http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
데이터 탐색을 활용한 딥러닝 기반 제천 지역 산사태 취약성 분석
안상아,이정현,박혁진 대한지질공학회 2023 지질공학 Vol.33 No.4
데이터 탐색은 수집한 데이터를 다양한 각도에서 관찰 및 이해하는 과정으로 데이터 구조 및 특성 분석을 통해 데이터의 분포와 상관관계를 파악하는 과정이다. 일반적으로 산사태는 다양한 인자들에 의해 유발되고 발생 지역에 따라 유발 인자들이 미치는 영향이 상이하기 때문에 산사태 취약성 분석 이전에 데이터 탐색을 통해 유발 인자 사이의상관관계를 파악하고 특징적인 유발 인자를 선별한다면 효과적인 분석을 수행할 수 있다. 따라서 본 연구는 데이터 탐색이 예측 모델의 성능에 미치는 결과를 확인하기 위해 두 단계에 걸친 데이터 탐색을 수행하여 인자를 선별하고, 선별된 유발 인자들 사이의 조합과 23개의 전체 유발 인자 조합을 활용하여 딥러닝 기반의 산사태 취약성 분석을 진행하였다. 데이터 탐색 과정에서는 Pearson 상관계수 heat map과 random forest의 인자 중요도 histogram을 활용하였으며, 딥러닝 기반 산사태 취약성 분석 결과의 정확도는 분석을 통해 획득한 산사태 취약 지수 값을 이용해 제작한 산사태 취약성 지도를 confusion matrix 기반의 정확도 검증 방법을 통해 분석하였다. 분석 결과, 전체 23개의 인자를 사용한 산사태 취약성 해석 결과는 55.90%의 낮은 정확도를 보였지만 한 단계의 탐색을 거쳐 선별한 13개 인자를 활용한 취약성 해석 결과는81.25%의 분석 정확도를 보였고, 두 단계 데이터 탐색을 모두 수행하여 선별된 9개의 유발 인자를 활용한 산사태 취약성 분석 결과는 92.80% 로 가장 높은 정확도를 보였다. 따라서 데이터 탐색을 통해 특징적인 유발 인자를 선별하고 분석에 활용하는 것이 산사태 취약성 분석에서 더좋은 분석 성능을 기대할 수 있음을 확인하였다. Exploratory data analysis is the process of observing and understanding data collected from various sources to identify their distributions and correlations through their structures and characterization. This process can be used to identify correlations among conditioning factors and select the most effective factors for analysis. This can help the assessment of landslide susceptibility, because landslides are usually triggered by multiple factors, and the impacts of these factors vary by region. This study compared two stages of exploratory data analysis to examine the impact of the data exploration procedure on the landslide prediction model’s performance with respect to factor selection. Deeplearning-based landslide susceptibility analysis used either a combinations of selected factors or all 23 factors. During the data exploration phase, we used a Pearson correlation coefficient heat map and a histogram of random forest feature importance. We then assessed the accuracy of our deep-learningbased analysis of landslide susceptibility using a confusion matrix. Finally, a landslide susceptibility map was generated using the landslide susceptibility index derived from the proposed analysis. The analysis revealed that using all 23 factors resulted in low accuracy (55.90%), but using the 13 factors selected in one step of exploration improved the accuracy to 81.25%. This was further improved to 92.80% using only the nine conditioning factors selected during both steps of the data exploration. Therefore, exploratory data analysis selected the conditioning factors most suitable for landslide susceptibility analysis and thereby improving the performance of the analysis.
국내 여성복 브랜드의 패션필름 유형에 따른 소비자 인식차이
안상아 ( Sang Ah Ahn ),신미혜 ( Mi Hye Shin ),이현화 ( Hyun-hwa Lee ) 한국의류학회 2015 한국의류학회지 Vol.39 No.4
This research investigates consumer responses to different types of fashion film used in national women`s wear brands. The content analysis was conducted as a preliminary study for women`s wear fashion brand based on the 2012/2013 fashion brand yearbook. Three types of fashion film (Wearing Apparel Products, Brand Advertising and Storytelling were used as stimuli for the present study. We analyzed 224 data gathered using SPSS 22.0. The results showed significant differences among types of fashion film in regards to film attitude, product evaluation, creativity, information literacy, re-watching intention and word of mouth intention variables. This study revealed that the Brand Advertising type received the most positive evaluation in many aspects. Especially, the Storytelling type received the most positive evaluation in creativity. Wearing Apparel Products type gained high points in information literacy. The present study helps brand managers determine a fashion film that best suits each brand characteristics.
중년 남성의 갱년기 증상 유・무에 따른 가족관계와 건강증진행위 비교
강민형,김소영,김하은,안상아,양혜지,이예지,이유진,정수영,최윤영,최지윤,신수진,이민경 이화여자대학교 간호과학대학 2017 이화간호학회지 Vol.- No.51
Purpose: The purpose of this study was to examine the difference of family relationship and health promoting behaviors between two groups depending on presence and absence of climacteric symptoms among middle-aged male. Methods: Samples of 220 men aged between 40 and 64 were recruited from metropolitan areas. The subjects responded to self-report questionnaires on general characteristics, climacteric symptoms, family relationship and health promoting behaviors. Data was collected from September 13, 2016 to September 30, 2016 and analyzed by using t-test, Pearson's correlation efficient, -test, frequency and percentage analysis. Result: In general characteristics of subjects, according to the presence or absence of climacteric symptoms, there were significant differences in occupation( =12.12, p=0.02), average monthly incom ( =11.01, p=0.01), and physical condition( =12.07, p=0.02). Mean scores of family relationship(t=-2.784, p=.008) and health promotion behaviors(t=3.629, p=.000) were significantly higher in climacteric symptom group. Significant positive correlation appeared between family relationship and health promoting behaviors in both presence(r=.493, p=.000) and absence group(r=.698, p=.000). But climacteric symptoms were in negative correlation with family relationship(r=-.187, p=.018) and health promoting behavior(r=-.233, p=.002) only in presence group. Conclusion: This study suggests that family relationship and health promoting behaviors should be considered in developing nursing intervention for climacteric middle–aged males.