308results about How to "Reduce data volume" patented technology

The invention relates to a quantum key management method and system for satellite internet biological characteristics, and the method comprises the following steps: carrying out the registration of biological characteristics and the initialization of communication protocol parameters for a user terminal which is accessed for the first time; for the registered user terminal, before initiating communication each time, binding the real-time biological characteristics with the quantum key, and carrying out encrypted transmission of the session key by using the bound quantum key, so as to carry out encrypted transmission of satellite internet transmission data by using the session key; and in the encryption transmission process of the satellite internet transmission data, according to a preset period, performing satellite link security level adjustment and quantum key dynamic updating. According to the invention, identity authentication and terminal authentication in a high-delay and narrow-bandwidth application scene can be realized, the security problems of identity counterfeiting, key leakage and the like are solved, and the method can be applied to satellite internet scenes such as emergency communication, field operation and the like, and has the advantages of strong compatibility, low deployment cost and the like.

The invention discloses a bow net offline electromagnetic interference multichannel data acquisition and analysis method and device, and belongs to the technical field of electromagnetic interference test and analysis. A transient electromagnetic signal of pantograph-catenary discharge is acquired through cooperation of multiple antennas, multiple probes and multiple channels, and strict alignment of multi-source data under the same discharge event is realized through unified triggering and time base line unification; in the off-line stage, denoising, feature extraction and multi-event statistical modeling are carried out on data generated by triggering, so that multi-path and multi-mode electromagnetic characteristics of pantograph-catenary discharge and statistical laws of the multi-path and multi-mode electromagnetic characteristics of pantograph-catenary discharge are obtained; the device comprises a data acquisition unit, a synchronous trigger unit, an analysis processing unit and an interactive display unit, and can improve data processing efficiency and analysis depth while ensuring high sampling rate and broadband coverage; the device solves the problems of insufficient space coverage, poor synchronism and limited analysis capability in the existing pantograph-catenary discharge test, and is suitable for pantograph-catenary discharge mechanism research, electromagnetic interference evaluation and related engineering application.

The invention relates to image processing and video monitoring, in particular to a real-time target tracking method and system based on double-camera linkage, and the method comprises the steps: initializing the system and defining a coordinate system; when the target enters the high-definition picture of the high-definition zoom camera, judging whether the target enters the field of view of the wide-angle fixed-focus camera or not in real time; if the target enters the view field of the wide-angle fixed-focus camera, guiding the high-definition zoom camera to turn to the target by using the large view field advantage of the wide angle, and carrying out picture fusion and asymmetric weight ROI video coding; if the target does not enter the field of view of the wide-angle fixed-focus camera, starting an independent closed-loop PID tracking mode for the high-definition zoom camera, and gradually switching the high-definition zoom camera from the wide-angle end to the long-focus end to realize stable locking of the target in a full-focus range; according to the technical scheme provided by the invention, the defect that the moving target is difficult to accurately track in the prior art can be effectively overcome.

The invention provides a marine target detection method based on an unmanned aerial vehicle, and the method comprises the following steps: 1, carrying out the time-space synchronization of point cloud original data collected by a plurality of sensors on the unmanned aerial vehicle, and obtaining the point cloud original data after the time-space synchronization; step 2, preprocessing the point cloud original data after time-space synchronization acquired by each sensor, and obtaining preprocessed single-sensor point cloud data through voxel filtering and statistical filtering; step 3, based on a K-dimensional tree and a DBSCAN clustering method, performing clustering segmentation on the point cloud data of the single sensor to obtain a single sensor target detection result; and 4, performing comprehensive analysis on all single-sensor target detection results by adopting a multi-source point cloud information decision level information fusion method to obtain a final target detection result.

The invention provides a building model remodeling method and device and a building model rendering method and device, and relates to the technical field of map data processing. Gridding the initial building model to obtain a plurality of mesh surfaces, each mesh surface being formed by connecting at least three spatial vertexes; determining an external mesh surface located on the surface of the initial building model from the plurality of mesh surfaces; and remodeling the target building model corresponding to the initial building model on the basis of the space vertexes corresponding to the external grid surface, so that the surface with the exposed structure edge is kept by removing the internal redundant interpenetrating structures in the initial building model, the interference of internal redundant data is effectively avoided, and the construction efficiency is improved. And unnecessary data processing is reduced in the rendering process, so that the rendering rate of the model can be improved.

