63 results about "Object structure" patented technology

Retrieval of structured tabular data in a retrieval-augmented generation (RAG) platform is described. An example method includes receiving a tabular file including structured data, extracting short and long metadata from the file, and generating a dataset agent object using the extracted metadata. A human-readable description is associated with the structured data, and the dataset agent object and metadata are stored in a metadata index. A natural language query is received through a query agent object rendered within a canvas including interconnected agent objects. A dataset agent object is identified based at least in part on metadata filtering using the natural language query and short metadata. A structured query conforming to structured query language syntax is generated using a large language model (LLM) and executed on the structured data. A response including the result set and dataset agent identifier is generated and transmitted to a downstream agent object for further processing.

The invention relates to the technical field of medical treatment, in particular to ultrasonic equipment and an image processing method. In the embodiment of the invention, an ultrasonic image of a detection part is generated according to an ultrasonic echo signal which is received by an ultrasonic probe and is reflected by the detection part; feature extraction is carried out on the ultrasonic images through encoders in multiple layers of segmentation units contained in the segmentation network; processing the multiple groups of target object structure features output by the encoder in the multi-layer segmentation unit through the decoder in the multi-layer segmentation unit to obtain a segmentation result of the target object structure in the ultrasonic image; and performing partition processing on the ultrasonic image according to a segmentation result, and performing fuzzy enhancement processing on a partition critical region to obtain a processed ultrasonic image.

Disclosed is an improved approach to manage hierarchical metadata for a database system. A hierarchical metadata structure pertaining to a hierarchical object structure of a multitenant database architecture for a plurality of tenants may be maintained where the multitenant database architecture comprising a container database (CDB) that includes a pluggable database (PDB). A request for an access to a metadata object in the hierarchical metadata structure for one or more database objects in the container database may be received. In response to the request for the access to the metadata, access to at least a portion of the hierarchical metadata structure is provisioned.

The application discloses a hypertext page rendering method and device, electronic equipment and storage medium, the method comprises the following steps: in response to the cross-platform application starting instruction, generating the hypertext page rendering request of the target application, and obtaining the web page code information of the target application corresponding to the hypertext page rendering request from the management server, the web page code information is analyzed, and the second hypertext object structure corresponding to the preset rendering frame is generated based on the first hypertext object structure in the code analysis result, the rendering is carried out based on the second hypertext object structure, and the hypertext page is obtained. The method can improve the consistency and smoothness of the hypertext page rendering on multiple platforms, so that the user can obtain the same experience when opening the hypertext page and opening the native page, and the user has no perception.

Embodiments are disclosed for a process of detecting and processing repeating structure groups of objects in a document using a digital design system. The method may include obtaining, by a page segmentation model, object information for a plurality of objects in a document. The disclosed systems and methods further comprise determining, using the object information, a plurality of object clusters based on distances between the plurality of objects. A repeating structure group of objects can then be identified using the plurality of object clusters. The disclosed systems and methods further comprise providing information indicating the repeating structure group of objects in the document

Computer system (110), comprising: a communication interface (113) configured to communicate with at least one camera, comprising a first camera (270) with a first camera field of view (272); a control circuit (111) configured, when a stack (250, 750) with multiple objects is located in the first camera field of view (272), to: receive camera data generated by the at least one camera, wherein the camera data describes a stack structure for the stack (250, 750), the stack structure being formed from at least one object structure for a first object of the multiple objects;Identify, based on camera data generated by the at least one camera, a target feature (251B, 251C, 751B) of the object structure or a target feature (251B, 251C, 751B) located on the object structure, wherein the target feature (251B, 251C, 751B) is at least one of the following: a corner (251B) of the object structure, an edge (251C) of the object structure, a visual feature (751B) located on a surface (251A, 751A) of the object structure, or an outline of the surface (251A, 751A) of the object structure; Determine a two-dimensional, 2D, region (520, 620, 720) that is coplanar with the target feature (251B, 251C, 751B) and whose boundary is defined by the target feature (251B, 251C, 751B); Determining a three-dimensional, 3D, region (530, 630, 730) defined by connecting a location of the first camera (270) and the boundary of the 2D region (520, 620, 720), wherein the 3D region (530, 630, 730) is part of the first camera's field of view (272);Determine, based on the camera data and the 3D region (530, 630, 730), a size of an occlusion region (570, 670, 770), where the occlusion region (570, 670, 770) is a region of the stack structure located between the target feature (251B, 251C, 751B) and the at least one camera (270) and within the 3D region (530, 630, 730); Determine a value of an object detection confidence parameter based on the size of the occlusion region (570, 670, 770); and performing an operation to control robot interaction with the stack structure, wherein the operation is performed based on the value of the object recognition confidence parameter; wherein the first camera (270) with which the communication interface (113) is configured to communicate is a 3D camera configured to generate, as part of the camera data, several 3D data points that specify corresponding depth values ​​for locations on one or more faces of the stack structure.

