20results about How to "Small scale" patented technology

The application provides a kind of freight data pruning method, device and equipment, method includes: obtaining freight original data, delete the data of the flight owner pruning range outside of the freight original data;Delete the data in the freight original data that is outside the owner pruning range of freight;Remaining non-airline data is stored in release area;Remaining explicit airline data is stored in non-release area;Remaining implicit airline data is stored in non-release area;Iterate non-release data, migrate non-release data to release area or waiting area;Data in the release area is stored in file as pruned data file, and released to the data preprocessing module in the freight calculation system.The size of the freight data is reduced by deleting and arranging the freight original data, so that the pruned data does not lose and is not redundant.

The application discloses a kind of real-time adjustment method, device and equipment of image sharpness, it includes: receiving image to be handled, according to the sharpness adjustment model of pre-training completion to the image to be handled sharpness parameter adjustment;The image to be handled is preprocessed, and corresponding highlight image and shadow image are obtained;According to the feature extraction module, the highlight image and the shadow image are extracted, and highlight feature and shadow feature are obtained;By the degree modulation module, the preset adjustment parameter is modulated, and a plurality of sharpness modulation parameters are obtained;The highlight feature, the shadow feature and the sharpness modulation parameter are fused and processed, to obtain affine grid, and the affine matrix is obtained by upsampling operation to the affine grid;By the matrix mapping module, the image to be handled and the affine matrix are mapped, to obtain the generated image after sharpness adjustment.

The application discloses a method and system for eliminating near-surface porosity of a cast alloy workpiece, and belongs to the technical field of visual detection. The technical scheme comprises the following steps: obtaining three-dimensional point cloud data of a to-be-detected object, and selecting a query point in the three-dimensional point cloud data; determining a connected domain corresponding to each query point according to a preset growth rule; determining a defect area according to the connected domain, and judging whether elimination treatment needs to be performed according to porosity and area of the connected domain. Through analysis on a large amount of point cloud data, the position, shape and size of the connected domain can be accurately recognized, compared with traditional detection methods, such as visual detection or simple measurement tools, more detailed and accurate information can be provided by the application, small defect areas can be found, and the detection accuracy is improved.

The encoding device, the decoding device, and the non-transitory computer-readable medium. The decision-making process includes: a first process performed when the current block is a luma block, determining whether a condition is met, wherein the encoding mode of the current block is different from the encoding mode of the adjacent blocks, and the encoding mode of the current block and the encoding mode of the adjacent blocks are one of three encoding modes, namely intra-block copy mode, palette mode, and inter-frame mode, and determining the boundary strength as a first value or a second value based on the determination of whether the condition is met; and a second process performed when the current block is a chroma block, determining the boundary strength as a first value regardless of whether the condition is met, wherein in the determination of whether the condition is met, the encoding mode of the current block and the encoding mode of the adjacent blocks are one of intra-block copy mode and inter-frame mode.

This invention discloses a spatiotemporally integrated UAV image target tracking method, belonging to the field of aerial image processing technology. The method includes the following steps: Step 1, constructing a backbone network based on the VIT model; Step 2, constructing a network framework for a single-stream VIT model; Step 3, constructing a loss function based on contrastive learning; Step 4, adding a dynamic template update mechanism; Step 5, constructing two sequence decoder structures; Step 6, inputting the image and past sequences into the network to obtain the final tracking result. This invention provides a spatiotemporally integrated UAV image target tracking method. In the air domain, it designs a single-stream VIT-based backbone network and a contrastive learning-based loss function for small targets; in the temporal domain, it designs a dynamic template update mechanism and a trajectory prediction-based decoder to address background interference. These two structures together form a spatiotemporally integrated tracking algorithm, effectively improving the success rate and accuracy of target tracking from the UAV's perspective.

