{"title":"折线图(折线图)的自动数值转换程序","authors":"M. Yoshitake, Takashi Kono, Suguru Kadohira","doi":"10.2477/jccj.2020-0002","DOIUrl":null,"url":null,"abstract":"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, etc. Most deep-learning models achieve accuracy higher than 95%. The usability is demonstrated with some examples.","PeriodicalId":41909,"journal":{"name":"Journal of Computer Chemistry-Japan","volume":"41 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Program for Automatic Numerical Conversion of a Line Graph (Line Plot)\",\"authors\":\"M. Yoshitake, Takashi Kono, Suguru Kadohira\",\"doi\":\"10.2477/jccj.2020-0002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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, etc. Most deep-learning models achieve accuracy higher than 95%. The usability is demonstrated with some examples.\",\"PeriodicalId\":41909,\"journal\":{\"name\":\"Journal of Computer Chemistry-Japan\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer Chemistry-Japan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2477/jccj.2020-0002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Chemistry-Japan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2477/jccj.2020-0002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Program for Automatic Numerical Conversion of a Line Graph (Line Plot)
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, etc. Most deep-learning models achieve accuracy higher than 95%. The usability is demonstrated with some examples.