246results about How to "Save storage resources" patented technology

The invention discloses a high-compression-ratio image compression method based on optimal transmission mapping, which is suitable for application scenes such as network transmission, image storage and image transmission, and can remarkably improve the image transmission efficiency and save network bandwidth and storage resources. Compression can be carried out based on generative adversarial learning or a diffusion model, and the generative adversarial learning is utilized by the generative adversarial learning to train an image compression model based on optimal transmission mapping. The model comprises a feature extraction layer, a mapping layer, a quantization coding layer and a decoding reconstruction layer. The mapping layer realizes mapping and optimization of image features through optimal transmission mapping based on convex mapping; an image compression model of the latter comprises a feature extraction layer, a mapping layer, a quantization coding layer and a decoding reconstruction layer, the feature extraction layer is responsible for coding the preprocessed image into low-dimensional feature representation, quantized features are restored into image features through a denoising network of a diffusion model, and the decoding reconstruction layer is responsible for decoding the image. And decoding the image into a high-quality compressed image close to the original image.

The invention discloses a flow-based local message classification method and device, and relates to the field of message classification, and the method comprises the steps: carrying out the parallel comparison of a keyword of a to-be-classified message with a keyword temporarily stored in a shift register, obtaining a comparison result, and generating an index matching result through an arbiter according to the comparison result; according to the locality principle of a message flow, historically queried table item information is cached into a dynamic cache table, an arbiter arbitrates a comparison result of a shift register, calculates an offset address of the dynamic cache table and obtains a matching result, and whether an original rule table needs to be queried and whether a dynamic cache table memory needs to be updated are determined according to a search result. Under the condition that the matching is unsuccessful, the dynamic cache table memory can guide the same message to directly use the offset address to obtain the table item information in the next search without searching from an original rule table, so that the hit rate is increased, the matching efficiency is improved, and the storage resources are saved.

The invention provides a zero-copy rapid transceiving device, a data sending method and a data receiving method, and relates to the technical field of network communication, the zero-copy rapid transceiving device comprises a network card in which a direct memory access controller and an associated annular cache region are configured; the kernel protocol stack is configured with a data cache structure body, and a data pointer of the data cache structure body and a packet descriptor of the annular cache region are configured to point to the same memory region; when the network card receives external data, the direct memory access controller copies the data to the memory area according to the direction of the packet descriptor so that the data can be processed by the kernel protocol stack, and when the kernel protocol stack sends the data, the data is copied to the memory area according to the direction of the data pointer so that the data can be sent by the direct memory access controller. The method has the beneficial effects that data copying is not needed in a driving layer message data processing process, so that storage resources are effectively saved, the load of a CPU (Central Processing Unit) is reduced, and the network bandwidth and the system performance are effectively improved.

The invention provides a voiceprint coding method, a voiceprint coding network training method and electronic equipment, and relates to the technical field of natural language processing, and the voiceprint coding method comprises the steps: obtaining to-be-processed audio data and target mask data corresponding to the to-be-processed audio data; the target mask data is used for representing an application intention of the to-be-processed audio data; and inputting the to-be-processed audio data and the target mask data into a trained voiceprint coding network, so that the voiceprint coding network fuses and reasones a coding result suitable for the application intention based on the to-be-processed audio data and the target mask data. According to the method and the device, the voiceprint coding network can be helped to better learn convergence, the situation that the convergence effect of non-convergence or different application intentions is some good and some bad is avoided, the same trained voiceprint coding network is adopted to generate the coding result for the to-be-processed audio data of different application intentions, the parameter scale can be reduced, and storage resources are saved.

