50results about How to "Enables automated assessment" patented technology

The invention discloses WLAN (Wireless Local Area Network) quality monitoring system and method and application, wherein the method comprises the following steps of: issuing a WLAN quality testing task to a monitoring terminal by using an operation maintenance center through a mobile communication network; monitoring the WLAN quality of a local WLAN access point by using the monitoring terminal according to the WLAN quality testing task, and then reporting a monitoring result to the operation maintenance center by using an WLAN; and carrying out statistic and trend analysis to the received WLAN quality monitoring result by using the operation maintenance center to evaluate the network quality of the local WLAN access point of the monitoring terminal. The system overcomes the subjective defect existing in an artificial route measuring method and greatly saves the monitoring cost.

The invention provides a depression automatic evaluation system and method based on phonetic features and machine learning. On the basis of speech processing, feature extracting and machine learning technologies, the system and method search for the relations between phonetic features and depression, and provide objective references for clinical diagnosis of depression. The system includes 1, a speech acquisition recording module for recording speech information of testees at different emotional and communication stimulation; 2, a speech feature calculating module for calculating acoustic features of the speech, 3, a speech database module containing relative data for speech feature efficiency analysis, classifier training optimization and a system classification rate; 4, a machine learning module for determining an extracting mode of effective features and training a classifier for automatic evaluation; 5; an automatic evaluation module. The system and method conduct depression degree classification on the effective speech features of the testees according to the extracting mode of the effective features and a classification mode of the trained classifier.

The invention discloses a credit investigation default risk assessment method and device, a storage medium and a computer device, which relates to the technical field of data processing, and mainly aim at solving the problem that most credit card departments of domestic banks adopt manual examination and approval operation form, low efficiency, and face great risk of fraud and default. The methodincludes: obtaining credit information, basic information and loan record information of users, and carrying out data quantification processing on variable information in credit information, basic information and loan record information; Feature box is used to divide and select the variable information after data quantization. Feature box is used to discretize the continuous variable information.Through the pre-established credit default risk assessment model to calculate the credit default risk assessment value of the variable information after variable partition, the credit default risk assessment model is a logistic regression model to predict the credit default risk assessment value according to the variable information.

The invention discloses an automatic monitoring system for a WCDMA network, comprising an operation maintenance center and a monitoring terminal, wherein the operation maintenance center is connected with the monitoring terminal through a WCDMA mobile communication network signal. The invention also discloses an automatic monitoring method for the WCDMA network which comprises the following steps: a, the operation maintenance center transmits a testing task to the monitoring terminal through a mobile communication network; b, the monitoring terminal monitors the current network signal quality according to the testing task and reports monitored network signal quality parameters and a monitored testing result to the operation maintenance center through the WCDMA mobile communication network; and c, the operation maintenance center carries out statistic and trend analysis to evaluate the network signal quality of a position at which the monitoring terminal is located. The invention has continuous network performance evaluation, wide covering area range, no need of personnel evaluation as well as very high practical and generalized value, and greatly saves manpower and material resources.

The invention discloses a system for automatically testing the service life of a probe. The system comprises a touching force sensor, the probe, a probe clamp, a probe electrode outgoing line, an up-down moving device, a four-wire type tester and a data processing system, wherein the data processing system is used for automatically saving tested data and analyzing the data in real time. The system is characterized in that the probe clamp is mounted on the moving end of the up-down moving device; the probe is mounted below the probe clamp; a circuit board for leading out the electrode of the probe is mounted above the probe clamp and is connected with the input end of the four-wire type tester by the probe electrode outgoing line; the touching force sensor is fixed under the probe and is connected with the data processing system by a wire; and the output end of the four-wire type tester is connected with the data processing system. The system for automatically testing the service life of the probe is simple in structure and precise in tested data, and can implement the automatic evaluation for the service life of the probe.

The invention discloses a child development ability evaluation method and device. The method comprises the steps of obtaining a target evaluation table matched with the age of a child to be evaluated in a preset evaluation table database, and outputting the target evaluation table, wherein the target evaluation table comprises all evaluation items used for evaluating the development ability of the child to be evaluated; obtaining an evaluation value of the child to be evaluated corresponding to all the evaluation items in the target evaluation table, evaluating the development ability of the child to be evaluated according to the obtained evaluation value and a preset evaluation rule, and outputting an evaluation result. Compared with the prior art, the child development ability evaluation method and device can effectively achieve automatic evaluation on the development ability of children, the evaluation does not need to be conducted artificially, the cost can be effectively saved, and the efficiency is improved; moreover, by conducting the evaluation through the adoption of the preset evaluation rule, a unified standard is provided for the development ability of the children, and the accuracy of the evaluation can be effectively guaranteed.

