40-50대 중년여성의 노화인식에 따른 피부관리행동 연구

송아람 ( A-ram Song ),김현경 ( Hyeon-gyeong Kim ),최미옥 ( Mee-ok Choi ) 한국미용학회 2024 한국미용학회지 Vol.30 No.2

The paper aimed to investigate the perception of aging and corresponding skincare behaviors among women in their 40s and 50s. A survey was conducted from September 1, 2023, to October 10, 2023, involving 221 women aged 40 to 50. Data collected were analyzed using SPSS WIN 25.0. Frequency analysis was conducted to understand the general characteristics of the respondents and their perception of skin aging symptoms. Cross-analysis was performed to determine if there were differences in skincare behaviors based on the perception of skin aging symptoms. The results indicated that the onset of skin aging was generally perceived to begin in the late 30s, with particular concern about eye wrinkles. The initial recognition of skin aging was primarily through the appearance of eye wrinkles, with 47.5% of respondents identifying increased fine lines as the main symptom. Participants generally perceived their skin aging rate as slow compared to others. Analysis of preferred skincare methods to delay skin aging revealed statistically significant differences based on the perception of skin aging symptoms (p<.05). Regarding self-care methods for the skin, statistically significant differences were observed based on the perception of skin aging rate (p< .05). However, no statistically significant differences were found in the frequency of skincare investment based on the perception of skin aging symptoms (p >.05). The study also identified a desire among participants to hide or improve aging through professional skincare. Thus, it is suggested that promotional strategies for skincare tailored to middle-aged women and educational initiatives based on professional expertise should be implemented to enhance opportunities for healthy aging among this demographic.

IEA(Iterative Error Analysis)와 분광혼합분석기법을 이용한 초분광영상의 변화탐지

송아람 ( Ahram Song ),최재완 ( Jaewan Choi ),장안진 ( Anjin Chang ),김용일 ( Yongil Kim ) 대한원격탐사학회 2015 大韓遠隔探査學會誌 Vol.31 No.5

초분광영상을 이용한 변화탐지 기법으로는 Chronochrome(CC), Principal Component Analysis (PCA), 분광혼합분석(spectral unmixing) 등이 있다. 특히, 분광혼합분석을 이용한 변화탐지는 변화객체의 위치 정보뿐만 아니라 변화의 속성까지 분석할 수 있다는 점에서 매우 효과적이나, 분광혼합분석을 활용한 초분광영상의 변화탐지 연구는 여전히 초기단계에 머물러 있다. 본 연구에서는 분광혼합분석을 이용한 효과적인 변화탐지를 위하여 Iterative Error Analysis(IEA)와 Spectral Angle Mapper(SAM) 등을 활용하여두 영상에서 변화지역을 설명할 수 있는 동일한 endmember를 결정하였으며, 점유비율의 차영상을 통하여 변화지역을 추출하였다. 제안기법의 적용성을 평가하기 위하여 임의의 변화지역을 포함한 Compact Airborne Spectrographic Imager(CASI) 및 Hyperion 모의영상에 대한 변화탐지를 수행하였다. 실험결과, 제안기법이 기존의 CC, PCA, N-FINDR를 이용한 분광혼합분석보다 효과적으로 변화지역을 추출할 수 있는 것으로 나타났다. 본 연구의 제안기법은 사전정보 없이 자동으로 동일한 endmember를 추출할 수 있는 장점을 갖기 때문에 다양한 피복물질로 구성된 영상의 변화탐지에 효과적으로 활용될 것이다. Various algorithms such as Chronochrome(CC), Principle Component Analysis(PCA), and spectral unmixing have been studied for hyperspectral change detection. Change detection by spectral unmixing offers useful information on the nature of the change compared to the other change detection methods which provide only the locations of changes in the scene. However, hyperspectral change detection by spectral unmixing is still in an early stage. This research proposed a new approach to extract endmembers, which have identical properties in temporally different images, by Iterative Error Analysis (IEA) and Spectral Angle Mapper(SAM). The change map obtained from the difference of abundance efficiently showed the changed pixels. Simulated images generated from Compact Airborne Spectrographic Imager (CASI) and Hyperion were used for change detection, and the experimental results showed that the proposed method performed better than CC, PCA, and spectral unmixing using N-FINDR. The proposed method has the advantage of automatically extracting endmembers without prior information, and it could be applicable for the real images composed of many materials.

