• Title/Summary/Keyword: 청담

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프로방스퐁 이탤리언 레스토랑 미세스 로리-가정집에서 즐기는 나만의 이탈리아 음식

  • Ha, Yu-Jeong
    • 주택과사람들
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    • s.218
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    • pp.110-111
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    • 2008
  • 수많은 이탤리언 레스토랑 중에 어디를 갈까 고민한다면? 청담동 학동사거리에 위치한 미세스 로리에 가보자. 압구정도, 청담동 일대의 '값비싸고 양 적기'로 소문난 음식점들과 달리 '가격은 저렴하면서 맛 좋고, 양 많은 집'으로 유명하니까.

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The Existence and Design Intention of Jeong Seon's True-View Landscape Painting <Cheongdamdo(淸潭圖)> (겸재 정선(謙齋 鄭敾) <청담도(淸潭圖)>의 실재(實在)와 작의(作意))

  • SONG Sukho;JO Jangbin ;SIM Wookyung
    • Korean Journal of Heritage: History & Science
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    • v.56 no.2
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    • pp.172-203
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    • 2023
  • <Cheongdamdo>(true-view landscape painting) was identified in this study to be a folding screen painting painted by Jeong Seon(a.k.a. Gyeomjae, 1676~1759) in the 32nd year of King Yeongjo(1756) while exploring the Cheongdam area located in Mt. Bukhansan near Seoul. Cheongdam Byeol-eop(Korean villa), consisting of Waunru Pavilion and Nongwolru Pavilion, was a cultural and artistic base at that time, where Nakron(Confucian political party) education took place and the Baegak Poetry Society met. <Cheongdamdo> is a painting that recalls a period of autumn rainfall in 1756 when Jeong Seon arrived in the Cheongdam valley with his disciple Kim Hee-sung(a.k.a. Bulyeomjae, 1723~1769) and met Hong Sang-han(1701~1769). It focuses on the valley flowing from Insubong peak to the village entrance. The title has a dual meaning, emphasizing "Cheongdam", a landscape feature that originated from the name of the area, while also referring to the whole scenery of the Cheongdam area. The technique of drastically brushing down(刷擦) wet pimajoon(hanging linen), the expression of soft horizontal points(米點), and the use of fine brush strokes reveal Jeong Seon's mature age. In particular, considering the contrast between the rock peak and the earthy mountain and symmetry of the numbers, the attempt to harmonize yin and yang sees it regarded as a unique Jingyeong painting(眞境術) that Jeong Seon, who was proficient in 『The Book of Changes』, presented at the final stage of his excursion. 「Cheongdamdongbugi」(Personal Anthology) of Eo Yu-bong(1673~1744) was referenced when Jeong Seon sought to understand and express the true scenery of Cheongdam and the physical properties of the main landscape features in the villa garden. The characteristics of this garden, which Jeong Seon clearly differentiated from the field, suppressed the view of water with transformed and exaggerated rocks(水口막이), elaborately creating a rain forest to cover the villa(裨補林), and adding new elements to help other landscape objects function. In addition, two trees were tilted to effectively close the garden like a gate, and an artificial mountain belt(造山帶), the boundary between the outer garden and the inner garden, was built solidly like a long fence connecting an interior azure dragon(內靑龍) and interior white tiger(內白虎). This is the Bibo-Yeomseung painting(裨補厭勝術) that Jeong Seon used to turn the poor location of the Cheongdam Byeol-eop into an auspicious site(明堂). It is interpreted as being devised to be a pungsu(feng shui) trick, and considered an iconographic embodiment of ideal traditional landscape architecture that was difficult to achieve in reality but which was possible through painting.

