37 results about "Object field" patented technology

A method for operating a projection exposure system (1) comprises the following steps: providing a projection exposure system (1) with a radiation source (1) for generating illumination radiation (3), an illumination optic (11) for transferring the illumination radiation (3) from the radiation source (2) to an object field (8) extending in a scan direction (y) and a cross-scan direction (x), wherein the illumination optic (11) has at least one faceted mirror (6, 7) with a plurality of individual mirrors, and wherein at least a subset of the individual mirrors is configured such that they only partially illuminate the object field (8) in the scan direction (y), and a projection optic (10) for imaging a reticle (12) arranged in the object field (8) of the illumination optic (11) onto a wafer (19) arranged in an image field (17) of the projection optic (10), and specifying a set of at least one element of field-dependent aberrations. (Ai(x, y);i=(1..M)), specification of a target vector (Z(x) = (Z1(x), ..., Z; M (x) T ) for the target values ​​Z i (x) of the aberrations Ai(x, y) after averaging over the scan direction (y), dividing the extent of the object field (8) in the scan direction (y) into j ≥ 2 intervals ([y0; y1], ..., [y j-1 ; y j ]) and determining scan weights (gi(x, y)) which characterize a dependence of an illuminance at a location x in the cross-scan direction in the object field () on a position in the scan direction (y) such that a deviation of a weighted aberration vector A weighted ( x ) → : = ∑ gi A l → is reduced from the target vector (Z(x)).

Embodiments of the present disclosure provide a data query method and apparatus, an electronic device, and a storage medium. A data query statement inputted by a user is displayed. The data query statement includes at least one expression field, and the expression field includes a first object field and a second object field that are arranged in sequence, the first object field representing a data object, and the second object field representing a data attribute of the data object. The expression field is used to define a data query dimension of a target business process, and the query statement is used to represent a target query dimension formed by at least one data query dimension. Target data is obtained by responding to the data query statement. The target data is a result of querying business node data of the target business process based on the target query dimension.

The application discloses an abstracted geological exploration database form generation method and system, and relates to the technical field of computers.The technical scheme is as follows: a geological object table is established by taking geological objects as indexes;corresponding data source fields are configured in the geological object table, and an exploration object field is configured; data sources, exploration objects and corresponding geological information are associated, and additional independent fields are configured to record geometric and attribute information of the same geological object collected by different exploration means; a data entry subtable is formed by extracting field combinations associated with exploration means from one or more geological object tables; and the geological object table is connected with a data output interface of an exploration database.The application takes results as a guide, takes geological objects as initial indexes, and takes data obtained by exploration means as data sources of each record in the geological object table, so that the data is associated and stored, the repetition of fields and forms is reduced, and the development and operation efficiency of the database is improved.

This invention belongs to the field of coaxial holographic reconstruction and discloses a holographic reconstruction method based on a wavelet domain feature correlation complex-valued neural network. Specifically, the method involves: adding a phase term to the coaxial hologram A to construct a complex amplitude B, and performing an n-level discrete wavelet transform on it. The transformed result and the complex amplitude B are used as inputs to the complex-valued neural network, outputting the object field complex amplitude C. Next, noise suppression is applied to the object field complex amplitude C, and the suppressed complex amplitude D is used to simulate the forward propagation process of coaxial holography to generate a hologram E. Finally, the similarity between coaxial hologram A and hologram E is calculated, and a smoothing total variational constraint is applied to the phase of the complex amplitude D. Holographic reconstruction is achieved through a gradient descent optimization algorithm of the complex-valued neural network. This invention aims to utilize the inherent coupling relationship between the wavefront amplitude and phase terms in optical holography to construct a complex-valued feature correlation model to separate the target object from the background information, preserving target features while suppressing noise, thus achieving superior holographic reconstruction.

The invention discloses a data processing method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining multiple pieces of original data from a data source; constructing a data object corresponding to the original data, wherein the data object comprises a bitmap object field; a bitmap object used for calculating a preset index is stored in the bitmap object field; and converging each bitmap object to obtain a convergence result corresponding to the preset index, and storing the convergence result in a database. According to the implementation mode, the bitmap objects are constructed according to the original data, the bitmap objects are converged, and the convergence result is stored in the database, so that resource occupation in the calculation process is reduced, the convergence performance and efficiency are improved, the write pressure of the database is reduced by performing part of convergence work before writing into the database, and the calculation efficiency is improved. And the performance of the database is improved.

