining a to-be-processed image; and obtaining a to-be-corrected line segment, through filtering based on at least one inertial measurement unit (IMU) information and a field of view that are included in metadata, from line segments included in the to-be-processed image. The to-be-processed image includes at least one of a vertical line segment and a horizontal line segment in a first scenario photographed by a photographing device. The method further includes correcting the to-be-corrected line segment and a feature region of the to-be-processed image to obtain a processed image, where the feature region includes a background region, a portrait region, and an edge region.

Abstract: Embodiments of this application disclose an indoor positioning method, a communication system, and a related device. The method in embodiments of this application includes an indoor terminal device receives first location information of a network device and second location information of a reconfigurable intelligent surface, to obtain a first reference signal, where the first reference signal is obtained by the reconfigurable intelligent surface by reflecting a location reference signal from the network device. The indoor terminal device determines a target location of the terminal device based on the first reference signal, the first location information, and the second location information.

Abstract: A process for producing binderless formaldehyde-free fiberboard and coproducing fulvic acid from straw. All-element purification, activation, saccharification and separation are carried out on the non-wood fiber raw material through boiling and defibering to obtain primarily activated lignin, purified and activated fibers, monosaccharides of hemicellulose and non-wood fibers, and fulvic acid. Deep activation is carried out on activated lignin. The binderless formaldehyde-free fiberboard is produced by using sufficiently activated lignin and low-molecular-weight monosaccharides as a hardener and binder. By sufficiently activating the lignin, comprehensive utilization of straw fiber as resources is realized, and the special requirements of binderless formaldehyde-free fiberboard for high-quality fibrous raw material and high-activity lignin are met.

Abstract: The present application relates to systems and methods for trading assets taking into account carbon footprint of assets. The system is configured to allow a party to obtain carbon emission certificates and carbon emission redemption certificates from an offsetting activity in a country, and uses these to create a non fungible digital twin representing the offsetting activity which includes a time series of emission reduction smart contracts on a blockchain which are used to generate carbon neutrality tokens based on the amount of carbon emission reductions which can then be traded in any country. Similarly an asset holder can create a Non-Fungible Digital Twin (NFDT) representing the offsetting activity which includes a time series of asset smart contracts on a blockchain which capture the carbon footprint of the asset over time.

Abstract: This application provide a data processing method and apparatus, to store more user data in a limited quantity of storage chips in a design manner of reusing storage space corresponding to a second storage chip. In the method, a computer device first obtains user data, where the user data includes first data and second data. Then, the device writes the first data into a first storage chips, where a is an integer greater than 0. The device writes the second data and first check data into b second storage chips, where the first check data includes check data for the user data, and b is an integer greater than 0. In addition, the device writes second check data into c third storage chips, where the second check data includes check data for both the user data and the first check data, and c is an integer greater than 0.

Abstract: A graph refactorization method is provided, and relate to the field of communication technologies, to implement parallel graph processing with load balancing, low communication costs, and short execution time. The method includes: A first machine selects a first vertex from a local vertex set of a subgraph (S801). If a degree of the first vertex is less than or equal to a first preset threshold, the first machine fuses the first vertex and an adjacent vertex within a preset quantity of hops of the first vertex in the local vertex set into a super-vertex (S802). If the degree of the first vertex is greater than or equal to a second preset threshold, the first machine copies the first vertex to obtain N sub-vertices, and divides edges of the first vertex in the subgraph of the first machine into N parts to respectively connect to the N sub-vertices (S803).

Abstract: This application relates to the field of wireless communication technologies, and discloses a terminal scheduling method and apparatus, to reduce interference between terminals. A centralization device determines, based on information of a terminal, mutual interference between a terminal in a first cell and a terminal in a second cell when the terminal in the first cell and the terminal in the second cell are scheduled on a first time-frequency resource; and determines whether the terminal in the first cell and the terminal in the second cell are allowed to be scheduled on the first time-frequency resource. This can reduce strong interference between the terminals.

Abstract: The present disclosure relates to capacity planning methods and apparatus. One example method includes matching a distribution model based on a quantity of service packets in each transmission time interval within specified duration to obtain a matched first distribution model, matching a distribution model based on a length of the service packets to obtain a second distribution model, and performing bandwidth control based on the first distribution model, the second distribution model, a distribution parameter of the first distribution model, and a distribution parameter of the second distribution model.