The application provides a low-grade oil reservoir water injection development effect evaluation method, comprising the following steps: S1, collecting core scale limit oil displacement efficiency data; S2, collecting well pattern controlled reserve degree data; S3, calculating sweep efficiency of the low-grade water drive oil reservoir; S4, correcting the sweep efficiency according to the changes of reservoir physical property parameters caused by near-well pollution and reservoir energy decline; and S5, calculating the reference recovery rate and evaluating the development effect. The application can effectively avoid collecting and arranging a large number of cumbersome production dynamic data, fully utilize the flow characteristics and dynamic physical property parameter evolution of the low-grade oil reservoir, accurately evaluate the development effect of the low-grade oil reservoir, and be beneficial to efficient development of the low-grade oil reservoir.

The invention provides a board end encryption communication processing method and device, electronic equipment and a vehicle. The method comprises the following steps: receiving a communication message sent by a sending end through plate end encryption communication, and recording the communication message in a database; whether the communication message is a default message or not is judged, and when the sending end breaks down, the default message is sent through board end encryption communication; in response to determining that the communication message is a default message, judging whether the default message is received for the first time; in response to determining that the default message is received for the first time, recording a message fault; or, in response to determining that the default message is not received for the first time, stopping the message fault recording. According to the message fault recording method and device, message fault recording can be carried out on the default message received for the first time, recording of the message fault of the default message not received for the first time is stopped, in this way, the message fault is recorded for one time corresponding to the default message, fewer storage resources are occupied, and the probability of false alarm of the fault can be reduced.

The invention relates to a quick expansion method based on run length coding, which comprises the following steps of: S1, taking a binary image as an input region and carrying out run length coding to obtain a run length; inputting expansion parameter height and width; s2, judging whether the height and width of the expansion parameters are less than or equal to 0; s3, judging whether the input area is rectangular or not; s4, calculating the number of possible maximum distribution runs, wherein the maximum run number is obtained by multiplying the run number of the input area by the input expansion height; s5, calculating the number of times required to be iterated; s6, executing expansion in the horizontal direction; s7, expansion in the vertical direction is executed; and S8, merging all the moved run length codes. According to the method, the run length coding technology is introduced, the algorithm execution process and the data representation mode are optimized, the defects and problems existing in the prior art are solved from the aspects of storage, calculation, internal storage, real-time performance and the like, the efficiency and performance of binary image expansion operation are improved, and important technical progress is brought to the field of image processing.

The invention relates to a wave band self-adaptive hyperspectral image compression method based on semantic guidance. According to the method, a compression task and a classification task are unified under the same framework, and a natural relation between a spectral curve and a semantic category is utilized to apply category constraint to a spectral structure, guide generation of spectral information of a reconstructed image, and relieve adverse effects of spectral structure mutation on a compression process and subsequent hyperspectral image analysis and interpretation. According to the method, semantic information of ground features under a high compression ratio is effectively reserved, and the adverse effect of lossy compression on downstream task analysis and interpretation is relieved while bandwidth and storage resources are saved. Besides, the compression framework can process the hyperspectral data of any wave band, and does not need to train an independent model according to the hyperspectral images of different wave bands, so that the storage cost of the compression model is reduced.

The invention provides a threat assessment and multi-dimensional detection system and method for a malicious container mirror image. The system comprises a user interaction node which is used for interacting with a user, sending various tasks, receiving corresponding results and outputting a detection report; the data acquisition node is used for downloading a mirror image description file and a mirror image configuration file from the container mirror image warehouse according to a data acquisition task, and downloading a mirror image layer file as required; the information analysis node is used for analyzing the multi-dimensional information of the container mirror image and extracting a command and a file which are executed by default when the container is started; and the threat detection node is used for analyzing the detected and extracted command and file and evaluating the threat degree of the container mirror image. According to the method, the file actually executed in the container mirror image is quickly positioned by analyzing the multi-dimensional information of the mirror image, threat evaluation and multi-dimensional detection of the malicious container mirror image can be realized without downloading the complete mirror image, the bandwidth and storage and computing resources in the mirror image detection process are greatly saved, and the malicious container mirror image is efficiently identified.

