73 results about "Pattern selection" patented technology

The invention relates to the technical field of artificial intelligence, in particular to an automatic deep thinking model selection training method for a large language model. Comprising the following steps: expanding a word segmentation device vocabulary, and adding a special mark lt; carrying out think gt; and lt; / (ginkgt); the identification module is used for identifying a content structure of the deep thinking mode; a dialogue template is designed, input and output formats of a common mode and a deep thinking mode are distinguished, and the deep thinking mode comprises lt; carrying out think gt; marking a guided reasoning process; a common mode training data set and a deep thinking mode training data set with the same scale are constructed, and joint training is performed on the model, so that the model has response capabilities of the two modes at the same time. The method comprises the following steps: adding a special mark (lt; carrying out think gt; and lt; / (ginkgt); and a dialogue template is customized, semantic distinguishing between a common mode and a deep thinking mode is achieved, and the model can accurately switch response strategies according to requirements.

The invention discloses a big language model Cypher generation method and system fusing graph mode selection and reinforcement learning, and belongs to the technical field of graph databases and big models. The method comprises the following steps: firstly, constructing training data, carrying out reinforcement learning training fused with graph mode selection on a large model, selecting a sub-graph mode related to a problem from a graph database mode, and verifying the sub-graph mode; and then, taking the selected sub-graph mode as a core context, and carrying out Cypher query generation. The large model is trained through a specially-designed reinforcement learning normal form, a selection strategy of a graph mode can be learned and optimized, and a selection result is recursively used for guiding and correcting a Cypher generation process. According to the method, a graph mode selection process is used as a key reasoning step and is seamlessly integrated into a Cypher generation process, so that the focusing capability and reasoning capability of the model when facing a complex and huge graph mode are remarkably improved, and the accuracy and practicability of Cypher query are greatly improved.

To provide a selection support method and a selection support device of a jack pattern that can present an adequate jack pattern in short time.SOLUTION: A selection support method of a jack pattern is the method that supports selection of the jack pattern regulating an operational state of each jack on multiple jacks provided for propelling a shield excavator in an excavation direction. The selection support method outputs the jack pattern that makes a position difference between the power point of the propelling resultant force and a recommended power point set in advance smaller on the basis of a contribution degree of each jack relative to a power point of propelling resultant force of the jacks.SELECTED DRAWING: Figure 3

Disclosed are techniques for wireless sensing. In some aspects, a sensing node may transmit a first set of one or more sensing reference signals over a first set of transmit beams during a first stage of a sensing session. The sensing node may transmit a second set of one or more sensing reference signals over a second set of transmit beams during a second stage of the sensing session based on a plurality of criteria, wherein the plurality of criteria is based on one or more measurements of one or more sensing targets obtained by beamsweeping the first set of transmit beams, and wherein beamwidths of the second set of transmit beams are narrower than beamwidths of the first set of transmit beams.

A card controller (22) observes the access history of accessing an SD card (20) by a host device (10). The card controller (22) uses a pattern selector (41) to determine which of a plurality of patterns the observed access history corresponds to. The card controller (22) reads, from a register (31a), a control parameter associated with the determined pattern. The card controller (22) controls writing to and reading from a NAND flash memory (23) in accordance with the control parameter read from the register (31a). The access history includes at least a data size and an address.

The application provides a kind of pipelined data labeling method, to solve the problem of low efficiency in prior art for complex labeling task labeling. A kind of pipelined data labeling method, comprising: S100, obtaining data to be labeled, and determining labeling scheme;S200, the overall labeling task in labeling scheme is split into several labeling subtasks;S300, for each labeling subtask, according to the preset labeling mode, select into the preset labeling mode;S400, AI pre-audit is carried out to the pre-labeling result data circulated to AI pre-audit step;S500, the data that passes the audit in all labeling subtasks is merged to form the final labeling result and output. The application can significantly reduce the complexity of the overall labeling task by decomposing the overall labeling task into several labeling subtasks, so that it is converted into a simple labeling subtask, which is convenient for artificial and AI learning and identification, and can improve the efficiency and quality of data labeling.