This invention discloses a feature denoising distillation method guided by Logit information, belonging to the field of model compression technology. The method includes: first, encoding the discriminative direction of the teacher classifier using a Logit discriminative encoder to ensure feature alignment along the semantic direction; then, constructing a feature denoising mask to emphasize the teacher's target attention region while suppressing redundant background responses, thereby achieving spatial-level denoising in the feature space. Finally, a feature denoising distillation framework guided by Logit information is designed to achieve model compression. This invention provides explicit semantic direction guidance through a Logit discriminative encoder, suppresses background and noise activation through a feature denoising mask, and integrates both into the intermediate feature distillation process between the teacher and student models. It systematically solves the problems of lack of Logit semantic guidance, severe background noise interference, and insufficient focus of the distillation target in existing technologies, achieving high-precision and highly compatible model compression and knowledge transfer.

The application discloses a kind of based on OSM data's expressway interflow node identification and network construction method, first acquisition and pretreatment OSM expressway network and service area data, extract the main line of specified attribute, ramp element and uniform projection coordinate system;Again, by calculating the physical intersection of main line and ramp, the best clustering radius is determined in combination with K distance diagram, interflow area is obtained by DBSCAN clustering and the first type of cutting point is generated, while merging uplink and downlink service area and projecting to generate the second type of cutting point;Based on two kinds of cutting points, the main line section is divided, the end point of the section is matched with the cutting point with an error value of 1.0 meter, interflow, service area and temporary node are generated, and an initial topology graph is constructed;Finally, delete the temporary node connected to only two road sections and simplify the network by merging edges, output structured node and edge data.The application solves the problems of inaccurate interchange identification, road network redundancy and missing service area topology in traditional methods, and realizes the automatic and high-precision construction of expressway logical road network, which is suitable for macroscopic traffic analysis and path planning.

The utility model relates to high pressure gas transfer filling and purification technical field, and disclose a kind of high pressure gas transfer filling and purification device, including including raw material tube bundle container, raw material gas pipeline, low-pressure buffer tank, medium-pressure compressor, purifier, medium-pressure buffer tank, high-pressure compressor, filling frame, product gas tube bundle container, product gas steel bottle group, regeneration buffer product gas bottle group, the raw material tube bundle container raw material is transferred to product gas tube bundle container by two medium-pressure compressors in compressor, it is equipped with purifier between medium-pressure compressor, high-pressure compressor, gas in raw material tube bundle container is sent to product gas tube bundle container or product gas steel bottle group after being purified. The high pressure gas transfer filling and purification device, when raw material gas tube bundle container pressure is higher than the minimum working pressure of purifier and the pressure of high-pressure product gas tube bundle container, can realize power-free purification and transfer filling of product gas, save about 40-50% energy consumption.

A small-scale and highly accurate biometric information acquisition device is provided. The acquired photoelectric pulse wave is converted into multiple frequency components using a Fast Fourier Transform (FFT). A portion of this data is quantized and input into a neural network (NN) for personal identification or emotion recognition. By quantizing the data to a low number of bits, a small-scale NN can be used, enabling high-speed decision-making. Furthermore, accuracy is improved by quantizing the data to reflect the symbolic representation. Due to the small size of the NN, biometric information acquisition and processing can be performed quickly and securely without the need for high-performance workstations in the cloud.

The application discloses a design method of a time-to-digital converter based on a negative feedback time error amplifier, and relates to the field of semiconductor integrated circuit chip design. Specifically, the application is characterized in that: a traditional time-to-digital converter with a single delay chain is analyzed, the relative error of two delays is taken as the conversion precision, a high-precision time-to-digital converter with a Vernier delay chain is designed, coarse adjustment is realized, a time-to-digital converter with a multi-stage phase interpolation technology is used to improve the precision, fine adjustment is realized, the coarse adjustment and the fine adjustment are combined, a time error amplifier is inserted, a high-precision time-to-digital converter based on a time error amplifier is obtained, and the output signal of an SR latch is fed back to the input, and a plurality of time-to-digital converters based on the time error amplifier are cascaded. According to the method that the output signal of the SR latch is fed back to the input, the overall linearity of the time error amplifier is improved, and the design freedom of the time-to-digital converter can be greatly improved by using the time error amplifier based on the negative feedback.