The present invention relates to a method for implementing a transaction between a sending entity and a receiving entity, defined by a form comprising a plurality of fields, including: Obtaining the contents of the fields of said form; Generating a structured file representing the transaction containing said data from the fields of said form, consisting of elementary objects of categories each defined by a predefined set of standardized object fields, each elementary object being composed of blocks defining subsets of said predefined set of object fields, and links between fields of the blocks; said generation of said structured file comprising the transcription of said contents of the field(s) of said form into the object fields of said structured file; Making available a message encapsulating said structured file;Extraction and processing of data from the fields of said structured file, in order to implement said transaction. Fig. 1;

We provide an imaging EUV optical unit for imaging the object field into the image field. [Solution] The imaging EUV optical unit (10) plays the role of imaging the object field (5) into the image field (11). The imaging optical unit (10) has a plurality of mirrors (M1~M5) for guiding EUV imaging light (16) with a wavelength shorter than 30 nm along the imaging beam path. The imaging EUV optical unit (10) has an image-side numerical aperture of at least 0.3. The total transmittance of the plurality of mirrors (M1~M5) is greater than 10%. The total mirror surface, which corresponds to the sum of all used mirror surfaces of the plurality of mirrors (M1~M5), is 1.5 m 2 It is less than [a certain value]. This results in an imaging EUV optical unit with improved usability for EUV projection exposure systems.

The invention, which relates to the technical field of microscopic imaging and wafer bonding, provides a large-field-of-view dispersion microscope objective comprising a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, a seventh lens, an eighth lens and a ninth lens in sequence from an emergent side to an object side. The first lens and the second lens are glued to form a group of doublet lens, the fourth lens and the fifth lens are glued to form a group of doublet lens, and the sixth lens and the seventh lens are glued to form a group of doublet lens. The dispersion microscope objective is a 5X objective, the object space view field is 11mm, the dispersion microscope objective is used in a high-precision chip and wafer bonding visual system, adjacent mark points of a chip and a wafer needing to be bonded can be observed at the same time through the microscope objective by means of dispersion characteristics, and due to the fact that real-time observation can be achieved in the bonding process, the bonding precision is greatly improved. Therefore, by using the large-view-field dispersion microscope objective, the precision and efficiency of a chip and wafer bonding system can be greatly improved.

An imaging EUV optical unit (10) for imaging an object field (5) to an image field (11). A plurality of mirrors (M1 to M8) are used to guide EUV imaging light (16) having a wavelength shorter than 30 nm along an imaging beam path from the object field (5) towards the image field (11). The total transmission rate of the EUV imaging light (16) by the plurality of mirrors (M1 to M8) is greater than 5%. An image field (11) of the imaging optical unit (10) has a maximum range greater than 26 mm in the image plane (6). This results in an imaging EUV optical unit that improves the availability of an EUV projection exposure apparatus.

A method of determining optical properties of an optical system having an illumination system to illuminate an object field and a projection system to image the object field into an image field, comprises: providing an illumination of the object field via an illumination pupil comprising a plurality of pupil spots; providing an optical element with an optical surface comprising a plurality of shifting optical areas which effect an individual direction shift, depending on the respective shifting optical area, of an illumination beam entering the respective shifting optical area; calibrating the individual direction shift by measuring a pupil spot shift resulting from the shifting optical areas via a measuring pupil in the illumination beam path after the optical element for each of the pupil spots for a plurality of separate field points within the object field; and calculating the optical properties to be determined from the measured pupil spot shift.

The present application relates to the technical field of inertial confinement fusion measurement, and particularly relates to a kind of KB microscope full field full spectral response efficiency calibration method, comprising: obtaining the system response efficiency measured value of the microscope to be calibrated at at least one discrete energy point, at at least one selected position in object field;System response efficiency theoretical model of the microscope to be calibrated is constructed, theoretical model will system response efficiency be characterized as the function of object field position and incident X-ray wavelength variation, and contain at least one correction parameter for characterizing the deviation between actual system and ideal model;System response efficiency measured value and the calculation result of theoretical model under the same conditions are compared and fitted to correct correction parameter, and the corrected theoretical model is obtained;Using the corrected theoretical model, the system response efficiency of the microscope to be calibrated in the entire object field and the continuous spectral range is determined.

