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- 저자 : 김혜림(Kim Hye-Lim) (검색결과 64 건)
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김혜림,김신,이홍림,Kim, Hye-Lim,Kim, Shin,Lee, Hong-Lim 한국세라믹학회 2002 한국세라믹학회지 Vol.39 No.6
Perovskite 구조를 나타내는 L $a_{0.6}$B $a_{0.4}$I $n_{1-y}$ $M_{y}$ $O_{3{\delta}}$(M=G $a^{3+}$ , S $c^{3+}$ , Y $b^{3+}$ )계 조성의 생성상과 proton 전도성을 관찰하였다. G $a^{3+}$ 이온이 25at% 첨가된 조성은 입방정 단일상을 나타낸 반면 50at% 첨가된 조성에서는 입방정상과 이차상이 함께 생성되었다. S $c^{3+}$ 이온 및 Y $b^{3+}$ 이온이 25at%와 50at%씩 첨가된 조성은 모두 입방정 단일상을 나타내었다. 양이온을 25at% 첨가한 조성에 대해 wet $N_2$ 분위기(P $h_{H_2O}$=6.1hPa)에서 전도도를 측정한 결과, S $c^{3+}$ 이온 및 Y $b^{3+}$ 이온이 첨가된 조성은 proton 전도를 나타내었다. Phase formation and proton conduction of L $a_{0.6}$B $a_{0.4}$I $n_{1-y}$ $M_{y}$ $O_{3-{\delta}}$(M=G $a^{3+}$, S $c^{3+}$, Y $b^{3+}$) system were studied. A cubic perovskite structure with a single phase was formed in all of the compositions of this work except for the composition off=G $a^{3+}$ with y=0.5, viz,L $a_{0.6}$B $a_{0.4}$I $n_{1-y}$G $a_{0.5}$ $O_{3-{\delta}}$ For the compositions of M=S $c^{3+}$and Y $b^{3+}$with y=0.25, proton conduction occurred in wet $N_2$ atmosphere(P $h_{H_2O}$=6.1hPa).X>/=6.1hPa).Pa).
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김혜림(Kim Hye-Lim),유현준(Yoo Hyun-Joon) 대한건축학회 2007 대한건축학회 학술발표대회 논문집 - 계획계/구조계 Vol.27 No.1
This study intends to find out the methods for activating traditional markets so that they would not be slacked off in the urban area, cope with the new environment, and correspond to the present times. As a study method, primary limitations and issues for the business to activate traditional markets are examined based on the previous studies, literatures, and case studies, and then reasonable plans for realizing traditional market activation in the city area are suggested based on the analyzed results.
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김혜림(Kim, Hye Lim),문태헌(Moon, Tae Heon),강성원(Kang, Seong Won) 한국주거환경학회 2022 주거환경(한국주거환경학회논문집) Vol.20 No.2
Starting in September 2007, 10 Innovation Cities were created across the country. Although there are positive evaluations of them in terms of enhancing balanced national development and vitality of the local cities, there are also criticisms on living or business environment. It is necessary to monitor the phenomena occurring in the Innovation City and find the customized revitalization strategies. This study analyzed the floating population and self-sufficiency of Gyeongnam Innovation City. The floating population between surrounding regions and Innovation City was analyzed by dividing it into the whole country, Gyeongnam, and Jinju. As a result, there was a large amount of inflow from the Seoul metropolitan area and the large cities in the Dongnam area. In Gyeongnam, the outflow was higher than the inflow. In Jinju, to which Gyeongnam Innovation City belongs, accounted for more than 80% of inflow and outflow. The amount of inflow and outflow in Jinju was large in Eup, Myeon, and Dong adjacent to Gyeongnam Innovation City. In addition, it was found that there were more inflows and outflows in the afternoon than in the morning and on weekend than on weekdays. The job-housing ratio was 0.789, the internal employment ratio was 0.836, and the self-sufficiency index was 2.245, indicating high self-sufficiency. As the number of jobs increased due to the creation of the innovation city, the number of economically active population and the number of jobs were balanced. However, in order to further increase the rate of relocation with families, it is necessary to reinforce support measures such as the creation of higher level of education and better living environment, and economic support.
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김혜림 ( Hye Lim Kim ) 한국피아노학회 2013 피아노음악연구 Vol.7 No.-
In late 19th century, throughout places such as Russia, Bohemia, Scandinavia, the United States, and England, music born of nationalism reflecting their specific cultural traditions and characters began appearing in reaction to Romanticist music catering to German-speaking regions. In Spain, it was started by Felipe Pedrell (1841~1922). Pedrell`s pupil Enrique Granados(1867~1916) was a central figure in Spanish nationalistic music along with Isaac Albeniz(1860~1909), and he composed such masterpieces as Danza Esponolas(1890) consisting of 12 musical pieces and Goyescas(1909-1911). Goyescas was inspired by Spanish court painter Francisco Goya(1746-1828)`s work, and it consists of six pieces. With the subtitle of “Los Majos Enamorados”, it centers on the romance of majo and maja, and takes the form of a variation where improvisation is the key style. This research, in order to define the musical characteristics of Goyescas, takes a close look at Spain`s cultural ingredients beginning with Spanish history. It turns out that because of the frequent foreign invasions Spain suffered due to its geography, it became home to diverse cultures that led to the development of Spanish nationalistic music differentiated from music of other German-speaking areas. Goyescas contains rhythms and modes derived from Spanish folk songs and folk dances, and elements reminiscent of the specific tones and playing styles of the guitar, a characteristic instrument in Spanish music. It is also a work held in high esteem for its literary values, as it presents Granados` innovative pianism through the combination of Spanish culture, Romanticism, and Impressionism.
