20results about How to "Realize Tracking" patented technology

The invention discloses a Linux-oriented vulnerability repair verification method and system and a medium. The method comprises the steps of creating a test application form for a CVE vulnerability patch in a task management system, preparing a test environment for CVE vulnerability repair verification as well as a required test table, a software source and a test strategy file, and calling a tool interface to automatically trigger an assembly line; the assembly line executes the test suite in the test environment based on the test table, the software source and the test strategy file and collects an execution state, and if the execution state is failure, automatic retry can be carried out on the CVE vulnerability based on manual triggering; and finally, generating a report file, writing a verification result for the test application form in the task management system, and if the verification result is that verification is passed, issuing a service pack of the CVE vulnerability. The invention aims to realize efficient, traceable and extensible Linux vulnerability repair verification, realize full automation and intelligence of the vulnerability verification process, and improve the accuracy, traceability and expandability of verification.

The application discloses a kind of wild fire smoke cluster and its boundary vector automatic identification method, system, storage medium and electronic equipment, belong to satellite remote sensing and disaster monitoring technical field.Method includes: obtaining satellite active fire point, fire event and UVAI data;Fire source area is positioned based on fire event geographic location and initial plume pixel is marked;The spatially continuous smoke cluster connected domain is identified by iterative region growing algorithm;According to the specific distribution form of connected domain pixel in satellite pixel matrix, the accurate closed boundary vector is automatically generated using matching geometric algorithm;Finally, using multiple criteria, the spatial isolated independent smoke cluster is screened out.The application avoids the defects that traditional image method is easily disturbed by environment from physical principle, realizes fully automated processing without training data, and can output vector boundary that can be directly used for diffusion and emission evaluation, significantly improves the accuracy, automation degree and application value of wild fire smoke cluster monitoring.

The application discloses a kind of blind watermark embedding and extraction model training method and device.The method comprises: satellite image tile and watermark binary image are input to the blind watermark embedding and extraction model to be trained;The satellite image tile is processed, and the satellite image feature of the satellite image tile is obtained;The watermark binary image is processed, and the watermark feature of the watermark binary image is obtained;The satellite image feature and the watermark feature are connected and processed, to generate watermark image;According to the watermark image, the satellite image tile and the watermark binary image, the loss value of the blind watermark embedding and extraction model to be trained is calculated;In the case where the loss value is in the preset range, the trained blind watermark embedding and extraction model to be trained is used as the final target blind watermark embedding and extraction model.The present application can improve the imperceptibility of embedded watermark, and the production efficiency of information product.

This application discloses a code scanning method, electronic device, storage medium, and computer program product, relating to the field of image processing technology. The method includes, in response to a code update, identifying a changed file representing the code update and performing change dependency parsing on the changed file; if the parsing result indicates that the changed file has dependencies, then determining the dependent files corresponding to the dependencies based on the dependency graph corresponding to the changed file, wherein the dependency graph represents the logical dependencies between the application layer, business logic layer, and data processing layer; determining a change set containing the changed file and all dependent files, and scanning and analyzing the updated code of the changed file within the change set and the code in the dependent files that has a strong correlation with the updated code. This application improves the accuracy of code scanning.

This invention belongs to the field of textile fiber technology and discloses a radiation-cooling composite yarn and its preparation method. The radiation-cooling composite yarn includes an elastic core, an intermediate covering layer, and an outer layer; the intermediate covering layer covers the outside of the elastic core; the outer layer covers the outside of the intermediate covering layer and includes a radiation-cooling nanofiber membrane. This invention provides a radiation-cooling composite yarn comprising an elastic core, an intermediate covering layer, and an outer layer arranged in three layers; the outermost radiation-cooling nanofiber membrane can efficiently reflect sunlight and radiate heat outward through atmospheric windows, achieving passive cooling of the fabric; simultaneously, when the human body temperature is lower than the outdoor temperature, the fabric has a certain degree of heat retention due to the presence of still air inside the elastic core of the yarn; based on the yarn composition, the movement of the human body can be tracked by utilizing the law of yarn elongation change and its resistance change.

