78 results about "Domain mapping" patented technology

The invention relates to the technical field of data processing, in particular to an LLM-based multi-source heterogeneous data intelligent fusion and self-adaptive processing method, which comprises the following steps of: receiving multi-source heterogeneous data, matching character sequences of mailbox fields and identity card number fields in records one by one by adopting a preset regular expression model, according to a preset key value pair mapping dictionary, items are uniformly converted, data records which cannot pass format verification, type conversion and value domain mapping are marked as doubt, and data records which cannot be processed or are marked as suspicious are separated. According to the method, a hierarchical processing flow is constructed, and deterministic format verification, type conversion and value domain mapping are arranged at the front end of a processing link, so that most simple data quality problems can be quickly processed with low calculation overhead. Then, numeric statistics and character string comparison are used to carry out fuzzy correction on the data, and spelling errors and numeric abnormities which cannot be covered by rules are further solved.

The invention relates to an X-ray weld defect intelligent detection method based on weld line perception and reversible domain mapping, which comprises the following steps: collecting a gray X-ray image of a weld region, and carrying out joint labeling on a weld center line track and a defect mask to construct a standardized training data set; designing a weld line sensing hybrid neural network architecture; performing end-to-end training on the network by using a joint loss function formed by detection task loss and center line consistency constraint to realize collaborative optimization of defect category discrimination and spatial positioning; and deploying the trained model in an automatic welding quality detection system, performing forward reasoning on X-ray images acquired in real time, and continuously outputting defect detection results with accurate category, position and form information in combination with a post-processing strategy of weld direction clustering. According to the invention, stable and accurate identification of slender and weak-texture weld defects under the condition of bent welds is realized, and automation and reliability of nondestructive detection of welds are remarkably improved.

The invention relates to a business data processing method and system, equipment and a medium. The method comprises the following steps: preprocessing multi-source heterogeneous cross-domain economic data to generate a standardized data stream; semantic drift in the standardized data flow is detected in real time, and a detection result is generated; semantic alignment judgment is carried out based on the detection result, and a dynamic alignment signal is generated; performing incremental training of a mapping model by using the dynamic alignment signal to generate an updated cross-domain mapping model; and finally, performing mapping conversion on the data stream based on the updating model, and outputting service data with unified semantics. By adopting the method, the semantic change in the economic data can be responded in real time, the problems of semantic drift detection lag, long model updating period and high maintenance cost in the traditional technology are effectively solved, and the accuracy and timeliness of cross-domain economic data processing are remarkably improved.

The invention relates to the field of electromagnetic environment simulation, is used for solving the problems of non-standard construction method, single construction means and inflexible adjustment means in construction of a complex electromagnetic environment, and particularly relates to an electromagnetic environment dynamic collaborative construction system based on three-domain fusion, which comprises a cognitive domain, a digital domain and a physical domain. According to the method, the cognitive domain, the digital domain and the physical domain are clearly divided, the specific task and data interaction process of each stage is determined, the communication cost and errors caused by non-uniform standards are reduced, and the quality and effect of electromagnetic environment construction are improved through simulation deduction of the digital domain and optimization of the cognitive domain; meanwhile, an optimization scheme generated by the cognitive domain can be mapped to physical domain equipment or equipment through a digital domain, a construction instruction is accurately analyzed, parameter configuration is executed, it is guaranteed that the scheme is effectively implemented in an actual physical environment, and it is guaranteed that electromagnetic environment construction can reach an expected target.

The invention relates to the technical field of Internet of Things coding, in particular to a communication infrastructure asset digital management and operation and maintenance system based on the Internet of Things, which comprises the steps of acquiring equipment output content, arranging frequency bands and interface identifiers, combining positioning information for verification, generating a unified record structure, expanding coding comparison to form an evolution number, and carrying out management and maintenance. And inserting a character to construct an intergenerational identifier, matching boundary refined region mapping, and aligning and splicing to generate an operation and maintenance identifier. According to the method, a uniform data field structure is formed through sequential combination of frequency band coverage and interface identification and fusion of spatial positioning information, a continuous equipment intergenerational relationship is constructed through splicing of evolution sequence numbers, spatial distribution levels are processed through the number of region registration and boundary rules, and the spatial positioning information is obtained. Uniform identification content is generated through splicing of the intergenerational numbers and the region identifiers, collaborative organization of communication facilities in development states, space attribution and management relations is supported, and the scheduling and management efficiency of asset data is improved.

