85 results about "Information evaluation" patented technology

The invention discloses a motor multi-parameter identification method based on sampling noise excitation and bias compensation, and the method comprises the steps: firstly obtaining the voltage and sampling current of a motor, and enabling the sampling current to comprise sampling noise; then constructing an information evaluation index, and adjusting a proportional parameter of a current controller to improve the identification information amount; then, shaft voltage feed-forward compensation is constructed to suppress electromagnetic torque pulsation; recursion is carried out by adopting a least square method based on the discrete linear parameterization model to obtain a parameter initial value and a covariance matrix; secondly, estimating offset-containing parameters on line, and calculating a sampling noise variance by using an estimated residual error; and finally, obtaining unbiased parameter estimation according to bias compensation iteration updating so as to output online estimation values of stator resistance, direct-axis inductance Ld, quadrature-axis inductance Lq and permanent magnet flux linkage.

The invention provides a prompt information evaluation method and device, electronic equipment, a medium and a program product, and can be applied to the technical field of artificial intelligence. The method comprises the steps that a pre-constructed query statement test data set is obtained, the query statement test data set at least comprises a plurality of error query statements, and each error query statement is used for triggering a target database to generate error prompt information in the execution process; inputting the error query statement into the target database, obtaining return information of the target database, and generating error prompt information based on the return information; based on the error prompt information, utilizing a large language model to obtain at least one corresponding correction query statement; and verifying the corrected query statement in the target database, and evaluating the quality of the error prompt information based on a verification result.

The invention relates to the technical field of medicine, and provides a medicine clinical value evaluation method and system, electronic equipment and a storage medium, and the system comprises a medicine information collection module which is used for obtaining first information of a to-be-evaluated target medicine; the evaluation standard construction module is used for setting an evaluation standard based on a preset evaluation requirement; the standard quantitative assignment module is used for performing weight assignment on the evaluation standard; the evaluation evidence integration module is used for acquiring second information of the target drug based on the evaluation standard set by the evaluation standard construction module and the first information; and the drug value evaluation module is used for evaluating the clinical value of the target drug based on the second information of the target drug by applying an evaluation standard. The method and the device are used for overcoming the defects of dimensionality stiffness, quantization distortion, evidence dispersion and decision lag during evaluation of the clinical value of the medicine in related technologies. The method and the device can be used for realizing scientific evaluation, dynamic management and scenarized decision of the clinical value of the medicine.

The invention belongs to the technical field of false information spreading and screening, and particularly discloses and provides a network news false information spreading and screening method, which comprises the following steps: screening key evaluation dimensions based on historical data, determining weights, generating evaluation rules, and determining the weight of each evaluation rule; determining a conventional or emergency monitoring mode according to the amplification of the forwarding quantity of the information to be screened and the number of matched words in a preset keyword library, identifying an initial publishing source through a propagation path, evaluating source authority, content consistency and propagation abnormality in the conventional mode, and outputting comprehensive credibility; in the emergency mode, the emergency credibility is directionally and rapidly evaluated and output, and finally, the credibility is matched with the early warning interval to obtain an early warning level; according to the method, the source authority is assessed based on the source information, the content consistency is judged through the text content, the propagation abnormality is assessed through the propagation data, the comprehensive credibility is output in combination with the assessment dimension rule, and multi-dimensional collaborative assessment of the source, the content and the propagation is achieved.

This application discloses a health detection method and system for new energy electric vehicles, relating to the field of big data technology, including: S101, collecting and storing the driver's biometrics and uploading it to a cloud platform; S102, storing and analyzing health data on the cloud platform; S103, viewing health data and health status; Step S102 is implemented in the following way: S201, determining the driver's health status based on the vital sign data; S202, establishing a health feature database, comparing the time series data of the cloud platform with the health feature database, and identifying the current health status of the driver; the health feature database is built into a hierarchical tree based on the time series data, and the hierarchical tree generates cluster superposition centers based on different difference points; the information evaluation rate and similarity rate are obtained based on the cluster superposition centers; it can effectively help drivers manage their own health status and effectively assist driving.