The present application relates to the technical field of robot control, in particular to a robot remote control method based on flexible manufacturing direct force feedback, comprising: collecting force feedback signals of a robot end and network transmission parameters; determining an initial compression ratio according to the network transmission parameters, and combining time domain variation characteristics of the force feedback signals, compressing the force feedback signals based on the initial compression ratio to obtain compressed force signals; updating the initial compression ratio to obtain a target compression ratio based on signal errors and correlations of restored force signals obtained by restoring the compressed force signals relative to the force feedback signals, and compressing the force feedback signals based on the target compression ratio to obtain target compressed force signals; transmitting the target compressed force signals to a remote operation end, and sending control instructions generated by the remote operation end according to the target compressed force signals to a robot controller to drive an actuator of the robot end to perform work. The present application realizes improved transmission efficiency while ensuring remote control accuracy.

The present application belongs to the technical field of data analysis, and particularly relates to a high-throughput biosensing system for early warning of algal blooms and pathogens, which comprises multiple sampling units, a microfluidic chip with a multi-channel structure, and a high-throughput surface-enhanced Raman detection unit with an integrated metal nanostructure surface, and obtains the original surface-enhanced Raman spectrum of the water sample through a Raman spectrum acquisition mechanism. The system uses compressed spectrum sampling and sparse reconstruction methods to reduce the data volume and maintain the integrity of the spectrum information, constructs a pathogen Raman fingerprint dictionary through a dictionary learning method, and realizes the identification of different algal metabolites, algal toxins and pathogen-related molecular components and the concentration interval judgment thereof in combination with a sparse representation classification mechanism. Based on the type and concentration interval of the pathogens, the system further generates algal bloom risk warning and pathogen risk warning, and realizes early discovery of abnormal changes in the water body. The present application has significant advantages in stability, sensitivity, throughput and real-time performance.

Embodiments of the present application disclose a task execution method and device of a heterogeneous system, computer equipment and a storage medium, and relate to the technical field of computers. The method is used in an edge node in a heterogeneous system, the heterogeneous system is composed of a center node and edge nodes, and each edge node is used to implement the same function. The method comprises: receiving a target task issued by the center node, the target task being used to instruct the edge node to implement a process of a target function, and different edge nodes corresponding to the same target task; converting the target task into a target executable file according to a self-architecture system, the target executable file being composed of executable instructions, and different architecture systems corresponding to different executable files; and running the target executable file to implement the target function. The step of converting the target task into the target executable file is allocated to the edge node, which reduces the amount of data processed by the center node, reduces the occupation of network bandwidth, and improves the real-time performance of issuing the target task.

The present application relates to the field of digital image processing and information security, and discloses a document tampering detection method and system based on image data processing, comprising the following steps: first, extracting the noise residual and microscopic penetration characteristics of the document image, and constructing a physical potential energy field and a virtual viscous resistance field; then, using a Darcy law variant model for dynamic evolution, generating a virtual flow velocity vector field to simulate the sliding behavior of fluid in heterogeneous media; subsequently, constructing a heterogeneous graph based on the flow field divergence singular point and streamline trajectory, using a graph neural network to aggregate the node dynamics characteristics for deep reasoning, and finally generating a tampering positioning mask. The present application innovatively introduces fluid mechanics field theory, converts hidden static texture differences into significant dynamic flow field anomalies, solves the problem that the prior art is difficult to capture microscopic tampering traces, and significantly improves the detection accuracy and generalization ability in complex document scenarios.

The application discloses a kind of action primitive-based anthropomorphic motion planning method, device and medium, comprising: the task to be executed is divided into subtask, and the execution order of the subtask is planned according to task demand;Capture the motion data of human arm when each subtask is executed, and the action primitive under each task is extracted and fitted quantization, to construct the action primitive library of each subtask;The action primitive library of each subtask is used as carrier to transfer the motion skill of human arm to anthropomorphic arm, to realize the anthropomorphic motion planning of redundant mechanical arm.The application can greatly reduce the data volume while improving the adaptability of robot to task.

This invention provides a redundant array management method and system based on ZNS solid-state drives, comprising: for each stripe, upon receiving a write request, sequentially writing the data to be written into the corresponding data blocks, and overwriting and updating the check data of the check block; positioning the logical actual write pointer to the tail position of the consecutively successfully written data blocks, generating metadata corresponding to each data block, and writing the metadata into a spare area; the logical actual write pointer is used to point to the next writable position within the logical area; in the event of a failure, repositioning the logical actual write pointer based on the metadata in the spare area; based on the repositioning of the logical actual write pointer after the failure, discarding the data blocks outside the logical actual write pointer, restoring the data blocks within the logical actual write pointer, and recalculating and generating check data to complete the redundant array management of the ZNS solid-state drive.

