106 results about "Local pattern" patented technology

An integrated circuit (IC) design system and method provide an optimization of a layout of an integrated circuit wherein an assessment is taken into account of the circuit performance characteristics and the layout of the IC design. The system and method assess associated circuit performance characteristics, each as a cost function of a local pattern of shapes in an initial circuit layout, aggregate cost functions of the associated circuit performance characteristics to derive an integral performance number associated to the initial global circuit layout, perturb the integral performance number by varying the global circuit layout, and select perturbations that optimize the performance number, so as to optimize the global circuit layout. Assessment is taken into account of the circuit performance characteristics based on the layout and the interdependence of the circuit performance characteristics for the IC design. The physical process related effects such as well proximity effect and stress / strain engineering and / or performance parameters such as the P-N transistor size ratio are taken into account to achieve optimization.

A 2D image supplied from an image input unit including a wide view lens is sampled into a discrete form by an array sensor, and then mapped to a multi-resolution space by a 2D filter. The feature of the supplied image is detected, and then the mapped image is transformed to a local pattern about the detected feature, and then the coordinates of the position of the feature and the code word of the local pattern are formed into a set which is then encoded. The code is supplied to each cell of a stochastic automaton. The quantity of visual information is calculated in accordance with the quantity of mutual information between different cells of the stochastic automaton consisting of cells in blocks, the coordinates of the position of the feature and the distance from the feature to the optical axis so as to control the optical axis of the image input unit in such a manner that the quantity of visual information is maximized.

An efficient generator of update packages employs a new command SET PTR CACHE to take advantage of a rudimentary caching mechanism that allows exploiting of local patterns in pointer replacements.

The invention provides a photo-curing three-dimensional printing method and printing device based on projection. The printing method comprises the following steps: a projection system scans, prints and cures layer by layer under the control of a control system; when each layer is printed, the whole pattern needing to be printed on each layer is completed by linearly moving a projection breadth obtained by the projection system in a horizontal plane, and the projection breadth horizontally and linearly moves according to a preset route; during moving, the control system obtains the coordinate position of an area projected by the projection breadth in real time and controls a local pattern, corresponding to the coordinate position, projected by the projection system, and the printing and curing of the local pattern are completed. The projection breadth obtained by the projection system linearly moves in a horizontal plane, namely mobile projection. The large-breadth photo-curing three-dimensional printing can be realized, the printing precision and high efficiency of a projector are ensured, and the printing precision of the whole product is improved.

A three-dimensional distance measurement apparatus comprising: a distance information calculation unit configured to calculate distance information of a measurement object based on a captured image of the measurement object on which pattern light is projected; and a local pattern setting unit configured to adaptively set a spatial resolution of measurement points of the pattern light for each local region, wherein the local pattern setting unit sets the spatial resolution of the measurement points of the pattern light based on information about an arithmetic amount of the distance information calculation unit.

The invention discloses a cross-terminal data form description and presentation method based on extensive makeup language (XML). The method comprises the following steps of: defining overall or local patterns of a data form interface such as color, font, hierarchical relationship, alignment mode, line feed mode and the like through an interface description file; defining the binding relationship between data form interface elements and data fields such as type, visibility, read-only property and check rules of data and the editor type of the data fields and the like; for terminals of different types, resolving the interface description file through a specific interface description resolver, and acquiring the layout mode of the data form interface and the data binding relationship on the corresponding terminals; and implementing different interface presentation forms of the same data form at different terminals by defining the interface description file at one time. By the method, repeated data form interface design operation of development personnel is avoided, the reusability of the existing operation is improved, and 'one-time design and multiple presentations' of the data form interface is realized.

