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이재웅,장종욱,Lee, Jae-Ung,Jang, Jong-Wook 한국정보통신학회 2018 한국정보통신학회논문지 Vol.22 No.12
무인이동체에 대한 연구가 지속적으로 이루어 져왔다. 현재까지 지속적인 연구의 결과 무인이동체의 상용화 소식이 들려온다. 또한, 다양한 분야에서 무인이동체를 적용해 왔다. 무인이동체를 실내에서 적용시키기 위해서도 또한, 많은 연구가 이루어져왔다. IoT전용 망인 LoRa망을 이용하여 작은 공간인 집이나 혹은 사무실 병원 에서부터 공장까지 LoRa망을 적용한 무인이동체 관제 시스템을 설치하여 무인이동체가 특수한 작업을 할 때, 더욱 효율성을 높여준다. 본 논문은 IoT전용 망인 LoRa망을 이용하여 무인이동체를 하나의 사물로 인식하고, 주변 사물과 소통을 하며 무인이동체가 실내에서 주행에 필요한 정보들을 클라우드 서버로부터 제공 받음으로써, 다양한 문제점들에 대한 해결책을 제시한다. There has been a steady study of unmanned vehicle. So far, continuous research has brought news of the commercialization of unmanned vehicle. In addition, it has been applied in a variety of fields with another industry. A lot of research has been done, too, to apply inert driving indoors. Using LoRa network, which is a network dedicated to IoT, unmanned vehicle control system that is applied to LoRa network from a small space, or from an office hospital to a factory, is installed to increase efficiency when the performs special tasks. This paper presents solutions to a variety of problems by using LoRa network, which is dedicated to IoT, to recognize an unmanned vehicle as a single object, to communicate with surrounding objects, and to receive information necessary for driving indoors from a cloud server.
이재웅(Jae Ung Lee),이오영(Oh Young Lee),양석철(Suck Chul Yang),한동수(Dong Soo Han),손주현(Joo Hyun Sohn),김순길(Soon Kil Kim),김호중(Ho Jung Kim),고희관(Hee Kwan Koh),정자헌(Ja Hun Jung),남승우(Seung Woo Nam),백인규(In Kyu Paik),이창 대한내과학회 1997 대한내과학회지 Vol.52 No.1
N/A Objectives: The degree of hyperkalemia and effects of potassium removal by hemodialysis on the plasma potassium concentration to see the influence of nonselective beta-adrenergic blockade(carteolol) and ACE inhibitor(captopril) on patients in maintenance hemodialysis were evaluated. Methods: This study was done on 16 patients with end-stage renal disease undergoing maintenance hemodialysis. These patients were classified two groups; group 1-patients with carteolol or captopril(9 patients) and group 2-patients without medication(7 patients). Measurement of plasma potassium and arterial blood gas analyses were performed at pre-dialysis and during hemodialysis(4 hours). To analysis the distribution of potassium kinetics during hemodialysis, dialysis potassium clearance rate was introduced in this study. Results: 1) Among 16 patients studied, the mean age was 43 years old and the ratio of male to female was 2: 1 and the mean duration of hemodialysis was 17.9 months. The underlying cause of end-stage renal disease was chronic glomerulonephritis in the most patients. 2) The mean predialysis plasma potassium concentration of all patients, group 1 on medication, and group 2 without medication was 5.13±1.04mEq/L, 5.67±1.01mEq/L and 4.410.55mEq/L, with high significance(p<0.001) between groups 1 and 2. 3) The mean postdialysis plasma potassium concentration of group 1 on medication and group 2 without medication was 348±0.40mEq/L and 3.39±0.56mEq/L with insignificance between groups 1 and 2. 4) The pre- and post-dialysis concentration of plasma sodium, pH and bicarbonate between group 1 and group 2 was similar except glucose. 5) Despite the fall in absolute plasma concentration in group 1 more than twice than in group 2, the difference in dialysis potassium clearance rate measured at 1 hour of hemodialysis in group 1 compared to that of group 2 was only 12M. Conclusion: These data are consistent with at least a two-compartment distribution of plasma potassium rather than single pool in addition to frequent hyperkalemia on maintenance hemodialysis on nonselective beta-adrenergic blocker or ACE inhibitor contributed to partial impairment of extrarenal transcellular shifts of potassium during inter- and intra-dialytic phase.
디지털 병리 대장암 진단을 위한 삼중항 손실을 이용한 심층 메트릭 학습
이재웅(Jae Ung Lee),김경은(Kyung Eun Kim),송보람(Bo Ram Song),이주천(Ju Cheon Lee),Vuong Thi Le Trinh,Wang Jiamu,Syed Farhan Abbas,곽진태(Jin Tae Kwak) 대한전자공학회 2022 대한전자공학회 학술대회 Vol.2022 No.11
In this paper, we propose a deep metric learning classification model for colon cancer grading which aims to learn feature vector similarity by distance comparisons. The proposed method is evaluated on >9,800 colorectal image patches. The experimental results show that the method achieves 87.85% accuracy and 0.8425 F1-score, suggesting that the proposed learning method can improve histopathological analysis of cancer grade classification in pathological images.
추진축계정렬 프로그램 개발 및 신뢰성 평가에 대한 연구
이재웅(Jae-Ung Lee),박개명(Kae-Myoung Park),문준식(Jun-Sik Moon),오주원(Joo-Won Oh),전효중(Hyo-Jung Kim),김정렬(Jeon-Ryul Kim),차지협(Ji-Hyub Cha) 한국마린엔지니어링학회 2010 한국마린엔지니어링학회 학술대회 논문집 Vol.2010 No.4
Proper shaft alignment is one of the most important actions during the design of the propulsion system. The stiffness of recently designed marine propulsion shafting has been increasing remarkably, whereas hull structures have become more likely to deform as a result of optimized design of the scantlings and the high tensile steel. hereupon, this paper dealing with introduction of newly developed shaft alignment programme by our society and review its reliability evaluation compare with other alignment programmes.