28results about How to "Reduce time overhead" patented technology

The invention belongs to the technical field of computer software and data processing, and provides a differential upgrading method for a compressed file, which is divided into a differential stage and a reduction stage: the differential stage: decompressing an original compressed package of a starting version and an original compressed package of a target version; unifying and standardizing file permissions for the two decompressed folders, and modifying, accessing and changing timestamps; re-compressing to generate a first new compressed file and a second new compressed file with byte-level certainty; generating a first difference file based on the difference between the standardized directory structure and the content; comparing the second new compressed file with the original compressed file of the target version, performing lossless analysis on the ZIP metadata, and performing structured modeling on difference information to generate a second difference file; in the reduction stage, standardization, first differential reduction, recompression and second differential driven metadata accurate reconstruction are sequentially executed, and a result completely consistent with the byte level of the original compressed file of the target version is output. According to the method, the differential compression ratio and the restoration fidelity can be improved.

The invention provides an operating method of a memory device and a memory device thereof. The memory device can be a three-dimensional NAND flash memory with high capacity and high performance. The operating method includes performing a program operation on the plurality of memory cells based on the i-th potential state. The programming operation based on the ith potential state comprises the following steps: in a programming pulse stage, applying a programming pulse corresponding to the ith potential state to a plurality of first storage units corresponding to the ith potential state; and, in a verification stage after the program pulse stage, performing a first sensing operation on the plurality of second memory cells in the (i-1)-th potential state to verify a threshold voltage distribution situation of the plurality of second memory cells, and performing a second sensing operation on the plurality of first memory cells to implement a program verification operation in the i-th potential state.

The invention discloses a grid exhaustion search cross-pulse pairing method based on correlation matching, and belongs to the technical field of radio signal positioning and detection. According to the method, aiming at the problems of large cross-pulse signal pairing calculation amount and low accuracy in a multi-aircraft cooperative positioning system, efficient and accurate cross-pulse pairing is realized by establishing a cross-pulse boundary model, a symbol matching constraint mechanism and a related matching verification mechanism. The method comprises: determining upper and lower bounds of a cross-pulse according to a geometrical relationship; correcting the search range by using symbol matching; solving a candidate target solution in the limited interval by adopting grid exhaustion search; and a unique effective solution is screened through time and geometry consistency verification. The method can effectively reduce the calculation complexity, improves the cross-pulse pairing precision and uniqueness, and is suitable for a passive positioning system in a multi-target, multi-base-station and low-signal-to-noise-ratio environment. Experiments prove that the pairing time can be shortened by about 50% while high positioning precision is kept, and the method has high engineering application value.

The invention discloses an index-based content awareness influence maximization query response method and device. The method comprises the following steps: 1) establishing an index node selection mechanism based on minimum vertex coverage approximation; 2) constructing a space-efficient index table to store content perception reachability information; 3) designing a reachability table estimation method to calculate a reachability probability lower bound between node pairs; and 4) providing pruning accessibility table estimation and an inertia forward greedy algorithm to optimize query efficiency. Verification on Wiki, Twitter and other real network data sets shows that the propagation effect of the method is similar to that of an existing optimal influence maximization method, and the query response speed is increased by 1-2 orders of magnitude.

This invention relates to an FPGA-based method for correcting endoscopic images, an endoscopic system, and a medium. The FPGA-based method for correcting endoscopic images includes: acquiring the current spatial attitude data of the endoscopic probe using an FPGA chip; calculating the current roll angle of the endoscopic probe based on the spatial attitude data; calculating the position coordinates of a target pixel in the original image based on the roll angle and the pixel coordinates of the target image; calculating the pixel value of the target pixel based on the position coordinates of the target pixel in the original image and the pixel values ​​of at least four pixels in the pre-cached original image; and integrating the pixel coordinates of the target image and the pixel value of the target pixel to obtain the target image.

The application provides a dynamic data chart statistical method and device, and relates to the technical field of big data. The method comprises the following steps: receiving a data query request of a user; querying full data corresponding to the data query request from a server backend according to the data query request; storing the full data in a data visualization chart library corresponding to a pull-down box selector of a front-end interface; the pull-down box selector provides a plurality of statistical index options of user-specified data in the full data for the user; after the user selects a first statistical index option from the pull-down box selector, extracting the user-specified data from the data visualization chart library, inputting the user-specified data and the first statistical index option into a data statistical analysis model, and outputting a first statistical analysis result; visually rendering the first statistical analysis result to generate a first visualization chart; and showing the first visualization chart to the user.