The application provides a photoresist model calibration optimization pattern selection method, device, system and medium, the method comprises the following steps: obtaining a plurality of initial optimization patterns; Fourier transform is carried out to a plurality of initial optimization patterns to obtain the frequency spectrum corresponding to each initial optimization pattern respectively; the number of repetitions of the frequency spectrum corresponding to each initial optimization pattern and other frequency spectrums is detected, and each initial optimization pattern is sorted according to the number of repetitions from large to small; the feature size of each initial optimization pattern is sorted; the pattern of the first preset ranking, the pattern of the second preset ranking and the pattern with the smallest feature size in each initial optimization pattern are selected as the final optimization pattern. Therefore, the optimization pattern selection method based on the frequency spectrum repetition amount can avoid the phenomenon that the pattern selection is relatively blind in the experience-based selection method, reduces the pattern selection difficulty and time cost, and improves the model calibration accuracy.

1. Name of the product in this design: Graphical User Interface for Selecting Dimming Modes of Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are the graphical user interface content on the screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. If the product design is not involved, the rear view is omitted; if the product design is not involved, the top view is omitted; if the product design is not involved, the bottom view is omitted; if the product design is not involved, the left view is omitted; if the product design is not involved, the right view is omitted. 6. Purpose of the graphical user interface: The graphical user interface is used to display the management, control and operation of livestock lighting equipment. 7. Human-computer interaction methods of the graphical user interface: Click the "Auto" option in the top menu bar of the main view to enter interface state diagram 1; click the "Settings" option in the lower right corner of interface state diagram 1 to enter interface state diagram 2; click the "Next Page" option at the bottom of interface state diagram 2 to enter interface state diagram 3; click the "Single Path" option in the top menu bar of interface state diagram 3 to enter interface state diagram 4; click the "Settings" option in the lower right corner of interface state diagram 4 to enter interface state diagram 5; click the "Next Page" option at the bottom of interface state diagram 5 to enter... Interface change state diagram 6; Click the "Environmental Control" option in the top menu bar of Interface Change State Diagram 6 to enter Interface Change State Diagram 7; Click the "Language" option at the top of Interface Change State Diagram 7 to enter Interface Change State Diagram 8; Enter the password on the numeric keypad interface in Interface Change State Diagram 8 and click "OK" to enter Interface Change State Diagram 9; Click the "English" option in Interface Change State Diagram 9 to enter Interface Change State Diagram 10; The interface and interactive operations of Interface Change State Diagrams 10 to 19 correspond to the same interface and interactive operations of the main view - Interface Change State Diagram 9.

The present application relates to the technical field of communications, and particularly relates to a secure communication method, and an apparatus, which aim to realize secure communication without increasing additional power and resource overheads. The method comprises: a first communication apparatus encoding N data blocks on the basis of an encoding matrix, so as to obtain N encoded data blocks, wherein N is an integer greater than or equal to 2; for an i-th encoded data block among the N encoded data blocks, on the basis of a spatial pattern selection parameter corresponding to the i-th encoded data block, determining, from among K spatial patterns corresponding to a RIS, a target spatial pattern corresponding to the i-th encoded data block, wherein i is 1, 2, ..., N, and K is an integer greater than or equal to 2; and sending the i-th encoded data block to a second communication apparatus by means of the target spatial pattern corresponding to the i-th encoded data block.

The invention discloses a contract auditing system capable of automatically matching an auditing mode. And the analysis and extraction module is used for carrying out structured analysis and feature extraction on the contract related data to obtain the hierarchy and topological relation among terms in the contract template, the semantic vector representation of the terms of the contract to be examined, the difference item between the contract to be examined and the contract template, and the examination rule base. And the applicable strength calculation module calculates the applicable strength of each review rule on each term of the contract to be reviewed according to the template matching degree, the difference saliency and the context correlation degree. And the review mode selection module selects a corresponding review mode for each term of the contract to be reviewed according to the applicable strength of each review rule for each term of the contract to be reviewed. According to the method, the corresponding review mode is automatically selected for the combination of each term and each review rule of the contract to be reviewed. The refined review mode significantly improves the accuracy of the contract review result.