The invention provides an object pose estimation method. The object pose estimation method comprises the steps of obtaining object structure features of a target object, hand pose features of a robot hand and contact area features of the hand in contact with the target object; fusing the object structure feature and the contact area feature to obtain a first fusion feature; fusing the hand posture feature with the contact area feature to obtain a second fused feature; fusing the first fusion feature and the second fusion feature to obtain a global fusion feature; and performing pose estimation based on the global fusion features to obtain a target pose of the target object. According to the embodiment of the invention, the accuracy of object pose estimation can be improved.

The present application relates to the field of image processing, and proposes a kind of three-dimensional scene style generation method and system based on weighted style neural radiance field, including weighted fusion network, through latent style encoding and pyramid weighted fusion feature decoding, realize the effective capture of latent encoding of style and the fusion weighting of multi-scale feature, adaptively optimize style transfer effect, enhance the multi-aspect performance of generated image in object structure feature preservation, color restoration, style fusion naturalness and multi-view coherence, texture style hidden variable neural radiance field is processed by the network structure combination of basic neural radiance field network, implicit encoding network and merging output network, organically fuses the style features of three-dimensional scene geometry information and style image, then uses picture patch to sample and similarity measure loss function, retain scene texture details and multi-view consistency, the present application improves the quality and detail precision of three-dimensional scene style generation.

The application relates to the technical field of computer vision, and provides a high-stability virtual object position display method and device. In a mapping stage, the object structure of a virtual scene is acquired, and an exception handling boundary is established; in the exception handling boundary, a virtual object in the virtual scene is regarded as a general engine object, coordinate data corresponding to the general engine object is acquired based on the object structure, and a path graph is drawn according to the coordinate data; the running state of a data processing process in the exception handling boundary is monitored, if running exception is detected in any processing period, the exception data corresponding to the running exception is discarded; in a virtual scene running stage, the position information of the virtual object is acquired in the exception handling boundary, the position information is matched with the path graph, the relative position of the virtual object in the path graph is determined, and the relative position of the virtual object in the path graph is displayed. Runtime exceptions in memory reading or drawing processes are effectively intercepted and isolated.

The invention provides an open vocabulary image semantic segmentation method and system, and provides a text guide feature refining module and a structure perception guide enhancement module. Through the method provided by the invention, the semantic correlation region in the visual feature can be selectively focused, and the interference of irrelevant background noise is inhibited, so that the distinguishing capability of categories with similar texture features is effectively improved. Meanwhile, rich space information contained in the CLIP intermediate visual features can be fully mined to guide the up-sampling process of the model, the recovery capability of object structure details is remarkably improved, and the boundary of the object is described more accurately.

The invention relates to the technical field of electric energy meter data management, in particular to a data coding method, device and equipment of an electric energy meter facing object and a medium. The method comprises the following steps: S1, respectively defining an object attribute structure and a general object structure; s2, obtaining an object identifier of a target object from the received message or instruction, and searching a corresponding universal object structure in a preset object set according to the object identifier; s3, according to the general object structure corresponding to the target object, verifying the access authority of the target object attribute and checking the validity of the data source of the target object attribute; and S4, in response to the readable target object attribute and the valid data source, dynamically binding and calling a corresponding coding function through a virtual method table in the object attribute structure corresponding to the target attribute, and coding the data source according to a predetermined coding rule, so as to improve expansibility, code conciseness and maintenance convenience.

The application discloses a kind of methods for realizing Java Applet automation operation, comprising the following steps: step one: write a UDP Server, define interface element object structure, structure contains the handle that element holds, on the location of interface, element type data;Step two: write Java Plugin by Java Accessibility API, this Java Plugin is mainly loaded by JVM when starting;Step three: write Native Java Bridge, for JVM, operating system, and automation program communication, through HOOK technology mounts global mouse event, when mouse moves to specified Java Applet, call Plugin, and Java interface element object instance is reflected;Step four: construct UDP Client in Native Java Bridge, when Java interface element object is reflected, it is serialized into the same data type agreed with UDP Server, and is sent to UDP Server by UDP Client;The application realizes the automation operation of system developed with Java Applet technology, builds overall automatic platform, so that each system can be automatically connected, instead of traditional manual operation.

