92results about How to "Save storage resources" patented technology

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 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 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 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 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 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 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.

The present specification provides a method and network device for configuring ACL rules and matching messages, the method comprising: obtaining a target ACL rule to be issued, and obtaining the value of a target port number corresponding to the target ACL rule, determining whether the value of the target port number is an exact value or a range value, and if it is a range value, obtaining the corresponding range code through a range database and constructing a TCAM table entry, or, if it is an exact value, constructing a TCAM table entry according to the exact value. Through this method, ACL rules for one or more port ranges can be implemented, occupying only one TCAM table entry space, greatly saving TCAM storage resources.

Example embodiments of the present disclosure provide a mask plate processing method, an electronic device and a storage medium. The method comprises: obtaining a plurality of layout entities of a circuit layout on a plurality of mask plates, wherein each layout entity has a corresponding pattern shape; dividing the plurality of layout entities into a plurality of categories based on the pattern shape of the layout entity, so that the layout entities belonging to the same category have the same pattern shape; and storing the layout entities belonging to the same category in the same storage area in the memory based on the classification result. The processing method of the circuit layout on the mask plate according to the present disclosure can save storage resources and improve data retrieval speed.

The invention relates to the technical field of computers, and provides an audio recognition method, an audio recognition device, a medium, a product and electronic equipment. The audio recognition method comprises the following steps: determining candidate audios from existing audios according to the similarity between a first audio feature vector of an audio to be recognized and a second audio feature vector of the existing audios in an audio library; for each candidate audio, according to the first fingerprint information of the to-be-identified audio and the second fingerprint information of the candidate audio, performing audio feature alignment on the to-be-identified audio and the candidate audio; and based on an audio feature alignment result, determining an identity identification result of the to-be-identified audio and the candidate audio. According to the scheme, the identification accuracy of the same audio can be improved.

The invention discloses an online simplified migration method of a Ceph RBD type volume based on OpenStack, and relates to the technical field of OpenStack cloud computing, and the method comprises the following steps: a user requests to modify the type of an in-use volume on a virtual machine through a Cinder API, and provides a UUID, a new type and a migration strategy; the cinder volume service judges whether a new volume needs to be created or not and notifies the nova-api to carry out copy switching; the nova-api verifies the UUID and queries the computing node, and the new volume information is sent to the nova-component service; the nova-complex service configures a deject-zeros option according to the drive list, and the configuration is modified to be off after volume migration is completed; and finally, calling the Cinder API to mount the new volume and unload the old volume. According to the invention, after the volume type switching is completed, the storage space actually occupied by the virtual block device is not obviously increased, and the purpose of saving space is achieved.

This application relates to the field of printed image color management technology, and in particular to a method, apparatus, computer device, and medium for generating a print preview image. The method includes: obtaining a gamut factor, a white balance factor, a hue response function, and a saturation function based on the printing scheme of the image to be printed and the default printing scheme corresponding to a mapping table; obtaining a first color value for each node based on the PreviewRGB value corresponding to each node in the mapping table; determining a second color value for the node based on the product of the gamut factor and the first color value of the node; obtaining a temporary RGB value for the node based on the product of the white balance factor, the hue response function, and the PreviewRGB value; obtaining a third color value for the node based on the temporary RGB value; obtaining a fourth color value based on the saturation function and the third color value of the node; converting the fourth color value into a target PreviewRGB value to obtain an updated mapping table; and generating a print preview image based on the updated mapping table. This method can save memory.

The invention relates to the technical field of image processing, in particular to a monitoring image storage method and system, and the method comprises the steps: obtaining a plurality of monitoring images of a moving target according to a target tracking algorithm in response to the monitored moving target; dividing the moving target into a plurality of moving image blocks; for any moving image block, calculating the relative optical flow direction of the moving image block in each monitoring image relative to the initial monitoring image, and clustering the moving image block according to the relative optical flow direction to obtain a plurality of clusters; obtaining a moving image block distribution diagram of each monitoring image; and storing all the clustering centers of each moving image block and the moving image block distribution diagram of each monitoring image to complete storage. According to the technical scheme, the storage space of the monitoring image can be reduced, and storage resources are saved.

