421results about How to "The evaluation result is accurate" patented technology

The invention discloses an index screening and processing method for evaluating quality of tobacco leaves. The method is characterized by comprising the following steps: determining 21 tobacco leaf quality indexes, screening the quality evaluation indexes by utilizing a main component analysis and relevant analysis way, grading the quality evaluation indexes by utilizing probability distribution, determining quality evaluation index weight by utilizing a layering analysis way, establishing a tobacco leaf quality judgment function by utilizing a K-average value clustering and multi-category gradual judgment analysis way, and detecting the accuracy of the judgment function. The tobacco leaf quality index which can accurately analyze and evaluate the tobacco leaf quality can be more systematically and comprehensively screened from the tobacco leaf quality indexes of multiple base units.

The invention discloses an urban traffic reliability index based on seepage analysis, and an implementation method for the urban traffic reliability index, and the method comprises the following steps: 1, carrying out the preprocessing of urban traffic data information; 2, building a traffic dynamic network based on the urban traffic data information, taking the traffic flow data of each segment in an actual urban traffic system as the basis, and carrying out the empowerment operation of a network; 3, analyzing the seepage attributes of the traffic dynamic network, finding the seepage threshold value of an urban traffic network, and obtaining the urban traffic reliability index based on the above; 4, determining a bottleneck road affecting the reliability of an urban traffic system. The method dynamically gives consideration to the operation efficiency of macroscopic traffic from the network layer of urban traffic, can solve an actual problem of the accurate and complete measurement of the congestion of a traffic network system, achieves the quantification and evaluation of the reliability of the urban traffic network system, and provides a powerful method support for the smooth project and the construction of a smart city.

A credibility evaluation method of software units of a complex software system includes the following steps: A building a credibility index system; B determining a credibility evaluation comment set; C acquiring an objective weight through factor analysis by aid of SPSS (Statistic Package for Social Science), acquiring a subjective weight with an analytic hierarchy process and determining the final factor weights with a dynamic assignment method; D conducting first-level fuzzy evaluation on credibility of the software units; E correcting the evaluation result through multiple fuzzy composition operators; F iterating the above calculation process to achieve multi-level fuzzy comprehensive evaluation on the credibility of the software units. The credibility evaluation method classifies evaluation indexes, so that an evaluation result is more reliable; acquired index weight values better accord with the practical condition of the software units, so an objective and subjective weight structure can be adjusted dynamically according to different software units; the evaluation result is corrected through the multiple fuzzy composition operators so that the evaluation result is more scientific, accurate and reasonable.

The invention provides a remote sensing satellite image quality evaluation method, which includes steps as follows: acquiring an original image; acquiring a set of degraded images with different qualities through the degradation treatment; analyzing the quality indexes of the degraded images; analyzing application effects of the degraded images; establishing a linear relation model from the quality indexes of the degraded images to the application effects of the degraded images; and evaluating the quality of the remote sensing satellite image based on the relation model. Targeted at the application effects of the remote sensing satellite image, the remote sensing satellite image quality evaluation method specifically evaluates the quality of the image through the combination of the subjective evaluation and the objective evaluation.

The invention discloses a method for evaluating the uniformity of an asphalt mixture. The method comprises the following steps: firstly, providing a cylindrical asphalt mixture test piece required by analysis through indoor molding or field sampling; secondly, acquiring a sectional image of the asphalt mixture test piece through an industrial computed tomography (CT) machine or a digital camera, wherein the asphalt mixture test piece is cut through a saw-tooth cutting machine when the digital camera is adopted; thirdly, converting the image into a black-and-white image in a bitmap (BMP) format, and analyzing the black-and-white image to obtain information of each aggregate and each hole in the sectional image of the asphalt mixture test piece, wherein the information comprises perimeter, area, equivalent diameter, coordinates of a long axis and a short axis, position coordinates of a center of mass and the like; and finally, respectively calculating the distribution states of aggregates and holes on the section of the mixture in terms of position distribution, quantity distribution and long axis azimuth distribution of the aggregates and the holes in the mixture so as to evaluate the uniformity of the mixture. On the basis of a digital image technology, the uniformity of the asphalt mixture is directly and quantitatively evaluated. Compared with other methods, the method has the advantage that an evaluation result is more accurate.

