472results about How to "Objective evaluation" patented technology

The aural similarity measuring system and method provides a measure of the aural similarity between a target text (10) and one or more reference texts (11). Both the target text (10) and the reference texts (11) are converted into a string of phonemes (15) and then one or other of the phoneme strings are adjusted (16) so that both are equal in length. The phoneme strings are compared (12) and a score generated representative of the degree of similarity of the two phoneme strings. Finally, where there is a plurality of reference texts the similarity scores for each of the reference texts are ranked (13). With this aural similarity measuring system the analysis is automated thereby reducing risks of errors and omissions. Moreover, the system provides an objective measure of aural similarity enabling consistency of comparison in results and reproducibility of results.

The invention is related to a driver behavior diagnostic method. The method involves sampling event signal values associated with a vehicle and analyzing the event signal values. The sampling of the event signal values includes buffering the values over a limited buffer time. The analyzing of the event signal values includes reconstructing events based on the buffered event signal values. Further, the invention is related to a driver behavior diagnostic system including a sampling device for sampling event signal values associated with a vehicle and an analyzing device for analyzing the event signal values. The sampling device includes a buffer for buffering event signal values for a limited buffer time, and the analyzing device is adapted for reconstructing events based on the buffered event signal values.

The present invention is directed to systems and methods for evaluating the financial strength of a holding in comparison to other holdings of a portfolio. In one embodiment, a method of evaluating holdings of a portfolio consists of identifying the holdings that comprise the portfolio and identifying a set of Filters that that are to be used in evaluating the holdings, obtaining financial information for each of the holdings, identifying financial metrics that are to be used in evaluating the holdings and determining the values of the financial metrics for each of the holdings. The Filter values for each holding are then determined and each holding is then ranked for each Filter. Each holding is assigned a positional score for each Filter based upon its ranking for that Filter. An overall fundamental strength score is then generated for each Holding based upon all of the intra-Filter positional scores that it was assigned. In addition to an overall fundamental strength score, the methods and systems described herein can also generate other fundamentals strength scores based upon any combination of the Filters. In another embodiment, a holding is compared against a background portfolio to generate an overall fundamental strength score and additional fundamental strength scores based upon any combination of the Filters may also be generated.

The invention discloses a big data-based STEM education assessment system and method. The system mainly comprises an information collection and storage module, a teaching scheme generation module, a course implementation module, a student ability and accomplishment analysis module and an ability and accomplishment visualization module; the information collection and storage module mainly records basic information and behavior logs of a teacher and students; the teaching scheme generation module assists the teacher to develop teaching design; teaching activities are implemented in the course implementation module, and teacher and student behavior data is stored; the student ability and accomplishment analysis module analyzes core accomplishment, subject knowledge and key abilities of the students; and student assessment results are displayed in multiple ways of a radar map, a knowledge map and the like in the ability and accomplishment visualization module, and the student assessment results are stored in the information collection and storage module. The assessment system and method is applied to the STEM education assessment; the teacher and the students are assisted to accuratelyknow student ability and accomplishment development according to the assessment results; the teacher is assisted to accurately teach; and the student learning effect is improved.

The invention belongs to the technical field of uranium ore geological research, and particularly discloses a sandstone uranium ore comprehensive evaluation technology method. The method comprises thefollowing steps of 1, determining a uranium ore-forming favorable geological background and an ore-forming environment; 2, determining depositional subfacies or microfacies and spatial distribution of an ore-finding target layer; 3, identifying and locating a uranium ore-forming favorable sand body; 4, comprehensively extracting ore-forming favorable information; and 5, delineating an ore-formingfavorable region, and comprehensively evaluating ore-forming potential. According to the method, the steps are irreversibly carried out in sequence, and the uranium ore-forming potential of a regioncan be efficiently, quickly and objectively; uranium geological background and ore-forming environment analysis is a principal factor, wherein uranium source condition analysis is a top priority, andif the region does not have a uranium source condition, uranium ore does not exist no matter how good other conditions are; and by analyzing the ore-forming geological background and the ore-forming environment, favorable ore-forming geological conditions are determined.