The utility model discloses a carton paging FRID (radio frequency identification) electronic tag plane labeling machine which mainly comprises a rack, a paging component, a label conveying device, a labeling device, an RFID reader-writer, a code reading detection component, a removing conveying component and a collecting conveying component. The paging part is located on the left side of the equipment, and the labeling conveying part is installed above the rack and connected with an outlet of the paging part. And the labeling device is mounted above the label conveying device. And the RFID reader-writer is fixedly mounted on the right side of the labeling device. The code reading detection assembly is fixedly installed below the labeling conveying assembly. An inlet of the removing conveying component is connected with a label conveying outlet, and the collecting conveying component is located on the right side of the removing conveying component. According to the labeling conveying device, the labeling conveying number can be increased or decreased according to requirements by labeling conveying users, so that the labeling device is suitable for labeling cartons with different areas. Through the swinging removing conveying component, defective products are removed accurately and timely, the production efficiency is improved, and real-time monitoring and tracking, safe anti-counterfeiting and traceability of packaged products are achieved.

The invention belongs to the technical field of biological genes, and discloses a method for identifying RNA interaction protein based on a Turbo ID technology and an MCP / MS2 system, the method can be used for identifying protein interacting with RNA in vitro or in vivo, and the method specifically comprises the following steps: firstly, respectively constructing RNA expression vectors inserted with MS2 tags, then constructing fusion protein vectors expressing MCP-Turbo ID, and finally constructing fusion protein vectors for expressing MCP-Turbo ID; the method comprises the following steps of: inserting RNA (Ribonucleic Acid) into an MS2 tag, transgenosis into a plant receptor by utilizing an agrobacterium tumefaciens mediated genetic transformation method to obtain a transgenic plant material expressing MCP-Turbo ID, combining the RNA inserted with the MS2 tag with the MCP-Turbo ID in vivo / in vitro by utilizing a hybridization or in-vitro incubation method, further enabling the Turbo ID to be adjacent to the RNA, biotinylating the RNA binding protein, and obtaining a transgenic plant material expressing the MCP-Turbo ID. And then enriching biotinylated protein by adopting streptavidin magnetic beads, and identifying and analyzing through Western Blot and mass spectrometry. The method not only solves the problem that the interaction protein of specific RNA in a living cell environment cannot be effectively identified in the prior art, but also can capture a transient or low-affinity RNA-protein interaction relationship.

The invention discloses a cooperative control method for a floating type photovoltaic-hybrid energy storage system, and the method employs a flexible connection and semi-tensioning mooring design, and is suitable for a 0-degree head wave long-period working condition. Improving maximum power tracking control, and inhibiting power point oscillation based on a partition variable step size and a prediction power algorithm; hybrid energy storage power is distributed through a low-pass filter, a storage battery and a super capacitor cooperatively process high / low frequency fluctuation, and the service life is prolonged by combining charge partition management; a virtual synchronous generator VSG adaptive control strategy is provided, an improved particle swarm optimization algorithm is adopted to optimize a J / D initial value, and frequency fluctuation is dynamically suppressed; an optical storage grid-connected system is established for verification, and the VSG technology enables the power frequency fluctuation to be quickly stabilized, thereby guaranteeing the stable operation of the system.

The application relates to the technical field of atmospheric pollution monitoring, and provides a method and system for monitoring atmospheric environmental particulate matter pollution based on multi-source data fusion. The method comprises the following steps: accessing an industrial management database to establish a pollution source dataset; configuring a sensing grid in a target area to perform multi-source monitoring and identification of atmospheric pollution and establish a pollution identifier; configuring a flight task of a UAV according to the pollution identifier, performing flight operation, and establishing an additional dataset; reconstructing the identifier according to the additional dataset, and performing correlation matching in combination with the pollution source dataset; performing source tracing evolution authentication according to the matching result, and reporting a pollution monitoring result, so that the technical problem that the dynamic source tracing accuracy of pollution sources is low and the pollution evolution process cannot be comprehensively and accurately reflected due to insufficient integration of multi-source heterogeneous data in existing atmospheric pollution monitoring is solved, the technical effect that accurate monitoring and positioning of atmospheric environmental particulate matter pollution are realized through multi-dimensional data fusion and dynamic monitoring of a UAV is achieved, and the source tracing capability is improved.

The invention relates to a multi-coal-type coal conveying method and system based on fuzzy control, and the method comprises the steps: obtaining a coal feeding triggering threshold value coefficient, a coal feeding rate threshold value coefficient and a coal feeding stopping threshold value coefficient through a fuzzy control algorithm according to coal bunker system data obtained in real time; and on the basis of the coal feeding triggering threshold value coefficient, the coal feeding rate threshold value coefficient and the coal feeding stopping threshold value coefficient, starting and stopping of coal conveying operation are controlled. When coal conveying operation is started, a coal feeding strategy and a coal feeding strategy are executed, according to the coal feeding strategy, multi-coal-type coal feeding is conducted according to the coal number, and according to the coal feeding strategy, coal materials are consumed from the bottom layer of the coal bunker, and the coal quality state of the coal bunker is updated in real time. The problem of how to improve the coal conveying accuracy of multiple coal types and multiple coal bunkers is solved.

