60 results about "Data validation" patented technology

A system for providing an interactive inspection map of an inspection surface inspected by an inspection robot includes an inspection circuit structured to interpret inspection data of the inspection surface from the inspection robot and a user interaction circuit structured to interpret a user focus value from a user device. The user focus value includes an activation state value. The system further includes an inspection visualization circuit structured to provide the interactive inspection map to the user device in response to the user focus value. The interactive inspection map is based on the inspection data. Also, the system includes an inspection data validation circuit that determines an inspection data validity description of the inspection data. The inspection data validity description is provided as a display layer on the interactive inspection map to indicate whether the inspection data is valid.

The invention relates to the technical field of data processing, and discloses a method and a system for dynamically generating declaration receipts based on custom configuration, the method comprises the following steps: constructing a component library, the component library comprises multiple types of data item components, and each data item component is packaged into an independent module; based on the graphical configuration process, adding the components in the component library to a working area, and setting field attributes; setting a dependency relationship between fields based on conditional logic, defining a legality rule of the fields based on a data verification rule, and automatically storing a historical version in a configuration process based on version control; and based on preset authority and distribution setting, determining a filling person range and a filling time limit of the declaration receipt, and notifying a filling person. According to the invention, the form creation efficiency is improved, the maintenance cost is reduced, and the expandability and applicability of the system are enhanced.

A server computer may receive an authentication data packet including authentication data from a relying party computer in communication with an authenticator associated with a user device. The server computer may verify the authentication data in the authentication data packet. The server computer may store the authentication data packet in a database. The server computer may transmit to an authorizing entity computer, a data packet including data relating to the verification of the authentication data.

The invention discloses a business filling scene data acquisition method and system, a storage medium and electronic equipment, and the method comprises the steps: firstly storing filling historical data and domain knowledge into a vector database, and according to the current input of a user, searching related information, and combining the current input to generate a filling suggestion through a generation type large model; multi-modal information of the multi-end filling system is obtained, semantic understanding and information extraction are completed through a large model, and the multi-modal information is converted into structured data; mapping the structured data to a specified field by means of a field mapping rule; a data verification rule is designed, data verification is corrected through a rule engine or large model dynamic logic verification, and a verification result and a prompt suggestion are output; and finally, storing the processed and verified data, and providing data support for the user. According to the invention, the data acquisition efficiency is improved; the intention of the user can be predicted, corresponding suggestions can be provided, and the legality and accuracy of data are ensured.

Systems and methods are provided for a prompt and content generation service to validate generated references and training data sets of large language models (LLMs). The prompt and content generation service may determine if a reference generated by an LLM is valid by searching a training dataset for tokens using a prompt, generated answer, and generated reference for content and references in the training data set. If the prompt and content generation service finds content or a valid reference with a certain confidence level, the prompt and content generation service may indicate that the generated content and reference is valid. The prompt and content generation service may additionally validate a saved checkpoint during training of an LLM by executing use case scenarios against the LLM checkpoint and determining if expected answers match generated answers.

An application or device is authenticated using secure application data validation. A server computer receives an authentication request comprising an application identifier or a user device identifier associated with a user device, the authentication request originating from the user device. The server computer receives a set of behavioral data associated with the application or the user device. Responsive to receiving the application identifier or device identifier, the server computer obtains a fuzzy vault associated with the application identifier or the user device identifier. The server computer determines a reconstructed key value using the fuzzy vault and the set of behavioral data. The application or the user device is authenticated using the reconstructed key value.

The process validation platform disclosed herein enables automated validation of data transformation processes based on simulation-based data. For example, the process validation platform can generate metadata associated with a data transformation environment, evaluate the metadata, and generate test data based on the metadata. The process validation platform can generate test cases (e.g., test records) and associated code samples based on the test data and enables updates and review of the test cases. The process validation platform can transmit the code samples to the data transformation pipeline for execution of the associated data validation tasks.

The invention relates to the technical field of artificial intelligence and education, and discloses a composition AI review improving system and method based on scene deduction, and the method comprises the steps: obtaining the basic information of a learner and the text data of a composition, and carrying out the standardization processing; performing text statistical analysis on the standardized learner basic information set; carrying out scene type identification and task difficulty assessment; establishing a matching relationship between the writing ability of the learner and the task difficulty evaluation result, and obtaining personalized review strategy configuration parameters according to the matching result; processing the personalized review strategy configuration parameters and the to-be-reviewed composition text; verifying the accuracy of the fractal-dimension scoring result and the comprehensive evaluation report in combination with feedback data, and adjusting personalized review strategy configuration parameters according to the verification result; according to the invention, by constructing a scene deduction mechanism and a personalized review strategy, the evaluation standard can be automatically adjusted according to different teaching scenes, learner characteristics and composition types.