The invention relates to a high-orbit Beidou signal capturing method and device, and the method comprises the steps: converting a Beidou satellite signal into a digital intermediate frequency signal, and determining the number of sampling points of a 1-millisecond signal; fourier transform compensation data and inverse Fourier transform compensation data are determined; mixing the 1 millisecond digital intermediate frequency signal with a local carrier to strip the carrier; fourier transform compensation is carried out on the carrier stripping signal, and then Fourier transform is carried out; fourier transform compensation is carried out on the 1-millisecond local ranging code sequence, and then Fourier transform is carried out; carrying out conjugate multiplication on the two Fourier transform results; inverse Fourier transform is carried out on a conjugate multiplication result, and then inverse Fourier transform compensation is carried out; delaying an inverse Fourier transform compensation result by a code phase and then performing differential coherent operation; and performing peak value judgment by using the accumulated sum of the differential coherence results, and determining that the signal is successfully captured when the peak value is greater than or equal to a threshold value. According to the method, storage resources and computing resources are saved, the influence of noise is small, and the signal capturing sensitivity is high.

The invention discloses an imaging display method and system of a slit-lamp microscope, a medium and a product, and relates to the field of ophthalmology detection, and the method comprises the steps: obtaining a first eye video of a target object through employing a first resolution after an acquisition starting instruction of a user is received; determining an eye movement track of the target object according to the first eye video; obtaining a second eye video by using a second resolution after determining that the eyes of the target object meet the collection condition according to the eye movement track; the second resolution is higher than the first resolution; intercepting a target video frame meeting the detection requirement in the second eye video to obtain a target image; and marking the target image to obtain a detection image, and displaying the detection image. By implementing the method, image capture under the eye movement condition can be optimized, and storage resources are saved.

The invention discloses a data processing method. The method comprises the steps of obtaining a target data type; based on a target data type, determining preparation data corresponding to the target data type; collecting target data based on the change rate of the preparatory data; and compressing the collected data, and sending the compressed data to the cloud. The data acquisition process of the vehicle end is accurately controlled through the cloud end, unnecessary data uploading is reduced, the pressure of network bandwidth is reduced, and meanwhile storage resources of the vehicle end are saved. The sampling frequency is flexibly adjusted according to the actual change condition of the data and the network condition, uploading of a large amount of redundant data is avoided, and the data transmission efficiency is improved. By compressing the collected data, the space and time required for data transmission are reduced, and the pressure of network bandwidth is further relieved.

The invention discloses a cluster type data management system and a node management method, the cluster type data management system manages each data node through a registration center, including filter deployment, capacity expansion and contraction and the like, that is to say, cluster management can be carried out on Bloom filters deployed on the data nodes through the registration center; bloom filters on all data nodes can be added, modified or deleted in a one-stop mode, service requirements can be quickly responded, and mass data can be processed more efficiently compared with a Bloom filter carried by a single machine; according to the node management method, each data node is mapped on a Hash ring by constructing the Hash ring and corresponding Hash calculation, and node management and Bloom filter management are performed on the basis, so that uniform storage of data can be realized, more storage resources are saved, and the problem of data synchronization among the nodes is avoided.

The invention provides a data storage method and device based on a snapshot technology, which can provide data storage and backup based on a directory-level fine-grained snapshot technology. The data storage method based on the snapshot technology comprises the steps that a file system disk layout is divided, and a metadata area and a main area are obtained; wherein the metadata area comprises a version address table, and the main area comprises a storage index node segment area, a data segment area and a version segment area; when a directory snapshot is created in response to the snapshot request instruction, creating a new entry in the version address table, and recording a directory snapshot name and current system time as an index node; storing index nodes based on a chain management structure so as to store directory snapshots of different versions; wherein each index node of the chained management structure comprises necessary information for creating the directory snapshot, a timestamp of the directory snapshot, a pointer pointing to a data block and a pointer of a next directory snapshot address.