The invention discloses a time-series similarity measurement method based on segmented statistical approximate representation. The method comprises the steps of feature extraction and dynamic pattern matching. First, a time series is segmented into sub series, the various statistical features of the sub series are sequentially extracted, and local pattern feature vectors are constructed; then the distance between the local pattern feature vectors is calculated by the weighted Euclidean distance, local pattern matching is achieved, the matched local pattern is used as the sub program of a dynamic programming algorithm, and global pattern matching is achieved. The method is superior to other measurement methods by a large degree on the aspects of measurement precision and calculation efficiency, and plays an important role in daily activities and industrial production of people, for example, financial transactions, traffic control, air quality and temperature monitoring, industrial flow monitoring, medical diagnosis and the like. Large scale sampling data or high-speed dynamic data flow is subjected to similarity-based search, classification, clustering, prediction, abnormal detection, on-line pattern recognition and the like.

A method for compensating pattern placement errors during writing a pattern on a target in a charged-particle multi-beam exposure apparatus including a layout generated by exposing a plurality of beam field frames using a beam of electrically charged particles, wherein each beam field frame has a respective local pattern density, corresponding to exposure doses imparted to the target when exposing the respective beam field frames. During writing the beam field frames, the positions deviate from respective nominal positions because of build-up effects within said exposure apparatus, depending on the local pattern density evolution during writing the beam field frames. To compensate, a displacement behavior model is employed to predict displacements; a local pattern density evolution is determined, displacements of the beam field frames are predicted based on the local pattern density evolution and the displacement behavior model, and the beam field frames are repositioned accordingly based on the predicted values.

The invention discloses a fabric property picture collection and recognition method based on deep learning. The method comprises the steps that multiple fabric property pictures are acquired, macro information and micro information of the fabric property pictures are collected, and a training set is generated; the training set is trained through a deep learning model; deep features which are trained through the deep learning model and contain global information and local information at the same time are extracted, and linear discriminant analysis is performed on the deep features to complete training of the deep learning model; and fabric recognition is performed through a cosine distance according to the trained deep learning model. Through the method, multiple fabric property recognition problems including weaving process problems, background color process problems, surface process problems, printing process problems, spinning process problems and the like are solved, meanwhile, the trained model contains the local information and the global information at the same time, and the accurate recognition rate and the matching rate of a local pattern and a global pattern of a fabric are increased. The invention furthermore discloses a fabric property picture collection and recognition system based on deep learning.

A method, system, and computer readable medium for identifying local patterns in at least one time series data stream are disclosed. The method comprises generating multiple ordered levels of hierarchal approximation functions. The multiple ordered levels are generated directly from at least one given time series data stream including at least one set of time series data. The hierarchical approximation functions for each level of the multiple levels is based upon creating a set of approximating functions. The hierarchical approximation functions are also based upon selecting a current window with a current window length from a set of varying window lengths. The current window is selected for a current level of the multiple levels.

A method and a system for pattern recognition utilizes an ensemble of reference patterns to represent the possible instances of the models to be recognized; constructs a hierarchy of estimators to simplify and enhance the recognition of the models of interest; approximates complex reference patterns with linear compositions of simpler patterns; fragments complex patterns into local patterns so that interference between the local patterns is sufficiently small for linearization methods to be applicable; constructs estimators during an offline stage to offload calculations from the online signal processing stage; designs model estimators based on optimization principles to enhance performance and to provide performance metrics for the the estimated model instances; generates a hierarchy of reference descriptors during the offline stage, which are used for the design and construction of the model estimators. Specific examples are provided for the recognition of image features such as edges and junctions.

A dry etching equipment includes a topography simulator and a control section. The topography simulator controls an amount of deposition species incident upon a sidewall to be processed in accordance with a wafer opening ratio and a solid angle of a local pattern, the deposition amount being represented by a product of a reaction product flux and the solid angle. The control section compares a database obtained by the topography simulator with an actual measured value detected from an etching condition during dry etching to calculate a correction value for etching process, and indicates the correction value to an etching chamber in the dry etching equipment. The dry etching equipment corrects in real time a parameter for the etching process conducted in the etching chamber.

