36 results about "Pattern type" patented technology

The invention discloses a flexible circuit board production quality monitoring method and system based on data feedback, and the method comprises the steps: collecting the physical parameters of development etching, drilling and copper plating processes, such as line width, line distance, aperture, roundness and copper thickness, and workshop temperature and humidity and dust concentration data; generating a single-variable control chart for a single-process physical parameter, generating a multivariable T2 control chart for a multi-coupling parameter process, and calculating a process stability index and a comprehensive fluctuation index; inputting the abnormal data into a BP neural network, identifying an abnormal mode type and outputting characteristic parameters; generating a parameter correction instruction according to the abnormal mode and the characteristic parameters, and adjusting equipment parameters in real time; recalculating the process capability index based on the adjusted data, and triggering secondary feedback if the process capability index does not reach the standard; and dynamically adjusting the threshold value of the control chart according to the standard deviation and the mean value of the process capability indexes of the continuous batches. Production key parameters are comprehensively covered, abnormity is found in time, accurate and comprehensive detection is achieved, real-time adjustment is achieved, stability and controllability are ensured, and the product quality is improved.

A fingerprint information processing apparatus includes: an output unit that outputs a certainty factor that is an index indicating probability in which fingerprints indicated by a fingerprint image correspond to at least one of a plurality of pattern types, by using the fingerprint image and a learning model constructed by machine learning using learning data including a sample image indicating fingerprints; and a processing unit that performs processing based on the certainty factor.

Systems, methods, and computer program products for generating data according to patterns of missing data. A method for automatically identifying patterns of missing data and generating data accordingly may comprise reading a plurality of values, each associated a subject and a variable; determining a count of missing values for each variable; selecting one or more variables of the plurality of variables based on their respective counts of missing values; identifying a pattern type characterizing a pattern of missing values for each of the one or more selected variables; and generating simulated data for each of the one or more selected variables based on the identified pattern types.

The invention discloses a method for rapidly generating bartack and button sewing patterns, and belongs to the technical field of sewing equipment control. The problems that in the prior art, new patterns need to be generated depending on professional software of professionals, the sewing quality is low, and the attractiveness is not high are solved. The method comprises the following steps: based on four basic track algorithms of a straight seam, a zigzag seam, an arc seam and a round-trip circumferential seam and a combination thereof, generating preset 12 pattern types, namely 18 pattern prototypes; a parameter modification instruction of a user for any pattern prototype is received through the sewing machine operation panel, wherein parameters comprise at least one of the stitch length, the stitch number, the length and the width; and according to the modified parameters, the sewing track is recalculated through an averaging error compensation algorithm, it is ensured that the final drop point is consistent with the actual end point, and an updated pattern is generated. The method has the advantages that parameter modification can be carried out on the operation panel without depending on professionals and professional software so as to produce new patterns, and meanwhile sewing quality and attractiveness are high.

The invention designs a dynamic visual induction marking line based on a flash rate principle and a layout method thereof, which are suitable for a key guide area in front of a guide lane. According to the invention, the area in front of the guide lane line is divided into a visual deceleration area and an R area, and solid line driving behavior guidance is realized through dynamic virtual marking lines. The visual deceleration area adopts white variable-spacing marking lines, the spacing is calculated based on the flashing rate principle, rhythm sensation in the deceleration process is simulated, and a driver is guided to stably decelerate; the R area dynamically adjusts equal-interval marking lines and pattern types according to the risk factor R, and the prompt rhythm is optimized in real time in combination with parameters such as the vehicle speed, the acceleration and the visibility. The marking line is virtually projected through AR equipment and gradually coincides with a real lane line along with approaching of a vehicle, and a virtual-real fusion guiding effect is formed. The method can be extensively applied to ramps, schools, intersections and other scenes needing reinforced guidance, and the traffic safety and the driving compliance are improved.

The application discloses a fabric layout automatic layout and merging method, system, medium and processor, and relates to the technical field of fabric cutting and pattern layout. The method receives a graphic data set and extracts key geometric features, identifies pattern types and matches corresponding layout strategies, realizes automatic close arrangement and position optimization of graphics, and generates a layout set containing coordinates and rotation angles. Then, the common edges of adjacent graphics are automatically identified and merged, and the graphic set is converted into a non-redundant line segment path, which is directly used for cutting. The application effectively reduces material waste and cutting path length, improves cutting efficiency and product quality, is suitable for batch automatic production, and has high practical value.

