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이현호,Lee, Hyun-Ho 한국공간구조학회 2020 한국공간구조학회지 Vol.20 No.4
In this study, performance experiments were performed on the shape of steel dampers that affect the rocking behavior. Three types of strut shapes of SI type, SV type and SS type were considered as experimental variables. As a result of the experiment, the capacity to resist the moment and drift ratio according to the strut shape of the steel damper was evaluated as very close. Finally, it was evaluated that the SV type steel damper has stable deformation and energy dissipation capability. As a result of the evaluation of the proposed damper transmission force, it is considered that the damper transmission force is evaluated larger than the applied horizontal force, and it is necessary to supplement it.
이현호,김세일 한국구조물진단유지관리공학회 2011 한국구조물진단유지관리공학회 논문집 Vol.15 No.5
본 연구의 목적은 강재댐퍼 면내에 형성되는 슬릿 형상이 댐퍼의 강도 및 변형 능력에 미치는 영향을 평가하는데 있다. 이를 위하여 댐퍼 스트럿의 높이 및 각도에 대한 실험체 12개를 만들어 전단실험을 수행하였다. 분석결과, 댐퍼의 초기강성, 항복강도 및 항복 후 2차강성의 크기를 고려할 때 스트럿 높이가 200mm이고, 스트럿 각도 60°인 S형 강재댐퍼의 내진성능이 가장 우수한 것으로 평가되었다. 또한 기존내력식을 이용한 댐퍼의 항복강도 비교결과, 내력식의 결과보다 실험 결과값이 크게 나와 댐퍼의 항복강도는 스트럿높이, 스트럿각도 등의 크기정도에 지배 받는 것으로 나타났다. The purpose of this study is to evaluate of the strength and deformation capacity of metallic dampers with the variable slit shape. For this purpose, 12 metallic damper specimens were prepared and shear testing was performed. According to the test results, the S shaped metallic damper with the strut height of 200mm and angle of 60° shows better hysteretic performance than any other specimens. By making a comparison between the yield strength in test and the proposed strength formula, test results shows larger yield strength than calculation method.
이현호,박지연,김상준,이유진,양지원 한국지하수토양환경학회 2003 지하수토양환경 Vol.8 No.1
본 연구에서는 동전기적 토양복원에 적합한 계면활성제를 선정하는 방법으로 세 가지 계면활성제, APG, Brij30, SDS를 대상으로 토양에 흡착되는 계면활성제의 양, phenanthrene에 대한 용해도, 생분해도 및 동전기적 토양정화 현상을 살펴보았다. Phenanthrene은 kaolinite에 최대 2,200 mg/kg dry soil까지 흡착되었으며, APG, Brij30, SDS는 토양 1kg당 각각 40, 7, 4g이 흡착되었다. Phenanthrene의 용출효율은 계면활성제에 대해서 Brij30>SDS>APG의 순서로 나타났으며, 생분해도는 APG>Brij30>SDS순서로 나타났다. 동전기 정화실험에서는, 세 가지 계면활성제 중에서 전기삼투 흐름이 가장 원활한 APG가 phenanthrene에 대해 높은 제거율을 나타냈다. 이로부터 동전기적 토양복원에 적용하기 위해서는 계면활성제의 유기오염물에 대한 용출효율보다는, 전기삼투 흐름을 원활하게 할 수 있는 계면활성제를 선택하는 것이 보다 중요한 요소임을 알 수 있었다. Three different surfactants, APG, Brij30, and SDS, were tested to study the characteristics of sorption on soil surfaces, washing ability, biodegradability, and electrokinetic removal. Kaolinite and phenanthrene were selected as a model soil and a representative HOC, respectively. Phenanthrene was sorbed on kaolinite up to 2,200 mg/kg dry soil. The APG, Brij30, and SDS were sorbed on soil to 40, 7, and 4g/kg soil, respectively. The washing ability of phenanthrene was in order of Brij30>SDS>APG. The biodegradability tested with sludge was in order of APG>Brij30>SDS. In the electrokinetic test, the highest removal efficiency was obtained with APG that exhibited the highest electroosmotic flow. To increase the removal efficiency of HOC in the electrokinetic remediation, the most important factor was the selection of surfactant which maximized the electroosmotic flow.
타이타늄 산화물층을 도입한 고분자 태양전지의 효율 향상 연구
이현호,이광희,김선희,김진영,김희주,박성흠,조신욱 한국물리학회 2005 새물리 Vol.50 No.3
We demonstrate that high eciency polymer solar cells can be fabricated using titanium oxide(TiOx) as an optical spacer. When a TiOx layer is deposited via a typical sol-gel process between the active layer and cathode, the devices exhibit almost 50 % enhancement in the external quantum eciency and in the power conversion eciency. The a TiOx layer acts as an ideal optical spacer by modifying the distribution of the optical electric eld energy inside the device, thereby inducing more photogenerated charge carriers in the polymer solar cell.
지능형 헤드헌팅 서비스를 위한 협업 딥 러닝 기반의 중개 채용 서비스 시스템 설계 및 구현
이현호,이원진 한국멀티미디어학회 2020 멀티미디어학회논문지 Vol.23 No.2
In the era of the Fourth Industrial Revolution in the digital revolution is taking place, various attempts have been made to provide various contents in a digital environment. In this paper, agent-recruitment service system based on collaborative deep learning is proposed for the intelligent head hunting service. The service system is improved from previous research [7] using collaborative deep learning for more reliable recommendation results. The Collaborative deep learning is a hybrid recommendation algorithm using “Recurrent Neural Network(RNN)” specialized for exponential calculation, “collaborative filtering” which is traditional recommendation filtering methods, and “KNN-Clustering” for similar user analysis. The proposed service system can expect more reliable recommendation results than previous research and showed high satisfaction in user survey for verification.