79 results about "Data masking" patented technology

The invention relates to the technical field of data processing, and discloses an employee performance assessment-oriented dynamic data desensitization system, which comprises a field analysis module, a query analysis module, a desensitization strategy module and a desensitization execution module, wherein the field analysis module is used for identifying a risk field combination between fields of object data; the query analysis module is used for calculating the sensitivity of each query party to each field in the risk field combination; a desensitization strategy module synchronously generates a joint desensitization strategy of each query party for the risk field combination based on the sensitivity and desensitization constraint condition of each query party for each field in the risk field combination; and the desensitization execution module is used for executing the joint desensitization strategy and performing joint desensitization of the risk field combination for each query party. According to the method, the desensitization strategy is optimized, and the efficiency and safety of employee performance assessment data management are improved.

A method is provided for unsupervised 3D modeling and geometric measurement of additively manufactured parts. The method includes obtaining near-infrared (NIR) images for a welding process for a welded part. The welded part includes welded metal and agglomerated powder particles. The method also includes generating a multi-dimensional dataset based on the NIR images, including cropping the multi-dimensional dataset to a region of interest. The method also includes detecting melted regions in image layers of the multi-dimensional dataset to obtain an output volume. The method also includes detecting agglomerated powder in the output volume to obtain melt masks. Each melt mask indicates weld pixels for a respective image layer. The method also includes applying a multi-layer predictive model to account for multi-layer weld penetration, based on the melt masks, to obtain an output data mask that represents a 3D model and geometric measurements for the welded part.

The invention relates to the technical field of sea wave height prediction, and provides a sea wave significant wave height prediction method and system fused with multi-source data, and the method comprises the following steps: correcting obtained satellite observation data based on obtained buoy observation data; carrying out preliminary fusion on the obtained reanalysis data and the corrected satellite observation data by adopting an optimal interpolation method; adding a layer of data mask to mark the position of the satellite data in the fused data; and inputting the marked initial fusion data into a VQ-VAE model, compressing the fusion data into discrete potential variables, inputting the discrete potential variables into a GPT model, and generating a prediction result of the significant wave height of the sea wave. According to the method, artificial intelligence, data assimilation and fine tuning technologies are combined, the data assimilation technology is introduced to fuse the multi-source time-space sparse marine observation data and the model simulation result, and the fine tuning technology is used in the training process to amplify the adjustment effect of the observation data, so that the precision and timeliness of sea wave prediction are improved.

Systems and methods for providing interaction recordings with removed personally identifiable information (PII) are disclosed, the systems and methods involving: extracting, from an interaction recording, using an automatic speech recognition engine, a timestamped recording transcript; identifying, using an artificial intelligence (AI) engine, time periods of the timestamped recording transcript which disclose PII; and removing, from the interaction recording, data present during the time periods which disclose PII, to produce a secure interaction recording.

The embodiment of the invention discloses an authority hierarchical control method based on dynamic desensitization and real-time monitoring and an operation and maintenance bastion host system.According to the embodiment of the invention, by integrating a database firewall and a dual-mode desensitization engine and combining authority hierarchical control and real-time semantic analysis, the data security and operation compliance in an operation and maintenance scene are remarkably improved, and the operation and maintenance security is improved. The dynamic desensitization rewrites a query statement in real time according to a user role, and limits exposure of original data; static desensitization is performed to pre-generate an isolated copy, so that direct access to a production library is reduced; based on semantic analysis and a rule engine, the response time is shortened to be within 1 second; the static desensitization library supports direct use of development and testing, and the permission application process is reduced; a rule base is dynamically updated through an Attention-GRU-Adaboost model, and the adaptability to a novel attack mode is improved.

The invention discloses a privacy protection system based on big data security and privacy calculation, which relates to the technical field of data processing and comprises a data acquisition module, a data processing module, a protection analysis module and a management analysis module. According to the method, the privacy of the desensitized data is improved while the original numerical range and precision of the desensitized data are maintained in a data desensitization mode of random disturbance, and the desensitized data can still support complex analysis and calculation due to introduction of random disturbance; and the data mask form based on differential privacy ensures that the masked data can still support effective data analysis while protecting privacy, so that the method can improve the privacy of the data, the data fusion form of homomorphic encryption and differential privacy can realize efficient and safe data fusion on encrypted data, and the data fusion efficiency is improved. The fused data has privacy and meets the requirements of complex analysis and calculation, the defects of a traditional data privacy protection system can be overcome, and the method is more intelligent and practical.