The invention discloses an audio generation method, system and equipment based on pattern features and cultural semantics. The method comprises the following steps: preprocessing a pattern pattern image to obtain an enhanced image; determining a reading sequence of visual features of semantic units according to the pattern type of the enhanced image; extracting visual features of a plurality of semantic units from the enhanced image according to the reading sequence, and organizing to form a time sequence feature sequence; identifying the enhanced image to obtain a culture identification feature, and extracting an associated multi-dimensional culture feature from the culture semantic map based on the culture identification feature; inputting the time sequence feature sequence and the multi-dimensional cultural features into an audio generation model, and performing weighted adjustment on the time sequence feature sequence according to the multi-dimensional cultural features to obtain a cultural adaptive audio feature sequence; and generating a corresponding audio file according to the audio feature sequence. According to the method, the problems of cultural semantic deficiency, audio-visual disjunction and insufficient information fusion can be solved, and the quality of cultural traits expression and professional creation of audio generation is improved.

The utility model discloses a display device and a household appliance. The display device comprises a light source, a light guide plate and a background layer, the light guide plate and the background layer are arranged in parallel in the first direction, the light source is arranged on one side of the light guide plate in the second direction, the first direction is perpendicular to the second direction, a pattern part is arranged on the light guide plate, the light guide plate is configured to receive light emitted by the light source and reflect the light through the pattern part, and display content of the background layer can be displayed through the light guide plate. According to the display device, after the light source enters the light guide plate, the content of the pattern part can be reflected, and meanwhile, the content of the background layer can be displayed through the light guide plate, so that any pattern can be arranged on the light guide plate, the display device can display the content of the pattern part and the content of the background layer at the same time, and more pattern types can be displayed; meanwhile, the implementation mode is simple, and the implementation cost is low.

Systems and methods for censoring text characters in text-based data are provided. In some embodiments, an artificial intelligence system may be configured to receive text-based data and store the text-based data in a database. The artificial intelligence system may be configured to receive a list of target pattern types identifying sensitive data and receive censorship rules for the target pattern types determining target pattern types requiring censorship. The artificial intelligence system may be configured to assemble a computer-based model related to a received target pattern type in the list of target pattern types. The artificial intelligence system may be configured to use a computer-based model to identify a target data pattern corresponding to the received target pattern type within the text-based data, identify target characters within the target data pattern, and to assign an identification token to the target characters.

The invention provides a cleaning capacity test piece and a cleaning capacity test method, and relates to the technical field of photomask processing. The cleaning capacity test piece comprises a test piece body, the surface of the test piece body is divided into a pattern area, a plurality of first patterns are arranged in the pattern area, the pattern types of the first patterns are the same, and any two first patterns are different in line width and / or length-width ratio. The cleaning capability test piece is applied to photomask cleaning test evaluation, the first patterns with different line widths and / or length-width ratios are designed in the pattern area of the cleaning capability test piece, and the cleaning capability of the same cleaning condition on the first patterns with different line widths and / or different length-width ratios can be obtained through one-time test. And it is determined that the cleaning condition can guarantee the integrity of the first patterns, and the evaluation process of the whole photomask cleaning test is shortened. In addition, a preferable cleaning condition combination of the cleaning capacity and the graph integrity can be quickly found, cleaning is evaluated in time, a window is made through cleaning, and time is saved and efficiency is high.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of a part by three-dimensional surface pattern generation, include: receiving input identifying (i) a pattern type, (ii) a three-dimensional feature to be used to modify a three-dimensional part, and (iii) a surface of the three-dimensional part being designed; generating varied copies of the three-dimensional feature in a three-dimensional space in which the three-dimensional part is defined, wherein an aspect of the three-dimensional feature varies for at least two of the varied copies of the three-dimensional feature in accordance with a function that is applied for the pattern type, and at least a portion of a range of the function is mapped to the three-dimensional space in accordance with the surface; and rendering a visualization of the varied copies of the three-dimensional feature to a display device presenting a user interface.

Systems and methods for censoring text-based data are provided. In some embodiments a censoring system may include at least one processor and at least one non-transitory memory storing application programming interface instructions. The censoring system may be configured to perform operations comprising storing a target pattern type and a computer-based model for identifying a target data pattern corresponding to a target pattern type within text based data. The censoring system may also be configured to receive text-based data by a server, and to retrieve the stored target pattern type to be censored in the text-based data. The censoring system may be configured to identify within the received text-based data, a target data pattern corresponding to the retrieved target pattern type. The censoring system may be configured to censor target characters within the identified target data pattern, and transmit the censored text-based data to a receiving party.