An MIMO array sparse rapid design method of a fuzzy function generator based on deep learning comprises the following steps: firstly, directly learning a fuzzy function mapping relation corresponding to virtual array configuration and an incident angle by using a deep learning model so as to replace a traditional analysis fuzzy function calculation process depending on a manifold matrix; and then performing efficient performance evaluation on the candidate sparse array based on the fuzzy function generator, and obtaining a sparse array structure meeting the requirements of high resolution and low sidelobe in combination with an optimization strategy. By means of the technology, acceleration of more than 35 times can be achieved on the premise of not explicitly calculating the fuzzy function, the fuzzy function prediction root mean square error (RMSE) lower than 0.1 is kept, and therefore the sparse array design time is greatly shortened. Experiments on a 2T4R K-band MIMO radar prove that the designed array achieves 10 dB sidelobe level in a 100-degree field of view, the angular resolution is improved by about 32.8%, and the effectiveness and engineering application value of the method in high-resolution MIMO sparse array design are proved.

Embodiments of the present application provide a data classification method and device, processing equipment and storage medium, relating to the field of security science and technology. The fingerprint of the data to be classified is segmented to obtain a plurality of to-be-matched fingerprint segments; a candidate fingerprint set is determined according to the results of the segmented search of each to-be-matched fingerprint segment in a preset database, the candidate fingerprint set including a plurality of candidate fingerprints; each candidate fingerprint in the candidate fingerprint set is matched with the fingerprint of the data to be classified to determine a target fingerprint, and the classification result of the data to be classified is determined according to the target fingerprint. The fingerprint of the data to be classified is segmented and then searched in the preset database to determine the target fingerprint, which, compared with the way of searching and matching the whole fingerprint in the prior art, reduces the search and matching overhead of the system, reduces the search time and improves the efficiency.

This invention provides a multi-channel continuous fast packet reception, sorting, and lock-free asynchronous read / write method, relating to the fields of computer communication and storage technology. The method includes: employing a dynamic expansion mechanism to continuously receive and store multi-channel data packets; classifying and sorting the stored data packets; and asynchronously reading and writing the parsed data packets in a lock-free manner. This invention generates an independent message stack for each channel, enabling continuous reception and storage of messages from multiple channels without pre-allocating excessive memory space. The speed of receiving buffer expansion is dynamically adjusted based on data flow rate. Fast classification and sorting of data packets is achieved using a hash table or sorted binary tree. A circular stack is created to sequentially store the parsed data content of each packet, updating the stack top position after data content is stored. When reading data, the starting position for reading is found using the stack top position and the number of packets read, and then the data is copied, thereby achieving lock-free asynchronous parallel data read / write.

This disclosure relates to a simulation method, electronic device, and computer-readable storage medium for semiconductor devices. The method includes: constructing a multi-branch tree structure based on meshed data of a meshed semiconductor device, the multi-branch tree structure including at least a root node, multiple layers, and multiple leaf nodes, each leaf node representing a corresponding polyhedron among multiple polyhedra in the meshed semiconductor device; in response to determining a first spatial position of a particle within the semiconductor device, determining a first search path from the root node to a first leaf node among the multiple leaf nodes based on the correspondence between each leaf node and its corresponding polyhedron; and in response to the particle moving from the first spatial position to a second spatial position within the semiconductor device, determining a second search path in the multi-branch tree structure based on the first search path to determine a second leaf node representing the polyhedron where the second spatial position is located. This method effectively improves the performance of ion implantation simulation.

The invention discloses a nonvolatile loop log recording and managing method based on EFLASH storage. The nonvolatile loop log recording and managing method comprises the following steps: S0, dividing a storage area, defining an information area and defining a log format; s1, initializing a log system; s2, executing a log core service; and S3, log transmission and analysis. Reliable, long-term and connectionless running log recording and analysis are realized through a structured storage mode, the fault tracking efficiency is remarkably improved, the debugging cost is reduced, the storage condition of the whole EFLASH storage area is maintained through an EFLASH content traversal method by means of two arrays stored in an RAM (Random Access Memory), and the time overhead caused by frequent EFLASH traversal is reduced.