The present invention relates to a lossless event compression method based on a discrete event system, including obtaining a minimum recoverable compressed event sequence given a discrete event system and a source event sequence generated by the system; given a first compression protocol: retaining the last k events in the source event sequence; given a second compression protocol: retaining at least one event for any cyclic sub-event sequence, establishing a compression automaton model to represent all possible source event sequences of the given compressed event sequence, detecting whether the given compressed event sequence is 1-order recoverable and whether it satisfies the second compression protocol based on the compression automaton model, and respectively proposing an offline lossless event compression method and an online lossless event compression method. The present invention utilizes the information redundancy generated dynamically by the system as a compression method based on the system, reduces storage resources, and ensures that all actions occurring in the system can be tracked while saving fewer actions.

According to the high-speed non-2-power point FFT device based on the small SPRAM, only the word SPRAM is used as a data buffer area, and consumption of storage resources is low. According to the method, a mapping mode of conflict-free access to the SPRAM is designed, three block mapping modes are given, and the data throughput rate is increased; according to the method, the calculation sequence of butterfly operation of each dimension and each level is optimized, high-order base butterfly operation is adopted, low-order base butterfly operation is processed in parallel, and the calculation time is shortened. The method is compatible with various points, and can be applied to LTE communication and broadcasting systems.

The invention discloses an image processing method and system and a storage medium, and the image processing method applied to a server comprises the steps: carrying out the resolution amplification and compression processing of a to-be-processed image, and obtaining a target compressed image; and issuing the target compressed image to the client, so that the client removes the compression noise of the target compressed image to obtain the target image. According to the method, the computing power resource of the server is utilized to perform super-resolution reconstruction on the to-be-processed image, and meanwhile, the occupied space of the super-resolution image is reduced through compression processing, so that the storage resource of the server is saved; therefore, the client can perform sharpening processing on the to-be-processed image on the premise of not consuming excessive computing power resources, transmission time and transmission resources, the image sharpening efficiency and the image browsing experience of a user are improved, and the method can be widely applied to the technical field of computers.

The application discloses a kind of vehicle remote safety control methods, comprising: S1: generating the private key of each control terminal and the public key corresponding to each private key, the private key of each control terminal is distributed to the corresponding control terminal, and based on the public key corresponding to each private key, generate uniform aggregation public key distribution to electric vehicle end;S2: control terminal generates control instruction for electric vehicle in real time, the hash value of control instruction is encrypted based on own private key, and generate digital signature, wherein, the control instruction contains current time stamp;S3: control terminal sends control instruction and corresponding digital signature to electric vehicle end by wireless communication protocol;S4: electric vehicle end uses uniform aggregation public key to verify the control instruction and corresponding digital signature received, and according to the verification result, executes or rejects the control instruction.The application guarantees the integrity of control instruction, unforgeable and tamper-proof, realizes multiple private key signature, single public key verification.

The invention discloses a frequency offset estimation method and device, a storage medium and a program product, relates to the field of mobile communication, and is used for realizing large-frequency offset blind detection. The method comprises the following steps: acquiring an oversampling frequency domain local synchronization signal and a frequency domain receiving signal; performing frequency offset pre-compensation based on the oversampling frequency domain local synchronization signal or the frequency domain receiving signal; and performing frequency domain correlation detection based on a frequency offset pre-compensation result, thereby realizing frequency offset estimation. According to the invention, high-efficiency and high-precision blind detection of large frequency offset can be realized.

The invention provides a double-peak-value current control strategy of a four-switch Buck-Boost converter, belongs to the technical field of converter control, and solves the problems that an existing control algorithm is relatively large in delay during high-frequency real-time calculation, and the control method still needs to switch algorithms under light-load and heavy-load conditions. Comprising the following steps: dividing a switching period into four stages: an energy storage stage D-A, a direct connection stage A-B, an energy release stage B-C and a clamping stage C-D according to on and off states of a switching tube of the FSBB converter; a voltage regulator is introduced to the point B to output Vc1, so that the point B is related to the point A, and the FSBB is limited to control the degree of freedom; and the specific value information of the input voltage and the output voltage is detected, the inductive current working state of the FSBB in the step-up / step-down state is determined according to the magnitude relation of the input voltage and the output voltage, and a control logic circuit is constructed to complete double-peak current control.