The invention discloses a mantis shrimp eye imitating polarization flexible navigation system, and belongs to the technical field of underwater vehicle navigation. The system comprises a horizontal rotating base assembly, a support assembly, a spherical polarization sensing assembly and an eyestalk-imitating manifold protective cover. An underwater vehicle butt-joint base plate of the horizontal rotating base assembly is fixedly connected with the surface of the underwater vehicle, and a driving mechanism is integrated in the horizontal rotating base assembly; a vertical shaft of a Y-shaped bracket of the bracket assembly penetrates through a mounting hole in the upper surface of the horizontal rotating base assembly and is axially limited; bearing seats are arranged at the tail ends of two horizontal arms at the top of the Y-shaped bracket, and the bearing seats are matched with the spherical polarization sensing component to form rotatable mechanical connection, so that the spherical polarization sensing component is endowed with pitching motion capability in a vertical plane; the whole eyestalk-like manifold protective cover wraps the support assembly and the spherical polarization sensing assembly and is fixedly connected with the horizontal rotating base assembly. According to the invention, efficient sensing and rapid tracking of the underwater polarized light field are realized.

The application provides a non-contact eye movement tracking device, a control input system and a method, and belongs to the technical field of visual tracking. The device comprises a sensing interface array and a wearing device, the sensing interface array is attached to the wearing device, the sensing interface array comprises sensing electrodes and a transparent support layer, the sensing electrodes are attached to the transparent support layer, the sensing electrodes are covered with dielectric material, the surface of the dielectric material can maintain static electricity and generate an electric signal when the eye movement is performed. The device uses a transparent sensing interface array placed in front of the eyes, generates mutual induction with the fluctuation movement of the skin around the eyes in the form of a space electric field when the eyes move, and couples and decodes the multiple signals generated by the mutual induction, so that accurate identification of blinking and eyeball rotation is realized, and a mouse input system controlled by eye movement is formed.

The invention discloses a deep sea temperature-salinity chain observation system suitable for ocean temperature-salinity-depth observation, and relates to the technical field of ocean observation. Comprising a sea surface positioning control module used for performing positioning, motion control and data receiving on a temperature-salt chain observation module; the temperature-salt chain observation module is used for collecting observation data and transmitting the observation data to the shore-based data center through the sea surface positioning control module; the shore-based data center is used for data processing, data storage and distribution, system monitoring, system command and task planning; the sea surface positioning control module comprises three sea surface positioning beacons, and the sea surface positioning beacons are arranged at different positions of the sea surface of an observation sea area to form a triangular positioning reference network. According to the invention, long-term, layered, fixed-depth and large-range self-adaptive observation of thermohaline of an upper layer ocean spring layer and a middle bottom layer ocean in a specific sea area can be realized, and data can be transmitted back in real time.

The present application relates to the technical field of knowledge graph, in particular to a kind of associated analysis method of fusion multi-source heterogeneous enrollment data, comprising the following steps: extracting subject, predicate and object triple form enrollment data from educational administration system and competition registration system, configure timestamp or time effective interval for each triple group.The present application integrates multi-source heterogeneous data such as educational administration system and competition registration system, and configures timestamp for each record to sequence alignment, constructs time sequence knowledge graph that can dynamically reflect the development history of students, based on time perception graph, deduces dynamic evolution function describing the continuous change of the state of each entity with time, realizes the tracking of student state, and traverses and filters the path from student to admission result in the graph, and aggregates to generate high-value evolution path pattern with universal significance, which provides objective data-driven benchmark for evaluation.

