21results about How to "Shorten update time" patented technology

The invention relates to the technical field of intelligent interaction control, and discloses a dynamic loading method and device for an intelligent interaction control unit of a television box. The method comprises the following steps: performing data mining on a user operation log to obtain a function module classification list, a use frequency statistical table and a dependency graph; and performing modular reconstruction on the software system based on the classification list to generate a function module package. And constructing a dynamic priority queue by using the frequency statistical table and the dependency graph. And carrying out predictive module loading in combination with the priority queue and the function module packet to obtain a loaded module list and a resource allocation state. And unloading the intelligent module according to the loading condition, and updating a module list and a resource use state. And executing incremental updating based on the version information in the module packet, updating the functional module packet and reconstructing the dynamic priority queue to obtain a target priority queue. According to the method, the resources can be flexibly allocated according to actual requirements, resource waste caused by static loading is avoided, and the resource utilization efficiency is improved.

The invention provides a dynamically updated byte code security protection method, which comprises the following steps of: loading an agent program when an application program is started, acquiring and caching an instrumentation object, receiving security detection logic and instrumentation configuration information issued by a management end by the agent program through a communication mechanism with the management end, and storing the security detection logic and the instrumentation configuration information in the application program; and the agent program translates the instrumentation logic issued by the management end into byte codes by using the byte code operation library, generates a class file conversion object containing the instrumentation logic, registers the class file conversion object into an instrumentation object, and calls a class re-conversion method of the instrumentation object to perform byte code updating on a target class, thereby realizing dynamic insertion of the instrumentation logic. And the updated byte code takes effect immediately, and security vulnerabilities in the target method are detected and protected in real time. According to the method, the capability of quickly responding to the 0Day vulnerability and blocking the 0Day vulnerability in real time is realized, and the time for updating the protection logic is greatly shortened.

The invention discloses an experimental equipment management system based on LoRaWAN, and aims to solve the problems of resource allocation conflicts, low data transmission efficiency and the like in laboratory equipment management. The system comprises an equipment control unit, a LoRaWAN communication unit, an electric energy monitoring unit, a user interaction display unit, a remote reservation management platform, a gateway and server unit and a firmware management and upgrade unit. A differential packet is generated by using a BSDIFF algorithm, and an LZ77 compression algorithm is combined, so that the transmission data volume of the system is effectively reduced; meanwhile, the gateway dynamically adjusts the size of a data block according to the network quality, and adopts a frame insertion strategy to embed upgrade data in a service data transmission gap; and after the terminal node receives and verifies the differential packet, new firmware is generated to replace old firmware, so that remote efficient updating is realized under the condition of ensuring normal use of equipment. The laboratory equipment management system greatly improves the management efficiency and stability of laboratory equipment, and is suitable for equipment management scenes of various scientific research laboratories.

The invention relates to the technical field of processors, in particular to a firmware updating method and system and electronic device.The firmware updating method comprises the steps that a first control module sends a firmware updating instruction and an updating file comprising firmware to be updated and an acceleration module needing firmware updating to a second control module through a first bus protocol; the second control module obtains an update instruction and an update file, switches the update link of the firmware by sending a selection instruction to the target modules, and transmits the to-be-updated firmware to the corresponding target modules in parallel through the firmware update link by responding to the fact that the number of the target modules is multiple, wherein the transmission rate of the first bus protocol is higher than that of the second bus protocol. According to the method, the technical problems of low firmware updating speed and low efficiency of the processor are solved, and the technical effect of improving the firmware updating speed of the processor is achieved.

The invention discloses a multi-source collaborative dynamic time sequence TCP prediction method and system, a medium and a program product, and the method comprises the steps: collecting multi-source heterogeneous data, including DVH data, CT data, CPP data and longitudinal follow-up data of a plurality of time nodes, of a patient in a whole radiotherapy period; performing hierarchical preprocessing and data format unification on the multi-source heterogeneous data; constructing a dynamic time sequence feature fusion matrix containing a time dependency relationship; constructing a deep learning model integrating a time sequence processing unit and a cross-modal fusion unit, wherein the model supports an incremental learning iteration updating mechanism; using the model to output TCP prediction results of a new patient at different time nodes; and if the new patient is a special case, calling the clinical rule adaptation model, and correcting the TCP prediction result by adopting a mixed correction strategy combining rule matching and doctor experience weight. According to the method, multi-source heterogeneous data can be deeply fused, time dynamic association is captured, modal feature contribution degree is quantified, continuous iterative updating is supported, and individual differences are adapted.

