99results about How to "Convenient verification" patented technology

The invention discloses a medical diagnosis intelligent decision-making system based on multi-modal data fusion, and the system comprises the steps: obtaining a medical image, biological features and electronic medical record data of a patient through a patient information collection unit, and extracting feature vectors from different modal data through a feature processing unit; the core of the system is a modal fusion engine, and the module combines a deep neural network and a Bayesian inference engine to realize deep learning and probability-dependent modeling of an association relationship between features; carrying out weight optimization on different modal features by adopting an attention mechanism through a self-adaptive feature optimizer, and generating optimized feature representation; the intelligent diagnosis analysis unit calculates the diagnosis probability based on the optimized features, performs auxiliary diagnosis in combination with a case knowledge base when the confidence coefficient is insufficient, and outputs a diagnosis report containing diagnosis categories, basis and suggestions; according to the method, multi-source heterogeneous data are fused, deep learning and probabilistic reasoning are combined, intelligent medical auxiliary diagnosis is achieved, and diagnosis accuracy and interpretability are improved.

The invention belongs to the technical field of electric power data security management and intelligent question answering, and particularly relates to an electric power data security policy large model question answering system and method based on relation pooling. The system comprises a power data security policy knowledge base, a language model, a question processing module, an answer generation module and a user output module. Data of the electric power data security policy knowledge base comes from an electric power data security policy file; the language model converts a natural language problem into a structured query for knowledge base retrieval; the question processing module retrieves policy terms related to the natural language question to serve as retrieval results; the answer generation module generates a final answer according to the natural language question and a retrieval result of the knowledge base; by introducing the intelligent question-answering system combining the large language model and the knowledge base, the problems of low efficiency, inaccurate interpretation, incapability of dynamically updating and the like in the existing power data security policy query and management are solved.

The invention relates to the technical field of knowledge questions and answers, in particular to a method and system for detecting and repairing large language model output illusion, which comprises the following steps of: dividing answer content into a plurality of sentences, calculating the confidence coefficient of each sentence, judging whether the confidence coefficient of each sentence exceeds a set threshold value or not, performing fact extraction on the sentences with the confidence coefficient lower than the set threshold value, obtaining triple data of each sentence; generating a subgraph A of each sentence based on the triple data of each sentence; extracting a sub-graph B from the local knowledge graph based on the subject in the triple data of each sentence; calculating the similarity between the sub-graph A and the sub-graph B, and if the similarity is smaller than a set threshold value, repairing the sub-graph A according to the sub-graph B to obtain a repaired sub-graph A; according to the triad data corresponding to the repaired subgraph A, obtaining a repaired sentence; and after all the sentences with the confidence lower than a set threshold value are repaired, final answer content is obtained. And the accuracy and reliability of model output are improved.

The invention discloses a closed-loop training device and a closed-loop training method for an in-vitro neural chip to control obstacle avoidance of a trolley, and belongs to the field of neurobiology and in-vitro brain-computer interfaces, and the closed-loop training device shapes a biological neural network structure and regulates and controls a discharge mode in a closed-loop training mode, so that the device makes a correct decision in different obstacle situations to control obstacle avoidance of the trolley. According to the device, by means of sensory electrical stimulation coding, the neuron culture can'sense 'the obstacle condition faced by the trolley in the environment, and then motion control over the external trolley is achieved by collecting and decoding the discharge signals of the neuron. According to the method, training electrical stimulation is adopted to provide feedback for a neural network, a system applies reward or punishment electrical stimulation to the neural network according to whether a trolley successfully avoids an obstacle or not, a synaptic structure and a discharge mode of the neural network are adaptively shaped and optimized, and the safety of the trolley is improved. And a network structure capable of autonomously controlling the trolley to avoid obstacles in different obstacle environments is gradually formed.

The invention provides an external wall quality defect identification system, which comprises a preprocessing module used for preprocessing an image of a to-be-detected external wall, the image comprising an infrared image and a high-definition image of the external wall; the defect judgment module is used for analyzing the image by using a pre-trained machine learning model so as to identify and mark potential defects in the image; the defect confirmation module is used for finely screening the potential defects so as to determine real defects from the potential defects; and the output module is used for outputting the image of the outer wall marked with the defect. The invention further provides a corresponding method.