A rehabilitation planning apparatus, a rehabilitation planning system, a rehabilitation planning method, and a program capable of efficiently creating a rehabilitation plan are provided. A rehabilitation planning apparatus (1) includes a rehabilitation pattern selection unit (2), an ability value prediction unit (3) that predicts a physical ability value after a target patient performs rehabilitation indicated in a selected rehabilitation pattern, a repetition control unit (4) that performs control so that the selection by the rehabilitation pattern selection unit (2) and the prediction by the ability value prediction unit (3) are repeated, and a determination unit (5) that determines a rehabilitation pattern for, among combinations of rehabilitation patterns and physical ability values obtained through the repetition of the selection and the prediction, a combination of which the physical ability value satisfies a predetermined condition as a rehabilitation plan for the target patient.

The application discloses a kind of baseline solution parameter adjustment method and device, the method includes by obtaining from the observation data of baseline to be solved obtaining baseline length, according to baseline length selects baseline frequency point combination, according to baseline frequency point combination obtains corresponding baseline available ephemeris quantity, then according to baseline available ephemeris quantity determines baseline solution mode, obtains baseline observation time length by baseline solution mode, and determines sampling interval according to baseline observation time length, and then sampling interval and baseline solution mode are integrated into the solution parameter adjustment scheme of baseline to be solved and are output.The baseline solution parameter adjustment method disclosed in the application selects the solution mode more suitable for solving the baseline by the observation data of baseline to be solved, improves the accuracy of baseline solution result;According to the determined baseline solution mode, corresponding sampling interval is selected, and the baseline solution efficiency is improved.

A system and method are disclosed for managing integration patterns among a plurality of nodes in a networked environment. Each node is assigned a unique identifier, and integration patterns defining relationships between two or more nodes are represented as vectors comprising node identifiers and additional attributes such as protocol, security context, or dependencies. The vectors are validated using predefined logic and are indexed and stored within a multi-dimensional matrix according to their defining attributes. The system maintains metadata for each vector, including integration dependencies, approval status, and versioning. A graphical user interface presents the matrix as an interactive grid, enabling users to filter, select, and analyze integration patterns based on node attributes or pattern characteristics. The techniques disclosed support dynamic updates, automated governance, and compliance workflows, thereby streamlining the design, validation, and management of integration scenarios across complex computing environments.

The invention provides a method, device, equipment and medium for achieving concave envelope line frame walking in the plate cutting process, and belongs to the technical field of laser machining. The method comprises the steps that a to-be-machined graph selection instruction of a user is responded, and contour data of a graph selected by the user is obtained; on the basis of contour data of the selected graph, a CAM processing tool in a laser cutting numerical control system is called for contour merging and external expansion calculation, and a closed polyline which is close to all the graphs to be machined along a preset external expansion interval and allows to have inward concave sections is generated and serves as a concave envelope line; the concave envelope line is converted into frame walking track data which can be executed in a laser cutting numerical control system; and calling and executing the frame walking track data through the laser cutting control system, driving the laser cutting head to move along the concave envelope line path, and starting the indication red light to simulate the frame walking path. The frame is arranged through the concave envelope lines, the plate utilization rate is increased, material waste is reduced, and the machining efficiency and reliability are improved.

A system and a method of pattern selection are provided for use by an electronic design automation (EDA) automatic test pattern generator (ATPG) for improved intermediate resistance (IR) drop analysis. The method includes identifying, for each of a plurality of transitional delay fault (TDF) patterns, flip-flops (FFs) toggling during a capture window; identifying coordinates on a grid for each of the toggled FFs; generating a boundary around the toggled FFs; generating tiles within the boundary; determining a number of toggled FFs included within each of the tiles; and ranking the plurality of TDF patterns based on the number of toggled FFs included within each of the tiles of each of the plurality of TDF patterns.