This invention relates to an intelligent and healthy monitoring system for large complex roof web structure, which comprises sensor system, collection communication interface and data base for storing data and is characterized by the following: there are located with intelligent alarming system of the web structure working status and intelligent system to support steel racket work status and web structure pole and ball joint self diagnose system for welding crack and web structure anti-elapse safe real time valuation system between the communication interface and the data base to store data. This invention can realize the real-time automatic working status alarming , structure damage self-diagnose and structure anti-elapse safe valuation to ensure the safety in the use of the web structure.

The invention provides an iris positioning segmentation system based on a cavity residual attention structure. The iris positioning segmentation system comprises a feature extraction structure, a segmentation structure and a scoring structure. The feature extraction structure comprises M feature extraction modules which are connected in series step by step, and output of an Mth feature extractionmodule is connected with input of the scoring structure and input of the segmentation structure. The segmentation structure includes M-1 upsampling modules and M-2 feature fusion modules arranged in cascade. Output of an i-th feature extraction module is input to an M-i-level feature fusion module. The other input of a feature fusion module is connected to output of an upper sampling module. A M-1th upper sampling module outputs a mask image after cutting. The feature extraction structure comprises N cavity attention residual structure DARB and 1 downsampled hole attention residual structure DADRB. The DARB is used for building the neural network. Accurate and rapid iris area division is achieved by designing the multi-branch network, and automatic iris area quality evaluation is achieved.

The invention discloses a data processing method and device for quantifying news value based on user release content. The method comprises the steps of constructing a news value quantification model in advance, and quantifying the news value of the content published by a user from three dimensions of social importance, deviation and weight change conditions; for three indexes of social importancefrom participants, quantifying event positions and events, two indexes of deviation from event degree conflicts and statistics of scarcity, and quantifying two indexes of weight change condition frominformation timeliness and integrity; and extracting information elements from the user published content, performing quantitative processing, and performing calculation to obtain a news value quantitative value of the user published content. The device comprises a news value quantification module and an information extraction module. According to the method and the device provided by the invention, valuable news clues are found from mass text data, the value index of the published report of the new event in the network is obtained in a more efficient and intelligent manner, the length of a news production chain is shortened, and the timeliness of news clue discovery is improved.

The invention provides a method for evaluating students' extracurricular physical exercise performance based on a smart bracelet. The method comprises the following steps that step 1, a user turns onthe smart bracelet after arriving at the playground, the bracelet is automatically connected with a base station, the user starts running for exercise, the bracelet records start exercise time ts anduploads the start exercise time ts to a server; step 2, the bracelet collects exercise information of the user in real time and sent data to the base station every t0 time, the base station uploads the data to the server through the Internet after receiving the data and saves the data into a database; step 3, if not turning off the bracelet, the user continuing running, step 2 is returned, otherwise, the exercise end time te is recorded and uploaded to the server, if the exercise time T1 equaling to te-ts is less than a data statistics period T, the score is 0, and otherwise, statistic analysis is carried out on the exercise data to obtain the score. Compared with a traditional morning exercise card punching system, the method for evaluating the students' extracurricular physical exerciseperformance based on the smart bracelet overcomes the disadvantages, and students can do physical exercise in any spare time, so that the students can actively participate in extracurricular physicalexercise activities.

The invention discloses a radiotherapy plan evaluation method and device, relates to the field of medical technology, and mainly aims to be able to realize automatic evaluation of a radiotherapy planso as to improve the efficiency and accuracy of the radiotherapy plan evaluation. The method includes the steps of analyzing a radiotherapy plan to be evaluated to obtain radiotherapy information andtarget area attribute information; inputting the radiotherapy information into a pre-trained deep learning model for training, the deep learning model being used for outputting the target area attribute information according to a mapping relationship between the radiotherapy information and the target area attribute information; judging whether the target area attribute information obtained from the analysis conforms to the target area attribute information output by the deep learning model; and if not, determining the radiotherapy plan to be abnormal. The radiotherapy plan evaluation method and device in the invention are suitable for the evaluation of radiotherapy plans.

