42results about How to "Resolve integrity" patented technology

The invention discloses a large model knowledge base construction method based on multi-granularity retrieval. The method comprises the steps of obtaining a target text and analyzing a document structure, splitting and reorganizing text data according to three levels of titles, fragments and sentences, and constructing three levels of knowledge of the titles, the fragments and the sentences; using a large language model to construct a generative index as question-level knowledge according to the sentence-level knowledge; using a vector model to generate a first vector representing index keys of fragment-level knowledge and / or sentence-level knowledge, and a second vector representing index keys of title-level knowledge and / or question-level knowledge; and respectively storing the first vector and the second vector into a vector database, and storing the index values and the index types corresponding to the first vector and the second vector into a relational database. According to the method, multi-granularity document knowledge base construction is achieved, the expression modes of knowledge under different granularities are expanded, the accuracy of user query and knowledge matching is improved, and the problem that information is lost or incomplete in an existing method is solved.

The invention provides an information management method and system for an access control card chip. The method comprises the following steps: providing an anonymous identifier, initializing an authentication process, and laying a foundation for privacy protection and a data link; mutual trust authentication of the access control card and the equipment is completed, and authentication challenge data is provided for follow-up behavior recording and tracing; based on a result and challenge data generated after authentication is completed, generating a complete encryption behavior record and establishing a chained hash structure; storing the encrypted behavior record and the chained hash value locally or synchronizing the encrypted behavior record and the chained hash value to a server to ensure the reliability and traceability of the behavior record; and detecting abnormal behaviors and supporting traceability verification by using complete behavior chain data. Dynamic identity generation, encryption behavior chain storage and a bidirectional authentication mechanism are integrated in the access control card chip, so that the privacy protection capability, the safety and the tracing efficiency of the access control system are remarkably improved.

The invention discloses a multi-source traffic data information extraction and intelligent responsibility judgment method, system and device, and relates to the technical field of traffic accident data processing and analysis, and the method comprises the steps: inputting traffic accident related data into a pre-constructed multi-modal large model, and generating a brief description text of traffic accident passing; retrieving legal provisions related to the traffic accident from a pre-constructed legal knowledge base according to the brief description text; and inputting the brief description text and the legal provisions into a pre-constructed Traffic-T5 model, and automatically generating a responsibility affirmation result. According to the method, unified modeling and processing are performed on the text and image data by adopting the multi-modal large model, the efficiency and accuracy of accident information extraction are improved, the multi-modal large model is optimized, the understanding and analysis ability of the multi-modal large model on incomplete traffic accident data is enhanced, and a legal knowledge base is combined, so that the method is suitable for popularization and application. Dynamic retrieval and application of traffic laws and regulations are realized, and the responsibility division result is ensured to have a basis.

The invention relates to the technical field of information security, in particular to a database tamper-proofing method and system based on a trusted computing environment, and the method comprises the steps: S1, receiving data transmitted into the database by adopting a security protocol communication TLS, carrying out the preliminary verification and cleaning of the data, generating a verification key through a trusted computing module TPM, and storing the verification key in a secure storage area of the trusted computing module; s2, loading the verified data into a feasible computing environment TEE to generate an encryption key, and storing the encryption key in an internal storage area of the feasible computing environment TEE; s3, performing integrity verification on the encrypted data in the feasible computing environment TEE; and S4, leaving the checked data from the feasible computing environment TEE through the security protocol communication TLS, and transmitting the checked data to a tamper-proof database for storage. The data processing and storage operation is executed in the trusted computing environment, the integrity and non-tampering property of the operation record are ensured by using the tampering-proof database, and the credibility and safety of the whole data processing and storage system are improved in a combined mode.