A digital holographic imaging technique, includes iterative steps of: a) through back-propagation to the object coordinate of a hologram field comprising a spatial distribution of amplitude corresponding to the spatial distribution of intensity of the hologram and a spatial distribution of phase, determining an object field involving a spatial distribution of absorption and of phase shift of the imaged object, b) thresholding the values of the spatial distribution of absorption and of phase shift by decreasing the values to below a respective threshold, the thresholds decreasing in each iteration, c) through repropagation of the object field to the hologram coordinate, determining a modified hologram field comprising a modified spatial distribution of amplitude and a modified spatial distribution of phase, d) replacing the spatial distribution of phase of the hologram field with the modified spatial distribution of phase, the spatial distribution of phase shift and of absorption of the imaged object being those of the object field of the last iteration.

A LiDAR device (14) for scanning measurement of a distance to an object (12) comprises a photonic integrated circuit (52) with a plurality of optical waveguides (38) and a plurality of couplers 40). Each coupler (40) emits light guided in the optical waveguide (38) into free space and / or couples light propagating in free space into the optical waveguide (38). A collimating optical system (44) collimates light beams emitted by the couplers (40) and / or focuses collimated light beams. Microlenses (54; 54a, 54b) form real or virtual images of associated couplers (40), said images being arranged in an object field (56) of the collimating optical system (44). The collimating optical system (44) has a collimator numerical aperture which is greater than each of the coupler numerical apertures. Each microlens (54; 54a, 54b) has a collimator-side numerical aperture that is greater than its coupler-side numerical aperture. In this manner, insertion losses caused by NA mismatch are reduced.

This invention discloses a data cleaning method, apparatus, electronic device, and storage medium, relating to the field of data processing technology or other related fields. The method includes: receiving a data cleaning request submitted by a user and parsing the request to obtain N cleaning tasks, each corresponding to a preset cleaning rule. Each cleaning task includes at least a task object field, task execution conditions, and task execution order, where N is a positive integer. For each cleaning task, a filter template is matched according to the preset cleaning rule, and filter entity code is generated by combining the filter template, task object field, and task execution conditions. According to the task execution order, the N filter entity codes are organized into a chained execution structure to generate chained execution code. The chained execution code is injected into an execution engine, and the execution engine is run to obtain the data cleaning result. This invention solves the technical problem of low efficiency in traditional data cleaning methods in related technologies.

We provide an imaging EUV optical unit for imaging an object field into an image field. [Solution] The imaging EUV optical unit (10) plays the role of imaging the object field (5) onto the image field (11). Multiple mirrors (M1 to M8) play the role of guiding EUV imaging light (16) with a wavelength shorter than 30 nm along the imaging beam path from the object field (5) to the image field (11). The total transmittance of the multiple mirrors (M1 to M8) to the EUV imaging light (16) is greater than 5%. The image field (11) of the imaging optical unit (10) has a maximum extent of greater than 26 mm on the image plane (6). This results in an imaging EUV optical unit with improved usability for EUV projection exposure equipment.

Activities related to data analyses are managed in part using task objects representing tasks that need to be performed. In one embodiment, a method comprises: receiving a first request to generate a task object that describes a task; responsive to the first request, generating the task object, the task object being a data structure that comprises values for task object fields that represent attributes of the task; identifying, in a repository of data objects, a particular data object to associate with the task object; determining that a first field of the task object fields corresponds to a second field of the particular data object, the second field of the particular data object having a particular value; and assigning the first field of the task object to the particular value of the corresponding second field. In another embodiment, task objects are associated with geolocation data, and mapped or otherwise presented accordingly.

A data augmentation method includes: obtaining first field images captured in a first field and second field images captured in a second field; cropping first object images and second object images respectively from the first field images and the second field images; training an object generation model by the first object images and the second object images; generating new object images by the object generation model; synthesizing the new object images into the second field images as new object field images; and training an object discrimination model with the second field images and the new object field images.

