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간이식 수술 후 재발된 B형 간염 환자 및 de novo 감염 환자에서 Adefovir의 치료 효과에 대한 예비 보고
김건국 ( Keon Kuk Kim ),김기훈 ( Ki Hun Kim ),황신 ( Shin Hwang ),안철수 ( Chul Soo Ahn ),문덕복 ( Deok Bog Moon ),하태용 ( Tae Yong Ha ),이승규 ( Sung Gyu Lee ) 대한소화기학회 2005 대한소화기학회지 Vol.45 No.3
Background/Aims: Anti-viral therapy using hepatitis B immune globulin and lamivudine could not prevent HBV recurrence after liver transplantation (LT) completely. Adefovir dipivoxil is a acyclic nucleotide phosphate analogue and known to have potent anti-
국내 외래객 출입국 데이터를 활용한 관광객 일별 수요 예측 인공지능 모델 연구
김동건(Dong-Keon Kim),김동희(Donghee Kim),장승우(Seungwoo Jang),신성국(Sung Kuk Shyn),김광수(Kwangsu Kim) 한국정보통신학회 2021 한국정보통신학회 종합학술대회 논문집 Vol.25 No.1
외래 관광객 수요를 분석하고 예측하는 것은 관광 정책을 수립하고 기획하는데 지대한 영향을 미치기 때문에 관광 산업 분야에서 매우 중요하다. 외래 관광객 데이터는 여러 외적 요인들에 의해 영향을 받기 때문에, 시간에 따른 미세한 변화가 많다는 특징을 갖는다. 따라서, 최근에는 관광객 입국자 수요를 예측하기 위해 경제 변수 등 여러 외적 요인들도 함께 반영하여 예측 모델을 설계하는 연구를 진행하고 있다. 그러나 기존의 시계열 예측에 주로 사용되는 회귀분석 모델과 순환신경망 모델은 여러 변수들을 반영하는 시계열 예측에 있어 좋은 성능을 보이지 못했다. 따라서 우리는 합성곱 신경망을 활용하여 이러한 한계점들을 보완한 외래 관광객 수요 예측 모델을 소개한다. 본 논문에서는 한국관광공사에서 제공한 과거 10개년 외래 관광객 데이터와 추가적으로 수집한 여러 외적 요인들을 입력 변수로 반영하는 1차원 합성곱 신경망을 설계하여 외래 관광객 수요를 예측하는 모델을 제시한다. Analyzing and predicting foreign tourists' demand is a crucial research topic in the tourism industry because it profoundly influences establishing and planning tourism policies. Since foreign tourist data is influenced by various external factors, it has a characteristic that there are many subtle changes over time. Therefore, in recent years, research is being conducted to design a prediction model by reflecting various external factors such as economic variables to predict the demand for tourists inbound. However, the regression analysis model and the recurrent neural network model, mainly used for time series prediction, did not show good performance in time series prediction reflecting various variables. Therefore, we design a foreign tourist demand prediction model that complements these limitations using a convolutional neural network. In this paper, we propose a model that predicts foreign tourists' demand by designing a one-dimensional convolutional neural network that reflects foreign tourist data for the past ten years provided by the Korea Tourism Organization and additionally collected external factors as input variables.
무인 수중글라이더의 자세제어기 및 부력제어기 특성을 고려한 운동해석 시뮬레이션
남건석(Keon-Seok Nam),하지훈(Ji-Hoon Ha),김준영(Joon-Young Kim),최형식(Hyeung-Sik choi),이용국(Yong-Kuk Lee) 대한기계학회 2014 대한기계학회 춘추학술대회 Vol.2014 No.5
The underwater glider make forward movement through the downward movement and upward movement. Downward movement and upward movement is generated by buoyancy control using the control of buoyancy controller. In this paper, we derive nonlinear 6 DOF dynamic equation consider characteristic of underwater glider. Validity of derived nonlinear 6DOF dynamic equation is verified through simulation.
You, Byoung Kuk,Kim, Jong Min,Joe, Daniel J.,Yang, Kyounghoon,Shin, Youngsoo,Jung, Yeon Sik,Lee, Keon Jae American Chemical Society 2016 ACS NANO Vol.10 No.10
<P>Memristor devices based on electrochemical metallization operate through electrochemical formation/dissolution of nanoscale metallic filaments, and they are considered a promising future nonvolatile memory because of their outstanding characteristics over conventional charge-based memories. However, nanoscale conductive paths or filaments precipitated from the redox process of metallic elements are randomly formed inside oxides, resulting in unexpected and stochastic memristive switching parameters including the operating voltage and the resistance state. Here, we present the guided formation of conductive filaments in Ag nanocone/SiO, nanomesh/Pt memristors fabricated by high-resolution nanotransfer printing. Consequently, the uniformity of the memristive switching behavior is significantly improved by the existence of electric-field concentrator arrays consisting of Ag nanocones embedded in SiO2 nanomesh structures. This selective and controlled filament growth was experimentally supported by analyzing simultaneously the surface morphology and current mapping results using conductive atomic force microscopy. Moreover, stable multilevel switching operations with four discrete conduction states were achieved by the nanopatterned memristor device, demonstrating its potential in high density nanoscale memory devices.</P>