80 results about "Derived Data" patented technology

The invention discloses a data security management method and system based on AI drive, and relates to the technical field of artificial intelligence and data security, and the method comprises the steps: generating a fusion feature vector through a multi-modal feature extraction and semantic alignment mechanism; constructing a blood relationship knowledge graph, performing graph embedding calculation on the blood relationship knowledge graph to obtain a graph embedding vector, and calculating a blood relationship propagation sensitivity score; generating a sensitivity evaluation result through a dynamic decision neural network in combination with context features of the data access request; generating and executing an access control strategy according to a sensitivity evaluation result, and triggering cascade label evaluation on downstream derivative data along a blood relationship knowledge graph; and selecting samples based on confidence, submitting the samples to manual auditing, and executing incremental learning updating on model parameters according to auditing feedback. According to the method, the sensitivity identification accuracy of cross-modal data is improved through multi-modal semantic fusion, and automatic cascade updating of sensitive tags is realized through a blood relationship propagation mechanism.

The invention discloses an intelligent ticket business recommendation method and system based on dynamic flight data, and relates to the technical field of intelligent ticket business recommendation, the intelligent ticket business recommendation method based on the dynamic flight data comprises the following specific steps: step 1, based on basic data, associated data and derivative data contained in a dynamic flight, establishing a dynamic ticket business recommendation model; the method comprises the steps of collecting multi-dimensional dynamic flight data and completing data preprocessing, 2, constructing user portrait data by integrating user real-time preferences and basic demands, and dynamically updating the user portrait data based on fixed duration or behavior recognition, and 3, based on the real-time user portrait and flight dynamic data as input, adopting a random forest algorithm to identify the flight data in real time. And step 4, setting a comprehensive recommendation score based on the feature scores, determining flight ticket business data to be matched, and screening data with high matching degree with the user as recommended ticket business data, and by capturing user demand changes in real time, it is ensured that recommended contents are highly matched with user demands.

The invention discloses an image transmission system for visual communication display, and relates to the technical field of data management.The image transmission system collects and manages multi-dimensional information data of all credit enterprises through a data management unit, and a behavior analysis unit analyzes behaviors of authorized users; the data management unit generates a reading strategy of each dimension, and the enterprise portrait unit generates portrait analysis of each credit enterprise based on different dimensions. In the process of comparing and generating the reading strategy of each dimension, a plurality of character data are intercepted from the dimension data table corresponding to the dimension with relatively high click frequency and relatively large data capacity; according to the method, the high-frequency access data is stored in the independent table to generate the derivative data table of the corresponding dimension, in this way, the database cache can be more effectively utilized, and more common data can be ensured to be reserved in the cache by separating the high-frequency data, so that the performance is improved, the contention for a large table can be reduced, and the possibility of lock contention is reduced.

This invention relates to the field of communication data processing, specifically to a method and system for ship identification in multi-channel communication. It includes: acquiring historical multi-channel communication data; determining batch camouflage verification data based on camouflage verification data; acquiring a batch ensemble classifier and a local ensemble classifier; determining first derived data and second derived data based on the batch camouflage verification data and normal verification data; determining the batch camouflage verification data with updated weights based on the first and second derived data; determining an overall ensemble classifier; acquiring target multi-channel communication data; determining target batch data from the batch camouflage verification data with updated weights based on the target feature vector; and determining the detection result corresponding to the target multi-channel communication data based on the target batch data and the overall ensemble classifier. This invention can improve the accuracy of ship identification.

Disclosed are methods comprising determining experimental data associated with one or more monoclonal antibodies (mAbs), determining computationally-derived data associated with the one or more mAbs, wherein the computationally-derived data comprises one or more computational parameters weighted based on accessible surfaces (ASAs) of one or more residues of the one or more mAbs, determining, based on the experimental data and the computationally-derived data, a plurality of candidate predictive models, determining an optimal predictive model from the plurality of candidate predictive models, and outputting the optimal predictive model. 20 26 20 53 60 07 J ul 2 02 6 A B S T R A C T D i s c l o s e d a r e m e t h o d s c o m p r i s i n g d e t e r m i n i n g e x p e r i m e n t a l d a t a a s s o c i a t e d w i t h o n e o r 2 0 2 6 2 0 5 3 6 0 0 7 J u l 2 0 2 6 m o r e m o n o c l o n a l a n t i b o d i e s ( m A b s ) , d e t e r m i n i n g c o m p u t a t i o n a l l y - d e r i v e d d a t a a s s o c i a t e d w i t h t h e o n e o r m o r e m A b s , w h e r e i n t h e c o m p u t a t i o n a l l y - d e r i v e d d a t a c o m p r i s e s o n e o r m o r e c o m p u t a t i o n a l p a r a m e t e r s w e i g h t e d b a s e d o n a c c e s s i b l e s u r f a c e s ( A S A s ) o f o n e o r m o r e r e s i d u e s o f t h e o n e o r m o r e m A b s , d e t e r m i n i n g , b a s e d o n t h e e x p e r i m e n t a l d a t a a n d t h e c o m p u t a t i o n a l l y - d e r i v e d d a t a , a p l u r a l i t y o f c a n d i d a t e p r e d i c t i v e m o d e l s , d e t e r m i n i n g a n o p t i m a l p r e d i c t i v e m o d e l f r o m t h e p l u r a l i t y o f c a n d i d a t e p r e d i c t i v e m o d e l s , a n d o u t p u t t i n g t h e o p t i m a l p r e d i c t i v e m o d e l .

