650 results about "Electronic data" patented technology

The invention provides an electronic data evidence storage verification method and system based on hierarchical hash and an intelligent contract, and relates to the technical field of block chains and data security, and the method comprises the steps: obtaining to-be-stored electronic data; to-be-stored electronic data is divided into data blocks according to a preset rule, a unique identifier and a timestamp are added to each data block, and a standardized data unit is generated; performing hierarchical hash calculation on the standardized data unit, generating a leaf node hash value by each data block, aggregating the leaf node hash values layer by layer according to a Merkle tree structure, and generating root hash; calling a block chain smart contract, submitting the tree structure hash, the timestamp and the public key encrypted signature to a block chain network, after verification of a consensus node, writing the evidence information into the block chain, analyzing a hash path submitted by a user by the smart contract to perform data verification, if the hash path is consistent with the data verification, returning verification success, otherwise, triggering an exception handling contract; through the dynamic partitioning algorithm and the layered hash structure, the calculation overhead of large file processing is reduced.

Aspects of the present disclosure provide techniques for enhanced electronic data retrieval. Embodiments include receiving a natural language query and identifying one or more electronic data sources indicated in the natural language query using a named entity recognition (NER) machine learning model trained through a supervised learning process based on training natural language strings associated with labels indicating entity names. Embodiments include determining one or more additional electronic data sources related to the one or more electronic data sources using a knowledge graph that maps relationships among electronic data sources. Embodiments include retrieving data related to the natural language query by transmitting requests to the one or more electronic data sources and the one or more additional electronic data sources and providing a response to the natural language query based on the data related to the natural language query.

Systems and methods are disclosed for preserving patient privacy while allowing health data to be analyzed, managed, and stored in different geographical areas. One method for managing cross-border health data while preserving patient privacy includes: receiving a DICOM object from a hospital computing device for analysis; generating a unique case identifier for the DICOM object; validating the received DICOM object; if, based on the validation, the received DICOM object is valid, anonymizing the received DICOM object; updating the anonymous DICOM object to include the unique case identifier; compressing the updated DICOM object; and sending the compressed DICOM object to at least one data analysis web service(s).

The invention provides an electronic data security management system and method. The method comprises the following steps: acquiring an access auditing log; extracting behavior characteristics when the user accesses according to the access audit log, and further determining an intrusion risk index when the edge security node is accessed; generating an adversarial sample of the edge security node in the abnormal access mode, and determining a security policy parameter according to the adversarial sample in combination with a historical real attack sample of the edge security node; and aggregating the intrusion risk index and the security policy parameter into risk linkage information, and updating an on-chain trust certificate of each edge security node according to the risk linkage information and a historical trust value of each edge security node, thereby synchronously updating an access policy of each edge security node. By adopting the scheme of the invention, security management can be performed on the data uploaded by the edge node.

Disclosed is a storage cabinet. An embodiment has one or more shelves, one or more doors for enclosing the cabinet, and an electromagnetic lock for locking the door or doors. The shelves have one or more cameras, an opened- or closed-door state sensor, and a weight sensor arranged to measure weight of products placed on said shelves. An electronic data processor carries out a machine learning computer vision method for processing data received from cameras and sensors to identify products removed from said shelves. The processor detects when a cabinet door is in an open state, acquires image and weight data from the associated camera and weight sensor. When a weight change at a shelf is detected, processing of image data acquired including when the weight change occurred occurs, with said machine learning computer vision method.

The invention belongs to the technical field of archive management, and discloses an intelligent archive supervision method, device and equipment and a storage medium, and the method comprises the steps: carrying out the standardization processing of an archive feature data set which is established based on entity feature information and electronic feature information, and generating the digitalized archive information which can be analyzed; processing the parsable digital archive information through a preset rule to obtain archive metadata; constructing a dynamic supervision model based on the file metadata, and performing real-time association analysis by using the dynamic supervision model; when the correlation analysis result does not meet the preset condition, a corresponding grading response mechanism is matched according to the label attribute, and a disposal instruction containing an exception type identifier is generated; and outputting a visual supervision report based on the execution result of the disposal instruction and the historical supervision data, thereby breaking through the limitation of physical feature and electronic data splitting analysis, establishing entity-electronic feature space-time correlation mapping, and realizing accurate matching of hierarchical response strategies based on file metadata tags.

Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.

The invention discloses a geological archive electronic data security storage method and system based on a block chain, and relates to the technical field of geological information data security, and the method comprises the steps: constructing a multi-modal Merkle sub-tree based on a cross-modal alignment key set, aggregating the multi-modal Merkle sub-tree into a cross-modal Merkle forest root, calculating a cross-modal consistency index, and generating an inconsistent item list; according to the multi-modal consistency index and the inconsistent item list, obtaining a differential security domain mapping table and an access condition set of the geological archive data, and respectively generating a verifiable desensitization proof of a restricted domain and a verifiable zero-knowledge proof of a confidential domain; and packaging the cross-modal Merkle forest root, the differentiated security domain mapping table, the access condition set, the verifiable desensitization proof and the verifiable zero-knowledge proof into an uplink abstract package, verifying the desensitization proof and the zero-knowledge proof through an intelligent contract, and generating a transaction record hash and a new block candidate. According to the invention, the security of the electronic data of the geological archive is improved.

To verify compliance with a data access policy, the system compares electronic data to an electronic data access policy identified by a database; determines whether a portion of the electronic data complies with the electronic data access policy; in response to the portion of the electronic data not complying with the electronic data access policy, indicates that an access to the electronic data by a communication device is not permissible; and declines the access to the portion of the electronic data to the communication device when the access to the electronic data is not permissible. Related methods and computer program products are also discussed.

Aspects of the present disclosure relate to automated evaluation of electronic datasets. Embodiments include receiving one or more rules related to evaluation of electronic datasets. Embodiments further include generating, via an embedding model, embedding representations of the one or more rules. Embodiments further include receiving an electronic dataset. Embodiments further include identifying a rule that is applicable to the electronic dataset based on using a machine learning model configured to search the embedding representations of the one or more rules based on the electronic dataset. Embodiments further include evaluating, using the machine learning model or an additional machine learning model, the electronic dataset based on the identified rule. Embodiments further include using the machine learning model or the additional machine learning model to generate an evaluation summary for the electronic dataset based on determining that an item within the electronic dataset does not comply with the identified rule.

A computer system is disclosed that provides purpose-based control of user actions and access to electronic data assets. For example, the computer system may perform operations including: receiving, from a user, a request to perform an action; determining any checkpoint config objects associated with the action; displaying checkpoint dialog based on checkpoint config object; determining whether criteria associated with the checkpoint object are satisfied; and in response to determining that the criteria associated with the checkpoint object are satisfied: generating a checkpoint record object; and proceeding to perform the action.

In accordance with at least one aspect of this disclosure, there is provided, an artificial intelligence / machine learning (AI / ML) data aggregation module configured to aggregate and parse electronic data from a plurality of systems (e.g., which system(s) may be based on a site location / building) each including a plurality of assets / devices, for determining one or more analytics (e.g., trends) for the assets / devices. In certain embodiments, the AI / ML aggregation module can be configured to receive system data directly and in real time from each of the plurality of systems through one or more communication channels and media formats.

The invention relates to the technical field of electronic data digital processing, and discloses a data maintenance management method and system based on artificial intelligence. The method comprises the following steps: acquiring multi-dimensional features such as an access time sequence, metadata, an association relationship and a service context of data; constructing a hybrid model fusing a long-short-term memory network and a graph attention network, and predicting a future value score of the data; dynamically generating a hierarchical storage, archiving or deleting strategy based on the score and storage cost-performance model; and through the access feedback after the execution of the monitoring strategy, the prediction model is optimized in a closed-loop manner by using a reinforcement learning mechanism. The system comprises a data feature acquisition module, a value prediction module, a strategy generation module and an execution feedback module. According to the method, self-adaptive, refined and intelligent management of the full life cycle of the data is realized, the utilization efficiency of storage resources is remarkably improved, and the operation and maintenance cost is reduced.

Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to implement automated responses to data representing electronic messages, among other things, and, more specifically, to an automated predictive response computing system independent of electronic communication channel of an electronic message payload, the automated predictive response computing system being configured to, for example, implement a universal data space based on, at least in part, conversational data flows, which may be classified and used to provide a predictive response to assist resolution, such as assisting an agent among other things. In an example, a method may include augmenting at least a subset of one or more portions of communication data, implementing augmented communication portion data to determine a predicted response, and generating data to facilitate the predicted response based on the subset of inbound electronic messages.

Systems and methods provide efficient access to electronic data capture (EDC) and electronic medical record (EMR) data for monitoring clinical research. A multi-tenant clinical research platform is configured to support remote management of clinical research sites based on EDC and EMR data. The platform is configured to access EDC data from an EDC data store, access related EMR data from an EMR data store that is separate from the EDC data store, and use mappings between the EDC data and the EMR data to contextually integrate the EMR data into a clinical research review workflow provided by the platform. In some embodiments, the platform is configured to prevent persistence of the EDC data and / or EMR data within the platform. The platform provides remote, on-demand controlled access to the EDC data and the EMR data to facilitate offsite reviews of clinical research sites based on EDC and EMR data.

The invention discloses an aircraft general assembly information association rule mining method and device based on a fine tuning large language model and a medium, and relates to the field of electronic data digital processing, the method comprises the following steps: S1, collecting multi-source production element data in an aircraft general assembly process file; s2, performing field adaptation by a large language model fine tuning method based on low-rank adaptation; s3, extracting structured element information, and constructing a semantically optimized item set; s4, mining association rules of the production elements and the final assembly links based on an association rule mining algorithm; and S5, optimizing and outputting a high-confidence association rule set. According to the method, the accuracy of information extraction and the depth of production element association analysis are effectively improved by combining fine adjustment of a large language model with association rule mining, introduction of a low-rank matrix and deep combination of a mining algorithm, so that the recognition precision of the association relationship between production elements is greatly improved; and reliable data support and decision basis are provided for optimization of the final assembly process.

The present invention provides a method and system for automatically and seamlessly processing clinical trial source data into electronic data capture (EDC) systems. In one embodiment, a file structure is defined for an electronic binder system (eBinder); source data is uploaded to the eBinder; the source data is encrypted, Patient Identifiable Information in the source data is masked; the source data is converted into machine readable plain text in the JavaScript Object Notation (JSON) format using Natural Language Processing (NPL) technologies; the JSON data is converted into tabulated machine readable data in the HyperText Markup Language (HTML) format using NPL technologies; the HTML data is converted into machine understandable data using NPL technologies; the machine understandable data is populated into EDC datasets using NPL technologies; the source data and converted data are displayed side-by-side for source data verification; and a platform is provided for regulatory data verification or auditing.

Processing a payment transaction from a payer (operating a payer computing system) to a payee (operating a merchant computing system) by a secure computing system. The secure computing system outputs a financial account registration request form to the payer computing system (e.g., within a window or frame that is displayed within an ecommerce webpage provided by the merchant computing system) for the payer to provide sensitive financial account information, securely stores the sensitive financial account information, maintains compliance with an information security standard (e.g., a Payment Card Industry Data Security Standard), and provides a non-sensitive electronic data token representing the sensitive financial account information to the merchant computing system. The merchant computing system can then process the payment transaction using the sensitive financial account information represented by the non-sensitive electronic data token without actually receiving—and, therefore, having to secure—the underlying sensitive financial account information.