The embodiment of the invention provides a channel state information mapping method and device. The method comprises the steps that terminal equipment receives channel state information (CSI) reporting configuration; the channel state information (CSI) reporting configuration is related to K pieces of CSI, the channel state information (CSI) reporting configuration comprises P sub-configurations, one sub-configuration in the P sub-configurations corresponds to at least one piece of CSI, and P is greater than or equal to 1 and less than or equal to K; the terminal equipment receives indication information, the indication information is used for triggering (indicating / activating) N sub-configurations in the P sub-configurations, and N is greater than or equal to 1 and less than or equal to P; and the terminal equipment determines a CSI report at least according to the CSI domain mapping sequence, wherein the CSI report comprises at least one CSI corresponding to the N sub-configurations.

The application discloses a principal transfer migration component identification method based on Riemann manifold tangent space alignment, first obtains the covariance matrix of a subject through Riemann alignment, and then projects the covariance matrix to a tangent line space matrix. Secondly, an optimal transfer mapping is obtained by using optimal transfer theory, and a source domain is mapped to an optimal transfer source domain by using the mapping matrix. Then, the mapped source domain and the target domain are converted to similar subspaces by using transfer component analysis, a learning framework is constructed, and the classification precision is improved. Finally, the proposed method is verified on two public motor imagination data sets. Compared with other transfer identification methods, the classification accuracy is greatly improved without labeling the target subject, and the time consumption of the algorithm is reduced.

This invention relates to the field of digital signature technology and discloses a quantum-hash-resistant data signature method, comprising the following steps: Step 1, obtaining the original data to be signed; Step 2, preprocessing the original data to generate standardized data blocks; Step 3, performing finite field mapping processing based on fast number theory transformation on the standardized data blocks to obtain a transformation result; Step 4, signing the transformation result using a key constructed based on a learned error problem to generate signature information; Step 5, packaging the signature information together with the original data for subsequent data verification. By introducing fast number theory transformation for finite field mapping processing of the original data, efficient transformation and standardized expression of data before signing are achieved, thereby improving the overall computational efficiency of data signature processing without sacrificing security, and is suitable for scenarios with high real-time requirements such as IoT data authentication.

A method and system to provide annotation-based domain mapping are disclosed. The method includes receiving a plurality of source domain objects and destination domain objects from a user. Further, the method includes storing the plurality of source domain objects and destination domain objects. Further, the method includes analyzing the destination domain objects to extract predefined annotations. Further, the method includes parsing the predefined annotations to extract mapping details and conditional details. Further, the method includes traversing a metadata graph generated based on the predefined annotations to identify a matching path in a source domain that correlates with a class path present in the metadata graph, and evaluating at least one condition associated with the matching path using at least one source attribute value. Further, the method includes mapping the source attribute value to at least one destination attribute value, upon satisfying the at least one condition.

This invention discloses an image semantic segmentation processing method with adaptive context information extraction, belonging to the field of image processing technology. The specific steps of the method are as follows: First, basic features in three domains—spatial, frequency, and semantic—are collected and regularized into an original set. Then, cross-domain mapping is used to generate globally interconnected and fused features. Next, based on regional attributes, the features are decomposed into low-frequency structures and high-frequency detail components, and their proportions are adjusted to extract complete contextual features. Finally, after consistency verification and optimization of the three-domain information, pixel category determination is completed, and a high-precision semantic segmentation result is output. This invention solves the core technical problems of insufficient information coordination, difficulty in balancing global structure and local details, and inability to correct information conflicts between dimensions in traditional methods through a full-chain adaptive information processing mechanism. This improves the accuracy and regional clarity of semantic segmentation, making the segmentation results more consistent with actual scene requirements.

