12results about How to "Clear direction" patented technology

Embodiments of the present application provide a method for obtaining user residence ratio, which comprises: generating a residence ratio list based on basic information; calculating SA residence duration of SA cells; generating a user list corresponding to each cell and a cell list corresponding to each user according to residence information of 5G SA users in each cell; calculating LTE residence duration of SA cells; and comprehensively calculating cell-level residence ratio of 5G and 4G cells. Through signaling segmentation technology, the jumping information of users between 4 / 5G networks is simulated to form the trajectory of the movement of the users jumping between 4 / 5G networks. Cell-level user residence ratio can be calculated, and the cell-level user residence ratio has more definite directionality and accuracy, which can more effectively guide network optimization engineers to perform accurate optimization.

The invention discloses a modal shape and frequency identification method for a motor stator system with an inner gear ring, and the method comprises the steps: building a shell unit and beam unit mixed analysis model of the motor stator system provided with the inner gear ring, and obtaining a total stiffness matrix and a total mass matrix under a local rectangular coordinate system through a matrix displacement method, obtaining a structural stiffness matrix and a structural mass matrix under the overall cylindrical coordinate system by using coordinate transformation; and establishing a discrete free vibration model, inputting the structural stiffness matrix and the structural mass matrix into the model, and outputting modal shapes of different orders and corresponding inherent frequencies of the motor stator system, thereby completing identification. The method comprehensively considers the influence of the stator teeth and the tooth part of the inner gear ring, helps to rapidly identify the modal shape and inherent frequency of the stator system, provides guidance for subsequent vibration acquisition and optimization, and has the advantages of simple modeling, rapid identification and high precision.

The application discloses a kind of crisp leisure food with immersion coating malt dextrin device control system, it is related to food processing technical field, it is applied to immersion coating malt dextrin device.The control system includes state acquisition unit, stage control unit, lock determination unit, result output unit and parameter backwrite unit;Stage control unit controls the material to be processed to successively experience surface layer hole calling section, internal introduction section, even seepage sweeping section, edge moat section, directional side leakage section, low-energy backfill section and front solidification section, so that malt dextrin forms continuous support precursor in material interior;Lock determination unit takes ring moat state as main criterion, takes boundary state and internal support state as verification criterion, after low-energy backfill, when ring moat is not connected again bright, material edge is not sustained bright, and material pressure rebound state is not returned, it is judged that internal support skeleton lock establishment state is established;Parameter backwrite unit writes corresponding control parameters when not locked in.The system is suitable for the processing of raw materials not easy to directly make crisp chips.

This invention relates to the field of metrology calibration, and more particularly to an adaptive calibration method, apparatus, device, and storage medium for a metrology box. The method includes the following steps: powering on the metrology box normally, performing self-operating noise detection, and constructing a self-operating noise feature set; performing initial calibration and real-time metrological detection on the metrology box based on the self-operating noise feature set, outputting multiple metrological data sequences; performing sequence-by-sequence feature analysis and differential calculation of adjacent time periods based on the multiple metrological data sequences to obtain a feature difference value sequence; synchronously acquiring environmental monitoring parameters of the metrology box; tracing environmental interference sources based on the environmental monitoring parameters and marking interference sources; performing offset calibration based on the interference sources to obtain offset calibration reference parameters; and performing real-time operating condition metrological detection based on the offset calibration reference parameters. This invention achieves accurate and efficient metrology box detection and calibration.

This invention provides a method and system for timely return of key perception results within a short-term safety window for merging blind spots on urban elevated ramps. The method includes: acquiring local observation information of a target vehicle; mapping the local observation information to an information set belonging to the target vehicle and selecting joint actions on the information set; calculating the collaborative perception performance benefit, total energy consumption, and total latency of the target vehicle based on the joint actions of multiple vehicles; calculating the counterfactual value corresponding to the target vehicle selecting other candidate actions on the current information set based on comprehensive real-time utility, obtaining the real-time regret for each candidate action; updating the action selection probability on the information set, and outputting the average strategy for each information set after reaching a preset stopping condition; and online invoking joint actions in subsequent time slots based on the average strategy to control the timely return rate of key collaborative perception results within the safety decision window. This invention improves the timely return rate of key perception results within the safety decision window.

The application belongs to the technical field of image processing, and particularly relates to a numerical control machine tool cutter wear recognition method and system based on image processing, comprising the following steps: acquiring a cutting edge image of a cutter to be recognized, and inputting the cutting edge image into a pre-trained boundary perception refinement network; the boundary perception refinement network extracts a multi-scale feature map through an encoder, and utilizes an initial prediction module to generate a global probabilistic initial wear area mask and an initial boundary direction field in parallel according to the highest layer semantic features output by the encoder; and a semantic guided multi-scale directional boundary feature map and a boundary clear wear area mask are generated according to the probabilistic initial wear area mask and the initial boundary direction field. The application has good stability to illumination changes, oil stain interference and geometric deformation of wear morphology in the cutting edge image, and improves the reliability of cutter wear recognition.