한반도의 일사량 추정을 위한 청천일 모델의 비교 평가

송아람(Ahram Song),최원석(Wonseok Choi),윤창열(Changyeol Yun),김용일(Yongil Kim) 한국측량학회 2015 한국측량학회지 Vol.33 No.5

비트코인 믹싱 프로토콜 현황 조사

송아람(Aram Song),이유정(Yujeong Lee),정다은(Daeun Jeong),박수용(Sooyong Park) 한국정보과학회 2020 한국정보과학회 학술발표논문집 Vol.2020 No.7

박물관 공간에 나타난 현상학적 특성에 관한 연구

송아람(Song, Ah-Ram),김문덕(Kim, Moon-Duck) 한국실내디자인학회 2007 한국실내디자인학회 학술대회논문집 Vol.9 No.3

AISA 초분광 영상에 대한 Endmember 추출 알고리즘의 적용성 분석

송아람 ( Ah Ram Song ),장안진 ( An Jin Chang ),김용일 ( Yong Il Kim ),최재완 ( Jae Wan Choi ) 대한원격탐사학회 2013 大韓遠隔探査學會誌 Vol.29 No.5

분광혼합분석을 효과적으로 수행하기 위한 정확한 endmember의 추출은 반드시 선행되어야할 조건이며, 이를 위한 다양한 endmember 추출 알고리즘들이 개발되었다. 이러한 endmember 추출 알고리즘의 개발 및 적용성을 평가하기 위한 기존의 연구는 대부분 모의 초분광 영상 또는 AVIRIS 영상을 대상으로 진행되었다. 그러나 이러한 영상 자료는 실제 국내에서 획득되고 활용할 수 있는 초분광 영상과 차이를 보일수 있다. 따라서 본 연구에서는 국내에서 취득된 AISA 초분광 영상에 대하여 대표적인 endmember추출 알고리즘을 사용하고, 그 적용성을 평가하였다. 물질의 종류 및 크기에 따른 차이를 분석하기 위하여 인공적으로 설계한 테스트베드를 구축하고, AISA 초분광 영상을 취득하여 실험 자료로 이용하였다. 실험결과, 테스트베드 내 물질과 초기 입력값에 따라 알고리즘별로endmember 추출결과가 다르게 나타났다. 따라서 효과적인 endmember 추출 알고리즘을 적용하기 위해서는 영상을 구성하는 테스트베드 내 물질의 특성 및 최적의 endmember의 개수를 고려해야 할 것이다. Extraction of correct endmembers is prerequisite to successful spectral unmixing analysis. Various endmember extraction algorithms have been proposed and most experiments based on endmember extraction have used synthetic image and AVIRIS image data. However, these data can present different characteristics comparing with hyperspectral images acquired from real domestic environment. For this study, a test-bed was constructed for analysing the difference on diverse substances and sizes in domestic areas, and AISA hyperspectral imagery acquired from the test-bed was tested with two well-known endmember extraction algorithms: IEA, and N-FINDR. The results indicated that two different algorithms depended on the number of endmembers and material types in the test-bed. Therefore, optimized number of endmembers and characteristics of materials in test-bed site should be considered for the effective application of endmember extraction algorithms.

천리안 기상위성을 이용한 한반도 지역의 Linke turbidity 및 청천일사량 추정

송아람(Ahram Song),최강혁(Kanghyeok Choi),정민경(Minkyung Jung),김용일(Yongil Kim) 한국신재생에너지학회 2016 신재생에너지 Vol.12 No.S2

An estimation of the clear sky irradiance is a crucial part of satellite based methods because it is employed to calculate the clear sky index. Although the accuracy of the clear sky irradiance depends on the AOD (Aerosol Optical Depth) and TPW (Total Precipitable Water) mixing ratio, data are difficult to acquire in real time. The Linke turbidity factor simplifies the data as a unique parameter that describes the attenuation of solar radiation in terms of a clean and dry atmosphere. SoDa provides the Linke turbidity maps all over the world, but those maps have low spatial and temporal resolutions. To estimate the clear sky irradiance over the Korean Peninsula using satellite images, this paper presents a method to estimate the Linke turbidity factor using COMS MI, which is operated by the Korea Meteorological Administration, and the clear sky irradiance using the ESRA clear sky model. The AOD and the TPW derived from COMS MI were also used to calculate the Linke turbidity. Overall, the results show that the Linke turbidity factor calculated from COMS MI has higher accuracy than that calculated using the SoDa data.

