KR20200026359A - Web service implementation method of db based on pls-da - Google Patents

Abstract

The present invention relates to a web service implementation method of a DB based on a partial least squares of discriminant analysis (PLS-DA) using a least square method. It is a method to provide detailed information of each data by using the detailed out function and mouse operation.It relates to the visualization method of the web service of the existing DB search function. Disclosing a configuration includes implementing the PLS-DA with the data, sub-classifying the PLS-DA-implemented data, and visualizing and providing the data.

Description

Web service implementation method of DB based on PLS-DA {WEB SERVICE IMPLEMENTATION METHOD OF DB BASED ON PLS-DA}

The present invention relates to a web service implementation method of a DB based on a partial least squares of discriminant analysis (PLS-DA) using a least square method. It is a method to provide detailed information of each data only by detailed step out and mouse operation, and it relates to a visualization method of a web service of a conventional DB search function.

Arranging the data obtained in various fields is a necessary task in order to be efficient in future work. However, in collecting and arranging data, the amount of data in modern times needs to be huge so that the data can be classified according to specific criteria and sorted according to desired criteria as needed.

In general, the web service visualization function is different from the existing DB search system. That is, the existing DB search system provides information only on specific data when the searcher searches for specific data, so that the search search information can overcome the disadvantage of not knowing the relative position or grade among all the data. Service Visualize all the data listed in the system at a glance so that the information of each data can be compared with the entire data, using only the mouse to identify the information of each data or clustered data group This is necessary.

Even when searching for information on agricultural products or food materials, you can spread all the data on one standardized frame (a sheet), that is, put all the data on one computer screen and see at a glance. Not only can the information of the data be compared with the entire data, but also can be clustered according to the characteristics of each data, so that various information such as the propensity, grade (quality), breed, strain, origin, origin, etc. of the specific data can be obtained. There is a need for technology that can be identified at a time.

Therefore, the present invention has been made to solve the above-mentioned problems, the object of the present invention is web service visualization and by enabling the searcher to see all the data at a glance, it is possible to compare the information of each data with the entire data It is to make it possible to grasp information of each data or clustered data group using only mouse.

Web service implementation method of the DB based on the PLS-DA according to an embodiment of the present invention for solving the above problems is the step of the basic cleaning and standardizing the collected data, PLS-DA with the standardized data Implementing, PLS-DA-implemented subclassifying the data, and visualizing and providing the data.

According to an embodiment of the present disclosure, the normalizing step may standardize a plurality of the data to have a value ranging from 0 to 1.

According to an embodiment of the present disclosure, the method may further include providing detailed information through zoom in-out.

According to an embodiment of the present disclosure, the providing of the detailed information may block the data to zoom in and out, and provide detailed information of the data within the blocked range.

According to an embodiment of the present disclosure, the subclassification grouping step may classify a plurality of the data into criteria including a propensity, a grade, a variety, a line, a place of origin, a source, and a size.

According to the present invention, the user can roughly grasp information such as the propensity, grade (quality), variety, strain, origin, origin, etc. of specific data, and can extract data mining, process modeling and graphics. It can be used for interactive graphic.

On the other hand, the effects of the present invention is not limited to the above-mentioned effects, various effects may be included within the scope apparent to those skilled in the art from the following description.

1 is a flowchart illustrating a web service implementation method of a DB based on PLS-DA according to an embodiment of the present invention.
2 is an example of data-based theorem according to an embodiment of the present invention.
3 is an example of standardizing all data in the range of 0 to 1 according to an embodiment of the present invention.
4 is an example of a result implemented by PLS-DA according to an embodiment of the present invention.
FIG. 5 is an example of a method for detailed search of a specific part or data by using a zoom in / out function of a material implemented by a PLS-DA according to an embodiment of the present invention.
6 is an example of resetting and grouping specific data for each class according to an embodiment of the present invention.
7 is an example of implementing detailed information of a single data or a specific data group or cluster according to an embodiment of the present invention.

Hereinafter, an 'unaligned grid volume rendering method and apparatus' according to the present invention will be described in detail with reference to the accompanying drawings. The described embodiments are provided to enable those skilled in the art to easily understand the technical spirit of the present invention, and the present invention is not limited thereto. In addition, matters represented in the accompanying drawings may be different from those actually implemented in the schematic drawings in order to easily explain the embodiments of the present invention.

