139 results about "Digital file" patented technology

The invention discloses an archive digitization full-life-cycle encryption integrity verification method and system, relates to the field of digital archive safety management, and is used for solving the problem of integrity and safety guarantee in archive digitization management. Logic units are divided through a semantic analysis engine, non-uniform blocks are generated based on sensitivity dynamic partitioning, local hash values are calculated, and a multi-level verification tree is constructed to generate root hash and a hash path mapping table; acquiring visitor identities, terminal environments and timestamps in each stage of an archive life cycle, generating state snapshots in combination with a hash path, and constructing a life cycle state snapshot chain; reconstructing a target logic unit verification path according to the access request, analyzing the structural difference between a current path and a historical snapshot chain through a path reconstruction type difference verification algorithm, and identifying structural offset, node tampering or path loss; and response control is triggered for abnormal verification, including session key updating and permission freezing, so that the security integrity guarantee of the digital archive in the full life cycle is improved.

The invention provides a three-dimensional visualization analysis method for a real scene of an ancient earthquake exploring groove, which belongs to the technical field of seismic geological survey and comprises a data acquisition module used for acquiring point cloud data of target exploring grooves in different regions. And the model building module is used for carrying out scene format conversion on the point cloud data of the target exploring grooves in different regions, and carrying out exploring groove three-dimensional model building by utilizing the converted SLPK file. And the visualization module is used for carrying out live-action three-dimensional display on the three-dimensional models of the target probe grooves in different regions through a three-dimensional scene Web server based on the SLPK files in different regions, and rendering node data of different detail levels of the probe grooves according to user requirements. The ancient earthquake event can be better understood, and a reliable three-dimensional digital file and a new shared analysis normal form are provided for the ancient earthquake.

The invention discloses a traditional Chinese medicine decoction piece production data management method and system based on quality tracing, and relates to the technical field of production data management. According to the invention, a unique tracing identification code is generated for warehousing traditional Chinese medicine raw materials, and information is bound to create a digital file; in the production process, data and quality data of all procedures are collected in real time by scanning the identification codes, and a dynamic production digital file is formed; an improved TCN neural network is trained to construct a quality prediction model, and the model can accurately predict product quality by introducing optimization such as a process perception attention mechanism and parallel branches; performing real-time quality evaluation and process adjustment by using the model in production; key process data is stored through a block chain, and a traceability code is provided on a finished product package for visual query; data communication and credible tracing of a whole production chain are achieved, quality control is converted into active prediction and intervention from passive inspection, and the quality stability and management efficiency of the traditional Chinese medicine decoction pieces are remarkably improved.

The invention relates to the field of power transmission line device defect detection, and discloses a strain clamp defect detection method and device based on computer vision, and the method comprises the steps: obtaining a global three-dimensional point cloud model of a strain clamp; mapping a standard detection path to the model; synchronously acquiring an internal structure image, an external surface image and an acquisition pose along the path; identifying suspected defects in the internal structure image; if the defect exists, calculating a corresponding associated influence area of the defect on the three-dimensional model by combining the pose; and performing enhanced scanning on the associated influence area to obtain high-precision information. The device comprises a ray machine; a ray machine control module; a digital ray imaging detector; a multi-dimensional information fusion probe; a wireless transmission module; and a power module. According to the method, internal and external defects can be accurately associated, the detection process is standardized, the detection accuracy and repeatability are improved, and a traceable digital file is constructed.

The invention provides an intelligent dispatching and remote control method for a tower crane, which is applied to the field of fabricated house building construction and engineering equipment and aims to solve the problems of difficulty in dispatching the tower crane, low construction efficiency, severe operation environment and high safety risk in a clustered fabricated building. The method comprises the following steps: S1, constructing a distributed system architecture comprising a physical layer, a sensing control layer, a data processing decision layer, an application layer and a communication layer, and deploying equipment; s2, collecting environment, tower crane state and BIM model related multi-source data, and transmitting the data to a data fusion processing center for fusion; s3, planning an optimal hoisting path and a task sequence through the intelligent scheduling subsystem based on an ant colony algorithm; s4, a control mode is selected, a hoisting instruction is issued to execute a task, and forced braking is triggered in emergency; and S5, mapping a construction scene through a digital twin system, monitoring and alarming through an intelligent monitoring system, feeding back data to realize closed-loop optimization, and recording a digital file. According to the method, tower crane dispatching and construction efficiency is improved, construction safety is guaranteed, and intelligent construction of the fabricated building is promoted.