리기다소나무와 낙엽송 인공림의 지역 및 임령에 따른 토양 특성

양아람 ( A Ram Yang ),황재홍 ( Jae Hong Hwang ),조민석 ( Min Seok Cho ),송선화 ( Sun Wha Song ) 한국산림과학회 2013 한국산림과학회지 Vol.102 No.4

This study was performed in Pinus rigida and Larix kaempferi plantations which occupy approximately 60% of artificial forest area in Korea. The objective of this study was to know the differences in soil physical and chemical properties between both plantations. Soil physical and chemical properties from published literature and analyzed soil data in national forest in 2010 and 2011 were analyzed by plantation regions and stand age of 5 years unit. Jeollanamdo in Pinus rigida plantations and Gyeongsangbuk-do in Larix kaempferi plantations showed higher soil chemical properties than those of other regions. Soil texture in both plantations was almost loam and sandy loam. Mean soil pH in Pinus rigida and Larix kaempferi plantations were 4.86 and 4.87, respectively and there was no relationship between soil pH and stand age. The mean concentrations of total nitrogen (%) and available phosphorus (mg kg-1) were 0.21 and 11.00 for Pinus rigida plantation and 0.28 and 13.32 for Larix kaempferi plantation. In Larix kaempferi plantation, total nitrogen, available phosphorus and organic matter concentrations and C.E.C. were higher than those in Pinus rigida plantation and showed positive relationship with stand age. This positive relationship was also revealed between the exchangeable cations and soil pH. The results of this study provide an informative data in selecting tree species for planting and contribute to the establishing forest management plan for the maintenance of sustainable forests resources.

핵 활동 탐지 및 감시를 위한 딥러닝 기반 의미론적 분할을 활용한 변화 탐지

송아람,이창희,이진민,한유경,Song, Ahram,Lee, Changhui,Lee, Jinmin,Han, Youkyung 대한원격탐사학회 2022 大韓遠隔探査學會誌 Vol.38 No.6

Satellite imaging is an effective supplementary data source for detecting and verifying nuclear activity. It is also highly beneficial in regions with limited access and information, such as nuclear installations. Time series analysis, in particular, can identify the process of preparing for the conduction of a nuclear experiment, such as relocating equipment or changing facilities. Differences in the semantic segmentation findings of time series photos were employed in this work to detect changes in meaningful items connected to nuclear activity. Building, road, and small object datasets made of KOMPSAT 3/3A photos given by AIHub were used to train deep learning models such as U-Net, PSPNet, and Attention U-Net. To pick relevant models for targets, many model parameters were adjusted. The final change detection was carried out by including object information into the first change detection, which was obtained as the difference in semantic segmentation findings. The experiment findings demonstrated that the suggested approach could effectively identify altered pixels. Although the suggested approach is dependent on the accuracy of semantic segmentation findings, it is envisaged that as the dataset for the region of interest grows in the future, so will the relevant scope of the proposed method.

개방형 다중 데이터셋을 활용한 Combined Segmentation Network 기반 드론 영상의 의미론적 분할

송아람,Ahram Song 대한원격탐사학회 2023 大韓遠隔探査學會誌 Vol.39 No.5

This study proposed and validated a combined segmentation network (CSN) designed to effectively train on multiple drone image datasets and enhance the accuracy of semantic segmentation. CSN shares the entire encoding domain to accommodate the diversity of three drone datasets, while the decoding domains are trained independently. During training, the segmentation accuracy of CSN was lower compared to U-Net and the pyramid scene parsing network (PSPNet) on single datasets because it considers loss values for all dataset simultaneously. However, when applied to domestic autonomous drone images, CSN demonstrated the ability to classify pixels into appropriate classes without requiring additional training, outperforming PSPNet. This research suggests that CSN can serve as a valuable tool for effectively training on diverse drone image datasets and improving object recognition accuracy in new regions.