The invention belongs to the technical field of building material and structure monitoring, and provides a concrete surface crack real-time monitoring system and a cracking risk dynamic assessment method. According to the cracking risk dynamic assessment method, images of the surfaces of concrete material test pieces are obtained by using CCD lens or digital cameras; processing analysis on acquired and stored digital images is performed via adopting of digital image matching method; digital image processing technique is used for identifying characteristic parameters such as position, area, length, and width of concrete cracks, and weighting classification is performed; quantified concrete cracking risk grading evaluate standards are obtained; and dynamic assessment on concrete cracking risk is realized via comparison with acquired concrete crack characteristic parameters. Existing concrete crack monitoring technique is high in cost and low in accuracy, and misjudgement on crack boundaries is caused when digital image method is used for concrete crack extraction. The concrete surface crack real-time monitoring system is capable of avoiding the disadvantages above, identifying the boundaries of the concrete surface cracks accurately, and evaluating concrete structure safety objectively and flexibly.

A software system and apparatus for the collection of various measurements of the human body representing deviations from an ideal posture in several planes of motion relative to the body. A specially designed apparatus enables the correct measurements, while the software component performs an analysis of the measurements and recommends an exercise routine based on the severity of the deviations with respect to the planes of motion. The routine can be adjusted based on the flexibility and motivation of the patient as well as on the type of symptoms being experienced by the person. Additionally, physiologic factors are taken into account, such as the person's age and weight. The exercise routine is provided via a computer display, via email or via a web page available on the Internet, utilizing textual descriptions and visual and audio aids to describe the exercises.

This invention belongs to internet information process field, which is characterized by the following: firstly it extracts user requirement information from index engine user visit log for sorting on this basis; then for different types of user requirement according to user visit log click information for automatic analysis to get relative click focus point; finally for evaluating index engine to catch index result and processing result evaluation according to user required click focus point to get index engine property data result.

The invention discloses a method for controlling the quality of ginkgo leaves and an extract thereof. After the screening of a great quantity of experiments, the method adopts ultra-high performance liquid chromatography for detection; and the method can be used for detecting three types of components including flavone, terpene lactones and phenolic acid, twenty-four active compounds in total, in the ginkgo leaves and the extract of the ginkgo leaves. The results of the experiments prove that the method is high in detection sensitivity and good in stability, and can be used for objectively, comprehensively and accurately evaluating the quality of ginkgo leaf medicines, the extract of the ginkgo leaves and ginkgo leaf preparations, thus having important significance on controlling the quality and guaranteeing the clinical treatment effect.

The embodiment of the invention provides a method and device for date evaluation according to speech content, belonging to the data processing technology field. The method comprises: obtaining speech content, and performing analysis processing of the speech content; performing emotion identification of the analyzed speech content, and generating an emotion identification result; and generating a corresponding data evaluation result according to the emotion identification result. According to the embodiment, it is realized that the service quality of customer services is evaluated from the perspective of the emotion so as to allow the actual service quality of customer services to obtain objective and real reflection.

The invention relates to a bionic examination robot for physical properties of food and an examination method thereof. The bionic examination robot comprises a control device and a bionic oral cavity, wherein the bionic oral cavity is composed of a palate and a chin, upper teeth of the palate is matched with lower teeth of the chin; the top part of the palate is fixed to the upper part of a frame, the bottom part of the chin is fixed to a movable platform, the movably platform is connected with a pedestal of the frame via a plurality of ball pairs-movable pairs-ball pair mechanisms; a plurality of sensors are arranged at different positions inside the oral cavity; and the control device controls the movement of the moveable pairs, and receives data from the sensors and stores and processes the data. The bionic examination robot can evaluate the physical properties of food scientifically, accurately and objectively, and the examination method can take the place of traditional food evaluation methods in which identification of a texture analyzer and sensuous identification are combined, thereby not only reducing examination cost and enhancing examination efficiency, but also enhancing examination accuracy, thus a scientific theoretical basis is provided for the processing and the development of food.