The application relates to the technical field of digital copyright management and distributed data processing, and discloses a structured digital copyright unit packaging method and system, which comprises the following steps: acquiring regional, type and medium information codes of digital content, assembling and generating a structured identification code according to a preset bit distribution strategy; cutting and extracting a coordinate mapping vector set according to a preset rule; calculating a hash check value by splicing the identification code, the coordinate vector and the data block, performing hierarchical merging operation to recursively aggregate and output a root hash string; and mapping and packaging the root hash, the identification code and metadata into a digital copyright unit; the system comprises attribute acquisition, code generation, slicing, hash processing, binding, packaging and transaction docking modules, and is used for executing the above method. The application realizes cross-platform local unified analysis of digital assets, supports efficient and consistent verification of local data by binding the identification, the coordinate and the data entity through hashing, and improves the security and compliance of copyright circulation.

This invention discloses a secure computation method, apparatus, and chip for information. The method includes: during secure computation, obtaining the dividend and modulus of a modulo operation; determining a transformation constant for converting the dividend to the Montgomery domain based on the modulus, and secretly calculating a Montgomery modular multiplication factor based on the transformation constant and the modulus; dividing the dividend into multiple local dividends based on the transformation constant, and performing a matching Montgomery modular multiplication on each local dividend according to its position within the dividend and the Montgomery modular multiplication factor, obtaining multiple local modulo results; and calculating the modulo operation result between the dividend and the modulus based on the multiple local modulo results. The technical solution of this embodiment is based on an improved Montgomery modular multiplication algorithm, achieving fast and secure modulo computation during secure computation of information, improving the speed of modulo computation while resisting side-channel attacks.

The present application relates to the field of image acquisition control, and provide a kind of camera frame rate self-adapting adjustment method and system based on image overlap degree.The method comprises: preset parameter, obtain initialization configuration;According to the initialization configuration, start image acquisition, and the complexity analysis is carried out to current frame image and reference frame image, obtain image complexity index;According to the image complexity index and current computing load, the current frame image and reference frame image are pretreated, and obtain preprocessed image pair;The preprocessed image pair is input based on the initialization configuration feature matching algorithm, obtain interframe overlap degree estimate value and multi-frame average overlap degree;With the interframe overlap degree estimate value and multi-frame average overlap degree and preset overlap degree threshold range are compared, current acquisition frame rate is adjusted, and obtain optimization frame rate.The present application reduces the hardware integration complexity of image system, and improves the adaptability of frame rate adjustment.

The invention relates to the field of signal processing and the technical field of semiconductor integrated circuits, in particular to a storage and calculation integrated MIMO precoding circuit, a storage and calculation integrated MIMO precoding method, an operation framework and a communication system. Comprising two groups of novel memory arrays, an operational amplifier, a voltage phase inverter, a current phase inverter and a trans-impedance amplifier, the first novel memory array comprises a first sub-array, a second sub-array and a third sub-array, and the second novel memory array comprises a fourth sub-array and a fifth sub-array; the second sub-array is connected with the third sub-array through the voltage phase inverter, and the fifth sub-array is connected with the trans-impedance amplifier through the current phase inverter. The two novel memory arrays cooperatively work in the same analog calculation loop, so that the circuit directly outputs a pre-coding result in a steady state, and sampling hold, interface buffer and additional control logic required by cascade connection of multi-stage modules in the prior art are avoided, thereby reducing system time delay and power consumption overhead.

The application provides a hurricane path prediction method and system based on a recurrent neural network, comprising: carrying out grid processing on a delimited hurricane path area; calculating the moving distance and moving angle of each coordinate point as data enhancement; using a three-layer long short-term memory network as the main recurrent neural network of a prediction model; the main network is a long short-term memory model carrying a Dropout layer with a proportion coefficient of 0.1; the output layer is a fully connected layer activated by a hyperbolic tangent function, the model training uses a momentum-based gradient descent algorithm RMSProp, and the training target is the square error of the predicted longitude and latitude coordinates; the output layer of the prediction model is composed of a grid ID prediction layer and a coordinate correction layer to finally predict the hurricane coordinates. In the prediction stage, the inference prediction based on the recurrent neural network only depends on the forward propagation of the model, and it is not necessary to carry out associated search on the historical database, so that the performance of the hurricane path prediction is greatly improved.

