123 results about "Information evaluation" patented technology

The invention provides an AI-based talent whole-process management method and device, electronic equipment and a medium, and the method comprises the steps: obtaining a recruitment application submitted by a recruiter, building a recruitment post after the recruitment application passes the approval, and generating the post responsibility information of the recruitment post based on a first sub-module of an AI model; obtaining resume information of the applicant, executing a resume information evaluation task based on a second sub-module of the AI model, and calculating a matching degree score between the resume information and the recruitment post; an interview invitation is sent to the applicant based on the matching degree score, an interview evaluation task is executed through a third sub-module of the AI model, the applicant receiving the interview invitation is interviewed, and an evaluation result of the interviewed applicant is obtained; and determining candidates based on the evaluation result, and sending a review notification or an in-job invitation notification to the candidates. According to the invention, the recruitment process is optimized, and the recruitment quality is improved.

The invention relates to the technical field of information fusion, in particular to a power equipment state information fusion system and method. The method comprises the following steps: obtaining time sequence signal data and infrared thermal image data, and constructing a power equipment heterogeneous fusion data set; acquiring power equipment position and power equipment environment data, performing multi-layer cross-mode data coupling in combination with the power equipment heterogeneous fusion data set, and constructing a power equipment information evaluation model based on the multi-layer cross-mode data coupling; therefore, through multi-source data fusion and cross-level evaluation model construction, the problems of a traditional power equipment monitoring system in the aspects of information island and prediction accuracy are solved, and the health management capability and fault early warning efficiency of power equipment are improved.

The invention belongs to the field of artificial intelligence and knowledge graph application, and relates to an intent-driven large model knowledge graph intelligent question and answer method and an intelligent agent. The method comprises the steps of receiving a question input by a user, and identifying a potential intention of the user; according to the identified intention and the information stored in the shared memory, selecting a proper tool from a tool only based on a large language model, a tool based on semantic analysis, a tool based on sub-graph retrieval and a general tool for reasoning; new information generated by the tool is updated into the shared memory; and in each iteration, the large language model evaluates the current reasoning state according to the information stored in the shared memory, and triggers a tool with a corresponding intention to perform supplementary reasoning according to the current reasoning state until enough information is collected to draw a conclusion or a preset upper limit of the number of iterations is reached. The method can improve the reasoning efficiency and accuracy, can be applied to complex question answering in various fields, and provides high-quality question answering service for users.

The invention discloses an occupational information evaluation method based on rule judgment and a large language model, and belongs to the technical field of information processing, and the method comprises the following steps: S1, obtaining a multi-modal document uploaded by a user, converting the multi-modal document into a Markdown format, and completing a shunting operation and a converging operation; s2, extracting a named entity of the multi-modal document after the confluence operation, and constructing a knowledge graph; s3, obtaining query content, and matching most relevant regulation content by using the knowledge graph; s4, generating specific improvement suggestions by utilizing the rule model according to the most relevant regulation content; and S5, adjusting the specific improvement suggestions by using a large language model to obtain a final evaluation result. Through the OCR technology, regular expression analysis and context-associated picture analysis, unified structured processing of texts, tables and pictures is achieved, and the problem that unstructured data are difficult to integrate in a traditional method is effectively solved.

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.

1. Name of this design product: Graphical user interface for a central control visualization platform for electronic equipment in a civil aviation cabin. 2. Purpose of this design product: an electronic device. 3. The key design point of this design product lies in the graphical user interface on the screen. 4. The picture or photo that best illustrates the key points of the design: main view. 5. The physical product is of conventional design and other views are omitted. 6.Purpose of the graphical user interface: used to summarize and update data display of civil aviation cabin information. The interface displayed in the main view is the graphical user interface of this software. The middle area of ​​the main view shows the flight cabin data summary, and the left and right sides show data indicators. The left side shows the cabin central control visualization platform, cabin service management and power consumption trend respectively. The right side shows the cabin response information evaluation, the real-time status of temperature and humidity in each cabin area and the cabin service demand data statistics. The lower middle area shows the real-time video inside or outside the cabin. In the main view, click on the "In-cabin response information evaluation" text area, and a pop-up window will display data indicators such as in-cabin service evaluation and in-cabin response times.