The present disclosure provides a sample generation method, a machine learning model training method, an information evaluation method, an apparatus, a device, a storage medium and a program product, relates to the technical field of computer and data processing, and particularly relates to the technical field of artificial intelligence, machine learning, big data, data mining and the like. The specific implementation scheme is as follows: for any one content publishing subject, determining target information according to the publishing content of the content publishing subject; determining a label for each content publishing subject according to the target information; and for any one content publishing subject, generating a subject sample according to the label.

The invention belongs to the technical field of new energy vehicles, and particularly relates to a hybrid vehicle approximate optimal energy management strategy integrating prediction and control, and the strategy specifically comprises the following steps: (1) constructing a global prediction domain, predicting a global speed curve through employing a bidirectional long-short-term memory network based on traffic data, and obtaining a global speed curve; obtaining a global approximate optimal reference state-of-charge sequence through a dynamic programming algorithm; (2) constructing a mesoscopic coordination domain, performing mesoscale speed prediction by adopting a method of fusing an encoder and a bidirectional long-short-term memory network, and solving a multi-scale information evaluation factor online and performing dynamic correction in combination with a grey wolf optimization algorithm; and (3) constructing a real-time control domain, introducing the evaluation factor to construct a multi-target optimal real-time control framework, and realizing instantaneous optimal mode decision and power distribution. According to the method, the economy, the smoothness and the NVH performance are comprehensively considered, global reference and real-time control are effectively decoupled, and the adaptability of the vehicle to a complex dynamic driving scene and the fuel economy of the whole vehicle are remarkably improved.

The invention discloses an information evaluation method and device, electronic equipment, a storage medium and a program product. The specific implementation scheme comprises the steps of determining to-be-evaluated information; determining a multi-kernel convolution model comprising multiple groups of dynamic convolution kernels; extracting features of the to-be-evaluated information based on the multi-kernel convolution model, and generating a length sensing text vector corresponding to the to-be-evaluated information; and based on the first length perception text vector and the second length perception text vector, determining a recruitment score corresponding to the to-be-evaluated information. The to-be-evaluated information is analyzed through the multi-kernel convolution model comprising multiple groups of dynamic convolution kernels, so that truncation of the to-be-evaluated information is avoided, and information loss in the evaluation process is reduced. According to the method, the length sensing text vector of the to-be-evaluated information is obtained, and the recruitment score is obtained based on the length sensing text vector, so that the rationality of the recruitment information in the to-be-evaluated information is evaluated, and the rationality of the recruitment information is ensured.

The present disclosure provides an information query method, device, equipment, storage medium and program product, relates to the technical field of data processing and computer, and particularly relates to the technical field of big data and intelligent search. The specific implementation scheme of the information query method is as follows: determining at least one candidate key information matched with the query information according to the query information; determining a first evaluation value for evaluating the candidate key information according to a key information evaluation parameter; determining at least one target key information from the at least one candidate key information according to the first evaluation value; and determining target content information according to the at least one target key information.

This application discloses a method, device, equipment, and medium for monitoring the execution of nursing plans, relating to the field of medical information technology. It preprocesses multivariate nursing information of the current patient to obtain a current nursing plan; inputs the current nursing plan into a target BERT model to obtain structured task tuples including various nursing interventions; uses an incremental FUP algorithm to mine strong association rules between the types of nursing interventions in the structured task tuples and the nursing record types corresponding to the current nursing execution event, and constructs an association graph based on these strong association rules; matches the current nursing execution event with the nursing interventions in the structured task tuples based on the association graph to obtain association evidence information; evaluates the execution status of the current nursing plan based on the association evidence information, and generates a quality control report based on the evaluation results. This eliminates data fragmentation in nursing plan execution monitoring, thereby improving the accuracy of monitoring results.

The invention discloses an information evaluation method, and relates to the technical field of intelligent information evaluation, and the method comprises the steps: deploying a protocol conversion rule of a field identifier; automatically matching and corresponding the extracted diagnosis data with the one-stop certificate handling system terminal for the disabled to form an automatically matched and corresponding information item; and performing secondary evaluation on the generated preliminary evaluation suggestions. According to the method, standardized access and field unification of multi-source heterogeneous medical data are realized, the compatibility of data interaction between systems and the accurate matching capability of diagnostic information are improved, and manual intervention and subjective judgment errors are reduced; the information processing efficiency of the one-stop certificate handling service of the disabled is remarkably improved, the automation level and the system cooperation capability are evaluated, the intelligence of the certificate handling process is realized, and the response speed and the service quality of the government affair service are improved.