The invention provides an electric vehicle charging load analysis system based on deep learning and real-time traffic simulation. The system comprises an offline simulation deduction module, a deep neural network training module and an online simulation deduction module. An energy consumption model is constructed by collecting an electric vehicle starting toll station record, ETC door frame vehicle passing information and service area charging station data in an expressway, and offline simulation deduction is achieved. The deep neural network adopts a self-attention mechanism model, and combines a multi-head attention mechanism and time sequence coding to predict the EV charging load. The on-line simulation deduction module collects vehicle data in real time and carries out prediction based on real-time traffic simulation software. And performing weighted analysis and dynamic adjustment on simulation and deep learning prediction results through a feedback mechanism so as to improve the prediction precision. Through the distributed calculation and real-time data processing technology, mass data can be efficiently processed, accurate charging demand prediction is provided, and the method adapts to dynamic changes in different scenes.

The invention discloses a privacy protection-oriented cloud side-end collaborative driving style identification method, which comprises the following steps of: screening out effective driving data from a side-end collection machine through data preprocessing, processing the effective driving data into windows with the same size according to requirements, putting the batch of labeled data on a side-end model to train the side-end model and obtain probability distribution, and carrying out cloud side-end collaborative driving style identification. And constructing a probability distribution integration framework, and calculating a global probability distribution according to the probability distribution given by each side end. And guiding cloud model training according to the obtained global probability distribution because the cloud model cannot have data with labels. After cloud model training is completed, probability distribution is obtained according to a batch of driving data without labels, training of each side end model is guided according to the probability distribution, and finally the trained model is put into a driving style recognition task of new data to complete driving style recognition. And accurate identification of the driving style is realized through more comprehensive global probability distribution and an excellent cloud edge-end cooperation model.

The invention discloses a large language model knowledge graph completion method based on meta-cognition and multi-angle prompt, relates to the technical field of knowledge graph completion, and solves the problem of magical property caused when knowledge graph completion is solved by adopting prompt engineering in the prior art. The knowledge graph completion method comprises the following steps of performing data extraction on a knowledge graph data set in a medical database, constructing an original knowledge graph structure of medical data according to the extracted data, performing initial embedding on the original knowledge graph structure, and enhancing embedding generation; optimizing the large language model by adopting a meta-cognition prompting method and a multi-angle prompting method; and enriching the enhanced and embedded original mapping knowledge domain structure by adopting the optimized large language model, wherein the enriched mapping knowledge domain contains new relationships and entities. The method is suitable for completing the knowledge graph in the medical database in the medical field.

The application relates to the technical field of data analysis, and discloses a karst fissure identification-based open-pit mine blasting parameter optimization method and system. The method comprises the following steps: obtaining karst fissure distribution characteristic data through multi-source detection, establishing a three-dimensional fissure network topology structure, analyzing static breaking agent inflation stress propagation rules, performing multi-objective optimization solving based on stress propagation direction and intensity distribution to obtain an initial blasting parameter combination, and obtaining dynamic adjustment blasting parameters through real-time tracking and regulation according to fissure dynamic evolution in the blasting process. The application solves the problem that static blasting parameters cannot be real-time regulated according to the dynamic evolution state of the fissure network in the blasting process, resulting in deviation between the blasting effect and the expected target.

This invention belongs to the field of medical image processing technology, specifically relating to a method for abdominal multi-organ medical image segmentation based on a state-space model. Addressing the shortcomings of existing technologies such as the difficulty of CNNs in modeling long-distance dependencies, the high computational complexity of Transformers, and the large semantic gaps, incomplete segmentation contours, and easy organ encroachment issues in VM-UNet skip connections, this solution makes key improvements: It constructs an improved VM-UNet-Skip architecture, placing skip connections before downsampling to reduce the semantic gap between the small decoder features; it introduces a multi-scale global-local information aggregation module, capturing global anatomical dependencies through multi-head Mamba units and enhancing local detail representations with a convolutional gated feedforward network; and it relies on the VMamba encoder-decoder to achieve efficient feature extraction and reconstruction. The method flow includes: constructing initial feature representations through patch embedding layers, extracting multi-scale hierarchical features through the encoder, enhancing features through an information fusion module, and fusing and mapping the enhanced features to obtain the segmentation result through the decoder. This invention effectively improves the segmentation accuracy of abdominal multi-organs, solves the problems of insufficient contour integrity and organ encroachment, while reducing the number of model parameters and computational complexity, providing reliable technical support for clinical diagnosis and surgical planning.

