• Title/Summary/Keyword: 사리

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An Environmental Engineering Approach to the Nirvana in Korea (한국의 적멸보궁(寂滅寶宮)에 대한 환경공학적 고찰)

  • Chang, Tae-Hyun
    • Journal of Advanced Marine Engineering and Technology
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    • v.30 no.5
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    • pp.608-622
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    • 2006
  • This study has performed to investigate the Buddhist remains in Korea Particularly, the Nirvana and Sarira Pagoda at Tongdo temple, Sangwoun temple, Jungam temple, Bubheung temple and Bongjongam are handled by using on the observation, references and interviews with some experts in Buddhist culture. The results in Korea are compared with that of Thailand and China. But, The Nirvana and the Sarira Pagoda to keep Buddha's relic are quite different at each temple in Korea, Thailand and China. The air velocities were calculated in side of the Nirvana by using STAR-CD.

제주도에 분포하는 불가사리의 포식습성에 관한 연구

  • 고형범;김보영;홍성완;김판석;강봉조
    • Proceedings of the Korean Society of Fisheries Technology Conference
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    • 2001.10a
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    • pp.83-84
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    • 2001
  • 우리나라 연안 해역의 공동어장과 패류양식장에 서식하는 굴, 가리비, 반지락등 유용 조개류를 무차별 포식하는 불가사리는 패류양식 어민에게는 해적생물이라 불리우져, 이들을 퇴치하기 위한 대대적이고 적극적인 포획작업이 이루어지고 있다. 제주도의 경우도 마을 어장의 주요수산물인 전복, 소라, 오분자기등의 자원보존을 위한 불가사리 제거작업을 실시함과 동시에, 자원조성을 위한 종패 살포를 지속적으로 실시하고 있다. (중략)

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Conservation of the Reliquary from the East Pagoda at Gameunsa Temple Site (감은사지 동 삼층석탑 사리장엄구의 재보존처리)

  • Park, Haksoo
    • Conservation Science in Museum
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    • v.13
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    • pp.59-69
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    • 2012
  • The flower type ornament of the gilt bronze palace-type sarira reliquary among those sarira reliquaries of the East Pagoda at the Gameunssa Temple Site, which is the Treasure No. 1359 owned by the National Museum of Korea, was separated from the sarira reliquary in November 2010, thus conducting conservation treatments to be done on two items including the gilt bronze palace-type sarira reliquary during the period of March-October 2011. Those conservation treatments were carried out by following the process of removing the coated areas having excessive gross and bubbles, re-coating with Incralac, and then strengthening both the cracked areas and the separated flower-type ornaments with woven glass fiber after rejoining. For those areas where removal of gloss and bubbles at the coating and adhesive areas was not possible, the gloss and bubbles were made less perceivable through matting treatment and coloring.

A Comparative Study of Dewatering Aid for Digested Sludge by using A Starfish and A Shell (불가사리와 조개껍질을 개량제로 이용한 소화슬러지의 탈수 증진 비교)

  • Lee, Jae-Kwang;Yoo, Dae-Hyun;Lee, Myeon-Ju;Kang, Ho
    • Resources Recycling
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    • v.13 no.3
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    • pp.12-18
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    • 2004
  • A study on the enhancement of the dewaterability of sewage sludge was carried out by using the sea waste materials as a dewatering aid. It was made from a starfish and a shell by heating at $105∼700 ^{\circ}C$ and centrifuge and belt press were used as a mechanical dewatering process. The moisture content of sludge cake was reduced by 15∼22% (w/w) after addition of the dewatering aid at the dose of 1∼8 g/100mL of digested sludge. CST (capillary suction time) was measured to evaluate the effect of dewatering aid on sludge dewatering properties. CST was reduced after addition of a shell while increased after addition of a starfish. Enhancement of dewaterability after addition of a shell was better than that of a starfish. The heating temperature effect of the dewatering aid on dewaterability was not clear.

Recognition Technology for Multiple Objects of Asterias Amurensis Using Region Central Moment and Long Line Features (영역 중심 모멘트와 장선 특징을 이용한 아무르불가사리 다중개체 인식 기법)

  • Chu, Ran-Heui;Kim, Seong-Nak
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.5
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    • pp.83-88
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    • 2010
  • This study is going to suggest the technology to recognize a starfish by judging various starfish images. In case of recognition of single objects of the asterias amurensis, a starfish can be judged by using concave features and short line features but in case of multiple objects, it is impossible to extract the features of a starfish using concave features or short line so that it can't be recognized as a starfish. Accordingly, it is going to suggest the recognition technology using the features such as numbers of standard deviation, relative degree standard deviation and valid deviation of a long line by using the region central moment and a long line of multiple objects. As a result of experiments of the suggested technology, there were cases that recognition failed because the conditions of the standard deviation of a long line or the numbers of valid deviation of the relative degree couldn't satisfy the conditions but around 95% of a high recognition rate was shown.

An Improved Asterias Amurensis Recognition Method Based on Morphological Characteristics Analysis Techniques (형태적 특징 분석 기법을 이용한 아무르불가사리의 개선된 인식 방법)

  • Shin, Hyun-Deok;Jeon, Young-Cheol
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.10
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    • pp.61-69
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    • 2012
  • The population of highly prolific, predatory Asterias amurensis is growing sharply from year to year along the coastline of Korea, a nation surrounded by water on three sides. To make matters worse, the fact that Asterias amurensis devours living fish and shellfish has caused a heavy loss for fishermen involved in the aquaculture industry. What it all boils down to is the significance of technologies allowing one to recognize Asterias amurensis individuals using underwater images for the purpose of exterminating Asterias amurensis or identifying a change in the population of Asterias amurensis or the migration route of Asterias amurensis. An improved Asterias amurensis recognition method based on the morphological characteristics of Asterias amurensis was proposed in this paper. The proposed recognition method aimed at cases marked by the lack of extraction information on concaveness and convexity, which are the morphological characteristics of Asterias amurensis. Extracting all the characteristics of Asterias amurensis from images taken underwater is very difficult. In this respect, the proposed recognition is effective in terms of recognizing individuals in a diversity of Asterias amurensis images. As a result of the experiment, Our proposed method has achieved superior performance with 92.5% than other method.