The invention discloses a time sequence similarity measurement method based on self-adaptive piecewise statistical approximation. The method comprises the following steps of firstly, segmenting a time sequence into subsequences containing complete fluctuation trends based on time sequence coded identification turning points; secondly, extracting various statistical characteristics of each subsequence in sequence so as to configure local pattern character vectors; and lastly, computing a distance between the local pattern character vectors by utilizing a normalized distance so as to realize local pattern matching, and using the local pattern matching as a subprogram of a dynamic programming algorithm so as to realize global pattern matching. The time sequence similarity measurement method is better than the other measurement method in the aspects of measurement precision and computational efficiency to a larger extent, and plays an important role in daily activities and industrial production of people, such as similarity search, classification, clustering, predication, anomaly detection, on-line pattern recognition and the other processing of large-scale sampling data or high-speed dynamic data flow in banking transaction, traffic control, air quality and temperature monitoring, industrial flow monitoring, medical diagnosis and the other application.

The invention discloses a beam forming algorithm for a curved surface conformal circular polarization phased array antenna and belongs to the technical field of a conformal phased array antenna. The algorithm comprises the steps of establishing a global coordinate system of a curved surface conformal array and a local coordinate system of each antenna unit; obtaining a global coordinate, a position vector and a polarization vector of each antenna unit; carrying out calculation to obtain a vector pattern of each antenna unit according to the position vector of each antenna unit and a local pattern of each antenna unit; carrying out calculation to obtain a polarization compensation phase of each channel according to a beam pointing angle and the polarization vector of each antenna unit; andcarrying out total field synthesis on the curved surface conformal circular polarization phased array antenna, thereby obtaining an array pattern. According to the algorithm, through addition of the polarization compensation phase to each channel, the optimum polarization analysis is realized; the algorithm is simple in method, is easy to realize and is fast in calculation speed; the algorithm isparticularly applicable to the circular polarization phased array antenna; and the algorithm has very high engineering application prospect and is the important improvement for the prior art.

A hot spot defect detecting method and a hot spot defect detecting system are provided. In the method, hot spots are extracted from a design of a semiconductor product to define a hot spot map comprising hot spot groups, wherein local patterns in a same context of the design yielding a same image content are defined as a same hot spot group. During runtime, defect images obtained by an inspection tool performing hot scans on a wafer manufactured with the design are acquired and the hot spot map is aligned to each defect image to locate the hot spot groups. The hot spot defects in each defect image are detected by dynamically mapping the hot spot groups located in each defect image to a plurality of threshold regions and respectively performing automatic thresholding on pixel values of the hot spots of each hot spot group in the corresponding threshold region.

A SAR image classification method based on multiple features and composite kernel comprises the following steps: 1, inputting an image; 2, extracting spatial features and structural feature by using gray level co-occurrence matrix and multi-level local pattern histogram; 3, fusing the extracted spatial features and the structural features to form a feature fusion matrix; 4, construct a training sample set and a test sample set; 5, generating the superpixel by using the generalized likelihood ratio and the like; 6. Weighing The traditional feature kernel provided by radial basis function and the context information kernel composed of super pixels into a composite kernel to form a new support vector machine. 7, performing classification; 8. Calculating Classification Precision. By using theinvention for classification, the influence of speckle noise can be effectively reduced, the accurate classification of the SAR image is realized, the classification precision is effectively improved,and the method can be used for target recognition and tracking of the SAR image.

The invention discloses a production process of local pattern vacuum aluminum plating and lasering multiple anti-counterfeiting lining paper for cigarettes. The process is characterized in that a release layer of the lining paper for cigarettes prepared by virtue of a process technology of laser information overlaid with silicon oil patterns has multiple-anti-counterfeiting performance after vacuum aluminum plating. The production process comprises the following steps: preparing the release layer; pressing laser mould; printing the silicon oil patterns; carrying out vacuum aluminum plating; compounding paper; and peeling a thin film. Compared with the prior art, the production process disclosed by the invention has the advantages that multiple-anti-counterfeiting performance is achieved, so that the a similar vivid dynamic effect cannot be simulated through a common printing process after the laser effect on the surface of paper and the effect of the local patterns subjected to vacuum aluminum plating are overlaid, so that the copying difficulty is greatly increased, the anti-counterfeiting grade is obviously improved, and moreover, the manufacturing process is simple and convenient to operate. The content of volatile organic compounds (VOCs) of the product meets the tobacco industrial standard YC264-2008.