The present invention relates to a gait recognition method and system based on fine-grained motion pattern selection, belonging to the field of computer vision and biometrics. The present invention proposes for the first time a gait recognition model with simple structure and effective fine-grained motion pattern selection, which can screen out robust point features under various external conditions from a large number of feature points, thereby effectively achieving high-precision gait recognition. The present invention effectively solves the problem of low gait recognition accuracy in existing methods, as well as the problem of insufficient gait feature expression caused by the lack of fine-grained feature extraction and motion pattern selection, and provides a solution with a relatively simple and effective network structure for control in real-world scenarios.

A radio wave reflection system includes an intelligent reflecting surface including a plurality of patch electrodes, an electrode layer, and a liquid crystal layer, and a driver IC electrically connected to the plurality of patch electrodes and including an output signal generating unit and a timing pattern signal generating unit electrically connected to the output signal generating unit. The timing pattern signal generating unit generates a plurality of pattern signals including voltage values corresponding to each of a plurality of predetermined phase values using an address signal indicating a position where the intelligent reflecting surface is to be placed, a power supply voltage, and a pattern selection signal selecting a plurality of parameters including a plurality of predetermined phase values. The output signal generating unit generates a plurality of output signals based on each of the plurality of pattern signals using the plurality of pattern signals.

The application provides a metal mask and a pattern selection method, device and storage medium thereof. The pattern selection method comprises: processing n different transition region images to obtain corresponding n groups of pattern design parameters for representing the pattern distribution state of the transition region; determining minimum equivalent regions based on the n groups of pattern design parameters, performing mechanical simulation on each minimum equivalent region by using a finite element algorithm to obtain n groups of material properties corresponding to n different metal masks; performing mechanical simulation on the n different metal masks by using the finite element algorithm based on the n groups of material properties to obtain n groups of first deformation variables corresponding to the n different metal masks; determining at least one group of target first deformation variables from the n groups of first deformation variables, and outputting a transition region image corresponding to the target first deformation variable. The computer simulation test method can shorten the product development cycle, reduce the manufacturing cost and improve the research and development efficiency.

Methods and systems for managing data collection are disclosed. To manage data collection, a system may include a data aggregator and data collectors. The data aggregator may utilize an inference model to predict the future operation of data collectors, and a pattern selection model to sample data from data collectors at a specific frequency and sequence. The pattern may specify that some data collectors are not to be sampled at various points in time. By doing so, the system may be able to transmit less data, consume less network bandwidth, and consume less energy throughout a distributed system while still providing access to aggregated data.

The embodiment of the invention provides a test pattern selection method and device and a model generation method and device. The test pattern selection method comprises the steps of obtaining a test layout; the test layout comprises at least one candidate test pattern; each candidate test pattern is obtained after screening based on a label and a preset detection frame; the label is used for marking a pattern expected to test the chip, and the preset detection frame is used for providing a detection space so as to screen the pattern with the label; extracting features of each candidate test pattern, and determining categories of the candidate test patterns based on the features of the candidate test patterns; the features are used for describing attributes of the candidate test patterns; and selecting a target test pattern from each type of determined candidate test patterns according to modeling data requirements of the optical proximity correction model. According to the test pattern selection method provided by the embodiment of the invention, the number of the target test patterns can be reduced while the coverage rate is ensured, and the precision of the optical proximity correction model is ensured.

To provide a game machine capable of enhancing interest.SOLUTION: First control means capable of controlling the progress of a game includes: variation pattern selection means for selecting a variation pattern; pattern game execution means capable of executing a pattern game on the basis of a variation pattern selected by the variation pattern selection means; determination means for determining a result of the pattern game; special game state control means capable of performing control to a special game state on the basis that a determination result of the determination means becomes a special result; and game state control means capable of controlling a game state. Second control means capable of controlling a performance executed by performance execution means includes: performance mode selection means for selecting a performance mode of a performance executed when the pattern game is executed; and specific performance execution means capable of executing a specific performance suggesting a possibility of derivation of the special result. The game state control means can perform control to a game state from among multiple game states at least including a normal game state and a specific game state.SELECTED DRAWING: Figure 264

