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RISS 인기검색어
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- 저자 : ( Hwidong Kim ) (검색결과 7 건)
- 무료
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Study on the Operation of the Solar Heating System with Ground Source Heat Pump as a Back-up Device
김휘동(Kim, Hwidong),백남춘(Baek, Namchoon),이진국(Lee, Jinkook),신우철(Shin, Uchul) 한국신재생에너지학회 2010 한국신재생에너지학회 학술대회논문집 Vol.2010 No.06
The study on the operation characteristics of solar space and water heating system with ground source heat pump (GSHP) as a back-up device was carried out. This system, called solar thermal and geothermal hybrid system (ST/G), was installed at Zero Energy Solar House II (KIER ZeSH-II) in Korea Institute of Energy Research. This ST/G hybrid system was developed to supply all thermal load in a house by renewable energy. The purpose of this study is to find out that this system is optimized and operated normally for the heating load of ZeSH-II. Experiment was continued for seven months, from October to April. The analysis was conducted as followings ; - the contribution of solar thermal system. - the appropriateness of GSHP as a back-up device. - the performance of solar thermal and ground source heat pump system respectively. - the adaptation of thermal peak load - the operation characteristics of hybrid system under different weather conditions. Finally the complementary measures for the system simplification was referred for the commercialization of this hybrid system.
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문장구조 유사도와 단어 유사도를 이용한 클러스터링 기반의 통계기계번역
김한경(Hankyong Kim),나휘동(Hwidong Na),이금희(Jin-Ji Li),이종혁(Jong-Hyeok Lee) 한국정보과학회 2010 정보과학회논문지 : 소프트웨어 및 응용 Vol.37 No.4
통계기계번역에서 번역성능의 향상을 위해서 문장의 유형이나 장르에 따라 클러스터링을 수행하여 도메인에 특화된 번역을 시도하는 방법이 있다. 그러나 기존의 연구 중 문장의 유형 정보와 장르에 따른 정보를 동시에 사용한 경우는 없었다. 본 논문에서는 각 문장의 문법적 구조 유사도에 따른 유형별분류 기법과, 단어 유사도 정보를 사용한 장르 구분법을 적용하여 기존의 두 기법을 통합하였다. 이렇게 분류된 말뭉치에서 추출한 도메인 특화 모델과 전체 말뭉치에서 추출된 모델에서 보간법(interpolation)을 사용하여 통계기계번역의 성능을 향상하였다. 문장구조 유사도와 단어 유사도의 계산 방법으로는 각각 커널과 코사인 유사도를 적용하였으며, 두 유사도를 적용하여 말뭉치를 분류하는 과정에서는 K-Means 알고리즘과 유사한 기계학습 기법을 사용하였다. 이를 일본어-영어의 특허문서에서 실험한 결과 최선의 경우 약 2.5%의 상대적인 성능 향상을 얻었다. Clustering method which based on sentence type or document genre is a technique used to improve translation quality of SMT(statistical machine translation) by domain-specific translation. But there is no previous research using sentence type and document genre information simultaneously. In this paper, we suggest an integrated clustering method that classifying sentence type by syntactic structure similarity and document genre by word similarity information. We interpolated domainspecific models from clusters with general models to improve translation quality of SMT system. Kernel function and cosine measures are applied to calculate structural similarity and word similarity. With these similarities, we used machine learning algorithms similar to K-means to clustering. In Japanese-English patent translation corpus, we got 2.5% point relative improvements of translation quality at optimal case.
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드론 촬영 정사영상을 이용한 합성곱 신경망 딥러닝 알고리즘 기반 콘크리트 균열 자동평가 시스템
박휘동(Park, Hwidong),김지형(Kim, Jihyung),장아름(Jang, Arum),주영규(Ju, Young K.) 대한건축학회 2021 대한건축학회 학술발표대회 논문집 Vol.41 No.2
Cracks in concrete structure can lead to major structure failure if not noticed correctly at the right time. Various methods have been studied to detect concrete cracks due to the disadvantage of existing visual inspection. As the fourth industrial revolution has also affected the construction industry, concrete crack detection technologies using fields such as drones and AI are also developing. Vision recognition-based systems still have limitations such as identifying the location of cracks. This study proposes an efficient method of automatically detecting concrete cracks by using Convolutional Neural Network(CNN) with the Orthomosaic image, modeled with the help of UAV. The CNN model was developed and trained from combination of open source and original images.