The embodiment of the present disclosure discloses a data fusion system. A specific implementation of the system includes: a key server, a computing server and at least two data collection servers, wherein each data collection server generates a data mask sequence and a disturbance perception data sequence; the key server performs obfuscation processing on each data mask to obtain at least two obfuscated data mask sequences; the key server performs obfuscation processing on at least two disturbance perception data sequences to obtain at least two obfuscated perception data sequences, and sends at least two obfuscated perception data sequences to the computing server to generate at least two target obfuscated perception data sequences; the computing server constructs a data fusion obfuscation circuit, and inputs at least two target obfuscated perception data sequences, at least two obfuscated data mask sequences and an initial perception target true value sequence into the obfuscation circuit; and generates a data fusion result. This implementation improves the security of the perception data of each data provider.

The invention is suitable for the field of audio processing, and discloses a real-time voice inflexion method, terminal equipment and a storage medium. The real-time voice inflexion method comprises the steps of generating original voice data according to a real-time dialogue audio, and determining condition features and diversity features and filling data masks according to the original voice data; determining first tensor information according to the condition features, the diversity features and the filling data mask, and determining a speaker embedding vector according to the original voice data; determining second tensor information according to the first tensor information, the speaker embedding vector and the filling data mask; and generating a target timbre audio according to the second tensor information, the speaker embedding vector and the pitch frequency of the original voice data. According to the method, the reconstruction precision of the original timbre characteristics in the voice changing process is remarkably improved, the generated voice reaches the real person-like level in perception dimensions such as timbre similarity and intonation naturalness, and the voice changing authenticity of the real-time voice is improved.

The present invention provides a high-grade cervical cell lesion risk prediction method. The method comprises: collecting an original test result of a patient, and performing data masking processing to obtain test result data; performing data preprocessing on the test result data to obtain original analysis data; separately inputting the original analysis data into a first analysis model, a second analysis model and a third analysis model to obtain a first prediction result, a second prediction result and a third prediction result; extracting, from the original analysis data, a feature value corresponding to a key feature type as target analysis data; and inputting the first prediction result, the second prediction result, the third prediction result and the target analysis data into a fourth prediction model to obtain a fourth prediction result. The method comprehensively evaluates the risk of high-grade cervical lesions by integrating various cervical test data, and can improve the accuracy and stability of high-grade cervical lesion prediction by using an ensemble learning method.

A data encoding scheme for transmission of data from one circuit to another circuit combines DBI encoding and non-DBI encoding and uses a data mask signal to indicate the type of encoding used. The data mask signal in a first state indicates that the data transmitted from one circuit to said another circuit is to be ignored, and the data mask signal in a second state indicates that the data transmitted from one circuit to said another circuit is not to be ignored. If the data mask signal is in the second state, a first subset of the data is encoded with data bus inversion and a second subset of the data is encoded differently from data bus inversion. Such encoding has the advantage that SSO noise is dramatically reduced when the encoded data is transmitted from one circuit to another circuit.

The invention belongs to the technical field of deep space exploration, and particularly relates to a multispectral image displacement depth adaptive mapping method and system based on radiometric calibration, and the method comprises the steps: obtaining original black field data with the input bit depth being N and original flat field data with the input bit depth being N; after bad pixels are shielded according to the original black field data and the original flat field data, row offset and row response are calculated; sequentially determining a global scale according to the row offset and the row response, calculating an integration slope, and generating a lookup table according to the integration slope; and acquiring real-time monitoring input, reading the M-bit output value corresponding to the real-time monitoring input according to the lookup table, and correcting and updating the lookup table according to the M-bit output value. Based on a parameterized calculation process (derivation from row bias and row response to a global scale and an integrated slope), different input bit depth and output bit depth requirements can be met by modifying input parameters, inherent limitation caused by hard coding is avoided, and the configurability of cross-platform tasks is improved.