The invention discloses a novel power system network security protection and verification method and system. The method comprises the following steps: monitoring network traffic and log data, forming a network space behavior analysis rule by using a machine learning algorithm or a path search algorithm, and generating an attack path from an attacker perspective; constructing a network attack behavior event association model oriented to an attack and defense scene of the power system based on an analysis result of the attack path, and automatically identifying a network threat; aiming at the identified network threats, integrating power network security domain knowledge, a power monitoring system network plan and an on-site disposal scheme by utilizing a knowledge graph technology, and automatically generating a protection strategy; comprehensively evaluating the protection effect of the protection strategy through a pre-established evaluation system, and verifying and optimizing the protection effect by simulating a real attack and defense scene. According to the scheme of the invention, the accuracy and timeliness of threat identification are improved, and the verification process of a protection strategy is simplified.

The utility model discloses a quick process pipeline aligning tool, which belongs to the technical field of process pipeline installation and comprises a guide rod, a movable arm arranged on the lower portion of the guide rod, a support rod component arranged on the movable arm and capable of being adjusted up and down, a fixed base arranged on the support rod component through a spherical hinge component, a fixed jaw arranged on the upper portion of the guide rod, and a fixed base arranged on the fixed jaw. Supporting dies are arranged on the upper fixing base and the lower fixing base respectively, and supporting V openings of the upper supporting die and the lower supporting die are oppositely arranged up and down. The pipeline butt joint device has the advantages that rapid butt joint of pipelines is achieved, the pipelines are automatically and accurately aligned by adjusting the bolt handle and pressing the pipelines through the V-shaped mold, and therefore the butt joint quality of the pipelines is guaranteed; construction is convenient, one person can complete alignment operation, the quality requirement for pipeline butt joint is improved, the construction cost is reduced, and the operation safety in the butt joint process is improved. The cost and the progress of the device are well verified in the implementation process.

The invention discloses a multi-signature method based on an SIS trap door one-way function. The multi-signature method comprises the following steps: (1) Setup step: a trusted party takes a safety parameter as a public parameter required by an input and output scheme; (2) a KeyGen step: each signer outputs a public and private key pair by taking a public parameter as input; (3) Sign step: each signer takes the private key, the public key, the public parameter and the message as input and outputs a single signature for the message; (4) AggKey step: the verifier takes the signer public key set as input and outputs an aggregation public key; and (5) Verify step: a verifier outputs a bit 1 or 0 by taking the public parameter, the aggregated public key, the message and the multiple signatures as input, which represents that verification succeeds or fails. According to the method, the key homomorphism of the SIS trap door one-way function is utilized, so that multiple signatures of the data are realized; a lattice-based cryptosystem is used, so that the attack of a quantum algorithm can be resisted; the probability verification thought is used, and the efficiency of verifying multiple signatures is improved.

The invention provides a speech emotion recognition method and device, computer equipment and a readable storage medium. The method comprises the following steps: acquiring a to-be-recognized original speech and a corresponding original text; analyzing the original voice, and obtaining a plurality of voice features corresponding to the original voice; the voice features at least comprise a Mel frequency spectrum, a Mel frequency cepstrum coefficient and a chrominance vector; a voice vector corresponding to each voice feature is acquired based on a self-attention mechanism; analyzing the original text to obtain text embedding information corresponding to the original text; inputting the text embedded information into a preset text extraction model, analyzing the text embedded information by the text extraction model, and outputting a text feature vector corresponding to the text embedded information; and generating a target emotion type corresponding to the original voice according to the text feature vector and each voice vector, and completing emotion recognition of the original voice. The multi-mode emotion recognition method is provided, emotion recognition is carried out by combining contents of a text side and a voice side, and the emotion recognition accuracy is improved.

The invention discloses a coal mine natural fire prediction and alarm method based on a CO isotope database, and relates to the technical field of coal mine fireproof safety. S1, sample collection; s2, temperature programming; s3, isotope analysis; s4, constructing a database; and S5, real-time monitoring. Gas samples at specific positions under a coal mine are collected in real time, CO isotope composition of the gas samples is analyzed, data are input into an established database model, the occurrence probability and the development trend of the natural fire of the coal mine are rapidly and accurately predicted through comparative analysis, and an alarm signal is sent out in time when a preset danger threshold value is reached. Scientific basis and sufficient response time are provided for coal mine disaster prevention and control.

