39 results about "Change tracking" patented technology

This application concerns software-based improvements to computer systems. It relates to an apparatus, method, or program that allows computer systems to manage content generated with artificial intelligence by providing mechanisms for representing and reasoning about the provenance of said content. The application discloses several embodiments in different practical contexts, including change tracking for legal document generation, version control for source code, and real-time collaborative document editing.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

The invention relates to the technical field of security defense and intelligent scheduling of power supply, and discloses an intelligent power supply and distribution centralized monitoring application data interaction method and system. Operation state data and scheduling behavior data are managed in a monitoring platform, and a logic change tracking mechanism is introduced, so that the intelligent power supply and distribution centralized monitoring application data interaction is realized. The whole process of scheduling instruction generation, path issuing and response feedback is recorded, and an auditable data chain with time logic and a causal structure is formed. Therefore, when the abnormal index is detected, the data chain can be automatically called to perform backtracking analysis on the scheduling behavior, the causal association between the abnormal cause and the scheduling behavior is determined, data support is provided for subsequent scheduling adjustment, the abnormal response intelligent level based on monitoring data and the interpretability of scheduling adjustment decision are improved, and the scheduling efficiency is improved. And therefore, the manageability, controllability and operation safety of power supply and distribution can be effectively ensured.

The invention provides a panel-based auxiliary home appliance quality inspection system, and relates to the technical field of intelligent home appliances, the panel-based auxiliary home appliance quality inspection system comprises a quality inspection processing system, and the quality inspection processing system comprises a mirror image universe simulation module, an ideological flow sensing module, an entropy change tracking module, a super-sensory collaboration module and a self-evolution algorithm module. According to the method, the operation data of the household appliances are collected in real time through the tablet equipment sensor, and the digital twinborn body is constructed in combination with the generative adversarial network, so that abnormal states in operation of the household appliances can be found in time, fault deterioration caused by delayed detection is effectively avoided, the real-time performance and efficiency of quality inspection of the household appliances are improved, and the quality inspection efficiency of the household appliances is improved. A convolutional neural network is adopted to analyze brain wave signals of a user, identify emotional features and adjust detection priorities, entropy change data are deeply analyzed and fault modes are mined through wavelet transform and data mining technologies, the probability of false alarm and missing alarm is remarkably reduced, and a more accurate fault prediction and personalized solution is provided.

The invention discloses a system and a method of a carbon evidence anchor point technology, which relate to the technical field of carbon emission monitoring, and form a time differential set Tdif capable of reflecting carbon data generation time characteristics and a modification track set Trac capable of reflecting a data modification propagation relationship by performing time sequence analysis and change tracking on an original data set Cdat. A behavior fingerprint set Fing is established, so that the carbon data generation process has unique behavior fingerprint features; performing consistency comparison on the behavior fingerprint set Fing and the reference fingerprint set Base, generating a fingerprint deviation result Devi, and forming an anchor point evidence set Anch according to the fingerprint deviation result Devi, so as to identify whether the carbon data generation behavior deviates from a normal generation mode or not; and finally, the anchor point evidence set Anch is bound with the corresponding carbon data record and written into a carbon evidence index structure, so that the problem that only the carbon emission value is recorded and the authenticity of the data generation process cannot be proved in the prior art is effectively solved.

This log-based data-change tracking method may comprise the steps of: collecting raw data generated by one or more applications; storing raw log information that matches the raw data in a data repository; storing, in the data repository, conversion log information that matches with conversion data analyzed on the basis of the raw data by an operation of an application; storing, in a log repository, application log information generated on the basis of the raw log information and the conversion log information stored in the data repository; and storing, in a lineage repository as metadata, matching log information generated by matching the raw log information and the conversion log information on the basis of the application log information.