The present disclosure is related to systems and methods for data masking. The method includes obtaining at least one original file and a hierarchical relationship that is associated with data in the at least one original file. The method includes obtaining a masking template for the data in the at least one original file. The method includes masking the data in the at least one original file based on the masking template, to generate at least one target file. The method includes storing the at least one target file based on the hierarchical relationship.

The invention relates to a data masking method and device, computer equipment, a storage medium and a program product. The method comprises the steps of obtaining a target character string to be masked and a mask rule corresponding to the target character string, wherein the mask rule comprises mask mode indication information, mask position indication information and specific characters which cannot be masked in the target character string; determining a target mask algorithm according to the mask mode indication information, and determining candidate characters in the target character string according to the target mask algorithm, the mask position indication information and the specific character; and performing mask processing on the candidate character to obtain a mask character string. By adopting the method, the mask flexibility can be improved.

The invention relates to the field of semiconductor circuit design, in particular to a control circuit and a memory, and the control circuit comprises a first signal conditioning circuit which is used for receiving a first identification signal and a second identification signal output by a mode register based on the memory; the first identification signal is used for indicating whether the memory starts a terminal data strobe (TDQS) function or not, and the memory executes the terminal data strobe function based on the valid first identification signal; the second identification signal is used for indicating whether the memory starts a data mask (DM) function or not, and the memory executes the data mask function based on the valid second identification signal; the first signal adjusting circuit is configured to shield the effective second identification signal based on the effective first identification signal, and adjust the indication signal output by the mode register to avoid the starting conflict of the TDQS function and the DM function of the memory.

This document describes apparatuses and techniques for implementing data masking with pulse amplitude modulation (PAM) encoded signals of a memory circuit. In various aspects, a data mask function of a memory controller may use an unassigned or prohibited PAM signaling state for a set of data lines to indicate data masking to a memory device for a group of data bits. For example, the data mask function may alter a PAM symbol or signal level for at least one data line from a low-voltage state (L) or mid-voltage state (M) state to a high-voltage state (H), resulting in a PAM signaling state for the set of data lines that corresponds data mask indication for the group of data bits. By so doing, the data mask function may indicate data masking for the group of bits without a dedicated data mask signal line, which may enable improved per-line memory bandwidth.

The present invention proposes a method for evaluating the prevention and control effect of karst water disasters in deep mining. Based on traditional geophysical exploration techniques and the data interpolation and masking processing technology of the MapGIS system, sequence fusion is carried out to verify the prevention and control effect. First, a qualitative evaluation is carried out on the aquifer after ground directional near-horizontal drilling and grouting transformation based on physical quantities such as the permeability coefficient and water permeability rate of the target layer to be transformed. Secondly, the MapGIS system is used to analyze and process the grouting parameters of each coordinate point to obtain the "Special Evaluation Map of Grouting Effect Zoning". At the same time, based on the "Evaluation Map of Apparent Resistivity Low-Resistance Abnormal Zone" obtained from mine electrical prospecting, double-map data masking processing is carried out to obtain the "Superimposed Analysis and Evaluation Map of Abnormal Zones". Finally, the "Comprehensive Evaluation Map of the Prevention and Control Effect of Karst Water Disasters in Deep Mining" is obtained and specific steps for eliminating abnormal zones before mining are proposed. The present invention can provide a scientific theoretical basis for the prevention and control of karst water disasters in deep coal resource mining and can effectively avoid the occurrence of water inrush disasters in deep mining.

Embodiments relate to techniques for building, configuring, triggering and executing various types of multi-party pipelines, which access and / or use shielded assets that need to exist or execute in a data trustee environment. Typically, authorized participants can build on template data privacy pipelines and other shielded assets to create other pipelines. Building blocks (such as entitlements, cross-environment pipelines and / or shielded assets managed by various collaborative smart contracts) can be used to build more complex pipelines, which can include any number of data privacy pipelines, cross-environment pipelines, input data sets, calculation steps, output data sets, permissible queries, participants and / or management collaborative smart contracts. In this way, various types of multi-participant pipelines can be built, configured, triggered and executed to generate collaborative intelligence without exposing shielded assets, underlying raw data or algorithms provided by owners, or collaborative data shielded by data trustee environments.

