10results about How to "Improve verification capabilities" patented technology

The invention provides a document question-answering system and method based on a large model, and relates to the technical field of artificial intelligence, and the system comprises a document segmentation module which is used for segmenting a document uploaded by a user according to a paragraph structure to obtain a plurality of paragraph nodes; and the answer generation module is connected with the document segmentation module and is used for performing similarity matching on a query question proposed by a user and each paragraph node and sending the paragraph node with the highest similarity into a local large language model for processing so as to display answer information associated with the query question to the user. The method has the beneficial effects that the document is segmented according to the paragraph structure, so that the related content is effectively prevented from being split into different paragraph nodes, the context continuity is ensured, and the accuracy of a search result is improved; and the answer information is generated by adopting a local large language model, so that data leakage and privacy risks are avoided, and the data security is enhanced while the user privacy is effectively protected.

The invention relates to a PPU module verification system and method based on a UVM verification platform, by establishing a module-level verification system, parallel access of a plurality of hosts to a PPU module can be simulated through random configuration, and various possible scenes are traversed, so that the verification efficiency is improved, and the verification integrity is ensured. Module-level simulation verification can be immediately carried out after development of the PPU module is completed, through parameterization processing on APB and AHB interfaces, the number change of cores can be flexibly coped, verification cases can be dynamically adjusted, a verification system does not need to be redesigned, and the reusability of the verification system is greatly improved. By directly generating a data packet of an effective protocol instead of initiating access depending on a system configuration core, comprehensive verification of storage spaces of all the PPU modules is ensured. Therefore, through technologies of module-level simulation, interface parameterization, automatic expected generation and the like, the verification capability of the PPU module is greatly improved.

The application discloses a three-dimensional detection and diagnosis simulation verification method and platform for tunnel apparent diseases and a storage medium. The method comprises the following steps: collecting point cloud data and image data of a tunnel model, performing difference analysis based on the two types of data to obtain an apparent detection result, and positioning a suspicious disease area of the tunnel model according to the apparent detection result. A machine learning model is used to analyze a disease diagnosis result corresponding to the suspicious disease area, and the disease diagnosis result is compared with preset real disease information of the tunnel model, and a comparison result obtained can be used to optimize the machine learning model. The scheme avoids the limitations of real vehicle verification and non-entity verification, and effectively improves the verification effect and verification efficiency of the machine learning model.

The embodiment of the invention discloses a data transmission method and device based on a longitudinal encryption authentication device and a readable medium. A specific embodiment of the method comprises the following steps: carrying out dynamic identity confirmation on a target substation; generating a data transmission tunnel and transmission configuration information; carrying out data packet grouping on to-be-transmitted data packets in the to-be-transmitted data packet sequence; generating an identity verification label corresponding to the to-be-transmitted data packet group; according to the data security configuration information and the longitudinal encryption authentication device, performing data encryption on a data load in a to-be-transmitted data packet in the to-be-transmitted data packet sequence and the obtained identity verification tag sequence; and transmitting the encrypted data packet sequence to the target substation through the data master transmission tunnel, and transmitting the encrypted identity verification tag sequence to the target substation through the data slave transmission tunnel. According to the implementation, the data transmission logic is optimized, the data delay is reduced, and the data security of the data related to the power system in the data transmission process is ensured.

The present invention discloses a charging pile power consumption prediction method based on improved deep learning, comprising the following steps: preprocessing the collected charging pile power consumption data; extracting weather data, time features and special event features from the preprocessed data to form a feature data set; constructing a hybrid deep learning model using a dynamic sparse connection network and a deep pseudo-label generator of self-supervised learning to generate preliminary prediction results; introducing a variational information bottleneck mechanism to generate an optimized feature representation; using an improved tensor fusion network to achieve deep-level fusion and feature extraction of data; using a neuroevolution strategy optimization algorithm to train a new feature representation to generate an optimized model; verifying the optimized model through a variational Bayesian verification method; and using an adversarial evaluation mechanism to optimize the reliability and accuracy of the prediction results in real applications.

