246 results about "Pattern processing" patented technology

The invention provides a chip system and an access method, relates to the technical field of chips, and improves the data access performance of a high-performance computing system. According to the specific scheme, the chip system comprises a snoop filter, a plurality of processor cluster nodes and a plurality of memories, the processor cluster nodes are coupled through a bus, the snoop filter is coupled with the bus, the processor cluster nodes are in one-to-one correspondence with the memories, and the snoop filter adopts a unified directory format. The snoop filter is used for obtaining an access request initiated by the processor cluster node, and the access request comprises address information. The snoop filter is further used for determining an access mode of the access request based on the address information, wherein the access mode comprises a unified memory access mode and a non-unified memory access mode. The processor cluster node is to access the memory based on the access pattern and the access request. The embodiment of the invention is used for the process of accessing the memory by the processor cluster node.

A computer-implemented method comprises obtaining a source image and a target image, determining a first point cluster by processing the source image using a machine learning mode, determining a second point cluster by processing the target image using the machine learning model, uplifting the first point cluster to obtain an uplifted first point cluster, uplifting the second point cluster to obtain an uplifted second point cluster, estimating a transformation that maps the uplifted first point cluster to the uplifted second point cluster, applying the estimated transformation to the uplifted first point cluster to obtain a candidate reconstruction of the uplifted second point cluster, and updating the machine learning model to reduce a loss function including a term penalizing a difference between the uplifted second point cluster and the candidate reconstruction of the uplifted second point cluster.

The invention discloses a three-dimensional curved surface pattern layering processing method based on parameterized segmentation, and aims to solve the problem of high-precision pattern processing on the surface of a curved surface by using a laser scanning galvanometer. The method comprises the following steps: firstly, importing a three-dimensional model, and carrying out parameterization processing to obtain a two-dimensional parameter domain; positioning a to-be-processed plane pattern in the two-dimensional parameter domain to form a complete two-dimensional geometric grid covering a pattern area, generating a three-dimensional pattern grid attached to a curved surface, and calculating a center normal vector of the three-dimensional pattern grid; then, generating an equidistant plane group on the surface of the curved surface, and calculating an intersection line of the plane and the three-dimensional pattern grid as a laser scanning track; and the five-axis linkage platform-galvanometer system is started for machining. Through the parameterization domain, distortion of curved surface pattern machining is effectively solved, machining uniformity is improved, and the method is particularly suitable for laser machining of large-scale or high-complexity curved surface patterns.

The invention discloses a large language model enhanced table question answering method based on thinking chain reasoning, and belongs to the technical field of natural language processing. The method comprises the steps that a form question and answer CoTSQL model based on a thinking chain and a framework extraction model are constructed, an example screening module generates an SQL framework architecture of a natural language question through the framework extraction model, and an example similar to a target question is selected by using a screening algorithm according to a framework category; mode linking is carried out in the mode processing module, key table information and mode relations are extracted, and a context environment is provided; the prompt construction module integrates the screened examples and the processed mode information into a CoTSQL style prompt, and inputs a large language model to generate a preliminary SQL query; and the SQL correction module detects and repairs illusion errors generated by the large language model through SQL repairs and a consistency strategy, and executes revised SQL query in a database to finally obtain an accurate table question and answer result. According to the method, the accuracy and robustness of SQL query are effectively improved.

A method and computing system for providing a non-gambling game are disclosed. A processor of a client device launches an application to play a non-gambling game. The processor determines whether a playout mode of the non-gambling game is a manual mode or an automatic mode. The processor receives a quantity of results of a block of results. The block includes multiple results for the non-gambling game. The processor outputs a representation of one or more results of the block on a display. If the playout mode is the manual mode, then outputting the representation includes displaying a respective animation for the one or more results of the block. If the playout mode is the automatic mode, then outputting the representation includes displaying an award amount based on all results of the block without displaying an animation for every individual result of the block.

Techniques are disclosed to detect, isolate, and / or mitigate an attack on a file system, for example, by malicious software, human actors, and / or compromised Internet-connected devices (bots). A processor of a data processing system detects an abnormal file system access pattern to a file system by applying statistical process control to network layer packets. Based on detecting the abnormal file system access pattern, the processor temporarily suspends file system access by at least one user ID contributing to the abnormal file system access pattern. The processor provides a notification identifying one or more file system object accessed in the abnormal file system access pattern.