The present disclosure relates to a version information update method, device, terminal and storage medium, and relates to the field of computer technology. The method includes: obtaining file information, the file information is the file information of the code file of the target branch, and the target branch is the branch of the version information to be updated; parsing the target version information and file identification of the code file from the file information; based on the file identification, obtaining the version control file corresponding to the code file from the code warehouse, and the code warehouse is used to store the version control file; based on the target version information, updating the version information in the version control file; the above method realizes the automatic update of the version information before packaging the code file, so that the technician does not need to manually update the version information, thereby saving the update time and improving the efficiency of the version information update.

The invention belongs to the field of power equipment multi-physical field rapid calculation, and discloses a magnetic field rapid analysis and calculation method under a transformer short-circuit fault and a related device. The method comprises the following steps: calculating vector magnetic potentials of a plurality of previous time steps through a full-order calculation model of a transformer short-circuit magnetic field in a high-dimensional space; constructing a snapshot matrix of a solution vector and a snapshot matrix of a nonlinear term; obtaining a group of orthogonal bases based on an intrinsic orthogonal decomposition method and in combination with the snapshot matrix of the solution vector; constructing a reduced-order subspace by using an orthogonal basis; projecting the full-order calculation model of the short-circuit magnetic field of the transformer into the reduced-order subspace; based on a discrete experience interpolation method and in combination with the snapshot matrix of the non-linear term, obtaining an interpolation matrix of the non-linear term; updating a nonlinear term in the transformer short-circuit magnetic field reduced-order calculation model by using the interpolation matrix, and then calculating to obtain a vector magnetic potential in a reduced-order subspace; and reconstructing the vector magnetic potential back to the high-dimensional space, and calculating the magnetic field under the short-circuit fault of the transformer according to the reconstructed vector magnetic potential.

The invention provides a model updating method, a three-dimensional reconstruction method, equipment, a medium and a program product, and relates to the technical field of computers. The model updating method comprises the following steps: constructing a loss function based on a first probability density field, a directed distance and a confidence coefficient corresponding to the directed distance; wherein the first probability density field is generated based on a preset three-dimensional Gaussian model and is used for expressing a probability density field corresponding to a Gaussian primitive of the target scene; the directed distance is a directed distance parameter output by the target model to be updated and from the spatial point to the target scene, and the confidence coefficient is a confidence coefficient parameter output by the target model to be updated for the directed distance; and sending the loss function to the target model, so that the target model is updated based on the loss function. According to the method, the updating precision and updating efficiency of the target model are greatly improved.

The invention belongs to the technical field of communication, and relates to a PCIE (peripheral component interface express)-based FPGA (field programmable gate array) parallel updating method and a PCIE-based FPGA parallel updating system, which are characterized in that ID (identity) information of all FPGAs is acquired through the PCIE, a to-be-updated FGPA is selected according to the ID information, a to-be-updated file is selected, and the to-be-updated file is transmitted to the to-be-updated FPGA frame by frame after the FPGA erases flash sectors one by one to a sector corresponding to the size of the The to-be-updated FPGA solidifies the data in the update file into the flash frame by frame, and the FPGA end program can be updated without redundant equipment, so that the cost is saved, the equipment maintenance is convenient, the parallel update of a plurality of FPGAs is realized, the update time is greatly shortened, and the operation difficulty is reduced.

The application relates to a knowledge base synchronization method, system and computer readable medium for space-based semantic communication, the knowledge base synchronization method comprising: initializing a general semantic knowledge base; in a first communication stage, training the general semantic knowledge base according to a first quantity of communication data to obtain a first semantic knowledge base, and transmitting the first semantic knowledge base to a sending end node and a receiving end node; judging whether the semantic knowledge base of the receiving end node needs to be updated, if the semantic knowledge base of the receiving end node needs to be updated, updating the semantic knowledge base of the receiving end node according to the first data transmitted by the sending end node to obtain a synchronized first communication semantic knowledge base; and the sending end node and the receiving end node communicating according to the synchronized first communication semantic knowledge base. The application can reduce the semantic knowledge base updating frequency of both communication parties in a satellite communication system, and save the time and bandwidth resources required for semantic knowledge base synchronization.