The invention discloses a reverse guidance type intelligent interaction method and system for realizing dynamic information assessment. The system comprises an information sufficiency assessor, an information sufficiency assessment device and a dynamic information assessment device, wherein the information sufficiency assessor is used for dynamically and quantitatively assessing and identifying key information gaps on the basis of an information entropy theory; the reverse questioning strategy generator is used for generating an optimal reverse guidance questioning sequence for supplementing a key information gap based on a Markov decision process model; the hierarchical problem decomposition engine is used for recursively decomposing a complex problem into a plurality of sub-problems by adopting a semantic tree decomposition technology, and fusing solution results of the sub-problems by utilizing an evidence theory fusion mechanism to form a problem solution; the personalized solution synthesizer is used for analyzing the cognitive level, learning style and attention characteristics of the user portrait, performing matching optimization on a problem solution and the user portrait, and calculating and measuring the semantic matching degree of the problem solution and the user portrait; and applying reinforcement learning to continuously optimize an output strategy according to user feedback to generate a personalized solution.

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 discloses a highway information evaluation method based on data management, and relates to the technical field of highway evaluation, and the method comprises the evaluation steps: S1, collecting highway traffic flow data, pavement state data and local meteorological data, and carrying out the preprocessing of the collected data; s2, extracting a correlation calculation characteristic value from the preprocessed data, synchronizing the processed data according to a time dimension, and enabling the collected data to correspond to each other; and S3, calculating a pavement damage rate, a traffic jam rate and a meteorological influence rate based on the data. According to the invention, the evaluation score is obtained by comprehensively considering each factor, a scientific basis is provided for the management decision, the grading and maintenance decision can determine the condition grade, make the maintenance strategy according to the grade, realize reasonable resource allocation, improve the overall operation and maintenance management level of the expressway, and avoid the problem of dependence on single data evaluation. The processing flow is effectively improved, and accurate evaluation and analysis are carried out.

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.

The invention provides an automatic software test method and system, a storage medium and equipment, and the method comprises the steps: obtaining a target code, extracting related information and test requirements, and generating a test case according to the target code and the test requirements through a trained large model; in response to the code change information, evaluating the influence range of code change on the test case, performing static analysis, determining the change of a code structure, performing dynamic analysis, and determining the change of a code execution path; according to the evaluation result of the influence range of the code change on the test case, determining a test case automatic adjustment strategy, running the adjusted test case, obtaining log data in the running process, extracting error information in the log data, performing code mapping on the error information, and determining an error position. According to the method, a large model technology is utilized, and the processes of automatic generation, intelligent adjustment, automatic result analysis, accurate problem positioning and the like of the test case are optimized, so that the efficiency and the accuracy of software testing are remarkably improved.

The invention relates to the field of limb exercise rehabilitation, in particular to an evaluation and training method for limb rehabilitation exercise of old people, and the method comprises a rehabilitation data collection module, an evaluation module and a training plan making module, the rehabilitation data collection module is used for collecting real-time rehabilitation information when the old people perform rehabilitation exercise in a current rehabilitation training period; the training plan making module is used for collecting rehabilitation test information of the old in a current rehabilitation exercise test, the evaluation module obtains and outputs a basic evaluation value, an endurance evaluation value and a rehabilitation effect evaluation value according to real-time rehabilitation information, the rehabilitation test information and historical evaluation data, and the training plan making module is used for automatically making a training method of a next rehabilitation training period. According to the method, the joint motion ability and pain feeling of the elderly patient are comprehensively considered, the exercise endurance related factors are introduced, the rehabilitation condition of the elderly patient is evaluated more comprehensively, the rehabilitation effect is dynamically monitored later, a scientific basis is provided for adjusting a rehabilitation training plan, and comprehensive, dynamic and personalized rehabilitation evaluation and training are achieved.

