A form filling guidance and document information verification method, system, device and medium

Abstract

The application provides a filling instruction and document information verification method, system, device and medium. The method comprises the following steps: in response to receiving document filling data, a document filling data model identifies the document filling data to determine the filling intention; the context information of the document filling data is determined according to the historical data in the document filling data model, and filling suggestions are generated based on the filling intention and the context information and returned; in response to the completion of filling, the completed document information is compared with the historical data, a verification result is obtained and returned. The application automatically identifies the filling intention of the user, accurately judges the fields that need to be filled, and provides filling suggestions according to the historical data and the context information to guide the user to fill in correct and complete information; the document information filled is verified, compared and analyzed with the historical data to detect potential errors or abnormalities. The user can obtain the verification result in time and make corrections to ensure the accuracy of the filled information.

Description

Technical Field

[0001] This invention relates to the field of data processing, and more particularly to a method, system, device, and medium for providing form filling guidance and document information verification. Background Technology

[0002] A document is a written proof obtained or prepared when an economic transaction occurs, which states the actual circumstances of the transaction or event. It serves as the original data and important basis for accounting.

[0003] In existing form-filling processes, users often face a large number of complex documents and tedious information entry tasks. Due to limitations in their knowledge and experience, errors and omissions are common problems. Furthermore, users may lack sufficient guidance and verification mechanisms during the filling process, leading to a lack of accuracy and completeness in the results. To address these issues, some existing technologies attempt to provide intelligent guidance and information verification support. However, existing guidance and verification methods often rely on predefined rules or static templates, failing to meet the complexity and variability of real-world filling scenarios. Summary of the Invention

[0004] In view of this, the present invention proposes a form filling guide and a method, system, device and medium for verifying form information, which improves the efficiency and accuracy of users filling out forms using the system and helps users fill out forms quickly; it also verifies the information of forms that have been filled out but not submitted, thereby improving the accuracy of the form information and reducing the impact of possible errors.

[0005] To achieve the above objectives, one aspect of the present invention provides a form filling guide and a document information verification method, specifically including the following steps:

[0006] Upon receiving form entry data, the form entry data model identifies the form entry data to determine the form entry intent;

[0007] The context information of the form filling data is determined based on historical data in the form filling data model, and filling suggestions are generated and returned based on the filling intention and context information;

[0008] Upon completion of the form, the completed document information is compared with historical data to obtain the verification result and return it.

[0009] In some embodiments, the method further includes:

[0010] Obtain the data source, preprocess the data source, and divide it into training set and test set;

[0011] The preprocessed data source is constructed into a bag-of-words model, the TF-IDF weights of the bag-of-words model are calculated, and the corresponding TF-IDF weights are used as the key features of the training set and the test set, respectively.

[0012] Construct a random forest model and train it using the key features of the training set to obtain the trained model;

[0013] The training model is tested and optimized using key features of the test set to obtain the form-filling data model.

[0014] In some embodiments, the step of testing and optimizing the trained model using key features of a test set to obtain the form-filling data model includes:

[0015] In response to obtaining the trained model, the key features of the test set are used to test the trained model, the test results are obtained, and the evaluation index is calculated based on the test results.

[0016] The data model for filling out forms is obtained by optimizing the training model based on the evaluation indicators.

[0017] In some embodiments, the step of the form filling data model recognizing the form filling data to determine the form filling intention in response to receiving form filling data includes: obtaining the form to be filled and initializing the fields of the form to be filled; the form filling data model recognizing the form filling data and analyzing the form filling intention, wherein the form filling intention includes the fields that need to be filled;

[0018] The steps of determining the context information of form filling data based on historical data in the form filling data model and generating and returning filling suggestions based on the form filling intention and context information include: the form filling data model infers the data required to fill the form based on the form filling intention and historical data; the inferred data is compared with the form filling data to generate guidance for the filling fields, and filling suggestions are provided based on the guided filling fields and the context information.

