73 results about "Standard score" patented technology

The invention provides a test system of a stimulus information cognition ability value, comprising a stimulus information providing device, a sight tracking device, a feedback data acquisition device, a cognition index value analysis device, a cognition accuracy degree analysis device and a cognition ability value computing device. The stimulus information providing device shows vision and audition stimulus information for a tester; the sight tracking device tracks and records the motion state of eyes of a tester in the process of acquiring and processing the vision stimulus information; the feedback data acquisition device is used for acquiring feedback data input by the tester responding to the stimulus information; the cognition index value analysis device acquires a cognition index value of the tester in the process of processing the vision stimulus information according to the record of the sight tracking device through a visual motion analysis method; the cognition accuracy degree analysis device computes the cognition accuracy degree of the tester according to the content of the feedback data; and the cognition ability value computing device computes obtained standard scores for representing the comprehensive cognition ability of the tester according to the cognition index value and the cognition accuracy degree through a statistic method. The test system can more accurately record the cognition process of the tester and the difference of the cognition ability among testers and can also be widely applied in the fields of talent selection, job placement, learning ability diagnosis, advertising effect, safety training of drivers, and the like.

An apparatus is disclosed for presenting heart rate variability, comprising a sensor for collecting electrocardiogram signals; an analog-to-digital converter for digitalizing electrocardiogram signals; an operating unit, converting said digitalized electrocardiogram signals to one or more heart rate variability parameters and further converting said heart-rate-variability parameters to one or more standard scores of heart rate variability by a standard mathematical formula; and an output unit, outputting the standard score of said heart-rate-variability by sound and / or light to aid determining the state of heart rate variability of a subject.

The present invention is directed to a method for improving the quality of life of a patient. The method involves assessing the patient's quality of life by evaluating parameters relating to the patient's health, and assigning a score in relation to the evaluated parameters. In one version, the patient's score is compared to a standard score, and a treatment program is assigned to the patient on the basis of the comparison. The evaluated parameters may be related to the patient's mental health and physical health, and a mental health score and a physical health score can be assigned. In another version, the mental health score is compared to the physical health score, and a treatment regimen is assigned on the basis of the comparison. The method allows for improvement in quality of life of the patient by providing for a substantially objective assessment of parameters relating to the patient's health.

The invention provides a method and a system for screening duplicated entity data. The method comprises the following steps that: 1, a server acquires entity data to be screened; 2, the server compares entity names between names of the entity data to be screened and names of a predetermined amount of entity data in a database one by one to acquire a score; 3, the server determines duplication of the entity data to be screened and the entity data in the compared database through a compared score and a preset standard score; and 4, the server adds the unduplicated entity data to be screened into the database. By the method, the duplicated entity data can be efficiently screened out.

A method and an apparatus for detecting yin-yang and asthenia-sthenia by means of the heart rate variability (HRV) analysis, which is originally difficult to be determined and utilized, are revealed, so as to help the clinical diagnoses of the Western and the Chinese physicians. The detecting method comprises the steps of (1) capturing an electrocardiogram signal from a person; (2) converting the electrocardiogram signal into a heart rate power spectral density; (3) computing a low frequency power and a high frequency power of the heart rate power spectral density; (4) calculating a yin parameter and a yang parameter based on the low frequency power and high frequency power; and (5) calculating the standard scores of the yin parameter and the yang parameter to be a yin index and a yang index respectively for determining the yin-yang and asthenia-sthenia for the person.

The invention provides a method for automatically judging dance rating. The method comprises the following steps: extracting each picture in teaching video and examination video respectively; A humanbody key point detection is carried out on each picture in the teaching video and the examination video to obtain a human body key point of the teacher and a human body key point of the examinee; Combine the dancing picture of the test taker in the t-th frame with the dancing picture in [t-T ', t + t'] frames, the rhythm and posture standard score of the examinee dance are obtained; Detect the keypoints of human face in every picture of the test video; The local facial expression scores of the candidates in each frame were obtained by using the expression analysis algorithm. The final facialexpression score is based on the candidate's local facial expression score in all the frames. The invention enables a user to compare a dance video with a standard video when performing a dance rating, identify the skeletal key point position and facial expression of a dancer in each frame of a picture, and obtain an expression score, a posture score and a rhythm score for judging the dancer.