A method performed by an NFT platform includes generating NFT secondary file information relating to a digital file and the NFT, wherein the NFT secondary file information comprises a content ID of the digital file stored in a data storage, wherein the data storage is a permanent and immutable data storage. The method may also include the NFT platform generating an NFT metadata file comprising the content ID of the digital file stored in the data storage, storing the NFT metadata file and the NFT secondary file information in the data storage, generating a smart contract of the NFT comprising a link to a content ID of the NFT metadata file stored in the data storage, and deploying the smart contact to a distributed ledger system.

The invention discloses a pet personalized physical rehabilitation method and system based on multi-modal data fusion. The method comprises the following steps: establishing a digital file of a target pet; according to the method, multi-modal data such as behavior characteristics and physiological indexes are fused, and the space-time correlation is mined by using a multi-head self-attention mechanism, so that the limitation of a single data source can be overcome, the pain level and the joint limitation degree of the pet can be accurately identified, and an objective basis is provided for scheme formulation; based on medical history and rehabilitation sensitivity base lines in a pet digital file, in combination with real-time environment and expression recognition, rehabilitation strength, frequency and aromatic therapy formula are dynamically adjusted, accurate rehabilitation of'one pet and one strategy 'is achieved, and secondary damage or stress to pets caused by a standardized process is avoided; and in combination with expert-algorithm closed-loop verification and concept drift detection, the system can automatically adapt to new cases and environment changes, and the accuracy of rehabilitation effect evaluation and the scientificity of scheme recommendation are continuously improved.

The invention discloses a digital twin voltage monitoring method and system for a distribution line. The method comprises the following steps: firstly, calibrating electrical parameters of a thermal conversion probe through a temperature control box, establishing a digital file, and constructing a static digital twinborn body integrated with the file; a DTS host is used for collecting an optical fiber backscattering signal to generate a temperature profile map, and a preliminary voltage value is calculated through temperature rise after processing; based on the standard voltage true value of the anchor point probe, an error correction field is generated in combination with the spatial distance and the environment similarity, and the common probe is dynamically calibrated to obtain a final accurate voltage value; furthermore, the equipment health state diagnosis is realized by analyzing the temperature rise residual error; and finally, inputting the voltage value into the digital twinborn body to carry out load flow calculation, generating a voltage cloud picture and realizing out-of-limit early warning. The problems that an existing monitoring method has a blind area and is insufficient in precision are solved, and comprehensive sensing, accurate measurement and intelligent early warning of the voltage state of the power distribution network are achieved.

Systems and methods for training a user to label and code digital files for three-dimensional garment design are provided. Systems and methods for collaborative refining of digital and / or physical garment prototypes are also provided.

The invention relates to the technical field of video processing and artificial intelligence, and discloses an AI video integrated device and a processing method thereof, and the device comprises the following steps: a video collection module obtains a real-time video stream; the event pre-classification module performs analysis to generate an event probability vector; the dynamic strategy scheduling module distributes a control instruction according to the vector. The deep analysis module loads an artificial intelligence model after receiving the instruction and extracts structured metadata; the archive packaging and anchoring module integrates the video stream and metadata, constructs a digital archive package, and carries out encrypted hash calculation, trusted timestamp anchoring and encrypted packaging; and the storage and output module transmits the encrypted file package to an external file management system. An event-driven dynamic strategy scheduling mechanism is introduced, low-power-consumption operation is kept in a conventional state, when the lightweight event pre-classification module recognizes a key event, a high-performance processing mode is switched to, deep analysis resources are mobilized, and the resource utilization efficiency of the device is improved.

The invention discloses an intelligent archive digital processing method and system, and the method comprises the steps: carrying out the synchronous scanning of a paper archive through a multi-spectral linear array scanner, and collecting the archive image data of a visible light wave band and a near-infrared wave band; performing non-uniform illumination correction and perspective distortion correction on the archive image data to generate a geometric and color standardized dual-channel fusion archive image; based on the dual-channel fusion file image, outputting structured layout description information including a text area, a table area, a signature area and an illustration area; generating a preliminary archive information atlas according to the structured layout description information; and based on the archive information atlas and a preset archive metadata specification, finally outputting a fully structured digital archive object conforming to an archive standard. According to the embodiment of the invention, the fully-structured digital archive object can be automatically generated in a high-fidelity manner, and the accuracy, integrity and knowledge degree of digital processing are improved.