The invention provides an image processing method, an image processing device, a computer readable storage medium and electronic equipment, and relates to the technical field of image processing, the method can respond to a shooting instruction, at least one original image frame is acquired, a reference frame is selected from the original image frame, the reference frame is processed through a lightweight algorithm based on a first shooting mode, and the image processing efficiency is improved. According to the method and the device, the preview image matched with the first shooting mode can be obtained, so that the similarity between the obtained preview image and the target image obtained by processing through the weight algorithm is higher, and therefore, the preview image with the image effect better fitting the first shooting mode can be obtained, and the problem of subsequent image jumping can be avoided.

The invention provides a radar data processing method, a program product, electronic equipment and a storage medium, and the method comprises the steps: comparing collected radar data with a base value, and obtaining a difference value; if the difference value is smaller than a threshold; if yes, reporting the radar data according to the first data reporting frequency; if the difference value is not smaller than the threshold value, reporting the radar data according to a second data reporting frequency; updating the base value according to the base value and the threshold value; the second data reporting frequency is higher than the first data reporting frequency. The appropriate reporting frequency is selected based on the comparison result of the difference value and the threshold value, automatic adjustment of the reporting frequency is achieved, unnecessary data transmission can be reduced for non-abnormal conditions, and network bandwidth and storage resources are saved. And for abnormal conditions, the second data reporting frequency with higher frequency is adopted for data reporting, so that the problem of data omission is improved, and the accuracy of reported data is improved. By dynamically adjusting the base value, the real state of the radar data is reflected more accurately, and false alarms caused by a fixed base value are reduced.

The invention discloses a handwritten numeral recognition method based on a quantum neural network, a product, a medium and equipment, and relates to the technical field of quantum computing, and the method comprises the steps: obtaining image data of handwritten numerals; inputting the image data into a quantum neural network, and outputting a handwritten numeral recognition result; the quantum neural network is determined through a quantum optimization algorithm with the purpose of minimizing a cross entropy loss function; the quantum neural network comprises an input layer, a quantum layer, an activation layer and an output layer which are connected in sequence; the input layer is provided with a multi-quantum bit controlled Ry gate; the input layer is used for converting image data into a quantum image to obtain an image information quantum bit sequence. According to the method, the quantum superposition characteristic and the parallel computing characteristic of the quantum neural network can be fully utilized, so that the efficiency and the accuracy of handwritten numeral recognition are effectively improved.

The invention relates to an intelligent integrated circuit and an intelligent chip in an artificial intelligence hardware platform. The invention relates to the field of deep neural networks in an artificial intelligence general technology, in particular to a data deployment system, a training method, an inference method and a chip of a deep neural network. The deep neural network data deployment system comprises a storage module; the matrix decomposition module is used for decomposing the original matrix into the sum of N sub-matrixes, and N is greater than or equal to 2; wherein one of the sub-matrices is further decomposed into a product of two or more low-rank matrices; the matrix expression processing module is used for expressing the sub-matrixes which are not decomposed at first precision and then storing the sub-matrixes; expressing the two low-rank matrixes with second precision and then storing the two low-rank matrixes; wherein the original matrix is a weight matrix and / or an activation value matrix, and the first precision is lower than the second precision. According to the method, on the premise that the performance of the model is basically not lost, the storage space required in the training and reasoning process is effectively reduced, and the calculation efficiency is improved.

The invention relates to a long text processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a current key feature, a current value feature and a current query feature corresponding to a current lexical element in a target long text, and a first global state feature corresponding to a previous lexical element; the current key feature, the current value feature and the first global state feature are input into an encoder, so that the encoder outputs a second global state feature, and the second global state feature comprises the current lexical element and high-level semantic information of all lexical elements before the current lexical element; and inputting the second global state feature and the current query feature into a decoder, so that the decoder outputs a lexical element representation corresponding to the current lexical element. According to the embodiment of the invention, storage and computing resources can be saved, high-level semantic information can be effectively analyzed, long-distance context information can be effectively fused, and the understanding ability of the model to long texts can be improved.