A computer-implemented method and system for performing one or more AI techniques on data captured from an Industrial Automation Control Systems (IACS) system, wherein the IACS is associated with at least one industrial plant. Data is captured from the IACS relating to each of a plurality of assets associated with the at least one industrial plant. The captured IACS data is analyzed to determine a plurality of assets associated with the at least one industrial plant contained in the captured IACS data, and metadata respectively associated with each determined asset. An electronic data repository is generated that provides an electronic inventory for each of the plurality of assets and associated metadata. An AI engine coupled to the electronic data repository, performs one or more AI techniques on the plurality of assets and the metadata respectively associated with each determined asset, to perform a certain task.

The invention discloses a flood season pollution source-tracing evidence-obtaining monitoring system and method based on multi-source evidence chain fusion, and relates to the cross technical field of environment monitoring and judicial evidence-obtaining, and the system comprises an intelligent cooperative monitoring network unit, a full evidence chain collection evidence-storage module, a multi-modal source-tracing analysis engine unit and a block chain evidence-fixing platform module. Multi-source heterogeneous information such as water quality spectrums, drain outlet thermodynamic diagrams, enterprise production logs and Beidou hydrological data is integrated through a millisecond-level timestamp synchronization technology, a unique'pollution event fingerprint 'is generated, the problems that a traditional monitoring system is single in data dimension and lacks relevance are solved, a complete evidence chain of time-space relevance is formed, and the system has a good application prospect. And meanwhile, a block chain double-channel architecture is innovatively adopted, and an electronic evidence packet which conforms to judicial expertise specifications and is attached with an electronic signature is automatically generated, so that the legal credibility and the credibility of data are remarkably enhanced, and the core defects that traditional electronic data are easy to tamper and have no legal endorsement are overcome.

The invention discloses a project site multi-modal data acquisition system based on AI (Artificial Intelligence) equipment, which efficiently accesses project site multi-modal data through a data acquisition module by utilizing a mobile internet, the equipment and an AI biological recognition technology, improves data comprehensiveness, accuracy and real-time performance, and improves the project site multi-modal data acquisition efficiency. The software and hardware matching scheme module is based on a process driving mechanism of a template, different project requirements are flexibly adapted, the management efficiency and normalization are improved, the Internet of Things equipment management module realizes intelligent monitoring and management and enhances safety and convenience, the electronic data storage module provides a mobile cooperation terminal, project labor service data signing is completed online in the whole process, and the management efficiency is improved. The work authenticity and efficiency auditing module forms an auditing mechanism, the real situation and efficiency level of field work are accurately reflected, problems can be found in time, project quality and efficiency are improved, and intelligentization, standardization and high efficiency of field labor service management are achieved.

The present disclosure describes a server computing device configured for receiving from a remote computing device via an application, in response to a low-risk access request to a data resource, a programming call with a URL comprising an second identification data item encrypted from a first identification data item acquired by the remote computing device, obtaining a first context information item associated with the programming call, inputting the first context information item into a machine learning model to generate a second context information item, extracting the second identification data item from the URL, generating a third identification data item by decrypting the second identification data item, retrieving a prestored property data item associated with the third identification data item, and transmitting requested data to the remote computing device if comparing the second context information with the prestored property data item produces a match.

The invention discloses a rapid identification and grading early warning method for sensitive files of customs field mobile equipment, and relates to the technical field of electronic data forensics, and the method comprises the following specific steps: constructing a sensitive key feature library, collecting and analyzing mirror image data, fusing and judging sensitive information, and automatically generating a sensitive grading early warning and risk report. According to the method, sensitive information samples of customs law enforcement cases, supervision notification cases and compliance public data sources are collected, and accurate extraction of four modal features of images, texts, audios and videos is ensured by using a multi-modal sensitive feature extraction formula; in the preliminary screening stage, file feature vectors are compared in batches through a preliminary screening similarity calculation formula, and suspicious files are quickly marked; in the recognition stage, multi-dimensional matching is adopted for files of different formats, and recognition confidence coefficients of all modes are generated; finally, whether the to-be-detected file is a sensitive file or not is judged through a comprehensive confidence coefficient calculation formula, and the omission ratio is reduced.

