• 한국미생물·생명공학회지
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• 제31권4호
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• pp.395-399
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• 2003

본 연구에서는 S. hindustanus ATCC 31218로부터 선별된 변이주를 사용하여 배양조건이 nebramycin 주요 생산물인 factor 2, factor 4, factor 5', kanamycin A 등의 구성비율과 역가에 미치는 영향을 조사하였다. 실험결과, nebramycin의 factor들이 구성비율은 온도 및 배지보다는 배양액량, 교반속도 등에 의해 크게 영향을 받는 것으로 나타났다. 따라서 플라스크와 발효조의 산소전달속도를 각각 측정하여 factor 5' 생산의 최적 산소전달조건을 검토한 결과, $0.50 mMO_2$/min으로 배양시 factor 5'의 역가가 가장 높았으며 구성비율도 70% 이상을 나타내었다. 한편 $0.9 mMO_2$/min 이상으로 배양시는 factor 2의 역가와 구성비율이 현저히 감소한 반면 factor 2의 역가와 구성비율이 급격히 증가하였다. 한편 본 연구에 사용된 변이주 S. hindustanus YHT-0001는 factor 5'의 역가는 16.4배, factor 5'구성비율은 약 11% 향상된 균주로 확인되었다. S. hindustanus 발효시 공급되는 산소량은 단지 hydroxyl기와 아미노기의 존재유무에 따라 구조가 결정되는 factor 5', factor 4, kanamycin A의 hydroxyl기 생성을 위한 산소공여자로 역할뿐 만 아니라 배당체 구조에 차이를 보이는 apramycin 생합성과정에 영향을 크게 준다고 사료되었다.

• 한국실내디자인학회논문집
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• 제17호
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• pp.60-64
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• 1998

The results of simulation on greenery ratio using CG are as follows: arrangement type of optimal condition and greenery ratio were summarized as below as dispersion type and 5% ratio greenery for 20 pairs of assessment items and these assessment items were classified into 5 factors as a result of factor analysis,. These factors were Harmony Animation Atmosphere texture Peculiarity. Verification results of factors differences according to each condition can be. there was no apparent difference among factors in accordance with gender, In case of arrangement type dispersion type was higher than concentration type in all factors. Based on the above results dispersion type was assessed higher than concentration type the most suitable condition of Harmony Factor was 5% dispersion type Animation Factor was 5% dispersion type Animation Factor was 7% dispersion type Atmosphere Factor was 10% dispersion type Texture Factor was 5% concentration type and $\ulcorner$Peculiarity Factor$\lrcorner$was 7% concentration type.

• Bulletin of the Korean Chemical Society
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• 제35권5호
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• pp.1365-1374
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• 2014

Thirteen analogs of tridecapeptide ${\alpha}$-factor (WHWLQLKPGQPMY) of Saccharomyces cerevisiae with C- or N-terminal Trp extension and isosteric replacement by Aib at position 8 and 11, Trp at position 13, D-Ala at position 9, and Orn and Glu at position 6 were synthesized and assayed for their biological activity. Receptor binding assay was carried out using our newly developed spectrophotometric method with detector peptide 14. C- or N-terminal extended analogs, ${\alpha}$-factor-$[Trp]_n$ (n =1-5) 1-5 and $[N-Trp]_1$-${\alpha}$-factor 6, were all less active than native ${\alpha}$-factor and gradual decreases in both activity and receptor affinity were observed with greater Trp extension. Trp-substituted analog at position 13, $[Trp^{13}]{\alpha}$-factor 7, exhibited about 2-fold reductions in both activity and receptor affinity. Aib-substituted analogs, $[Aib^8]{\alpha}$-factor 8 and $[Aib^{11}]{\alpha}$-factor 9, showed 5- to 10-fold reduction in activity as well as 3-fold reduction in receptor affinity compared to native ${\alpha}$-factor. $[Orn^6]{\alpha}$-factor 10 demonstrated strong potency with a 7.0-fold increase in halo activity as well as 1.8-fold increase in receptor affinity compared to native ${\alpha}$-factor. For two double substituted analogs, [$Glu^6,{\small{D}}-Ala^9$]${\alpha}$-factor 12 showed the slightly decreased potency in halo activity compared to analog 10, whereas [$Orn^6,{\small{D}}-Ala^9$]${\alpha}$-factor 11 exhibited 15-fold higher halo activity as well as nearly 3-fold higher receptor affinity compared to native ${\alpha}$-factor.