The invention relates to an elderly self-care ability assessment method and system, electronic equipment and a storage medium, and relates to the technical field of smart pension, and the self-care ability assessment method comprises the steps: obtaining the physical condition of a supervision object according to a physical examination report and a figure posture image, and generating a body health state table; according to the psychological health test table, the home audio set and the key behavior mode, quantifying the psychological state of the supervised object to obtain a psychological health state table; according to the life behavior indexes, daily life habits of the supervision object are obtained, and a social health state table is generated; according to the body health state table, the psychological health state table and the social health state table, constructing personal portrait information of the supervised object in combination with drug compliance; adopting a self-care evaluation model to judge the self-care ability level of the supervised object according to the personal portrait information; the overall evaluation process is simplified, the information evaluation efficiency and the evaluation accuracy are improved, and the personalized service matching accuracy is improved.

This invention relates to an information processing apparatus, an information processing method, and a storage medium. An information processing apparatus includes: an acquisition unit that acquires vehicle information related to a vehicle; an evaluation unit that performs a driving-related evaluation for a specific driver based on the acquired vehicle information and whether multiple evaluation items are good or bad; a receiving unit that receives a selection regarding whether to notify the specific driver of test information concerning a predetermined test of driving skills performed by a predetermined organization; and a control unit that performs control to prioritize displaying a specific evaluation item among multiple evaluation items, other than a specific evaluation item related to a determined item concerning whether the specific driver will undergo the predetermined test, when the evaluation result is displayed on a display unit and the receiving unit has received a selection to notify the specific driver of the test information.

The embodiment of the invention provides a transaction information evaluation method and device, equipment and a medium. The method comprises the following steps: acquiring a video frame and touch data in a transaction process; inputting the video frame into a first model obtained by pre-training, and determining an object evaluation attribute of a target object in the video frame; determining the watching confidence of the target object according to the video frame and the center coordinate of the key area in the transaction interface; for the touch data, inputting the touch data into a second model obtained by pre-training, and determining a touch evaluation attribute of the target object; and determining a target object transaction attribute according to the object evaluation attribute, the gaze confidence, the touch evaluation attribute, the transaction scene information and the interaction risk evaluation function. According to the technical scheme of the embodiment of the invention, the transaction attribute of the target object is determined based on the video frame and the touch data in the transaction process, and through combination of multiple biological recognition modes, the accuracy and safety of identity authentication of the target object are enhanced, and the interaction experience of customers is optimized.

The goal is to reduce miscommunication between the requesting physician and the testing personnel. [Solution] An information processing device (HIS1) for creating inspection order information comprises an evaluation receiving unit (control unit 11) that receives evaluation information for the inspection order information, and a first display control unit (control unit 11) that displays the evaluation information, or support information that assists in creating inspection order information based on the evaluation information, on a display unit 12.

An information security transmission method based on remote control mainly comprises the following steps: evaluation and grading of transmission information: comprehensively analyzing operation data of a remote control system of an unmanned vehicle, and performing priority grading of the transmission information by using a machine learning model; according to the obtained information transmission levels, scheduling and arranging the transmission of the data information in sequence according to the levels from high to low; an instruction sent by a remote control system of the unmanned vehicle and feedback information of the unmanned vehicle are monitored in real time, abnormity is monitored and handled in time through a safety strategy and a related handling method, and it is guaranteed that the instruction sent by the remote control system of the unmanned vehicle and the feedback information of the unmanned vehicle are safely transmitted. According to the method, the control instruction of the remote control system of the unmanned vehicle in the current unsafe and reliable communication environment can be accurately, timely and stably transmitted to the unmanned vehicle, and safe control of the unmanned vehicle is realized.