This invention relates to the field of order management technology, specifically disclosing a large-scale intelligent dispatching method and system for ride-hailing services. The method includes: acquiring multimodal dispatching data for orders; obtaining a dispatching dataset based on the multimodal dispatching data, and acquiring dynamic pick-up timeliness and regional supply-demand tension based on the dispatching dataset; acquiring driver status data near the order location, and generating a candidate order-driver set based on the driver status data, dynamic pick-up timeliness, and regional supply-demand tension; obtaining a screening and matching score for each driver based on the candidate order-driver set; and generating an output dispatching result based on the screening and matching score. This invention significantly improves the accuracy and speed of large-scale ride-hailing dispatching through the above-described processing steps from data acquisition, feature extraction, candidate screening, score calculation to dispatching output.

This invention discloses a rice blast resistance gene. Pilx SNP molecular markers, primer sets, and applications, wherein the SNP molecular markers are... Pilx The SNP molecular marker Pilx The polymorphic site is located on rice chromosome 12. Pilx The 18066332nd base of the gene is either T or C. This invention relates to a rice blast resistance gene. Pilx SNP molecular markers were used, and PARMS technology was applied to the reaction of rice materials. Pilx Genetic testing can rapidly and accurately detect rice blast resistance genes in different germplasm resources such as indica and japonica rice. Pilx .

The invention belongs to the technical field of gas separation, and provides a double-reflux pressure swing adsorption separation method for methane-nitrogen-oxygen mixed gas by a two-stage method. Feeding mixed gas from the bottom of the first-order high-pressure tower, outputting one part of gas extracted from the tower top, and flushing the first-order low-pressure tower with the other part of gas; produced gas at the bottom of the first-order low-pressure tower enters a second-order double tower; after first-order double-tower pressure equalizing, vacuumizing the original high-pressure tower to reduce to low pressure, and raising the original low-pressure tower to high pressure; the two towers exchange time sequences, and pressure swing adsorption is circularly carried out; gas produced from the tower bottom of the first-order low-pressure tower is fed from the tower bottom of the second-order high-pressure tower, at the moment, part of gas output from the tower bottom of the second-order low-pressure tower is output, the other part of gas output from the tower bottom of the second-order high-pressure tower is fed, and gas output from the tower top of the second-order high-pressure tower is circulated back to the first-order low-pressure tower; after second-order double-tower pressure equalizing, vacuumizing the original high-pressure tower to reduce to low pressure, and raising the original low-pressure tower to high pressure; the two towers exchange time sequences, and pressure swing adsorption is circularly carried out. The method can effectively separate the low-concentration mixed gas and improve the utilization rate of methane in the low-concentration methane coal bed gas.

A method and system for identifying fishing vessel operation modes based on neural networks. The method includes: acquiring historical operation data of fishing vessels of different operation types; preprocessing the historical operation data to obtain feature data for each fishing vessel's operation; wherein the feature data includes speed data and latitude and longitude data; performing feature filtering and extraction on the feature data to construct an input feature vector; building a neural network model based on the input feature vector and the fishing vessel's operation mode; training the neural network model to obtain a fishing vessel operation mode identification model; wherein the input feature vector includes a speed ratio feature vector and a latitude and longitude feature vector; inputting the fishing vessel operation data to be identified into the fishing vessel operation mode identification model to obtain a fishing vessel operation mode identification result; if the identification result differs from the fishing vessel's registered operation mode, it is determined to be an illegal operation mode.

The application provides a kind of satellite high-voltage magnetic isolation wide pulse signal transmission circuit, including pulse signal edge transmission circuit, pulse signal recovery circuit and pulse width limiting circuit;The leading edge and trailing edge position information of wide pulse control signal is transmitted from the primary isolation of the amplification driving transformer of pulse signal edge transmission circuit to the secondary, and the wide pulse signal is reformed through pulse signal recovery circuit, the pulse width of primary and secondary pulse signal is consistent, and the phase relationship is kept synchronous, while pulse width limiting circuit limits the output pulse width, realizes the isolated transmission of wide pulse signal.The application realizes the design goal of lossless and efficient transmission of pulse signal with arbitrary pulse width from low-voltage side to high-voltage side based on the circuit topology.