The invention relates to a cross-domain QoS (Quality of Service) mapping method, system and equipment based on three-way decision, and a medium. The method comprises the following steps: constructing an attribute matrix by extracting key service quality attributes such as priority and delay budget of time-sensitive network data flow; carrying out weighted clustering by adopting a comprehensive weight fusing attribute dispersion and discrimination, and generating a clustering center set and a membership relationship; dividing the 5G service quality identifier into a core domain set and a boundary domain set based on a three-way decision mechanism; a dynamic weight is calculated in combination with the load residual rate and the service quality similarity, and a layered mapping decision with core domain priority is realized; dynamic remapping is triggered by closed-loop load monitoring. According to the method, the three technical problems of static mapping rule stiffness, attribute differentiation processing deficiency and contradiction between load balancing and service quality management in the industrial internet are solved, and the network resource utilization rate and the service quality guarantee capability in a high burst traffic scene are remarkably improved.

The invention discloses a key control detection method and device for a gamepad and a medium, and relates to the technical field of man-machine interaction, and the method comprises the steps: building a mapping table of a key acoustic reference file and a key region, and carrying out the continuous sampling of the vibration acoustic response of a key surface structure during the operation of a user, generating a key acoustic sampling frame set attached with a unified time identifier; comparing the key acoustic sampling frame set with a key acoustic reference file, identifying a key drop point area, and aggregating to generate a key drop point event set; and analyzing an acoustic response signal corresponding to the key drop point event set, judging a target shearing direction through an energy migration track and a phase change mode of the acoustic response signal, and binding the target shearing direction with the key drop point event set to generate a key control event set. According to the method, the over-complete dictionary associated with the key drop point area identifier is constructed based on the key acoustic reference file, and the consistency and real-time performance of complex control instruction analysis are enhanced.

The application relates to the technical field of security risk standardization management, and discloses a project intelligent management and analysis device based on security risk standardization, which comprises the following modules: a hierarchical semantic space representation model construction module, which constructs a multilevel semantic representation and outputs a hierarchical semantic tree; a meta-learning driven cross-domain mapping function construction module, which receives the hierarchical semantic tree and constructs a cross-domain mapping function to realize cross-domain knowledge transfer; a semantic hierarchical prototype network construction module, which receives the output of the cross-domain mapping function and maps a complex risk structure; a sample rapid adaptation implementation module, which realizes efficient knowledge transfer of the output of the construction module; a standardized risk knowledge base construction and application module, which receives the output of the sample rapid adaptation implementation module and realizes risk standardization and application; the application reduces the sample quantity and sample demand required for new field adaptation by combining meta-learning and a semantic hierarchical prototype network, and shortens the construction period of new field risk standardization.

This invention discloses a method and system for access network midhaul communication based on cross-domain QoS mapping and PSFP linkage. The method includes: performing system initialization and data filling processing at the CU-side TSN end to obtain encapsulated data frames; performing cross-layer semantic mapping on the encapsulated data frames and prioritizing them through flow gating normal state monitoring, flow metering normal state monitoring, and queue normal state monitoring to obtain data flow queues of different priorities; performing gating scheduling and credit-based shaping on the data flow queues of different priorities, and sending them to the DU side for data processing to realize access network midhaul communication. This invention can effectively improve the priority transmission capability of time-sensitive services and enhance the isolation between ordinary services and critical services. As an access network midhaul communication method and system based on cross-domain QoS mapping and PSFP linkage, this invention can be widely applied in the field of network communication technology.

This invention relates to the field of electromagnetic environment simulation, addressing the problems of non-standard construction methods, limited construction means, and inflexible adjustment methods in the construction of complex electromagnetic environments. Specifically, it is a dynamic collaborative construction system for electromagnetic environments based on three-domain fusion, comprising a cognitive domain, a digital domain, and a physical domain. This invention reduces communication costs and errors caused by inconsistent standards by clearly defining the cognitive, digital, and physical domains and determining the specific tasks and data interaction processes at each stage. Through simulation and deduction in the digital domain and optimization in the cognitive domain, the quality and effectiveness of electromagnetic environment construction are improved. Furthermore, the optimized schemes generated in the cognitive domain can be mapped to physical domain equipment or devices through the digital domain, accurately parsing construction instructions and executing parameter configurations, ensuring the effective implementation of the scheme in the actual physical environment and guaranteeing that the electromagnetic environment construction achieves the expected goals.