Based on house plans and information, the system automatically and accurately outputs house valuation-related data. [Solution] The information processing device includes: an evaluation base information acquisition unit that acquires evaluation base building drawings and evaluation base building information, evaluation base building components and evaluation base building equipment provided in the evaluation base building drawings; a boundary identification unit that compares grid lines along building modules based on building drawings and building information with evaluation base building information and identifies evaluation base building components and evaluation base building equipment that meet predetermined conditions as boundary lines constituting the building; a wall identification unit that identifies detailed information of walls based on boundary lines, evaluation base building drawings and evaluation base building information; a room identification unit that identifies detailed information of rooms based on boundary lines, evaluation base building drawings and evaluation base building information; and an output unit that outputs evaluation data necessary for house evaluation based on evaluation base building drawings and evaluation base building information, detailed information of rooms and detailed information of walls.

According to an embodiment of the present disclosure, a method, device, equipment and storage medium for evaluating a target task are provided. The method comprises: determining at least one dialogue set by dividing the multi-round dialogue data of a target object arranged in reverse chronological order; determining the corresponding evaluation information of the at least one dialogue set by using a trained machine learning model, the evaluation information at least indicating the operation characteristics and attitude change trend of the target object in the corresponding time range for the target evaluation task; determining the target evaluation information for the multi-round dialogue data by performing a weighted fusion operation on the corresponding evaluation information based on the corresponding time range; and determining the evaluation result for the target evaluation task based on the target evaluation information. Thus, by batch summarization and time sequence weighting, the behavior and willingness change of the user in different time ranges can be effectively captured, thereby improving the accuracy of the evaluation and the sensitivity to the time sequence trend.

The invention provides an intelligent rehabilitation evaluation and training system and method, and the system comprises a data collection module which is used for obtaining the full-dimensional information of a patient; the evaluation recommendation module is used for recommending one or more standardized rehabilitation evaluation scales through an artificial intelligence model based on the full-dimension information; and the training scheme generation module is used for generating a personalized rehabilitation training scheme based on an evaluation result obtained by executing the rehabilitation evaluation scale recommended by the evaluation recommendation module. The method comprises the following steps: S1, acquiring full-dimensional information of a patient; s2, on the basis of the full-dimension information, one or more standardized rehabilitation evaluation scales are recommended through an artificial intelligence model; s3, obtaining an evaluation result obtained by executing the recommended rehabilitation evaluation scale; and S4, based on an evaluation result, generating a personalized rehabilitation training scheme. The method has the advantages of being high in evaluation accuracy, high in treatment scheme scientificity, high in system self-evolution ability, high in clinical applicability, convenient to operate and the like.

Techniques and apparatuses for information evaluation processes are described. In one embodiment, for example, a computer-implemented method for performing an anomaly-by-anomaly review process can include accessing, via one or more processors of a computing device, chromatographic information generated via analysis of a sample using a mass spectrometry system, the chromatographic information including at least one peak and at least one peak attribute of the at least one peak; determining posterior probability information for the chromatographic information; generating an estimated peak model based on the posterior probability information; determining a confidence indicator for the estimated peak model; and generating an anomaly for the at least one peak in response to the confidence indicator exceeding an anomaly threshold. Other embodiments are described.

The invention relates to the technical field of solid state disk testing, and discloses a method and a system for testing data retention of a solid state disk. The testing method comprises the following steps: selecting a to-be-tested solid state disk, and initializing a testing environment of the solid state disk; writing test data into the solid state disk, and performing whole disk data verification and bad block scanning to obtain a first verification result and first bad block information; performing high-temperature processing on the solid state disk, and then performing cooling processing on the solid state disk; performing secondary full-disk data verification and bad block scanning on the solid state disk to obtain a second verification result and second bad block information; evaluating the data retention according to the first verification result, the second verification result, the first bad block information and the second bad block information; a data degradation process is accelerated through a high-temperature environment, the data retention of the solid state disk under a long-term high-temperature storage condition is simulated, and data errors and bad block growth conditions are quantified through full-disk data verification and bad block scanning, so that the data retention is comprehensively evaluated.