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유형별 도시공원 접근성이 주택 가격에 미치는 영향 : 산지형 도시공원과 평지형 도시공원을 중심으로
김혜림(Kim, Hye-Lim),홍성조(Hong, Sungjo) 한국주거환경학회 2021 주거환경(한국주거환경학회논문집) Vol.19 No.2
도시에서 공원과 같은 오픈스페이스의 중요성이 증가하고 있다. 이에 따라 공원 접근성은 주택의 가격에 정의 영향을 미치는 것으로 잘 알려져 있다. 그러나 공원의 유형과 주택가격의 관계를 분석한 연구는 찾기 어렵다. 이에 본 연구는 도시공원을 산지형 공원과 평지형 공원으로 구분하고, 유형별 공원 접근성이 주택가격에 미치는 영향을 분석하였다. 연구의 공간적 범위는 청주시이며, 시간적 범위는 2018년이다. 주택가격을 종속변수로 하는 헤도닉 모형을 연구방법으로 이용하였다. 연구의 결과를 요약하면 다음과 같다. 첫째, 산지형 공원 접근성과 평지형 공원 접근성은 모두 주택 가격에 유의미한 양의 영향을 미친다. 둘째, 산지형 공원 접근성이 주택 가격에 미치는 영향이 평지형 공원 접근성에 비해 크다. 셋째, 공원의 면적은 주택가격에 유의한 영향이 없었다. The importance of open spaces such as parks in cities is increasing. Accordingly, it is well known that accessibility to parks has a positive effect on housing prices. However, it is difficult to find a study analyzing the relationship between the type of park and the housing price. Therefore, this study classified urban parks into mountainous parks and flat parks, and analyzed the effect of park accessibility by type on housing prices. The spatial scope of the study is Cheongju, and the temporal scope is 2018. A hedonic model with house price as a dependent variable was used as a research method. The summary of the results of the study is as follows. First, both accessibility to mountain parks and flat parks have a significant positive impact on housing prices. Second, the effect of accessibility to mountainous parks on housing prices is greater than accessibility to flat parks. Third, the area of the parks had no significant effect on the housing price.
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기상 데이터와 미세먼지 데이터를 활용한 머신러닝 기반 미세먼지 예측 모형
김혜림 ( Hye-lim Kim ),문태헌 ( Tae-heon Moon ) 한국지리정보학회 2021 한국지리정보학회지 Vol.24 No.1
미세먼지는 질병, 산업·경제에 부정적인 영향을 미치고 있어 국민들은 미세먼지에 대해 예민하게 반응하고 있다. 따라서 미세먼지의 발생을 예측할 수 있다면, 미리 대응책을 마련할 수 있어 생활과 경제에 도움이 될 수 있다. 미세먼지의 발생은 기상과 미세먼지 배출원의 밀집 정도에 영향을 받는다. 산업부문은 미세먼지 배출량이 가장 많으며, 그 중에 산단은 공장들이 미세먼지 배출원이 되어 더 많은 미세먼지를 배출하는 문제가 있다. 본 연구는 지방도시에서 노후산업단지가 있는 지역을 선정하여, 미세먼지를 일으키는 요인을 탐색하고, 미세먼지 발생을 예측할 수 있는 예측모형을 개발하고자 한다. 기상 데이터와 미세먼지 관련 데이터를 활용하였고, 다중회귀분석을 통해 미세먼지 발생에 영향을 미치는 변수를 추출하였다. 이를 토대로 머신러닝 회귀학습기 모형으로 학습하여 예측력이 높은 모형을 추출하였고, 검증용 데이터를 이용하여 예측 모형의 성능을 검증하였다. 그 결과, 예측력이 높은 모형은 선형회귀모형, 가우스 과정 회귀모형, 서포트 벡터 머신으로 나타났으며, 훈련용 데이터의 비율과 예측력은 비례하지 않은 것으로 나타났다. 또한 예측치와 실측치 차이의 평균치는 크지 않지만, 미세먼지 실측치가 높을 때, 예측력이 다소 떨어지는 것으로 나타났다. 본 연구의 결과는 지자체 데이터 허브를 통해 기상데이터와 관련 도시 빅데이터를 결합함으로써 보다 체계적이고 정밀한 미세먼지 예측 서비스로 개발이 가능할 것이며, 스마트산단의 발전을 촉진하는 계기가 될 것이다. As fine dust negatively affects disease, industry and economy, the people are sensitive to fine dust. Therefore, if the occurrence of fine dust can be predicted, countermeasures can be prepared in advance, which can be helpful for life and economy. Fine dust is affected by the weather and the degree of concentration of fine dust emission sources. The industrial sector has the largest amount of fine dust emissions, and in industrial complexes, factories emit a lot of fine dust as fine dust emission sources. This study targets regions with old industrial complexes in local cities. The purpose of this study is to explore the factors that cause fine dust and develop a predictive model that can predict the occurrence of fine dust. weather data and fine dust data were used, and variables that influence the generation of fine dust were extracted through multiple regression analysis. Based on the results of multiple regression analysis, a model with high predictive power was extracted by learning with a machine learning regression learner model. The performance of the model was confirmed using test data. As a result, the models with high predictive power were linear regression model, Gaussian process regression model, and support vector machine. The proportion of training data and predictive power were not proportional. In addition, the average value of the difference between the predicted value and the measured value was not large, but when the measured value was high, the predictive power was decreased. The results of this study can be developed as a more systematic and precise fine dust prediction service by combining meteorological data and urban big data through local government data hubs. Lastly, it will be an opportunity to promote the development of smart industrial complexes.
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