The invention relates to an equipment health state assessment and prediction method based on industrial big data. The method comprises the following steps of S1, extracting sample data capable of representing the whole degradation process of equipment from an equipment state monitoring system; S2, performing effective preprocessing on the sample data; S3, constructing a distributed support vectordata description model based on the Spark platform, and extracting a normal sample set; S4, measuring the deviation degree of the current sample through the Euclidean distance, further converting thedeviation degree into a health degree value, and drawing a health degree curve; S5, constructing an equipment health degree single-step prediction model based on the Spark platform; and S6, further expanding the single-step prediction method of the equipment into multi-step prediction. Compared with the prior art, the invention relates to the equipment health assessment and prediction method, objectively and accurately assesses the health state of the monitored equipment, predicts the future degradation trend of the equipment, and provides a theoretical basis for the fault management and maintenance work of the subsequent equipment.

The invention discloses a reliability-based maintenance evaluation method comprising steps of a fault mode and fault cause analysis, a fuzzy fault influence analysis, equipment maintenance level determination, and maintenance mode determination. According to the evaluation method and system, a proper equipment maintenance strategy can be formulated based on an equipment maintenance level, so that the maintenance cost can be lowered, secure and reliable operation of enterprise production can be guaranteed; and the requirement of modern enterprise equipment management can be met.

The invention relates to a medical testing kit for performing quantitative detection on human serum RBP4 using chemiluminescence magnetic-enzyme immunotherapy. The kit is composed of four reagent parts: specificity mouse anti-human RBP4 custodite immunomagnetic beads, enzyme labelling specificity mouse anti-human RBP4 antibody II, chemiluminescence substrate, corresponding titer and quality control liquid. The using method of the kit comprises: using bead particulates as solid phase carrier, combining specificity mouse anti-human RBP4 antibody I on the surface, forming RBP4 specificity immunocompetence beads, capturing antigen RBP4 to be detected in the enzyme labelling specificity mouse anti-human RBP4 antibody II, forming double antibody sandwich composite on the surface of the beads, wherein enzyme marked on the composite reacts with corresponding irradiance substrate in the reaction system to form stable luminous signals, thereby reaching quantitative detection and analysis on RBP4 through strength of the detection light signals. The invention has the advantages of high sensitivity, high specificity, simple and fast operation.

The invention discloses a comprehensive microgrid planning and design evaluation system based on an OTFN-AHP (optimized triangular fuzzy number analytic hierarchy process), and belongs to the technical field of electric information planning. An evaluation method comprises the steps that 1) a microgrid planning and design evaluation index system is determined; 2) computation models of microgrid evaluation indexes and reasonable and practical non-linear membership function models of the indexes are provided, so that quantized values of the indexes are obtained; 3) the traditional analytic hierarchy process and a fuzzy mathematic theory are combined and optimized to form the OTFN-AHP; 4) the fuzziness of an ordering vector is removed by utilizing a centroid method variable according to preference of a decision maker; 5) relative weights of the indexes are solved by nonlinear planning according to the ordering vector; and 6) an advantage and disadvantage degree of a microgrid is determined according to the quantized values and the weights of the indexes; and an evaluation report of the micogrid is output. The evaluation system can make scientific and objective evaluation on microgrid planning and design schemes in different structures, so that the evaluation system provides a reasonable reference for the decision maker, and has very high actual instruction significance.