The present invention discloses a block-level data backup system, which includes a console, a client, and a backup server. The client includes a client service module, a backup task execution module, and a block change monitoring module that are connected in sequence. The console is used to manage the client and the backup server, formulate a backup plan and send it to the client and the backup server. The client service module is used to receive the full backup or incremental backup plan of the user. The backup task execution module is used to execute the backup task. The backup task execution module includes a full backup sub-module and an incremental backup sub-module, and each sub-module is implemented through a main thread, a read thread, a compression thread, an encryption thread, and a write thread. The block change monitoring module is used to monitor the block changes, save the block change information in the form of a bitmap and provide it for the backup execution module to use. The present invention uses block-level change tracking technology to monitor the changed blocks of the volume to be protected, and can obtain accurate change data, thereby ensuring the consistency of the backup data.

The invention discloses a software demand tracking and management method based on a demand chain, which comprises the following steps: carrying out standardized expression and entry disassembly on demands in an original demand book to obtain demand entries, and adding demand identifiers to the demand entries to obtain standardized demand baselines; establishing a demand change tracking relation among the software case model, the analysis model, the implementation model and the deployment model according to the standardized demand baseline, and constructing a demand tracking chain and a demand tracking matrix according to the demand change tracking relation; according to a preset change demand source, carrying out change influence propagation path analysis based on the demand tracking chain and the demand tracking matrix, and constructing a change influence tree; and according to the change influence tree and the demand tracking chain, demand change work is carried out according to demand change control requirements on demand entries related to the change, and a new demand tracking chain is obtained. The method is simple and easy to implement, wide in application range and fine in demand management process, the development period of software can be effectively shortened, and the development efficiency of the software is improved.

The invention discloses a data backup method and computer equipment, relates to the technical field of data backup, and is used for backing up data in the equipment through a backup device based on block change tracking (CBT). The method comprises the steps of obtaining storage information of to-be-backed-up differential data in a first storage device, wherein the differential data comprises data updated in a target time period; according to storage information of the differential data in the first storage device, determining a bitmap, so that a target position in the bitmap indicates the differential data; and backing up the data indicated by the target position in the bitmap to the second storage device.

The invention relates to the technical field of data analysis, in particular to a microstructure change tracking method based on chip aging analysis, and the method specifically comprises the steps: obtaining chip factory structure data, importing the data into a chip change prediction model, obtaining an initial aggregation stability index, carrying out the evaluation of the aging condition of a chip, and entering a chip maintenance and renovation process if the evaluation result is a to-be-renovated grade; if the evaluation result is a to-be-recycled grade, constructing a physical field coupling migration model, and analyzing and outputting the initial instantaneous migration speed of noble metal atoms on the chip; interference analysis is conducted on adjacent precious metal atoms, correction compensation is conducted on the instantaneous migration speed, the aggregation density condition of the precious metal atoms at all recovery evaluation point positions on the chip is obtained through tracking, and high potential points of the chip are screened out. According to the invention, the problem of low identification efficiency of the high-potential recovery point on the aged chip in the prior art is solved.

The invention provides a clinical test source data traceability tracking operation system, and relates to the technical field of drug clinical tests. Comprising a data identification and index end, a data acquisition and recording end, a data change tracking end, a data traceability and traceability end, a data verification and auditing end, a data access and authority control end, a data backup and recovery end and a data report and analysis end. The data identification and index end, the data acquisition and recording end, the data change tracking end, the data traceability and tracing end, the data verification and auditing end, the data access and authority control end, the data backup and recovery end and the data report and analysis end are in data communication through a private network and a private line network. The system aims at monitoring and managing links such as sources, acquisition, recording and change of clinical test data so as to ensure the reliability and credibility of the data.

The invention relates to a method, a device and a computer program for event-based execution of a programmable automation device (10) wherein the method comprises: receiving a change notification (500) indicating a changed value of an input (50) of the automation device (10); updating a data point of an input process image (100) of the automation device (10), which data point is assigned to the input (50), on the basis of the modified value; and setting a change indicator (Chg) of a data point of the input process image (100), the change indicator indicating that the data point has been updated. According to the invention, the result of higher performance can be realized under the condition of remarkably saving resources (especially electric energy consumption), especially in the application field in which the control data is rarely changed and / or the control data is changed in a very small range.