The invention discloses a pedestrian re-identification method based on semantic region expression, including the following steps of giving an image, detecting the positions of different parts of the pedestrian in the image to obtain a set comprising different component regions, according to the high-level semantic information possessed by pedestrians, extracting and cascading the features in eachcomponent region by using a scale-invariant local pattern descriptor and a color histogram descriptor, and then reducing the original features in dimension by principal component analysis to obtain the feature set of component region; according to the feature set of the component region, obtaining a more complete feature descriptor for pedestrians by combining the global feature and local featureof the image. By using the triple loss training function, the original eigenvector can be mapped into the new eigenspace and the separability between samples can be improved. The similarity between pedestrian image features is calculated according to the metric matrix obtained by learning, so that the pedestrian re-recognition can be realized. The method of the invention not only avoids the interference of the image background, but also realizes the comparison of similarities between corresponding regions, and effectively improves the robustness and reliability of the features.

A method of detecting lesions and polyps in a digital image, wherein said image comprises a plurality of 3D volume points, is provided. The method includes identifying a surface in the image, and for each point in the image, calculating a first curvature measure, forming a set of rings of points about each point, each ring being of equal geodesic distance from a center point for the ring, calculating, for each ring, a standard deviation of the first curvature measure, and selecting those rings with a minimum standard deviation for the first curvature measure. A first curvature slope is calculated for the selected rings, those points where the curvature slope departs from the pattern expected for a polyp or lesion are deleted from the surface.

The invention discloses a DFM (design for manufacturability) method for a territory. The method comprises the following steps that a current layer territory and a former layer territory are respectively subjected to local pattern density inspection; each region with the local pattern density being smaller than a first image density specification value is screened out, and redundant patterns are filled in the regions; the region, with the local image density being smaller than a second image density specification value, of the former layer territory is screened out, and the CD (critical dimension) of the patterns in the same region of the current layer territory is regulated; the region, with the local pattern density being smaller than a third image density specification value, of the former layer territory is screened out, a second image with the pattern CD being smaller than a minimum specification value and the interval from the images of the former layer territory being smaller than a minimum distance specification value is screened out in the same region of the former layer territory, and the CD and the intervals are regulated; the corrected current layer territory is subjected to OPC (optical proximity correction). The DFM method has the advantages that the former layer image influence can be eliminated, and the photoetching process difficulty is reduced, so the design territory can be easily manufactured.

The invention discloses a preparation method of optical fiber decoration cloth. The preparation method comprises the following steps that (1) core threads are prepared; (2) jacquard yarns are prepared; (3) the jacquard yarns are blended with other non-transparent yarns through a jacquard process and are woven into cloth, and the transparent yarns form light-transmission or diffuse reflection light ray patterns at the local part of the cloth. The invention also discloses optical fiber decoration cloth prepared by adopting the method. The optical fiber decoration cloth comprises a cloth body, wherein the cloth body comprises at least one light-transmission or diffuse reflection light ray local pattern woven by the jacquard yarns, and the jacquard yarns are woven by the core wires coated with light reflecting layers on the surface and transparent or semitransparent fiber wrapped at the outer surfaces of the core wires. The invention also discloses a luminous decoration device. The optical fiber decoration cloth and the luminous decoration device can be used on furniture such as beds, sofas, chairs, decoration cabinets, shoe cabinets and the like, the luminous decoration device is combined with the furniture design, and a bran-new decoration furniture design idea is formed.