The invention relates to a method and a device for Zigbee technology-based FlexRay bus test and optimization. The device comprises a PC, a Zigbee module and a FlexRay bus test node, wherein the FlexRay bus test node comprises a Zigbee module, a programmable clock chip, a digital potentiometer and an MCU microprocessor. According to the method and the device disclosed by the invention, the state of a FlexRay bus is detected and controlled in real time by applying a Zigbee technology, the programmable clock chip and the digital potentiometer are utilized for adjusting a transmission frequency and a matching impedance, reducing the packet error rate of the bus, improving the transmission quality and the reliability of the bus, and increasing the transmission efficiency of the bus; the method and the device are capable of realizing automatic assessment, test and parameter optimization for the performances of the FlexRay bus, and capable of giving the optimal impedance matching reference value of each node, thus improving the reliability of the data transmission of the FlexRay bus.

The invention discloses a bridge health state evaluation method, device, system and equipment. The bridge health state evaluation method comprises the steps of obtaining bridge inspection informationof a target bridge; based on a bridge monitoring system, obtaining structural response information of the target bridge, and the structural response information comprises one or more of deflection, temperature, humidity and stress-strain; and evaluating the health state of the target bridge according to the bridge inspection information and the structure response information of the target bridge.According to the technical scheme provided by the embodiment of the invention, the inspection information and the structure response information of the bridge are integrated, so that the health stateof the bridge is automatically evaluated, and the comprehensiveness, scientificity and accuracy of evaluation are improved.

The invention discloses an electricity distribution park value evaluation method and device. The electricity distribution park value evaluation method comprises the following steps: acquiring basic information of a park; according to the basic information, establishing a first-level index and a second-level index for evaluating the value of the electricity distribution park; assigning a value to each secondary index; normalizing the secondary index values; using a principal component analysis method to obtain the comprehensive value and each first-level index value of the park; obtaining the comprehensive value and each primary index value of the park by using a weighted rank-sum ratio method; and combining the park value obtained by the principal component analysis method and the weightedrank-sum ratio method, and performing weighted average to obtain a final value evaluation result. According to the electricity distribution park value evaluation method, the social value of the electricity distribution park is accurately evaluated from multiple aspects, and the evaluation value of each first-level index of the park is calculated while the comprehensive value of the park is calculated, and the evaluation method is more detailed and detailed, and the index quantification difficulty is greatly reduced, and too high subjectivity is avoided.

The invention belongs to the technical field of child nutrition and growth and development relationship evaluation, and discloses a method and a system for evaluating the relationship between nutrition and growth and development of children. The method for evaluating the relationship between nutrition and growth and development of children comprises the following steps: acquiring personal information data of names and ages of children, and acquiring height data, weight data and blood element index data of children; drawing a child nutrition and growth relation curve image according to the collected data, and testing the child psychology; evaluating the development ability, cognitive ability and comprehensive ability of children; and finally, storing and displaying the acquired data. According to the invention, through the developmental capacity evaluation module, automatic evaluation of the developmental capacity of children can be effectively realized, manual evaluation is not needed,the cost can be effectively saved, and the efficiency is improved; meanwhile, cognition and abilities of children of different ages in different art fields within sample time can be accurately inferred through the cognition ability evaluation module.

The invention discloses a TD-LTE (Time Division Long Term Evolution) network quality monitoring system, comprising an operation maintenance center and a monitoring terminal. The operation maintenance center and the monitoring terminal are in signal connection through a TD-LTE mobile communication network. The system performs the following steps that the operation maintenance center issues a test task to a fixed monitoring terminal through the mobile communication network or a mobile monitoring terminal automatically obtains the test task; the monitoring terminal monitors current network signal quality according to the test task and reports monitored network signal quality parameters and test results to the operation maintenance center through the TD-LTE mobile communication network; and the operation maintenance center carries out statistics and trend analysis, thereby evaluating the network signal quality of a location where the monitoring terminal is at.

The invention discloses WLAN (Wireless Local Area Network) quality monitoring system and method and application, wherein the method comprises the following steps of: issuing a WLAN quality testing task to a monitoring terminal by using an operation maintenance center through a mobile communication network; monitoring the WLAN quality of a local WLAN access point by using the monitoring terminal according to the WLAN quality testing task, and then reporting a monitoring result to the operation maintenance center by using an WLAN; and carrying out statistic and trend analysis to the received WLAN quality monitoring result by using the operation maintenance center to evaluate the network quality of the local WLAN access point of the monitoring terminal. The system overcomes the subjective defect existing in an artificial route measuring method and greatly saves the monitoring cost.