The invention relates to a circuit board defect detection method, device and equipment based on multiple sub-models and a storage medium, and is applied to the field of defect detection, and the method comprises the steps: obtaining an original image of a to-be-detected circuit board, aligning the original image according to a preset mother layout, and setting the aligned original image as a to-be-detected panoramic image; segmenting the panoramic image to be detected into a plurality of unit detection images according to a preset segmentation standard; matching a special sub-model from a preset detection model library according to the unit detection image, and performing defect detection on the unit detection image by adopting the special sub-model; and integrating the defect detection results of the unit detection images, and outputting the defect detection result of the circuit board to be detected. The circuit board defect detection method has the technical effect of improving the efficiency and accuracy of circuit board defect detection.

This application relates to a report generation method, apparatus, computer equipment, storage medium, and computer program product. The method includes: obtaining a report configuration corresponding to an initial report; the report configuration includes a data source identifier, a first operator sequence, and a second operator sequence; obtaining a query field; obtaining initial data from the data source corresponding to the data source identifier based on the query field; performing calculations on the initial data based on the first operator sequence to obtain intermediate data; aggregating the intermediate data to obtain an intermediate table; and performing calculations on the intermediate table based on the second operator sequence to obtain a target report containing the query field. This method improves the flexibility of reports. This invention can be applied to various systems involving reports, such as enterprise management systems and Enterprise Resource Planning (ERP) systems.

This application discloses a multi-source fusion log compression method and apparatus for anomaly detection, belonging to the field of anomaly detection technology. The multi-source fusion log compression method for anomaly detection includes: generating an audit origination graph corresponding to the system audit log, an application origination graph corresponding to the application log, and a domain name origination graph corresponding to the domain name system log based on the system audit log corresponding to the electronic device, the application log corresponding to the target application in the electronic device, and the domain name system log corresponding to the electronic device; fusing the domain name origination graph into the application origination graph based on the domain name nodes in the application origination graph to obtain a sub-fused origination graph; fusing the audit origination graph into the sub-fused origination graph based on the event nodes in the audit origination graph to obtain a fused origination graph; and performing anomaly detection based on the fused origination graph. The multi-source fusion log compression method for anomaly detection in this application can alleviate the problems of semantic gap and dependency explosion.

The application relates to a user service method and device based on a control plane, a computer device and a storage medium, and relates to the technical field of networks. The method is executed by a backup control plane and comprises the following steps: receiving a digest table sent by a master control plane; the digest table contains user digest information of a target user; the target user is a user accessing the master control plane; performing pre-occupation processing based on the digest table to determine pre-occupation resources of the target user; and in the case of an exception of the master control plane, switching the target user to the backup control plane to provide services for the target user based on the pre-occupation resources. Through the above method, in the control plane switching process, since pre-occupation has been performed on the backup control plane side, address conflicts do not occur, and since the information amount of the digest table is relatively small, black barrier periods are not prone to occur, so that the user side is not aware of the control plane switching, normal business is ensured, and service effect is improved.

The application discloses a real-time leakage positioning monitoring system and method based on electrical resistance tomography, relates to the technical field of process tomography and industrial safety monitoring, and solves the technical problem that it is difficult to intelligently identify, three-dimensionally position and quantitatively evaluate leakage events; the system comprises a sensor array, a multi-channel data acquisition and excitation module, a real-time data processing and image reconstruction module, a leakage intelligent identification and positioning module, a man-machine interaction and data management module; the core lies in that a multi-layer nested annular array and a sparse measurement strategy are adopted to improve data acquisition efficiency, a physical information neural network is introduced to reconstruct an image, a measurement topological coding matrix and a physical residual correction module are used to reconstruct the image, and finally, a time-space dual-domain leakage probability field model is constructed, a virtual sensor network and an improved D-S evidence reasoning framework are combined to intelligently identify and position a leakage diffusion mode.

The present application relates to a kind of ground airglow gravity wave image fast determination method and system, method includes: collecting real-time ground airglow image;After the real-time ground airglow image is preprocessed, input layered transfer learning model, output gravity wave existence probability, and save wave image, wherein, the layered transfer learning model is obtained by segment training to ground airglow image dataset, the layered transfer learning model includes pre-training EfficientNetB3 model, deformable convolution layer and classification head.The present application solves the problem that ground airglow imager is difficult to automatically distinguish gravity wave in short-term deployment in real time, reduces artificial expert discrimination workload, while avoiding the problem of overfitting low accuracy of traditional machine learning method in short time small amount of data training.Reach the purpose of rapid deployment, efficient identification.