The invention provides a V2X network performance test and evaluation analysis method, and relates to the field of network performance test analysis of the Internet of Vehicles. The method comprises the following steps: establishing an LTE network performance test and DSRC network performance test platform; testing the network performance of LTE and DSRC in an Internet of Vehicles environment, determining network performance indexes, and calculating network performance index values; and determining the weights of the network performance indexes in combination with an entropy weight method and an analytic hierarchy process; calculating the effect scores of the network performance indexes, performing weighted calculation on the weights of the network performance indexes to obtain a comprehensive performance evaluation score, and obtaining a quantitative analysis result; obtaining a qualitative analysis result by using a fuzzy comprehensive analysis method in combination with a comprehensive weight; and obtaining a comprehensive analysis evaluation result in combination with the quantitative analysis result and the qualitative analysis result. According to the V2X network performance test and evaluation analysis method provided by the invention, by actually testing the network performance parameters in the Internet of Vehicles environment and comprehensively considering the influence of various performance indexes of the Internet of Vehicles on the network performance, the network performance of the Internet of Vehicles can be evaluated more accurately.

Provided is a pipeline health state assessment method based on a random forest model, belonging to the city water supply pipe network technical field. The method comprises: respectively extracting the pipeline basic information and historic damage case from the foundation database and the damaged database of a city water supply network; performing data pre-processing on obtained pipeline information; utilizing a random forest model to establish the relation between an independent variable and a dependent variable, and evaluating model classification effects; utilizing the random forest model passing classification effect evaluation to predict the damage probability of the water supply pipe network; grading prediction results, representing health levels by different colors, and drafting a health state thematic map; and evaluating pipeline damage influence factor importance, and analyzing influence rules. The pipeline health state assessment method can assess pipe network health states, obtain prediction results fundamentally according with real conditions, effectively evaluate pipeline states, and provide certain theoretical support for water supply enterprises to make a plane of determining pipeline maintenance and reconstruction priorities, and optimizing maintenance.

The invention discloses an electric energy quality analyzer based on Hilbert-Huang transform, which comprises an electric energy quality actual measurement data acquisition part and an electric energy quality analysis part. The electric energy quality actual measurement data acquisition part can be used for realizing the acquisition of electric energy quality data and is mainly used for conditioning signals and acquiring data; and the electric energy quality analysis part can be used for realizing the detection of transient disturbance characteristic of electric energy quality and the analysis of harmonics by using the Hilbert-Huang transform as a core algorithm. According to the electric energy quality analyzer disclosed by the invention, a method for automatically configuring a superposed high-frequency strong signal during mode mixing for improving the transient oscillation analysis as well as a self-adaptive design scheme of a filter during mode mixing for improving the harmonic analysis are established. The analyzer can be used for realizing the theoretical research on a power system together with a PSCAD / EMTDC ((Power System Computer Aided Design / Electro Magnetic TransientsIncluding DC) under a simulation analysis mode, realizing the quality detection for electric energy of a power grid together with an actual measurement data interface in an actual measurement analysis mode as well as analyzing the actual operation condition of the power system.

The invention discloses an image definition evaluating method and an image definition evaluating device. The image definition evaluating method comprises the steps of: acquiring an image to be evaluated; preprocessing the image to be evaluated; determining a vertical edge with a declined gray value of each row in the image to be evaluated according to gray values of pixel points of each row in the image to be evaluated; calculating a Value of each vertical edge according to the gray values of the pixel points contained in the vertical edge; setting a variable a with an initial value of 0, and adding 1 to the value of the variable a when the Value of each vertical edge is calculated each time; summating absolute values of Values of the vertical edges of all rows in the image to be evaluated to obtain a Value sum S1 of the image to be evaluated; calculating a mean value S of the Value sum of the image to be evaluated according to a ratio of the S1 to the variable a; and evaluating the definition of the image to be evaluated according to the mean value S. The image definition evaluating method and the image definition evaluating device perform image definition evaluation based on the edge Value of the image, and have the advantages of unimodality, unbiasedness and sensitivity.

