• The Korean Journal of Pain
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• 제11권2호
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• pp.321-325
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• 1998

Most of the patients with pain resulting from advanced cancer need opioid for adequate analgesia. Various Methods of drug administration to control the pain have been developed. One of them, continuous administration of intravenous morphine is used for more effective pain control in the patient with severe pain that cannot be satisfactorily controlled by other Methods of morphine administration. But this is not a suitable method at home because of the possibility of serious infectious complications and the difficulty in managing intravenous access by untrained personnel. Continuous subcutaneous adminstration of drugs can not only overcome such disadvantages of continuous intravenous infusion but also get almost the same effect of pain control as continuous intravenous infusion, and allows opportunity to move freely and return home, improving quality of life. We used continuous subcutaneous morphine and metoclopramide in the patients with cancer pain via a portable PCA device, and accomplished satisfactory pain relief without significant side effect.

• 드라이브 ㆍ 컨트롤
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• 제11권4호
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• pp.39-45
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• 2014

With recent oil price increases, the fuel efficiency of hydraulic excavators has become a serious issue. Researchers have considered weight lightening by high pressurization in order to improve the efficiency of the excavator and pump controlled actuation (PCA) and to reduce pressure loss of hybrid and valves using mechanical inertia. However, high pressurization is not very effective because the excavator operates at a low speed; a hybrid is inefficient because little accumulated inertial energy is accumulated; and PCA is ineffective because control precision and responsibility are low. In this study, a method to minimize air and gas in hydraulic oil has been presented as a simple and new way to increase hydraulic efficiency.

• 한국지능시스템학회논문지
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• 제14권4호
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• pp.431-437
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• 2004

본 논문은 차세대 지능형 기술 분야중 하나인 유비쿼터스 컴퓨팅 환경 기반에서의 얼굴인식을 제안한 것으로, 모바일 장치 중 하나인 핸드폰 카메라를 이용하여 얼굴 영상을 취득하고, 이를 이용하여 얼굴의 특징을 추출하고 인식하는 과정을 통해 모바일 보안을 생각하고자 한다. 얼굴인식을 위해 제안하는 방법은 PCA와 Fuzzy-LDA를 사용하였으며, 모바일 환경에서 데이터의 량을 줄이기 위해 다해상도 분석을 기반으로 하는 이산 웨이블렛을 사용하였다. 또한 획득된 특징데이터의 연결성을 확인하여 인식률을 얻기 위해 유클리디언 거리 측정 법을 사용하였다. 마지막으로 본 논문에서 제안한 방법의 유용성을 알아보기 위해 핸드폰 카메라를 이용해 실험한 결과 일반 카메라에서 획득한 영상에 비해 모바일 장치로부터 획득한 영상이 저해상도를 갖음에도 불구하고 높은 성능을 갖음을 확인할 수 있었다.