The embodiments of the present application disclose a data processing method, an apparatus and a system for an auto insurance service. The method includes: acquiring a predetermined field of an auto insurance user, matching a human attribute variable of the auto insurance user and a value corresponding to the human attribute variable according to the predetermined field; and based on the human attribute variable and the corresponding value, generating an auto insurance standard score according to a preset calculation manner; and sending the auto insurance standard score to a first server. With the embodiments of the present application, by introducing the attribute information including the driver into the risk prediction of the auto insurance, the risk assessment of the auto insurance can be evaluated more accurately, comprehensively and uniformly with reference to the standardization.

The invention provides a music playing score matching method, a storage medium and a smart musical instrument. The method comprises: playing information in a preset time period is collected, wherein the playing information includes playing sequences and playing time of keys or strings during electronic music device playing by a user; the playing information in the preset time period is identifiedand a playing score in the preset time period is obtained, wherein the playing score includes sound levels corresponding to electronic music device playing, sound level time, and a sound level sequence; and the playing score is compared with a pre-stored standard score and the standard score having a matching degree with the playing score reaching a preset value is extracted. Therefore, problems that the environmental factor interference is high, the bit error rate is high, and the sample accuracy requirement is high according to the existing music information matching technology and problemsthat the user needs to carry out operation to realize semi-automatic page turning of the music score, the score needs to be replaced manually, and the user experience is poor according to the existingmusic score following device can be solved.

The embodiment of the invention discloses a generation method and device for training samples. The method comprises the steps of training a standard scoring model through utilization of a marked sample and generating an adjustment training model; inputting a to-be-marked sample into the adjustment training model and generating a model score corresponding to the to-be-marked sample; determining a marking sample score corresponding to the to-be-marked sample according to an association relationship between a sample score of the marked sample and the model score of the marked sample, and the model score corresponding to the to-be-marked sample; and marking the to-be-marked sample through utilization of the marking sample score and generating a newly marked sample. According to the technical scheme provided by the invention, the technical problem that a manual training sample marking mode is high in obtaining difficulty and long in marking time period and the accuracy cannot be ensured issolved, the manual training sample marking workload is reduced, and the training sample marking efficiency is improved.

The invention discloses a classification method used in brain-computer interfaces. The method comprises the steps of respectively calculating weight sum of each class of sample set characteristics according to the characteristics of a plurality of classes of sample sets in a training set, wherein the weight sum similarly obeys normal distribution, estimating a plurality of normal-distribution mean values and normal-distribution standard difference values, when classifying new samples, calculating weight sum of characteristics of the new samples, standardizing the calculated weight sum of the characteristics of the new samples according to the plurality of obtained normal-distribution mean values and normal-distribution standard difference values, obtaining a plurality of standardized values, sequencing absolute values of the plurality of standardized values, and enabling the sample set corresponding to the smallest value to serve as a class of the new samples. According to the classification method used in the brain-computer interfaces, the weight sum of the characteristics of the new samples is standardized through standard fraction, and then a classification boundary line is confirmed according to the standardized weight sum, and therefore the defect that according to a traditional linear discriminant analysis method, a classification identification rate is reduced under a condition that sample characteristics are different in distribution is overcome.

The invention discloses a power data preprocessing method based on mathematical statistics. The power data preprocessing method comprises an original data set input step, a data extraction step, a negative value and null value screening step, an abnormal large value screening step, a data preliminary pre-classification step and a tag adding step. The power data preprocessing method based on mathematical statistics combines quartile detection in mathematical statistics with a standard score detection method, can help the staff of a power grid to improve the efficiency of examining original abnormal data, and optimizes the data quality of an original data set.

The invention discloses a replacing operation method and device after model update and a business server. The method comprise that comprehensive properties of different updated models are compared; the updated model with the optimal comprehensive property is determined to be a candidate model; performance of the candidate model is compared with that of a present online operation model in a specific risk threshold, the performance of the candidate model or the present online operation model in the specific risk threshold is determined according to a standard score corresponding the a score output by a specific online event set as well as an auditing result for the specific online event set obtained according to the standard score and the specific risk threshold, and the specific risk threshold is determined according to a preset model strategy; if the comparison result shows that the performance of the candidate model is higher than that of the present online operation model, the candidate model is disposed as the online operation model.

The invention discloses a user behavior detection method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining user behavior data, carrying out the calculation of the user behavior data according to a preset score calculation mode, and obtaining a basic risk score of the user behavior data; comparing the basic risk score with a preset standard score, and if the basic risk score exceeds the preset standard score, determining a user behavior corresponding to the user behavior data as a risk behavior; and if the basic risk score is lower than a presetstandard score, performing data intersection operation on the user behavior data and a risk behavior template in a preset reference risk library, and determining whether a user behavior correspondingto the user behavior data belongs to a risk behavior or a normal behavior according to a numerical relationship between an operation result and a preset threshold. According to the technical scheme, the probability of missing report and false report in the user behavior detection process is reduced, and the accuracy of risk behavior recognition is improved.

