• 디지털융복합연구
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• 제16권2호
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• pp.215-224
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• 2018

본 연구는 간호대학생을 대상으로 간호사이미지, 자아존중감, 전공만족도 및 진로정체감을 파악하고 이들 간의 관계를 확인하기 위한 서술적 조사연구이다. 간호 대학생 410명을 대상으로 조사를 수행하였으며, 수집된 자료는 SPSS 20.0을 이용하여 t-test, ANOVA, Pearson's Correlation, 다중회귀분석(multiple lineat regression)분석하였다. 연구결과는 간호사이미지는 5점 만점에 3.82점, 자아존중감은 4점 만점에 2.64점, 전공만족도는 5점 만점에 3.76점, 전로정체감은 4점 만점에 2.59점으로 나타났으며, 변수간의 정적인 상관관계를 보였다. 그리고 간호사이미지에 자아존중감, 전공만족도 및 진로정체감이 유의한 영향을 미치며, 33.2%의 설명력을 가지는 것으로 나타났다. 본 연구결과를 따르면 간호대학생들은 자아존중감, 전공만족도, 진로정체감이 간호사이미지에 영향을 미치는 것으로 볼 때 긍정적인 자아존중감, 간호학의 전공만족도, 간호전문직인 진로정체감을 향상 및 개선하는 다양한 프로그램 개발 및 효과검증을 위한 연구를 제언한다.

• Journal of Preventive Medicine and Public Health
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• 제36권2호
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• pp.125-130
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• 2003

Objectives : This study evaluated the stress of community residents using the General Health Questionnaire, GHQ-60, as an instrument of stress measurement. Methods : The study included 2100 residents, aged 20 and over, living in three areas, a large city, a medium sized city and a rural area, between June and September 2001. A questionnaire interviewing method was used to collect data. The data were analyzed using a t-test, ANOVA, Pearson's correlation coefficients and multiple regression analysis. Results : In this study, the degree of stress, as measured by the GHQ-60, was shown to be significantly higher in the following categories: females, people over 60 years old, people engaged in the primary industries and labor work, low incomes, the divorced and the bereaved, people who received no more than an elementary education, people who suffer from chronic diseases and non-exercisers. A factor analysis suggested that there were three factors of social dysfunction factors; psychosomatic symptom, and depression and anxiety, The social dysfunction factors was statistically significant for the groups described above. The factor of psychosomatic symptoms was statistically significant in the rural residents, and in the groups describedabove. The depression and anxiety factor was statistically significant in the large city residents, people aged between 20-29 years, students, unmarried persons, university graduates and those having suffered from chronic diseases. From the multiple linear regression analyses, chronic disease, exercise, gender and income, proved to be significant stress related factors Conclusions : This study suggests that special attention should be given to the management of the chronic invalided, non-exercisers, females and snail income earners, in order to maintain and promote the psychological health of residents in a community.

• Computers and Concrete
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• 제31권2호
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• pp.85-95
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• 2023

Natural pozzolans are used as additives in cement to develop more durable and high-performance concrete. Pozzolanic activity index (PAI) is important for assessing the performance of a pozzolan as a binding material and has an important effect on the compressive strength, permeability, and chemical durability of concrete mixtures. However, the determining of the 28 days (short term) and 90 days (long term) PAI of concrete mixtures is a time-consuming process. In this study, to reduce extensive experimental work, it is aimed to predict the short term and long term PAIs as a function of the chemical compositions of various natural pozzolans. For this purpose, the chemical compositions of various natural pozzolans from Central Anatolia were determined with X-ray fluorescence spectroscopy. The mortar samples were prepared with the natural pozzolans and then, the short term and the long term PAIs were calculated based on compressive strength method. The effect of the natural pozzolans' chemical compositions on the short term and the long term PAIs were evaluated and the PAIs were predicted by using multiple linear regression (MLR) and adaptive neuro-fuzzy inference system (ANFIS) model. The prediction model results show that both reactive SiO₂ and SiO₂+Al₂O₃+Fe₂O₃ contents are the most effective parameters on PAI. According to the performance of prediction models determined with metrics such as root mean squared error (RMSE) and coefficient of correlation (R²), ANFIS models are more feasible than the multiple regression model in predicting the 28 days and 90 days pozzolanic activity. Estimation of PAIs based on the chemical component of natural pozzolana with high-performance prediction models is going to make an important contribution to material engineering applications in terms of selection of favorable natural pozzolana and saving time from tedious test processes.