A Study on the Locational Patterns of Wedding Shops in Seoul : A Case of Gangnam-Gu (서울시 웨딩 업체의 입지 패턴에 관한 연구 : 강남구를 사례로)

  • Joo, Kyung-Sik;Park, Young-Sook
    • Journal of the Korean association of regional geographers
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    • v.17 no.6
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    • pp.698-709
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    • 2011
  • Wedding shops, which had been located in Jung-gu, Jongno-gu, Seodaemun-gu, and Mapo-gu in 1990, have been shown a rapid change in light of location since the year of 1995. Thus, most of shops are concentrated on Gangnam-gu in 2010. Wedding dress shops in Gangnam-gu were distributed between Kanglim Church and Apgujeong station in the early 1990s, and then moved gradually to Dosan park and then to Cheongdam-dong after passing through Hakdong intersection. Luxury image in Cheongdam-dong was the main reason for integration of wedding businesses. This intergration of shops showed the peak at the Cheongdam intersection. A motive of having come to start business in Cheongdam-dong was selected the high awareness and image in district, and was taken the ease for business-based cooperation and connection. High rent and inconvenient transportation were reasons for dissatisfaction. The business-based cooperation and connection were mostly formed through a consulting company. Level and reputation of relevant shops were important elements. Even the connective and associative shops are located the most in Cheongdam-dong followed by Nonhyeon-dong, Shinsa Apgujeong-dong in order. The cluster relationship was most noticeable in wedding studio, wedding dress, wedding consulting, and hanbok(Korean traditional clothes) business. Frequency of vertical cluster was indicated to be more than horizontal cluster. User behavior of wedding businesses in Seoul has been collecting wedding information through internet and wedding consulting business.

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Development of water elevation prediction algorithm using unstructured data : Application to Cheongdam Bridge, Korea (비정형화 데이터를 활용한 수위예측 알고리즘 개발 : 청담대교 적용)

  • Lee, Seung Yeon;Yoo, Hyung Ju;Lee, Seung Oh
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.121-121
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    • 2019
  • 특정 지역에 집중적으로 비가 내리는 현상인 국지성호우가 빈번히 발생함에 따라 하천 주변 사회기반시설의 침수 위험성이 증가하고 있다. 침수 위험성 판단 여부는 주로 수위정보를 이용하며 수위 예측은 대부분 수치모형을 이용한다. 본 연구에서는 빅데이터 기반의 RNN(Recurrent Neural Networks)기법 알고리즘을 활용하여 수위를 예측하였다. 연구대상지는 조위의 영향을 많이 받는 한강 전역을 대상으로 하였다. 2008년~2018년(10개년)의 실제 침수 피해 실적을 조사한 결과 잠수교, 한강대교, 청담대교 등에서 침수 피해 발생률이 높게 나타났고 SNS(Social Network Services)와 같은 비정형화 자료에서는 청담대교가 가장 많이 태그(Tag)되어 청담대교를 연구범위로 설정하였다. 본 연구에서는 Python에서 제공하는 Tensor flow Library를 이용하여 수위예측 알고리즘을 적용하였다. 데이터는 정형화 데이터와 비정형 데이터를 사용하였으며 정형화 데이터는 한강홍수 통제소나 기상청에서 제공하는 최근 10년간의 (2008~2018) 수위 및 강우량 자료를 수집하였다. 비정형화 데이터는 SNS를 이용하여 민간 정보를 수집하여 정형화된 자료와 함께 전체자료를 구축하였다. 민감도 분석을 통하여 모델의 은닉층(5), 학습률(0.02) 및 반복횟수(100)의 최적값을 설정하였고, 24시간 동안의 데이터를 이용하여 3시간 후의 수위를 예측하였다. 2008년~ 2017년 까지의 데이터는 학습 데이터로 사용하였으며 2018년의 수위를 예측 및 평가하였다. 2018년의 관측수위 자료와 비교한 결과 90% 이상의 데이터가 10% 이내의 오차를 나타내었으며, 첨두수위도 비교적 정확하게 예측되는 것을 확인하였다. 향후 수위와 강우량뿐만 아니라 다양한 인자들도 고려한다면 보다 신속하고 정확한 예측 정보를 얻을 수 있을 것으로 기대된다.

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