• 한국화재소방학회논문지
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• 제32권5호
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• pp.34-39
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• 2018

본 연구에서는 구획 공간 화재 시 발열량이 급격히 변하는 조건에서 스프링클러헤드의 손실인자 변화에 따른 작동시간을 분석하였다. 이를 위해서 내화보드로 구성된 구획 공간의 크기가 폭 0.3 m, 세로 0.5 m, 길이 3.0 m인 구조물을 제작하고 헵탄(n-Heptane) 풀 화재 실험을 수행하여 구획 공간 내부의 온도 분포, 헵탄의 질량감소율 그리고 발열량을 산출하였다. 또한, Fire Dynamics Simulator (FDS) Version 6.5를 사용하여 실험 조건과 동일한 발열량을 가정하고 스프링클러헤드의 설치위치 및 손실인자(C-factor) 변화에 따른 작동 시간을 분석하였다. 그 결과 반응시간지수(Response Time Index, RTI)가 $100(m{\cdot}s)^{0.5}$이고 작동온도가 $72^{\circ}C$인 스프링클러는 화원 상층부의 기류 온도가 $100^{\circ}C$에서 $300^{\circ}C$로 상승하고, 기류의 속도가 약 0.7 m/s인 경우 C-factor = 0과 1일 때 스프링클러의 작동시간은 최소 30 s~60 s, C-factor = 3일 때 62 s에서 최대 92 s, C-factor = 5일 때 120 s 이상으로 나타났다.

• 한국의류산업학회지
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• 제12권5호
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• pp.626-632
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• 2010

The results of the image evaluations by various shapes of skirts which are typical female's lower garment were as follows; 1. The composition factors of images by the shapes of skirts were classified into five factors. The 1st factor is lovely image factor, the 2nd is attractive image factor, the 3rd is practical image factor, the 4th is slim-looking image factor and the 5th is long-looking image factor. 2. In the 1st factor- lovely image factor, tiered skirt, $360^{\circ}$ flared skirt and $180^{\circ}$ flared skirt were evaluated to express lovely images. In the 2nd factor- attractive image factor, $180^{\circ}$ flared skirt was evaluated to express refine and attractive images. In the 3rd factor- practical image factor, $360^{\circ}$ flared skirt and gathered skirt were evaluated to express easy and practical images. In the 4th factor- slim looking image factor, males evaluated 8gored skirt and females evaluated gathered skirt to express fat images. In the 5th factor- long looking image, $180^{\circ}$ flared skirt was evaluated to express long looking images by both sexes. 3. In the lovely image factor, gathered skirt was evaluated most differently between the sexes. Both in the attractive and practical image factor, tiered skirt was evaluated most differently between the sexes. 4. In the preference of male and female university students according to the shapes of skirts, both the sexes prefered flared skirt. But the low prefered shapes of skirts were differently evaluated between the sexes; the male students' was A-lined skirt and the female's was pleated skirt and wrap skirt.

• 한국의류학회지
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• 제31권11호
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• pp.1487-1499
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• 2007

In this study, photographs of 600 Korean females aged from 20 to 50years old were indirectly measured in Venus face 2D program. The measurements were analyzed by statistical methods. The purpose of this study was to differentiate the facial types of adult women for the beauty industry. As a result of factor analysis, 6 factors were selected the key factors of facial shape: head height(factor 1), head width(factor 2), side face width(factor 3), head width and circumference(factor 4), face length(factor 5), and side face width(factor 6). We categorized facial type into 5 groups with the previous 6 factor. 5 types were most common facial shapes: Oblong face(type 1), Square face(type 2), Oval face(type 3), Round face(type 4), Triangle face(type 5). The results of facial type analysis were showed that Round face(26.6%), Triangle face(25.3%), Oval face(22.3%), Square face(20.0%), Oblong face(5.7%).

• 산경연구논집
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• 제10권5호
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• pp.7-20
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• 2019

Purpose - This study provides appropriate procedures for EFA to help researchers conduct empirical studies by using PLS-SEM. Research design, data, and methodology - This study addresses the absolute and relative sample size criteria, sampling adequacy, factor extraction models, factor rotation methods, the criterion for the number of factors to retain, interpretation of results, and reporting information. Results - The factor analysis procedure for PLS-SEM consists of the following five stages. First, it is important to look at whether both the Bartlett test of sphericity and the KMO MSA meet the qualitative criteria. Second, PAF is a better choice of methodology. Third, an oblique technique is a suitable method for PLS-SEM. Fourth, a combined approach is strongly recommended to factor retention. PA should be used at the onset. Next, it is recommended using the K1 criterion. In addition, it is necessary to extract factors that increase the total variance explanatory power through the PVA-FS. Finally, it is appropriate to select an item with a factor loading into 0.5 or higher and a communality of 0.5. Conclusions - It is expected that the accurate factor analysis processed for PLS-SEM as previously presented will help us extract more precise factors of the structural model.