The invention provides an electronic intelligent auxiliary writing training and analysis evaluation system, and belongs to the field of electronic auxiliary writing training. Aiming to solve the key problem of good character writing in the writing training, the technical feedback about the writing quality is given in time by using an intelligent electronic or computer auxiliary means to answer thequestions of 'how about the writing'or what's the difference', so that the psychological doubts are resolved and the lack of skills is pointed out. The character image or the information is acquiredby the aid of a sensing device. The device is characterized in that quantitative or visual comparison is conducted on the writing words acquired by the sensing device and the corresponding standard copybook words called out from the system, the consistency quantitative evaluation and / or visual comparison image can be given as the feedback to guide the writing training, so that the writing skills and levels can be improved. The interactive and gain cycling of the writing training process can be realized, the effect is remarkable, the cost is low, the on-purpose, guiding, and assisting properties are achieved. The system makes the user feel it like a good teacher and student, and the writing level is stably improved by means of the aiding.

The invention discloses a teacher classroom performance intelligent evaluation method based on deep learning, and the method comprises the steps: carrying out the facial expression recognition, voicerecognition and behavior recognition of a teaching video of a teacher to be evaluated; Integrating vector information obtained by facial expression recognition, speech recognition and behavior recognition of the to-be-evaluated teacher to obtain an emotion state vector and a teaching state vector of the to-be-evaluated teacher in the class; Training a deep learning network for evaluation based onthe data set marked and scored by the expert; And inputting the emotion state vector and the teaching state vector of the teacher to be evaluated in the classroom into the trained deep learning network to obtain an evaluation result of the classroom performance of the teacher. According to the method, the classroom performance of a teacher is simply and objectively evaluated by combining facial expressions and limb actions, voice information is introduced in the recognition process, the result accuracy is improved through combination of images and voices, the pressure of a supervision group isreduced, and the evaluation result is more real and objective.

The invention relates to a method for applying an analytic hierarchy process to a reviewer information database system, which comprises the following steps: (1) obtaining an information source; (2) selecting experts to be evaluated and setting a weighing; (3) applying the analytic hierarchy process to calculating expert comprehensive weights; and (4) updating the expert comprehensive weights dynamically. The method relates to a reviewer evaluation system with an expert information database, and evaluates the reviewing condition of a magazine reviewer by applying the analytic hierarchy process, thereby not only giving play to the subjective initiative for editing, but also reducing deviations caused by artificial subjective assumes so that the judging result is more scientific and closer to facts. The method is convenient to operate and is also applicable to an automated system for the current editing work.

The invention discloses a crosslinked polyethylene cable residual life assessment method which comprises the following steps: residual breakdown voltage of a cable is obtained; and aging rate of the cable is calculated according to the cable aging rate formula of Sd=(H*E-Sy) / N, wherein Sd is aging rate, Sy is residual breakdown voltage of the cable, H is major insulation design thickness of the cable, E is major insulation design anti-electric field intensity and N is operational number of years of the cable; and residual useful life is calculated according to the residual useful life formula of SK=(H*E-SZ) / Sd-N, wherein SK is residual useful life of the cable and SZ is end-of-life voltage of the cable. The step of obtaining the residual breakdown voltage of the cable further comprises the following steps: major insulation resistance between each cable conductor and a copper mask tape is measured; power frequency voltage is applied between each cable conductor and the copper mask tape; and a power-frequency step-by-step breakdown voltage test is carried out so as to obtain the cable main insulation based residual breakdown voltage.

The invention relates to an automatic correctional multi-mode value rainfall ensemble forecast method. The method comprises following steps of step 1, selecting various value atmosphere forecast modes; step 2, simulating forecast; outputting rainfall data every other T hours; step 3, evaluating rainfall forecast results; step 4, determining forecast weight coefficients of various modes; and step 5, releasing the forecast results of this time. According to the method, on the basis of existing multi-mode ensemble rainfall forecast, the rainfall forecast results of various value atmosphere modes can be evaluated more objectively; the final ensemble rainfall forecast results are unnecessarily and excessively dependent on manual decisions; and the released rainfall forecast results are more objective.