A computer-implemented method for generating anonymized 3D data of a surrounding, the surrounding comprising a multitude of 3D features of a plurality of feature categories, the plurality of feature categories including at least a first feature category, 3D features of which being designated for anonymization, the method comprising providing 3D data of the surrounding, the 3D data comprising 3D patterns, the 3D patterns corresponding to the 3D features in the surrounding, wherein a first pattern type corresponds to the first feature category, the method comprising identifying at least a first portion of the mesh or point cloud that comprises at least a first 3D pattern of the first pattern type, the first portion of the mesh or point cloud corresponding to a first data portion of the 3D data, and obtaining at least one alternative 3D pattern for the first pattern type.

The application relates to the technical field of digital protection of national cultural heritage, and particularly discloses a national pattern dynamic visualization creation conversion digital system, which comprises a pattern resource management module, a dynamic visualization achievement display module, an online lightweight creation module, a work multi-level audit module, a work public display module, a copyright information trace leaving module and an achievement conversion docking module. The system realizes concentrated management and quick search of patterns through three-level search of national pattern types and keywords, supports users in editing patterns online and exporting the patterns, guarantees that works are in compliance through multi-level audit, ensures that copyright can be traced through whole-process trace leaving, and simultaneously builds a bridge for docking between creators and demanders. The application solves the problem of scattered national pattern resources, reduces the creation threshold, promotes public participation, promotes industrialization conversion of national patterns, and has cultural communication and practical values.

Embodiments of the present application disclose an image processing method and device, computer equipment and a storage medium. The image processing method comprises: displaying multimedia data; in response to a requirement of adding a border to the multimedia data, obtaining a target border, the target border being a pattern type border generated according to a pattern of the multimedia data, or the target border being a map type border generated according to a theme of the multimedia data; and adding the target border to the multimedia data. The present application can enrich the way of adding a border to an image and ensure the decoration effect of the border on the image.

The invention provides a large model-based material playing method and a large model training method, and relates to the technical field of intelligent terminals, the method comprises the steps of obtaining a to-be-played material, calling a trained large model to identify target content in the to-be-played material in response to a received annotation instruction for the to-be-played material, and playing the to-be-played material according to the target content. Obtaining a first position and labeling mode information of the target content; determining a pattern type used for identifying the first position based on labeling mode information of target content; generating annotation data corresponding to the target content in the to-be-played material according to the pattern type and the first position; and controlling the terminal equipment to play the to-be-played material including the annotation data. According to the method, the target content included in the to-be-played material identified by the large model is labeled, the labeled data labeled according to the pattern type at the first position is obtained, and the terminal equipment is controlled to play the to-be-played material including the labeled data, so that a user can timely obtain important content in the material played by the terminal equipment.

The present invention discloses a method for constructing a classification and recognition model for minority art works, including: collecting original data, the original data is a minority characteristic pattern, the composition of the characteristic pattern includes: national type, pattern type, work type and color type; the pattern type includes: plant pattern, animal pattern, the work type includes: batik, silver ornaments, embroidery, and the color type includes: red, blue, green; data preprocessing generates a minority characteristic pattern data set; defining a relationship model, including: defining a feature extraction model, a characteristic pattern standard and a label tensor, setting an output mode of a classification and recognition model, selecting a loss function, and associating features with composition; model training the relationship model, and constructing a classification and recognition model. According to the above technical scheme, the classification efficiency and accuracy of minority cultural works can be improved, and it is suitable for accurately identifying and classifying ethnic folk works in complex backgrounds and diverse styles.

The embodiment of the disclosure discloses a picture rendering method, device, equipment, storage medium and program product, the method comprises: processing a picture to be rendered to determine a text region; determining a text target character type based on attribute information of the text region; determining a text target pattern type based on the picture to be rendered; rendering the picture to be rendered based on the text target character type and the text target pattern type. The embodiment of the disclosure determines the text character type based on the obtained text region, determines the text pattern type based on the picture to be rendered, and adds the text in the text region on the picture after rendering the text according to the character type and the pattern type, that is, places the given character and harmonious beauty in the picture, and realizes the rapid rendering of the picture.

This application relates to the field of material management technology in the electronics manufacturing industry, providing a method, production method, and equipment for merging material station lists for multi-pattern surface mount products. For surface mount orders with small quantities and numerous pattern types, in response to a surface mount product query operation, an initial material station list for different pattern types of surface mount products to be produced is obtained. To reduce the changeover process for different pattern types of surface mount products, in response to a merging operation of multiple initial material station lists, materials with the same location column value but different material column values ​​in two material station lists are merged into one material station list. This ensures that the merged material station list guarantees that the placement head accurately picks up materials for multiple pattern types of surface mount products. This enables continuous production of multiple pattern types of surface mount products in one go, effectively reducing changeover times and improving production efficiency. Furthermore, the placement machine's station position is determined based on the movement path of the placement head picking up materials; minimizing the movement path further improves surface mount production efficiency.