• 한국의류학회지
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• 제34권6호
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• pp.937-954
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• 2010

This study analyzes the body characteristics of Korean obese women using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen from previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects for this study. 54 body measurements and obesity judgment indices were used. First, the subjects had a BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, and WHR 0.90. In the case of the distribution by age groups, the twenties were 6.4% of the entire subjects, the thirties were 18.2%, the forties were 16.4%, the fifties were 37.4%, and the sixties were 21.5%. The result of the ANOVAs (divided into 5 age groups) showed significant differences in 41 measurement items except for bust circumference, waist length front, and all of obesity judgment indices. Second, according to the ANOVAs among stature groups divided by 5cm pitches there are significant differences in all measurements except for bust circumference. The results of the ANOVAs among bust circumference groups divided by 5cm pitches show that significant differences were observed in all measurements except four measurement items (including body rise). According to the ANOVAs among the waist circumference groups divided by 5cm pitches, there are no significant differences in all height measurements and shoulder length, waist to hip length, and crotch length. It is confirmed that stature and bust circumference have a deep relationship with measurements other than waist circumference. Third, as the factor analysis were conducted using 39 measurement items to extract the body characteristics of obese women Factor 1 is "circumference measurements & obesity judgment indices," Factor 2 is "heights & arm-related lengths," and Factor 3 is "size and ratio of waist circumference & hip circumference." Factor 4 was "lengths in upper body," Factor 5 was "back width in upper body," Factor 6 was "side neck point to bust & bust circumference," Factor 7 was "length in lower body & arm circumferences," and Factor 8 was "neck base circumference & front widths in upper body." These 8 factors explained 76.54% of the total variance.

• 한국식품조리과학회지
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• 제20권3호
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• pp.299-309
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• 2004

This study investigated the degree of expectation and satisfaction with internship program of undergraduates majoring in culinary studies, and suggested improvements in satisfaction for training programs. Differences between expectation and satisfaction were significant in all 21 items including pay for internship program, rest spaces, and break time during working. Expectation questions were extracted to five factors. Factor 1 circumstances of kitchen Factor 2 staff's ability and attitude Factor 3 working environment Factor 4 working hours and pay and Factor 5 rotation, period, and placement of jobs. Five factors were also obtained from factor analysis of satisfaction. Factor 1 working hours and rest Factor 2 staff's attitude and pay Factor 3 facilities and sanitation Factor 4 circumstances of kitchen and Factor 5 period and placement of jobs. Overall satisfaction values showed significant differences depending on gender, school-year system, grade, age, and school. The working hours and rest factor had the most significant influence on the overall satisfaction with internship program of undergraduates majoring in culinary studies.

• 한국도로학회논문집
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• 제13권4호
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• pp.211-220
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• 2011

최근 대중교통지향형개발(TOD)이 활발해지며, 역세권의 환경 변화를 통하여 국내의 대중교통 이용 증진을 시키기 위해서는 TOD 통합계획요소를 종합적으로 고려한 역세권 유형과 이용수요에 관한 실증분석이 전제되어야 향후 계획수립시 활용이 가능 할 것이다. 본 연구는 서울시 역세권을 대상으로 다양한 TOD 영향요인을 파악하고, 대중교통 이용수요와 연관성을 규명하기 위한 실증분석을 진행하였다. TOD의 대표적 요소인 Density, Diversity, Accessibility에 대한 자료를 수집하고, 요인분석과 회귀모형을 구축하였다. 분석결과 (1) 요인분석을 토대로 7개 영향요인이 도출되었으며, Factor 1(Diversity/토지이용복합도 (LUM)), Factor 2(Density/개발밀도수준), Factor 3(Accessibility/대중교통시설공급수준), Factor 4(Design/가로설계수준), Factor 5(Green/연계교통시설(보행자, 자전거), Factor 6(Design/지하철시설규모), Factor 7(Accessibility/대중교통운영수준)로 유형화되었다. (2) 요인-회귀분석 결과를 토대로 역세권 승하차 인원에 긍정적(+) 영향을 미치는 주요 요인은 Factor 1(Diversity : 토지이용복합도(LUM) 요인), Factor 3(Accessibility : 대중교통시설공급수준), Factor 2(Density : 개발밀도수준), Factor 5(Design/연계교통시설(보행자, 자전거), Factor 6(지하철시설규모)로 나타났다. 다음으로 역세권의 승하차 인원에 부정적(-) 영향은 Factor 7(Accessibility/대중교통운영수준)로 나타났으며, 가장 높은 영향력을 가지는 것으로 나타났다. 이는 지하철과 버스의 배차간격이 증가할 경우 이용수요가 감소하기 때문이다.