The invention relates to an automatic assessment system of the skill of a control tower administrator. The automatic assessment system of the skill of the control tower administrator comprises a control tower visual simulation terminal, a control tower administrator seat terminal, a pilot seat terminal, a system operation control terminal and a skill assessment system terminal, the terminals are respectively connected with a server through a switch. In the invention, a teacher loads a certain airport control scene by utilizing the system operation control terminal and a scene loaded by a control tower visual simulation system, an assessed control tower administrator controls and commands certain air traffic under the match of a simulating pilot, and a skill assessment system automatically assesses the skill of the control tower administrator by analyzing the control statistic data of the assessed control tower administrator; and the automatic assessment system disclosed by the invention replaces the former subjective assessment by utilizing the automatic assessment of a computer so that the skill assessment of the control tower administrator is quantified and automatic, thereby having epoch-making significance on administrator training and further enhancing the control safety level and increasing the administrator training efficiency.

The aural similarity measuring system and method provides a measure of the aural similarity between a target text (10) and one or more reference texts (11). Both the target text (10) and the reference texts (11) are converted into a string of phonemes (15) and then one or other of the phoneme strings are adjusted (16) so that both are equal in length. The phoneme strings are compared (12) and a score generated representative of the degree of similarity of the two phoneme strings. Finally, where there is a plurality of reference texts the similarity scores for each of the reference texts are ranked (13). With this aural similarity measuring system the analysis is automated thereby reducing risks of errors and omissions. Moreover, the system provides an objective measure of aural similarity enabling consistency of comparison in results and reproducibility of results.

The invention provides a method for quantitatively evaluating the symptoms of tremor of a patient with Parkinson's disease according to the approximate entropy and the cross approximate entropy, belonging to the fields of health care and pattern recognition. The method is characterized by comprising the following steps of: collecting the data of specified tremor of the thumb, collecting the data of specified tremor of the index finger, and grading the specified tremor of the thumb and the specified tremor of the index finger according to a UPDRS (unified Parkinson's disease rating scale); preprocessing the data of tremor; separating a sample training set from a sample testing sample; calculating the approximate entropy and the cross approximate entropy of the data of tremor; constructing the model of a classifier, and verifying the effectiveness of a method. The regularity and the synchronization of the tremor of the patient with Parkinson's disease are disclosed effectively according to the approximate entropy and the cross approximate entropy, and the symptoms of tremor can be accurately and quantitatively classified according to the tremor amplitude, the tremor frequency and other characteristics of the patient. The method is used for objectively evaluating the symptoms of tremor of the patient with Parkinson's disease, and can be applied to the fields of treatment and rehabilitation assessment of the patient with Parkinson's disease and the like.

The invention relates to a wind power plant comprehensive evaluation method, in particular to a wind power plant comprehensive evaluation method based on an analytic hierarchy process and a comprehensive distance evaluation method. The wind power plant comprehensive evaluation method includes the following steps that firstly, wind power plant running evaluation indexes are selected; secondly, an evaluation matrix is subjected to index same-direction treatment and nondimensionalization treatment to acquire a standard evaluation matrix; thirdly, an evaluation matrix and index weight vectors are determined based on the analytic hierarchy process; fourthly, the relative proximity corresponding to each wind power plant is worked out according to the comprehensive distance evaluation method, and comprehensive evaluation on wind power plant running conditions is carried out through sorting of the relative proximities. By means of the method, safety running conditions of the wind power plants are fully and objectively evaluated, and evaluation evidence is provided for electric power departments in comprehensive comparison of wind power plant running conditions.

The invention relates to an LCC theory-based method of comprehensive evaluation of a transmission network planning scheme. The method is characterized in that the method comprises the following steps that: step 1.1, according to power grid data published by an electric power company, calculation is respectively carried out on risk indexes Rs, efficiency indexes Es and LCC indexes Cs of N transmission network planning schemes by employing different computing methods; step 1.2, the risk indexes Rs, the efficiency indexes Es and the LCC indexes Cs of the N transmission network planning schemes are respectively substituted into a formula (1) to obtain N composite indicators RECs, wherein the formula is: REC= R + E + C (1) and the risk indexes Rs, the efficiency indexes Es and the LCC indexes Cs are obtained by the step 1.2; and step 1.3, comparison is carried out on the N composite indicators RECs that are obtained by the step 1.2; and a scheme that is corresponded to a composite indicator REC with a minimum numerical value is an optimum scheme and a scheme that is corresponded to a composite indicator REC with an infinite numerical value is an ineffective scheme. According to the invention, economy and technique rationality of a transmission network planning scheme as well as an influence on the environment can be evaluated comprehensively; and coordination optimization of the transmission network planning in the aspects of economy, technology and environmental protection can be realized.