A method includes receiving image data captured by a sensor system indicating an object in an object field of a vehicle, the sensor system including a plurality of micro-lenses and a pixel, each micro-lens of the plurality of micro-lenses corresponding to a sub-pixel of the pixel, each sub-pixel of the pixel having a plurality of phase-pixels. The method also includes identifying a respective phase ratio of the pixel, each of the sub-pixels of the pixel, and each phase-pixel of the plurality of phase-pixels, and identifying, based on the respective phase ratios of each of the phase-pixels, a depth of the object in the object field. The method also includes estimating an edge of the object, rearranging the sub-pixels of the pixel to generate a transformed image file of the object, and generating, for output to a viewing stack and a perception stack, the transformed image file.

This provides a method for determining the optical properties of an optical system. [Solution] To determine the optical properties of an optical system having an illumination system that illuminates an object field of view and a projection system that images the object field of view into an image field of view, the following steps are taken: Illumination of the object field of view is provided through an illumination pupil containing a plurality of pupil spots. An optical element is provided having an optical surface containing a plurality of shift optical regions. The plurality of shift optical regions result in a separate directional shift of the illumination beam incident on each shift optical region, depending on each shift optical region. For a plurality of distinct field of view points in the object field of view, the individual directional shifts are calibrated for each pupil spot by measuring the pupil spot shift resulting from the shift optical region via a measuring pupil (4) in the path of the illumination beam after the optical element. From the measured pupil spot shifts, the optical properties to be determined are calculated. The resulting determination method is robust to obtaining the desired optical properties.

The invention relates to an illumination optical unit (11) having two facet mirrors (6, 7) for reflecting illumination light (2) from an EUV light source (2). The second facet mirror (7) has a second individual mirror (34) forming a second facet (25), which images a set of individual mirrors (26) of the first facet mirror (6) forming the first facet at least into a partial field of the object field (8) via a partial beam (30) of the illumination light (3). The intensity sensor device (31) is used to measure a dependency of an intensity of the illumination light (3) incident on the object field (8) on at least one detection object field coordinate (x). The intensity sensor arrangement has individual sensor mirrors (21S) of the first facet mirror (6), which are assigned to a plurality of different object field positions (xi) along the detection object field coordinates (x). The individual sensor mirror (21S) is designed to reflect the illumination light (3) to an intensity sensor (32i) of the intensity sensor device (31). The result is an illumination optical unit in which the respective intensity coordinate dependent measurements can be performed accurately and in parallel with the operation of use of the illumination optical unit.

The invention belongs to the field of coaxial holographic reconstruction, and discloses a holographic reconstruction method based on a wavelet domain feature association complex-valued neural network, and the method specifically comprises the steps: adding a phase item to a coaxial hologram A to construct a complex amplitude B, carrying out the n-level discrete wavelet transformation of the complex amplitude B, taking the transformed result and the complex amplitude B as the input of the complex-valued neural network, and carrying out the n-level discrete wavelet transformation of the complex amplitude B; outputting object field complex amplitude C; performing noise suppression on the complex amplitude C of the object field, and simulating a coaxial holographic forward propagation process by using the suppressed complex amplitude D to generate a hologram E; and finally, calculating the similarity between the coaxial hologram A and the hologram E, carrying out smooth total variation constraint on the phase of the complex amplitude D, and realizing holographic reconstruction through a gradient descent optimization algorithm of a complex valued neural network. According to the method, the inherent coupling relation between the wavefront amplitude item and the phase item in the optical holography is utilized, the complex value feature correlation model is constructed to divide the target object and the background information, the target features are reserved, meanwhile, noise is restrained, and more excellent holographic reconstruction is achieved.

The application belongs to the field of holographic phase reconstruction, and discloses a complex amplitude reconstruction method based on a frequency domain self-supervised complex neural network, which provides a reconstruction method learned from the frequency domain while getting rid of the dependence of an end-to-end network on a large amount of labeled data, and adopts a network architecture based on a complex neural network to combine the physical process of an optical coaxial holographic imaging model, so that the collected hologram is subjected to Fourier transform to obtain a frequency spectrum B, the frequency spectrum B is put into the complex neural network, an object field frequency spectrum C is output, inverse Fourier transform is performed, a coaxial holographic forward propagation process is simulated to obtain a diffraction complex amplitude D, the intensity is taken as a reconstructed hologram E and a frequency spectrum F; subsequently, the similarity between the collected hologram and the reconstructed hologram E and between the frequency spectrum B and the frequency spectrum F is calculated, and the phase reconstruction is realized through a gradient descent optimization algorithm of the complex neural network. The application provides a holographic complex amplitude reconstruction method based on frequency spectrum learning of a complex neural network.