The application discloses a kind of based on public policy information evaluation city group coordination relationship's method, it is related to urban planning data analysis technical field, step S1 obtains the data text of coordinated development policy from network;Step S2 establishes administrative hierarchy category, policy subject topological relationship category and policy theme category, key attribute is coded, forms city group coordinated development policy information base;Step S3 determines the geographical space coordinate of city, and gives city group coordinated development policy information base assignment;New field is established to refer to the coordinate of two cities that there is coordination relationship between each other, forms OD matrix file;Step S4 creates geographical space database, and OD matrix file is imported to geographical space database;Step S5 generates linear model file using XY to Line tool;Step S6 utilizes natural breakpoint grading method and divides into several levels coordination relationship intensity R, forms city group coordination relationship network diagram.

The application discloses a kind of information sharing method and system in Internet of Vehicles, belong to Internet of Vehicles technical field, the method includes: when current information providing vehicle enters new area, request initialization parameter to the central roadside unit in current area and update the current area code of the vehicle;Collect road traffic information and search whether the same road traffic information has existed, realize the filtering of redundant information and reduce unnecessary communication resources;Find out the distance of multiple information evaluation cars and transmit the result to the nearest RSU a Communication distance can be reduced to improve communication efficiency and improve evaluation accuracy;RSU a Retrieval of the index of evaluation result can reduce the transmission of information redundancy, and the index of scoring result is packaged and uploaded to the coordination RSU node to realize node consensus;Finally solve the problem of low consensus efficiency and waste of network resources caused by massive vehicle data and repeated traffic report transmission in existing Internet of Vehicles.

The invention discloses a cable tunnel fault inspection system based on a foot-type robot, and relates to the technical field of intelligent inspection of power equipment, and the cable tunnel fault inspection system is characterized in that a foot-type mobile platform collects data of temperature, infrared, magnetic field, partial discharge, mechanical vibration and the like in a tunnel, and risk feature information is obtained through current-carrying correction, condensation false suppression, magnetic consistency correction and feature coding. The risk assessment module generates heat, partial discharge, magnetic and mechanical risk values by using a fusion neural network and forms a fault risk result; and the information evaluation module performs calculation based on map entropy reduction and infrared alignment degree and combines uncertainty estimation to correct an observation value so as to obtain an information gain result. And the decision control module couples the risk and information channels through a double-gate multi-task neural network, generates a control potential function, realizes semi-sequential parallel switching between a joint mode and a steady-state mode, and drives action execution to complete partitioned inspection and evidence collection. And the inspection result is bound to the cable asset and loop identifier, so that the fault identification precision and the operation and maintenance efficiency are improved.

The invention discloses a parcel compliance intelligent detection method and device and an unmanned parcel supply system, which improve the accuracy of parcel feature judgment, reduce the probability of parcel following and collision when a parcel enters an automatic parcel supply table, and improve the overall operation stability of the unmanned parcel supply system. The parcel compliance intelligent detection method comprises the following steps: step 1, acquiring an image stream containing parcel appearance and depth information thereof; step 2, based on the package appearance in the image flow obtained in the step 1, obtaining a preliminary evaluation result of the image dimension based on a trained package detection model; 3, calculating a depth information evaluation result based on the depth information in the image flow obtained in the step 1; and 4, carrying out fusion decision on the preliminary evaluation result of the image dimension in the step 2 and the depth information evaluation result in the step 3, and judging the compliance of the package.

The invention provides an intelligence source quality evaluation method, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring a plurality of test samples, wherein the test samples comprise black samples and white samples; according to the plurality of test samples, determining a false alarm rate and a missing report rate corresponding to each to-be-tested intelligence source in the at least one to-be-tested intelligence source; determining at least one first intelligence source in the at least one to-be-tested intelligence source according to the false alarm rate and the missing report rate corresponding to each to-be-tested intelligence source; in a preset period, obtaining backbone network data in real time, and using the backbone network data to perform blind testing on the at least one first intelligence source to obtain alarm information corresponding to each first intelligence source in the at least one first intelligence source; and based on the false alarm rate and the missing report rate corresponding to the at least one to-be-tested intelligence source and the alarm information corresponding to the at least one first intelligence source, evaluating the quality of each to-be-tested intelligence source. And evaluation deviation is avoided.