The invention discloses a protocol reverse analysis method based on multi-feature extraction and semantic simplification, and the method comprises the steps: carrying out the classification extraction of features in a protocol message, and dividing the features into fixed features, variable features and associated features; on the basis of extracting the three types of features, a targeted semantic simplification strategy is further introduced. For fixed features, repeated information is reduced by combining similar semantic fields, and the conciseness of feature expression is optimized. For change features, a feature modeling processing strategy is adopted, the change rule of progressive increase and progressive decrease features is uniformly summarized, and a fixed part and a change part of a fixed-length selectable feature are separately processed, so that the integrity of change information is ensured, and meanwhile, the dimensionality and redundancy are reduced. And for associated features, hidden field association is mined by applying logic relationship analysis between fields, so that the expressive force and accuracy of the feature library are improved. Through the series of semantic simplification processing, the feature extraction efficiency is remarkably improved.

Aspects of the disclosure provide methods and apparatuses for video decoding. In some examples, an apparatus includes processing circuitry. The processing circuitry decodes prediction information of a current block from a coded video bitstream. Based on an intra block copy mode being applied to the current block, the processing circuitry infers a vector resolution flag indicates that a resolution of a block vector is integer-pel, determines the resolution of the block vector based on resolution information that is included in the prediction information, determines the block vector according to the determined resolution, and reconstructs at least one sample of the current block according the block vector.

The invention discloses an intelligent optimization processing system and method for an embroidery pattern, and relates to the technical field of pattern processing. When the system runs, embroidery pattern data are collected from multiple sources, key feature points and line information of the pattern are recognized and extracted, feature analysis is performed on the embroidery pattern, and according to different embroidery requirements, the embroidery pattern is subjected to intelligent optimization processing; the method comprises the following steps: segmenting a pattern into a plurality of regions, obtaining pattern feature points, calculating an embroidery path length L by adopting an optimization algorithm based on the segmented pattern regions, ensuring the minimization of an embroidery stitch and the smoothness and coherence of the whole pattern, and automatically adjusting parameters of an embroidery machine according to the complexity and density of the pattern and the attribute of a selected material. The method comprises the following steps: performing analogue simulation on an optimized embroidery path and parameters, pre-estimating an effect after embroidery is completed, calculating to obtain an embroidery pattern quality prediction index Cyzl, performing threshold comparison according to a calculation result to obtain quality prediction grade evaluation, proposing an optimization suggestion, and generating a final embroidery pattern file.

The invention discloses a covalent functionalized MXene artificial synapse and a preparation method thereof, relates to the technical field of artificial intelligence, and aims at solving the problems of how to enrich the overall characteristics of cranial nerve-like chips and promote the artificial intelligence technology. The preparation method comprises the following steps: selecting a substrate; performing patterning treatment on the grid electrode, the source electrode and the drain electrode on the substrate by utilizing a photoetching process, and performing electron beam evaporation to deposit a metal layer and performing stripping to obtain a metal electrode pattern; carrying out patterning processing on the channel region on the substrate by utilizing a photoetching process; the MAX phase material is subjected to in-situ acid etching in combination with mechanical stripping to obtain a few layers of T < 3 > C < 2 > TX MXene; forming a uniform T < 3 > C < 2 > TX MXene film on the substrate through a coating process, and obtaining a channel region pattern through stripping; preparing an iodonium salt solution, and immersing the prepared device into the iodonium salt solution to complete covalent functionalization; and preparing an electrolyte solution, and dripping and casting electrolyte on the Ti3C2TX MXene channel layer, the grid electrode and the exposed substrate.

The invention discloses a marine frequency converter intelligent cooling system based on integrated modularization, relates to the technical field of ship power electronic equipment heat dissipation, and discloses the marine frequency converter intelligent cooling system based on integrated modularization. Comprising five core modules, wherein a data acquisition module is responsible for acquiring and preprocessing temperature, humidity and salt mist concentration data; the route analysis and model establishment module establishes and optimizes a model for predicting future environmental parameters by analyzing a route and applying a random forest algorithm; the threshold value calculation and optimization module calculates a dynamic threshold value in real time and continuously adjusts according to the ship speed and environmental parameters to continuously optimize threshold value parameters; the mode processing and conversion module identifies an extreme environment combination, triggers corresponding processing measures, and smoothly adjusts processing parameters and modes; and the route adjustment and safety protection module sets an intermediate value and an adjustment curve, continuously monitors the state, and automatically gives an alarm and takes measures when a fault or an abnormality occurs.

A defect prediction method for a device manufacturing process involving processing a pattern onto a substrate, the method comprising: identifying a processing window limiting pattern (PWLP) from the pattern; determining a processing parameter under which the PWLP is processed; and determining or predicting, using the processing parameter, existence, probability of existence, a characteristic, or a combination thereof, of a defect produced from the PWLP with the device manufacturing process.