The invention discloses a skilled talent evaluation method based on factor analysis and BP neural networks. The skilled talent evaluation method is characterized in that evaluation index data related to skilled talent evaluation can be acquired, and a total-amount data set can be established; the character-type variables of the total-amount data set can be converted into the numeric-type variables, and then the values of the numeric-type variables can be mapped in a range from 0 to 1 by adopting Sigmoid functions; an evaluation index or an evaluation index combination of the evaluation index can be determined to be participated in the talent evaluation modeling by adopting the above mentioned factor analysis method; the Sigmoid functions can be used as the input vectors of the BP neural networks after being processed, and the task of the BP neural networks is to realize the evaluation of the skilled talent after being trained; and the strategies of different category samples can be trained respectively by adopting a plurality of BP neural networks, and the L-M optimization algorithm can be used to replace the gradient descent method. The skilled talent evaluation method is advantageous in that the skilled talent evaluation costs can be saved, the human resource working efficiency can be improved, and the talent evaluation is more objective and accurate.

The invention discloses a shale gas reservoir staged comprehensive evaluating method. Shale gas well core analysis and test data and logging information are collected, the corresponding relation of the development characteristics and logging parameters of a shale gas reservoir in a target area is determined, and the shale gas reservoir is identified qualitatively; and a key parameter system for evaluating of the shale gas reservoir is selected and determined, shale gas reservoir staged comprehensive evaluating standards are built according to the characteristics and correlation of key parameters, and the quality of the shale gas reservoir in the target area is divided and evaluated quantitatively. The multiple key parameters of the shale gas reservoir are composited, the logging response characteristics of the single-well shale gas reservoir section are combined, thus staged comprehensive evaluating of the shale gas reservoir is formed, and the shale gas reservoir can be evaluated quantitatively in the two aspects of geology and geophysical logging.

The invention relates to an air traffic control real-time regulation effectiveness evaluation system, in particular to a real-time regulation effectiveness evaluation system for air traffic controllers. The system comprises a real-time operation data acquisition module, a real-time operation data processing module, a central database, a history operation data acquisition module and a real-time regulation effectiveness evaluation module, wherein the real-time operation data acquisition module is used for acquiring position information data, flight information data, flight plant data of an air traffic control automatic system, air-ground communication data and radar comprehensive flight path data; the real-time operation data processing module is used for filtering and processing acquired real-time operation data; after the processed real-time operation data is transmitted to an index assessment module, an obtained index is saved in the central database; the central database is used for storing and managing data; the history operation data acquisition module is used for acquiring history operation data; and the real-time regulation effectiveness evaluation module comprises a quantification evaluation module and a real-time regulation effectiveness comprehensive evaluation module. The air traffic control real-time regulation effectiveness evaluation system is applied to the field of civil aviation air traffic control.

A medical training apparatus that is capable of recording a training history based on a medical training scenario and storing an evaluation of training that corresponds to the training history is provided. The medical training apparatus includes a training-history-information storage unit, an evaluation input unit, an operation unit, and a training-evaluation-information storage unit. The training-history-information storage unit stores history information about a training session that has been performed under a preset medical training scenario. The evaluation input unit inputs an evaluation result for either the training session or the history information stored in the training-history-information storage unit, with respect to a predetermined evaluation item for each predetermined matter. The operation unit performs an arithmetic operation on the evaluation result that has been input with the evaluation input unit. The training-evaluation-information storage unit stores the result of operation unit and the evaluation result in association with the history information.