The present application relates to the technical field of network security, and more particularly to a cloud platform vulnerability real-time quantitative analysis system based on a dynamic knowledge graph, which comprises a multi-source heterogeneous data acquisition unit, a dynamic knowledge graph construction unit, a vulnerability quantitative evaluation unit, an intelligent response disposal unit and a visual verification unit.The vulnerability quantitative evaluation unit identifies the possible propagation path of the vulnerability through an improved weighted breadth-first search algorithm, and introduces a real-time relationship weight and a path attenuation mechanism.The present application can improve the accuracy of vulnerability propagation path identification and the accuracy of risk level quantification by generating dynamic relationship edge weights through a real-time weight calculation module, combining a path attenuation processing module to adjust the weight of long-term non-vulnerability propagation correlation, and cooperating with the weighted breadth-first search algorithm to identify the vulnerability propagation path, thereby effectively solving the problem that traditional risk assessment relies on static parameters and is easily disturbed by invalid paths.

The utility model relates to the technical field of cutters, and discloses a cutter for cutting cards, which comprises an operating table, a baffle mounted at the end of the operating table, a protective plate mounted on the side of the operating table, a reciprocating mechanism mounted at the bottom of the baffle, a first cutter arranged at the bottom of the reciprocating mechanism, and a cutting groove formed in the side of the operating table. A second cutting knife is arranged in the cutting groove, the first cutting knife is in sliding fit with the second cutting knife, through arrangement of a reciprocating mechanism, cards are manually placed on an operation table, a servo motor is started, the servo motor drives a rotating shaft and a moving cylinder at the bottom of the rotating shaft to rotate, and meanwhile a sliding column moves on a sliding groove; therefore, the sliding block drives the fixing column and the first cutting knife at the bottom of the fixing column to do reciprocating motion, the first cutting knife and the second cutting knife are matched with each other, and by means of the cutting mode, the more accurate and stable cutting effect can be achieved in the card cutting process.

The invention relates to a dispensing line control method for a robot glue outlet module, which comprises the following steps: a first reserved path and a second reserved path are arranged in a control module, the end point of the first reserved path coincides with the starting point of an original path, and the starting point of the second reserved path coincides with the end point of the original path; the robot drives the glue discharging module to move to the starting point of the original path; driving the robot to move to the starting point of the first reserved path; moving towards the starting point of the original path, and controlling a glue discharging module to discharge glue when the moving speed in the first reserved path reaches a preset speed; the robot drives the glue discharging module to enter an original path to continue to move; then entering a second reserved path to do decelerating motion; and finally, when the robot moves to the end point of the second reserved path, the robot and the glue discharging module stop working. The preset speed is the moving speed of the glue outlet module controlled by the robot in the original path, and the glue dispensing method has the beneficial effect that the problems that the glue dispensing line of the glue outlet module driven by the robot is incomplete and the glue amount is uneven are solved.

The invention relates to the technical field of internet and intelligent office, and discloses an intelligent office system middle desk, which comprises a built-in super administrator account, the super administrator account creates a tenant account and distributes a tenant system function authority, a data viewing range authority and a data operation authority, and the tenants create user accounts and distribute corresponding permissions. According to the intelligent office system middle platform, through data interaction and function linkage of the intelligent office system middle platform and other sub-service systems, the problem that after the system is interrupted due to abnormal tasks, the batch of interacted data is not interrupted synchronously but is brought into an interface message retransmission queue by the intelligent office system middle platform in a bookkeeping manner, and the interaction efficiency is improved is solved. And after the subsequent system exception is recovered, the batch of interacted exceptional data is continuously transmitted, so that the integrity and the stability of interface data transmission between the intelligent office system middle platform and the accessed sub-service system are ensured.

