• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2005년도 추계학술대회지
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• pp.133-137
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• 2005

인공용승구조물 설치해역에서 구조물 설치에 따른 해양환경변화를 조사하였다. 남해안의 전선역에 인접한 연구해역의 남동역에서 고온$\cdot$고염의 분포가 하계에 뚜렷하게 나타났다. 또한 구조물 설치 해역에서는 구조물 설치에 따른 유동의 변화 양상을 볼 수 있었다. 하계 영양염은 표층과 중층에서 구조물 투하 전인 2002년보다 구조물 투하 후인 2005년에 크게 증가하였다. 인공용승구조물설치에 따른 해역의 해양환경특성을 파악하기 위해서는 구조물 효과에 의한 구조물 투하 전$\cdot$후의 보다 장기적인 해양환경조사를 통한 환경변화를 정량적으로 파악할 필요가 있다.

• 한국정보통신학회논문지
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• 제26권1호
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• pp.49-57
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• 2022

최근 인공지능의 다양한 활용은 기계학습의 딥 인공신경망 구조를 통해 가능해졌으며 인간과 같은 능력을 보여주고 있다. 불행하게도 딥 구조의 인공신경망은 아직 정확한 해석이 이루어지고 있지 못하고 있다. 이러한 부분은 인공지능에 대한 불안감과 거부감으로 작용하고 있다. 우리는 이러한 문제 중에서 인공신경망의 능력 부분을 해결한다. 인공신경망 구조의 크기를 계산하고, 그 인공신경망이 처리할 수 있는 데이터의 크기를 계산해 본다. 계산의 방법은 수학에서 쓰이는 군의 방법을 사용하여 데이터와 인공신경망의 크기를 군의 구조와 크기를 알 수 있는 Order를 이용하여 계산한다. 이를 통하여 인공신경망의 능력을 알 수 있으며, 인공지능에 대한 불안감을 해소할 수 있다. 수치적 실험을 통하여 데이터의 크기와 딥 인공신경망을 계산하고 이를 검증한다.

• 한국수산과학회지
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• 제39권spc1호
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• pp.132-141
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• 2006

Artificial structures have been designed as pilot structures to promote the creation and restoration of tidal flats. However, little information is available as to whether such artificial construction affects the macrobenthic community structure. We monitored the variation of the macrobenthic community structure and species composition near natural and artificial structures (seaweed and a timber fence) on the tidal flats near the Iwon Dike, Korea. In total, 137 macrobenthic species were recorded during this study, predominantly crustaceans (47%), polychaetes (18%), and molluscs (27%). Polychaetes comprised over 50% of the total density, followed by gastropods (38%) and crustaceans (11%). Macrobenthic species composition in the artificial and natural areas, was initially similar, but it differed after 7 months. The gastropod Umbonium thomasi, the most dominant species, was present at both sites in the first month after the start of the experiment, but disappeared at the artificial sites within 7 months, suggesting disturbance by the environmental factors. The number of species and diversity (H') varied significantly within sites at the beginning of the experiment, but no difference was observed after 7 months. Multivariate analysis (multidimensional scaling) revealed significant differences in community structure between the artificial and the natural areas from 7 months after the start of the experiment, except from 18 to 21 months. The community structures were mainly influenced by U. thomasi. Community structure at the artificial sites was affected by environmental variables, such as carbon, COD/IL sulfide, loss of ignition, kurtosis and silt, which changed over time. We observed no significant correlations between environmental variables and the dominant species, except in the case of Spio sp. and Macrophthalmus dilatatus, suggesting that the biological interactions and temporary disturbances such as typhoon, as well as the effects of artificial structures may also be important regulating factors in this system.

• 해양환경안전학회지
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• 제12권1호
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• pp.1-8
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• 2006

인공용승구조물 설치해역에서 구조물 설치에 따른 해양환경변화를 조사하였다. 남해안의 전선역에 인접한 연구해역의 남동역에서 고온 고염의 분포가 하계에 뚜렷하게 나타났다. 또한 구조물 설치에 따른 유동의 변화 양상을 볼 수 있었다. 한편, 영양염 분포를 보면, 하계 영양염은 표층과 중층에서 구조물 투하 전인 2002년보다 구조물 투하 후인 2005년에 크게 증가하였다. 따라서 구조물 설치로 인한 구조물 설치 전과 후의 해양환경 변화양상은 구조물 설치 효과에 영향을 받고 있음을 알 수 있다. 인공용승구조물설치에 따른 해역의 해양환경특성을 파악하기 위해서는 구조물 설치 전 후의 단기적 비교로부터 보다 장기적인 해양환경조사를 통하여 구조물설치에 따른 효과가 제시되어야 한다.

• KIEAE Journal
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• 제3권2호
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• pp.25-32
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• 2003

This study deals with the investigation of recognition structure on architectural environment and reconstruction of it by artificial intelligence. To test the possibility of the reconstruction, recognition structure on architectural environment is analysed and each steps of the structure are matched with computational methods. Edge Detection and Neural Network were selected as matching methods to each steps of recognition process. Visual perception system established by selected methods is trained and tested, and the result of the system is compared with that of experiment of human. Assuming that the artificial system resembles the process of human recognition on architectural environment, does the system give similar response of human? The result shows that it is possible to establish artificial visual perception system giving similar response with that of human when it models after the recognition structure and process of human.