The invention provides a unified framework incremental learning remote sensing scene classification method and system, and belongs to the technical field of image processing. Comprising the steps of unified database construction, unified backbone network, classification header network model construction, unified hyper-parameter construction, linear programming incremental learning supervised training normal form network training, classification prediction result output and unified model verification. According to the method, a unified remote sensing image classification model framework normal form can be constructed, the framework supports embedding of various models, so that the models are accurate, universal and easy to verify, various modal data are supported to serve as model input, and the universality of the framework is remarkably enhanced; and meanwhile, a supervised learning training normal form based on linear programming incremental learning is designed, so that the model can be subjected to continuous fully supervised training on a large-scale heterogeneous data set, and the generalization of the model is enhanced.

The invention relates to a code delivery processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps that in response to an abnormal event triggered in the code delivery processing process, a target delivery link where the abnormal event is triggered and link output information and link input information of the target delivery link are determined, and according to abnormal parameters carried in the link output information, the target delivery link is determined; and determining an abnormal code corresponding to the abnormal parameter from the link input information, processing a target code matched with the abnormal code according to a code processing mode of the target delivery link to obtain code output information of the target code, and performing information replacement on the link output information by using the code output information by adopting the method. And the link output update information is obtained, and the link output update information is used as the link input information of the next link of the target delivery link, so that the total processing time of the processing process is reduced, and the code delivery processing efficiency is improved.

The application provides a multi-dimensional data-based software update intelligent pushing method and system, applied to an electronic device. The method comprises the following steps: receiving a first software update instruction for a target software pushed by a server device, wherein the first software update instruction comprises a first version number and a first update list of the target software; obtaining a current version number of the target software in the electronic device; obtaining user behavior data in a preset time period when the current version number is lower than the first version number, wherein the user behavior data comprises usage records of the user using the target software and usage data of the user using the electronic device; obtaining device data of the electronic device; adjusting the first update list according to the user behavior data and the device data to obtain a second update list; and updating the target software according to the second update list. The embodiments of the application can improve the software update intelligence in the software update process.

The invention relates to the technical field of vehicles, and discloses a vehicle-mounted electronic manual updating method and system and an electronic device.The method comprises the steps that a resource upgrading request sent by a client side is responded, and a target vehicle-mounted electronic manual is determined according to manual information contained in the resource upgrading request; obtaining the latest resource version information of the target vehicle-mounted electronic manual from the cloud, and comparing the latest resource version information with the local resource version information; and updating the target vehicle-mounted electronic manual in different modes based on the comparison result and a predefined upgrading planning scheme. According to the scheme, many problems existing in the flexible self-updating process of the vehicle-mounted electronic manual resources can be solved, user requirements are met, and it is ensured that the updating process of the vehicle-mounted electronic manual is safe and reliable.

The present invention relates to a portable electric tool control program update device and update method, comprising a programmer, a USB interface for connecting a PC end and the programmer, a program output terminal electrically connected to the programmer, a program update control button for sending a burning instruction to the programmer, and a program verification code reading button for sending a verification instruction to the programmer, wherein the program output terminal is used to connect to a battery pack temperature detection terminal in a battery clip of the electric tool. The present invention realizes that the update device updates the program of the electric tool control chip through the battery pack temperature detection terminal by arranging a program output terminal, a program update control button, and a program verification code reading button that are connected to the battery pack temperature detection terminal on the programmer, thereby realizing the update of the electric tool control program without disassembling the electric tool, effectively reducing the difficulty of updating the electric tool program and shortening the update time of the electric tool program.

The invention provides a road information determination method and device. The method comprises the following steps: respectively obtaining a first electronic map and a second electronic map corresponding to a target area; determining a first target road in the target area and a first road level of the first target road based on the first electronic map and a second electronic map, wherein the first electronic map comprises the first target road and the second electronic map does not comprise the first target road; under the condition that the first road grade belongs to a target road grade set, determining a first target road as newly added road information for the second electronic map; and under the condition that the first road grade does not belong to a target road grade set, if a second target road exists in a preset buffer area of the first target road, determining the first target road as newly added road information for the second electronic map, the second target road is a road of which the road grade belongs to the target road grade set.