There is provided an evaluation object pattern determining apparatus capable of determining local patterns to be evaluated. The apparatus is for use in a pattern evaluating system storing patterns of a LSI chip as CAD data, picking out coordinates of local patterns whose process margin is small from the CAD data by way of simulation and assisting observation of the local patterns produced in a fabrication line. The apparatus includes a risk level map creating section for creating risk level maps in which risk areas are disposed. The risk area is assigned with a risk level obtained by digitizing that the risk area is an area whose process margin is smaller than other areas. The apparatus also includes a superimposition processing section for superimposing the coordinates of the local patterns with the risk level map to pick out the coordinates of the local patterns located within the risk area.

The invention discloses a printing method of a 3D magnetic hidden carving light-change reverse-phase pattern. The hidden carving light-change reverse-phase pattern refers to a pattern in which two ormore light-change angle phases can be displayed under the same printed layer, that is, the pattern of a same ink layer is divided into two or more parts happening desynchronous color sequence change effects, an observer can see that the first part of the pattern changes from a color A to a color B and the second part of the pattern changes from the color B to the color A along with changes of a viewing angle. The pattern with three or more parts can also generate desynchronous color changes along with the changes of the viewing angle. Yin and yang color changing or yin and yang text hiding isa special effect of hidden carving, that is, the pattern of the same ink layer is divided into two or more parts, the viewing angle is adjusted, then the special visual effect that the other part is darkest when one part is brightest is achieved, and the effect that the brightness of the two parts is moderate, the color is almost the same, and the two parts are integrated into a whole can be achieved. According to the printing method, the magnetic control technology is used, specific magnetic orientation of the magnetic ink local patterns is achieved, and stepwise photocuring is carried out incooperation with a digital imaging device to finally form a complete pattern through curing. The hidden carving light-change reverse-phase pattern can effectively hide an information layer into a coating, and has strong anti-counterfeiting and decorative properties.

Calibration methods for calibrating image capture devices of an around view monitoring (AVM) system mounted on vehicle are provided, the calibration method including: extracting local patterns from images captured by each image capture device, wherein each local pattern is respectively disposed at a position within the image capturing range of one of the image capture devices; acquiring an overhead-view (OHV) image from OHV point above vehicle, wherein the OHV image includes first patterns relative to the local patterns for the image capture devices; generating global patterns from the OHV image using the first patterns, each global pattern corresponding to one of the local patterns; matching the local patterns with the corresponding global patterns to determine camera parameters and transformation information corresponding thereto for each image capture device; and calibrating each image capture device using determined camera parameters and transformation information corresponding thereto so as to generate AVM image.

One embodiment of the present invention provides techniques and systems for modeling mask errors based on aerial image sensitivity. During operation, the system can receive an uncalibrated process model which includes a mask error modeling term which is based at least on an aerial image sensitivity to mask modifications which represent mask errors. Next, the system can fit the uncalibrated process model using measured CD data. Note that the mask error modeling term can also be dependent on the local pattern density. In some embodiments, the mask error modeling term can include an edge bias term and a corner rounding term. The edge bias term can be based on the sensitivity of the aerial image intensity to an edge bias, and the corner rounding term can be based on the sensitivity of the aerial image intensity to a corner rounding adjustment.

The invention discloses a method for printing by adopting an iron printing machine and an environment-friendly coating. The method is characterized by comprising the steps of substrate surface treatment and UV printing; in substrate surface treatment, the feeding section of the iron printing machine is additionally provided with a laser processor, a substrate surface treatment process is directly built in a printing line to form a continuous online surface treatment and printing production integrated process, and laser produced by the laser processor rapidly moves on a substrate surface; and in UV printing, the iron printing machine is connected in series with a plurality of UV printing units, each UV printing unit comprises a printing assembly, a UV lamp bank and an exhaust gas recovery assembly, the printing assembly in each UV printing unit adopts UV environment-friendly ink to realize printing of local patterns on the substrate surface subjected to laser processing, and each exhaust gas recovery assembly comprises a cooling hood and a suction fan and is used for recovering exhaust gases and waste heat which are generated by UV printing.