The invention provides a commodity recommendation method and device, which relates to the technical field of communication, and can combine the online application preference with the offline storefront product selection so as to achieve the purpose of online guidance and offline. The method comprises the steps of obtaining a target user list of a target store and the user data corresponding to the target users in the target user list; constructing a multi-dimensional user tag matrix of the target user according to the user data, the dimension of the multi-dimensional user tag matrix being used for representing one kind of user data, the multi-dimensional user tag matrix comprising a plurality of blocks, the blocks being formed by dividing the user data of different dimensions; determining a standard score of a preference application for all target users in a pre-selected block, wherein the pre-selected block is obtained by screening from the plurality of blocks in the multi-dimensional user tag matrix according to a preset screening item; and according to a preset commodity mapping library and the standard score, providing the shelving recommendation of the commodity category for the target store.

The invention relates to an infrared multi-point positioning method. The infrared multi-point positioning method comprises the following steps of presetting a window distance threshold value t1, conducting traversal on each viewing angle in the horizontal direction, conducting statics on area information of each viewing angle, and assuming that the number of obtained areas is K1, K2,..., KN respectively; conducting traversal on each viewing angle in the perpendicular direction, conducting statics on area information of each viewing angle, and enabling the number of the obtained areas to be P1, P2,..., PM respectively; calculating a standard score of each point of a candidate point set; conducting statics on a real integral of each point in the candidate point set; judging the true points and the false points. The method has the advantages that the multi-viewing-angle concept is provided; two viewing angles with the most number in the covered area are used as the standard viewing angles, and the standard viewing angles are utilized for calculating candidate touch points; the concept that the minimum distance between the covered area and the points is a standard distance, and other distances are compared with the standard distance is provided; the concept that auxiliary viewing angles are utilized for conducting integration is provided; the four aspects are most important.

The invention relates to a method and a system for quantitatively analyzing a knowledge point. The system comprises a first knowledge point weight setting module, a second knowledge point weight setting module, a knowledge point standard score calculation module and a knowledge point estimating score calculation module, wherein the first knowledge point weight setting module is used for setting the weight of each knowledge point occupying the content of test questions; the second knowledge point weight setting module is used for setting the source weight of each knowledge point; the knowledge point standard score calculation module is used for calculating the standard score of each knowledge point; the knowledge point estimating score calculation module is used for calculating the knowledge point grasping condition of a student who is evaluated. The knowledge point standard score obtained by the student is calculated through the set knowledge point weight and by combining the answering result of the student, the knowledge point estimating score of the student is calculated, and an analyzing result which objectively reflects the knowledge point grasping condition of the student is obtained. Teaching quality of an education administration institution, a school and a teacher is improved under the assistance of the method and the system, and the student can better grasp the knowledge point.

The invention provides a similarity score mapping method, capable of generating a mapping relation table of a standard threshold value, an actual threshold value, a negative sample error rate / positive sample passing rate by comparing a plurality of pairs of preset number of face image samples. The invention also provides a face comparison method. When the face comparison method is used for face image comparison, the similarity score compared by the face recognition model is mapped into a standard score according to the mapping relation table, and then the standard score is compared with a preset similarity threshold value to obtain a final face comparison result. The invention also provides a similarity score mapping device, a face comparison method, a face comparison device, electronic equipment and a computer readable storage medium. According to the invention, after the face recognition model is replaced, it can be guaranteed that the positive sample passing rate / the negative sample error rate is not changed without modifying the similarity threshold value, and the complexity of face image comparison operation is reduced, and the user experience is improved.

The invention provides a method for evaluating the learning ability development trend of students, which comprises the steps of carrying out coding and transformation on existing score data of the students so as to acquire learning ability standard scores of the students in different grades, carrying out coding and transformation on reference scores so as to acquire reference score percentile ranks of a specific year, matching and comparing the learning ability standard scores with the reference score percentile ranks so as to acquire the learning ability development trend of the students, wherein the manifestation mode of the trend is predicted performance of the students. According to the invention, the development trend of the learning ability is evaluated through analyzing the existing scores, future performance within a period of time is predicted, thereby facilitating students, parents and teachers to play as a whole in a targeted mode, enhancing advantages of the students, complementing disadvantages of the students, improving the learning ability of the students within limited time, improving the overall performance, and particularly enabling the students to gain an advantage in the process of entering a higher school.