The invention relates to the field of artificial intelligence, in particular to a method and device for generating a programming language according to a clinical DVP table, a medium, electronic equipment and a computer program product. According to the method, the clinical DVP table is automatically read and the corresponding program code is generated, so that the manual programming time and cost are greatly reduced, the data verification efficiency is improved, and the data quality problem caused by human errors is also reduced. In addition, the clinical test data can be comprehensively and accurately verified, the quality and reliability of the data are improved through the comprehensive verification mechanism, and a powerful guarantee is provided for smooth proceeding of clinical research.

A system for providing an interactive inspection map of an inspection surface inspected by an inspection robot includes an inspection circuit structured to interpret inspection data of the inspection surface from the inspection robot and a user interaction circuit structured to interpret a user focus value from a user device. The user focus value includes an activation state value. The system further includes an inspection visualization circuit structured to provide the interactive inspection map to the user device in response to the user focus value. The interactive inspection map is based on the inspection data. Also, the system includes an inspection data validation circuit that determines an inspection data validity description of the inspection data. The inspection data validity description is provided as a display layer on the interactive inspection map to indicate whether the inspection data is valid.

A computer system for performing cloud-based enhanced rules conflict checking is provided. The computer system is programmed to store a plurality of rules for transmitting to a plurality of destination systems and receive a data message for transmission to the plurality of destination systems from a first requesting system. The computer system is programmed to compare the data message to a first set of rules to validate the data message and if the data message is validated for the first set of rules, instruct the first requesting system to transmit the data message to the plurality of destination systems. The computer system is further programmed to receive the data message for transmission to one or more remaining destination systems from a second requesting system and compare the data message to a second set of rules for validating the data message.

Embodiments of the present disclosure are directed to a system for monitoring operating conditions of a saltwater disposal pump system, which includes a processing device that causes a controller to receive an alarm from the at least one machine that exceeds a predetermined alarm level indicative of an abnormal machine operation, receive a plurality of data from a plurality of sensors that are indicative of a current operating conditions of a saltwater disposal pump assembly, derive an expected value utilizing a statistical regression analysis, determine whether the expected value and a history of the plurality of data correlate at a point where the plurality of data exceeds the predetermined alarm level, determine whether a deviation from a predefined operating profile exceeds a predetermined machine data validation threshold value, validate the alarm, output an alert of the deviation and inhibit further operation of the saltwater disposal pump assembly.

A model-based functional hazard assessment (FHA) is disclosed. A disclosed example apparatus for generating a model-based FHA associated with a product includes an associator to associate a function of the product to a failure condition to define a first association, and associate a hazard assessment with the failure condition to define a second association, and associate a safety requirement with the hazard assessment to define a third association. The apparatus also includes an organizer to generate the FHA based on the first, second, and third associations. Disclosed examples include automated FHA data validation capabilities.

Disclosed are a method, a device, and / or a system of completion data validation prior to providing a reward to an authenticated user for meeting an opportunity completion criteria. In one embodiment, a computer such as a server includes computer instructions that when executed authenticate a user and select an opportunity profile including an opportunity completion criteria, a description the criteria, and data specifying a reward for completion of an action satisfying the criteria. The executable instructions extract a description of the criteria and transmit the description and data specifying the reward to a computing device over a network. The instructions, when executed, validate a completion data evidencing the action and determine the completion data meets the criteria. The instructions, when executed, provide a reward to the user and write within a database data designating that the user profile completed the opportunity completion criteria associated with the opportunity profile.

A posthumous memory-sharing system including a memory storage system storing user-selected digital content and instructions for communicating with a computing device of a recipient. The memory storage system authenticates death of the user based on receiving biometric data and / or third-party data validation, then transmits verification to the computing device that the death of the user has been authenticated. The memory storage system also receives a unique, recipient-specific encryption key indicating that the recipient wishes to receive at least some of the user-selected digital content or at least one physical item associated with the recipient. In response to receiving the encryption key, the memory storage system sends the user-selected digital content or initiates delivery of the physical item at user-specified or algorithmically determined times. The memory storage system also dynamically adjusts delivery schedules of these items based on recipient availability or real-time interaction feedback.