A monitoring server is provided for learning event patterns in pharmaceutical order processing and identifying anomalous events based on learned event patterns. The monitoring server is configured to define a plurality of feeds of monitoring data from the monitored nodes using a monitoring link. The feeds of monitoring data are defined at least partially based on the monitoring vector definition. Each feed of monitoring data is associated with pharmaceutical order processing. The processor is additionally configured to determine a set of monitoring vector data for each of the plurality of feeds of monitoring data. The processor is also configured to identify a monitoring vector signature for each of the plurality of feeds. The processor is also configured to identify an anomalous data pattern. The processor is also configured to transmit an alert indicating that pharmaceutical order processing for the associated feed of monitoring data is anomalous.

The invention discloses a mask pattern processing method and device, a medium and a product, and is applied to the field of semiconductor manufacturing. In the method, after a main node divides a mask graph needing optical proximity effect correction to obtain a plurality of sub-layouts, corresponding layout data are written into a storage device, and a corresponding calculation task is sent to an intermediate scheduling node. And the intermediate scheduling node responds to the task application instruction of the at least one slave node and distributes the calculation task. According to the embodiment, the layout data is directly written into the storage equipment, so that the intermediate scheduling node does not need to acquire the layout data from the main node, but directly reads the layout data from the storage equipment, the limitation of communication resources is avoided, a plurality of slave nodes can acquire tasks and acquire the layout data in parallel, the script running efficiency is improved, and the script running time is shortened. The resource utilization rate is improved; and the overall performance of the system is guaranteed.

Various methods, apparatuses, systems, and media for implementing endpoint detection and response and data protection correlation are disclosed. A correlation engine receives a data stream from multiple sources and one or more patterns. A processor analyzes the data to relate an event to the one or more patterns and executes a policy when the event matches the one or more patterns to identify suspected encrypted data files. The processor transfers the suspected encrypted data files and an encryption key to a controlled testing environment to use the encryption key to safely decrypt the suspected encrypted data files and to test the suspected encrypted data files to determine a potential network impact of executing each of the suspected encrypted files on the network. The processor detonates, from the controlled testing environment, the suspected data files confirmed during the testing to have a negative impact on the network.

The invention discloses a manufacturing method of a high-speed data transmission control circuit board, which comprises the following steps of: forming a to-be-drilled plate through processing in a previous process, and manufacturing a blind hole and a through hole in the to-be-drilled plate to form a to-be-plated plate; and electroplating the to-be-plated board, and performing post-process processing to form the circuit board. The to-be-plated plate swings in parallel relative to the left and right side walls of the electroplating cylinder and vertically swings relative to the front and rear side walls to form a swinging path; a swing path is designed for a to-be-plated plate, the diffusion speed of electroplating liquid is increased, the exchange rate and sufficiency of the electroplating liquid are guaranteed, the quality problem of an electroplated layer caused by bubbles or other defects is reduced, the effect of electroplating through holes and blind holes at the same time is achieved, and the phenomenon that a plate body expands or contracts due to secondary electroplating is effectively avoided; and the subsequent drilling and pattern processing precision is influenced. And the swing path design and the application of the fixed pulse current and the strong and weak alternating pulse current ensure that the coating is more uniform, and effective relevance is formed before and after the whole processing flow.

A data processing system and method provides automated extraction, translation, load (ETL) operations. A server coupled with the processor executes the instructions and extracts data from various sources, such as cloud storage, external APIs and direct uploads. The system may include a stream mode processing unit to process large data files in manageable blocks, thereby improving efficiency and reducing memory load. It performs integrity checks to ensure data accuracy and consistency. The system configures and applies predefined and custom transitions, which is facilitated by user-friendly interface and API integration. Custom conversion logic is integrated into the process, allowing adaptive data operations to be performed. The converted data is then verified and formatted to be loaded into different destination systems. The ETL process is efficient, extensible and user-friendly, and thus suitable for wide data processing applications.

A system includes a memory configured to store a software application and a plurality of microservices including a set of independent software service components configured to be independently executed. The system includes processors operably coupled to the memory and configured to receive a request to initiate an execution of interactions with the software application for satisfying the request, and to identify, based on the request, one or more microservices to be executed to initiate the execution of the interactions with the software application. The processors further execute one or more generative machine-learning models trained to identify anomalous interservice interaction patterns between the one or more microservices. In response to identifying the anomalous interservice interaction patterns, the processors dynamically update operations processes associated with the one or more microservices, and further execute the one or more microservices to initiate the execution of the one or more interactions with the software application.

