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Papers and previous papers
At present, colleges and universities need to pass the plagiarism detection system for master's and doctoral dissertations. For undergraduates, most schools will also take spot checks to test their papers.

Too much plagiarism, once found to be more than 20%, will have serious consequences. Those who are light will postpone graduation, and those who are heavy will cancel their degrees. How uncomfortable it is for Nima to study hard in college and get a degree reimbursement.

But the software, after all, is a manual setting mechanism, which embeds the detection algorithm. As long as the mechanism is clear and simple modifications are made, the test can be successfully passed.

This article is information collected on the Internet. I have sorted out the most important parts for your reference.

Paper plagiarism detection algorithm;

1. Paragraph and format of the file

Paper detection is basically the whole article upload. After uploading, the paper detection software first divides it, and the final manuscript format has a great influence on the plagiarism rate. The division of different paragraphs may cause small paragraphs of dozens of words not to be found. So we can reduce the plagiarism rate by dividing more small paragraphs.

2. Database database

Paper detection mostly aims at matching published graduation papers, periodical papers and conference papers, and some databases also contain some articles on the Internet. It is revealed here that many books are not in the testing database. Before, my friend extracted a lot of words from a research work and didn't find it out. It can be seen that this method is still effective.

3. Chapter conversion

Many students changed the order of chapters, or extracted different articles from different articles, which had little effect on the results of plagiarism detection. Therefore, plagiarism detection experts suggest that you should not think that copying a few or dozens of articles will pass.

4. Mark references

How to define quoting others' articles and copying others' articles in detection software? It's actually quite simple. In our paper, reference symbols are added, but in plagiarism detection software. All these are viewed in a unified way. The threshold of software is generally set to 1%. For example, an article is 5000 words, and 1% of the article is 50 words. If more than 50 words are plagiarism, even if references are added, it is also plagiarism.

5. Word number matching

Paper plagiarism detection system is strict, as long as more than 20 units of text match, it is considered plagiarism, but the premise is to meet the fourth point, the labeling of references.

Paper plagiarism modification method:

The first is the change of words. The professional vocabulary in the article can be kept, and synonyms can be changed as much as possible;

Secondly, change the description in the text, such as inverted sentences, passive sentences and active sentences; Disrupt the order of paragraphs, divide the paragraphs when copying the original, and reorganize them.

Through the above methods, the plagiarism rate can be effectively reduced.

Here are a few examples for your reference:

Example a:

In this paper, the construction of HFS is studied by using the genetic algorithm combining integer coding and real coding as the objective function. The chromosome coding method and the corresponding genetic operation method proposed in this paper can realize the global random optimization of the research object. The research on the standard examples of automobile series shows that this method has high calculation repeatability and efficiency.

Modify a:

In this paper, the construction of HFS problem is studied. Genetic algorithm is combined with integer and real number coding, and the objective function is to maximize the utilization rate of equipment. The chromosome coding method and the corresponding genetic algorithm operation in this paper can effectively improve the global search ability of the algorithm. Through the study of some benchmark examples, the effectiveness of the algorithm in this paper is verified, and it has high computational repeatability and high operation efficiency.

Example b:

Due to the strong regionality of real estate commodities, real estate development enterprises usually need to set up project companies when investing in different regions, and at this time they will be faced with the choice of establishing branches or subsidiaries. A subsidiary is an independent legal person, but a branch is not. They differ in tax benefits. The subsidiary is an independent legal person, regarded as a taxpayer in the established area, and usually bears the same comprehensive tax payment obligations as other companies in the area; Branches are not independent legal entities, and they are not regarded as taxpayers in the place where they are established, and only bear limited tax obligations. The profit and loss of the branch company should be calculated with the head office.

Modify b:

When real estate development enterprises invest in different regions, they need to set up project companies because of the strong regionality of such commodities. At this point, enterprises need to choose whether to establish branches or subsidiaries. The main difference is that the subsidiary has an independent legal person, but the branch does not. Secondly, in terms of tax incentives, because the branch is not an independent legal person, the area where the branch is established is not regarded as a taxpayer, but only bears the tax obligation. The head office needs to count the profits and losses of the branches together; A subsidiary is an independent legal person, which is regarded as a legal entity in its region and needs to bear the same comprehensive tax obligations as other companies in the region.

There are no more ways to correct plagiarism than these. It is suggested that students be familiar with the references you read, close them and write them in their own words, so that they will not be greatly influenced by the references.

Some students here have raised questions. The detection system used by the school is the academic misconduct detection system of HowNet, not the Wan Fang data detection that Taobao bought for a few dollars.

In fact, the algorithm of each detection system is not very different, but there are many databases. If you don't have too much, don't be afraid of any system. Since you copied it, you should revise the article while you get the test report.