The invention discloses a natural resource asset off-office auditing evaluation method. The method comprises the following steps of S1: collecting natural resource geographic information data requiredfor off-office auditing; S2: preprocessing the natural resource geographic information data in sequence; S3: extracting various to-be-audited natural resource data and controlled area data from the data; S4: performing superposition analysis, extracting conflict area map spots among different data, and performing check to finally determine violation problems; S5: according to map spot data involved by the determined violation problems, correcting special data of to-be-audited natural resources, and performing summarization analysis on the corrected data to obtain areas of the to-be-audited natural resources; and S6: based on a preset natural resource asset off-office auditing evaluation index system, calculating an evaluation result of a to-be-audited object. Deep application of a geographic information technology is realized; and related natural resource quantities, variables, quality and the like can be audited and evaluated.

The invention discloses a key node recognition method in a power communication network. The method comprises the following steps: step one, constructing a power communication network node importance evaluation system based on power communication network information; step two, constructing a normalized matrix based on the power communication network node importance evaluation system; step three, comprehensively determining index weight based on an entropy weight method and an analytic hierarchy process; step four, combining the weight vector with the normalized matrix to construct a weighted normalized matrix; and step five, computing based on the weighted normalized matrix to acquire the node importance order, recognizing a key node based on the order result, thereby realizing the technical effect of accurately recognizing the key node in the power communication network.

The embodiment of the invention provides a translation evaluation method. The method includes the steps that feature libraries and translation evaluation models corresponding to application scenarios are acquired; an original text and the translation to be analyzed are processed based on the acquired feature libraries so as to acquire corresponding feature vectors; the translation evaluation models are used for calculating the acquired feature vectors, so that the evaluation result of the translation to be analyzed is obtained. According to the method, the adaptive feature libraries and the translation evaluation models can be selected to be used for evaluating the translation to be analyzed according to different application scenarios, so that the evaluation result is more accurate, the manual labor is reduced, the language types of the original text and the translation are not limited, and the method is suitable for various application scenarios. In addition, the embodiment of the invention provides a translation evaluation device.

The invention relates to the technical field of geological disaster evaluation, in particular to a geological disaster susceptibility evaluation method and device, wherein the method comprises the following steps of selecting an evaluation factor of a study region, wherein each evaluation factor has various types; obtaining the weight among the evaluation factors; calculating different kinds of information quantity values of each kind of evaluation factor according to the existing disaster region factor obtained in advance; calculating the integral information quantity value of the study region according to different kinds of information quantity value of each kind of evaluation factor and the weight among the evaluation factors; determining the geological disaster susceptibility evaluation result of the study region according to the integral information quantity value. By using the method, the geological disaster susceptibility evaluation result errors are reduced.

The invention provides a method for detecting the quality of tobacco flavor. The method provided by the invention comprises the following steps of: classifying a tobacco flavor sample to be detected according to a sensory evaluation result to obtain three classes of flavor samples; carrying out main component analysis on the obtained chromatograph data of the tobacco flavor samples, combining the obtained main component analysis result with the sensory evaluation result, and dividing components contained in the tobacco flavor to five classes according to a variation condition of components in the tobacco flavor and relevance of the main component analysis result and the sensory evaluation result; analyzing the chromatograph analysis data of the tobacco flavor by using a clustering methodology according to the obtained classification result of the sample and the obtained classification result of the components of the tobacco flavor; and directly obtaining the quality variation condition of the tobacco flavor according to the obtained clustering analysis result. The method provided by the invention is simple to operate; and furthermore, the problems that a detection result in a manual smoke test process is influenced by a level, physical states, environmental factors and the like of a smoke tester can be solved.

The invention provides a quantitative evaluation method for fault lateral sealability, which belongs to the field of oil and gas exploration. The method considers the formation compaction correction,and can accurately evaluate lateral sealing evolution characteristics of the faults in various periods from the oil and gas accumulation period to the current period. The evaluation method comprisingthe following steps: for each time unit that from the oil and gas accumulation period to the current period, performing restoration on the formation of each time unit from the oil and gas accumulationperiod to the current period according to a decompaction correction; respectively calculating an ancient shale smear factor, an ancient clay smear potential, and an ancient shale gouge ratio corresponding to the single sand layer at different depths in each time unit; calculating a current shale smear factor, a current clay smear potential, and a current shale gouge ratio corresponding to the current period; when the shale smear factor, the clay smear potential, and the shale gouge ratio corresponding to the ancient and the current periods reach the threshold requirement, evaluating that thefaults are laterally sealed; and otherwise, evaluating that the faults have been laterally opened.