• 한국해양환경ㆍ에너지학회지
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• 제20권2호
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• pp.100-106
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• 2017

인공용승구조물은 저층에 인공적으로 해중산(Sea Mount)을 설치하여, 저층수가 상층의 유광층(Euphotic Zone)으로 용승되도록 하는 구조물로 저층수에 포함된 풍부한 영양염의 공급은 일차생산을 증가시키고 이에 따른 먹이 연쇄작용 및 어류 군집 유도효과를 기대할 수 있다. 본 연구에서는 인공용승구조물의 재료 및 형태에 따라 달라질 수 있는 공극률의 변화에 따른 흐름특성을 파악하고자 하였다. 그 결과, 공극률이 커질수록 상승유량은 작아졌고, 상승유량이 작아짐에 따라 하강유량도 작아지는 특성을 파악할 수 있었다. 인공용승구조물의 단위면적당 용승유량은 공극률이 10%일 때 가장 좋은 효율을 나타냈으며, 공극률이 20%일 경우에도 불투과성 인공용승구조물에 비해 좋은 효율을 보였다. 따라서 인공용승구조물의 최적단면을 설계할 경우 공극률을 20% 이하로 설계할 때 좋은 효율을 보일 것으로 판단된다.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2002년도 추계학술대회 논문집
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• pp.277-282
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• 2002

This study was performed to find out basic function of artificial upwelling structures. Generation of artificial upwelling current was affected by size of structures, incident current and porosity. when stratification parameters was about 3.0, relative height(hs/h) of structures was $0.125{\sim}0.15$, stable artificial upwelling current was generated in the back-side of structures. when porosity is lower than 50%, the effect of artificial upwelling structure was to be better than little by little.

• 한국환경과학회지
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• 제19권1호
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• pp.47-59
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• 2010

This study was to examine the characteristics of wirdbirds habitat for improvement plan in green corridor. The target site, Gangseo-gu artificial green corridor was set up with the structure in which small scale of core green space with Goongsan and Yeomchang neighborhood parks in urbanized city was connected with the artificial green space with Gongamnaru, Hwanggeumnae neighborhood parks with 28~42.5 m in width. Wild birds six~eleven species; Dendrocopos spp, Paradoxornis webbiana, Parus major, Phasianus colchicus, etc. were observed in core green, but wild birds of two~five species: Columba livuia, Passer montanus, Pica pica, Hypsipetes amaurotis, etc. were observed in artificial green space. Thus wild birds of artificial and generalist species only moved in artificial green space. The artificial green space where vegetation structure was consisted of single-layer with poorness chose target species laying stress on generalist species and edge species of Parus major, P. palustris, Paradoxornis webbiana etc. for short-term and interior species of Dendrocopos major, Picus canus, etc. for long-term. The result suggested enhancement methods for target species's habitat in green corridor: to secure at least a corridor 30 meters in artificial corridor, to secure ecological pond, to offer the various shelterer and environment of prey-resources through the multi-layer structure.

• The Plant Pathology Journal
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• 제37권3호
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• pp.299-306
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• 2021

Pollination is an essential process for plants to carry on their generation. Pollination is carried out in various ways depending on the type of plant species. Among them, pollination by insect pollinator accounts for the most common. However, these pollinators have be decreasing in population density due to environmental factors. Therefore, use of artificial pollination is increasing. However, there is a lack of information on microorganisms present in the artificial pollens. We showed the composition of bacteria structure present in the artificial pollens of apple, kiwifruit, peach and pear, and contamination of high-risk pathogens was investigated. Acidovorax spp., Pantoea spp., Erwinia spp., Pseudomonas spp., and Xanthomonas spp., which are classified as potential high-risk pathogens, have been identified in imported pollens. This study presented the pollen-associated bacterial community structure, and the results are expected to be foundation for strengthening biosecurity in orchard industry.

• Structural Engineering and Mechanics
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• 제85권3호
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• pp.393-406
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• 2023

Smart structures are those structure that could adopt some behavior to prevent instability in their responses. The recognition of stability deterioration has been performed through rigid mathematical formulations in control theory and unpredicted results could not be addressed in control systems since they are able to only work under their predefined condition. On the other hand, incorporating all affecting parameters could result in high computational cost and delay time in the response of the systems. Artificial intelligence (AI) method has shown to be a promising methodology not only in the computer science by at everyday life and in engineering problems. In the present study, we exploit the capabilities of artificial intelligence method to obtain frequency response of a smart structure. In this regard, a comprehensive development of equations is presented using Hamilton' principle and first order shear deformation theory. The equations were solved by numerical methods and the results are used to train an artificial neural network (ANN). It is demonstrated that ANN modeling could provide accurate results in comparison to the numerical solutions and it take less time than numerical solution.