The present invention discloses a method and system for interacting with smart ring data based on positioning analysis, the method comprising: obtaining data to be verified, user behavior data and positioning data transmitted by a target smart ring; judging whether the data to be verified needs to be verified, and obtaining a judgment result; when the judgment result is yes, determining multiple nearby rings corresponding to the target smart ring according to the user behavior data and positioning data; controlling the nearby rings to send ring data, and verifying the data to be verified according to the ring data. It can be seen that the present invention can verify the ring data through the data of nearby rings, so as to improve the efficiency and effect of ring data verification and obtain more accurate data.

The invention discloses a jet flow control device for aircraft model flight test and a test method thereof, and belongs to the field of aircraft test. The control device includes a driving motor, a motor mounting seat, a coupling, a valve adapter shaft, a valve mounting seat, a valve body and a valve core, and the valve core is a V-mouth ball core whose inlet area does not change with the rotation of the ball core. Based on this device, a use strategy of jet control and traditional control rudder combination is developed. Compared with the traditional proportional flow control device, while ensuring the high-frequency and large-flow proportional control requirements, the energy loss is lower, the proportional control response speed is higher, and the pipeline flow stability is better. The strict requirements of load weight volume and jet control accuracy during aircraft model flight test can be met, and the control efficiency of jet control measures can be verified by aircraft model flight test.

The present invention relates to the technical field of production quality and safety traceability, and in particular to a method and system for tracing the production quality and safety of smart vests. The method comprises the following steps: obtaining data on the production link of smart vests, wherein the data on the production link of smart vests include data on the raw material procurement stage, data on the monitoring and manufacturing stage, data on the quality inspection stage, and data on the packaging stage; extracting material information from the raw material procurement stage data to obtain material information data of smart vests; analyzing the operation of production equipment from the monitoring and manufacturing stage data to generate production equipment operation data; conducting vest quality inspection on the quality inspection stage data to generate vest inspection data; and analyzing the packaging status of finished products from the packaging stage data to generate finished product packaging status data. The present invention improves the multi-dimensional and multi-level data comprehensive analysis problem of data analysis through Internet of Things technology, radio frequency identification technology, data analysis technology, and blockchain technology.

The invention relates to the technical field of precision measurement, and discloses a space test device for on-orbit release of a test mass by a locking and releasing mechanism, the space test device comprises a vacuum system, a sensing system and the locking and releasing mechanism, a vacuum cavity is arranged, the locking and releasing mechanism and the test mass are both placed in the vacuum cavity, and the space test device is used for simulating an on-orbit release environment; the inspection mass is arranged in a mounting shell of the sensing system, a through hole is formed in the mounting shell, the locking and releasing mechanism penetrates through the through hole and can be in contact with the inspection mass, and a plurality of sensors are arranged on the mounting shell and can be used for detecting the pose speed of the inspection mass at multiple degrees of freedom and comprehensively detecting pose information of in-orbit release of the inspection mass; and verification performance is improved. The invention further provides a space testing method applying the device, and the locking and releasing mechanism is tested in a microgravity and vacuum environment.

The invention discloses a multi-modal fusion authentication and recognition system of an intelligent ticket gate, and relates to the technical field of multi-modal fusion authentication and recognition, the system comprises a data preprocessing module, a variance verification module, a coefficient verification module and an error analysis module, the data preprocessing module receives a face image, identity card information and a two-dimensional code scanning result, and sends the face image, the identity card information and the two-dimensional code scanning result to the variance verification module; the method comprises the following steps of: cleaning data, eliminating noise, defining face image information A, identity card information B and a two-dimensional code scanning result C, and performing variance verification and coefficient verification on the face image, the identity card information and the two-dimensional code scanning result, so that the error of single verification is avoided, the accuracy of signals is ensured, and meanwhile, key information is prevented from being lost through comprehensive error analysis; in addition, repeated calculation of redundant information is effectively avoided, authentication and recognition are further verified comprehensively, and the verification effect of the multi-mode fusion authentication and recognition system is improved.