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Kim, Weol-Youg;Shin, Seung Seung-Jung
- The Journal of the Convergence on Culture Technology
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- v.4 no.4
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- pp.393-399
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- 2018
The development of unmanned AI continues, and the development of AI unmanned is aimed at more efficiently, accurately, and speedily the work that has been resolved by manpower such as industry, welfare, and manpower. AI unmanned technology is evolving in various places, and it is time to switch to unmanned systems from many industries and factories. We take this into consideration, and use the Deep Learning technology, which is one of the core technologies of artificial intelligence (AI), not the manpower but the fruits that pour the rails at once in a large orchard. We want to study the unmanned fruit sorting machine that can be operated under manager's supervision without dividing the fruit by type and grade and dividing by country of origin and grade. This unmanned automated classification system aims to reduce the labor cost by minimizing the manpower and to improve the
https://doi.org/10.17703/JCCT.2018.4.4.393 인용 PDF KSCI HTML

Seong-jun Bae;Ha-neul Yim;Seo-yeon Na;Chung-keun Chae;Jin-hyeok Choi;Jin-woo Lee;Sang-bong Shin
- Journal of the Korean Institute of Gas
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- v.27 no.1
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- pp.48-56
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- 2023
Currently, Hydrogen compressor is maintained and managed according to the safety management regulations of the operator. But it is not based on technical standards, so it is necessary to establish based on reliability. In this paper, hydrogen compressor taxonomy by ISO 14224 standard reviewed for hydrogen compressor operated by KOGAS-Tech hydrogen vehicle refueling station to establish 9-stage taxonomy, and FMEA was conducted to establish RCM strategy specified in SAE JA1011, and 1012. It is expected that results of taxonomy and RCM strategy will be used as basic data for development of standards for verifying the performance of compressors.
https://doi.org/10.7842/kigas.2023.27.1.48 인용 PDF