The invention provides a method for regulating and controlling a hydrodynamic balance valve with a real-time load feedback function, and the method comprises the steps: collecting the strain, water level, gas, vibration and motor current data of the balance valve in real time, constructing and utilizing a comprehensive load balance model, and calculating the effective safety torque of the balance valve in real time at an edge calculation layer; a mechanical wear degradation factor is calculated based on the action history and the current variance of the locking mechanism, and the instantaneous instability risk probability is calculated in combination with the effective safety torque and the current locking torque; according to the instantaneous instability risk probability, an output mode of a locking mechanism is dynamically adjusted to execute a graded locking action; and periodically calculating a full-life-cycle health degree index, and automatically generating a maintenance or replacement work order when the full-life-cycle health degree index is lower than a preset threshold value. According to the invention, the conversion from passive alarm to active defense is realized, and the safety and operation and maintenance efficiency of the urban balance valve in rainstorm, heavy load and corrosion environments are obviously improved.

The invention belongs to the technical field of distributed account books, and particularly relates to a performance optimization method of a distributed account book system, which comprises the following steps: step 1, node architecture optimization: improving the processing capacity, memory and storage of nodes, reasonably configuring the load of the nodes, and avoiding overload of some nodes; and step 2, consensus algorithm improvement: the workload proof is converted to the right proof or other more efficient consensus mechanism, and the communication complexity and the calculation amount in the consensus process are reduced. According to the distributed account book system, the performance, the efficiency and the safety of the distributed account book system can be comprehensively improved by improving the node performance, improving the consensus algorithm, optimizing the transaction processing and the network layer, saving the storage space, improving the intelligent contract, simplifying the protocol layer and considering the safety and the performance balance at the same time, and the more efficient and reliable distributed account book system is provided for users.

The invention provides a green power data multi-source heterogeneous convergence and tamper-proof accounting authentication method and system, and relates to the technical field of power, and the method comprises the steps: obtaining green power related data from a plurality of data sources, carrying out the standardization processing of the data, generating a digital signature through employing an elliptic curve cryptographic algorithm, and constructing a tamper-proof storage network based on a block chain technology. And performing data cleaning and anomaly detection by adopting a deep learning model, establishing a power balance model to calculate the actual green power consumption amount, generating an accounting report, and uploading the accounting report to a block chain network for evidence storage. According to the method, safe and credible convergence and accounting authentication of the green power data are realized, and the efficiency and reliability of green power management are improved.

The present application discloses a method, device and medium for simulating sea clutter, the method comprising: obtaining the illumination azimuth and elevation angle of the beam through a radar, calculating according to the illumination azimuth and elevation angle to obtain a clutter area; dividing according to the clutter area to determine a plurality of triangular face elements; determining a plurality of relative positional relationships between the radar and the plurality of triangular face elements to determine a plurality of incident angles corresponding to the plurality of triangular face elements according to the plurality of positional relationships; determining a plurality of backscatter coefficients corresponding to the plurality of triangular face elements according to the plurality of incident angles, and determining an echo amplitude corresponding to the plurality of triangular face elements according to the backscatter coefficients; determining a transfer function according to the echo amplitude, and convolving the transfer function to obtain a clutter signal. The present application determines the clutter area by accurately calculating the illumination azimuth and elevation angle of the radar beam, and refines the clutter characteristics according to terrain information, thereby improving the accuracy and authenticity of the simulation.

The invention provides an XR glasses total factor fusion simulation verification platform building method, and belongs to the technical field of airborne simulation cockpit display, and the method comprises the steps: building a simulation environment sensor system working model, and obtaining sensor system model data; dividing working modes of the XR glasses according to the flight scene; constructing a simulation environment man-machine interaction and control model; based on sensor system model data and a simulation environment man-machine interaction and control model, a simulation verification environment corresponding to all XR glasses working modes is built, and an XR glasses total factor fusion simulation verification platform is built. A verification platform built by the method realizes fusion display function simulation of airborne sensor data in the XR glasses, and a total factor simulation model of the XR glasses is built; the real flight and man-machine interaction process of the fighter can be simulated, and the real degree of the simulation verification process is improved; the simulation cost can be reduced, and the pre-research function can be conveniently verified.