On the other hand, each component expressed below is only an example for implementing the present invention. Thus, other implementations may be used in other implementations of the invention without departing from the spirit and scope of the invention.

In addition, each component may be implemented in purely hardware or software configurations, but may also be implemented in a combination of various hardware and software configurations that perform the same function. In addition, two or more components may be implemented together by one hardware or software.

In addition, the expression "comprising" certain components merely refers to the presence of the components as an 'open' expression, and should not be understood as excluding additional components.

1 is a flowchart illustrating a web service implementation method of a DB based on PLS-DA according to an embodiment of the present invention.

Referring to FIG. 1, the method of implementing a web service of a DB based on PLS-DA according to an embodiment of the present invention may include the step S110 of arranging and standardizing a plurality of collected data.

In operation S110, data may be received. The data may include information on agricultural products and food materials. The data may include information such as propensity, grade (quality), variety, strain, origin, source, and the like.

In step S110, the data may be normalized to have a numerical value. The data may be standardized to have a value between 0 and 1.

The basis theorem can organize the data into types and numerical values. According to an embodiment of the present disclosure, the basic theorem may sequentially organize the data by describing the type of the data on Excel and inputting a numerical value in the right column thereof.

A web service implementation method of a DB based on PLS-DA according to an embodiment of the present invention may include implementing PLS-DA with the standardized data (S120).

In step S120, the characteristics of the population may be estimated from the sample. In order to find the value closest to the most accurate value from many measurements, we can determine that the sum of the squares of the errors is the smallest. By actually minimizing the sum of squared deviations between observed values and theoretically assumed expected values, we can estimate the 'values in the population' (parameters). Here, minimizing the sum of squares of deviations can find a straight line in a situation where data is dispersed.

To characterize an object, one can observe and analyze it in one aspect (one dependent variable).

In step S120, multiple univariate analyzes may be performed simultaneously in consideration of the relations of the dependent variables. The data may be assumed to be multiviate normal distribution. Multiple dependent variables for independent variables can be analyzed simultaneously.

In step S120, according to an embodiment of the present invention, factor analysis to find similarity between variables, discriminant analysis to confirm suitability of a predetermined group of subjects, and independent variables Cluster analysis to classify subjects into groups according to the level of severity, multivariate variance analysis (MANOVA) for analysis of multiple dependent variables, structural equation model, which is a combination of factor analysis and regression analysis, Canonical correlation, which estimates the correlation coefficient between several groups of variables, can be performed.

In operation S120, the functional component map may be implemented using the data. The functional component map may display component fingerprints according to the data on a plane.

Web service implementation method of the DB based on the PLS-DA according to an embodiment of the present invention may include a step (S130) for the small classification grouping of the PLS-DA implemented data.

In step S130, the PLS-DA-implemented data may be sub-grouped according to specific criteria. The specific criteria may be plural. PLS-DA implemented data can be sub-grouped according to a plurality of specific criteria, respectively.

The specific criteria may include propensity, grade (quality), variety, strain, origin, source, and the like.

The PLS-DA-implemented data may indicate an ingredient fingerprint based on the propensity, grade (quality), variety, strain, origin, source, and the like. The PLS-DA-implemented screen according to the specific criterion may be displayed according to a user's selection.

Web service implementation method of the DB based on the PLS-DA according to an embodiment of the present invention may include the step of visualizing and providing the data (S140).

In operation S140, the data may be visualized and provided. The data may be displayed according to the respective numerical value on the plane. The visualization may be a point or a graph displayed on a plane. The visualization may be classified and displayed in the shape of a color or a figure according to the type of the data or the specific criterion. The visualization may be divided into a shape of a color or a figure according to the type of the data or the specific criterion, and then may display the type of the data or the shape of a color or a figure corresponding to the specific criterion.

In operation S140, the visualized data may be enlarged and reduced using a zoom in-out function on the displayed screen. The zoom in-out may be provided by selecting one of a plurality of information or a plurality of criteria. The zoom in-out may be provided by designating an area desired by a user.