This invention discloses a method for processing multimodal data acquisition in intelligent manufacturing systems, relating to the field of industrial data governance technology. The method includes: acquiring multimodal data streams; segmenting raw data blocks and standardizing and encapsulating them to generate metadata records; establishing time indexes, batch indexes, and process indexes; hashing the metadata records to generate content addresses and writing them to object storage; recalculating the hash and comparing the content addresses to complete consistency verification and writing the results to a commit log table; generating operator records for successfully committed data blocks and hashing them to obtain operator addresses; registering lineage edges to form directed acyclic lineage relationships; generating leaf lists according to a preset range and aggregating them to obtain root digests; verifying content addresses object by object based on the leaf lists and root digests; replaying and recalculating to generate replay-derived data blocks; comparing them to generate audit records and storing them. This invention ensures continuous monitoring of data quality during big data acquisition through the replay and recalculation processing of directed acyclic lineage relationships.

This application discloses a method, system, device, and computer medium for generating 3D models of urban rail transit, relating to the field of digital twin modeling and 3D visualization technology for urban rail transit. The method involves acquiring diverse and heterogeneous data of urban rail lines, including 2D design drawings and derived data; processing the diverse and heterogeneous data to generate a basic dataset for the urban rail lines; acquiring user-defined configuration data for the urban rail lines; integrating the basic dataset and the user-defined configuration data to obtain a target dataset for the urban rail lines; identifying 3D model elements matching the target dataset for the urban rail lines from a pre-set model library; and rendering the 3D model elements according to the target dataset to generate a 3D model of the urban rail lines. This method ensures that the generated 3D urban rail models meet user needs, provides diversity and flexibility in model construction, improves model scalability, reduces the degree of human intervention, and enhances the efficiency of urban rail modeling.

The invention provides a radio pulsar searching method, system and equipment, and the method comprises the steps: obtaining observation data of a radio telescope, and carrying out the processing of the observation data, so as to generate a plurality of groups of time series data corresponding to a plurality of dispersion quantity channels; performing staged periodic signal search on each group of time sequence data, and processing each group of time sequence data or derived data formed by each group of time sequence data according to a generated quasi-period to generate feature data of a plurality of candidate bodies; inputting the feature data of the plurality of candidate bodies into a pre-trained classification model to obtain a classification result representing the credibility of the plurality of candidate bodies as a target signal; and obtaining a comprehensive score of the plurality of candidate bodies, and sorting the plurality of candidate bodies according to the comprehensive score to generate a pulsar candidate body list.

The registration machine is configured to derive a data key by using a plaintext word representing a word which is not encrypted, create encrypted data obtained by encrypting, by using the derived data key, plaintext data representing data which is not encrypted, distribute the data key to a plurality of shares, and encrypt the plaintext word and the shares with searchable encryption to create an encrypted word. The analyzer is configured to encrypt, with the searchable encryption, a plaintext query representing a query which is not encrypted to create an encrypted query. The provision server is configured to acquire the created encrypted word and the created encrypted data to register the encrypted word and the created encrypted data in a database, acquire the created encrypted query to compare the created encrypted query with the registered encrypted word, and acquire the shares if a comparison result indicates a match.