The invention belongs to the technical field of intelligent manufacturing and product configuration, and particularly relates to a binary hybrid configuration model construction and implementation method based on a cloud model and an R-T cross-domain mapping mechanism. The method comprises the following steps: firstly, performing quantitative modeling on three-dimensional features of emotion, preference and cognition of a customer by utilizing a cloud model, and generating a cloud three-parameter vector of a personalized demand of the customer; then, through an R-T cross-domain mapping mechanism, the fuzzy feature vector of the demand space is converted into technical parameter representation of a product function, a structure and an information capacity; on this basis, a binary hybrid reasoning model composed of a personalized demand rule layer and a product configuration rule layer is constructed, and unified reasoning of subjective and objective elements is realized by adopting a t-norm fusion strategy; and a cognitive level dynamic adjustment mechanism is further introduced, and the weight of the rule is adaptively adjusted according to the cognitive difference of the user, so that personalized optimization of the configuration scheme is realized. According to the invention, accurate matching between subjective requirements of customers and product configuration parameters can be realized, and the method is particularly suitable for design and recommendation systems of multi-parameter customized products such as customized household appliances, intelligent furniture and configurable industrial equipment.

The application provides a delay-Doppler transmission method, device and equipment based on continuous domain mapping. Continuous amplitude modulation symbols generated by Shannon-Kotelnikov space filling mapping are sequentially filled into a delay-Doppler domain two-dimensional grid in a column priority rule, so that the geometric neighborhood relationship of continuous mapping is maintained in the delay-Doppler domain. The characteristics that each symbol in the domain experiences approximately uniform equivalent channel gain are utilized to avoid the destruction of the continuous mapping structure by double selected fading. Meanwhile, amplitude enhancement pilots are inserted in the grid and a guard band is set, and energy threshold adaptive adjustment based on a mapping scale parameter is combined to realize channel sparsity parameter estimation, so that the channel estimation and equalization process adapt to the continuous amplitude signal characteristics, thereby realizing the organic integration of analog joint source channel coding and orthogonal time-frequency-space modulation without relying on discrete constellation modulation.

The application discloses a kind of multi-dimension KPI index quantification and performance evaluation method and system, it is related to performance evaluation technical field, including: according to the condensation reflux tooth of target performance object, the domain data of target performance object is handled with domain mapping, and domain account record is obtained;According to the normalized tooth front area humidity in domain account record, the normalized tooth gap area temperature, the normalized tooth gap area humidity, the normalized tooth gap area ventilation intensity and the normalized tooth rear area humidity, determine the thin film hanging bridge continuation wet driving amount;According to the energy consumption account data of business account data, security account data and thin film hanging bridge continuation wet driving amount, determine the structural coupling proportion;The application improves the analysis accuracy and consistency of multi-dimension data.

Methods, systems, and devices for wireless communication are described. A user equipment (UE) may receive control signaling indicating a time-domain mapping pattern between one or more random access occasions and one or more physical uplink shared channel (PUSCH) occasions. The UE may transmit one or more preambles of a random access message of a random access procedure in the one or more random access occasions in accordance with the time-domain mapping pattern. Additionally, the UE may transmit one or more PUSCHs (e.g., uplink payload transmissions) of the random access message in the one or more PUSCH occasions in accordance with the time-domain mapping pattern. In some examples, the UE may receive a random access response message based on a timing of the preamble and PUSCH transmissions.

The invention relates to the technical field of wireless communication, and provides a spread spectrum sequence generation method and device, equipment, a medium and a product, and the method comprises the steps: generating a basic sequence, and generating a password sequence or a chaos sequence; performing field extension mapping on the basic sequence to form a base sequence, and performing field extension mapping on the password sequence or the chaos sequence to form a field extension sequence; performing extension field addition operation on the base sequence and the extension field sequence to obtain an extension field addition sequence; and carrying out extension domain transformation on the extension domain addition sequence to obtain a spread spectrum sequence. According to the method, the spread spectrum sequence meeting the requirement can be generated, and the method has good correlation, long periodicity, good randomness and high safety.