The invention discloses a data log full-link tracking method and device, and the method comprises the steps: defining an operation log annotation according to a target strategy, and the target strategy comprises a batch insertion strategy, a single insertion strategy, a deletion strategy or an updating strategy; and according to the operation log annotation, performing full-link tracking on the data operation function to obtain a tracking result. According to the method, full-link tracking of the data logs can be realized through various strategies, the operation semantic recognition accuracy and the change tracking capability are improved, and the maintenance cost is reduced. The method can be widely applied to the technical field of computers.

The application relates to the technical field of data analysis, and is a microstructure change tracking method based on chip aging analysis, and specifically comprises the following steps: obtaining chip factory structure data is imported into a chip change prediction model, an initial aggregation stability index is obtained, chip aging condition evaluation is carried out, if the evaluation result is a to-be-refurbished level, a chip repair and refurbishment process is entered; if the evaluation result is a to-be-recycled level, a physical field coupling migration model is constructed, the initial instantaneous migration speed of noble metal atoms on the output chip is analyzed, adjacent noble metal atoms are interfered, the instantaneous migration speed is corrected and compensated, the aggregation density of noble metal atoms at each recycling evaluation point position on the chip is tracked, and a high-potential point of the chip is screened out. The application solves the problem of low identification efficiency of high-potential recycling points on an aging chip in the prior art.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

One or more embodiments of the invention provide a risk management and control method and device. According to the method, at least one service scene and a service link topological relation corresponding to each service scene are firstly constructed, and then a core service node in the service link topological relation is determined according to a preset screening index; then, carrying out change tracking on the core service node through a unified change platform to obtain change data; according to a change type corresponding to the change data, configuring risk control labels corresponding to the change contents; in response to a received change risk query request input by a user, generating change information corresponding to the change risk query request; and aiming at each change content in the change information, performing risk analysis by utilizing a risk analysis method corresponding to each configured risk control label, and generating risk information corresponding to the change information.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

The invention relates to the field of part machining recognition, in particular to a precise recognition method and device for automobile part machining. The method comprises the following steps: obtaining a part processing monitoring video, and carrying out dynamic video imaging parameter adjustment and full video delay synchronization processing to obtain a delay synchronization optimization video; according to the delay synchronization optimization video, carrying out visual identification on the micro structure of the part, and extracting a three-dimensional morphological parameter of each feature point; performing frame-by-frame optical flow change tracking on the delay synchronous optimization video, and performing morphological parameter change calculation on the three-dimensional morphological parameters to obtain an overall processing change state of the part; and processing path change logic mining is carried out according to the delay synchronous optimization video, three-dimensional time sequence change modeling is carried out on the overall processing change state of the part, and a real-time processing change model of the part is constructed. The machining precision and production efficiency of parts are improved, the rejection rate is remarkably reduced, and the product quality is improved.

The embodiment of the invention discloses a file clause change tracking method and device, equipment and a storage medium. The method comprises the steps that clause-level structured analysis is carried out on a first version file and a second version file based on a pre-constructed knowledge graph, change nodes in the knowledge graph are obtained, and the version of the first version file is earlier than that of a second text file; determining an association node candidate set of the change node according to the relationship between the nodes in the knowledge graph every time the change node is determined; determining whether influence nodes of the change nodes exist in the association node candidate set or not according to the similarity of the association nodes and the change nodes; if yes, establishing an influence edge between the change node and the influence node, and determining the influence node as a new change node; and if not, tracking the change content of the second version file along all the influence edges. And the efficiency and comprehensiveness of change content identification are improved.