This application relates to the field of video measurement, providing a measurement analysis method based on video measurement. The method includes: acquiring a video of the object to be measured and a scale of object change in the video. The video includes key points, which include reference points and marker points. The normalized coordinates of the key points in multiple video frames in the image coordinate system are acquired; an origin coordinate system is constructed using the physical coordinates of the reference points in the image coordinate system as the origin, and the physical coordinates of the marker points in the origin coordinate system are determined; the physical coordinates of the key points in the image coordinate system are determined based on the normalized coordinates of the key points in the image coordinate system, the video pixels, and the object change scale; the activity characteristics of the marker points are output. This application embodiment can measure the structural state of an object by acquiring reference points and marker points, and requires less object image data, eliminating the need to acquire a large number of object activity images, thus significantly improving the efficiency of object structural state measurement.

A computer-implemented method for structural optimization of an object. The method includes iteratively performing the following steps: receiving first structural data representing a first shape of the object; when a first condition is met, determining first calibration physical data representing a physical state of the object having the first shape based on the first structural data by a numerical solver; when the first condition is not met, determining first physical data representing a physical state of the object having the first shape based on the first structural data, reference structural data representing a reference shape of the object, and reference physical data representing a physical state of the object having the reference shape by the first neural network model; and updating the first structural data of the object based on the first physical data to obtain updated first structural data representing an updated first shape of the object.

The invention discloses a deserialization utilization chain detection method based on static analysis and a large model. The deserialization utilization chain detection method comprises the following steps: obtaining a deserialization entry in a java application program to be detected; identifying all reachable paths from the deserialization entry to the dangerous function call point from the Java application program, and recording the reachable paths as utilization chains; analyzing the data dependence of the utilization chain, and constructing an AMethod data structure; deducing an object structure chart based on an AMethod data structure; lLM is used as a miniature JVM, and partial symbolic execution and semantic verification are performed on a utilization chain in combination with an inferred object structure diagram. According to the method, the Java deserialization utilization chain which is complete in structure and feasible in semantics can be accurately identified from massive codes, and the problems of path explosion and false report and missing report are effectively solved.

The invention discloses a sample generation method, a network model training method and a related device. The method comprises the following steps: acquiring a first RGB image; inputting the first RGB image into a first network model to obtain a first depth image output by the first network model; the first depth image has absolute depth information; obtaining a first point cloud according to the first RGB image and the first depth image; performing spatial transformation on the first point cloud to obtain a second point cloud; wherein the view angle corresponding to the second point cloud is different from the view angle corresponding to the first point cloud; and projecting the second point cloud to the image plane to obtain a second RGB image, and taking the first RGB image and the second RGB image as a training sample pair. Through the above mode, RGB images of different visual angles can exist in the training sample pair, and a multi-visual-angle training strategy is introduced during subsequent training of the network model, so that the geometric consistency of network model prediction is enhanced, and the prediction capability of a shielding area, boundary details and a small object structure is improved.

Device (100) for determining the image quality of at least one image for a test specimen (105), wherein the device (100) has the following features: - at least one projection unit (115) for emitting light (120) in the direction of the test object (105) in order to project at least one luminous and / or illuminated object structure (300) onto the test object (105); - optical receiving unit (110) for receiving light rays (130) of the light (120) transmitted through or by the test object (105) or reflected, which represent at least one image of the projected object structure (300), wherein the receiving unit (110) comprises an optical device (135) and an optical detector (140) and wherein the receiving unit (110) is adjustable or variable in its spectral sensitivity; - a mounting unit (145) for holding the test specimen (105), wherein the mounting unit (145) is arranged between the projection unit (115) and the optical receiving unit (110); and - a computing unit (150) for simultaneously evaluating a first light parameter (825), representing at least one optical light parameter, and a second light parameter (830), representing at least one colorimetric and / or photometric light parameter, of light rays (130) of the light (120) transmitted through or on the test object (105) and received using the receiving unit (110), in order to determine the image quality of the at least one image for the test object (105), wherein the computing unit (150) is connected to the projection unit (115), the receiving unit (110) and / or the mounting unit (145).