[0019] In some embodiments, the step of comparing the completed document information with historical data in response to completion, obtaining a verification result, and returning it includes:

[0020] Retrieve information from the completed form;

[0021] Detect anomalies in document information using a data model for filling out forms;

[0022] Generate verification results and correction suggestions for abnormal situations.

[0023] In some embodiments, the steps of the form filling data model to identify form filling data and analyze the form filling intention include:

[0024] The form filling data model identifies the form filling data and analyzes the form filling intention based on the form filling data and historical data.

[0025] In some embodiments, the steps for generating verification results and correction suggestions for abnormal situations include:

[0026] In case of abnormal situations, verification results and correction suggestions are provided based on the context information of the data entered in the document.

[0027] In some embodiments, the method further includes:

[0028] User authentication is performed to differentiate the permissions and access control of different users, and form filling guidance and verification are provided for different users.

[0029] This invention proposes a form filling guide and document information verification system, comprising:

[0030] The identification unit is configured to, in response to receiving form entry data, identify the form entry data to determine the form entry intention;

[0031] The form filling unit is configured to determine the context information of the form filling data based on historical data in the form filling data model, and generate and return filling suggestions based on the form filling intention and context information.

[0032] The verification unit is configured to compare the completed document information with historical data in response to the completion of the form, obtain the verification result, and return it.

[0033] This invention proposes a computer device, comprising:

[0034] At least one processor; and a memory storing a computer program executable on the processor, wherein the processor executes the steps of the form filling guide and document information verification method when executing the program.

[0035] The present invention proposes a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the form filling guide and document information verification method.

[0036] The present invention has at least the following beneficial technical effects:

[0037] This invention proposes a form filling guidance and document information verification method, system, device, and medium. The method includes: in response to receiving form filling data, a form filling data model identifies the form filling data to determine the filling intention; based on historical data in the form filling data model, it determines the context information of the form filling data and generates and returns filling suggestions based on the filling intention and context information; in response to completion of filling, it compares the completed document information with historical data to obtain a verification result and returns it. This invention automatically identifies the user's form filling intention, accurately determines the fields that need to be filled, and provides filling suggestions based on historical data and context information, guiding the user to fill in correct and complete information; it verifies the completed document information, compares and analyzes it with historical data, and detects potential errors or anomalies. Users can obtain the verification results in a timely manner and make corrections to ensure the accuracy of the filled information. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings without creative effort.

[0039] Figure 1 This invention provides a flowchart of a form filling guide and a document information verification method.

[0040] Figure 2 This invention provides a module diagram of a form filling guide and document information verification system.

[0041] Figure 3 A schematic diagram of the structure of an embodiment of the computer device provided by the present invention;

[0042] Figure 4 This is a schematic diagram of an embodiment of the computer-readable storage medium provided by the present invention. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to specific examples and the accompanying drawings.

[0044] It should be noted that all uses of "first" and "second" in the embodiments of the present invention are for the purpose of distinguishing two entities or parameters with the same name but different names. It is clear that "first" and "second" are only for the convenience of expression and should not be construed as limiting the embodiments of the present invention. Subsequent embodiments will not explain this in detail.

[0045] This invention proposes a form-filling guide and a document information verification method. Please refer to [link / reference]. Figure 1 ,include:

[0046] S1: In response to receiving form entry data, the form entry data model identifies the form entry data to determine the form entry intention;

[0047] S2: Determine the context information of the form filling data based on the historical data in the form filling data model, and generate filling suggestions based on the form filling intention and context information and return them;

[0048] S3: In response to completion, compare the completed document information with historical data, obtain the verification result, and return it.

[0049] This invention assists users in filling out various forms and ensures the accuracy of the information entered. The method analyzes a large number of data sources, extracts useful patterns and rules, and applies them to form-filling guidance and information verification scenarios. Based on data mining technology, it establishes a data model by mining and analyzing historical form-filling data, thereby inferring the information required for the target form filled out by the user. The system can automatically identify the user's intention to fill out the form, accurately determine the fields that need to be filled in, and provide filling suggestions based on historical data and contextual information, guiding the user to fill in correct and complete information. Simultaneously, it also has a form information verification function. Data mining technology can be used to verify the information on completed forms, compare and analyze it with historical data, and detect potential errors or anomalies. Users can obtain the verification results in a timely manner and make corrections to ensure the accuracy of the entered information.