The present invention discloses a tree-structured simplified sequence pattern calculation unit data column storage method, which relates to the technical field of data storage, including: standardizing calculation unit data to form source data and inputting it into a column storage engine, wherein each source data corresponds to data of a sampling time point in a calculation unit, generating metadata for identifying the storage location and pattern type of the source data for each source data, and forming a plurality of column structures based on a plurality of source data and corresponding metadata; forming an original pattern tree structure according to all metadata, storing each found potential maximum sequence pattern in an improved prefix tree original pattern tree, and finally obtaining a prefix tree simplified pattern tree composed of maximum sequence patterns by pruning the original pattern tree; the method improves the time efficiency of calculation unit storage.

The present invention relates to the technical field of anti-paper detection, and in particular to a method for detecting the direction of paper based on machine vision, including determining whether the image on the surface of the printed packaging paper is rotationally centrosymmetric; determining the image type of the input image to be printed, and framing and identifying pattern symbols and text; adopting different detection and recognition strategies according to the image type and the type of identified hidden danger; when the image is a single surface image, obtaining a regional detection image and judging its matching degree with the standard point image; when the image contains several identical image regions, extracting pattern symbols and text and calculating their corresponding average similarity to judge the direction state; determining the reason for the inconsistent paper direction according to the type of identified hidden danger and the vision camera, and taking corresponding adjustment measures; when the image is a pure color type, determining the direction of the printed packaging paper according to the contrast color difference when the detection conditions are met. The present invention improves the adaptability of direction detection by adopting corresponding strategies for different pattern types.

The invention discloses a geometric pattern aggregation method based on a Krani graph, and relates to the technical field of image processing. The method comprises the following steps: acquiring the total length of symmetric pattern wave node lines under the central excitation of a piezoelectric vibrator as a reference; the vibrator is adjusted to the edge position, and asymmetrical pattern wave node line parameters are determined; dividing an amplitude area according to wave node line distribution, tracking a sand grain migration track to extract a deviation distance, and optimizing layout by densifying sand grains; comparing the nodal line parameters of the two excitation modes, and quantifying the reduction proportion of the number of the nodal lines of the asymmetric pattern; evaluating a pattern type increase multiple corresponding to the proportion, extracting parameters such as a vibration amplitude peak value and an attenuation gradient, and calculating an energy coverage area percentage; and the total quantity of generated pattern types is determined by integrating multiple indexes, and the position of a vibrator and the layout of sand grains are reversely optimized. According to the invention, the problem of poor pattern precision caused by single center excitation, lack of sand regulation and insufficient energy evaluation in the prior art is solved.

The present disclosure relates to a pattern type recognition method and device, electronic equipment and readable storage medium. The method comprises: obtaining an initial image to be recognized, the initial image comprising a pattern to be recognized; obtaining a feature vector of the pattern to be recognized in the initial image based on a preset pattern vector extraction model; obtaining a similarity between the feature vector and each candidate feature vector in a preset database to obtain at least one target candidate feature vector; and determining a type of the pattern to be recognized according to a pattern type of the at least one target candidate feature vector. In this embodiment, the problem that an existing pattern recognition model needs to be retrained for recognition when the pattern to be recognized is a new type can be solved without retraining the model when the pattern to be recognized is a new type, which is beneficial to improving the use efficiency of pattern type recognition.

Systems and methods for censoring text characters in text-based data are provided. In some embodiments, an artificial intelligence system may be configured to receive text-based data and store the text-based data in a database The artificial intelligence system may be configured to receive a list of target pattern types identifying sensitive data and receive censorship rules for the target pattern types determining target pattern types requiring censorship. The artificial intelligence system may be configured to assemble a computer-based model related to a received target pattern type in the list of target pattern types The artificial intelligence system may be configured to use a computer-based model to identify a target data pattern corresponding to the received target pattern type within the text-based data, identify target characters within the target data pattern, and to assign an identification token to the target characters