This application relates to a scheduling method, apparatus, computer equipment, storage medium, and computer program product for power operation tickets. The method includes: dividing the fields to be verified in the power operation ticket into regions based on the correlation characteristics between them and their location characteristics; verifying the fields in each region to obtain a verification result for each region; weighting the verification values ​​of each result according to the type of the result and the order of the regions to obtain a weighted verification result for the power operation ticket; and distributing power operation tickets according to the operation objects matched by the weighted verification values ​​in the weighted verification result. This method eliminates the need for manual verification of the fields to be verified, reducing the verification time for power operation tickets and thus improving the efficiency of power system maintenance.

The present invention relates to the field of vehicle-mounted units, and discloses an on-vehicle unit OBU device, comprising an OBU device and a tag card that can be inserted into the OBU device, wherein a clamping component corresponding to the position of the tag card and a control component for driving the clamping component to move are arranged inside the OBU device; when the tag card is inserted into the OBU device, the clamping component can be used to limit the position, and the control component and the clamping component can be used to achieve reciprocating movement of the tag card relative to the OBU device. The present invention can drive the tag card to move relative to the OBU device to form a quick plug-in and pull-out through the cooperation between the control component and the clamping component, thereby facilitating the quick start of the Bluetooth of the OBU device and the quick verification after successful activation, thereby facilitating the quick use of the OBU device; the overall operation can be completed with one hand, and the OBU device can be limited when the tag card is inserted and pulled out, and the effective limit of the tag card can be ensured during use to prevent the tag card from falling off.

The present invention provides a spectral data processing method, system, medium, product and equipment for integrated modeling, belonging to the field of data processing technology. By combining a variety of preprocessing and wavelength selection methods, data utilization is maximized at different angles, and the prediction accuracy and robustness of the model are improved; through multiple first-level PLS models and different data processing strategies, the diversity and comprehensiveness of the model are improved, and the stability and adaptability are enhanced; the model building and verification process is optimized, and through automated preprocessing and wavelength selection, the present invention significantly simplifies the modeling process, reduces the experimental trial and error time, and improves the quality and fault tolerance of data processing; the present invention significantly improves the accuracy, robustness and adaptability of the model as a whole, and simplifies the modeling process and optimization process, providing an efficient and reliable solution for the field of near-infrared spectral analysis.

The invention belongs to the technical field of automatic power generation, and provides a primary frequency modulation performance evaluation method and system based on weighted contribution electric quantity. The method comprises the following steps: calculating an adjustment amount corresponding to theoretical output of a unit at each sampling moment within a frequency modulation duration, and calculating a weighted theoretical contribution electric quantity of the unit in a primary frequency modulation process in combination with a pre-constructed weighting coefficient vector; calculating the weighted actual contribution electric quantity in the primary frequency modulation process of the unit according to the weighted summation of the unit actual power data segment corresponding to each frequency abnormal data segment and a pre-constructed weighting coefficient vector; and evaluating the primary frequency modulation performance of the unit according to the ratio of the weighted actual contribution electric quantity to the weighted theoretical contribution electric quantity in the primary frequency modulation process of the unit. The method can overcome the problems of unreasonable evaluation result, easy noise interference and the like in the existing method, can effectively reflect the output expectation characteristic of the power grid to the primary frequency modulation process of the unit, is easy to understand and verify the evaluation result, and has the remarkable advantages of simplicity and convenience in implementation and the like.

This invention relates to the field of roadside perception technology, specifically disclosing a multimodal roadside safety perception and linkage early warning method and system based on deep learning. The method includes: collecting target information and verifying first identification signals with the same target number to identify error information; predicting the simulated driving path of the vehicle and calculating a risk assessment value; marking abnormal driving points by determining whether the simulated driving point has contact with the target object; calculating the risk assessment value based on the distribution of abnormal driving points; and after identifying that the target vehicle is in a risky state, extracting a second identification signal composed of a single source to determine the detailed risk level of the risk state. This invention transforms the differences between devices, which are considered interference in traditional perception systems, into a core basis for proactively predicting and quantifying potential risks. It also provides differentiated responses based on the urgency and severity of the risk, reducing unnecessary interference to the driver while ensuring safety.