The utility model discloses a meteorological information acquisition device, relates to the field of meteorological information, and solves the problem of incomplete or unstable information transmission caused by unstable signals during field meteorological information transmission. The meteorological information acquisition device comprises a support, a meteorological acquisition assembly, an electric appliance box, a controller, a battery, a satellite communicator and a signal amplifier. The support is provided with a mounting table top. The meteorological acquisition assembly is arranged on the mounting table top; the electric appliance box is arranged on the mounting table top; the controller, the battery and the satellite communicator are partially arranged in the electric appliance box, the controller is electrically connected with the weather acquisition assembly, the battery is electrically connected with the weather acquisition assembly and the controller, the satellite communicator is electrically connected with the controller, the satellite communicator is electrically connected with the battery, and a signal output port of the satellite communicator extends out of the electric appliance box; the signal amplifier is connected with a signal output port of the satellite communicator, and the signal amplifier is electrically connected with the battery. The utility model is used for enhancing the signal of the outdoor meteorological information acquisition device and ensuring the stability of meteorological information transmission.

The present invention proposes an information management method and system for access card chips, the method comprising: providing an anonymous identifier, initializing the authentication process, laying the foundation for privacy protection and data chain; completing mutual trust authentication between the access card and the device, and providing authentication challenge data for subsequent behavior recording and tracing; based on the results and challenge data generated after the authentication is completed, generating a complete encrypted behavior record and establishing a chain hash structure; storing the encrypted behavior record and the chain hash value locally or synchronizing them to a server to ensure the reliability and traceability of the behavior record; using the complete behavior chain data, detecting abnormal behavior and supporting traceability verification. The present invention significantly improves the privacy protection capability, security and tracing efficiency of the access control system by integrating dynamic identity generation, encrypted behavior chain storage and a two-way authentication mechanism in the access card chip.

The invention provides a curling player face reconstruction method based on a rebroadcast video. According to the method, the facial features of the curling player in the rebroadcast video are optimized, the deep learning technology is utilized, a mask network strategy is combined, the limitation of a traditional method in processing reflective and weak texture areas is overcome, and a more real and vivid digital human image is provided for the fields of element universe, digital human, sports event rebroadcast and the like.

The application discloses an autonomous program control system level test method, and proposes a solution method for the correctness, effectiveness, safety and integrity of satellite active stage operation period satellite-rocket separation program control, autonomous flight program control, synchronous orbit stage operation period machine cutting program control, and emergency program control task verification. Based on satellite 1553B bus data simulation function and automatic test, satellite program control execution process is simulated and forwarded, satellite autonomous instruction sequence during program control execution is analyzed or intercepted, satellite program control process safety risk hidden danger is guaranteed, and effective verification of satellite autonomous program control function and comprehensive interpretation of instruction telemetry are realized.

The present invention discloses an embroidery material conveying device, comprising: a frame; a driving assembly, located on the frame; a storage conveying assembly, comprising a material discharge mechanism and a transmission mechanism for placing embroidery materials, the material discharge mechanism is connected to the driving assembly and driven by the driving assembly; the transmission mechanism comprises a horizontal plate fixed on the frame and a vertical plate installed on the horizontal plate, a first thread wheel and a second thread wheel are respectively arranged at both ends of the horizontal plate, a slideway is arranged on the vertical plate, a thread wheel assembly is slidably connected on the slideway, the thread wheel assembly is located below the first thread wheel and the second thread wheel, the embroidery material is sequentially wound around the second thread wheel, the thread wheel assembly and the first thread wheel from the material discharge mechanism, and is passed through the machine head guide nozzle, and a first sensor is arranged at the lower end of the slideway to drive the driving assembly to work when the thread wheel assembly is not sensed. The present invention also discloses an embroidery machine.

The utility model provides a kind of battery module, including module frame, the reinforcing structure of several electric cores being arranged in module frame, electric core includes the shell of at least one end being provided with opening, the cover plate of encapsulating the opening, and electrode assembly being arranged in the shell, at least one side of shell is formed with weld joint;Reinforcing structure is arranged between module frame and the weld joint of at least one electric core, and at least part is abutted to weld joint by module frame, reinforcing structure can efficiently disperse and transmit to module frame at the expansion stress of weld joint;Reinforcing structure is formed by that hollow window is opened in weld joint corresponding area through insulating cladding layer and setting connecting layer in window, or thickening area is formed in weld joint area through insulating cladding layer, while structural adhesive covers thickening area formation, solve the weld joint structure damage and blue film puncture failure problem caused by steel shell electric core expansion stress, improve the structural stability and security of battery.