The invention discloses a large-area phase pattern processing method and device, and belongs to the field of phase plate processing. The method comprises the following steps: dividing a phase pattern to be processed into a plurality of blocks; controlling a first displacement table to move a corresponding position of the substrate to a light processing position based on one selected block of the plurality of blocks; a second displacement table is controlled to move the substrate in the blocks based on the moving direction of the first displacement table, and light processing is carried out; selecting a next block of the plurality of blocks; and the steps are repeated until the machining of the multiple blocks is completed. According to the method, extremely-high-precision large-area pattern transfer can be achieved, the problem that it is difficult to balance the area and precision in a traditional machining technology is solved, the phase plate prepared through the method is large in area, high in fineness and high in stability, and different patterns can be flexibly adjusted and prepared according to actual needs.

The invention relates to the technical field of image processing, and discloses a manicure inkjet method and system based on artificial intelligence, and a storage medium. The method comprises the following steps: performing pattern analysis through a pattern processing system to obtain a pattern parameter matrix; performing spectrum scanning and feature extraction on the fingernails to generate an adaptive parameter packet; performing isolated spraying according to the boundary data and the morphology data to form a protective film; carrying out bottom color spraying according to the pattern parameters and the adaptive parameters; performing 3D spraying based on the pattern data and the ground color layer to obtain a pattern layer; and finally, performing quality evaluation to generate evaluation data. According to the invention, through a data driving and intelligent control mode, the accuracy and the restoration degree of manicure inkjet are remarkably improved.

Data processing systems and methods provide for automated Extract, Transform, Load (ETL) operations. A server, coupled with a processor, executes instructions to extract data from various sources such as cloud storage, external APIs, and direct uploads. The system can include a stream mode processing unit for handling large data files in manageable chunks, thereby enhancing efficiency and reducing memory load. It performs integrity checks to ensure data accuracy and consistency. The system configures and applies both predefined and custom transformations, facilitated through a user-friendly interface and API integration. Custom transformation logic is integrated into the process, allowing for adaptable data manipulation. The transformed data is then validated and formatted for loading into diverse destination systems. This ETL process is efficient, scalable, and user-friendly, making it suitable for a wide range of data processing applications.

A processor may capture network packets from a communication channel between a user and an application, the network packets comprising a data structure package. A processor may identify a schema of a payload used in the data structure package of the network packets. A processor may dynamically generate payload schema processing code using a machine learning dynamic protocol parser by applying a machine learning model to the schema of the payload, the payload schema processing code including a description of each field of the data structure package and a parser function for extracting a prompt. A processor may iterate the dynamically generating of the payload schema processing code until the payload schema processing code meets a predefined accuracy and functionality criteria that successfully extracts the prompt.

The invention discloses a digital automatic module design implementation method for a scoliosis orthosis. Modules are automatically loaded on the model according to scoliosis characteristic parameters of a patient, an orthosis principle and an evaluation result, default positions and shapes of the modules are different, adjustable grid points are arranged on the bottom layers, and the modules are automatically matched after loading. The module has pressurizing and releasing functions, can simulate gypsum positive pattern processing according to image moving positions and selection intensity, can also carry out mirror image operation to guarantee symmetry, can compare design areas, reset a deformation module and carry out fine adjustment, and can also simulate a gypsum process tool processing model. And then designing a cutting line generation model which can be used for a manufacturing process and can be exported in multiple formats. Corresponding module combinations are designed for various types, a precise personalized scheme is provided for scoliosis correction, the correction effect and the comfort of a patient are effectively improved, the design process is simplified, and clinical application and data management are facilitated.

The invention belongs to the technical field of electronic manufacturing and printed circuit boards, and particularly relates to a lamination method and system of a multilayer flexible circuit board, which comprises the steps of providing a flexible substrate layer, forming a graphical photosensitive layer, arranging a binder layer, stacking a multilayer structure, performing exposure development and lamination treatment and the like. The system comprises a material supply unit, a graphical photosensitive layer forming unit, a lamination stacking unit, a graphical processing unit and a lamination unit, and full-process automation is realized through a central control unit. According to the invention, the positioning and alignment precision can be improved, the material compatibility is optimized, the process integration level is enhanced, and the lamination quality is improved, so that the production efficiency and the product yield of the multi-layer flexible circuit board are remarkably improved.

