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Article

Restoration of Dimensions for Ancient Drawing Recognition

1
The Basic Science Institute, Chosun University, Kwangju 61452, Korea
2
Department of Computer Engineering, Chosun University, Kwangju 61452, Korea
3
Research Institute for Computer and Information Communication (RICIC), Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, Korea
4
Department of New Media Business, Seoul Media Institute of Technology, 99, Hwagok-Ro 61-Gil, Gangseo-Gu, Seoul 13557, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Kandaraj Piamrat and Hyunhee Park
Electronics 2021, 10(18), 2269; https://doi.org/10.3390/electronics10182269
Received: 13 August 2021 / Revised: 12 September 2021 / Accepted: 14 September 2021 / Published: 15 September 2021
(This article belongs to the Special Issue AI/ML Techniques for Intelligent IoT Systems)
This study aims to investigate and determine the actual size of the “cheok” scale—The traditional weights and measures of Korea—To aid in data construction on the recognition of ancient drawings in the field of artificial intelligence. The cheok scale can be divided into Yeongjocheok, Jucheok, Pobaekcheok, and Joryegicheok. This study calculated the actual dimensions used in the drawings of Tonga and Eonjo contained in Jaseungcha Dohae by Gyunam Ha BaeckWon, which helped us analyze the scale used in the southern region of Korea in the 1800s. The scales of 1/15 cheok and 1/10 cheok were used in the Tonga and Eonjo sections in Jaseungcha Dohae, and the actual dimensions in the drawing were converted to the scale used at the time. Owing to the conversion, the dimensions in the drawings of Tonga were converted to 30.658 cm per cheok, and ~31.84 cm per cheok for Eonjo. In this manner, the actual dimensions used in the southern region of Korea around the year 1800 were restored. Through this study, the reference values for drawing recognition of machinery drawings in Korea around 1800 were derived. View Full-Text
Keywords: Jaseungcha Dohae; recognition of ancient drawings; drawing recognition; AI; restoration of weights and measures Jaseungcha Dohae; recognition of ancient drawings; drawing recognition; AI; restoration of weights and measures
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MDPI and ACS Style

Rim, K.-c.; Kim, P.-k.; Ko, H.; Bae, K.; Kwon, T.-g. Restoration of Dimensions for Ancient Drawing Recognition. Electronics 2021, 10, 2269. https://doi.org/10.3390/electronics10182269

AMA Style

Rim K-c, Kim P-k, Ko H, Bae K, Kwon T-g. Restoration of Dimensions for Ancient Drawing Recognition. Electronics. 2021; 10(18):2269. https://doi.org/10.3390/electronics10182269

Chicago/Turabian Style

Rim, Kwang-cheol, Pan-koo Kim, Hoon Ko, Kitae Bae, and Tae-gyun Kwon. 2021. "Restoration of Dimensions for Ancient Drawing Recognition" Electronics 10, no. 18: 2269. https://doi.org/10.3390/electronics10182269

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