In step S140, the specific data may be reset and grouped by class in the result implemented by the PLS-DA. Users can select specific areas or specific points in the result implemented by PLS-DA to reset and group by class. When the user selects a specific area by dragging or the like, the information included in the data included in the corresponding area may be displayed in a table.

2 is an example of data-based theorem according to an embodiment of the present invention.

Referring to FIG. 2, the data-based theorem according to an embodiment of the present invention may calculate a plurality of values according to the type of sample as a numerical value. Each sample is different. Each sample may comprise numerical values for a plurality of information. Each sample may each contain a code of a specified color.

Web service implementation method of the DB based on the PLS-DA according to an embodiment of the present invention can be based on the numerical value and color code according to the sample as shown in the example of FIG.

3 is an example of standardizing all data in the range of 0 to 1 according to an embodiment of the present invention.

Referring to FIG. 3, according to an embodiment of the present disclosure, a numerical value may be standardized to have a value of 0 to 1 in the basis-arranged data as in FIG. 2. The standardization can be calculated at a rate according to a reference value. The reference value may be included for each piece of information having a plurality of numerical values. Each information may be standardized according to each reference value and have a value of 0 to 1.

FIG. 4 is an example of a result of implementing the PLS-DA according to an embodiment of the present invention, and FIG. 5 illustrates a data using the zoom in / out function implemented in the PLS-DA according to an embodiment of the present invention. This is an example of how to refine a part or material.

4 and 5, implementation results of a plurality of samples may be displayed on one screen. The visualization may be a point or a graph displayed on a plane. The visualization may be classified and displayed in the shape of a color or a figure according to the type of the data or the specific criterion. The visualization may be divided into a shape of a color or a figure according to the type of the data or the specific criterion, and then may display the type of the data or the shape of a color or a figure corresponding to the specific criterion. The visualization may be displayed as an unstandardized value. The visualization can be expressed as a normalized value. The visualization shows the relative position or grade of each sample.

The user can select and receive only some results from the results implemented by PLS-DA. When the user selects a result from the result implemented by the PLS-DA, an area corresponding to the result may be zoomed in to provide an enlarged screen. When a user selects a result corresponding to a wider area from some results of the result implemented by the PLS-DA, a zoomed out and reduced screen may be provided.

FIG. 6 is an example of resetting and grouping specific data by class according to an embodiment of the present invention, and FIG. 7 is a single data or specific data group or cluster according to an embodiment of the present invention. One example of implementing the details of the.

Referring to FIGS. 6 and 7, specific data may be reset and grouped by class in the result implemented by PLS-DA. Users can select specific areas or specific points in the result implemented by PLS-DA to reset and group by class.

As shown in FIG. 7, when a user selects a specific area by dragging or the like, information included in data included in the corresponding area may be displayed in a table.

So far I looked at the center of the preferred embodiment for the present invention. Those skilled in the art will understand that the present invention can be implemented in a modified form without departing from the essential features of the present invention. Therefore, the disclosed embodiments should be considered in descriptive sense only and not for purposes of limitation. The scope of the present invention is shown in the appended claims rather than the foregoing description, and all differences within the scope will be construed as being included in the present invention.

Claims (5)

Based on the standardization and standardization of the collected data;
Implementing PLS-DA with the normalized data;
Subclassing the data implemented with PLS-DA; And
Visualizing and providing the data; Web service implementation method of a DB based on the PLS-DA including a.
The method of claim 1,
The normalization step,
A web service implementation method of DB based on PLS-DA, characterized in that the plurality of data is standardized to have a value in the range of 0 to 1.
The method of claim 1,
Providing detailed information through zoom in-out; Web service implementation method of a DB based on PLS-DA further comprising.
The method of claim 3,
Providing the detailed information,
A method of implementing a web service of a DB based on PLS-DA, in which the data is blocked and zoom in-out is possible, and detailed information of the data is provided within a blocked range.
The method of claim 1,
The subclassification grouping step is
A web service implementation method of a DB based on the PLS-DA, characterized in that the plurality of data are classified into criteria including a propensity, a grade, a variety, a line, an origin, a source, and a size.

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