124 results about "Pattern selection" patented technology

The invention provides a radar anti-interference strategy generation method based on reinforcement learning by introducing a reinforcement learning technology into a radar anti-interference strategy generation problem on the basis that a radar anti-interference decision generation process has an obvious Markov decision property. And an optimization solution process generated by the radar anti-interference strategy is converted into an optimization solution process of reinforcement learning. According to the invention, reinforcement learning is introduced, and mechanisms such as a dynamic learning rate, action exploration, advantage normalization, reward scaling and hyperbolic tangent activation are combined, so that the radar anti-interference strategy generation method for near-end strategy optimization of asynchronous advantage actors and commentators and normalized scaling tangent based on dynamic learning exploration is provided. According to the method, high-dimensional features of different types of interferences can be accurately extracted in the time-frequency domain, the precision of anti-interference pattern selection and parameter selection and the environmental adaptability are improved, and thus the anti-interference capability and the information acquisition capability of the radar are improved.

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.

A method of deriving a Decoder-side Intra Mode Derivation (DIMD) predictor for respective samples of a coding unit (CU) of a picture, includes: splitting a template area adjacent to the CU into a plurality of template area regions; separately selecting no, one or more Intra Prediction Modes (IPMs) in each template area region, wherein the selection involves a selection out of the separately determined IPMs for the entire CU or for one or more regions of the CU; determining blending weights using the selected IPMs, and generating the DIMD predictor by blending at least the selected IPMs using the determined blending weights.

An apparatus configured to select a predetermined intra prediction mode out of a plurality of intra-prediction modes which includes a first set of intra-prediction modes and a second set of matrix-based intra-prediction modes. The apparatus is configured to select a subset of one or more secondary transforms dependent on the predetermined intra prediction mode so that the subset is nonempty in case of the predetermined intra prediction mode being contained in the first set of intra-prediction modes or in the second set of matrix-based intra-prediction modes. The apparatus is configured to derive a transformed version of a prediction residual for a predetermined block, which is related to a spatial domain version of the prediction residual of the predetermined block via a transform defined by a concatenation of a primary transform and a predetermined secondary transform out of the subset of secondary transforms.

To provide a management method and management system capable of improving operability of selection of a work item and setting of work information.SOLUTION: A management method for managing a combine 2 capable of performing automatic traveling includes: before starting the automatic traveling, displaying a work route information setting screen for setting work route information on a work route on which the combine 2 is to perform the automatic traveling, on a display unit 13 of a management terminal 3; as the work route information setting screen, displaying a route pattern selection screen 220 for selecting a route pattern of the work route in the combine 2 performing automatic reaping traveling, on the display unit 13; displaying a route pattern selection column 221 on the route pattern selection screen 220; and, in the route pattern selection column 221, displaying, as a route pattern of a work route for the automatic reaping traveling, options of reciprocating reaping and round reaping so as to be capable of being selectively operated.SELECTED DRAWING: Figure 1

The invention discloses an abnormal event identification method and device based on a multi-modal large model and a storage medium, and belongs to the technical field of artificial intelligence, and the method comprises the steps: constructing a governance event library and various prompt templates corresponding to a city governance scene; the method comprises the following steps: acquiring a to-be-processed city scene image and mode selection information in a city governance process; generating a target prompt word according to the mode selection information, the governance event library and the prompt template; and event identification of the city scene image is performed according to the target prompt word and the multi-modal large model, so that abnormal problems occurring in the city governance process can be rapidly and accurately identified, the phenomena of false detection and missing detection are avoided, the method is suitable for various city governance scenes, model training and comparison image library setting are not needed, and the efficiency is improved. The method has good generalization ability.

Systems, methods, apparatuses, and computer program products for wakeup signal pattern selection for receiver devices. A method may include transmitting an indication of one or more wakeup receiver capabilities to a network element. The method may also include receiving an activated wakeup signal pattern from the network element selected from one or more wakeup signal patterns. In addition, the method may include activating the one or more wakeup receiver capabilities at the wakeup receiver based on the activated wakeup signal pattern.

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.

The invention discloses an active phased array system radar cognitive interference signal generation method, a medium and equipment, and relates to the technical field of radar electronic countermeasures, and the active phased array system radar cognitive interference signal generation method mainly comprises the steps: constructing a radar electronic countermeasure simulation model, obtaining a signal style state conversion table by using a TOPSIS sorting algorithm and the minimum interference-to-signal ratio data table; according to the radar electronic countermeasure simulation model, obtaining an interference pattern selection model by using the signal pattern state conversion table and a DDQN network; and performing optimal interference pattern decision by using the interference pattern selection model. By implementing the active phased array system radar cognitive interference signal generation method, the medium and the equipment provided by the invention, the accuracy and applicability of radar interference decision can be improved.

The invention provides a digital signal processing platform based on an FPGA, and relates to the technical field of aviation airborne computers, the digital signal processing platform comprises an analog circuit control module, a frequency channel acquisition module and a mode identification and initialization unit, the analog circuit control module and the frequency channel acquisition module are respectively connected with the mode identification and initialization unit; the mode identification and initialization unit is connected with an external input signal and is used for identifying the external input signal and initializing a platform, the external input signal comprises a platform mode selection signal, and the mode identification and initialization unit is respectively connected with an external parallel bus interface and an external serial bus interface; the mode recognition and initialization unit is further connected with the parallel bus interface and the serial bus interface through the serial-parallel protocol conversion control module. According to the invention, mode conversion can be realized according to the operation state of the airborne system so as to adapt to data conversion and data transmission requirements of the airborne aviation electromechanical system at different positions or at different moments.