The invention relates to the technical field of enterprise information management, in particular to an enterprise multi-dimensional information management system based on artificial intelligence. Comprising a data acquisition unit used for acquiring enterprise internal data and public data; the data preprocessing unit is used for performing data cleaning on the data acquired by the data acquisition unit and storing the data in the data storage unit; the information evaluation unit is used for extracting the data in the data storage unit, calculating industry trend parameters, market demand parameters and policy orientation indexes and calculating information evaluation parameters M and is used for assisting enterprises to predict and judge market development changes; the information early warning unit is used for evaluating whether the enterprise internal data accords with a preset threshold value or not; and the display unit is used for displaying the data information, the information early warning parameter M and the early warning information in the data storage unit. According to the invention, effective management and analysis of information are realized, enterprise decision making and operation are assisted through identification and mining of enterprise internal information and public information, and management of enterprise information resources is optimized.

An assistance control system (100) containing a map database (4) storing map information and executing an assistance control to cause a moving object to move to a destination based on map information, the assistance control system comprising an electronic control unit configured to: generate or update the map information based on an input from a sensor attached to the moving object, to identify a large number of route candidates to the destination, to assess the security of the map information for each location or section and to calculate a map information assessment value, to evaluate the accuracy of the assistance control on the identified route candidates based on the calculated map information evaluation value, to set a priority for a route candidate with a lower rating among the route candidates higher than the priorities of other route candidates, to present a route candidate with the highest priority among the route candidates to an occupant of the moving object, or to steer the moving object along the route candidate with the highest priority, and update the map information evaluation value as a result of the movement of the moving object along the route candidate with the highest priority, and lower the priority of the route candidate with the highest priority based on an amount of change in the map information evaluation value within a predetermined time, wherein, when the number of times the moving object has moved along the route candidate having the highest priority is equal to or greater than a predetermined number of times, the electronic control unit may be configured to determine whether the amount of change between the map information evaluation value before the movement of the moving object and the map information evaluation value after the movement of the moving object is equal to or less than a first predetermined amount, and lower the priority of the route candidate having the highest priority when the electronic control unit determines that the amount of change is equal to or less than the first predetermined amount.

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 relates to the technical field of computers, in particular to a vehicle position information verification method and device, electronic equipment and a medium, and aims to improve the accuracy of position information verification. The method comprises the following steps: acquiring point cloud data periodically acquired by taking a vehicle as a reference in a preset range, matching the acquired target point cloud data with a point cloud map after the point cloud data is acquired each time, and acquiring target position information and an information evaluation value of the vehicle based on a matching result; when the information evaluation value belongs to a preset evaluation interval, obtaining position change information of the vehicle based on the target position information and historical position information of the vehicle; and obtaining a verification result of the target position information based on the position change information and the reference change information. As the reference change information provides reference position changes when the point cloud data are collected twice, whether the target position information is accurate or not can be judged in an auxiliary mode by comparing the reference change information with the position change information, and the accuracy of position information verification is 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 invention relates to the technical field of power supply marketing, and particularly discloses a power supply marketing management method and system based on resident data analysis, and the system comprises a power consumption data collection module which is used for collecting historical power consumption data of a resident, including actual power consumption and basic power consumption of all electric equipment, historical electricity consumption data of a resident is collected, the electricity consumption data is corrected through the electricity consumption data correction module in combination with the historical electricity consumption data of the resident, the real historical electricity consumption level of the resident can be reflected, and then the electricity consumption data corrected in a past period of time is evaluated through the resident information evaluation module. Therefore, whether the historical residents of the current house are changed or not can be judged, so that the situation that the accuracy of the result of analyzing the future power consumption demand of the residents based on the historical power consumption data is reduced and the subsequent marketing strategy making is influenced due to the fact that the historical residents are changed and the power consumption habits of the residents are greatly different is avoided.

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.