ShiArthur03/01_Code_for_PAT_Model

PAT_Model代码验证步骤（Code Verification Steps）

Step 01 Environment Preparation

• 需要安装Matlab
• Matlab needs to be installed

Step 02 下载代码 Download the code

• 将Code_for_Paper和Original_Code两个文件夹拉取到本地。
• Pull the two folders Code_for_Paper and Original_Code to your local computer.

Step 03 下载数据 Download data

• 由于Github对上传文件大小有限制，我将会用到的数据存在云端，可以通过链接进行下载，里面应该含有data2.mat、data2_DSED_ACDC3.mat、data2_Saber_ACDC3.mat和data2_simulink_ACDC.mat四个文件。检查无误后将其分别复制到下载好的Code_for_Paper和Original_Code文件夹中。
• Since Github has a limit on the size of uploaded files, the data I will use is stored in the cloud and can be downloaded through link, which should contain four files: data2.mat, data2_DSED_ACDC3.mat, data2_Saber_ACDC3.mat, and data2_simulink_ACDC.mat. After checking that they are correct, copy them to the downloaded Code_for_Paper and Original_Code folders respectively.

Step 04 运行论文所使用代码 Run the code used in the paper

• 在Matlab环境中运行Code_for_Paper文件夹中boxing_compare_DCAC.m即可获得论文Fig.19-20的结果，再运行PATPaper.m即可获得论文Fig.21(a-b)的结果。
• Run boxing_compare_DCAC.m in the Code_for_Paper folder in the Matlab environment to obtain the results of Fig.19-20 in the paper, and then run PATPaper.m to obtain the results of Fig.21 (a-b) in the paper.

Step 05 运行原始代码 Run the original code

• 在Matlab环境中运行Original_Code文件夹中boxing_compare_DCAC.m即可获得原本Fig.19-20应该出现的结果，再运行PATPaper.m即可获得原本Fig.21应该出现的结果
• Run boxing_compare_DCAC.m in the Original_Code folder in the Matlab environment to get the results that should appear in Fig.19-20, and then run PATPaper.m to get the results that should appear in Fig.21

Step 06 对比分析 Comparative analysis

• 比较两者结果差异，验证“学术不端行为”的有效性。
• Compare the differences between the two results to verify the effectiveness of "academic misconduct".

Step 07 一点技巧 A little trick

• 细心的同学可能发现得到的图和论文中的图在尺寸和线条颜色上有不同，那是因为我担心被导师发现，先在matlab中弄好数据放缩后，将数据导入到其他画图软件，例如Origin里面重新绘图，这样导师就不可能发现了。
• Careful people may find that the obtained figure is different from the figure in the paper in size and line color. That’s because I was worried that my supervisor would find out, so I first scaled the data in Matlab, and then imported the data into other drawing software, such as Origin, and re-drew the figure. This way, my supervisor would not be able to find out.