• 한국정보과학회논문지:소프트웨어및응용
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• 제31권1호
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• pp.54-60
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• 2004

얼굴인식은 외관기반(appearance-based) 매칭기법으로 풀어야 할 문제 중의 하나이다. 그러나, 얼굴영상의 외관은 조명 변화에 매우 민감하다. 얼굴인식 성능을 향상시키기 위해서는 다양한 조명 아래에서 다양한 학습 데이타를 수집해야 하나, 실제로는 데이타 수집이 용이하지 않다. 따라서, 성능향상을 위해서 다양한 데이타를 학습시키는 것 보다 다양한 조건의 데이타를 정규화 하는 기법에 주목하는 것이 바람직하다. 본 논문에서는 방향성 조명 아래에서 취득한 얼굴영상을 정규화 할 수 있는 간단한 방법을 제안한다. 조명 문제는 얼굴인식 시스템에서 오류를 일으키는 가장 중요한 요인중 하나이다. 제안하는 방법을 ICR(illumination Compensation based on Multiple Linear Regression)이라 명명하였다. 본 방법에서는 다중회귀분석 모델을 사용하여 얼굴영상의 화소 밝기 갈 분포에 가장 잘 맞는 평면을 찾은 후 이 평면을 이용하여 얼굴영상을 정규화 한다. 제안하는 방법의 장점은 간단하고 실용적이며, 얼굴영상의 밝기 값 분포에 대한 평면 근사가 선형모델에 의해 수학적으로 정의된다는 점이다. 얼굴인식에서 제안하는 방법의 성능 향상을 보여주기 위해 공개 및 자체 구축 데이타 베이스에 대한 실험 결과를 제시한다. 실험 결과 두드러진 얼굴인식 성능 향상을 보여주었다.

• 대한정형외과 초음파학회지
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• 제7권1호
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• pp.28-32
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• 2014

목적: 슬관절 이하 부위의 정형외과적 수술을 위해 좌골 신경 차단 술기가 흔히 시행되고 있다. 좌골 신경 분지는 해부학적 차이가 있어 통상적인 신경 차단은 불완전한 신경 차단을 유발한다. 본 연구는 마취의 성공율을 개선하기 위하여 한국 여성에서 좌골 신경 분지 위치를 초음파를 이용해 확인하였다. 대상 및 방법: 한국 여성 33명을 대상으로 하였으며 체중, 키를 측정하였다. 초음파 측정을 위해 M-Turbo ultrasound system (SonoSite,Bothell, WA,USA) 13-6 MHz, 38 mm high frequency linear array transducer를 사용하였다. 복와위 자세에서 슬와 주름부터 분지부까지의 거리, 분지부에서 피부부터 신경까지의 깊이를 cm 단위로 측정하여 체중과 키와의 상관관계를 확인하였다. 측정은 한 명의 전문의에 의해 측정되었다. 통계는 SAS version 9.3를 사용하여 multiple linear regression 방법으로 분석하였다. 결과: 33명 여성의 평균 나이는 53세(34~71세), 평균 체중 59.7(50~77.1 kg), 평균 키 157.4(145~173.9 cm), 평균 BMI 24.1(18.4-28.9)였다. 슬와 주름에서 좌골 신경 분지부까지의 평균 거리는 5.7(4.5~7.5 cm)이였으며, 분지부에서 피부부터 신경까지의 평균 깊이는 2.4(1.8~3.2 cm)였으며, 통계적 분석 결과에서 거리와 키 조사 p-value 0.55, 거리와 몸무게 조사 p-value 0.34, 깊이와 키 조사 p-value 0.5, 깊이와 몸무게 조사 p-value 0.036 이였다. 결론: 한국 여성의 좌골 신경 분지 위치는 차이가 있었으며, 특히 몸무게에 따른 깊이 변화는 의미가 있었다. 한국 여성에서 좌골 신경 차단 술기를 시행할 때 평균 거리, 깊이를 생각하고 몸무게를 고려한다면 성공율이 증가할 것으로 생각되며, 슬와 주름 7.5 cm 상방에서 시행할 것을 추천하다.

• 한국대기환경학회지
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• 제10권4호
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• pp.224-232
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• 1994

A new neural network model has been developed to predict short-term air pollution concentration. In addition, a multiple regression model widely used in statistical analysis was tested. These models were applied for prediction of daily maximum ozone concentration in Seoul during the summer season of 1991. The time periods between May and September 1989 and 1990 were utilized to train set of learning patterns in neural network model, and to estimate multiple regression model. To evaluate the results of the different models, several Performance indices were used. The results indicated that the multiple regression model tended to underpredict the daily maximum ozone concentration with small r$^{2}$(0.38). Also, large errors were found in this model; 21.1 ppb for RMSE, 0.324 for NMSE, and -0.164 for MRE. On the other hand, the results obtained from the neural network model were very promising. Thus, we can know that this model has a prominent efficiency in the adaptive control for the non-linear multi- variable systems such as photochemical oxidants. Also, when the recent new information was added in the neural network model, prediction accuracy was increased. From the new model, the values of RMSE, NMSE and r$^{2}$ were 13.2ppb, 0.089, 0.003 and 0.55 respectively.