The application relates to a turbocharging auxiliary dust collection method for a machining center, which comprises the following steps: S1, providing a turbocharging auxiliary dust collection device; S2, when cutting is carried out, the main shaft of the machining center drives the rotation of a turbine body, and a negative pressure airflow is formed in the circumferential direction of the turbine body through a first groove and a fluid channel during the rotation; S3, the dust generated in the machining area of the machining center and the airflow first enter an air inlet area through a separator cover, and are guided and dispersed by guide ribs and turbulence ribs arranged in the circumferential direction of the separator cover before entering the first groove; S4, the airflow and the dust carried by the airflow after being adjusted by the guide ribs and the turbulence ribs enter the first groove and are distributed to each fluid channel, and the airflow is accelerated in the fluid channel through a converging flow channel structure; and S5, the airflow carrying the dust and the chips is sprayed to the outside space of the turbine body at an angle of 30 DEG to 55 DEG relative to the rotation axis when leaving the fluid channel through the acceleration of the airflow.

The invention relates to the technical field of artificial intelligence, and discloses a crystal structure screening method and system, a terminal and a storage medium. The method comprises the following steps: generating a plurality of first candidate crystal structures through a crystal structure generation model according to input target crystal property parameters; performing physicochemical property prediction on the plurality of first candidate crystal structures to obtain a plurality of candidate crystal property parameters; screening out a second candidate crystal structure meeting a preset condition from the plurality of first candidate crystal structures according to the difference between the plurality of candidate crystal property parameters and the target crystal property parameter; and taking the second candidate crystal structure and the target crystal property parameters as training data, updating model parameters of the crystal structure generation model, repeatedly executing the generation, prediction and screening steps, and carrying out iterative optimization until a preset termination condition is met, thereby obtaining a plurality of target crystal structures. According to the method, the candidate structure related to the target property can be automatically generated, and the design efficiency is improved.

This invention relates to the field of light source technology, and discloses an optical inspection system integrating multi-angle prism coupling and beam splitting fusion. The system includes: a housing with an installation space and a detection space within it, and a detection port communicating with the detection space on the housing; a camera fixedly connected to the installation space; a semi-transparent, semi-reflective lens disposed below the detection space; a point light source assembly disposed within the detection space, below the semi-transparent, semi-reflective lens; and a first prism and a second prism disposed above the semi-transparent, semi-reflective lens, which are tilted at 45° to the upper side of the detection space in a horizontal projection. A detection method is also provided. This invention achieves multi-field synchronous imaging of the bottom and two sides of a workpiece using a single camera and a single exposure. The three optical paths are independent and do not interfere with each other after precise optical path calibration.

The invention provides a cross-modal image-text retrieval method based on inter-modal information interaction, which comprises the following steps: respectively carrying out feature extraction on text data and image data, and carrying out local feature context enhancement processing based on a self-attention mechanism on the extracted features; carrying out key local feature sparse screening processing based on global features on the enhanced text features and image features, carrying out cross-modal attention interaction processing on the screened key features, and carrying out feature fusion on the key features and the features after cross-modal attention interaction processing; and carrying out feature aggregation and standardization on the fused features, and carrying out comparative learning training and retrieval matching based on the standardized features. According to the method, redundant interaction is avoided through key feature screening, image-text semantics are accurately fused by using cross-modal attention, original modal information is adaptively reserved in combination with a gating mechanism, the retrieval precision and robustness are remarkably improved, meanwhile, the calculation overhead is reduced, and the modal gap problem is effectively solved.

The invention discloses a page resource loading method and device based on teaching equipment and electronic equipment, and relates to the technical field of education, and the method comprises the steps: obtaining multi-dimensional interaction behavior data of a user in a target display interface; predicting an operation behavior of the user in the target display interface according to the multi-dimensional interaction behavior data, and generating operation probability distribution data of the user on a plurality of areas in the target display interface; determining a target area meeting a preprocessing condition from the plurality of areas based on the operation probability distribution data, and carrying out resource loading and execution on at least one code block corresponding to the target area; and in response to an operation instruction of a user on the target area, rendering an execution result of the at least one code block so as to respond to the operation instruction. According to the method, the target area meeting the preprocessing condition is determined from the multiple areas, resource loading and execution are carried out on the at least one code block corresponding to the target area, the response speed of user operation is increased, and smooth course teaching is guaranteed.

This invention discloses a large-scale model-based answer analysis and management method and system, relating to the field of answer analysis technology. The large-scale model-based answer analysis and management system includes an answer analysis module and an answer review module. This invention constructs an answer-based spoken language mapping knowledge graph and combines it with the semantic role labeling capabilities of the large-scale model to achieve a mapping from surface text to deep semantic structures. This effectively solves the problems of non-standard and colloquial expressions in subjective answers, improving the system's understanding and tolerance for non-standard expressions. By introducing construction logic deduction paths from the expert question bank, non-standard answer words are decoupled into implicit practical action features and expected process purpose features. Similarity comparison is then performed based on engineering utility, elevating the judgment of answer results from keyword matching to engineering logic consistency judgment, significantly improving the professionalism and credibility of the judgment results.