The invention discloses a shortwave receiving antenna efficiency aerial three-dimensional wireless automatic detection system and method. The system mainly comprises a transmitting antenna for test, a lithium battery power supply module, a power amplification module, a wireless network module, a radio frequency generating module, an ARM system main control system, a radio frequency signal acquisition module and the like; the execution and calculation part of the system mainly comprises an unmanned aerial vehicle detection flight path planning module, a detection data analysis, modeling and evaluation module and a record report storage and graphic presentation module; certain radio frequency power signals are radiated to a receiving antenna to be tested in an omni-directional spatial three-dimensional manner; the change conditions of radio frequency signals induced by the shortwave receiving antenna are detected in real time; the actual receiving efficiency and other information of the shortwave receiving antenna are measured, recorded, stored and transmitted; the heath state of the shortwave receiving antenna is judged; and related models are built for the performance change trends, residual service life, availability, and other content of the shortwave receiving antenna, so that comprehensive assessment can be performed.

The invention belongs to the technical field of information fusion, and provides a sensor data credibility evaluation method based on multi-source heterogeneous information fusion. The objective of the invention is to overcome the problem that the actual situation in the current working environment cannot be reflected because the data of the actual situation cannot be evaluated correctly and accurately when sensors are interfered manually by the existing evidence theory, Bayesian estimation and other sensor data credibility evaluation methods. According to the method, firstly, new data credibility definitions are provided, data obtained through multiple algorithms are fused to predict the data of the to-be-evaluated sensor nodes, the unicity of the algorithms is avoided, and a monitoring system is more stable and reliable; secondly, by utilizing the space-time relationship of the sensor source, the credibility index of the sensor is increased, and the real working environment can be more objectively reflected; and finally, in combination with a multi-source heterogeneous information fusion algorithm, when the sensor is artificially interfered or shielded, the sensor data can also be effectively evaluated.

The invention discloses a receiver pulse signal interference evaluation method based on an error rate. The method comprises the following steps: S1, determining an error rate calculation formula of a receiver under pulse signal interference; s2, preparing two groups of receiving antennas of which the working frequencies cover the passband of the receiver, wherein one group of receiving antennas is connected with a broadband oscilloscope, and the other group of receiving antennas is connected with a spectrum analyzer; s3, processing the data received by the broadband oscilloscope and the spectrum analyzer and obtaining the pulse period, the pulse width and the received signal to interference ratio of the unknown pulse signal when being interfered by the unknown pulse signal; s4, estimating the bit error rate value of the receiver under the pulse interference according to the bit error rate calculation formula obtained in the step S1; and S5, evaluating the disturbed degree of the receiver according to the predetermined relationship between the bit error rate and the working efficiency of the receiver and the estimated error rate. According to the method, the interference degree of the pulse signal on the receiver is objectively quantified, and the effectiveness of the evaluation result is ensured.

The invention relates to the field of engineering cost management, in particular to a building engineering cost evaluation management system based on big data analysis, and the system comprises a building engineering drawing analysis module which is used for achieving the analysis of building engineering drawings, and obtaining the type parameters, size parameters and number parameters of built-in building engineering components; the building engineering quantity analysis module is used for obtaining a corresponding building engineering construction quantity summary sheet; the building material analysis module is used for acquiring a corresponding building material summary sheet; and the building engineering cost evaluation module is used for obtaining the pricing standard of each building engineering construction type and the pricing standard of each building material based on the big data platform, and realizing the evaluation of the cost corresponding to the current building engineering drawing based on a preset algorithm. According to the invention, automatic evaluation and dynamic tracking of the engineering cost data are realized, and the accuracy of the engineering cost evaluation result can be improved while the deviation can be found in time.

The invention discloses a spatial stereo wireless automatic monitoring system and method for short wave emission antenna efficiency. The system comprises a monitoring, a lithium battery power supply module, an SD card spare storage module, a wireless network module, an integrated test module, an ARM system master control module and other parts. A monitoring control management and data processing server comprises a UAV monitoring flight path planning module, a wireless network module, a monitoring data recording and storage module, a monitoring data analysis and processing module, a record report and graph representing module and a monitoring data modeling and evaluation module. According to the invention, the real-time detection of the change of the spatial electromagnetic signal during the operation of the short wave emission antenna, the measurement, recording and storage of information of the actual radiation efficiency and the like is carried out. The real-time monitoring data combined with the actual flight path of the UAV are processed by the existing stereo space model. Compared with the theoretical threshold, the health status of the short wave emission antenna is determined, and related modes for the performance change of the short wave emission antenna, the remaining life and the availability are established.