The present invention discloses a parasitic capacitance extraction method of a 2.5-D parasitic capacitance of a wiring layer parameterized structure driven by an AI algorithm, which relates to integrated circuit EDA technology, and proposes this solution to solve the problems of slow solution in the prior art. The AI ​​Model is used to solve the INPUT file of a known pattern type; the BEM field solver is used to solve the INPUT file of an unknown pattern type, and all the parametric features of the unknown pattern type are automatically extracted at the same time, and the principal component analysis method is used to automatically reduce the dimension of all the parametric features, obtain the parametric structure feature vector of the unknown pattern type, call the layout pattern generator that can add process fluctuations to generate the training data of the unknown pattern type, and use it to train the ANN model of the unknown pattern type, update the training results to the AI ​​Model, and convert the unknown pattern type into a known pattern type. The advantage is that extraction can be performed for each sampling point, the AI ​​Model library can be automatically improved, and the unknown pattern type can be converted into a known pattern type, thereby gradually accelerating the speed of parasitic capacitance extraction.

Disclosed are a thread construction method and device. The method includes: a workload is divided into a plurality of work groups; for any work group, a pattern type that matches a size of the any work group is selected, a target thread construction pattern is determined from a plurality of candidate thread construction patterns corresponding to the pattern type; a plurality of threads are constructed according to the target thread construction pattern; the threads are composed of a plurality of consecutive work items in the any work group; the work item index corresponding to at least one key work item in the work item sequence of each thread is cached and the work item index of each thread is obtained, which is configured to schedule the any work item corresponding to the thread to the processing unit.

The invention discloses a product knowledge graph construction method based on image driving. The method comprises the following steps: constructing a product knowledge graph ontology; according to the ontology class and the ontology relationship of the batik product, constructing a batik product ontology framework, and combining the preprocessed product image data to construct an image-driven batik product knowledge graph, including entity acquisition and relationship acquisition; an entity set E is obtained and represented as E = EIMG U ETEXT, EIMG represents image entities including products, patterns and representative pattern entities, and ETEXT represents text type entities including themes, layouts and pattern type entities; visualizing the product knowledge graph; aiming at the automatic updating of the composition relationship, the pattern is automatically extracted from the batik product image, and the method is realized based on a target detection technology. The method has the characteristic of constructing the knowledge graph by combining with the image data.

A memory test circuit is provided. The memory test circuit is disposed in a memory chip and electrically coupled to a memory macro of the memory chip. A high speed clock receives an input signal and an external clock signal. The input signal includes a plurality of test bits. A finite state machine controller provides a pattern type. A pattern generator generates and provides a test signal to at least one memory cell of the memory chip to write the test signal to the at least one memory cell based on the pattern type and the external clock signal. A test frequency of the test signal is determined based on the high speed clock. An output comparator outputs a comparison signal based on a difference between the test signal and a readout signal corresponding to the test signal read from the at least one memory cell.

The invention discloses an embroidery machine positioning method and an embroidery machine, and the method comprises the steps: obtaining a deviation value between a projection picture coordinate of a projector and a lower needle point coordinate, and obtaining embroidery pattern data; controlling the projector to project a pattern image corresponding to the embroidery pattern data to embroidery cloth of the tabouret; and controlling the tabouret to move based on the deviation value, so that the expected embroidery position of the pattern image is aligned with an embroidery needle. Therefore, the corresponding relation between the pattern image and the actual embroidery position on the embroidery cloth can be established, so that the embroidery needle can be directly positioned to the expected embroidery position for embroidery, the positioning efficiency is remarkably improved, and the dependence on the experience of an operator is reduced; projected pattern images visually show the embroidery effect, repeated adjustment and cloth waste caused by naked eye judgment are reduced, typesetting precision and consistency are improved, and the requirements of the embroidery machine for practicability and complex operation of various pattern types are met.

The application relates to an embroidered heat pipe material, belonging to the heat pipe field, which comprises a shrinkage layer, a glue layer I, a PET layer I, a glue layer II, a PET layer II, a plating layer and a color layer arranged in sequence, the glue layer I is obtained by coating adhesive on the shrinkage layer, the glue layer II is obtained by coating adhesive on the PET layer I, the PET layer I and the PET layer II are both prepared from PET substrates; the plating layer comprises acrylic resin and silver, and the plating layer is prepared by the following steps: coating acrylic resin on the surface of the PET layer II, curing to obtain a coating substrate, performing mold pressing on the coating substrate to obtain a substrate with a fantasy color image, and performing metal silver spraying on the substrate with the fantasy color image to obtain the plating layer. The application has the effect of increasing the pattern type and the color type of the embroidered heat pipe material, and the embroidered heat pipe material has good pipe winding performance.