[0050] This invention aims to improve the efficiency, accuracy, and user experience of existing form-filling processes through data mining technology. On one hand, data mining extracts and utilizes a large amount of existing form data from customer systems to build models that predict the likely actions users will take when creating similar forms later, thereby improving the efficiency and accuracy of form filling and helping users complete forms quickly. On the other hand, it can also verify information on completed but not yet submitted forms, improving the accuracy of information entry and reducing the impact of potential errors. This invention, using data mining technology for form-filling guidance and information verification, can significantly improve the accuracy and efficiency of form filling, and is applicable to various form-filling scenarios, including but not limited to business applications and financial statements, demonstrating high application value and commercial potential.

[0051] In some embodiments, please refer to Figure 1 The method further includes a step of training the form data model, specifically including:

[0052] Obtain the data source, preprocess the data source, and divide it into training set and test set;

[0053] The preprocessed data source is constructed into a bag-of-words model, the TF-IDF weights of the bag-of-words model are calculated, and the corresponding TF-IDF weights are used as the key features of the training set and the test set, respectively.

[0054] Construct a random forest model and train it using the key features of the training set to obtain the trained model;

[0055] The training model is tested and optimized using key features of the test set to obtain the form-filling data model.

[0056] In one embodiment, the specific data mining and analysis process is as follows:

[0057] Find accurate and effective reference data, select and obtain various data sources, such as databases, text documents, log files, etc., to meet the needs of form filling guidance and information verification.

[0058] Based on the large amount of existing document data in the system, data preprocessing is performed. First, the data is preprocessed through data cleaning, missing value handling, outlier detection, text cleaning, word segmentation, and stop word removal. Next, the filled information is converted into feature vector representations, with each sample as a row, each filled field as a feature column, and the corresponding filled content as a feature value. Finally, the data is split as needed, dividing the dataset into training and test sets.

[0059] Feature extraction involves extracting key features from data to capture patterns and regularities. Various techniques and algorithms, such as text analysis, image processing, and time series analysis, can be used to obtain meaningful data representations. The TF-IDF (Term Frequency-Inverse Document Frequency) algorithm is used to extract key features from documents. This involves: constructing a bag-of-words model: converting preprocessed text data into a bag-of-words model, representing each text as a vector where each dimension represents a word and records its frequency in the text; calculating TF-IDF weights: calculating the TF-IDF weights for the bag-of-words vector of each text. TF (Term Frequency) refers to the number of times a word appears in the text, and IDF (Inverse Document Frequency) refers to the reciprocal of the frequency of that word in the entire document set or corpus. The TF-IDF weight equals TF multiplied by IDF; feature vectorization: using the TF-IDF weight vector of each text as its key feature representation.

[0060] Build a model based on the random forest algorithm by importing a random forest model library, such as RandomForestClassifier from scikit-learn; create a random forest classifier object and set the model hyperparameters, including the number of decision trees (n_estimators), maximum depth (max_depth), minimum number of leaf nodes (min_samples_leaf), and random seed; train the random forest model using the feature vectors of the training set and the corresponding labels (i.e., whether the data is correct or not), and call the model's fit() method.

[0061] In some embodiments, please refer to Figure 1 The steps for testing and optimizing the trained model using key features of the test set to obtain the form-filling data model include:

[0062] In response to obtaining the trained model, the key features of the test set are used to test the trained model, the test results are obtained, and the evaluation index is calculated based on the test results.

[0063] The data model for filling out forms is obtained by optimizing the training model based on the evaluation indicators.

[0064] Train and evaluate the data mining model. Use the feature vectors of the test set to make predictions by calling the model's predict() method. Compare the prediction results with the true labels of the test set and calculate metrics such as accuracy, precision, recall, and F1 score to evaluate the model's performance.

