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Graduation thesis format detection method based on finite-state machine

A technology of finite state machine and detection method, applied in the fields of instrumentation, calculation, electrical and digital data processing, etc., can solve the problems of easy inspection, wrong format of the paper, etc., to achieve the effect of high accuracy, fast detection speed, and improve the quality of the paper

Inactive Publication Date: 2022-04-22
ZAOZHUANG UNIV
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  • Claims
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Problems solved by technology

[0004] In view of the above-mentioned defects, the purpose of the present invention is to provide a graduation thesis format detection method based on a finite state machine, to realize automatic detection of the thesis format, to solve the problem that the thesis format is not easy to check for errors

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  • Graduation thesis format detection method based on finite-state machine

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Embodiment Construction

[0056] The specific content of the present invention is further described below;

[0057] The method for detecting the format of a graduation thesis based on a finite state machine in the present invention detects the contents of the thesis through a computer, and the checking and testing speed is fast.

[0058] The main system of the specific implementation process of the present invention is described below: the graduation thesis format detection method based on finite state machine, described detection method comprises the following steps

[0059] S1: Detect the format of the uploaded file. If it is in .docx format, enter S2. If not, remind the user to change the file format and re-upload;

[0060] S2: Load the file uploaded by the user into memory;

[0061] S3: load the format request selected by the user into the memory;

[0062] S4: configure the finite state machine model, and establish the state number;

[0063] S5: split the document uploaded by the user into sever...

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Abstract

The invention relates to the field of online article correction, in particular to a graduation thesis format detection method based on a finite-state machine. The method is realized through the following technical scheme: detecting that an uploaded file format is a document format, and if not, reminding a user to change the document format; loading a file uploaded by a user and a format requirement into a memory; configuring a finite-state machine model, and establishing a state number; the method comprises the following steps: splitting a document uploaded by a user into a plurality of entries, and establishing entry numbers 1-N; calling the ith piece of information (initial i = 1) from the memory, and judging igt; when N is greater than N, ending execution; judging to carry out state transition through a finite state machine model, calling a corresponding format algorithm to be compared with a paper format, if the format is correct, executing i + 1 and returning to the sixth step, if the format is wrong, marking a wrong statement, generating a modification method, and then executing the next step; adding the error statement and the modification method into a detection report; and ending the detection and generating a complete detection report.

Description

technical field [0001] The invention relates to the field of online article correction, in particular to a graduation thesis format detection method based on a finite state machine. Background technique [0002] Graduation thesis is the last academic link of college students in school, and it is an important standard for colleges and universities to measure whether college students meet the graduation requirements. At present, colleges and universities not only have clear requirements on the content of graduation thesis, but also have strict requirements on the format of the thesis, and those who do not meet the requirements are usually not allowed to participate in the defense. After writing a dissertation, in order to make the graduation thesis school meet the requirements of the format file, it needs to be submitted to the instructor for manual review, and then the instructor will point out the mistakes. The instructor needs to spend a lot of energy on manually reviewing ...

Claims

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Application Information

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IPC IPC(8): G06F40/232G06F40/103
CPCG06F40/232G06F40/103
Inventor 曹旨昊秦槐阳
Owner ZAOZHUANG UNIV