451 results about "Electronic data" patented technology

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.

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.

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.

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 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.

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.

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

The invention provides a confidence-guided adaptive graph representation reinforcement learning method, equipment and a medium, and relates to the technical field of label prediction and electric data processing. The method comprises the following steps: acquiring a crowdsourcing data set composed of multi-source heterogeneous electronic data, and inputting an adaptive graph representation learning model; mapping the crowdsourcing data set to construct an original bipartite graph; based on the original bipartite graph, generating a trimmed view and an enhanced view through dynamic confidence trimming and conservative edge addition; performing feature extraction, adaptive information enhancement and learning on the worker node and the task node through a dual-channel heterogeneous adaptive network, and performing prediction through a predictor to obtain an initial prediction label; and in combination with the original bipartite graph, performing label correction on the initial prediction label to obtain a final prediction label. The method can effectively suppress noise interference, capture local features and adapt to a dynamic environment, is remarkably superior to the prior art in the aspects of accuracy, robustness and calculation efficiency, and is suitable for the fields of multi-source heterogeneous intelligent labeling and the like.

Systems and methods are described herein for generating, training, and federating machine learning models to detect anomalous or rare-event activity in sensitive electronic data, such as financial transactions. In some implementations, configuration information for a machine learning script (MLS) is obtained. The MLS is generated by a server based on the configuration. Data representing the MLS is provided to a user device. The user device is caused to perform operations when executing the MLS. An instance of a machine learning model is trained based on the MLS. One or more parameters associated with the instance of the machine learning model are identified. Data representing the one or more parameters associated with the instance of the machine learning model are received by the server from the user. A federated model is generated based at least in part on the received data representing the identified parameters and provided for output.

The invention is applicable to the technical field of desensitization processing, and provides a dynamic desensitization processing method for electronic data, which comprises the following steps of: calculating to obtain a query intention convergence degree score based on a received electronic data access request; according to the method, when the electronic data access request is received, firstly, the field range, the filtering condition, the aggregation behavior and the connection of the query statement are deeply analyzed, the convergence degree score is calculated, the score directly maps the field desensitization granularity, the desensitization degree is made to be close to the query intention, and result distortion caused by excessive shielding is avoided; then, an external communication path is tracked according to the quasi identifier and the asset map, the information arbitrage risk is quantified according to the continuous multiplication probability and the sensitive value, a cut-off instruction is triggered when the risk exceeds the threshold, and instant isolation and cross-domain assembly blocking are carried out on a high-risk field.

The system comprises a controller, an electronic data processor, or both that are configured to control the wiper motor consistent with an operator-defined wiping intensity request. A user interface is configured to input the operator-defined wiping intensity request. In a learning mode, the electronic data processor can learn or record the operator-defined wiping intensity request associated with a respective operator identifier for a series of sampling intervals during operation of the vehicle. First, in the learning mode, a windshield clarity detector is configured to detect an observed clarity state of the windshield of a vehicle for the series of respective sampling intervals to augment the operator-defined wiping intensity request associated with a respective operator identifier. Second, in the learning mode for the series of sampling intervals, the electronic data processor configured to store in a data storage device the augmented observed clarity state of the windshield, and the operator-defined wiping intensity that are associated with a respective operator identifier.

A diagnostic system for assessing engine wear utilizes data from sensors in a vehicle engine compartment and electronic data from a vehicle communications network to provide a comprehensive diagnostic evaluation. The system includes a sensor device with an audio sensor for capturing engine sound, an accelerometer for detecting vibration, and a near-field communication (NFC) tag for sensor information. The sensor device communicates sound and vibration data to a remote server, while a data acquisition and transfer (DAT) device connected to the vehicle's diagnostic port transmits engine performance metrics. A Dynamic Time Warping (DTW) algorithm aligns time-series data from the sensor and vehicle metrics to identify engine problems. The system supports cloud-based diagnostics and enables optimal sensor placement using geo-location or positional data. Applications include smartphone integration, Wi-Fi 6 communication for high-speed data transfer, and scan modes for varying diagnostic detail levels.

The embodiment of the invention provides an electronic data destruction system, which comprises the following steps of: covering and erasing stored data to generate a logic destruction state; the main storage power line and / or the key control chip are / is burnt out in a voltage clamping and / or current fusing mode through the self-destruction circuit. By means of logic erasing and physical destroying, data destroying is thorough and irreversible, a data reconstruction path is thoroughly blocked, and irrecoverability of data is fundamentally ensured.

The invention relates to the technical field of electronic data collection, in particular to a secure data transmission method for an EDC system, and the method comprises the steps: carrying out the semantic layering of a data package, and setting target transmission reliability for the data of different semantic hierarchies; the network transmission state is evaluated in real time, the minimum redundancy required for achieving the target transmission reliability is dynamically calculated, and forward error correction coding parameters are determined; carrying out adaptive forward error correction coding on data of different semantic hierarchies according to the parameters, and carrying out hierarchical transmission according to priorities; and the receiving end carries out progressive reconstruction and instantly presents the reconstructed data. Through the technical scheme of the invention, accurate calculation and application of appropriate redundancy protection can be realized according to the data value and the real-time network quality, reliable transmission of high-value data is ensured in a weak network environment, and the transmission efficiency is improved to the greatest extent.