The invention provides electronic equipment, a communication system, a communication method, computer equipment and a medium. An electronic device according to an embodiment includes a serial bus including a clock signal line and a data signal line, and a conversion structure including: a signal modulation circuit that modulates a received first signal with a first data signal from the data signal line to generate a first modulated signal, the first signal comprises clock information of a first clock signal from a clock signal line; the photoelectric and electro-optical conversion circuit is used for converting the first modulation signal into an optical signal output by the electronic equipment based on the control information of the control circuit, and converting the received optical signal into an electric signal based on the control information of the control circuit; and the signal separation circuit separates the electric signal into a second clock signal transmitted to the clock signal line and a second data signal transmitted to the data signal line. According to the electronic equipment disclosed by the embodiment of the invention, two-way transmission of two signals can be realized on one optical fiber.

The present invention relates to the technical field of skin information processing, and discloses a skin multimodal data processing method and system, wherein the method firstly supplements and amplifies the missing attribute values ​​of medical history data; performs clinical image amplification on the skin clinical images corresponding to the supplemented and amplified medical history data to form paired multimodal data; wherein the clinical image amplification method includes skin clinical image amplification based on disease consistency and skin clinical image amplification based on skin common composition transformation. In this way, by supplementing and amplifying medical history data and amplifying skin clinical images, the problems of incompleteness of multimodal data and small amount of data can be solved.

The invention discloses a saliency target detection method and device, electronic equipment and a storage medium. The saliency target detection method comprises the steps of obtaining a target optical remote sensing image; detecting a salient target in the target optical remote sensing image by using the target network model; wherein the target network model comprises a feature extraction part, a multi-level semantic enhancement part, a boundary guiding part and a fusion part; the feature extraction part is used for extracting multi-level features of the target optical remote sensing image; the multi-level semantic enhancement part is used for obtaining semantic attention information features based on high-level features in the multi-level features; the boundary guiding part is used for performing boundary guiding based on the multi-level features to obtain boundary guiding features; and the fusion part is used for fusing the semantic attention information features and the boundary guide features to obtain a detection result of the saliency target. By applying the technical scheme provided by the invention, the detection efficiency of the salient target in the target optical remote sensing image can be improved.

The invention relates to the technical field of hybrid direct-current relays, and discloses a hybrid direct-current relay topology circuit switch transient characteristic analysis method. The method comprises the steps of obtaining circuit parameters corresponding to a topological circuit of the hybrid direct-current relay, establishing a transient characteristic equivalent mathematical model of a switch of the topological circuit of the direct-current relay according to the circuit parameters, and carrying out transient characteristic analysis on a conduction process and a turn-off process of the hybrid direct-current relay according to the transient characteristic equivalent mathematical model. Therefore, the transient characteristic analysis process of multiple segments on the topological circuit of the hybrid direct current relay can be realized, and the technical problem that the transient analysis method for the hybrid direct current relay in the prior art is insufficient in accuracy is solved.

The invention discloses a civil aviation passenger security check verification method based on multi-source heterogeneous data real-time fusion, and the method comprises the steps: carrying out the format conversion, data coding unification, field name unification and timestamp of data from different source systems at the rear end of a security check information system, and carrying out the data connection, projection and dimension reduction combination, thereby obtaining a security check information system; all data from different systems are merged into a to-be-verified passenger data table, index conditions are established according to travel information such as passenger certificate numbers, flight numbers, flight dates, departure stations and terminal buildings, and at the front end of a security check information system, only basic travel information of passengers needs to be used as indexes during passenger verification, so that the verification efficiency is improved. According to the method, all information needing to be verified of the passenger can be quickly obtained and verified by only needing to carry out verification, the security check efficiency is effectively improved, data fusion is carried out factually, the accuracy and the real-time performance of security check verification are ensured, and the problems that data of an existing security check information system are incomplete and intersection is complex are solved.