The invention discloses a full-process visual monitoring and intelligent management method for a glass bracket production line, and relates to the technical field of industrial quality control, and the method comprises the steps: carrying out the continuous image collection of all stations of the glass bracket production line through an image collection unit, and constructing a full-process image data sequence; detecting the size of the glass bracket by using the qualified glass bracket size image database, and judging whether the size is abnormal or not; further performing defect detection on the glass bracket with the normal size, and determining whether an abnormal defect exists or not through pixel value difference analysis; and finally, summarizing the glass brackets with abnormal sizes or defects and related information thereof, and generating a visual quality report, so as to quickly position problems and optimize the production process. The comprehensive monitoring and intelligent management of the glass bracket production process are realized, and the production efficiency and the product quality are improved.

This invention discloses a method and system for managing chat logs based on a storage network, relating to the field of log management technology. The method includes the following steps: S1, constructing an interaction matrix; S2, constructing an association matrix; S3, calculating participation; S4, outputting summary text; and S5, assessing risk coefficients. This invention effectively divides different chat logs by constructing an interaction matrix and marks chat logs within the same conversation segment. After the initial construction of the interaction matrix, to further conserve storage resources, the position values ​​in the matrix are optimized: if the logical correlation between two chat logs is weak, the value at the corresponding matrix position is reset to zero, thus avoiding redundant storage; while for strongly correlated log pairs, their position value is retained as 1. This design quantifies the connection strength between chat logs, thereby reflecting the closeness of the relationship between users.

The embodiment of the present application discloses an information suppression method, device, computer equipment and readable storage medium. In the embodiment of the present application, fault information is obtained; a logical judgment is performed on the fault information to obtain a first initial false alarm discrimination result of the fault information, and an algorithm judgment is performed on the fault information to obtain a second initial false alarm discrimination result of the fault information; a first target weight of a first parameter corresponding to the logical judgment is obtained, and a second target weight of a second parameter corresponding to the algorithm judgment is obtained; a target false alarm discrimination result of the fault information is determined based on the first initial false alarm discrimination result, the second initial false alarm discrimination result, the first target weight and the second target weight; if the target false alarm discrimination result is that the fault information is a false alarm, the fault information is suppressed. The embodiment of the present application can save storage resources and reduce the manpower cost and time cost of aircraft maintenance.

The invention relates to the technical field of computers, and discloses a data processing method and device, computer equipment, a storage medium and a program product.The data processing method comprises the steps that when a service processor detects error information currently, target equipment reporting the error information is determined, and the equipment type corresponding to the target equipment is determined, the error information is used for indicating error information causing interruption of the operating system; acquiring a preset threshold value corresponding to the equipment type; and after the number of the reported error messages of the target equipment exceeds a preset threshold value, shielding the error messages reported by the target equipment through an error suppressor. According to the method and the device, the shielded granularity can be refined to each target device generating the error information, so that the error information reported by the target device is shielded after the number of the error information reported by the target device exceeds the preset threshold value, an operating system terminal is prevented from being triggered, and the smoothness of server operation and the overall calculation performance are improved.

The invention discloses a seismic data acquisition method and system. The method comprises the following steps: a seismograph and excitation equipment acquire satellite time service time, the seismograph synchronizes the time of the seismograph with the satellite time service time, and the excitation equipment synchronizes the time of the excitation equipment with the satellite time service time; the excitation equipment generates an excitation request and sends the excitation request to the seismograph; the seismograph receives the excitation request and processes the excitation request to obtain excitation information and acquisition information; the seismograph sends excitation information to the excitation equipment; when the excitation equipment detects that the satellite time service time is the same as the excitation time in the excitation information, the excitation equipment controls the seismic source to generate seismic waves; and when the seismograph detects that the satellite time service time is the same as the data acquisition time in the data acquisition information, starting to synchronously acquire seismic waves based on the data acquisition time to obtain seismic data. According to the method, the time synchronism between the excitation equipment and the seismograph and the accuracy of seismic data are improved.