Embodiments of the present disclosure provide a memory system and an operating method thereof, a storage medium and a memory controller, wherein the memory system comprises at least one nonvolatile memory device and a memory controller coupled with the at least one nonvolatile memory device; wherein the memory device stores a multi-level mapping table for implementing mapping of a logical address to a physical address; the memory controller comprises a cache storing part of the multi-level mapping table; and the memory controller is configured to perform a random read operation on data stored in the memory device; wherein, in response to a random read range corresponding to the random read operation satisfying a preset condition, the capacity of the cache for storing different levels of mapping tables is adjusted.

The invention discloses a time sequence consistency modeling method for a dynamic change scene, and belongs to the technical field of computer vision and video processing. Dynamically capturing semantic similarity between a front frame and a rear frame through a learnable convolution kernel, constructing a feature propagation network based on a depth feature flow, and performing nonlinear mapping and adaptive weighting on semantic features of a front frame and features of a current frame; calculating local semantic similarity through corresponding shallow guide features by using deep semantic features of front and back frames, generating a learnable spatial adaptive interpolation weight, and performing structure alignment and fusion on features of adjacent frames; the target transformation, the target detection and the target matching are carried out in sequence, and the intersection-to-union ratio IoU between the target frames is calculated under the common view angle, so that the matching deviation caused by the view angle difference can be remarkably reduced, and the target association is more regular and geometrically consistent. According to the method, the problems of video semantic prediction flicker, artifacts, texture slippage and the like caused by strenuous movement of a camera, non-rigid deformation of an object and frequent shielding are solved.

The invention provides an arithmetic logic unit, an instruction processing method and computer equipment. The arithmetic logic unit comprises an internal cache space, an address allocation module and an operation module; the internal cache space is used for caching a reusable first source operand; the address allocation module is used for allocating a first cache address of a target operand in a first source operand to the first instruction under the condition that the target operand with the same storage address exists in a second source operand required by the first instruction to be processed and the first source operand; the storage address is an address of the corresponding source operand in an external storage space deployed outside the arithmetic logic unit; the first cache address is a cache address of the target operand in the internal cache space; and the operation module is used for executing an operation corresponding to the first instruction based on the target operand in the first cache address.

This invention discloses an adaptive dynamic identifier-based bidirectional key-value (K-V) file management method and system. The method involves: inputting the location information of the target file and at least one corresponding identifier; establishing a one-to-one association between the location information and the at least one identifier; performing a search in the location index of the bidirectional K-V set library using the location information of the association pair, and updating or adding the association information in the location index; performing a search in the identifier index of the bidirectional K-V set library using the identifier information of the association pair, and updating or adding the association information in the identifier index; automatically updating the identifier index information with the location index information, and updating the location index information with the identifier index information; receiving user search commands and performing a search in the identifier index to match the identifier information; and displaying the location information associated with the matched identifier information. This achieves efficient and convenient management of the user's target files.

The application discloses a model training method, a beam tracking method, a device, equipment and a medium. The model training method comprises the following steps: generating a millimeter wave beam tracking sample according to a historical millimeter wave beam index sequence; when a current beam tracking model needs to be trained at a sending end or a receiving end, performing beam tracking training on the current beam tracking model according to the millimeter wave beam tracking sample to obtain a target beam tracking model; and the target beam tracking model is used for tracking a millimeter wave beam. The technical scheme of the embodiment of the application reduces the time cost of millimeter wave beam search, keeps stable tracking of the millimeter wave beam sent by a terminal in fast motion, and can effectively adapt to a high dynamic communication environment.

The present application belongs to the technical field of program analysis, and relates to a high-efficiency analysis method and system for a result of a pollution analysis. The method comprises the following steps: receiving and verifying an input propagation process file and a node relationship file; constructing a mapping relationship from a source node to a target node for the node relationship file and extracting instruction numbers, generating a source node-target node mapping file and an index file according to the mapping relationship from the source node to the target node, and generating an instruction number file according to the instruction numbers; performing segmented processing on the propagation process file to obtain a segmented file and a segmented information file; and locating and querying pollution propagation information of any instruction number or index position by using the files. The present application realizes high-efficiency processing and fast querying of a large-scale pollution analysis result file, solves the problems of excessively large file size, low querying efficiency and excessive memory occupation in the prior art, and significantly improves the analysis and querying capacity for pollution analysis result data.