[0065] Model evaluation and updating can assess the performance of the established data model and update and improve the model based on feedback, thereby improving the accuracy and generalization ability of data mining results.

[0066] In some embodiments, please refer to Figure 1 The step of responding to receiving form completion data and identifying the form completion data to determine the form completion intention includes:

[0067] Get the form to be filled and initialize the fields of the form;

[0068] The form-filling data model identifies the form-filling data and analyzes the form-filling intent, which includes the fields that need to be filled in.

[0069] In some further embodiments, the steps of determining the contextual information of form completion data based on historical data in the form completion data model and generating and returning completion suggestions based on the form completion intention and contextual information include:

[0070] The form-filling data model infers the data required to fill out the form based on the stated form-filling intention and historical data;

[0071] The predicted data is compared with the data entered on the form to generate guidance for the fields to be filled in, and suggestions for filling in the fields are provided based on the guided fields and the context information.

[0072] When inferring user intent for filling out forms, the system uses data mining and historical form data to infer the information required for the form. Based on the data model, historical data, and contextual information, it provides corresponding filling suggestions to the user. It automatically identifies the fields required for the target form that the user is filling out. Based on the field identification results, it provides step-by-step guidance and prompts for the user to fill out the fields.

[0073] In some embodiments, please refer to Figure 1 The steps for responding to completion of the form, comparing the completed document information with historical data, obtaining a verification result, and returning it include:

[0074] Retrieve information from the completed form;

[0075] Detect anomalies in document information using a data model for filling out forms;

[0076] Generate verification results and correction suggestions for abnormal situations.

[0077] The process of verifying document information is as follows: Obtain the completed form information; use the trained data mining model to verify and compare the filled information; use the patterns and rules provided by the data mining module to verify and compare the completed document information to detect potential errors or anomalies in the filled information; provide verification results and correction suggestions; and promptly feed back the verification results and correction suggestions to the user.

[0078] In some embodiments, please refer to Figure 1 The steps of the form filling data model to identify form filling data and analyze form filling intention include: the form filling data model identifies the form filling data, and analyzes the form filling intention based on the form filling data and the historical data.

[0079] The steps for generating verification results and correction suggestions for abnormal situations include: providing verification results and correction suggestions based on the context information of the data filled in on the document for abnormal situations.

[0080] Historical form data can be used as contextual information to understand the user's intent and preferred fields. By analyzing and comparing historical data, the system can provide more accurate filling suggestions and guidance.

[0081] Based on contextual information during the form-filling process, such as field dependencies in the table and content entered in the previous step, the system provides more accurate filling suggestions and validation results. The system comprehensively considers relevant contextual information to support users in entering correct and complete information.

[0082] In some embodiments, please refer to Figure 1 The methods also include:

[0083] User authentication is performed to differentiate the permissions and access control of different users, and form filling guidance and verification are provided for different users.

[0084] Users can be required to authenticate their identity to ensure the security and legality of completed forms. Through user authentication, the system can differentiate between different users' permissions and access controls, and provide personalized form-filling guidance and verification for different users.

[0085] According to another aspect of the present invention, a form filling guide and document information verification system is proposed. Please refer to [link / reference]. Figure 2 ,include:

[0086] The identification unit 100 is configured to, in response to receiving form filling data, identify the form filling data to determine the form filling intention;

[0087] Filling unit 200 is configured to determine the context information of the form filling data based on historical data in the form filling data model, and generate filling suggestions based on the filling intention and context information and return them.

[0088] Verification unit 300 is configured to compare the completed document information with historical data in response to completion, obtain the verification result, and return it.

[0089] In this invention, the identification unit 100 uses a data mining module to train a form-filling data model and uses the form-filling data model to identify form data. The data mining module uses data mining technology to conduct in-depth analysis and mining of a large number of data sources to extract patterns, rules and correlations, providing a basis for form-filling guidance and information verification.