The application discloses a kind of multi-wheel independent steering assist force tracking control methods, process as follows: the target assist force of each steering wheel is calculated respectively, the maximum value of unit time vehicle assist force change, the total assist force change of vehicle, the maximum value of assist force collaborative change, the total amount of the absolute proportion of the relative difference of instantaneous assist force, the change multiple of the maximum allowable change of assist force, the scaling factor of the total amount of the absolute proportion of the relative difference of instantaneous assist force, the maximum value of the scaling factor of the total amount of the absolute proportion of the relative difference of instantaneous assist force, instantaneous assist force change tracking coefficient, assist force change tracking amount, assist force change tracking amount and current time instantaneous target assist force.The application also discloses a kind of multi-wheel independent steering assist force tracking control device.The application can solve the problem that each steering wheel reaches target assist force time is different, causes each steering wheel steering mechanical damage and working life reduction caused by assist force change too fast, can be widely applied in vehicle control field.

The invention discloses a disease-preventive home health management system and method, and relates to the technical field of health management, and the system comprises a data misjudgment analysis end, a monitoring result early warning end and a dynamic change tracking end. The data misjudgment end is used for collecting physiological data of a user in real time, providing traditional Chinese medicine physique assessment and health suggestions for the user in real time according to health risks, and generating a personalized health management scheme; the monitoring result early warning end is used for analyzing whether the user data at the current moment has an early warning symptom or not in real time according to the execution state of the health management scheme; and the dynamic change tracking end is used for accurately simulating experience of a physician by calculating multi-source chromatic aberration of the user at different moments, and adjusting a health management scheme and a personalized disease prevention scheme in real time. According to the preventive disease home health management system and method, the execution accuracy of the health management scheme is ensured, the possible early symptoms of the user are prevented from being neglected, the accuracy of experience of a simulation doctor is improved, and the probability of health identification deviation is reduced.

The invention provides an online document processing method and system integrating a form control and change tracing in the technical field of intelligent cooperative processing of enterprise-level standardized documents. The method comprises the steps that S1, a reference document is obtained and analyzed to obtain a document structure, and a document template, a configuration directory function and an interactive form control are generated based on the document structure; s2, editing operation of adding or deleting the text content is carried out in the text area, a text identifier is generated for the text content in the editing operation process, a text comment is generated for the text content or the corresponding text content is copied, and filling operation is carried out on an interactive form control in the text area; s3, detecting the text content, and displaying a text identifier, a change record and a detection result in a functional area; and S4, correcting the text content based on a detection result in combination with a directory function, and exporting the corrected text content as a local document. The method has the advantages that the normalization, controllability and efficiency of document processing are greatly improved.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

This invention relates to the field of image data processing technology and discloses a method and system for tracking and analyzing dynamic changes in the endometrium based on image registration. The method includes: extracting the boundary pixel coordinates of the target region in a first image frame and a second image frame, and constructing a discrete coordinate chain with a neighborhood index relationship; constructing a spatial distance field representing pixel spatial displacement constraints based on the target region of the second image frame; extracting the gradient vector of the discrete coordinate chain in the spatial distance field, and using second-order central difference to decouple the displacement bias into a normal driving component and a tangential homogenization component; generating a spatial deformation field through vector superposition, and performing coordinate resampling on the first image frame. This invention utilizes an orthogonal decoupling mechanism to decouple spatial mapping logic from pixel features, effectively constraining pixel distribution density during deformation, solving the problems of spatial folding and topological tearing under large-scale nonlinear deformation, and improving image tracking stability.

The invention discloses an intelligent change management system and method based on risk assessment. The system comprises a change application module, a risk assessment module, a change approval module, a change tracking alarm module and a change verification module. According to the method, changes are automatically divided into emergency, conventional or significant types through a dynamic classification engine, and a differentiation auditing process is matched; performing quantitative risk assessment by using an analytic hierarchy process and a risk matrix to realize risk identification, analysis and rating; the NLP technology is adopted to automatically fill a structured change list, and the information processing efficiency is improved; full-process tracking and visual monitoring are carried out in the change implementation process, and an alarm is automatically given when abnormity occurs; after the change, trial production and mass production verification are sequentially executed and compared with the dynamic base line, and it is ensured that the change effect is stable and reliable. According to the invention, the problems of low efficiency, weak risk control and poor collaboration in the traditional change management are effectively solved, and the intelligent and structured management and control of the change of the full life cycle are realized.