The invention discloses an angular spectrum diffraction method based on dynamic acquisition of effective information of an object field spectrum, and the method comprises the steps: dynamically extracting the effective information in the object field spectrum through a multistage threshold image segmentation algorithm, adaptively adjusting the filtering bandwidth, optimizing a sampling strategy of a transfer function, and obtaining the effective information of the object field spectrum. Therefore, the calculation complexity and the memory occupation are remarkably reduced while the calculation precision is ensured. The method solves the problems of undersampling and computing resource waste in far-field diffraction calculation of a traditional angular spectrum method, is particularly suitable for diffraction calculation of a complex light field containing a high-frequency component, and has a wide application prospect in the fields of digital holography, light beam quality analysis and the like.

A method comprises receiving image data acquired by a sensor system, which specifies an object in an object field of a vehicle, wherein the sensor system comprises a plurality of microlenses and a pixel, each microlens of the plurality of microlenses corresponding to a subpixel of the pixel, each subpixel of the pixel having a plurality of phase pixels. The method also comprises identifying a respective phase ratio of the pixel, of each of the subpixels of the pixel, and of each phase pixel of the plurality of phase pixels, and identifying, based on the respective phase ratios of each of the phase pixels, a depth of the object in the object field. The method further comprises estimating an edge of the object, rearranging the subpixels of the pixel to produce a transformed image file of the object, and producing the transformed image file for output to a viewing stack and a perception stack.

The present invention relates to a method for implementing a transaction between a sending entity and a receiving entity, defined by a form comprising a plurality of fields, the method comprising: (a) obtaining contents of the fields of the form; (b) generating a structured file representative of the transaction containing the data from the fields of the form, the structured file consisting of elementary objects belonging to categories each defined by a predefined set of standardized object fields, each elementary object being composed of blocks defining subsets of the predefined set of object fields, and of links between fields of the blocks; the step of generating the structured file comprising the transcription of the contents of the one or more fields of the form into the object fields of the structured file; (c) providing a message encapsulating the structured file; (d) extracting and processing the data from the fields of the structured file so as to implement the transaction.

The invention provides a field information management method, a field information management system and a program, which can provide high-precision ridge information. The field information management method includes the steps of: determining, with respect to ridge information indicating positions of a plurality of ridges formed in a field, whether or not the positions of the plurality of ridges indicated by the ridge information include an offset error on the basis of statistics of ridge pitches of the plurality of ridges; if it is determined that an offset error is included, correcting, for at least one target ridge included in the plurality of ridges, the position of the target ridge indicated by the ridge information in the direction in which a ridge having a larger ridge pitch from the target ridge is located among two ridges adjacent to the target ridge; and outputting the corrected ridge information.

An efficient, scalable method, system, and computer program for computing formula fields referencing dependent object fields in databases with extensible data models, particularly NoSQL systems, is provided. The method involves receiving a formula expression for a primary object's formula field that references fields from dependent objects. It includes creating detailed metadata that defines internal runtime fields for each dependent-object-field and specifies their relationships. Upon a trigger event, such as record creation or update, a dependent-object-field metadata tree is constructed and traversed. The traversal retrieves and temporarily stores dependent object field values in internal runtime fields. A formula expression is evaluated using these stored runtime values to compute the formula field value, which is then written back into the data record. This metadata-driven approach, leveraging parallel processing and caching, significantly enhances computational performance, making it suitable for large-scale, high-performance SaaS applications.

This invention belongs to the field of data processing technology, specifically relating to a Java runtime dynamic data mapping method, system, and computer device based on Web configuration and bytecode enhancement. The method includes the following steps: S1, receiving user-defined mapping rules between source and target POJO objects via a Web interface; S2, in the Java Virtual Machine runtime environment, when the classes of the source and target POJO objects are loaded, enhancing the bytecode of the classes by statically injecting a metadata cache structure into the bytecode. The metadata cache structure includes field type information and corresponding field access method handles; S3, resolving the source and target field paths according to the mapping rules to form an access chain, and based on the field access method handles, retrieving values ​​from the source POJO object field by field along the access chain and assigning them to the target POJO object to complete the data mapping. This method supports dynamic configuration on the Web client and achieves near-handwritten code performance at the Java runtime.