To achieve air conditioning in which deterioration of user's comfort is suppressed.SOLUTION: The air conditioning control unit 103 controls the plurality of indoor units on the basis of the set temperature for the air conditioning target space and the room temperature of the air conditioning target space. The pattern generation unit 104 generates a plurality of operation patterns each including a rotation of an operating indoor unit that is an indoor unit to be operated and a switching cycle of the operating indoor unit, the rotation and the switching cycle being set so that wind hits each of a plurality of users present in the air-conditioned space for an equal time. The pattern selector 105 selects an adoption pattern, which is an operation pattern to be adopted when controlling the plurality of indoor units, from among the plurality of operation patterns, based on a temporal change in room temperature when the air-conditioning controller 103 controls the plurality of indoor units in accordance with each of the plurality of operation patterns generated by the pattern generator 104.SELECTED DRAWING: Figure 4

A method for shot pattern selection when combating targets with an impact system includes estimating the position of the target, estimating the speed of the target, categorizing the type of target, selecting the type of shot pattern, and firing projectiles based on the selected shot pattern. A fire-control system and an impact system are also provided.

A method and apparatus for video encoding and decoding are disclosed. According to the method, for a current second patch encoded in a cross-component linear model related mode, a list of most probable linear model modes is generated, the list comprising one or more most probable linear model candidates selected from a list of candidates. Mode selection information associated with the list of most probable linear model modes is signaled or parsed. And encoding or decoding the current second color block by using a target candidate selected from the most probable linear model mode list according to the mode selection information, and generating prediction data of the current second color block by applying a current linear model related to the target candidate to the current first color block.

The invention discloses a multi-time intelligent positioning cutting printing device and method, and the method comprises the steps: equipment self-inspection, processing mode selection, material adsorption and height adjustment, image collection, contour extraction and cutting path generation, target contour cutting, printing path alignment correction, pattern printing, defect detection and finished product removal. The high-robustness alignment control of material postures and boundaries is realized by adopting multiple rounds of image scanning in combination with an unmarked recognition technology. The device integrates a control system, an adsorption platform, an integrated camera, a lifting device, a cutting device, a UV printing head and a cleaning device, and supports whole-process image acquisition and execution path collaboration. Consistent matching of a cutting path and a pattern path is achieved by fusing Hu moments, curvature features and ICP registration, dynamic printing compensation is conducted in combination with a PID control strategy, and a cutting-printing closed-loop control mechanism is constructed. The image-text alignment precision and the processing automation level are improved, and the method is suitable for a flexible customized production scene.

Disclosed are techniques for wireless sensing. In some aspects, a sensing node may transmit a first set of one or more sensing reference signals over a first set of transmit beams during a first stage of a sensing session. The sensing node may transmit a second set of one or more sensing reference signals over a second set of transmit beams during a second stage of the sensing session based on a plurality of criteria, wherein the plurality of criteria is based on one or more measurements of one or more sensing targets obtained by beamsweeping the first set of transmit beams, and wherein beamwidths of the second set of transmit beams are narrower than beamwidths of the first set of transmit beams.

To provide a game machine capable of enhancing interest.SOLUTION: First control means capable of controlling the progress of a game includes: variation pattern selection means for selecting a variation pattern; pattern game execution means capable of executing a pattern game on the basis of a variation pattern selected by the variation pattern selection means; determination means for determining a result of the pattern game; special game state control means capable of performing control to a special game state on the basis that a determination result of the determination means becomes a special result; and game state control means capable of controlling a game state. Second control means capable of controlling a performance executed by performance execution means includes: performance mode selection means for selecting a performance mode of a performance executed when the pattern game is executed; and specific performance execution means capable of executing a specific performance suggesting a possibility of derivation of the special result. The game state control means can perform control to a game state from among multiple game states at least including a normal game state and a specific game state.SELECTED DRAWING: Figure 264