The invention provides a method and a system for converting a natural language into an SQL (Structured Query Language) statement and electronic equipment, which are characterized in that difficulty level prediction and adaptive database mode prediction are respectively carried out on question information to obtain difficulty classification corresponding to the question information and a matched database mode; and according to the difficulty classification and the database mode corresponding to the problem information, inputting the problem information and the database mode corresponding to the problem information into the multi-agent system to obtain an SQL statement conversion result output by the multi-agent system. According to the method and the system disclosed by the invention, the problem information is classified through the mode selector, then the problem category of the problem information is input into the multi-agent system, and accurate conversion from a natural language to an SQL statement is realized by utilizing cooperation among multiple agents in the multi-agent system; the execution accuracy of the conversion task is improved, and the application cost is reduced.

A method, apparatus, and computer program product provide for management of history-based motion vector prediction (HMVP) processes for Gradual Decoding Refresh (GDR) pictures, as well as efficient implementations of mode selection within a GDR period and tuning of coding tools such as in-loop filters and Luma Mapping with Chroma Scaling (LMCS) such that current coding units within a clean area avoid use of coding information within a dirty area of a picture. In the context of a method, the method accesses a current coding unit of a picture. The method also accesses information associated with coding unit references each associated with a respective inter-coded coding unit. The method also determines at least one candidate coding unit reference based at least upon a comparison of an associated index value to a dirty index, and assigns at least one coding unit to a candidate list for selection in a coding process.

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

1. Name of the Design Product: Graphical User Interface for Controlling Numerical Control Machine Tools of Electronic Devices. 2. Use of the Design Product: Display information and run programs. 3. Design Key Points of the Design Product: Lie in the graphical user interface in the electronic device. 4. Picture or Photograph Best Showing the Design Key Points: Front View. 5. Use of the Graphical User Interface: Display the numerical control machine tool operation interface. 6. Human-Machine Interaction Method of the Graphical User Interface: The front view is the login interface. After entering the user name and password and clicking "Login", it enters the variant state diagram 1; clicking "Load File F1" enters the variant state diagram 2; clicking "Program View F2" enters the variant state diagram 3; clicking "Start Option" enters the variant state diagram 4; clicking "Tool Selection" enters the variant state diagram 5; clicking "Pattern Selection" enters the variant state diagram 6; clicking "Free Box Selection" enters the variant state diagram 7; clicking "Program Zero Point" enters the variant state diagram 8; clicking "Upper PIN" enters the variant state diagram 9; clicking "Settings" enters the variant state diagram 10; clicking "Forming Analysis" enters the variant state diagram 11; clicking "Errors and Warnings" enters the variant state diagram 12; clicking "System Diagnosis F3" enters the variant state diagram 13; clicking "Input" enters the variant state diagram 14; clicking "Output" enters the variant state diagram 15; clicking "Tool Management F11" enters the variant state diagram 16; clicking "Parameters" enters the variant state diagram 17; clicking "Dynamic Parameters" enters the variant state diagram 18; clicking "Tolerance" enters the variant state diagram 19; clicking "Tool Measurement" enters the variant state diagram 20; clicking "Broken Tool" enters the variant state diagram 21; clicking "Diameter Table" enters the variant state diagram 22; clicking "Index Table" enters the variant state diagram 23; clicking "Tool Length Calibration" enters the variant state diagram 24; clicking "Tool Diameter Calibration" enters the variant state diagram 25; clicking "Job Interface F5" enters the variant state diagram 26; clicking "Custom Function" enters the variant state diagram 27; clicking "Incremental Key" enters the variant state diagram 28; clicking "Z Plane" enters the variant state diagram 29; clicking "Processing Status" enters the variant state diagram 30; clicking "Mark" enters the variant state diagram 31; clicking "User Mark" enters the variant state diagram 32; clicking "Shift" enters the variant state diagram 33.

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.

The invention relates to the technical field of data analysis, in particular to an RIS mode selection method based on a grey correlation clustering method. The method comprises the following steps: S1, acquiring communication data of a user by a base station, and dividing the communication data of the user into two types of data: continuously valued numerical data and discretely valued type data; s2, establishing a gray possibility degree mapping matrix for the type data of discrete values, and directly mapping discrete variables to final pattern classification; s3, establishing a gray possibility degree function for the numerical value class data with continuous values, firstly mapping continuous variables to connotation classification, and then mapping the continuous variables to final pattern classification; s4, setting weights, and performing overall statistics on prediction scores of various modes through the weights; and S5, selecting an optimal decision for the RIS mode according to the sorting of the prediction scores. According to the method, the calculation complexity is reduced while accurate capturing of the user data is guaranteed, and the method can be more suitable for real-time application under a large model.

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.

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 the result of the pattern game; special game state control means capable of performing control to a special game state on the basis of the fact that the 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 a special result. The game state control means can perform control to any game state out of multiple game states at least including a normal game state and a specific game state.SELECTED DRAWING: Figure 264