The invention discloses a data desensitization method and device, a storage medium, electronic equipment and a program product, and relates to the field of financial science and technology and the field of information security, and the method comprises the steps: constructing a blood relationship dependence graph based on a data processing link; determining the blood relationship dependence intensity of the derivative data on the original sensitive data according to the blood relationship dependence map, wherein the blood relationship dependence intensity represents the probability of obtaining the original sensitive data after leakage of the derivative data; determining the desensitization intensity of the target business data according to the sensitive field in the target business data, the scene identifier and the sensitivity level of the target business data and the blood relationship dependence intensity, and then determining a desensitization strategy according to the desensitization intensity; and performing desensitization processing on the target business data according to the desensitization strategy, and outputting the desensitized target business data. According to the method and the device, the technical problem of high desensitization leakage risk caused by incapability of effectively tracking and identifying derivative sensitive data in a desensitization technology in the prior art is solved.

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program retrieves a data object associated with a defined category. The program further determines a subcategory of the defined category associated with the data object. The program also determines a set of machine learning models based on the subcategory of the defined category associated with the data object. The program further uses the set of machine learning models to determine a first set of data values. Based on the set of data values, the program also derives a second set of data values associated with the data object.

This invention discloses an AI-based data management system and method for production machinery operation, belonging to the field of industrial data management technology. The method includes: real-time acquisition of raw time-series data and derived data during the operation of production machinery, and extraction of data feature information; construction of a data value assessment model to score the total value of the data and predict access popularity, generating storage tags; construction of a data hierarchical decision model based on the storage tags, comprehensively analyzing real-time data access patterns, storage costs, and lifecycle stages, generating dynamic hierarchical instructions to dynamically allocate data to corresponding storage levels; real-time monitoring of data access patterns, dynamically adjusting storage tags, and triggering data migration operations to optimize storage performance and access efficiency. This invention improves the access speed of critical data and reduces the storage cost of low-value data through AI-driven dynamic data hierarchical storage.

A method for restoring missing sampling points in an array spectrometer leverages the advantages of Fourier interpolation. By adding high-frequency zero values ​​in the frequency domain, it reduces the sampling interval of spectra without missing points, thus increasing the amount of sampled data. In principle, if the original data has sufficient sampling density, Fourier interpolation offers higher accuracy compared to local interpolation. This invention proposes utilizing the distribution characteristics of spectral peaks to reset the sampling density of the original data. After meeting the interpolation prerequisites, it extracts higher-density Fourier interpolations to compensate for the sampling deficiencies in the original data, obtaining estimates with higher accuracy than linear interpolation and spline interpolation. The benefits of this invention are twofold: firstly, it obtains higher-accuracy completed values; secondly, because it does not alter the frequency distribution characteristics of the spectrum, it ensures the processing accuracy of the derived data.

The application relates to the technical field of data storage, and discloses a multi-user storage docking method of an AI platform and an AI system. The method comprises the following steps: monitoring data access of an AI task to generate an I / O image; combining context quantization of the AI task to generate a future access intention; when the intention meets a preset optimization condition, generating an asynchronous optimization task of a specified source physical storage system and a target physical storage system; and executing the task, performing in-transit calculation in the process of data transmission from the source system to the target system to generate derived data and write the derived data into the target system. The system comprises a monitoring unit, a prediction unit, a task generation unit and an execution unit. Through prediction and response of the future access intention, the application realizes data self-adaptive optimization and seamless docking transparent to the AI task, can significantly reduce data access delay on the premise of not interrupting business, and improves system resource utilization efficiency.

Embodiments of the present application provide a data usage updating method, device and system, which can improve the accuracy of data usage statistical results. The method comprises: a user plane function entity receiving a derived data packet of a first downlink data packet from an access network device, wherein the derived data packet is obtained according to the first downlink data packet, and the derived data packet comprises a first identifier; the user plane function entity determining, according to the first identifier, that the first downlink data packet is a discarded data packet; and the user plane function entity sending data usage updating information to a session management entity, wherein the data usage updating information is used to deduct the data usage of the first downlink data packet.

The application discloses an intelligent selection and calculation method of a current and voltage transformer of a power station, and particularly relates to the field of power electronics, and comprises basic data acquisition and input, derived data calculation, index modeling and intelligent selection decision. The application realizes adaptive adjustment of selection parameters of the transformer by dynamic data acquisition and real-time calculation model, and effectively improves equipment matching precision under complex working conditions. Based on a multi-dimensional index fusion evaluation system, the application breaks the isolated decision limit of traditional item selection, achieves optimal control of the whole life cycle cost of the equipment, adopts an intelligent scoring model and an automatic decision scheme driven by a rule engine, replaces artificial experience judgment by standardized evaluation indexes, significantly improves selection efficiency and objectivity, and ensures the reliability of protection action while taking into account the three targets of measurement precision maintenance and economic optimization.

