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다중매트릭스 분석기법을 통한 모듈러 건축의 최적 운송장비 선정 의사결정지원 모델
이현정,이주성,임지택 한국건설관리학회 2020 한국건설관리학회 논문집 Vol.21 No.6
Modular architecture is very important not only in the design phase but also in the construction planning phase because it affects construction methods and module sizes depending on transport equipment. There are economic risks as well as quality, as there may be defects such as internal interiors or elimination of deadlines during transportation, and structural torsion caused by rainfall and shock. However, there is a lack of objective criteria or data to refer to in determining transport equipment that has a material effect on transport. Accordingly, there is no decision model to determine the optimum transportation equipment for each construction site. Therefore, it is necessary to develop a decision support model that can be compared to the review of transport equipment selection factors. The purpose of this study is to propose the transport equipment impact factors and decision support models for systematic review and objective decision making of each construction plan in the construction of small and medium-sized modulators. The decision model proposed in this study can be used as basic data for transport studies, ensuring objectivity and transparency in the equipment selection process.
이현정,서정호 한국문화재보존과학회 2021 보존과학회지 Vol.37 No.6
본 연구의 목적은 박락과 오염이 심하여 보존 상태가 좋지 않은 치성광여래 무신도에 대한 과학적 조사를 기초로 보존처리를 진행한 논문이다. 연구 방법으로는 상태 조사와 과학적 장비를 이용하여 무신도의 재질과 제작 방법을 파악하였다. 사용 장비로는 색차계와 실체현미 경 그리고 휴대용 현미경, P-XRF, FT-IR, SEM-EDS를 이용하여 배접지와 바탕재의 종류와 채색 안료 성분분석을 하였다. 분석결과 배접지는 펄프지, 바탕재는 합성섬유인 폴리에스테르로 확 인되었다. 또한 사용 안료는 적색 안료인 연단[Red Lead, Pb3O4], 백색 안료인 호분[Oyster Shell White, CaCO3]을 제외하고 나머지는 합성안료로 확인되었다. 또한, 19세기 후반 무신도에서 주로 확인되는 녹색안료인 에메랄드그린[Emerald Green, Cu(C2H3O2)2 ⋅3Cu(AsO2)2]이 검출되었 다. 이와 같은 분석을 통하여 확인된 재질 및 안료를 사용하여 치성광여래 무신도의 보존처리 를 진행하여 보존하고자 하였다. This study presents a method for conserving shamanistic spirits in Chiseonggwang Buddha. Scientific investigation has revealed that these spirits have been subject to degeneration as a result of severe exfoliation and pollution. The materials and preservation treatment techniques used in create these shamanistic spirits were identified through visual inspection and using appropriate scientific equipment. The different types of background paper, background material, and color pigments used in create the shamanistic spirits were analyzed using a colorimeter, stereoscopic microscope, and SEM-EDS techniques. The analysis revealed that the pulp paper was used as the background and synthetic fiber polyester as the background material. In addition, the study of the pigment revealed that the color components were all synthetic, except for red lead [Pb3O4] and oyster shell white [CaCO3]. Moreover, it was confirmed that the green pigment, identified as emerald green [Cu(C2H3O2)2.3Cu(AsO2)2], was a major component of shamanistic spirits in the late 19th century. The shamanistic spirits in Chiseonggwang Buddha were conserved by identifying raw materials and pigments through this detailed analysis.
이현정,김휘문,김경태,신지영,박창석,박현주,송원경 한국환경복원기술학회 2022 한국환경복원기술학회지 Vol.25 No.1
Urban problems are constantly occurring around the world due to rapid industrialization and population decline. In particular, as the number of vacant houses is gradually increasing as the population decreases, it is necessary to prepare countermeasures. A plan to utilize vacant houses has emerged to restore the natural environment of the urban ecosystem where forest destruction, damage to habitats of wild animals and plants, and disconnection have occurred due to large-scale development. Through connectivity analysis, it is possible to understand the overall ecosystem flow based on the movement of species and predict the effect when vacant houses are converted into green spaces. Therefore, this study analyzed the green area network to confirm the possibility of greening of vacant houses neglected in Jeonju based on circuit theory. Using Circuitscape and Least-cost path, we tried to identify the connectivity of green areas and propose an ecological axis based on the analysis. In order to apply the resistance values required for analysis based on previous studies, the 2020 subdivision land cover data were integrated into the major classification evaluation items. When the eight forests in the target site were analyzed as the standard, the overall connectivity and connectivity between forests in the area were high, so it is judged that the existing green areas can perform various functions, such as species movement and provision of habitats. Based on the results of the connectivity analysis, the importance of vacant houses was calculated and the top 20 vacant houses were identified, and it was confirmed that the higher the ranking, the more positive the degree of landscape connectivity was when converted to green areas. In addition, it was confirmed that the results of analyzing the least-cost path based on the resistance values such as connectivity analysis and the existing conceptual map showed some differences when comparing the ecological axes in the form. As a result of checking the vacant houses corresponding to the relevant axis based on the width standards of the main and sub-green areas, a total of 30 vacant houses were included in the 200m width and 6 vacant houses in the 80m width. It is judged that the conversion of vacant houses to green space can contribute to biodiversity conservation as well as connectivity between habitats of species as it is coupled with improved green space connectivity. In addition, it is expected to help solve the problem of vacant houses in the future by showing the possibility of using vacant houses.