The invention relates to a voice processing link test method and device, equipment and a storage medium. The method comprises the following steps: acquiring a test case set obtained by executing preprocessing operation according to the type of the test case set; according to the test case set obtained after the preprocessing operation is executed, different verifications are sequentially carried out on different links of the voice processing links, and verification of each link of the different links depends on an output result of verification of the previous link. According to the scheme provided by the invention, the whole link of the voice processing link can be verified completely, the complexity of verifying the voice processing link is reduced, and the link with a problem is positioned more accurately.

The present application relates to a method, device and equipment for radar image enhancement based on polarization control. The method comprises: using a polarization radar system to obtain a full polarization radar image of a target; uniformly sampling the polarization parameter space according to the polarization parameter descriptor to obtain different transmit and receive polarization vectors, and constructing a transmit and receive polarization vector set; polarization control is performed on the full polarization radar image according to the transmit and receive polarization vector set, and variable polarization images corresponding to different transmit and receive polarization vectors are obtained in a digitally weighted manner to construct a variable polarization image sequence; the variable polarization image sequence is fused to obtain an enhanced radar image. The present method can be used for target structure inversion and contour extraction.

The embodiment of the invention provides an LED brightness control circuit and method. The circuit comprises a first operational amplifier, a divider resistor, a first adjusting resistor, a second adjusting resistor and a second operational amplifier. According to the LED brightness control circuit, the maximum current point required to be reached by an LED is calibrated, when the calibration of the maximum current point is completed, the reference voltage is determined, then the minimum current, namely the current zero point, is calibrated, and when the maximum current point and the minimum current point are determined, the two points are determined to be a line, and all current nodes in the middle are kept linearly increased or decreased. In this way, it can be guaranteed that the brightness of the LED changes stably, that is, the magnitude of the required current must cover all required change ranges and increase and decrease of high linearity need to be kept, and the absolute stability when the LED emits light is achieved. Therefore, the technical problems of low color saturation, incomplete picture information and low reduction degree of an imaging result obtained in a traditional photographing LED lighting mode are solved.

The invention discloses a coal core three-dimensional space distribution method and system fused with an imaging spectrum technology, and belongs to the technical field of geological prospecting, and the method comprises the steps: obtaining a hyperspectral image of a coal core, and carrying out the preprocessing of the hyperspectral image, and obtaining a preprocessed hyperspectral image; performing coal and mineral mapping on the hyperspectral image by adopting a spectral angle matching mapping method to obtain a hyperspectral image after mapping; converting the hyperspectral image after mapping into a three-dimensional model based on three-dimensional space distribution; and inputting the three-dimensional point cloud data of the three-dimensional model into an improved multi-scale convolution denoising self-encoding network model to detect the coal-rock interface to obtain the coal-rock interface. Three-dimensional modeling is performed on a coal core by using a three-dimensional space distribution technology, and identification of a coal rock interface is realized by means of a three-dimensional model, so that reserves and quality of coal resources are accurately evaluated, making of a mining plan is facilitated, optimization of a mining mode is facilitated, resource utilization efficiency is improved, and waste is reduced.

The invention belongs to the technical field of high-performance computing, and particularly relates to a permanent storage method required in a mirror image construction process, which comprises the following steps of: establishing a distributed wide area network cross-domain peer-to-peer transmission and storage system based on encrypted code conversion; an original file, a construction file and a finally generated mirror image file required in the mirror image construction process are subjected to content segmentation, scrambled and finally transmitted to a peer-to-peer network to be permanently stored. In the mirror image manufacturing process, a unique identifier generated after transcoding is used for quoting and obtaining a dependent file needed by application installation. According to the application mirror image constructed by the method, the problem of construction failure caused by reference failure at any time is solved, so that the repeatability of container mirror image construction is realized, and the problem that an installation file or a third-party file on which the installation file depends cannot be permanently referenced in the mirror image construction process is effectively solved.