The present application discloses an image repository and a compression method and device thereof. The method comprises: obtaining files contained in an image data layer in an image repository; re-aggregating the files contained in the obtained image data layer to form at least two file clusters, wherein there are no identical files between the at least two file clusters; generating a new image data layer based on the at least two file clusters; and updating the image meta-information layer of the image repository according to the new image data layer. The present invention can effectively compress the size of an image repository, save storage resources, and improve the deployment and upgrade efficiency of cloud services.

The invention discloses an industrial data analysis method and system based on a dynamic form, and relates to the technical field of data analysis, when a plurality of systems share data, the systems calculate the similarity Xsd of data items through a repeatability analysis module, and screen out repeated data sets based on the similarity, so that the systems can effectively identify and eliminate redundant data, and the data processing efficiency is improved. And unnecessary repeated acquisition and storage are avoided, so that data storage is optimized, storage resources are saved, and the burden of redundant data is reduced. Through a data usage analysis module, the system can identify features of each data item in different contexts within a duplicated data set. Through data context vectorization and analysis of the use difference degree Cyd in different contexts, the system can further judge which data items have different meanings in different systems or service scenes, so that non-redundant data which should not be regarded as redundancy is screened out, and the analysis ensures that the system performs judgment not only based on the data similarity.

A low-complexity 1-bit signal decoder and a design method thereof, the decoder includes a counter module, a fixed subtraction module, M decoder submodules and an output control signal generating module; the counter module inputs a reset signal and a clock signal, the M decoder submodules form a parallel operation processing unit, M-1 fixed subtraction modules are arranged one-to-one between the counter module and the decoder submodule, and the address values ​​of adjacent decoder submodules differ by L; the data inputs of the M decoder submodules are all 1-bit digital signal streams, the enable ends are all connected to the output control signal generating module, and the outputs are all N-bit digital signal streams. The present invention also provides a design method for a low-complexity 1-bit signal decoder. The present invention has extremely low complexity and power consumption, is suitable for high-speed data processing, can be implemented in the form of an integrated circuit, and is suitable for high-bandwidth signal processing.

The invention relates to a method and a system for improving Java application program deployment efficiency based on a Docker technology. The method is suitable for software operation. According to the technical scheme, the method comprises the steps that a Docker mirror image capable of running a Java program is obtained; packaging the incremental code after code modification on the basis of the Docker mirror image, and uploading the incremental code to a server; the incremental code in the server is shared or copied to a container; compiling the incremental code shared or copied into the container and updating the incremental code into the Jar; and restarting the updated container. According to the method, code modification is carried out on the Docker mirror image capable of running the Java program, the modified incremental code is packaged and uploaded to the server, the incremental code file shared or copied into the container is compiled and updated, the updated container is restarted to realize system updating, packaging, mirror image manufacturing and pulling of the full amount of codes are not needed, and the system updating efficiency is improved. And the rapid deployment of the program can be realized only by uploading the updated incremental code to a specified path of the server.

The present invention proposes a method for calculating high-resolution SAR imaging parameters. The method takes parameters such as imaging scene position, imaging synthetic aperture duration, sliding factor, minimum repetition rate, maximum repetition rate and the like as input conditions, and respectively calculates the zero Doppler center moment of the imaging scene and the imaging start and end times through a satellite-ground geometric model, and selects and outputs a repetition rate that meets SAR imaging performance indicators within an imaging arc segment with a fixed time step, thereby reducing the number of calculation overheads and avoiding a return iterative search process, saving storage resources, being suitable for implementation in a satellite-borne environment under resource-constrained conditions, and being convenient for deployment and implementation of satellite-borne hardware. The present invention can realize sliding beam imaging modes with different imaging resolutions and imaging widths by modifying parameters such as imaging synthetic aperture duration, sliding factor, minimum repetition rate, maximum repetition rate and the like, and integrates performance indicator calculation, having the characteristics of integrated wave position design.