13 results about "Statistical software" patented technology

The invention belongs to the technical field of computer software, and particularly relates to an automatic statistical method and system based on software defect texts, comprising a preprocessing module used for importing information containing software defect text data into the system, preprocessing the software defect text data, removing useless symbols and redundant texts in the texts, and storing the useless symbols and redundant texts in the system; the preprocessing module is used for preprocessing a. Txt file and storing the preprocessed data into the. Txt file in a specified format, the extraction module is used for extracting keyword features from the preprocessed. Txt file, the keyword features comprise at least one of defect identification, defect type, defect level, repair suggestion, defect category, defect description, processing suggestion, reason analysis and rectification scheme, and the statistical analysis module is used for carrying out statistical analysis on the keyword features. And the statistical analysis module is used for performing statistical analysis on the extracted keyword features. According to the method, related information of software defects can be efficiently and accurately counted, manual participation in column-by-column counting is reduced, and the efficiency of defect detection and management and the accuracy and efficiency of a statistical result are improved.

The invention provides a health monitoring method. The method comprises the following steps: acquiring original occupational health monitoring data in an Excel format from multiple channels; analyzing the original occupational health monitoring data in the Excel format, and identifying a fixed column and a dynamic column in the original occupational health monitoring data; storing the fixed column into a main table database, and storing the dynamic column into a sub-table database; and in response to a user request, integrating data in the main table database and the sub-table database to generate a visual report. According to the method, the original occupational health monitoring data in the Excel format is obtained from multiple channels and analyzed, the fixed column and the dynamic column are stored in the main table database and the sub-table database respectively, finally, the data are integrated according to the user request to generate the visual report, and efficient processing and storage of the health monitoring data are achieved. According to the mode, the tedious process that an Excel table is manually input and special statistical software is imported for analysis traditionally is avoided, and the operation efficiency is greatly improved.

Embodiments of the present application disclose a digital certificate statistical method and device, electronic equipment and medium. Embodiments of the present application include data positioning identification on software to be counted, and downloading digital signature envelope data segments of the software to be counted; and analyzing digital certificate information corresponding to the software to be counted according to the digital signature envelope data segments. The present application can not only effectively improve the efficiency of data analysis and save bandwidth resources, but also efficiently count the usage of software code signature certificates on the Internet, and provide strong support and data basis for CA institutions to adjust certificate issuing and other strategies.

The embodiment of the invention relates to the technical field of software development, and discloses a construction management system, method and equipment of a multi-module software architecture and a medium. According to the embodiment of the invention, each module under the multi-module software architecture can be independently managed to meet the requirement of independently issuing each module; codes of all the modules can be stored through a remote warehouse, and version information, change records, review records, storage links and other related information of the modules are managed on a unified platform; the construction project of the whole code can be deployed on a server, and the server can obtain related information of each module from a unified platform according to development requirements and complete code pulling, compiling construction, change statistics and software release processes according to established rules. According to the construction management system provided by the embodiment of the invention, the construction efficiency of the multi-module architecture software can be improved, the traceability of the software is ensured, and the quality and reliability of the software are improved.

The invention discloses a method for analyzing influence factors of an intercropping and intercropping mode selected by a peasant household. The method comprises the following steps: step 1, selecting an investigation site according to an investigation purpose; 2, designing a semi-structured questionnaire of a farmer intercropping planting production mode based on a theoretical framework, performing field investigation and issuing the questionnaire for pre-investigation, and modifying the questionnaire according to a pre-investigation condition to realize localization of the questionnaire; 3, selecting a survey site and a farmer, issuing a survey questionnaire, and obtaining an initial data sample according to the content of the survey questionnaire filled by the farmer; step 4, performing data preprocessing on the recovered farmer intercropping planting production mode questionnaire; step 5, on the basis of multiple regression Tobit model analysis, constructing a farmer intercropping planting mode influence factor model; and step 6, importing the processed data into R language statistical software, and carrying out regression analysis on the processed sample data. According to the method, a basis can be provided for making a popularization policy of intercropping in a peasant household level.

The invention discloses a quality evaluation processing method and device based on service data, equipment and a medium. Acquiring a current task to be subjected to quality evaluation in real time, and acquiring current service description data through a data acquisition layer; in the evaluation calculation layer, according to the current service description structured data and the current service description unstructured data, through an evaluation index system construction method, an evaluation index and an evaluation index weight are generated; according to each secondary evaluation index and the secondary evaluation index weight, calculation is carried out through a multi-algorithm fusion calculation method to obtain a current evaluation index calculation score, and a current abnormal root cause positioning result is determined in combination with an abnormal root cause positioning method; and carrying out analysis and display processing through the analysis and display layer to obtain a current visual analysis and display result, and feeding back the result. The problems of low service management efficiency and low accuracy caused by a manual sampling evaluation method and a simple data statistics software scheme are solved, and the efficiency and the accuracy of quality evaluation of the service data are improved.

The application discloses a kind of fine particulate matter space-time distribution diagram construction method and device, including obtaining the background environment fine particulate matter concentration dataset and fine particulate matter concentration dataset corresponding to the preset research area;Based on the background environment fine particulate matter concentration dataset, concentration correction operation is carried out to fine particulate matter concentration dataset, to determine the background concentration correction dataset;Through social science statistical software, average fine particulate matter concentration value and each road corresponding vehicle data are subjected to pearson correlation detection operation, to generate correlation scatter diagram;In the background concentration correction dataset, the background concentration correction data corresponding to the road where all abnormal points in correlation scatter diagram are located is excluded, to generate traffic correction dataset;Through geographic information system software, a plurality of preset variation function models are used to carry out regional interpolation analysis on traffic correction dataset, to determine fine particulate matter space-time distribution diagram.The technical problem that the accuracy of the obtained PM 2.5 concentration spatial distribution is low is solved.