The invention discloses an object structure reconstruction method based on a single interferogram. The method comprises the following steps: acquiring the amplitude and phase of Fraunhofer diffraction light from an interferogram of a microstructure to be measured by adopting a Fourier transform method; unwrapping the phase by adopting a proper unwrapping algorithm to obtain an unwrapped phase; performing quadratic fitting on the unwrapped phase to obtain a phase factor of Fraunhofer diffraction light of the unwrapped phase; and performing two-dimensional inverse Fourier transform on the ratio of the Fraunhofer diffraction complex amplitude of the microstructure to be measured to the phase factor to realize reconstruction of the microstructure to be measured. According to the method, rapid restoration of the complex microstructure is realized based on the single interferogram, the phase factor can be extracted from the single interferogram, and accurate reconstruction of the microstructure can be realized only through single exposure; the reconstruction efficiency is improved; in addition, the interference pattern acquisition process is simplified, the object plane position has a large adjustment range when the interference pattern is acquired, and the method shows significant potential in the aspect of promoting the compactness of an interference system.

The invention provides a product generation method, device and equipment and a computer program product, and relates to the technical field of computers and Internet. The method comprises the steps of obtaining a business intention input by a target object; identifying the service intention, and determining a product function, a product access mode and a product coverage area; matching CFS objects in a PSR model library through the product access mode and the product function, and determining a first target CFS object which simultaneously meets the product function and the product access mode; screening in the first target CFS object through the product coverage area, and determining a second target CFS object covering the product coverage area; generating a product object structure of the target product according to the second target CFS object; and generating a product attribute of the target product according to the subordinate attribute union set of each CFS object in the product object structure so as to open the target product based on the product object structure and the product attribute. According to the embodiment of the invention, end-to-end automatic conversion from the service intention of the user to the product configuration can be realized.

The application relates to a chemical object structured recognition method and system based on image analysis, and relates to the technical field of chemical structure recognition. The method comprises the following steps: acquiring image data sets of chemical objects; constructing an image analysis model comprising a backbone network, an adapter hybrid encoder, a query selection module and a decoder; the backbone network is used for feature extraction to obtain backbone features; the adapter hybrid encoder is used for feature coding to obtain fusion coding features; the query selection module uses an uncertainty minimization query selection strategy to perform feature query to obtain an object query set; the decoder inputs a feedforward neural network after multi-layer iterative optimization of the object query set, and outputs a recognition result; and a chemical object image to be recognized is input into the trained image analysis model to obtain a recognition result. The application completes the recognition and structured reconstruction of multiple types of structure elements in a unified framework, and improves the recognition robustness in a complex image scene.

High-precision size extraction can be performed on a complicated shape generated in semiconductor processing. A contour line of an object structure is described by setting a start point (110) and an end point (111) on the circumference of a pattern formed by combining a plurality of ellipses (100), and using a curve (120) of one stroke on the circumference connecting the two points as a shape model.

The application relates to the technical field of auxiliary perception, in particular to an auxiliary system and method for perceiving a target, which comprises the following steps: delimiting a haptic perception field; establishing a target object model of a target to be perceived; when the target to be perceived is a two-dimensional structure, forming a target exploration section and acquiring virtual coordinate information; when the target to be perceived is a three-dimensional structure, forming a target exploration shell layer with a preset thickness and acquiring virtual coordinate information; acquiring position information of a haptic perception part of a user; if the position information is located in the range of the target exploration section or the target exploration shell layer, a signal for perceiving the target is fed back to the user; if the position information is located in the range of the target object model except the target exploration section or the target exploration shell layer, a haptic guiding signal is fed back to the user. Through the target exploration section, the target exploration shell layer and the guiding area, the application can ensure the explorability and reduce the phenomenon of haptic form distortion, so that the user can more accurately understand the two-dimensional image contour and the three-dimensional object structure.

The application discloses a rule-driven power control system configuration parameter version management method in the technical field of power automation and industrial software, which comprises the following steps: constructing a first version snapshot based on a first structured parameter document and a first configuration file set; grouping and aligning the structured parameter documents in the first version snapshot and pre-constructed historical version snapshots according to node feature keys to generate object-level difference results and attribute-level difference results; performing file-level comparison on the configuration file sets in the first version snapshot and the pre-constructed historical version snapshots to generate file-level difference results; and summarizing the object-level difference results, the attribute-level difference results and the file-level difference results to output unified difference results corresponding to the first version snapshot and the historical version snapshots. The application can alleviate the technical problems of the prior art, such as scattered parameter sources, version solidification relying on manual operation, and difficulty in unified comparison of object structure changes and file changes, thereby affecting the management efficiency.