The application relates to the technical field of data privacy protection, and discloses a supply chain-oriented private data protection method, which comprises the following steps: dividing supply chain participants into three layers of core enterprises, first-level suppliers and second-level suppliers, and deploying a hierarchical network topology and a blockchain smart contract system. Each participant injects local sensitive data by using differential differential privacy; Fisher information matrix is used to grade gradients, and Paillier, BFV homomorphic encryption and a secure aggregation protocol are used to perform hybrid encryption and aggregation on key, important and secondary gradients respectively, and malicious gradient detection is performed; a quality-weighted scale self-adaptive cross-layer aggregation strategy is used to update a global model; and a blockchain is used to store and prove the output of the auditable collaborative training record. The application can realize supply chain multi-level collaborative privacy protection model training under the premise of protecting original data from being out of the domain, and can balance the privacy protection strength and the calculation efficiency, and provide full-process auditability.

This invention relates to the field of data processing, specifically to an intelligent diagnostic processing method and system for equipment fault data. It includes: acquiring historical equipment fault events; constructing a fault decision tree based on these events, the construction process of which involves: extracting features from time-series data in each window to form feature vectors; clustering all feature vectors to convert each historical equipment fault event into a symbolic sequence; grouping symbolic sequences with the same cause label into the same group to obtain grouping results; using the normal state of all historical equipment fault events as the root node, iteratively generating nodes at each level of each decision branch; converting real-time equipment fault data into real-time symbolic sequences, matching the paths corresponding to the real-time symbolic sequences to obtain the target path, and calculating the probability of equipment fault risk based on the target path. This invention can improve the timeliness of responding to equipment fault events.

The application relates to the field of mobile communication security technology and discloses a regional edge number identification method and system, which comprises the following steps: acquiring signaling data of a mobile terminal and generating signaling trajectory data after preprocessing; acquiring all base stations in a key area and their position distribution according to the signaling trajectory data; calculating the dynamic weight of each base station relative to the center point of the area based on all the base stations in the key area; constructing a daily frequency space-time feature matrix based on the signaling trajectory data and the dynamic weight of the base stations; constructing a monthly frequency space-time feature matrix based on the signaling trajectory data; calculating a number edge index based on the daily frequency space-time feature matrix and the monthly frequency space-time feature matrix, and accurately identifying the edge number based on the number edge index. The application realizes accurate identification of the edge number of the key area based on the characteristics of the mobile phone signaling data of the user in the communication data, combined with multi-dimensional feature analysis of the user, a dynamic base station weight model and four-dimensional feature collaborative decision-making.

The present application relates to a foldable interactive photovoltaic and photo-thermal system for a travel trailer, belonging to the field of new energy technology. The present application comprises a crank rocker composite sliding guide rail folding system, a PVT photovoltaic and photo-thermal system, a vibration isolation and light tracking system; the crank rocker composite sliding guide rail folding system is used to realize the unfolding and folding of the photovoltaic panel; the PVT photovoltaic and photo-thermal system is used to convert solar energy into electric energy and heat energy; the hierarchical damping system of the vibration isolation and light tracking system is used to buffer the bumps and shocks during the driving of the trailer; the vibration isolation and light tracking system is used to adjust the pitch angle and rotation angle of the photovoltaic panel. The present application integrates photovoltaic power generation and photo-thermal recovery through PVT technology, combines with electric / thermal dual energy storage modules to realize energy complementation; designs a lightweight folding structure to expand the heat collection area while adapting to the roof space limitation; optimizes the environmental adaptability of the system to improve the stability in complex outdoor scenarios.

The invention relates to the technical field of material inventory data management, discloses a material inventory data management method and system, and realizes comprehensive tracking of material operation by obtaining a material operation request and associating the material operation request with an operation voucher. The material identification information and the current state information are inquired from the plurality of material management systems and are compared, so that a uniform material identity can be determined according to inherent attributes of the materials, and the problem of inconsistent data sources caused by incompatible material codes of the plurality of systems is effectively solved.

The application discloses a logistics package full-process intelligent tracing method, comprising the following steps: S1, constructing a sensor network to collect information of each stage of the logistics package, and preprocessing to form a data unit set; S2, performing feature mapping on the data unit set, generating a state vector and constructing a package state sequence; S3, constructing a process knowledge graph based on the package state sequence, and establishing a directed correlation relationship among the package, nodes and operation behaviors; S4, encoding the correlation relationship of the knowledge graph, writing the state change into a blockchain to form a tracing account book; S5, checking the package state evolution path based on the blockchain account book, and generating credible circulation path data; S6, performing graph structure analysis on the credible circulation path, identifying abnormal state nodes and positioning abnormal processes; and S7, outputting the full-process tracing result of the logistics package. The application realizes credible tracing and accurate positioning of abnormal processes of the logistics package in the full process, and significantly improves the data security and tracing efficiency.