멧돼지(Sus scrofa) 서식지 및 이동 특성을 고려한 연결성 모델링 연구
이현정,김휘문,김경태,정승규,김유진,이경진,김호걸,박찬,송원경 한국환경복원기술학회 2022 한국환경복원기술학회지 Vol.25 No.4
Wild boars(Sus scrofa) are expanding their range of behavior as their habitats change. Appearing in urban centers and private houses, it caused various social problems, including damage to crops. In order to prevent damage and effectively manage wild boars, there is a need for ecological research considering the characteristics and movement characteristics of wild boars. The purpose of this study is to analyze home range and identify land cover types in key areas through tracking wild boars, and to predict the movement connectivity of wild boars in consideration of previous studies and their preferred land use characteristics. In this study, from January to June 2021, four wild boars were captured and tracked in Jinju city, Gyeongsangnam-do, and the preferred land cover type of wild boars was identified based on the MCP 100%, KDE 95%, and KDE 50% results. As a result of the analysis of the home range for each individual, it was found that 100% of MCP was about 0.68㎢, 2.77㎢, 2.42㎢, and 0.16㎢, and the three individuals overlapped the home range, refraining from habitat movement and staying in the preferred area. The core areas were analyzed as about 0.55㎢, 2.05㎢, 0.82㎢, and 0.14㎢ with KDE 95%., and about 0.011㎢, 0.033㎢, 0.004㎢, and 0.003㎢ with KDE 50%. When the preferred land cover type of wild boar was confirmed based on the results of analysis of the total home range area and core area that combined all individuals, forests were 55.49% (MCP 100%), 54.00% (KDE 95%), 77.69% (KDE 50%), respectively, with the highest ratio, and the urbanization area, grassland, and agricultural area were relatively high. A connectivity scenario was constructed in which the ratio of the land cover type preferred by the analyzed wild boar was reflected as a weight for the resistance value of the connectivity analysis, and this was compared with the connectivity evaluation results analyzed based on previous studies and wild boar characteristics. When the current density values for the wild boar movement data were compared, the average value of the existing scenario was 2.76, the minimum 1.12, and the maximum 4.36, and the weighted scenario had an average value of 2.84, the minimum 0.96, and the maximum 4.65. It was confirmed that, on average, the probability of movement predictability was about 2.90% better even though the weighted scenario had movement restrictions due to large resistance values. It is expected that the identification of the movement route through the movement connectivity analysis of wild boars can be suggested as an alternative to prevent damage by predicting the point of appearance. In the future, when analyzing the connectivity of species including wild boar, it is judged that it will be effective to use movement data on actual species.
셀피의 의미연결망 분석과 AR 카메라 앱 사용이 외모만족도와 자아존중감에 미치는 영향
이현정 복식문화학회 2022 복식문화연구 Vol.30 No.5
Image-oriented information is becoming increasingly important on social networking services (SNS); the background of this trend is the popularity of selfies. Currently, camera applications using augmented reality (AR) and artificial intelligence (AI) technologies are gaining traction. An AR camera app is a smartphone application that converts selfies into various interesting forms using filters. In this study, we investigated the change of keywords according to the time flow of selfies in Goolgle News articles through semantic network analysis. Additionally, we examined the effects of using an AR camera app on appearance satisfaction and self-esteem when taking a selfie. Semantic network analysis revealed that in 2013, postings of specific people were the most prominent selfie-related keywords. In 2019, keywords appeared regarding the launch of a new smartphone with a rear-facing camera for selfies; in 2020, keywords related to communication through selfies appeared. As a result of examining the effect of the degree of use of the AR camera app on appearance satisfaction, it was found that the higher the degree of use, the higher the user’s interest in appearance. As a result of examining the effect of the degree of use of the AR camera app on self-esteem, it was found that the higher the degree of use, the higher the user’s negative self-esteem.