The invention belongs to the technical field of remote sensing image processing, and relates to a remote sensing image self-supervision pre-training method based on multi-view consistency constraint, and the method comprises the steps: sequentially carrying out the multi-scale cutting strategy and data enhancement operation of a remote sensing image, and generating a multi-scale view set containing a global view and a local view; training a student network by using a dual alignment loss function to obtain a remote sensing representation pre-training model adapted to a downstream task; wherein the double alignment loss function is composed of a local alignment loss function used for constraining the consistency of local view and global view features of the same remote sensing image in spatial representation and a local alignment loss function used for constraining the uniformity of the local view features in the same remote sensing image; according to the method, the multi-scale invariance learning ability is enhanced, the robustness of the model to a complex ground object structure is improved, and the method can be applied to tasks such as remote sensing classification, detection, segmentation and change detection.

The application discloses a low-copy stream parsing and memory reuse method and system for real-time messages, which does not take the premise of parsing a copy of the whole frame after receiving the message, but gradually promotes the parsing process according to the field relationship around the cache area where the original message is located; the semantic result of the field required by the current service is extracted, and only the parsing position is updated or the boundary is confirmed for the field in the non-current target range, and the corresponding complete object structure is not generated; when the result needs to be saved, output or transferred across modules away from the original cache area, the relevant target data is executed for limited range data copying; meanwhile, the result container, temporary structure and buffer unit generated in the parsing process are state-reset and recycled. The application can reduce the number of copying in the message parsing process, reduce the frequency of dynamic memory allocation and release, inhibit the redundant generation of intermediate objects, and improve the parsing efficiency and memory use stability in the continuous input scene.

There are provided systems and methods for configuration-driven efficient transformation of formats and object structures for data specifications in computing services. A service provider, such as an electronic transaction processor for digital transactions, may utilize different computing services that implement rules and artificial intelligence models for decision-making of data including data in production computing environment. Different services may process data in different data formats and structures. However, transformation of data between different services, such as a gateway service that may receive data processing requests and / or data objects and downstream services that may process such requests and objects, may take significant time and resources. A configuration-driven data transformation platform may intelligently create code for and select from transformers that may be used for data transformations. When selected, the transformers may transform data between services faster and more efficiently by being specifically selected based on past performances and code configurations.

Embodiments of the present application disclose a kind of construction engineering drawing jump link automatic generation method, device, equipment and medium, involve jump link generation technical field.The method includes: receiving drawing file, identifying jump source and jump target from the drawing file;Based on the jump source, generate jump source object and generate jump target object based on the jump target;From all the jump target object, determine the target jump target object matched with the jump source object;Establish the jump link between the jump source object and the target jump target object.The present application solves the core problems of low efficiency, insufficient accuracy and maintenance difficulty of prior art by integrated process of automatic identification, object structured construction, intelligent matching and automatic link establishment, provides efficient, accurate and sustainable maintenance drawing correlation navigation technology support for large engineering projects.

The present disclosure provides an image enhancement method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product, and may be applied to various scenarios such as a cloud technology, artificial intelligence, smart transportation, and assisted driving. The method includes: obtaining a latent variable of a to-be-enhanced object image, and adding noise to the latent variable to obtain a noisy latent variable of the object image, the object image being an image of a target object; extracting an object structural feature of the target object in the object image; denoising the noisy latent variable with reference to the object structural feature, to obtain a denoised latent variable of the object image; and performing image reconstruction on the denoised latent variable to obtain a first enhanced object image of the object image.

This invention provides a writing instrument, keychain, charm, or other liquid-moving object structure in which a liquid is sealed inside a transparent body and an ornament moves within the liquid. [Solution] This liquid-moving body structure comprises a main body having a hollow cylindrical transparent portion 3 in which oil, water, or other liquid is sealed; a locking portion provided longitudinally on the inner surface of the transparent portion of the main body; a background plate 5 positioned circumferentially by the locking portion inside the transparent portion of the main body; and a float body disposed in the space formed between the background plate and the transparent portion of the main body, and capable of moving within the liquid. When the background plate 5 is inserted into the transparent portion 3, the long edge 5a of the background plate 5 is positioned between a pair of convex portions 4 with a narrow pitch, so the background plate 5 does not rotate circumferentially. Conventional writing instruments do not have a fixed background plate inside, so if there is a difference between the dimensions of the background plate and the inner diameter of the main body, the position of the background plate may not be fixed.