An electronic data analysis method including at least one server, the electronic data analysis method comprising the steps of: a) Receiving, from an electronic device associated with a user to an electronic data analysis system, a search query including one or more search query terms; b) Maintaining an electronic search term database in association with the electronic data analysis system, the search term database comprising a plurality of search terms; c) Identifying, using the electronic data analysis system, one or more relevant search terms from the plurality of search terms in the electronic search term database based on the one of more search query terms; d) Sending, using the electronic data analysis system, a search request related to the one or more relevant search terms to a plurality of data sources external to the electronic data system; e) Receiving, using the electronic data system, data associated with the one or more relevant search terms from the plurality of data sources; f) Assigning, using the electronic data system, the data retrieved from the plurality of data sources into a plurality of data visualisation categories; and g) Displaying, using the electronic data system, the plurality of data visualisation categories on the electronic device.

Certain embodiments are directed to systems and methods for automatically providing data indicative of one or more characteristics of services that may be recommended to a particular patient, wherein the services are executable at least in part electronically based on data generated and provided by a system for facilitating access to the services. The generated data may be utilized for generating one or more user interfaces providing data regarding derived standard pricing data that is automatically assigned to the referred services and which may be attributable to a patient based at least in part on the patient's usage of the services.

A bidirectional feedback system for remote spatial positioning correction of a robotic arm for ultrasound scanning is disclosed. An embodiment includes: a first robotic arm for ultrasound scanning; a second robotic arm for mirroring the first robotic arm; a first and second display; an electronic data processor configured for: receiving ultrasound scan images; sending the received ultrasound scan images to the two displays; mirroring the relative spatial positions of the first and second robotic arm, wherein: sensing a first relative spatial position from the first robotic arm, and moving the second robotic arm to the first relative spatial position; has higher priority than: sensing a second relative spatial position from the second robotic arm, and moving the first robotic arm to the second relative spatial position. Also disclosed is a respective method and use of said system for remote hands-on training, preferably for medical training, more preferably for ultrasound training.

In one aspect, a method and an associated apparatus includes multiple electronic data recorders (EDRs), at least one sensor configured to generate a signal in response to detecting that a sensor measurement exceeds a preset threshold, a cannister including expanding foam, and circuitry in communication with the at least one sensor and the cannister. In response receiving the signal, the circuit is configured to cause the cannister to dispense the expanding foam to envelop at least one of the multiple EDRs. The EDR maybe one of multiple EDRs on a vehicle.

Aspects of the present disclosure relate to dynamically generating prompts. Embodiments include receiving a query from a user and retrieving a prompt template based on the query, wherein the prompt template comprises: natural language instructions related to providing a response to the query, and one or more placeholders associated with indications of one or more electronic data sources from which relevant user data is to be retrieved. Embodiments further include retrieving, based on the indications associated with the placeholders in the prompt template, user data associated with the user from the one or more electronic data sources. Embodiments further include populating the prompt template to produce a dynamically generated prompt by replacing the placeholders with the retrieved user data associated with the user. Embodiments further include providing the dynamically generated prompt and the query to a machine learning model that has been trained to generate content.

Systems and methods for secure electronic data transfer utilizing an ephemeral key for encryption and decryption of data.

The present disclosure relates to a computer-implemented method for calibrating an optical system of a surgical microscope, a corresponding computer program, a computer-readable storage medium storing such a program and a computer executing the program, as well as a medical system comprising an electronic data storage device and the aforementioned computer. The present disclosure further relates to a computer-implemented method, a computer program and a system for determining the spatial position of an object to be tracked not only via the surgical microscope, but also via a separate detection system. In case a deviation between the detected spatial positions is recognized, the optical system of the surgical microscope is re-calibrated.