A data transformation system for implementing reproducible and consistent data transformations in multiple execution contexts (batch, streaming, etc.) where the transformation function / logic initially acts on historical raw data to produce derived data to train a machine learning model. When the model is trained and deployed to handle streaming event data, the same transformation is reused to transform streaming data into the appropriate derived data for the model scoring, and later for a refit of the model.

The invention discloses a data asset management system based on multi-source heterogeneous data fusion, which belongs to the technical field of data management, and comprises the following modules: a database security judgment module used for obtaining a database security state; the data asset protection regulation and control module is used for obtaining a data asset protection level; the data recovery module is used for recovering abnormal data and updating downstream data; the global data traceability tracking module is used for generating a recovery judgment instruction; the computing resource management module is used for adjusting the execution state of global derivative data recovery processing; the data asset assessment secondary adjustment module is used for carrying out secondary adjustment on the execution interval of data asset security assessment, and the problems that in the prior art, due to the fact that a scientific research database is maliciously attacked, source data is maliciously tampered, and the source data is continuously transmitted in the data sharing and multiplexing process; and the problem that the source derived data is continuously polluted is solved.

To provide a system and a method for executing information processing related to data representing information while keeping the information secret by encryption.SOLUTION: In a secret information processing system including a registration machine, an analyzer, and a providing server connected via a network, the registration machine derives a data key by using a plaintext word, creates encrypted data obtained by encrypting plaintext data by using the derived data key, distributes the data key to a plurality of shares, and creates an encrypted word by encrypting the plaintext word and the shares by searchable encryption. The analyzer encrypts a plaintext query with searchable encryption to create an encrypted query, and the provision server acquires an encrypted word and encrypted data, registers the encrypted word and the encrypted data in a database, acquires the encrypted query, compares the encrypted query with the registered encrypted word, acquires a share when a comparison result is a match, restores a data key when the acquired share is a certain number or more, and decrypts the encrypted data into plaintext data using the restored data key.SELECTED DRAWING: Figure 7

To provide a data evaluation system, data evaluation method, and program that can evaluate data that does not have an explicit relationship with other data. [Solution] The data evaluation system according to this disclosure comprises a management unit that manages the history information of one or more data to be evaluated; an extraction unit that extracts related information of the history data, including at least one of the source data or derived data of the data to be evaluated, based on the history information; and an evaluation unit that evaluates the data to be evaluated based on the extracted related information.

Artificial intelligence (AI) oversight may be added to a multiparty engagement, such as a conference between devices having user interfaces. The AI may apply visual indicators, e.g., informational elements, recommendations, or other data, on one or more user interface. Visual indicators assist with presenting or participating in a conference. Visual indicators may highlight, e.g., AI-determined attributes of participants in the conference. Attributes may be derived physiological characteristics of participants, such as mood, apparent interest, paying attention, as well as AI-derived data from analyzing data sources, such as data about the participant, past engagements, time zone, name / title and other information to facilitate interaction with the participant. The AI may also review data for past deals, resume, project plans, social media, customer relationship manager data, and the like and develop models to allow it to monitor a conference and provide recommendations to facilitate conference goals.

This application provides a method, apparatus, and data measurement system for determining thread parameters. The method includes: determining a first target position and the corresponding parameter type of the target parameter based on the measured parameters, wherein the parameter type includes raw data and derived data; when the target parameter is raw data, determining the measured parameters as target parameters and storing them in a corresponding second target position, wherein the second target position is the storage location of the target parameter; when the target parameter is derived data, substituting the measured parameters into a corresponding target calculation formula to calculate the target parameter and storing it in the corresponding second target position, wherein the target calculation formula is a preset calculation formula corresponding to the target parameter in a preset formula group. This method solves the problem of low efficiency and low accuracy in the prior art where thread parameter measurement is done manually.

[0006] Methods and systems for generating an immune profile for a subject are described. Optionally, the methods include contacting at least a first aliquot of a sample from the subject with at least a first immunophenotyping panel to fluorescently label cells contained in the sample; processing the fluorescently labeled cells using a full-spectrum flow cytometer to generate fluorescence intensity data or derived data for the fluorescently labeled cells from the sample; providing at least a subset of the fluorescence intensity data or derived data for the fluorescently labeled cells as input to an ensemble machine learning model configured to process the data and classify individual cells as belonging to one of a plurality of distinct immune cell subpopulations; and outputting a total cell number or cell frequency for each of a plurality of distinct immune cell subpopulations in the sample as part of the immune profile for the subject.