Artificial-Intelligence (AI) in the form of Machine Leaning models are implemented to detect anomalies in data movement and / or access post-data transmission. Specifically, tracking beacons, which are configured to transmit signals periodically and / or when encountering a hop in a data route, are inserted in data sets prior to transmitting the data sets to a third-party entity. Tracking beacons may also be configured such that transmission of a signal from the beacon triggers acquisition and initiates communication of access logs. In response to receiving signals from the tracking beacons and / or access logs, ML models which have been trained to detect anomalies in data movement and / or access based on historical movement and / or access patterns of the same / similar data sets are executed to detect any such anomalies based, at least on information included within and / or derived from the tracking beacon signal and / or the access logs.

A system and method for processing a claim includes a consumer opt-in module, a consumer verification module, a policy, a consumer electronic health record, an electronic data feed, a code catalogue comprising a first code and a second code, a notification module, an application programming interface configured to facilitate access to data of the consumer electronic health record, a large language model, and a database configured to receive queries, updates, and validations from the large language model. The system and method may further include an input form, a claim manager module, and a code library. An error detection module may be implemented to monitor the electronic data feed, identify errors, and release an error notification; and a control module configured to receive the error notification. The system and method may also classify a claim as payable or potentially payable.

A system and method for generating, issuing, and recording value transactions in a peer-to-peer data exchange based on a proof-of-data blockchain. The system enables users to open datastores and receive value, with value transactions recorded on the proof-of-data blockchain. Recorders of value compete to obtain blockchain recording rights by issuing value to users who achieve the highest proof-of-data scores. The system supports recording blocks of variable size to enhance scalability and efficiency

1. Name of the designed product: solid state disk. 2. Use of the designed product: for electronic data storage. 3. Design points of the designed product: in the shape of the product. 4. Picture or photo best indicating the design points: perspective view 1.

1. Name of the product in this design: USB flash drive (Chaobao). 2. Purpose of this design: Primarily used for storing and transmitting electronic data; it can also be used for appreciation, decoration, entertainment, collection, and brand image purposes. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

Computer software and computer-implemented method for preparing an electronic data package in connection with a damaged vehicle for submission to the vehicle owner's insurance company for settlement of a claim or for use by an Original Equipment Manufacturer to determine compliance with established repair requirements. A computer-readable medium for storing executable software for preparing the package for a damaged vehicle, a computer system including the executable computer software stored in the computer-readable medium for preparing the package for a damaged vehicle damage are also disclosed. An electronic date package for vehicle damage repair is prepared by the computer-implemented method by executing the computer software stored in the computer-readable medium of a computer system.

Systems / methods which utilize machine learnt networks for efficiently proactively preventing an electronic data transaction processing system, such as an electronic trading system, from transitioning to an anomalous state which must be reverted, e.g., to unwind one or more processed transactions, or where further state changes must be restricted, e.g., by only allowing limited processing of subsequently received transactions, or prevented, e.g., the processing of subsequently received transactions is temporarily or permanently halted. Using a machine learnt network, the disclosed systems / methods are able to recognize both anticipated and unanticipated anomalous transactions which would result in an anomalous state reducing occurrence thereof and minimizing having to revert, pause or halt the electronic trading system while also minimizing the impact on the performance of the electronic trading system.

An electronic prescription is obtained over a network. A synthetic prescription is generated from the electronic prescription and provided to an insurance switching system. Insurance information of a patient is received from the insurance switching system based on the synthetic prescription. An auto-reversal of the synthetic prescription with the insurance switching system is triggered. A patient payment amount associated with the particular pharmaceutical is determined based on the insurance information. One or more pharmacies to fulfill the electronic prescription are identified based on patient information. An interactive routing request data message is provided to the patient, the data message including the patient payment amount and a request for selection of a particular pharmacy of the one or more pharmacies. The selection of the particular pharmacy is received from a computing device associated with the patient. In response to receiving the selection, the electronic prescription is routed to the particular pharmacy.

The application discloses a mold automatic detection method, an electronic device and a storage medium. The method comprises the following steps: obtaining first entity and second entity information in an electronic data model of a mold; performing a Boolean intersection operation on the first entity and the second entity; and determining an interference judgment result of the first entity and the second entity according to a Boolean intersection operation result. The application greatly shortens the mold checking time length, greatly reduces the mouse click times, and greatly improves the work intensity of the drawing personnel through automatic interference identification and automatic identification of a semicircular surface. Meanwhile, the identification accuracy is improved through automatic identification, and the missed detection situation is effectively avoided.

A product dispensing device comprising: a plurality of compartments, each compartment being arranged for storing a liquefied petroleum gas tank, each compartment comprising a door for closing the respective compartment, each door being secured with a respective lock, and wherein when the door is closed, the gas tank stored in each compartment is at least partially visible; and a system comprising an actuator for each lock for locking and unlocking the respective lock, and an electronic data processor configured for performing the steps of storing and self-exchanging empty gas tanks into full gas tanks (and vice versa). A system and method incorporating the product dispensing device are also disclosed.

1. The name of the design product: mobile hard disk (computer science and technology). 2. The use of the design product: for storing or transmitting various electronic data. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective drawing.