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Impacts of Road Salts on Leaching Behavior of Lead Contaminated Soil
( Jingjing Wu ),( Timothy Cheney ),( Hwidong Kim ) 한국폐기물자원순환학회(구 한국폐기물학회) 2015 한국폐기물자원순환학회 3RINCs초록집 Vol.2015 No.-
Research was conducted to explore the effects of road salts on lead leaching from lead contaminated soil samples that were collected in an old residence area in Erie, PA, USA. The leaching test was conducted using a leaching solution used for the synthetic precipitate leaching procedure (SPLP) mixed with commercial road salts purchased from a local home-improvement stores. In order to evaluate lead leaching from lead contaminated soil in the presence of road salts, various levels of road salts (5%, 10%, 20%, 30% and 40%) were added to the SPLP leaching solution and tested for lead leaching behavior. The results of the leaching test showed that lead leaching was dramatically increased as road salts were added. With 30% of a fixed value of road salt, approximately 50 mg/L of lead was found in the leaching solution of one of the soil samples. This value is 3000 times higher than the Action Level of lead (0.015 mg/L) in the US drinking water standard. The lead leachability was highly dictated by lead mineral species contained in different leadbased paint pigments.
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농촌 비치매 노인들에서 성별, 연령 그리고 교육 수준이 한국판 간이정신상태검사 성적에 미치는 영향
박종한(Jonghan Park),김휘동(Hwidong Kim) 대한노인정신의학회 1999 노인정신의학 Vol.3 No.1
목 적 : 비치매 농촌 노인들에서 성, 연령 그리고 교육 수준이 간이정신상태검사에 미치는 영향을 평가하였다. 방 법 : 어느 농촌의 65세 이상의 비치매 노인 617명에게 간이정신상태검사를 실시하였다. 성, 연령 그리고 교육 수준이 간이정신상태검사 성적에 미치는 영향을 Studentt-검증, Pearson 상관계수, 일원변량분석, 공변량분석과 중다회귀분석을 이용하여 분석했다. 결 과 : 세 변수는 총점과 시간에 대한 지남력, 장소에 대한 지남력, 집중/계산, 언어 기능 그리고 이해 및 판단력 성적에 유의한 영향을 끼쳤다. 이 세 변수는 총점 변량의 40.0%를 설명할 수 있었다. 간이정신상태검사 하위검사 중, 기억 등록과 기억 회상은 이러한 변수들에 유의한 영향을 받지 않았다. 여성, 고령 노인, 교육 수준이 낮은 사람들의 간이정신상태검사 성적이 더 불량했다. 결 론 : 치매 유병률이 약 10%인 집단에서는 치매가 간이정신상태검사 총점 변량의 영향에 영향을 미치지 못하는 것 같다. 성, 연령, 교육 수준은 시간에 대한 지남력, 장소에 대한 지남력, 집중/계산, 언어 기능 그리고 이해 및 판단력에 영향을 미치지만 기억 등록이나 기억 회상에는 영향을 미치지 않는다. 여성, 고령 그리고 낮은 교육 수준은 치매의 위험 요인으로 생각된다. Objective : The authors investigated effects of gender, age and education on the MMSEK performances in a non-demented elderly rural population. Methods : The MMSEK was administered to 617 non-demented elderly people aged 65 or more in a rural area. The effects on the total and subtest MMSEK scores of gender, age and education were analyzed by Student t-test, Pearson's correlation, oneway analysis of variance, analysis of covariance and stepwise multiple regression. Results : The three independent variables showed significant influence on the total score, orientation in time, orientation in place, attention/calculation, language function and comprehension & judgement of the MMSEK. The three variables could account for 40.0% of the variance of the total MMSEK score. Of the MMSEK subtests, memory registration and memory recall were resistant to the variables. MMSEK scores of the female, the older people and the undereducated were even less. Conclusion : Prevalence of dementia seems not to influence on the variance of total MMSEK score in a population in which its prevalence is about 10%. Gender, age and education have significant effects on orientation in time, orientation in place, attention/calculation, language function and comprehension & judgement, while not on memory registration and memory recall. Female sex, old age and undereducation are thought to be risk factors for development of dementia.
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