To provide a game machine capable of enhancing interest.SOLUTION: First control means capable of controlling the progress of a game includes: variation pattern selection means for selecting a variation pattern; pattern game execution means capable of executing a pattern game on the basis of a variation pattern selected by the variation pattern selection means; determination means for determining a result of the pattern game; special game state control means capable of performing control to a special game state on the basis that a determination result of the determination means becomes a special result; and game state control means capable of controlling a game state. Second control means capable of controlling a performance executed by performance execution means includes: performance mode selection means for selecting a performance mode of a performance executed when the pattern game is executed; and specific performance execution means capable of executing a specific performance suggesting a possibility of derivation of the special result. The game state control means can perform control to a game state from among multiple game states at least including a normal game state and a specific game state.SELECTED DRAWING: Figure 264

1. The name of the design product: the dish washer control graphic user interface of electronic equipment. 2. The use of the design product: an electronic equipment. 3. The design points of the design product: in the graphic user interface. 4. The picture or photo that best shows the design points: design 6 front view. 5. Design 6 is designated as the basic design. 6. The use of the graphic user interface: the graphic user interface of each design is used for the control of the dish washer, design 1 is used for dish washing, design 2 is used for fruit and vegetable washing, design 3 is used for seafood washing, design 4 is used for dish washing mode selection, design 5 is used for fruit and vegetable washing mode selection, design 6 is used for shutdown, design 7 is used for wake-up, design 8 is used for dish washing mode selection, design 9 is used for dish washing, and design 10 is used for selecting fruit and vegetable washing mode. 7. The human-computer interaction mode of the graphic user interface: at the beginning, repeatedly switch between design 1 front view and design 1 interface change state diagram 1; click the right "start / pause" button on design 1 front view or design 1 interface change state diagram 1, both can switch to design 1 interface change state diagram 2, and then automatically switch to design 1 interface change state diagram 3. The interaction mode of design 2 is the same as that of design 1. Click the right "start / pause" button on design 3 front view to switch to design 3 interface change state diagram. At the beginning, repeatedly switch between design 4 front view and design 4 interface change state diagram 1; click the left "dish" button on design 4 front view or design 4 interface change state diagram 1, both can switch to design 4 interface change state diagram 2, and then repeatedly switch between design 4 front view and design 4 interface change state diagram 2. At the beginning, repeatedly switch between design 5 front view and design 5 interface change state diagram 1; click the left "fruit and vegetable" button on design 5 front view or design 5 interface change state diagram 1, both can switch to design 5 interface change state diagram 2, and then repeatedly switch between design 5 front view and design 5 interface change state diagram 2. Click the power button at the lower right corner of the circular pattern in the middle of the interface on design 6 front view to realize the shutdown function. Click the power button at the lower right corner of the circular pattern in the middle of the interface on design 7 front view to realize the interface wake-up function. Click the dish button on design 8 front view to realize the dish washing mode selection function. Click the start / pause button on design 9 front view to realize the dish washing function. Click the fruit and vegetable button on design 10 front view to realize the fruit and vegetable washing mode selection function.

The application relates to a high-precision prediction method for dynamic selection and graph structure adaptive fusion of multi-source weather forecasts for turning weather, relates to the technical field of meteorological information processing and intelligent prediction, and utilizes a graph convolution method to perform information transmission between modes, so that a nonlinear and adaptive fusion mechanism is realized. Through dynamic adjustment of edge weights and optimization of convolution weights, complementary information of different modes is fully utilized, and the prediction precision and local feature capturing capability are improved. Considering prediction uncertainty, historical performance and observation consistency, an interpretable confidence index is formed. For a low-confidence area, mode expansion or edge weight correction is automatically triggered, adaptive optimization of the prediction result is realized, and the robustness and reliability of the system are improved. Multi-source numerical mode output, real-time observation and turning weather characteristics are formed into a unified input system, comprehensive information support is provided for mode selection and fusion, data utilization efficiency is improved, and high-precision prediction can still be realized under complex weather conditions.