A system for securing patient data in IoT-enabled hospitals, consisting of: a network of IoT-enabled medical devices configured to collect and transmit patient data; a blockchain network in conjunction with the aforementioned medical devices, configured to create an immutable ledger of patient data transactions, implement smart contracts for access control, and maintain a decentralized log of data access attempts; an Artificial Intelligence and Machine Learning (AIML) module configured to: monitor blockchain activity for anomalous patterns, implement intrusion detection using machine learning algorithms, perform predictive analytics for threat detection, and execute natural language processing to identify personal data; a secure data block storage configured for: implementing PII data masking for sensitive patient information, maintaining the masked data utility for authorized users, and storing encrypted patient records; a malware detection module configured to detect unauthorized data manipulation attempts, identify exponential data propagation patterns, monitor system vulnerabilities, and track malware transmission behavior; and a defense framework configured to: implement compartmental epidemic modeling for attack analysis, calculate reproduction numbers for malware propagation, adapt security measures based on threat levels, and maintain version control of security updates.

Systems, methods, and computer program products for protecting a database against malicious activity are disclosed. A computer implemented method for protecting a database includes neutralizing an identified malicious activity performed with respect to the database during the occurrence of the malicious activity. The database may include a data masking mechanism where the neutralization of the malicious activity may utilize the data masking mechanism.

Disclosed is an array substrate, a method for manufacturing an array substrate, and a display panel. The array substrate includes a substrate layer, a common electrode layer, and a color resistance layer. A first groove and a second groove are formed on a side surface of the color resistance layer away from the substrate layer. A data masking line layer and a pixel electrode layer are formed on the color resistance layer. A part of the data masking line layer is located in the first groove, and another part of the pixel electrode layer is located in the second groove to form a first capacitance with the data masking line layer in the first groove.

The invention relates to the technical field of data processing, and discloses a volume data real-time cloud rendering method based on a Unity general rendering pipeline, and the method comprises the steps: carrying out the data preprocessing of original DICOM (Digital Imaging and Communications in Medicine) volume data on a Unity rendering platform, extracting volume data information, volume data and volume data mask information, and carrying out the analysis of the volume data; rendering the analyzed volume data to obtain a rendering result of the volume data; encoding the rendering result of the volume data in a picture format, and sending the encoded rendering result of the volume data to a mobile device; and the mobile device decodes the rendering result of the volume data in the picture format into image data and displays the image data. By means of the scheme, three-dimensional model rendering of volume data and traditional grid polygons at multiple terminals is achieved, and the realistic problem that rendering of the mobile terminal is stuck or even collapsed when MR and AR are applied to an educational training scene is solved.

A specialized computing environment that includes hardware and data security features to enable competitive organizations to co-analyze proprietary data without revealing the underlying proprietary data to unauthorized users. Proprietary data are stored in volatile memory, which may be automatically erased according to pre-stored criteria. The analysis is performed automatically by a processing unit without human intervention. Analytical results are sanitized (e.g., using data masking) to prevent the analytical result from being tracible to any particular data source. Sanitized analytical results are output without outputting the underlying proprietary data (except to users authorized to validate analytical results). The computing environment is enclosed within a secure enclosure (e.g., a steel box with a lock), does not include any peripheral devices outside the secure enclosure, does not communicate wirelessly, and does not have hardware ports accessible from outside the secure enclosure (except, in some embodiments, a wired connection for a web server).

The present disclosure provides a chip output characteristic parameter adjustment method, and relates to the technical field of semiconductors. The method comprises the following steps: writing a first test data group into a chip to be adjusted according to a data write mode corresponding to data masking, wherein at least part of the data in the first test data group is masked; reading a first read data group from the chip to be adjusted according to a data read mode corresponding to data masking; and in the case where it is determined that the chip to be adjusted has a data read-write error according to the first test data group and the first read data group, adjusting a timing parameter of a test machine to adjust the output characteristic parameter of the chip to be adjusted through the adjustment of the timing parameter. According to the embodiment of the present disclosure, the yield of the chip can be improved.

This invention provides a data processing unit, relating to the field of high-performance computing technology. The data processing unit includes a first-precision data masking processing module, a first-precision arithmetic module, and a second-precision arithmetic module. The first-precision data masking processing module is connected to both the first-precision arithmetic module and the second-precision arithmetic module. The first-precision data masking processing module includes a logic operation processing unit and a first multiplexer, with the logic operation processing unit connected to the first multiplexer. The data processing unit provided in this embodiment of the invention reduces module power consumption by using a forced mask to prevent abrupt changes in the input data of the first-precision arithmetic module.