This invention discloses a method, device, electronic device, and storage medium for evaluating the comfort of clothing, relating to the field of thermal and humidity comfort evaluation technology. The method includes: simulating multi-regional home environments using an adjustable temperature and humidity artificial climate chamber, and periodically monitoring temperature and humidity using environmental monitoring equipment. Subjects of standard body type are selected, wearing temperature and humidity recorders and fitness trackers, performing standardized movements while wearing the clothing to be tested, collecting objective test data, designing a multi-dimensional subjective rating table, and periodically recording the subjects' subjective evaluation data. Data segments with comfort level scores between 2.5 and 3 points are selected using statistical software, and a box plot construction method is used to determine the specific temperature and humidity thresholds for the thermal and humidity comfort range based on the selected data, forming a quantitative evaluation standard. This invention achieves a systematic and standardized evaluation of clothing thermal and humidity comfort, effectively solving the problems of existing technologies being detached from reality and having a single evaluation dimension.

The invention discloses a method for identifying mutton by using a stable isotope method, and relates to the technical field of animal product origin traceability, and the method comprises the following steps: (1) carrying out ossein extraction on sheep bones; (2) determining stable isotope delta 13C and delta 15N values of ossein extracted from sheep bones; (3) performing significant difference multiple comparison-Duncan analysis on delta 13C and delta 15N values of ossein in sheep bones by using statistical software; (4) carrying out PLS-DA partial least square discriminant analysis on delta 13C and delta 15N values of ossein in sheep bones by using statistical software; through further optimization of ossein extraction, the extraction efficiency of ossein is improved, rapid source tracing of mutton is realized, and the problems that in the prior art, the extraction process of ossein is long in time consumption, and the rapid source tracing requirement is difficult to meet are solved.

The invention relates to an arch height prediction method and system based on parameter model multi-coordination. The arch height prediction method comprises the following steps: selecting and collecting related parameters of a patient conforming to a sample standard and an implantable phakic intraocular lens of the patient; performing correlation matrix and multiple linear regression analysis on the parameters in the step 1 by utilizing statistical software, and establishing a new model Ma; establishing a comparison model library, wherein the comparison model library comprises a common place and a formula or a model Mb for predicting the arch height; the model Ma and the model Mb are compared to predict an arch height value and an actual arch height value, variance analysis is adopted, an LSD method is used for pairwise comparison, a Bland-Altman method is used for consistency check, and therefore the effectiveness and the accuracy of the model Ma are verified; setting the verified model as Mn, and adding the Mn into the model library in the step 3; repeatedly executing the model for N times until a newest model Mnow is obtained; pre-operation related parameter values are applied to the model M, and a post-operation arch height value is obtained through prediction and analysis. According to the scheme, the comparison model library can be increased along with the increase of the number of the sample groups, so that cyclic comparison verification can be realized, the obtained arch height prediction model has a good prediction effect, and the result is relatively accurate.

The present invention discloses a method for quantitatively encoding SNP data based on allele variation frequency. The SNP data quantitative encoding method provided by the present invention quantitatively encodes the homozygous genotype of the main variant gene, the homozygous genotype of the secondary gene, and the heterozygous genotype of the secondary gene based on the frequency of the secondary variant gene of each variety or sample under the SNP site, so that the encoded SNP data has clear statistical and professional significance, is compatible with traditional statistical analysis methods, and is easier to perform SNP site evaluation and sample similarity analysis. Experiments have shown that the SNP data quantitative encoding method provided by the present invention can realize intuitive and convenient comparison and classification evaluation of similarity or dissimilarity between samples and sites, the professional significance of the data is clearer, the data analysis method is richer, it is not limited by statistical software in the field of biotechnology, and is applicable to a wider range of classical statistical methods and software, and the evaluation of samples and sites is more flexible, intuitive, and comprehensive.

Embodiments of the present application provide a data statistics method, device, equipment and medium, which are used to solve the technical problems of low statistics efficiency and high cost in the statistics of the workload of a software project in the prior art. The method comprises: obtaining a statistics instruction, the statistics instruction being used to instruct the statistics of the workload of a software project; in response to the statistics instruction, determining a first workload, a second workload and a third workload from at least one logical subsystem used for developing the software project, the first workload being the workload generated by developing a program of the software project, the second workload being the workload generated by testing the function of the software project, and the third workload being the workload generated by testing the performance of the software project; and determining the workload of the software project according to the first workload, the second workload and the third workload.

The invention relates to the field of takifugu sagittal stone morphology identification methods, and particularly discloses an analysis method for identifying three takifugu sagittal stone morphologies based on a Fourier analysis method.The method comprises the following steps that 1, otolith is placed under a microscope objective lens for image acquisition, and an otolith image is obtained; carrying out Fourier transformation on the image to obtain Fourier harmonic values of three kinds of takifugu sagittal stones; 2, performing principal component analysis on the Fourier harmonic values of the three kinds of takifugu sagittal otolith by using statistical software to obtain characteristic values, contribution rates and the like for describing otolith contours; and step 3, performing discriminant analysis on the three kinds of takifugu sagittal stones by using a step-by-step discriminant analysis method, extracting typical discriminant Fourier harmonics of the three kinds of takifugu sagittal stones through SPSS software to obtain a typical discriminant function, and substituting the typical discriminant function into the typical discriminant function to obtain a discriminant analysis result. According to the method, the elliptical Fourier analysis method is adopted for analysis, the difference among the three kinds of takifugu sagittal otolith is obtained, a research thought is provided for automatic classification of fish otolith in the future, and the method has important theoretical and scientific research significance.