A method for executing at least a portion of a digital file including receiving one or more linguistic sections of the digital file. The method includes receiving a submission ruleset including at least one submission rule. The submission rule includes a rule criteria and a lifecycle parameter set to inactive. The method includes generating the digital file including the one or more linguistic sections. The method includes outputting the digital file and receiving a digital signature of the digital file. The method includes activating the submission rule by modifying the lifecycle parameter from inactive to active. The method includes selecting a case dataset including case data from a repository of the provider computing system. The method includes determining the case data fulfills the rule criteria. The method includes outputting the case dataset in response to the case data of the case dataset fulfilling the rule criteria of the submission rule.

The invention relates to a data collaborative verification method based on intelligent AI, belongs to the field of electric digital data processing, and more particularly relates to the field of machine learning, the method comprises the following steps: obtaining a current data segment to be subjected to AI data verification, the current data segment being represented by underlying data of a customized data structure; and adopting an AI data collaborative verification model to collaboratively verify the existence of the target person in the current data segment and the existing picture sequence number based on the current data segment and the digital file corresponding to the reference figure pattern of the target person. According to the technical problem that in the prior art, the process that verification is executed through non-bottom-layer data is complex and tedious, mass images are expressed in a bottom-layer data form of a customized data structure, other basic data are assisted, and then the artificial intelligence model obtained based on machine learning is utilized; and the existence of the personnel targets in massive pictures and the synchronous intelligent verification of the specific frames where the personnel targets are located are completed, so that the technical problem is solved.

The invention belongs to the technical field of vehicle control systems, and relates to a vehicle personalized adaptation system and method, and the system comprises a sensing layer which collects a face image, a human body posture image, three-dimensional point cloud data, pressure distribution data, vehicle operation behavior data and vehicle motion state data; and the decision-making layer is used for generating static physiological feature data, dynamic behavior feature data and driving scene data based on the data acquired by the perception layer, generating or updating a personalized digital file of the user based on the static physiological feature data and the dynamic behavior feature data, and generating or updating a personalized digital file of the user based on the personalized digital file, the dynamic behavior feature data and the driving scene data. Generating a personalized parameter configuration set for a plurality of subsystems of the vehicle; and the execution layer is used for sending the personalized parameter configuration set to subsystem controllers of the vehicle, and each subsystem controller drives a physical actuator and feeds back the physical actuator to the decision-making layer. The problem that an existing vehicle safety and comfort system cannot adapt to individual differences and real-time states of different drivers is solved.

Managing access to digital files in a computing environment, including facilitating protection of digital files; including facilitating the user experience for authentication, file encryption, file decryption, dynamic read access of protected files, dynamic write access of protected files, file cache management, and logging of access and updates to the protected files.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital files in accordance with user requests. For instance, in some cases, the disclosed systems receive, from a client device, a user request for modifying a digital file. The disclosed systems generate, using a language machine learning model, a task plan having formatted code indicating one or more application programming interface calls to execute to modify the digital file. Further, the disclosed systems generate, via one or more code verifications on the formatted code, an error log that identifies one or more errors in the task plan. The disclosed systems generate, from the error log and using the language machine learning model, a corrected task plan that corrects the one or more errors. Additionally, the disclosed systems provide, for display, a modified digital file generated through execution of the corrected task plan.

An example method may comprise providing a first graphical user interface for receiving first image data, a second graphical user interface for receiving first audio data, a third graphical user interface for receiving first video data, a fourth graphical user interface for receiving a first attribute input, and a fifth graphical user interface for receiving a second attribute input. The example method may comprise generating a digital file based on the first image data, the first audio data, first video data, digital data associated with the first attribute input, and digital data associated with the second attribute input. The example method may comprise tokenizing the generated digital file to generate a non-fungible token (NFT) associated with the digital file. The example method may comprise encoding the NFT with metadata. The example method may comprise generating a sixth graphical user interface enabling updates to the metadata associated with the NFT.

According to the assembly type inverted-T-shaped precast beam automatic scabbling equipment and the intelligent detection method, non-equal-length beam bodies are developed to manufacture templates, so that the non-equal-length beam bodies are manufactured on the same production line, and a large number of engineering templates are saved; automatic scabbling equipment is researched and developed, and rapid scabbling of the precast beam is achieved; quantification of depth, uniformity and roughness and digital index evaluation in the intelligent chiseling detection process are achieved through a laser displacement sensor and a visual sensor, equipment parameters are automatically adjusted through closed-loop feedback control when it is detected that the quality does not reach the standard, processing is achieved after discovery, automatic path planning based on a digital model is achieved, and the detection efficiency is improved. Real-time monitoring and automatic adjustment are achieved, and high automation of the whole chiseling core process is achieved; and a digital file containing key process parameters is generated for each precast beam, so that accurate quality tracing is realized.