The invention provides an urban power grid emergency capability assessment method. The method comprises the steps of establishing an urban power grid emergency capability assessment index system, calculating the index weight and standard scores of various grades of urban power grid emergency capability assessment, calculating the total points of the urban power grid emergency capability assessment, and dividing grades. According to the urban power grid emergency capability assessment method, an urban power grid emergency capability assessment index system is established, so that the index weight and the standard scores of various grades of urban power grid emergency capability assessment are calculated, scientific and reasonable assessment standards and assessment methods are brough out, scores are calculated, and problems are solved, the method is an effective method for the urban power grid emergency capability assessment, and the basis for effectively verifying the urban power grid emergency capability is provided.

Embodiments of the invention provide a real-time credit score adjustment processing method and device and a processing server. The method comprises the following steps of: obtaining behavior information of a user; determining a behavior type corresponding to the behavior information; obtaining a current credit score of the user; determining a probability distribution of a credit adjustment score corresponding to the behavior type and the current credit score according to probability distributions of credit adjustment scores corresponding to currently recorded behavior types and standard scores, wherein the probability distributions comprise corresponding probabilities of adjusting the current credit score to the credit adjustment scores; and determining an adjusted credit score according to the corresponding probabilities of adjusting the current credit score to the credit adjustment scores in the probability distribution. According to the method, credit scores of users can be adjustedin real time, so that the credit score adjustment timeliness is enhanced and the correctness of subsequent credit score-based applications can be enhanced.

The invention provides a teaching quality increment evaluation system, which comprises: a rule configuration module for presetting a calculation rule and receiving configuration and storage of all or part of parameters of the calculation rule; a score management module for creating an examination, importing an original score of the examination and storing the original score in a database; an evaluation calculation module which is used for converting the original score into a standard score according to a standard score rule, performing three-rate score calculation, transverse score calculation and longitudinal score calculation on the converted standard score according to a calculation rule, and according to the calculated three-rate score, the transverse score and the longitudinal score, calculating the total assessment score of the class, the team teacher or the class advisor; and a result query module which provides a query entry for the calculation result of the evaluation calculation module. According to the system, various calculation rules for evaluation are built in, and configuration of relevant parameters of each calculation rule can be accepted, so that score accounting can be performed according to the calculation rules after original scores are obtained, and therefore, corresponding assessment scores can be obtained, and the teaching quality level can be evaluated conveniently, objectively and fairly.

The present disclosure is directed towards a device, method of using a device, and a method of making a device for predicting the nutritional status in an individual of any age or weight. The device includes one or more strips for measuring the circumference of a body part of an individual. The method includes taking the girth measurement and reading a standard score from the device to estimate the nutritional status of the individual.

The invention discloses a fitness action standard evaluating method and device. According to the invention, an action recognition time interval for each fitness action in a fitness template video is set, and the action recognition time interval of each fitness action is readjusted, so that the recognition end time of the previous action recognition time interval in two adjacent action recognitiontime intervals is not behind the recognition start time of the next action recognition time interval; the time score of the fitness action is calculated according to the action recognition time interval of each fitness action and the action end time of the fitness action; the time score can be used as the standard score alone to evaluate whether the fitness action is standard, and can be used as the standard score in combination with the strength score acquired through action recognition to evaluate whether the fitness action is standard; and therefore, the completion time of the fitness action can be accurately evaluated.

The invention belongs to the field of computer technology, and specifically relates to an insurance service analysis method and system based on a standard score. The method includes the following steps: preset information of a salesman is obtained to extract a plurality of classes of a plurality of original characteristic values, the standard score of each original characteristic value can be calculated according to a standard score model, each original characteristic value is transformed to a preset scoring area; the preset information includes basic information and behavior characteristic information of the salesman; weighing summation is performed on the standard scores corresponding to a plurality of original characteristic values vested in each class to obtain a class score; and weighing summation is performed on a class score of each class and a comprehensive scoring value of the salesman is obtained as a final result. Indexes of a plurality of dimensions can be incorporated to realize a comprehensive analysis evaluation method for performance and the like of the salesman, through comprehensive analysis on data of the basic information of the salesman and the salesman behavior, a more comprehensive, accurate and objective mode is provided for examination of the business personnel, and a single evaluation mode is avoided.