The invention relates to a system (100) for supporting a user in a medical regeneration process and / or vitality improvement and / or lifestyle optimization by means of an output of a user-specific intention video, wherein the system (100) comprises a virtual reality data mask or virtual reality data glasses (102) and a computing device (104), wherein the computing device (104) is configured to process a provided user input (105) describing a user intention by means of a machine video generation model (106) in order to generate the intention video (108) that depicts the user intention, and wherein the virtual reality data mask or virtual reality data glasses (102) is configured to output the generated intention video (108) and thus create a visual incentive.through which the user can be supported in a mental exercise to manifest their intention.

A data encoding scheme for transmission of data from one circuit to another circuit combines DBI encoding and non-DBI encoding and uses a data mask signal to indicate the type of encoding used. The data mask signal in a first state indicates that the data transmitted from one circuit to said another circuit is to be ignored, and the data mask signal in a second state indicates that the data transmitted from one circuit to said another circuit is not to be ignored. If the data mask signal is in the second state, a first subset of the data is encoded with data bus inversion and a second subset of the data is encoded differently from data bus inversion. Such encoding has the advantage that SSO noise is dramatically reduced when the encoded data is transmitted from one circuit to another circuit.

The invention provides a hardened cement paste multi-scale direct coupling calculation method and device, and the method comprises the steps: carrying out the in-situ loading and computed tomography of hardened cement paste, generating multi-scale volume data of different stages, and carrying out the multi-phase segmentation to obtain a multi-valued volume data mask; the damage path prediction deep learning model is used to predict the damage path of the multi-valued volume data mask and divide a multi-scale grid, the finite element software is used to carry out direct simulation calculation on the multi-scale grid structure to generate a multi-scale damage result, and the high information density data obtained based on the image can be used to predict the damage path of the multi-valued volume data mask. A potential damage path is predicted through a deep learning model, modeling is performed on the basis, calculation complexity is simplified, on the premise that simulation precision is guaranteed, microstructure evolution characteristics and macroscopic mechanical property response of cement paste in the hydration process are considered, the numerical calculation cost of a multi-scale structure is effectively reduced, and the method is suitable for popularization and application. And an efficient and extensible technical path is provided for evolution process modeling of complex multi-phase materials.

The present invention discloses a sensitive data processing method, processing device, electronic device, and storage medium, relating to the field of information security. The method comprises obtaining a target application corresponding to a log involving sensitive information, wherein the log includes field data recorded by the target application's existing service interface regarding the target application's operation process, where the target application corresponds to N applications, where N is a positive integer greater than or equal to 1; loading a data masking policy into the target application, and employing the data masking policy to mask target data involving designated sensitive fields in the log. The present invention addresses the technical problem in related technologies of being unable to effectively mask sensitive customer information, which can easily lead to customer information leaks.

A metadata-driven enterprise data architecture system for automated data collection, processing, and reporting, consisting of: a centralized metadata control repository configured to store canonical enterprise data models and business semantic definitions, source-destination mapping rules and transformation logic, data quality thresholds and matching parameters, governance policies and compliance controls, data provenance relationships and audit tracking rules, security and access control configurations, planning instructions and reporting specifications; an execution and orchestration engine that is operationally connected to the metadata control repository and configured to dynamically interpret metadata definitions, automatically implements data ingestion pipelines to extract data from legacy systems, cloud platforms, application interfaces, files, and streaming sources, performs transformation operations such as normalization, enrichment, deduplication, aggregation, and format harmonization to align the ingested data with the canonical enterprise data model, applies metadata-driven data quality validation, exception handling, and reconciliation processes to ensure accuracy and consistency, and enforces metadata-defined security policies, including role-based access control, encryption, and data masking.Automatic capture of complete data provenance and audit records across all processing stages and creation of standardized operational, analytical, and regulatory reports based on metadata-defined reporting structures and business metrics; where changes to metadata definitions automatically modify the collection, processing, governance, security, and reporting behavior without requiring manual redesign of data pipelines or application code.