The invention relates to a method for generating a personalized digital file. In particular, the method relates to the process of generating a file which represents a literary work, i.e. a personalized text, including corresponding and preferably likewise personalized images or drawings. The file can contain or represent the text and any images in a format which is suitable for printing or a format for electronic publishing in written form or as an audio file.

The invention discloses an agricultural non-point source pollution monitoring data quality evaluation method, and relates to the field of agricultural environment monitoring, an agricultural non-point source pollution area to be monitored is divided into a plurality of grid areas to be monitored, and a fixed monitoring unit is arranged in the physical center of each grid area; and the server creates a double-track digital file for each grid area, the double-track digital file comprises a static attribute and a dynamic attribute, the double-track digital file is stored in a database and updated according to a preset period, and an updated version record is retained. According to the method, a three-dimensional multi-index comprehensive scoring and fixed mobile monitoring collaborative verification mode is adopted, the key dimension of data quality is comprehensively covered, misjudgment is reduced, and the evaluation accuracy is improved. An index calculation method, weight configuration and threshold standard are clear, the process is clear and operable, and actual popularization and application are facilitated. And targeted rectification suggestions are output, so that the quality optimization of the monitoring data can be directly guided, the reliability of the monitoring data is guaranteed, and powerful support is provided for agricultural non-point source pollution abatement decisions.

The application belongs to the technical field of vehicle control system, and is a vehicle individualization adaptation system and method, which comprises: a perception layer for collecting facial images and human posture images, three-dimensional point cloud data, pressure distribution data, vehicle operation behavior data and vehicle motion state data; a decision layer for generating static physiological characteristic data, dynamic behavior characteristic data and driving scene data based on the data collected by the perception layer, generating or updating a user's individualized digital file based on the static physiological characteristic data and the dynamic behavior characteristic data, and generating an individualized parameter configuration set for multiple vehicle subsystems based on the individualized digital file, the dynamic behavior characteristic data and the driving scene data; and an execution layer for sending the individualized parameter configuration set to the subsystem controllers of the vehicle, and driving physical actuators and feeding back to the decision layer. The application solves the problem that the existing vehicle safety and comfort system cannot adapt to the individual differences and real-time states of different drivers.

An electronic apparatus (100) capable of suppressing an unnecessary increase in a size of a digital file whose authenticity is capable of being certified even if data is changed after generation is provided. A digital camera (100) that has an authenticity certification photographing mode in which an image file (309) whose authenticity is capable of being certified is generated, includes a system control unit (50) that, in a case where the digital camera has been set to the authenticity certification photographing mode and a plan, in which data appending is performed with respect to an XMP area (304), which has been excluded from a subject of authenticity certification, from among areas constituting the image file after the image file is generated, has been set, enlarges a size of the XMP area than when the digital camera has been set to a normal photographing mode and generates the image file.

The invention discloses an automatic acquisition and intelligent analysis digital archive management system in the tobacco industry, and belongs to the technical field of archive management. The system adopts a micro-service architecture constructed based on a J2EE technical system and a Spring Boot framework, and comprises a data acquisition module, a data storage module, a data arrangement module, a query utilization module, a borrowing management module, an authority management module and a digital processing module. The data acquisition module is in butt joint with a service system through a standard interface and performs four-property detection on the electronic archive; the data storage module adopts a distributed architecture of MySQL master-slave copying and Redis caching, and archive files are encrypted and stored by adopting AES-256; the data arrangement module automatically completes data cleaning, file classification and cataloguing through an intelligent algorithm; the query utilization module supports multiple query modes; and the authority management module realizes fine control based on an RBAC model. According to the invention, full-life-cycle digital management of science and technology archives is realized, the archive management efficiency is greatly improved, the management cost is reduced, and the archive data security is guaranteed.

The application belongs to the technical field of file processing, and particularly relates to a digital file rectification and correction method and system. First, a scanned file image to be rectified and corrected is read, and the file image is preprocessed, wherein the preprocessing at least includes white edge trimming and grayscale processing. Then, a Fourier transform is used to obtain an inclination angle alpha of the preprocessed file image, an outer boundary line of the file image and an inclination angle beta are determined through boundary fitting, and spatial affine transformation is used to correct the inclination of the file image. Then, a list of text pictures in the file image is extracted, and preset radical and / or character components are used to match the text pictures in the file image, to determine upside-down conditions of the file image, and to flip the upside-down file image to obtain a file image with correct text content and inclination angle. The application can process various file images, and real-time performance can meet actual requirements of current projects, and is convenient for application in digital file management.