• Bulletin of the Korean Chemical Society
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• 제33권5호
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• pp.1703-1706
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• 2012

Rice blast is the most serious disease of rice due to its harmfulness and its world wide distribution. $Magnaporthe$ $grisea$ is the cause of rice blast disease and destroys rice enough to feed several tens of millions of people each year. Fungicides are commonly used to control rice blast. But $M.$ $grisea$ acquires resistance to chemical treatments by genetic mutations. 2-Phenylimino-1,3-thiazolines were proposed as a novel class of fungicides against $M.$ $grisea$ in the previous study. To develop compounds with a higher biological activity, a new series of 2-phenylimino-1,3-thiazolines was synthesized and its fungicidal activity was determined against $M.$ $grisea$. The QSAR analysis was carried out on a series of 2-phenylimino-1,3-thiazolines. The QSAR results showed the dependence of fungicidal activity on the structural and physicochemical features of 2-phenylimino-1,3-thiazolines. Our results could be used as guidelines for the study of the mode of action and further design of optimal fungicides.

• 성인간호학회지
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• 제27권1호
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• pp.52-62
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• 2015

Purpose: The purpose of this study was to examine the relationships between frailty, nutritional status, positive thinking, family function, and health conservation and to identify the factors influencing health conservation of the elderly at home. Methods: The research design was a descriptive survey using a convenience sampling. Data were collected from 142 elders using self-reported questionnaires. Data were analyzed using the SPSS/WIN 20.0 program for descriptive statistics, Pearson's correlation coefficients, and multiple linear regression. Results: The average health conservation score was 98.85. There were significant correlations between frailty, nutritional status, positive thinking, family function and health conservation. As a result of the multiple linear regression analysis, positive thinking, perceived health status, spouse and frailty accounted for 69% of the variance in health conservation of the elderly at home. Conclusion: These influencing factors on health conservation can be taken into account in the development of nursing intervention programs for improving health conservation of the elderly at home.

• 한국산학기술학회논문지
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• 제16권7호
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• pp.4459-4466
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• 2015

본 연구는 간호대학생의 대학생활 적응에 영향을 미치는 요인을 파악하기 위한 서술적 조사연구이다. 연구대상자는 간호대학에 재학 중인 학생 333명으로, 정서지능, 완벽주의적 자기제시, 임상실습 스트레스 정도를 설문지로 측정하였다. 자료수집기간은 2014년 10월 20일부터 12월 8일까지이었다. 수집된 자료는 t-test, one way ANOVA, Pearson correlation coefficient, multiple linear regression analysis로 분석하였다. 연구결과, 대학생활 적응에 영향을 미치는 요인은 정서지능, 종교, 완벽주의적 자기제시였으며, 모델의 설명력은 27.2%였다. 본 연구의 결과를 토대로 대학생활 적응을 위해서는 정서지능을 향상시킬 수 있는 교육전략을 개발하여 적용하는 것이 필요하다고 제언한다.

• Journal of Positioning, Navigation, and Timing
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• 제4권2호
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• pp.79-85
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• 2015

Existing Differential GPS (DGPS) pseudorange correction (PRC) generation techniques based on a virtual reference station cannot effectively assign a weighting factor if the baseline distance between a user and a reference station is not long enough. In this study, a virtual reference station DGPS PRC generation technique was developed based on an enhanced inverse distance weighting method using an exponential function that can maximize a small baseline distance difference due to the dense arrangement of DGPS reference stations in South Korea, and its positioning performance was validated. For the performance verification, the performance of the model developed in this study (EIDW) was compared with those of typical inverse distance weighting (IDW), first- and second-order multiple linear regression analyses (Planar 1 and 2), the model of Abousalem (1996) (Ab_EXP), and the model of Kim (2013) (Kim_EXP). The model developed in the present study had a horizontal accuracy of 53 cm, and the positioning based on the second-order multiple linear regression analysis that showed the highest positioning accuracy among the existing models had a horizontal accuracy of 51 cm, indicating that they have similar levels of performance. Also, when positioning was performed using five reference stations, the horizontal accuracy of the developed model improved by 8 ~ 42% compared to those of the existing models. In particular, the bias was improved by up to 27 cm.