In one embodiment, distributed data storage systems and methods integrate a change tracking manager with scalable databases. According to one embodiment, a computer implemented method comprises integrating change tracking of storage objects into the distributed object storage database that includes a first database of a first type and one or more chapter databases of a second type with the distributed object storage database supporting a primary lookup index and a secondary lookup index in order to locate a storage object. The method includes recording in a header of a chapter database a network topology for connecting a bucket having the chapter database to a first peer bucket when a new mirror to the first peer bucket is being established, and recording a first directive into the header of the chapter database to express a type of content to be mirrored from the bucket to the first peer bucket.

The present disclosure relates to the technical field of smart home device, and discloses a smart home device change tracking method and system, which detects the communication network level between the data source device and the subscription device and configures a differentiated benchmark push period accordingly, so that the push strategy is adapted to the link bandwidth and delay characteristics, thereby avoiding high-bandwidth link resource idling and low-bandwidth link overload congestion. By dynamically adjusting the benchmark push period according to the trust weight, and executing the push in an event-triggered manner when the device state changes, a mechanism is realized in which the tracking frequency is adaptively adjusted according to the link quality, and the state change can be synchronized without waiting for the period to expire, thereby reducing the redundant communication overhead caused by a static push strategy. By continuously feeding back the communication result of each push to the trust weight and readjusting the current push period, a closed-loop adaptive update of the tracking push strategy based on the measured communication quality is realized.

An apparatus for detecting a potential vehicle intruding into a driving path, according to the present embodiment, comprises: an image obtainment unit that obtains a forward image from a camera mounted on a vehicle and preprocesses the forward image; a forward vehicle detection unit that inputs the preprocessed forward image into a pre-prepared object detection model, to detect a forward vehicle; a vehicle wheel detection unit that, if the detected vehicle is located within a preset region of interest, detects each wheel region of the vehicle by using the object detection model; an ellipse parameter extraction unit that performs ellipse fitting on each detected wheel region to extract an ellipse parameter; a change tracking unit that calculates an ellipse feature value by using the extracted ellipse parameter and tracks the degree of change in the ellipse feature value; and a dangerous vehicle detection unit that determines the presence of a potential risk on the basis of the degree of change in the ellipse feature value and detects a dangerous vehicle on the basis of a determination result.

The invention relates to a production-manufacturing-oriented component view conversion method, belongs to the field of BOM (Bill of Material) view management and control in product full-life-cycle management, and meets diversified view conversion requirements in a production-manufacturing scene by defining configurable view types, BOM types and standby BOMs. The conversion efficiency from the EBOM to the MBOM is improved through automatic downstream branch addition and sub-component synchronization; by constructing the incidence relation of upstream and downstream components and a change tracking mechanism, it is ensured that when data are inconsistent, rapid sensing and processing can be conducted; through visual peer-to-peer relationship operation and undeletable historical records, traceability of view conversion full links is realized. According to the method, the problems of low efficiency, data disorder and difficulty in tracing in a traditional method are solved, and the accuracy and collaboration of component data in the production and manufacturing link are guaranteed.

The invention is suitable for the technical field of inland river ports, and provides an inland river port hydrodynamic change tracking prediction and evaluation method, which comprises the following steps: constructing a quarterly-level elevation change field of a river channel; wherein the quarterly-level elevation change field of the river channel is composed of a plurality of grids, and each grid corresponds to quarterly-level elevation change data of different areas in the river channel; adjusting the grid density in the quarter-level elevation change field of the river channel to form an adjusted quarter-level elevation change field of the river channel; a two-dimensional hydrodynamic model is obtained, and parameters of the two-dimensional hydrodynamic model are updated; and inputting the adjusted quarter-level elevation change field of the river channel into the updated two-dimensional hydrodynamic model to output a hydrodynamic condition prediction result in the water area range of the inland river port, and calculating a hydrodynamic health index in the water area range of the inland river port to measure the hydrodynamic health degree in the water area range of the inland river port. The timeliness and accuracy of the prediction result can be improved.