Download all files (838MB)

コレクション

引用

説明:

A program for fully automatic conversion of line plots in scientific papers into numerical data has been developed. By the conversion of image data into numerical data, users can treat so-called ‘spectra’ such as X-ray photoelectron spectra and optical absorption spectra in their purpose, plotting them in different ways such as inverse of wave number, subtracting them from users’ data, and so forth. This article reports details of the program consisting of many parts, with several deep-learning models with different functions, elimination of literal characters, color separation, and so forth. Most deep-learning models achieve accuracy higher than 95%. Its usability is demonstrated with some examples.

権利情報:

• In Copyright
  In Copyright

キーワード: Image data, Numerical data, Automatic conversion, Plot with multiple line, Deep learning

刊行年月日: 2020-10-26

出版者: Society of Computer Chemistry, Japan

掲載誌:

• Journal of Computer Chemistry, Japan (ISSN: 13473824) vol. 19 issue. 2 p. 25-35

研究助成金:

原稿種別: 論文以外のデータ

MDR DOI: https://doi.org/10.48505/nims.1445

公開URL: https://doi.org/10.2477/jccj.2020-0002

関連資料:

その他の識別子:

連絡先:

更新時刻: 2024-01-05 22:12:23 +0900

MDRでの公開時刻: 2023-02-06 11:31:32 +0900