The invention relates to the technical field of biological recognition, in particular to a multi-scene-oriented dynamic voiceprint recognition updating method, which comprises the following steps: synchronously acquiring voice signals through a 16-channel MEMS microphone array and a throat three-axis acceleration sensor, and constructing a three-dimensional data set containing acoustic scene fingerprints, semantic contexts and emotional characteristics; extracting features by adopting a scene adaptive dual-mode processing architecture, and extracting semantic features and emotional state coding vectors to form a multi-dimensional feature set; based on the multi-dimensional feature set, calculating a matching degree by using a Gaussian mixture model, monitoring a scene mutation index, and triggering an online clustering reconstruction mechanism to optimize a feature weight; deploying a three-level pipeline architecture for real-time processing; and generating a scene adaptation factor according to the MFCC-PLP mixed feature matrix and the environmental parameters to perform multi-feature joint matching. According to the invention, the adaptability of voiceprint recognition in a complex scene can be improved.

To provide a palletizing pattern creation system etc. that enables a user to set a palletizing pattern for work with a high degree of freedom. [Solution] The processor 23 is configured to execute the following steps by reading out a program. In a first reception step, input of palletizing information including at least one of the size of the workpieces to be placed in the placement area and the size of the placement area is accepted. In a layout creation step, a plurality of layout plans are created using a plurality of pre-registered arrangement patterns based on the palletizing information. Each of the plurality of arrangement patterns is a two-dimensional arrangement of the workpieces. In a second reception step, selection of a set layout for each stowage layer is accepted from the plurality of layout plans. In a stowage pattern creation step, a three-dimensional stowage pattern of the workpieces is created by combining the set layouts selected for each layer.

The invention relates to a local polarization enhanced nonlinear ionization nanometer inscribing system and method, and belongs to the technical field of femtosecond laser processing. The nanometer inscribing method has the large-area machining capacity, a large-area nanometer hole array can be machined in a material in a flying dotting mode, and the distance between adjacent points in the nanometer hole array can be controlled by controlling the speed of a high-precision displacement table and the repetition frequency of femtosecond laser pulses; the size of the nanopore can be controlled by controlling the pulse energy; the characteristic line width of the nanowire can be controlled by controlling the pulse energy and the speed of the high-precision displacement table; patterns are designed, and a high-precision displacement table is introduced, so that patterning processing of nanowires can be realized.

The invention discloses an authentication encryption method, verification decryption method, system and device based on block cipher, and the authentication encryption method comprises the steps: determining a block cipher and a secret key which are used by a bottom layer, selecting an initial vector which is not used in encryption under the current secret key, taking the triad of the initial vector, the associated data and the plaintext as the input of an authentication encryption algorithm; the encryption part encrypts the masked plaintext by using a codebook mode to obtain a ciphertext; the authentication part processes the masked associated data by using a PMAC mode to obtain an authentication intermediate value, performs exclusive or on plaintext groups and encrypts the plaintext groups by using a block cipher, and performs exclusive or on the authentication intermediate value and a result encrypted by using the block cipher to generate an authentication label; and sending the initial vector, the associated data, the ciphertext and the authentication tag as a ciphertext message to a receiving end or storing the ciphertext message for decryption. According to the method, the confidentiality and integrity of data can be protected under quantum computing, and the computing efficiency can be improved through parallel computing.

Matrix multiplication operations can be implemented, at least in part, on one or more tensor cores of a parallel processing unit. An efficiency of the matrix multiplication operations can be improved in cases where one of the input operands or the output operand of the matrix multiplication operation is a square matrix having a triangular data pattern. In such cases, the number of computations performed by the tensor cores of the parallel processing unit can be reduced by dropping computations and / or masking out elements of the square matrix input operand on one side of the main diagonal of the square matrix. In other cases where the output operand exhibits the triangular data pattern, computations can be dropped or masked out for the invalid side of the main diagonal of the square matrix. In an embodiment, a library implementing the matrix multiplication operations is provided.

The utility model relates to a conveying linkage mechanism which comprises a working table, a conveying disc, a conveying driver, a rotating carrier, a transmission assembly, a driving assembly and a butt joint assembly, the conveying disc is rotatably arranged on the working table, the conveying driver is fixedly connected with the working table, the conveying disc is in transmission connection with the conveying driver, the rotating carrier is rotatably arranged on the conveying disc, and the driving assembly is fixedly connected with the rotating carrier. The transmission assembly is connected with the rotary carrier and comprises a transmission gear, the driving assembly is arranged on the workbench in a sliding mode through the butt joint assembly and comprises a driving gear, and in the CD grain machining process, the driving gear is driven by the butt joint assembly to move towards the conveying disc, and the driving gear is meshed with the transmission gear so as to drive the rotary carrier to rotate. According to the utility model, the workpiece can be fixed and conveyed, the workpiece can be driven to rotate at a high speed in the machining process, and contribution is made to the design of a full-automatic CD grain machining device.