This invention discloses a spatial target semantic segmentation method and apparatus based on ISAR echoes, belonging to the field of radar target recognition technology. The method first uses a trainable domain alignment module (DAM) to directly perform a learnable orthogonal transformation on the original ISAR echo without imaging transformation. While maintaining the same amount of information, the echo domain of the ISAR echo is mapped to a feature domain compatible with the mask domain of the semantic segmentation generation mask, obtaining a first feature. This first feature is then fed into a complex domain encoder for scattering feature extraction. The scattering feature is further processed by a complex domain decoder to achieve the recognition of the semantic segmentation mask. This invention differs from the traditional "image first, segment later" process, avoiding potential information loss and time consumption during the imaging stage, and achieving a direct mapping from the original ISAR echo to pixel-level segmentation.

The present application relates to big data management technical field, specifically to alliance chain driven data asset digitization filing management method and system, including the following steps: extracting filing elements, proof materials and version information from filing application, establishing filing evidence association structure and generating filing version, determining responsibility domain and evidence path according to filing evidence association structure, generating hierarchical abstract and filing commitment package according to responsibility domain, generating sub-domain verification task according to alliance chain node responsibility domain mapping, receiving verification credentials, determining filing status according to credential integrity, version consistency and element conflict, writing filing commitment package, verification credentials and filing status into alliance chain, forming difference element set after receiving change application, determining affected responsibility domain and re-verifying. The present application makes node verification results correspond to content by associating filing elements, proof materials and responsibility domain, retains unaffected responsibility domain credentials and reduces repeated verification.

This invention relates to the field of coal pile moisture content monitoring technology, specifically a hyperspectral moisture content monitoring method for coal piles based on illumination difference compensation. The method acquires hyperspectral and elevation data from a UAV, establishes a correspondence between slope and solar incidence to extract illumination information, classifies illuminated and backlit pixels based on brightness ranking, selects stable bands to extract reflectance differences, adjusts the reflectance of various pixels according to the angle segment to generate a compensation spectrum, and matches the compensation features with the measured moisture content point by point to generate the coal pile moisture content monitoring result. This invention selects reference bands based on slope aspect and solar incidence coupling and brightness differences, constructs a multi-level illumination classification to enhance illumination recognition capabilities, selects stable bands through the correspondence between illuminated and backlit areas to construct a difference sequence, determines the adjustment direction based on the angle and position to form a consistent compensation spectrum, and matches the compensation spectrum with the moisture content to achieve full-domain mapping, improving the accuracy and spatial continuity of moisture content recognition.

This invention relates to the field of automated testing. To improve the efficiency and accuracy of test result analysis, it provides a method and system for automated test result summarization and analysis. By extracting error descriptions from semantic test results and combining them with domain mapping, the error data is transformed into structured information. Then, JSON examples are constructed based on error description classification. Using a large language model, standardized prompt words are used to summarize patterns and analyze root causes of various errors. Finally, structured results containing error indexes and root causes are output. This process significantly improves the automation and efficiency of error analysis, ensures the comprehensiveness and accuracy of error coverage, and can be flexibly adapted to new application scenarios by updating domain configuration files and prompt word templates.

The application provides an optimization method and device for improving cross-domain retrieval effect, and belongs to the technical field of data processing systems under the internet industry, such as a system based on a specific computing model or a data processing system or method technology field specially used for business. The feature coding model provided by the application can cross the difference in the visual dimension between e-commerce commodity illustrations and appearance patent illustrations. The system first extracts feature vectors of text and images by using natural language processing technology, computer vision technology and a deep learning model, then realizes cross-modal mapping of images and text descriptions and cross-domain mapping between e-commerce commodity illustrations and appearance patent illustrations by using a contrast learning method, so that the similarity between different image forms can be captured, common features between e-commerce commodity illustrations and appearance patent illustrations can be effectively identified, and the accuracy of cross-domain appearance patent retrieval of an appearance retrieval recall system can be improved.