This invention relates to a real-time anti-modification method and system for range extenders in hybrid electric vehicles, belonging to the field of range extender technology. The method includes: acquiring real-time output current and real-time input current; determining a reference error range based on the real-time input current and a reference error rate; determining the presence of a range extender based on the real-time output current, real-time input current, and the reference error range; when a range extender is present, controlling the vehicle controller to output encrypted information to the range extender; acquiring a decryption algorithm; after the range extender receives the encrypted information, determining the decrypted information based on the decryption algorithm and the encrypted information; determining whether the vehicle controller receives the decrypted information within a reference number of receptions; if received, re-acquiring the real-time output current and real-time input current; if not received, generating a warning message indicating that the range extender is not original equipment and outputting it to a display terminal. This application improves the safety of hybrid electric vehicles.

The invention discloses a temperature environment construction method and system for chip test calibration, and relates to the technical field of chip test processing, and the method comprises the steps: S1, test memory bank statistics, S2, chip prior test data preprocessing, S3, test environment construction temperature interval acquisition, and S4, temperature environment cooperative adjustment construction. According to the invention, pertinent analysis of prior data is carried out on the to-be-tested memory bank, and the test environment of the to-be-tested memory bank is obtained to construct the temperature interval, so that the problem that the temperature environment setting is too one-sidedness when the memory bank is tested at present is effectively solved; according to the method, the characteristic of inconsistency of the actual application performance of the memory bank can be fully considered, so that the situation that whether the temperature of the memory bank reaches a set value or not is singly sensed and judged is avoided, complex temperature environment conditions can be accurately simulated, and powerful data support guarantee is provided for the accuracy of a test result.

The application discloses a kind of multi-micronet robust game optimization scheduling method and system based on dynamic auction official algorithm, and relates to energy system scheduling and optimization technical field.The method constructs system physical model and double-layer robust optimization model based on Stackelberg master-slave game, upper layer maximizes system operator's profit to formulate price signal, lower layer maximizes the worst scenario income of multi-micronet alliance to optimize resource scheduling, combined with multiple constraint conditions, Stackelberg equilibrium is solved iteratively using dynamic auction official algorithm.The application converges to global optimal solution quickly through three-dimensional hybrid driving price updating mechanism, realizes system economic benefit maximization, operation robust and reliable, and has good explainability and practical application value.

The application provides a concurrent vulnerability verification method and device, electronic equipment and readable storage medium, applied to the computer kernel security field, including: obtaining a first interleaved sequence in the computer kernel; the first interleaved sequence includes: a plurality of memory operation instructions; the plurality of memory operation instructions executed according to a target condition are used to trigger a concurrent vulnerability; adding a breakpoint before each memory operation instruction in the first interleaved sequence to obtain a second interleaved sequence and execute; the breakpoint is used to make the memory operation instruction after the breakpoint enter a waiting state; based on the memory operation instruction entering the waiting state and the target condition, the trigger information of the concurrent vulnerability is output. The embodiment adjusts the execution order of the interleaved sequence using the breakpoint, so that the execution process meets the target condition, and solves the problems of expected interleaved sequence execution interference and low reproduction efficiency.

This invention provides a method for detecting AAV antibody titers, belonging to the field of biomedical technology, comprising: S1 preparing serum-free AAV vectors with different MOI values; preparing a mixture containing different volumes of test serum samples and AAV vectors with known MOI values ​​for co-incubation; S2: adding plasmids containing the CRISPR-Cas9 gene editing system to electroporation buffer, performing electroporation on a known number of cells, adding the serum-free AAV vectors and mixture from step S1 to the electroporated cells respectively, and detecting the expression efficiency of the reporter gene after electroporation; S3: calculating the AAV antibody titer in the test serum sample based on the detection results. The main advantage of this invention is that it can display AAV antibody titers digitally and quantitatively, facilitating understanding and communication, and obtaining stable and reliable results using different cell lines and different AAV transduction doses. This method is easy to standardize and validate, saving time, effort, and detection costs compared to traditional methods, and directly reflects antibody neutralizing activity.