The invention discloses a traffic flow information prediction method and device based on deep mutual learning and related equipment. The method comprises the following steps: receiving target road network traffic information and interest point information sent by an edge node; constructing a global traffic flow space-time diagram and a fusion flow space-time diagram based on the target road network traffic information and the interest point information; building a first network for extracting first global traffic flow space-time features based on the global traffic flow space-time diagram and the fused traffic space-time diagram, and fusing the traffic space-time features; building a second network for extracting second global traffic flow space-time features based on the global traffic flow space-time diagram and performing pre-training; and constructing a mutual transmission path of the first network and the second network, sequentially training in an alternate iteration mode to obtain a target traffic flow information prediction model, and predicting the real-time traffic flow information by adopting the target traffic flow information prediction model to obtain a prediction result. According to the invention, the timeliness and accuracy of traffic flow prediction are improved.

The present invention proposes a method, device and storage medium for step-by-step training of a neural network based on category information. The method comprises: an acquisition step, acquiring initial weight data of the neural network, and storing the initial weight data in a designated storage area; a selection step, selecting n unlabeled category sample sets from N category training sample sets to be trained; a training step, using the selected n unlabeled category sample sets to iteratively calculate the neural network to obtain a trained neural network; an updating step, updating the initial weight data in the designated storage area with the weight data of the trained neural network model; in the present invention, n category unlabeled sample sets are selected from N categories and labeled before being trained for neural network training, and the category information of the samples is fully utilized during the training process, thereby improving the training accuracy of the neural network, improving the updating efficiency and ensuring the training speed of the neural network.

The invention relates to the technical field of satellite communication, in particular to a TCAM (ternary content addressable memory) fast updating method and system architecture applied to spaceborne routing, and the TCAM fast updating method comprises the following steps: splitting a TCAM to obtain a plurality of TCAM partitions; receiving an update table item and a mask thereof; reordering the updated table item and the mask thereof, dividing the updated table item and the mask thereof into a plurality of sub-table items and masks thereof, and adding one to the sub-table items and the masks thereof to obtain a final sub-table item and a mask thereof; calculating a storage address range of the corresponding sub-table item in the corresponding TCAM partition according to the final sub-table item mask, and writing the sub-table item into the storage address range of the corresponding TCAM partition; according to the TCAM updating method and device, the updating table items and the masks of the updating table items are reordered and divided, the sub table items and the masks of the sub table items are obtained, the storage address range of the sub table items in the TCAM partition is obtained according to the sub table item masks, the updating efficiency of the TCAM is improved, and the updating time of the TCAM is shortened.

The invention provides a method for upgrading a microprocessor in terminal equipment, electronic equipment and a storage medium. The terminal device comprises a microprocessor and a communication module. The terminal equipment is in communication connection with the server; the method comprises the steps that a server obtains a first upgrade package, the first upgrade package is embedded into a second upgrade package in a constant array mode, the first upgrade package is a firmware upgrade package of a microprocessor, and the second upgrade package is a firmware upgrade package of a communication module; the server updates the communication module in an over-the-air OTA upgrading mode so as to install the second upgrade package in the communication module; and when the communication module receives the upgrading instruction, the first upgrading package is sent to the microprocessor, so that the microprocessor performs firmware upgrading according to the first upgrading package. According to the scheme, the updating process of the microprocessor can be simplified, the updating efficiency of the microprocessor is improved, and the management and maintenance work of terminal equipment is greatly facilitated.

The present invention discloses a qcow2 image file incremental update method, comprising: obtaining a qcow2 image file to be sent to a VOI client for updating the qcow2 image file in the VOI client; analyzing the metadata of the qcow2 image file to be sent, obtaining the data content, data size and sector offset of each allocated data cluster in a virtual disk corresponding to the qcow2 image file; sending the data content, data size and sector offset of each allocated data cluster to the VOI client; taking the data size, sector offset and the file handle to be written on the VOI client as parameters, and then writing the data content into the sector of the virtual disk corresponding to the qcow2 image file in the VOI client. During the incremental update process of the entire qcow2 image file, the VOI client does not need to prepare an additional large hard disk free space to store temporary data, and the VOI client only needs to perform a write operation on the qcow2 image file to be sent, which effectively improves the update efficiency and shortens the update time.