The invention discloses a method for constructing a cigarette cut tobacco quality evaluation model based on the analytic hierarchy process (AHP), and belongs to the technical field of cigarette technology evaluation. The method comprises the steps of firstly, determining cut tobacco quality evaluation indexes, constructing an evaluation index hierarchical structure model, and forming an evaluationindex system composed of a target layer, a criterion layer and an index layer; secondly, establishing a relative importance judgment matrix according to the relative importance of the evaluation indexes and the inter-layer structure relationship, and calculating the weight of each evaluation index by an AHP judgment matrix; thirdly, adopting different calculation methods for different types of index scores; and fourthly, constructing a cigarette cut tobacco quality evaluation model by using a statistical weighting method to make a comprehensive evaluation of the cut tobacco quality. Comparedwith the prior art, the method of the invention establishes a cigarette cut tobacco quality evaluation model based on the AHP, and can trace the causes of the cut tobacco quality and overcome the shortcomings that evaluation results are easily influenced by the experts' experience, level and subjective factors. The evaluation results are more scientific.

The invention provides a geological disaster multi-disaster comprehensive risk evaluation method based on a random forest. The geological disaster multi-disaster comprehensive risk evaluation method comprises the following steps: (1) constructing a geological disaster risk evaluation system; (2) performing sample selection and risk grading based on geological disaster detailed survey points; (3) performing random forest model construction and sample training; (4) carrying out model precision evaluation and index contribution degree calculation; and (5) obtaining a geological disaster risk evaluation result. According to the method, from the perspective of multiple disaster types, common influence factors of the multiple disaster types of geological disasters are selected, an index system is constructed from the dangerous and vulnerable dimensions, subjective weighting and subjective threshold delimitation are avoided, and the method has good adaptability to comprehensive geological disaster risk evaluation of the multiple disaster types. And the evaluation result can better reflect the actual disaster risk level of the region. According to the point-to-surface disaster risk evaluation and distribution method provided by the invention, main control factors of geological disaster risks can be effectively identified, and regional geological disaster risk grading and zoning are scientifically realized.

The invention develops an urban power grid program comprehensive assessment system based on a gray analytic hierarchy process. Firstly, the system utilizes Delphi expert consulting method to determine main factors which influence power network programming, and integrates basic ideas of the analytic hierarchy process to form a complete power grid program assessment index system comprising a plurality of hierarchies. Then an analytic hierarchy process is utilized to respectively calculate the weight of attributes of the end of the system. Secondly, a plurality of experts are selected to carry out marking on a power network program related to the weight of the attributes of the end of the system, and then the gray analytic hierarchy process is utilized to calculate the scores of the power network program given by the experts, and further weight coefficients of the selected experts are determined based on an entropy weight method. At last, comprehensive and integral scores of the power network program are obtained through utilizing a weighting method. The higher the comprehensive scores, the better the power network program is shown to be, that is to say, a programmed power network reaches a high level in terms of four aspects of adaptability, safety, economy, and environmental property.

The invention provides a visual attention detection method based on eyeball movement and a system thereof. The method comprises the steps that visual attention test content is displayed through firstdisplay equipment; acquiring a plurality of face images when a testee reads the plurality of E-shaped marks, identifying eye images corresponding to the face images according to the plurality of faceimages, and determining pupil position data of the eye images according to the plurality of eye images, based on the pupil position data, determining fixation point position information of the visualattention test content of the testee on the first display equipment, and determining the visual attention level of the visual attention testee according to the fixation point position information andthe visual attention test content. According to the technical scheme, the visual attention of the visual attention testee can be evaluated automatically, so that the evaluation is more objective, andthe defects of an existing clinical visual attention detection technology are overcome.

The invention discloses a machine-made particle-shaped evaluation method. The method comprises the following steps: (1) acquiring an image; (2) preprocessing the image; (3) extracting and calculating two-dimensional characteristic parameters of the image; (4) measuring apparent density and bulk density; and (5) extracting and calculating three-dimensional characteristic parameters of the image. The method has the characteristics of being convenient, quick, accurate and objective in evaluation result.