The present application relates to a kind of equipment time series data storage model construction method and system suitable for coal mine multi-disaster fusion analysis, belong to coal mine safety disaster analysis technical field, to solve the problem of data effectiveness, history deficiency in prior art.The method first abstracts equipment time series data into point type data mode and line type data mode, and constructs the data storage conceptual model including monitoring time series data model, alarm time series data model, personnel positioning monitoring data model, monitoring time series slice data model and alarm time series slice data model.Database system using NoSQL technology, design the database table into conceptual model, and create the corresponding wide table structure, take column-based storage mode, set the compression strategy of column, realize long-term online storage and efficient reading of data.The equipment time series data storage model constructed by the present application can effectively reduce the complexity of data access, reduce data load and operation amount.

A method for optimizing Wasm bytecode includes: reading and parsing Wasm bytecode to obtain a Wasm module object; creating and filling linear memory based on the parsed Wasm module object; executing the start function in the Wasm module object, compressing the execution result data of the start function, and modifying the linear memory using the compressed execution result; replacing the corresponding data segment in the Wasm module object with the data in the modified linear memory; encoding the Wasm module after replacing the data segment and saving it as Wasm bytecode.

This invention provides an on-chip module control method, apparatus, electronic device, and storage medium, relating to the field of module control technology. The method includes: acquiring an access request from a standard bus interface; converting the access request into a control message of a preset format; sending the control message to the first device in a ring topology; and controlling the control message to propagate unidirectionally along the ring topology, so that multiple device proxy modules on the ring topology execute corresponding operations according to the control message. This approach improves system startup efficiency and real-time response capability, while reducing time overhead and bus resource waste.

This invention discloses a cargo handling method and system. The cargo handling method uses a camera component located on the front side of a mobile chassis or the side of the first axis of a handling robot to capture images. This reduces the distance between the camera and the front side of the mobile chassis, preventing the camera's field of view from being blocked by the mobile chassis. The camera component tilts the highest camera downwards to take pictures, while the other cameras tilt upwards to take pictures. This allows for full coverage of the cargo stack height when the distance between the handling robot and the cargo is small. Furthermore, the entire handling process does not require vertical adjustment of the camera's viewfinder. The three cameras allow for a relatively small vertical field of view for each camera while ensuring coverage, thus improving the accuracy of the captured images. Additionally, when the target image is acquired, handling is preferentially performed from the top surface of the cargo, resulting in more reliable handling.

This invention discloses a resolution-bandwidth adaptive interference signal identification method, system, and device, relating to the field of spectrum monitoring technology. The method includes acquiring a monitoring signal collected by a monitoring device at the current resolution bandwidth and determining its power spectrum; adaptively adjusting the resolution bandwidth to ensure the monitoring signal does not exceed the spectrum monitoring range and the number of target signal frequency points meets a second condition: the number of signal frequency points is greater than or equal to a lower threshold and less than or equal to an upper threshold; the target signal frequency points are defined as the number of signal frequency points between the minimum and maximum signal frequency points; obtaining a signal feature parameter set based on the minimum and maximum signal frequency points and the power values ​​between them; and determining the interference type identification result based on the signal feature parameter set, an interference signal feature library, and a classification and identification model. This invention ensures the effectiveness and timeliness of interference signal feature extraction.

The application provides a large model content security management method, device and equipment, the method comprises the following steps: obtaining metadata corresponding to the to-be-detected text and attack detection report corresponding to the to-be-detected text; generating a target prompt word based on the metadata and the attack detection report; performing content security analysis based on the target prompt word and the to-be-detected text to obtain a first analysis result, which can represent whether the to-be-detected text contains specified type content; if the to-be-detected text contains the specified type content, the to-be-detected text is prohibited from being input into the large model; if the to-be-detected text does not contain the specified type content, the to-be-detected text is input into the large model, so that the large model determines detection result data corresponding to the to-be-detected text. Through the technical scheme of the application, the accuracy of content security analysis is greatly improved, the accuracy and interpretability of judgment are greatly improved, and the false positive rate of detection is effectively reduced.