The invention discloses a metering system evaluation method and device and a readable storage medium. The method comprises the steps of screening the energy consumption characteristic information of auser according to a preset keyword, and obtaining a key information item; carrying out energy consumption characteristic measurement and calculation based on the key information item, and determininga corresponding operation state parameter; and performing comparative analysis on the operation state parameter and a preset operation model library based on an output result of the operation state parameter to obtain an evaluation result. By measuring and calculating the key information items, the corresponding operation state parameter can be obtained. The operation state parameter is taken asinput of the preset operation model library, and corresponding output is acquired through the preset operation model library. And finally, the input of the operation state parameter is compared with the corresponding output to obtain the evaluation result of the metering system. Therefore, automatic evaluation of the metering system is realized, and the accuracy and credibility of evaluation and judgment of the metering device are improved.

The embodiment of the invention provides a risk prompting method and device, equipment and a computer storage medium, and relates to the technical field of artificial intelligence. The method comprises the steps of performing feature extraction on attribute information and financial data in feature information of a target object to obtain a fusion feature vector corresponding to the attribute information and the financial data; performing risk assessment on the fusion feature vector to obtain an assessment tag vector of the target object; according to the evaluation label vector, determining a target crime-related type of the target object and at least one suspicious feature corresponding to the target crime-related type; and sending at least one of the target crime-related type and the suspicious feature as risk prompt information to a client to realize risk prompt of the target object. According to the embodiment of the invention, the method can help the auditor to quickly and accurately locate the possible risk of the customer, greatly improves the trial efficiency and accuracy, and also reduces the requirements for the experience of the auditor.

The invention provides a depression automatic evaluation system and method based on phonetic features and machine learning. On the basis of speech processing, feature extracting and machine learning technologies, the system and method search for the relations between phonetic features and depression, and provide objective references for clinical diagnosis of depression. The system includes 1, a speech acquisition recording module for recording speech information of testees at different emotional and communication stimulation; 2, a speech feature calculating module for calculating acoustic features of the speech, 3, a speech database module containing relative data for speech feature efficiency analysis, classifier training optimization and a system classification rate; 4, a machine learning module for determining an extracting mode of effective features and training a classifier for automatic evaluation; 5; an automatic evaluation module. The system and method conduct depression degree classification on the effective speech features of the testees according to the extracting mode of the effective features and a classification mode of the trained classifier.

The invention discloses a survivability evaluation method and device, evaluation equipment and a storage medium. The method comprises the following steps: acquiring a key frame in observation data; carrying out image segmentation on each key frame through an image segmentation model to obtain a segmented image, the segmented image comprising fusion features of different feature scales; and evaluating the survivability of the observation target according to the fusion features of the segmented images through an evaluation model. According to the technical scheme, the image segmentation model and the evaluation model are used for evaluating the survivability of the observation target, the image segmentation model and the evaluation model have corresponding functions, automatic evaluation of the survivability can be achieved, and the survivability evaluation efficiency is improved. In addition, the survivability of the observation target is evaluated by segmenting the image and fusing features of different feature scales, so that the feature extraction capability and the evaluation reliability are improved.

The invention discloses a method, a device and a system for evaluating the biological bearing capacity of a marine ranch based on multimode coupling. The method comprises the following steps: establishing a marine ranch hydrodynamic-ecological coupling model to couple hydrodynamic and biogeochemical processes; establishing a marine ranch energy flow model, connecting a hydrodynamic force-ecological coupling model to a data input end of the model to output data, constructing a multimode coupling model, and coupling energy flow, hydrodynamic force and biogeochemical processes; and calculating the biological bearing capacity of the marine ranch based on the multimode coupling model, and automatically evaluating the biological bearing capacity. According to the method, the marine ranch energy flow, hydrodynamic force and biogeochemical processes are coupled, the accuracy of marine ranch biological bearing capacity assessment is improved, the marine ranch biological bearing capacity assessment module is arranged, the biological bearing capacity assessment process is simplified, and the effectiveness and practicability of the biological bearing capacity assessment method are improved. The invention further discloses a device and a system for evaluating the biological bearing capacity of the marine ranch, which have the above beneficial effects.

The invention discloses a system for automatically testing the service life of a probe. The system comprises a touching force sensor, the probe, a probe clamp, a probe electrode outgoing line, an up-down moving device, a four-wire type tester and a data processing system, wherein the data processing system is used for automatically saving tested data and analyzing the data in real time. The system is characterized in that the probe clamp is mounted on the moving end of the up-down moving device; the probe is mounted below the probe clamp; a circuit board for leading out the electrode of the probe is mounted above the probe clamp and is connected with the input end of the four-wire type tester by the probe electrode outgoing line; the touching force sensor is fixed under the probe and is connected with the data processing system by a wire; and the output end of the four-wire type tester is connected with the data processing system. The system for automatically testing the service life of the probe is simple in structure and precise in tested data, and can implement the automatic evaluation for the service life of the probe.