[0090] The form-filling unit 200 uses a form-filling guidance module and a context information processing module. The form-filling guidance module, based on data mining analysis results, enables the system to understand the user's intention to fill out the form and infer the information required. The system guides the user step-by-step through the fields and provides real-time suggestions and prompts to ensure the user fills in correct and complete information. The context information processing module considers contextual information during the form-filling process, including historical form-filling data and user authentication, to provide more accurate filling suggestions and verification results.

[0091] The verification unit 300 uses an information verification module. This module utilizes patterns and rules obtained through data mining to verify and compare the information on completed forms. The system can automatically detect potential errors or anomalies in the entered information and promptly provide the verification results to the user to help them correct errors in a timely manner.

[0092] This invention automatically identifies the user's intent to fill out a form, accurately determines the fields that need to be filled in, and provides filling suggestions based on historical data and contextual information, guiding the user to fill in correct and complete information. The completed form information is validated and compared with historical data to detect potential errors or anomalies. Users can promptly receive the validation results and make corrections to ensure the accuracy of the information entered.

[0093] Based on the same inventive concept, according to another aspect of the present invention, such as Figure 3 As shown, an embodiment of the present invention also provides a computer device 30, which includes a processor 310 and a memory 320. The memory 320 stores a computer program 321 that can be run on the processor. When the processor 310 executes the program, it performs the steps of the method described above.

[0094] Based on the same inventive concept, according to another aspect of the present invention, such as Figure 4 As shown, embodiments of the present invention also provide a computer-readable storage medium 40, which stores a computer program 410 that, when executed by a processor, performs the methods described above.

[0095] Embodiments of the present invention may also include a corresponding computer device. The computer device includes a memory, at least one processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes any of the methods described above when executing the program.

[0096] The memory, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions / modules in the embodiments of this application. The processor executes various functional applications and data processing of the device by running the non-volatile software programs, instructions, and modules stored in the memory, thereby implementing the above-described method.

[0097] The memory may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the device. Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In embodiments, the memory may optionally include memory remotely located relative to the processor, which can be connected to the local module via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0098] Finally, it should be noted that those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. The storage medium for the program can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc. The above computer program embodiments can achieve the same or similar effects as any of the corresponding foregoing method embodiments.

[0099] Those skilled in the art will also understand that the various exemplary logic blocks, modules, circuits, and algorithm steps described in conjunction with the disclosure herein can be implemented as electronic hardware, computer software, or a combination of both. To clearly illustrate this interchangeability between hardware and software, the functionality of various illustrative components, blocks, modules, circuits, and steps has been generally described. Whether this functionality is implemented as software or as hardware depends on the specific application and the design constraints imposed on the system as a whole. Those skilled in the art can implement the functionality in various ways for each specific application, but such implementation decisions should not be construed as departing from the scope of the embodiments disclosed herein.

[0100] The above are exemplary embodiments disclosed in this invention. However, it should be noted that various changes and modifications can be made without departing from the scope of the embodiments of this invention as defined by the claims. The functions, steps, and / or actions of the methods according to the disclosed embodiments described herein do not need to be performed in any particular order. The sequence numbers of the disclosed embodiments of this invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments. Furthermore, although the elements disclosed in the embodiments of this invention may be described or claimed individually, they may be understood as multiple unless explicitly limited to a singular number.

[0101] It should be understood that, as used herein, the singular form “a” is intended to include the plural form as well, unless the context clearly supports an exception. It should also be understood that, as used herein, “and / or” refers to any and all possible combinations of one or more of the associated listed items.

[0102] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the invention (including the claims) is limited to these examples. Within the framework of the invention, technical features of the above embodiments or different embodiments can be combined, and many other variations of different aspects of the invention exist, which are not provided in the details for the sake of brevity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the invention should be included within the protection scope of the invention.