Systems and methods for using data reference links to maintain data validation are disclosed. The method may include: initiating, via a trial server, a trial session for a user; determining, via the trial server, a validated instrument to be accessed for the trial session; transmitting, to an instrument library and via the trial session, a request for an instance of the validated instrument; receiving, from the instrument library, a data reference object that is operable as a data reference link to the validated instrument stored in the instrument library, such that the data reference object is operable to execute the validated instrument without generating a copy of the validated instrument; and causing a Graphical User Interface (GUI) of the trial session to operate the data reference object, such that a user device executes the validated instrument by reference.

This application relates to the field of financial document management technology, and discloses a method and system for automatic identification, generation, and decision-making of financial documents. The method first receives and preprocesses the original document image, then uses computer vision technology to perform layout analysis and classification on the enhanced image, distinguishing between known standard layouts and unknown layouts. For known layouts, a template-based OCR module is used to accurately extract key text blocks; for unknown layouts, a general document understanding model is used to obtain preliminary key-value pairs of key information. Subsequently, the extracted information is transformed into structured data through a key information structure extraction module, and verified by a data validation and business rule engine. If the validation passes, the structured document information is output; otherwise, it is sent to a manual intervention queue for further review. This method effectively improves the efficiency and accuracy of automated financial document processing, while enhancing the system's flexibility in adapting to different document layouts.

1. Name of the product in this design: Guided operation graphical user interface for electronic devices. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key points: the front view. 5. Uses of graphical user interface: Used in international logistics, warehouses and other scenarios to guide personnel operations and facilitate human-computer interaction. 6. Description of the changing states of the graphical user interface: Based on the main view, click any icon in the main view to jump to the changing state diagram 1; enter data in the input box in the changing state diagram 1 to jump to the changing state diagram 2; the changing state diagram 2 is the data validation process; if the validation is successful, jump to the changing state diagram 3; click the button in the lower right corner of the changing state diagram 3 to jump to the changing state diagram 4. The front view reference diagram is the reference diagram for the front view, and the change state reference diagram 1-4 is the reference diagram for the change state diagram 1-4. The “XX” in each view represents text and / or numbers.

There is provided an information processing apparatus capable of making the accuracy and behavior of data observable when constructing and updating a database by aggregating data from multiple data sources so as to improve data accuracy and availability. The apparatus includes a data set extraction unit configured to extract a data set from a plurality of databases belonging to a plurality of platforms, respectively, a quality analysis unit configured to analyze quality of the data set per data set by applying a first metric to the data set; a data validation unit configured to validate a data value per data item in the data set by applying a second metric to the data set; and a metric construction unit configured to dynamically construct at least a part of the first and second metrics to be applied to the data set based on a processing history of the data set.

The invention belongs to the technical field of data verification, and particularly relates to a data verification rule configuration method and system and a data distribution system. The configuration method comprises the following steps: S1, a programmer uses a unified code writing logic in advance to build a running environment of a configuration module; s2, business personnel convert the business demand into logical operation among a plurality of basic demands; and S3, the business personnel in the configuration module reserves the logical operation among the basic demands, converts each basic demand into the logical operation among the plurality of basic verification units, and completes verification rule configuration for the current business demand in the configuration module. According to the data verification method and device, business personnel can conveniently and independently complete configuration and maintenance of the verification rules, the data verification efficiency and verification effect are improved, and meanwhile the stability of data verification is guaranteed.

Examples described herein include implementations for big-data validation. One aspect includes generating a configuration file including dynamic matching data describing a first plurality of data entries and a second plurality of data entries, and generating a data action file. A plurality of data queries are generated based on the dynamic matching data indicated in the configuration file. The plurality of data queries are dynamically executed in parallel, including execution of a plurality of simultaneous data queries to the data source system. Fields of the first plurality of data entries and the second plurality of data entries are matched using the key type and the value structure, corresponding fields of the first data fields and the second data fields having a data mismatch are identified, and a mismatch database entry for the corresponding fields having the data mismatch is automatically generated.

A method and a system for performing schema-based data validation are disclosed. The method includes receiving a first dataset that comprises a plurality of entries, the first dataset is received from at least one data source. Next, the method includes receiving a second dataset that comprises a predefined set of instructions corresponding to a set of conformity standards for validation of the first dataset. Next, the method includes applying the predefined set of instructions to the received first dataset. Next, the method includes validating each of the plurality of entries of the first dataset based on the applying of the predefined set of instructions. Thereafter, the method includes generating a consolidated assessment report based on the validation, and displaying, using a display unit, the generated consolidated assessment report.