The application provides a data classification method based on a self-attention mechanism in an ISCC system, belongs to the field of perception communication and computing integration, and comprises the following steps: introducing attention weights by using the self-attention mechanism to measure the information amount of each ISAC device, fusing the local features of each ISAC device into global queries, taking the local features of each ISAC device as a key function and a value function, and using dot product to calculate the similarity to obtain the attention weights of the ISAC device; and determining whether the data of the device is transmitted to an edge server to participate in training of a classification model by judging whether the attention weight value reaches a set threshold value or not; the method improves the subsequent classification accuracy, reduces the calculation amount, avoids unnecessary waste of communication resources caused by transmission of redundant features, and balances the contradiction between the subsequent classifier and the number of feature selection. The method not only reduces the communication and calculation resource consumption but also improves the accuracy of the classification reasoning model.

The application provides a zero-shot song conversion method and device, equipment and storage medium, relates to the technical field of audio processing, and includes the following steps: obtaining a source song waveform and a reference song waveform; performing source condition extraction on the source song waveform to obtain a source song condition sequence; performing timbre coding on the reference song waveform to obtain a target timbre sequence; performing flow matching sampling on the source song condition sequence and the target timbre sequence by using a preset diffusion transformer to obtain a target continuous latent sequence; and decoding the target continuous latent sequence to obtain a target song waveform. The application can improve the similarity of song conversion in a zero-shot scenario.

The invention provides a battery power consumption lightweight analysis device, a lightweight log generation device, a battery power consumption lightweight analysis method, a lightweight log generation method, electronic equipment and a computer program product. The battery power consumption lightweight analysis device comprises: a system configuration analysis module for analyzing a system configuration file of a target electronic device to obtain system attribute feature data; the battery statistical data acquisition and analysis module acquires a battery statistical data packet and analyzes the battery statistical data packet to determine battery characteristic data; the lightweight log generation module carries out packaging processing on the system attribute characteristic data and the battery characteristic data to generate a lightweight log file; the log data reading and analyzing module reads the lightweight log file and analyzes the lightweight log file to extract attribute feature data and battery feature data; and the battery power consumption analysis module is used for analyzing the battery power consumption of the target electronic equipment according to the attribute characteristic data and the battery characteristic data to generate a power consumption analysis result.

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 application relates to a CAD drawing sharing and discussing system, which comprises a first terminal, one or more second terminals, a first CAD drawing sharing module and a first instant messaging module in the first terminal, a second CAD drawing sharing module and a second instant messaging module in each of the one or more second terminals, the first CAD drawing sharing module and the second CAD drawing sharing module transmitting and sharing CAD drawings with each other, and the first instant messaging module and the second instant messaging module transmitting instant messaging information with each other. In the application, each terminal can look at the CAD drawing while instant messaging, so that each party of CAD cooperation can view the CAD drawing at any time during the communication and discussion, which is convenient and fast.

The invention provides a communication method and device, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the steps that to-be-processed data are distributed to a plurality of target computing cards, each target computing card comprises a plurality of computing core particles and at least one communication core particle, and each computing core particle is distributed with one data fragment in the to-be-processed data; for each target computing card, determining a target core particle corresponding to the target computing card from the at least one communication core particle, and constructing a first communication network based on each computing core particle and the target core particle; controlling each computing core particle to carry out protocol processing on each data fragment through the first communication network to obtain a first processing result of the target computing card; and constructing a second communication network based on each target core particle, and controlling each target core particle to perform global protocol processing on the first processing result of each target computing card through the second communication network to obtain a second processing result. According to the invention, the set communication efficiency between the computing cards can be improved.

The invention relates to the technical field of information, in particular to an artificial intelligence decision support method and system for high-frequency transactions. The method comprises the steps of collecting order book data, and obtaining a fluctuation rate and a trading price difference based on the order book data; the window at the current moment is adjusted based on the volatility to obtain a window at the next moment, and window detection is completed through the hash value; counting the order quantity difference of the key prices at the current moment and the adjacent moment and the difference between the buying and selling price difference at the current moment and the maximum buying and selling price difference for the window with the data change, and obtaining a dynamic compression ratio based on the two differences; the DPCM algorithm and the dictionary compression algorithm are adjusted based on the dynamic compression rate, and then compression is carried out; and generating a decision signal based on the compressed data to complete decision support. The compression speed is increased, and the accuracy and integrity of the data are improved.