The application provides a kind of escalator handrail belt speed measuring device, speed measuring device is installed on handrail belt, speed measuring device includes main unit, clamping component, speed measuring component and control component, control component is used to control the operation of speed measuring device, main unit has drive assembly, drive assembly has transmission rod and support rod, clamping component has two sets of clamping pieces, transmission rod and support rod are connected with two sets of clamping pieces, transmission rod drives two sets of clamping pieces to realize split and combined motion, clamping piece is clamped on handrail belt, speed measuring component is installed at the lower end of clamping piece, speed measuring component has support wheel and speed measuring wheel, support wheel and speed measuring wheel contact with handrail belt mounting frame, speed measuring wheel is used to measure the running speed of handrail belt;The application can realize the direct measurement of handrail belt speed, obtain continuous data of handrail belt operation, obtain the state of each point of handrail belt operation in time, which is beneficial to accurately diagnose the running state of handrail belt, and the device has the characteristics of convenient operation and high efficiency.

This invention discloses a device and method for simulating the effects of salinity stress during freeze-thaw cycles on the rhizome germination of emergent plants, belonging to the field of emergent plant germination experiments in cold and arid regions. The device includes an outdoor main pool and a laboratory auxiliary pool, connected by a closed channel with double gates. The bottom of the main and auxiliary pools is equipped with sliding tracks and transfer channels. Within the transfer channels, a translation screw, in conjunction with an electromagnet, drives the base frame to move without breaking ice. The main pool is equipped with freeze-thaw, salinity, and nutrient regulation modules. The method uses an L18 (3²×6¹) orthogonal array to design experimental combinations of freeze-thaw patterns, salinity, and nutrients. The base frame is transferred to the auxiliary pool without breaking ice, and stratified morphological and physiological indicators are measured simultaneously. Data are harvested at the end of the experiment, and variance analysis is performed. This invention achieves undisturbed monitoring of the experimental environment, accurately recreates the complex stress environment, quantifies the effects of the three factors, provides a scientific basis for the ecological restoration of saline-alkali wetlands, and is convenient to operate and highly repeatable.

The present invention provides a DRAM test machine and method based on embedded logic analysis. An embedded logic analyzer is integrated in an ATE test control chip. The embedded logic analyzer is integrated in an ATE test control chip having a main control unit, a test vector generator, and a test result processor. The defects in the prior art are overcome, and the signals of the DRAM chip can be captured and analyzed in real time, so as to help test engineers quickly find problems and improve test efficiency. A plurality of signal channels can be monitored at the same time, so as to improve in-depth analysis capability, and specific trigger conditions can be set to capture key data. The complex timing behaviors of various DRAMs can be decoded and analyzed, so as to save test time. The machine is compactly integrated, does not occupy additional space, reduces costs, and improves benefits. The machine can quickly provide test results and feedback, and is helpful to shorten the test time of the DRAM chip and accelerate the test progress.

The invention discloses an implementation device capable of configuring a data conversion circuit. A register set is configured, a control logic signal is generated, logic conversion processing is conducted on data through the control signal, and finally data filling output is conducted. The device is simple in implementation structure, adopts a synchronous clock design, is convenient for time sequence check and verification, quickly completes data conversion and filling, is convenient to implement and expand on a chip, and enhances the practicability of embedded application; when the method is used for data conversion, the processing flow is simple and easy to control. The device can conveniently generate the data conversion format according to the requirement of the conversion mode so as to meet the application requirement. Therefore, the configurable data conversion circuit is an ideal structure realized by the configurable data conversion circuit.

This invention discloses a multi-condition self-traceable calibration method and system for insufflators, relating to the field of insufflator metrology technology. The method includes: constructing a standard loop to apply back pressure and inject a controllable leakage; during a continuous calibration, controlling the insufflator under calibration to sequentially enter pressure stabilization, flow stabilization, and leakage disturbance conditions, synchronously collecting data through collaboratively working traceable pressure and flow references; comparing the reference measurements with the insufflator's readings to calculate pressure coupling error, flow coupling error, and dynamic response characteristics; performing standard state conversion based on preset standard pressure and temperature, fitting and generating calibration coefficients to correct the measured values, and generating a judgment result based on comparison of coupling error and dynamic response characteristics with preset thresholds; generating an automatic report including operating condition type, residual, final calibration measurement results, and uncertainty. This invention improves calibration accuracy and traceability through three-condition linkage calibration and environmental factor compensation.