Using exported machine learning model data and a specification of the model training environment, a specification of resource usage and a specification of code module usage of the model are detected. A specification of code module installation is determined from a specification of code module requirements and a specification of the target execution environment. The code modules specified by the code module installation specification are installed in the target execution environment. Using data from the updated target execution environment, the updated target execution environment is validated for model execution. The model execution in the updated target execution environment is simulated. The model is deployed to the updated target execution environment in response to the simulation being successful.

An example operation may include one or more of storing a model of training data of an artificial intelligence (AI) model in a storage of a software application, receiving a request to execute an AI pipeline including the AI model on input data via the software application, determining that the input data is not valid data based on a comparison of the input data to the model of the training data, retrieving additional input data from the storage of the software application, determining that the additional input data is valid data based on a comparison of the additional input data to the model of the training data, and executing the AI pipeline including the AI model on the additional input data to generate a predictive output.

The present subject matter discloses a system and a method for providing insights of an information technology ecosystem. The system comprises an ingestion module for ingesting at-least one data attribute from at least one data source into a data lake and a data analysis module for generating a dataset using data validation rules, wherein the data validation rules converts the at-least one data attribute to a predetermined format, and for generating at least one service request. Furthermore, the system comprises an automation module for determining a class of the at least one service request, wherein the class of at least one service request is determined based upon the dataset, wherein the class of at least one service request identifies a service provider from a plurality of service providers. Moreover, the automation module executes a pre-determined action based upon the class of the at least one service request and the identified service provider, wherein the pre-determined action provides a predictive insight in real-time.

The invention provides a method and system for evaluating the hypertension disease risk of residents in a residential area under the influence of noise exposure, and belongs to the technical field of disease risk evaluation. The method comprises the following steps: collecting personal basic information, dietary habits, noise exposure level data, building influence factors related to noise propagation and hypertension illness condition data, and carrying out preprocessing and data verification; the hypertension disease risk serves as a dependent variable, other data serves as an independent variable, the variables are assigned, and single-factor logistic regression analysis is conducted on the assigned variables; performing multi-factor logistic regression analysis on the variables with low significance corresponding to the variables; establishing a plurality of evaluation models for the hypertension risk of residents in the residential area under the influence of noise exposure based on a multi-factor logistic regression analysis result, and screening an optimal evaluation model according to the accuracy of a prediction result; and outputting the importance of each risk factor in the optimal evaluation model prediction result. And the hypertension disease risk aiming at the noise exposure influence can be quantitatively estimated.

An automated, multi-layered QA system for cloud-native machine learning pipelines, including: a data validation module configured to receive input data from one or more data sources and evaluate the data for quality, completeness, consistency, and schema compliance; a preprocessing validation module that is functionally coupled with the data validation module and configured to check the correctness of data transformations, feature engineering, and normalization processes; a pipeline orchestration interface configured to coordinate the execution of pipeline components within containerized environments; a model validation module that is functionally coupled with the preprocessing validation module and configured to evaluate the performance, accuracy, robustness, and reproducibility of machine learning models during training and inference; a deployment validation module configured to validate the correctness, compatibility, and stability of model deployment in cloud-native environments; a monitoring and anomaly detection module configured to continuously track pipeline behavior and detect anomalies including data drift, model drift, and performance degradation; and a feedback and adaptive learning module configured to dynamically update validation rules and test strategies based on historical data and detected anomalies, the system is configured to provide continuous, end-to-end, and multi-layered quality assurance across all phases of the machine learning pipeline within cloud-native infrastructures.

Embodiments described herein are generally directed to client / server software application development frameworks, and are particularly directed to systems and methods for supporting portable and extensible dynamic user interfaces and data validation. An application development framework is provided, wherein a rules engine component and rules are provided at both the client-side and the server-side, for use with a particular application. The rules engine and rules can be different implementations at each end. The client and server can communicate to exchange the latest versions of the rules; however the rules themselves are agnostic as to which (client-side or server-side) engine they are run on. The system allows users to configure policies associated with a client-side user interface and a backend server, that operate together to provide application portability and extensibility, for example to control the presentation, logic, defaulting, and operation of a data set associated with a dynamic user interface.

A computer-implemented method for validating supplier data is provided. The method includes accessing a spend management interface of a spend management system. The spend management interface may receive supplier data from a supplier computer via user interface widgets of the spend management interface. A country identifier is received from the supplier computer via a country widget and a currency identifier is received via a currency widget of the user interface widgets. One or more parameters associated with the country identifier and currency identifier are identified within a validation database of the spend management system and customized user interface widgets are generated based on the one or more parameters. The spend management interface is electronically updated to present the customized user interface widgets to the supplier computer. Supplier data is received from the supplier computer via the customized user interface widgets and the supplier data is programmatically validated.