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Nostril Detection Algorithms for Visual Control of Automatic COVID-19 Swab Sampling Robot Systems
Guebin Hwang(황규빈),Sungwook Yang(양성욱) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.4
Coronavirus disease 2019 (COVID-19) has spread rapidly and become a global pandemic. Initial screening of patients is most critical to prevent the spread of COVID-19. However, nasopharyngeal swab regarded as a reference sampling method to detect COVID-19 may pose a high risk of cross-infection and also the high workload of medical professionals. We believe that fully automatic sample collection robot systems would have great potential to address these issues. Therefore, we propose a robot system capable automatically of inserting a sampling swab through one nostril using a camera attached to the system. This study aims to evaluate the performance of nostril detection algorithms based on deep learning, Faster RCNN with a two-stage detector and YOLOv3 with a one-stage detector. For a testing set of 100-nostril photos, Faster RCNN showed a detection accuracy of 98% within 0.30-s processing time, whereas YOLOv3 was with 100%-accuracy within 0.14 s. Both deep-learning based approaches outperform a conventional machine learning algorithm, Viola-Jones algorithm, effective for face detection. Although the Viola-Jones algorithm reduced the processing time to 0.03 s, only an accuracy of 24% was obtained for the data set. It concludes that YOLOv3 is suitable for the real-time visual servo control of the COVID-19 sampling robot in terms of accuracy and speed. Future work includes real-time nostril tracking and visual servo control to accomplish fully automated swab sampling.
최진우(J.-W. Choi) 한국해양환경·에너지학회 2004 한국해양환경·에너지학회 학술대회논문집 Vol.2004 No.-
This study was aimed to detect the temporal changes in the composition and abundance of macrobenthic fauna of the soft-bottom benthic communities after the Sea Prince Oil Spill around Sori Island in July 1995. Temporal comparison was possible after 1998 thereafter the same sampling sites were selected in the study area. Polychaete worms were the most diverse and abundant faunal group accounted for 80.4% to 94.1% of total density during sampling period. The most abundant species was a cirratulid, Tharyx sp. found mainly near island coasts during 1998 and 1999. However their high density was shown outer coastal region after 2002, and this pattern remained until 2004. Species diverity(H') also changed; H' increased from 1998 to 1999, but it decreased to the 1998 values in 2002. However it incresed again in 2004. In the case of BPI, there was a steady increment in the index values from 1999 to 2004, which indicates the gradual recovery of soft-bottom benthic communities from the oil spill impacts in the study area.
최진우(J. W. Choi),김은숙(E. S. Kim),김영만(Y. M. Kim),우종우(J. W. Woo),한재일(J. I. Han),전성익(S. I. Jun) 한국정보과학회 1998 한국정보과학회 학술발표논문집 Vol.25 No.2Ⅲ
인터넷 사용의 폭발적 증가로 인해 다양하고 인터넷에서 제공되는 새로운 서비스들이 계속 증가하고 있다. 본 연구는 새로운 인터넷 서비스인 전자투표시스템에 대한 것으로 분산 미들웨어를 사용하여 H/W 나 S/W 의 제한 없는 클라이언트/서버 시스템을 목표로 하였다. 본 논문은 대표적인 분산 미들웨어인 CORBA 와 DCOM 을 사용하여 전자투표시스템의 프로토타입을 구현하고 그 결과를 비교한다. 이는 앞으로 개발될 실제 전자투표시스템의 개발에 요구되는 분산 미들웨어 선택에 유용한 지침이 될 것이다.