The invention discloses a deep-neural-network-based objective evaluation method for speech quality. The method comprises: step one, constructing and training a deep neural network by using data generated based on three kinds of speech features of a noisy speech as the input of the deep neural network and a PESQ score of an actual target speech as an output target of the deep neural network; and step two, inputting a q-frame speech feature vector, as input data, of a to-be-evaluated speech into the trained deep neural network and outputting a quality evaluation score of the to-be-evaluated speech. With the deep-neural-network-based objective evaluation method disclosed by the invention, the target speech quality can be evaluated objectively under the condition of only having a target speechsignal; and the objective evaluation of the target speech is associated with evaluation made by the actual PESQ algorithm highly. The deep-neural-network-based objective evaluation method is suitablefor the variable-speed speech; a phenomenon that the speech quality can not be evaluated objectively because of speech speed changing is avoided; and the evaluation result is accurate. The speech quality can be evaluated directly without a pure reference signal.

The invention discloses a video quality assessment method estimated on the basis of a macroblock domain distortion degree. The method comprises the following steps that (1), a video image is divided into a plurality of macroblocks; (2), a blocking effect distortion degree is calculated; (3), a blurring effect distortion degree is calculated; (4), a luminance contrast degree is calculated; (5), texture complexity is calculated; (6), an exercise intensity contrast degree is calculated; (7), exercise direction consistency is calculated; (8), visual perceptibility is calculated; and (9), a video quality assessment value is calculated. During the course of video quality assessment, a model of the video quality assessment method is simple; the objective quality of a video can be obtained only when the to-be-assessed video is provided; the method is very high in flexibility; in addition, relatively accurate assessment results of various video scenes can be obtained; and the method is preferable in universality.

The invention discloses a credit evaluation method based on an AHP (analytic hierarchy process). The credit evaluation method based on the AHP includes: confirming a credit evaluation grade set; confirming a multilevel evaluation index, and constructing an index evaluation system of a four hierarchy structure formed by an overall objective layer, a criterion layer, a discrimination layer and an index layer according to the confirmed evaluation index; confirming value ranges of the evaluation index of the index layer according to three modes of using an actual number, a percentage and a status value; using a matrix judgment method to calculate the weight of the evaluation index according to the importance degree of the evaluation index and structural relationships among the four layers, confirming the value of the evaluation index according to information which constitutes an index element, and then using a preset subordinating degree function to calculate the subordinating degree valued of the evaluation index according to the value of the evaluation index; using the AHP to evaluate the credit grade of an evaluated object. The credit evaluation method based on the AHP has the advantages of being objective, scientific and accurate, and can be widely used in the credit evaluation field.

The invention discloses a device for evaluating the automobile exhaust degradation effect of an OGFC mixture. The device comprises a closed container, an automobile engine, an automobile exhaust analyzer, a track board test piece, and air supplying devices, wherein the air supplying devices are arranged in the closed container. The invention further discloses an evaluation method which comprises the following steps in sequence: preparing the track board test piece, and generating automobile exhaust; simulating the degradation of automobile exhaust on a pavement and testing the concentration of each gas in the automobile exhaust; processing data. The track board test piece is prepared from the OGFC mixture which is added with a photocatalytic material; the evaluation index, used for evaluating the automobile exhaust degradation effect, of the OGFC mixture is taken as the degradation rate. The evaluation device can simulate the automobile exhaust degradation processes of the OGFC mixture in different illumination conditions by controlling the number of ultraviolet lamp tubes. The evaluation method is accurate and reliable, and coincides with the automobile exhaust degradation situation on a real pavement.