The invention relates to a method for calculating an operation health degree of an aircraft development project. The method is characterized by comprising the following steps of: I. firstly, establishing a model for calculating the operation health degree of the aircraft development project, wherein the model comprises a collecting module, a conversion module, a grading module and a displaying module; II, extracting five index data, such as staff, equipment, funds, progress and quality of a tool bag from the aircraft development project WBS (Work Breakdown Structure), wherein the tool bag is used for correspondingly checking whether the work experience time of a principal, the number of equipment, the amount of funds, the complete percent and the complete quality are qualified; III, sending the data extracted from the WBS tool bag to the conversion module to be converted into a corresponding standard score; IV, sending the converted standard score to the grading module to obtain a health degree value; and V, displaying the health degree value and the tool bag information of less than 60 scores in a project management system interface.

the invention discloses a piano performance scoring method, device and computer storage medium. The method comprises following steps: obtaining playing MIDI data, playing video data, playing the MIDIdata time signal, Play Video Data Time Signal, processing The four kinds of data and comparing the data with the standard note data converted from the standard score, and analyzing the data. Finally,judging the correctness of the notes and fingering of the examinee. Combining with the difficulty of the examinee, the piano performance of the examinee is scored. Apparatus for applying the method comprises: A playing unit for generating playing MIDI data, a shooting unit for shooting playing video data, a scoring client unit for receiving, storing, and transmitting playing MIDI data and playingvideo data, and a server unit for judging the correctness of a candidate's note and fingering and feeding back the scoring result.

The invention discloses a charging mode intelligent recommendation method based on similarity, and relates to the technical field of new energy automobile charging. The method comprises the followingsteps of a) acquiring the historical times of a client selecting from n charging modes in the past from a system database, and setting the historical times as a1, a2,..., an; b) obtaining the recommendation proportions of n charging modes in the system database, and setting the recommendation proportions as b1: b2:...: bn; c) generating the scoring matrixes of n charging modes according to the historical times; d) generating a standard score vector Y according to the recommendation proportion; e) calculating the Pearson coefficients of various charging modes according to a formula; and f) multiplying the Pearson coefficient of each charging mode by 100 to obtain a recommended score after the user selects each mode. According to the invention, the user experience can be obviously improved when the client selects the charging mode by using the charging application program, the client is assisted to select the correct charging mode, and the battery damage caused by the wrong selection ofthe charging modes is avoided.

The invention provides a business place index standard analysis method and system. The business place index standard analysis method comprises the following steps: carrying out n-level hierarchical structure division on a business place according to business rules, each level of hierarchical structure being formed by a plurality of items of indexes; obtaining score of each item of n-level index and obtaining standard score of each item of (n-1)-level index; when n is larger than 2, according to quantization value between two of the plurality of (n-1)-level indexes belonging to the same n-2 level hierarchical structure, calculating total weight of the (n-1)-level indexes; setting the index of the upper-level hierarchical structure to be m items, m=1; and carrying out cycle processing: according to the total weight and standard score of the (n-1)-level indexes belonging to the mth item of (n-2)-level indexes, obtaining standard score of the mth item of (n-2)-level indexes, the (n-2)-level hierarchical structure having b(n-2) items of (n-2)-level indexes; when the m is smaller than b(n-2), replacing the m in the cycle processing by m+1; and when m is equal to b(n-2), replacing the n in the cycle processing by n-1, and replacing the m by 1. The system and method ensure objectivity, accuracy and rationality of index evaluation.

The invention relates to a method and system for quantitative analysis of knowledge point. Wherein the system includes a first knowledge point weight setting module for setting a weight of each knowledge point occupying the content of the test question, A second knowledge point weight setting module for setting the source weight of each knowledge point, a knowledge point standard score calculationmodule for calculating the standard scores of each knowledge point, and a knowledge point evaluation score calculation module for calculating the knowledge point mastery situation of the evaluation students. By setting the weight of knowledge points and combining the students' problem-solving results, the standard scores of students' knowledge points are calculated, and then the scores of students' knowledge points evaluation are calculated, to obtain the analysis results objectively reflecting students' knowledge points, to assist educational management institutions, schools, teachers to improve the quality of teaching, so that students can better grasp the knowledge points.

The invention provides an abnormal communication number identification method and device, electronic equipment and a readable medium, and the method comprises the steps: carrying out the clustering processing of the feature index data of any suspected abnormal number outputted by a trained deep learning model through an improved clustering algorithm; determining the weight of each fine item index in the feature index data after clustering processing; determining a standard score of each fine item index in the characteristic index data; calculating an anomaly score of each fine item index according to the weight and the standard score; and determining the suspected abnormal number as an abnormal number according to the abnormal degree score. According to the embodiment of the invention, the accuracy and reliability of abnormal number identification are improved.