The invention relates to the technical field of block chains, and discloses a block chain-based card surface pattern information management method and device, a medium and equipment, and the method comprises the steps: storing a digital file of a credit card surface pattern into a distributed storage system, and obtaining a corresponding content identifier; performing NFT casting by using the smart contract of the block chain, generating an unallocated card surface NFT, and recording the unallocated card surface NFT in the block chain; after the application of the user credit card is passed, the card surface NFT is bound with the user credit card, and then the state of the card surface NFT is updated to be allocated; and making an entity credit card based on the digitized file corresponding to the allocated card surface NFT, and transferring the ownership of the card surface NFT to the block chain address of the corresponding user after the entity credit card is activated. According to the method, the card surface pattern is bound with the life cycle of the credit card, so that the card surface pattern is converted from a static pattern to a digital asset which is synchronous with the physical card state, and the digital value bearing capacity of the credit card is improved.

A method can include, responsive to actuation of a control graphic of a rig control framework, selecting an identifier for a well; responsive to the selecting, automatically accessing a digital file associated with the identifier; responsive to the accessing, automatically extracting planned drilling parameters for the well from the digital file; during drilling of a length of the well, acquiring real-time data via the rig control framework; and, responsive to the acquiring real-time data for the length of the well, automatically generating depth-based chart graphics via the rig control framework, where the depth-based chart graphics include statistical distributions for actual drilling parameters based on the real-time data and indicia based on the planned drilling parameters.

Methods, apparatus, and processor-readable storage media for digital file similarity detection using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining a plurality of portions of at least one digital file; determining one or more spatial relationships and one or more sequential relationships associated with the plurality of portions within the digital file(s); generating at least one graph representation of at least portions of the digital file(s) based on the determined spatial relationship(s) and the determined sequential relationship(s); encoding one or more portions of the graph representation(s) using one or more artificial intelligence techniques; aggregating at least a plurality of the one or more encoded portions of the graph representation(s) into a spatial-temporal feature representation of the digital file(s); and performing similarity detection for the digital file(s) relative to one or more additional digital files based on the spatial-temporal feature representation of the digital file(s).

A method for authenticating a digital version of the Quran includes receiving a digital file containing a copy of the Quran therein, transmitting the received digital file to a first trusted party, reviewing, by the first trusted party, the copy of the Quran contained in the received digital file, 5 determining, by the first trusted party, that the copy of the Quran contained in the received digital file is an authentic copy of the Quran, marking the received digital file containing the authentic copy of the Quran as an approved file, digitally signing the approved file by a second trusted party and issuing a digital certificate of authenticity for the approved file, and timestamping the digitally signed approved file, the digital certificate of authenticity for the 0 approved file, and the security feature when the approved file contains text or images of the Quran.

The invention discloses a trigeminal neuralgia percutaneous puncture path planning method and system. The method comprises the following steps: acquiring skull CT (Computed Tomography) image data and MRI (Magnetic Resonance Imaging) image data of a target, and performing three-dimensional reconstruction to obtain an oval foramen bony model and a McLeod cavity three-dimensional model; determining an anatomical entry point, determining a bony channel constraint point based on an oval foramen bony model, and determining an ideal end point of a puncture path based on a McLeod cavity three-dimensional model; taking the anatomical entry point as a path starting point, taking the ideal end point as a path end point target, taking the bony channel constraint point as a path space constraint condition for path passing, and optimizing a target function to obtain an optimal puncture path; based on the McLeod cavity three-dimensional model space volume, determining an individualized balloon injection amount estimation range of a target; and storing the space coordinate and the direction vector of the optimal puncture path and the individualized balloon injection amount estimation range as a standardized digital file. According to the invention, the certainty and safety of the puncture path can be improved.

We provide the system. [Solution] A means of uploading digital files to a server, A means to analyze the uploaded file and extract the text, A means for analyzing important parts from extracted text and generating a summary, A means to automatically generate new charts and graphs as needed, A means of providing the generated summaries and figures in a subscribeable format, Means including pathways that provide access to purchases of detailed information and related materials, A system that includes this.