The application provides an antenna leakage evaluation method based on a cable sensor and a protection method thereof. The sensing information of the cable type leakage sensor is used to evaluate four states of no leakage, leakage state 1, leakage state 2 and leakage state 3 in the antenna. For the leakage state 2 and the leakage state 3, the protective measures of automatically cutting off the cooling liquid supply, sending a signal to turn off the main power supply of the antenna, opening a liquid discharge valve to discharge the liquid and preventing the leakage cooling liquid from accumulating to submerge the functional circuit of the antenna and causing damage are taken. The application considers various leakage situations of the cooling liquid in the antenna. For the leakage state 1, the possible risk module is positioned according to the sensing information evaluation, and a maintenance suggestion is given. For the leakage state 2 and the leakage state 3, timely liquid cutting, power cutting and liquid discharging measures are taken. The application effectively reduces the maintenance work intensity of the staff, improves the maintenance work efficiency, reduces the risk of antenna damage caused by liquid cooling leakage, and improves the safety and reliability of the liquid cooling antenna array work.

The invention relates to the technical field of medical information processing, in particular to a medical care physical examination data protection method and system, and the method comprises the steps: collecting and preprocessing the physical examination information of a patient, constructing a word segmentation coding data sequence, obtaining a nursing database, and reading the physical examination information of a historical patient; evaluating the physical examination sentence segment attention degree of the patient based on the word segmentation coding data sequence in combination with the physical examination information of the historical patient, determining the word segmentation application high frequency through the nursing database, and screening high-frequency segmented words according to the word segmentation application high frequency; analyzing the word segmentation coded data sequence corresponding to the high-frequency word segmentation to determine the encryption level demand degree of the high-frequency word segmentation; determining the encryption round of the high-frequency word segmentation through the encryption level demand degree, determining the range involved in the encryption round, and limiting the distribution of the high-frequency word segmentation with the same encryption round; physical examination information protection of the patient in the nursing database is perfected through encryption rounds. And an encryption round with a higher adaptation degree is matched for each segmented word, so that the safety protection level of the nursing data is improved.

An object of a system according to an embodiment is to enable an elderly person to appropriately respond to a fraudulent call.SOLUTION: A system includes audio glasses, a generation AI, a caller information analysis unit, a fraud detection unit, a user setting learning unit, a real-time advice unit, and an emergency call unit. The audio glasses acquire the voice of the caller. The generation AI analyzes the voice of the caller acquired by the audio glasses. A caller information analysis part evaluates the identity and reliability of the caller on the basis of the information analyzed by the generation AI. The fraud detector determines the likelihood of fraud based on the information evaluated by the caller information analyzer. The user setting learning unit learns setting information of a user and past report data. The real-time advice unit provides advice in real time based on the information determined by the fraud detection unit. The emergency notification unit performs emergency notification when the fraud detection unit determines that there is a high possibility of fraud.SELECTED DRAWING: Figure 1

The invention discloses a research center information evaluation method and system based on multi-source data analysis. The method comprises the following steps: acquiring basic information, dynamic data and unstructured text data of a research center to obtain multi-source data; integrating and comparing the multi-source data by using rule matching, NLP analysis and trend comparison methods so as to identify a conformity standard and an expression trend and obtain a comparison result; automatically adjusting and optimizing the index weight through machine learning on the basis of the initial weight set by an expert in combination with the comparison result, and meanwhile, calculating the grouping success rate and the starting speed by applying a prediction model to obtain a calculation result; further based on the key parameters of the project and a basic database, intelligently drawing a test scheme by using a generative model, generating a grouping plan and cost prediction, matching the generated scheme requirement with a calculation result, and intelligently recommending the most adaptive research center; generating a comprehensive report including root cause speculation, semantic extraction and multi-dimensional analysis according to a calculation result; actual project performance feedback is recorded, model calibration is carried out, and data recollection is guided according to data sensitivity and timeliness. By implementing the method provided by the invention, a more efficient, comprehensive and dynamic solution is realized to improve the success rate and management efficiency of clinical tests.