The invention discloses a video image fusion performance evaluation method based on three-dimensional Log-Gabor conversion. The video image fusion performance evaluation method mainly solves the problem that fusion algorithm performance cannot be evaluated accurately in the prior art under the condition that an input video has noise or background movement. The video image fusion performance evaluation method includes: utilizing the three-dimensional Log-Gabor conversion to perform multi-direction multi-scale decomposition on the input video and a fused video; utilizing three-dimensional phase consistency of a video image to build space-time phase consistency evaluation factors; utilizing three-dimensional Log-Gabor conversion coefficient amplitude to build space-time information extraction evaluation factors; combining the space-time phase consistency evaluation factors and the space-time information extraction evaluation factors to build global space-time performance evaluation factors; and evaluating the video fusion algorithm performance according to calculation results of the factors; and designing partial or global parameters according to a human eye vision standard time-critical success factor (ST-CSF) formula and three-dimensional gradient structure tensor. The video image fusion performance evaluation method based on the three-dimensional Log-Gabor conversion can accurately evaluate the fusion algorithm performance under the condition of noise or background movement and can be used for evaluating video image fusion algorithm performance.

The invention discloses a non-reference image quality evaluation method based on a convolutional self-coding network. The concrete steps of the invention are as follows: constructing a convolutional self-coding network; constructing a fully connected neural network; generating a pre-training set, a training set and a test set; training a convolutional self-coding network and fully connected neuralnetwork; and making row quality evaluation of distorted images in the test dataset. The convolutional self-encoding network is used to encode non-reference images and image blocks thereof respectively, global semantic features and local distortion features are extracted from the coding of non-reference images and their blocks by using the fully connected neural network, and the two features are fused, and the fused features are mapped to perceptual quality scores by using the fully connected neural network. The evaluation results are more consistent with the subjective feelings of people.

The invention discloses a driving distance of travel evaluation method and device. The driving distance of travel evaluation method comprises the steps of firstly generating indexes used for evaluating the driving distance of travel according to driving behavior data of a driver; secondly, calculating an evaluation result of any driving distance of travel under each index; and finally determining a final evaluation result of the driving distance of travel based on the evaluation results of any driving distance of travel under each index. According to the invention, indexes used for evaluating the driving distance of travel can be generated in advance, evaluation is performed on the driving distance of travel from the perspective of each index, and a final evaluation result of the driving distance of travel is acquired ultimately. Compared with the prior art, the driving distance of travel evaluation method and device realize automatic evaluation for the driving distance of travel, and the evaluation result is more accurate at the same time.

The invention provides a method for evaluating the running status of an intelligent electric energy meter, and belongs to the field of detection of intelligent devices. The method comprises: step 1, establishing indicators for evaluating the running status of the intelligent electric energy meter and running status classes; step 2, evaluating the influence degree of each indicator on the running status of the intelligent electric energy meter by M experts respectively; step 3, determining the weight of each intelligent electric energy meter running status indicator; step 4, re-judging the running status of the intelligent electric energy meter by using the weights obtained in step 3 to obtain evaluation results of the M experts; and step 5, fusing the evaluation results of the M experts toobtain a final intelligent electric energy meter running status result. The method realizes more accurate evaluation and judgment on the running status of the intelligent electric energy meter.

The invention provides an urban traffic health index system and an evaluation method, and the method comprises the following steps of 1, determining a seepage critical point through the analysis of the change relation between an urban traffic congestion rate and a traffic macroscopic operation level, and determining an early warning index according to the seepage critical point; 2, determining urban traffic jam propagation indexes; 3, drawing a change curve of the urban traffic system macroscopic operation level, the urban congestion time-space subgraph size and the operation level of each road along with time, and determining the elastic indexes of the urban traffic system at different scales according to the change curve. Through the above steps, a set of complete urban traffic system health assessment index system is established, the proposed method can provide the theoretical and technical guidance for the comprehensive and comprehensive management and regulation of the urban traffic system, and also has the enlightenment and guidance effects on the alleviation of urban traffic congestion phenomena, construction of an intelligent traffic system and the like.

The invention relates to nature caterpillar fungus quality assessment method. It includes the following steps: using organic solvent or water with over 60 degree centigrade to extract sample; processing HPLC analysis for the extracted liquid to gain random three component content and proportion of the uridine, inosine, guanosine, adenosine, and cordycepin as detected result A; using water with under 60 degree centigrade to extract sample; processing HPLC analysis for the extracted liquid to gain their content and proportion as the detected result B; comparing detected result A and B with characterization index; if both of the A and B are in the range of the characterization index, the sample has the same quality characteristics with the caterpillar fungus. The invention objectively confirms the detecting method and index for the nature caterpillar fungus characteristics.