The application discloses a left ventricular myocardium curved surface registration method based on two-dimensional parameter domain mapping. The method comprises the following steps: segmenting and reconstructing a dynamic three-dimensional curved surface sequence of left ventricular myocardium from a cardiac magnetic resonance short-axis image sequence, and then performing standardization processing on the dynamic three-dimensional curved surface sequence to obtain a target curved surface model; mapping a key frame curved surface in the target curved surface model to a pre-defined two-dimensional parameter domain to obtain global deformation parameters; and mapping the remaining frames of the target curved surface model in the whole cardiac cycle to the two-dimensional parameter domain according to the global deformation parameters. The method drives the mapping process of the whole sequence by using the global deformation parameters of a key frame curved surface, can establish stable space-time vertex corresponding relationships for the curved surfaces of all time frames on the two-dimensional parameter domain, realizes time sequence alignment of the curved surface sequence in the whole cardiac cycle and normalized registration of myocardium shapes among different cases, can effectively solve problems such as large shape difference among individuals and unclear characteristics, and realizes accurate registration of left ventricular myocardium curved surfaces.

The application discloses a terahertz co-frequency interference characteristic evaluation method and system based on cross-domain mapping, relates to the technical field of terahertz wireless communication and electromagnetic compatibility, and solves the technical problems that link vulnerability is difficult to quantify and there is a lack of system-level correlation between radio frequency physical indicators and baseband demodulation performance in the prior art.The application collects power information of a receiving end under an interference-free injection and a co-frequency interference injection environment in a radio frequency power domain, calculates an interference signal ratio and a signal-to-interference-and-noise ratio, maps radio frequency power domain parameters to a modulation error ratio MER and an error vector magnitude EVM in a symbol decision domain, evaluates interference attenuation in combination with a spatial geometry variable in a spatial geometry domain, and comprehensively evaluates terahertz co-frequency interference characteristics by comprehensively considering radio frequency power domain indicators, symbol decision domain indicators and spatial geometry domain indicators.The application has good operability and reproducibility, and provides support for standardized testing, network deployment and safety boundary definition of a terahertz communication link.

The test code generation method comprises the steps that a test code generation request is received, a field label of a source field and a field mapping relation are determined according to the test code generation request, the field label of the source field is used for indicating a field to which a source code of a test object belongs, and the field mapping relation comprises a mapping relation between the source field and a target field; according to the field label of the source field and the test code generation request, assembling to obtain a code generation prompt, inputting the code generation prompt into a code generation model to obtain a test code of the test object in the source field, and then according to the field mapping relation, mapping the test code of the test object in the source field to a feature space of a target field, and obtaining a test code of the test object in the target field. According to the method, the source field and the target field are determined through self-adaptive field identification, the test requirements of different fields are understood and analyzed to generate the test codes of the source field, code mapping is performed based on the field mapping relation, and therefore the cross-field test codes are efficiently generated.

The invention discloses an intelligent analyzing and testing method and system for an IGBT (Insulated Gate Bipolar Translator) packaging structure, and relates to the technical field of packaging test.A current signal set Cur is constructed, normalized features of the current signal set Cur are extracted to form a feature set Feaa, an autocorrelation curve set COR is generated through autocorrelation operation, a periodic jitter intensity coefficient Jit is calculated, and the periodic jitter intensity coefficient Jit is obtained; the cross-domain mapping from electric signal change to mechanical loosening state is realized, and the early loosening symptom of the pin can be identified through the tiny change of the periodic jitter intensity coefficient Jit only under the conventional electrical characteristic test condition. Furthermore, by comparing with a normal jitter standard value NorJ of a normal model, a deviation ratio Rat is calculated, and an anomaly judgment set Abn is formed according to a set judgment threshold Thr, so that automatic anomaly recognition and result classification are realized. And the problems of large size, long detection delay, insufficient sensitivity and the like of external excitation equipment are avoided.