Claims

1. A method for filling out forms and verifying document information, characterized in that, include, In response to receiving form completion data, the form completion data model identifies the form completion data to determine the form completion intention; The context information of the form filling data is determined based on historical data in the form filling data model, and filling suggestions are generated and returned based on the filling intention and context information; Upon completion, the completed document information is compared with historical data to obtain the verification result and return it. The method further includes: Obtain the data source, preprocess the data source, and divide it into training set and test set; The preprocessed data source is constructed into a bag-of-words model, the TF-IDF weights of the bag-of-words model are calculated, and the corresponding TF-IDF weights are used as the key features of the training set and the test set, respectively. Construct a random forest model and train it using the key features of the training set to obtain the trained model; The trained model is tested and optimized using key features of the test set to obtain the form-filling data model. The steps of determining the context information of the form filling data based on historical data in the form filling data model, generating filling suggestions based on the filling intention and context information, and returning the results include: The form-filling data model infers the data required to fill out the form based on the form-filling intention and historical data; it compares the inferred data with the form-filling data to generate guidance for the fields to be filled out, and provides filling suggestions based on the guided fields to be filled out and the context information.

2. The form filling guide and document information verification method according to claim 1, characterized in that, The step of testing and optimizing the trained model using key features of the test set to obtain the form-filling data model includes: In response to obtaining the trained model, the key features of the test set are used to test the trained model, the test results are obtained, and the evaluation index is calculated based on the test results. The form-filling data model is obtained by optimizing the training model based on the evaluation metrics.

3. The form filling guide and document information verification method according to claim 1, characterized in that, The step of the form data model recognizing the form data to determine the form filling intention in response to receiving form filling data includes: Get the form to be filled and initialize the fields of the form; The form-filling data model identifies the form-filling data and analyzes the form-filling intent, which includes the fields that need to be filled in.

4. The form filling guide and document information verification method according to claim 1, characterized in that, The steps for responding to completion of the form, comparing the completed document information with historical data, obtaining a verification result, and returning it include: Retrieve information from the completed form; Detect anomalies in document information using a data model for filling out forms; Generate verification results and correction suggestions for abnormal situations.

5. The form filling guide and document information verification method according to claim 3, characterized in that, The steps of the form-filling data model to identify form-filling data and analyze the form-filling intent include: The form filling data model identifies the form filling data and analyzes the form filling intention based on the form filling data and the historical data.

6. The form filling guide and document information verification method according to claim 4, characterized in that, The steps for generating verification results and correction suggestions in response to abnormal situations include: In case of abnormal situations, the verification results and correction suggestions are provided based on the context information of the data filled in on the document.

7. The form filling guide and document information verification method according to claim 1, characterized in that, The method further includes: User authentication is performed to differentiate the permissions and access control of different users, and form filling guidance and verification are provided for different users.

8. A form filling guide and document information verification system, characterized in that, include: The identification unit is configured to, in response to receiving form filling data, identify the form filling data to determine the form filling intention; The form filling unit is configured to determine the context information of the form filling data based on historical data in the form filling data model, and generate and return filling suggestions based on the form filling intention and context information. The verification unit is configured to compare the completed document information with historical data in response to completion, obtain the verification result, and return it. The system also includes: The modeling unit is configured to acquire a data source, preprocess the data source, and divide it into a training set and a test set; construct a bag-of-words model from the preprocessed data source, calculate the TF-IDF weights of the bag-of-words model, and use the corresponding TF-IDF weights as key features of the training set and the test set, respectively; construct a random forest model, train the random forest model using the key features of the training set, and obtain a trained model; test and optimize the trained model using the key features of the test set to obtain the form completion data model. The step of determining the context information of the form filling data based on historical data in the form filling data model and generating and returning filling suggestions based on the form filling intention and context information includes: the form filling data model infers the data required to fill the form based on the form filling intention and historical data; the inferred data is compared with the form filling data to generate guidance for the filling fields, and filling suggestions are provided based on the guided filling fields and the context information.

9. A computer device, comprising: At least one processor; The processor also includes a memory storing a computer program that can run on the processor, characterized in that when the processor executes the program, it performs the steps of a form filling guide and document information verification method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it performs the steps of the form filling guide and document information verification method as described in any one of claims 1 to 7.

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