This application provides an automatic mapping method and system for lunar impact crater micromorphology, belonging to the field of image data processing technology. The method involves acquiring a candidate raster dataset, including lunar digital terrain data, lunar image data, and terrain-derived data; the terrain-derived data includes multiple terrain-derived factors; filtering the candidate raster dataset to determine the optimal feature combination; combining the optimal feature combination with the labels of impact crater micromorphology subclasses to construct an impact crater micromorphology subclass dataset; inputting the impact crater micromorphology subclass dataset into a pre-built deep learning model for training to obtain a target model; and using the target model to automatically extract impact crater micromorphology subclasses across the entire lunar surface, thereby completing the mapping of the entire lunar landscape. This solution alleviates the current problem of insufficient efficiency in extracting impact crater micromorphology subclasses primarily through manual extraction, providing the possibility for high-precision and rapid mapping of the entire lunar landscape.

In order to provide a method for detecting changes in behaviour and / or changes in properties of technical systems, by means of which in particular physical changes in behaviour or changes in properties of parts or components of the technical system can be detected, a method (100) for detecting changes in behaviour and / or changes in properties of technical systems (10) is proposed, wherein: state data relating to at least one component (12) of a technical system (10) are received and / or queried by a data processing device (17) of the technical system (10) via a communication bus (16); the state data and / or data derived from the state data by the data processing device (17) are transmitted via a communication network (22) to an external computing device (19); the external computing device (19) determines, from the state data and / or the derived data, whether a change in state of the at least one component (12) over time has occurred, and compares the change in state over time with a predetermined criterion; and the computing device (19) determines a change in behaviour and / or change in properties of the technical system (10) if the change in state over time satisfies the predetermined criterion.

Systems, methods, and computer-readable media are provided for generating natural language project summaries via large language models including deterministically derived data value narratives. A computer-implemented method includes processing a first input configuring data stored in association with a plurality of fields, generating a narrative for a project, and causing display of the narrative in a report for the project. The narrative is generated by applying one or more deterministic operations to derive one or more values for the project based at least in part on at least one field of the plurality of fields, based at least in part on the configured data, generating a prompt, prompting a large language model with the prompt to generate a result, and storing the result as the narrative for the project. The prompt includes the one or more derived values and a context comprising the project for which a narrative is being generated.

A system that performs calculations on encrypted data has a registry machine, an analyzer, and a delivery server connected via a network. The registry machine derives a data key from a plaintext word, generates encrypted data obtained by encrypting plaintext data using the derived data key, distributes the data key to a multitude of shares, and encrypts the plaintext word and shares using a searchable cipher. The analyzer then uses this searchable cipher to encrypt a plaintext query.The deployment server is configured to capture the encrypted word and the encrypted data and register them in a database, to capture the encrypted query to compare it with the encrypted word, and to capture the shares. If a comparison result shows a match, and if the number of captured shares is a certain number or more, to reconstruct the data key that has a correspondence relationship with the multitude of shares, and to use the reconstructed data key to decrypt the encrypted data into the plaintext data.

The application provides an ecological resource intelligent credible data element model establishment method, including: obtaining natural ecological basic data; obtaining natural ecological derived data, the natural ecological derived data including ecological tourism description metadata and leisure and health care description metadata; respectively performing controlled feature mining on the natural ecological basic data and the natural ecological derived data to generate ecological basic data elements and ecological derived data elements; respectively performing key feature extraction on the ecological basic data elements and the ecological derived data elements to obtain basic ecological key features and derived ecological key features; obtaining green finance data elements, and establishing an association relationship between the green finance data elements and the basic ecological key features and the derived ecological key features to generate an ecological resource credible data element model. The technical scheme in the application at least solves the problem that green finance data elements and ecological resource data lack effective association.

Systems and methods for identifying a media segment of audio or video content are described. The video segment is identified by deriving data from media content and comparing said data to a reference database in order to identify said video segment. Embodiments of the invention improve the speed and accuracy of the media identification process by advantageously partitioning the indexes in subdivisions where high value reference information is separated from the bulk information, for example.

Provided are systems and methods for providing insights to users of a mobile application based on triggers that may be detected from within the data or externally. In one example, a method may include receiving, via a message transmitted to a uniform resource locator (URL) of a host platform, information about a user of a software application, reading a plurality of records associated with the user from the received information, the plurality of records comprising data and a plurality of timestamps, respectively, generating derived data based on the data included in the plurality of records, converting the plurality of timestamps into a single timing identifier that represents all of the plurality of timestamps, and transmitting, to a computing system, a notification comprising the derived data and the new timing identifier.