The application relates to the technical field of PCIe devices, and discloses a parameter configuration method and device, a computer device and a storage medium, the method comprising the following steps: setting a plurality of first preset value combinations; configuring preset values of a plurality of PCIe devices according to the first preset value combinations, and performing first testing on the plurality of PCIe devices to obtain first testing results; determining an effective preset value range that can be configured by each PCIe device according to the first testing results; selecting an effective preset value from the effective preset value range corresponding to each PCIe device to form a second preset value combination; configuring preset values of the plurality of PCIe devices according to the second preset value combination, and performing second testing on the plurality of PCIe devices to obtain second testing results; and determining an optimal second preset value combination according to the second testing results corresponding to the plurality of second preset value combinations. The application can determine optimal preset values corresponding to each PCIe device respectively, and can simultaneously ensure the stability of PCIe links of each PCIe device.

The invention discloses a method for obtaining the thickness and refractive index of a film, a test system, a storage medium and application. The method for obtaining the thickness and the refractive index of the thin film comprises the following steps: obtaining an intermediate frequency signal carrying transmission phase information by using two groups of nonlinear transmission line terahertz frequency comb generators and a broadband mixer, and obtaining an actually measured phase curve based on the intermediate frequency signal; constructing an equivalent multi-optical-path interference model of the thin film, performing coherent superposition on multiple reflection components of a measured wave signal in the thin film in a complex field to obtain a complex phase of a total transmission field, and obtaining a phase-frequency change spectrum based on the complex phase as a model phase curve; and an error function of the model phase curve and the actually measured phase curve is constructed, and a parameter combination enabling the error function to take the minimum value is solved by scanning the parameter combination of the refractive index n and the thickness d of the thin film. According to the method, thermal drift or time drift of the phase is avoided, and then calculation errors caused by phase jump are avoided.

The invention discloses a cache management method and device, equipment, a storage medium and a product, and the method comprises the steps: responding to a cache access, and obtaining a hit condition of the cache access; adjusting global leapfrogging parameters according to the hit condition; and according to the hit condition and the global leapfrogging parameter, adjusting the item level of the data item. According to the embodiment of the invention, the adjustment step length of the item level of the data item is reduced during hit, it is ensured that the hot data partition stores the high-frequency accessed data item, the occasionally accessed data item is prevented from mistakenly entering the hot area, the hot data partition entering speed of the sudden hot data item can be reduced, and the hot data partition entering efficiency is improved. The concerned data items are prevented from being quickly deleted; when the new inserted data is not hit, a large entry level is configured for the new inserted data, the new inserted data is placed in a cold data area, storage of high-frequency access data is prevented from being affected, negative feedback closed-loop control over a cache area is achieved, cold and hot data are effectively distinguished, the problem of access delay caused by the fact that the cold and hot data are difficult to distinguish is solved, and the access efficiency is improved. And the response speed and the cache stability are dynamically balanced.

The invention relates to a multi-agent collaborative sensing method based on spatio-temporal joint selection. The method comprises the following steps: acquiring original sensing data of a plurality of agents; constructing a spatial sparse region selection mask; generating a joint sparse feature map; sparse features of the intelligent agent are obtained; obtaining a fused feature map; and carrying out intermediate-stage three-dimensional target detection, and carrying out later-stage fusion on the intermediate-stage three-dimensional target detection and an independent detection result of the collaborative agent to obtain a final collaborative perception detection result. According to the method, the space sparse region is constructed to select the mask, so that the relatively high sensing performance can still be kept in a scene with extremely limited bandwidth; the communication burden is reduced, the transmission content is more focused on a dynamic target which really contributes to collaborative perception, and the information utilization rate is improved; the detection precision is improved by using multi-view complementary information, the missed detection and false detection risks caused by time delay or shielding in intermediate fusion are reduced through a later compensation mechanism, and finally a more accurate and more complete 3D target detection result is obtained.

This invention discloses a multi-dimensional segmentation method for autonomous driving data collection, comprising the following steps: obtaining a segmentation configuration, including a start maximum time, an end maximum time, a start effective distance, an end effective distance, and a segment time interval; reading the data collection packet and extracting multi-sensor data and vehicle speed information; calculating the cumulative driving distance using timestamps and vehicle speed information; performing a first validity check on the starting segment of the data collection packet using the start maximum time and the start effective distance, and performing a second validity check on the ending segment of the data collection packet using the end maximum time and the end effective distance; if either check fails, the segmentation is abandoned; if both checks pass, a first and a second valid time point are determined, and the interval between the two is taken as the valid time interval; within this interval, the multi-sensor data is segmented according to the segment time interval to obtain one or more data segments.