This invention relates to a data query method for a distributed database and a distributed database. The data query method includes: a computing node querying metadata information corresponding to a received query request; the computing node searching for data page information based on business information and regional information in the metadata information; the computing node determining the IP address corresponding to the data page information based on the correspondence between the data page information and IP addresses; the computing node sending the query request to the data node corresponding to the IP address; and the data node retrieving hot data corresponding to the query request from the data page corresponding to the IP address in its corresponding synchronization cache pool and returning it. This embodiment avoids retrieving hot data across shards or IPs, reducing the scale of distributed access, shortening access latency, and distributing concurrency pressure.

The utility model discloses a kind of bleaching powder concentrate mother liquor tail gas heat utilization system, belong to sodium method bleaching powder concentrate device engineering design and production operation technical field.Wet material inlet pipeline is connected with feeder, the output end of the feeder is sequentially connected with cyclone separator and cloth bag dust collector by rotary flash dryer, the output end of the cloth bag dust collector is connected with tail gas heat exchanger, and the output pipeline of air inlet pipeline is also connected with tail gas heat exchanger;The output end of tail gas heat exchanger is sequentially connected with air heat exchanger and rotary flash dryer by pipeline.The utility model utilizes tail gas to preheat air, can reduce the steam consumption needed for heating air, and reduce the equipment scale of air heat exchanger.

This invention discloses a system and method for producing high-value-added hydrocarbons from regenerated flue gas by coupling catalytic cracking and Fischer-Tropsch synthesis, addressing the problems of high carbon dioxide emissions, difficulty in enrichment and recovery, and low product added value in existing catalytic cracking units. The system includes a regenerator, a cyclone separator, a waste heat recovery system, and a flue gas pretreatment system connected in sequence. The outlet of the flue gas pretreatment system is connected to the inlet of the Fischer-Tropsch synthesis reactor via a flue gas compressor. A hydrogen feed pipeline is connected to the inlet of the Fischer-Tropsch synthesis reactor. The outlet of the Fischer-Tropsch synthesis reactor is connected to the inlet of a condensation and crude separation system. The condensation and crude separation system has a wastewater discharge outlet, a crude hydrocarbon product outlet, and a recycle gas outlet. The recycle gas outlet is connected to the inlet of the Fischer-Tropsch synthesis reactor via a pipeline, and the crude hydrocarbon product outlet is connected to a product separation system.

Embodiments of this application disclose a neural network structure search method, device, equipment, and storage medium. Among them, the method includes: sampling hyperparameters of a preset network model to obtain at least two sets of sample hyperparameters; generating network parameters of the preset network model based on each set of sample hyperparameters in the at least two sets of sample hyperparameters and preset candidate parameters; adjusting the model structure of the preset network model based on each set of sample hyperparameters to obtain a to-be-searched model corresponding to each set of sample hyperparameters; training the to-be-searched model based on preset optimization conditions, training data, and the network parameters to obtain a trained to-be-searched model corresponding to each set of sample hyperparameters; performing structure search on at least two trained to-be-searched models corresponding to the at least two sets of sample hyperparameters according to a preset metric to obtain a target model.

The application provides a cable-supported photovoltaic support vortex vibration response model construction method, and belongs to the technical field of cable-supported photovoltaic support detection. The application extracts modal parameters through fast Fourier transform, performs non-uniform sampling in a six-dimensional parameter space based on a sparse grid point distribution method, performs computational fluid dynamics numerical simulation on the sampling points to establish an aerodynamic force characteristic database, trains a vortex vibration response prediction model to output a vortex-induced lift coefficient, adopts a modal selection criterion based on energy proportion to retain key modes, adopts a symplectic geometry structure-preserving numerical integration algorithm to perform time-domain integration and solving, introduces a corotational coordinate system to perform geometric nonlinear correction, adopts an immersed boundary-lattice Boltzmann coupling method to update a fluid-structure coupling interface, adjusts an artificial intelligence model learning rate through an adaptive adjustment factor, judges convergence, and outputs vortex vibration response results, thereby solving the problem of excessive consumption of resources in vortex vibration response prediction and calculation of cable-supported photovoltaic supports.