• 한국간호교육학회지
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• 제23권4호
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• pp.378-388
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• 2017

Purpose: The aim of this study was to identify the status of performance on standard precautions among nursing students and to examine the mediating effects of internal health locus of control on the relationship between awareness and performance on standard precautions of hospital-acquired infection control. Methods: The participants in this study were 134 nursing students. The measurements included a standard precautions awareness and performance scale, and a multidimensional health locus of control scale. Data were analyzed using independent t-test, one-way ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficient, and simple and multiple regression techniques. Mediation analysis was performed by the Baron and Kenny's method and Sobel test. Results: The mean score of standard awareness, standard performance, and internal health locus of control about standard precaution were $174.30{\pm}9.08$; $169.48{\pm}12.04$; and $20.43{\pm}2.82$; respectively. There was a positive correlation between standard awareness and performance (r=.414, p<.001). Also, standard awareness was significantly correlated with internal health locus of control (r=.413, p=.014). Internal health locus of control showed partial mediating effects in the relationship between awareness and performance. Conclusion: The results indicate a need to improve the internal health locus of control of nursing students. Therefore, an internal health locus of control improvement program should improve performance on standard precautions for patients and themselves.

• 전기학회논문지
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• 제59권2호
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• pp.436-444
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• 2010

In this study, we introduce and discuss a concept of a granular-oriented radial basis function neural networks (GRBF NNs). In contrast to the typical architectures encountered in radial basis function neural networks(RBF NNs), our main objective is to develop a design strategy of GRBF NNs as follows : (a) The architecture of the network is fully reflective of the structure encountered in the training data which are granulated with the aid of clustering techniques. More specifically, the output space is granulated with use of K-Means clustering while the information granules in the multidimensional input space are formed by using a so-called context-based Fuzzy C-Means which takes into account the structure being already formed in the output space, (b) The innovative development facet of the network involves a dynamic reduction of dimensionality of the input space in which the information granules are formed in the subspace of the overall input space which is formed by selecting a suitable subset of input variables so that the this subspace retains the structure of the entire space. As this search is of combinatorial character, we use the technique of genetic optimization to determine the optimal input subspaces. A series of numeric studies exploiting some nonlinear process data and a dataset coming from the machine learning repository provide a detailed insight into the nature of the algorithm and its parameters as well as offer some comparative analysis.

• 한국응용곤충학회지
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• 제54권4호
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• pp.335-343
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• 2015

유전자변형 작물이 절지동물에 미칠 수 있는 잠재적인 부정적 영향은 유전자변형 작물의 주요한 환경위해성의 하나로 여겨지고 있다. 본 연구에서는 PPO (protoporphyrinogen oxidase) 저해 제초제 내성 유전자변형 벼가 절지동물에 미칠 수 있는 영향을 평가하기 위하여 절지동물의 다양성과 군집구조를 조사하였다. 절지동물은 야외포장에서 벼의 생육기간 동안 황색점착트랩을 이용하여 채집하였다. 유전자변형 벼는 채집된 절지동물군집의 다양도 지수에 유의한 영향을 주지 않았다. 또한 다변량분석(PerMANOVA, NMDS) 결과에서도 절지동물군집 구조는 채집시기에 따라 달랐지만 벼의 유전형(유전자변형 또는 비변형)에 의해 영향을 받지 않았다.

• 한국간호교육학회지
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• 제10권1호
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• pp.84-93
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• 2004

Purpose: This study was conducted to investigate the subjective degree of fatigue, the degree of fatigue depending on constitution, and the factors related to fatigue in middle-aged women. Method: Data were collected from 51 patients, registered at Oriental Medicine Hospital in J-city and K-city respectively. The instrument used in this study were the Multidimensional Assessment of Fatigue and the Questionnaire of Sasang Constitution Classification Ⅱ. Data analysis was done SPSS Result: The characteristics of constitution in middle-aged women could be divided into three: twenty six people of Soeumin, thirteen people of Taeumin, and twelve people of Soyangin. The degree of fatigue in middle-aged women: the average score 30.61 out of the total score 40. Subdivision of fatigue scores: common fatigue degree 7.71, distress due to fatigue 7.67, degree of daily activity fatigue 7.43, and fatigue frequency in the previous week 7.84. There were significant differences in the degree of fatigue depending on constitution in middle-aged women(p=.033). This study revealed weight, exercise, and drinking are important factors that can exert influence on the degree of fatigue. Also, there was a big difference in the degree of fatigue depending on constitution. Conclusion: In conclusion, fatigue is one of the difficult problems with middle-aged women. And this study revealed that change in the weight(especially loss of weight), physical exercise, and drinking are important factors that can exert influence on the degree of fatigue. Also, there was a big difference in the degree of fatigue depending on constitution. Therefore it is necessary to develop Korean nursing intervention to providing an appropriate environment where there is the harmony of the dual principles of the negative and positive, and patients can be taken care of properly.

• 서비스연구
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• 제3권1호
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• pp.9-16
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• 2013

데이터 분석가에게 많은 노력이 요구되지 않으면서 사용자가 쉽게 분석결과를 이해할 수 있는 범용 분류기법으로서 가장 대표적인 것은 Breiman이 개발한 의사결정나무를 들 수 있다. 의사결정나무에서 기본이 되는 2가지 핵심내용은 독립변수의 차원 공간을 반복적으로 분할하는 것과 평가용 데이터를 사용하여 가지치기를 하는 것이다. 분류문제에서 반응변수는 범주형 변수여야 한다. 반복적 분할은 변수 의 차원 공간을 겹치지 않는 다차원 직사각형으로 나눈다. 여기서 변수는 연속형, 이진 혹은 서열의 척도이다. 본 논문에서는 새로운 사례를 분류함에 있어서 분류의 성능을 평가하기 위해 분류나무의 정확도 정밀도 재현률 등을 실험하고자 한다.

• 한국환경과학회지
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• 제24권8호
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• pp.1003-1013
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• 2015

The Ministry of Trade, Industry and Energy is now placing emphasis on the importance of a new and renewable energy resource map service as an essential means of promoting the dissemination and adoption of renewable energy and other related industrial activities. To raise satisfaction with the new and renewable energy resource map service and promote its utilization, a survey was conducted on a sample group with an academic research background, i.e. employees of the Korea Institute of Energy Research (KIER) who have a thorough understanding of the technological concepts behind the new and renewable energy resource map. Statistical analysis of the survey results showed a high level of overall satisfaction with the web service for the new and renewable energy resource map. Therefore, it was concluded that the development of practical contents rather than the enhancement of web service convenience is required. A statistically significant trend was also observed whereby, the longer the professional career of the survey respondents, the greater their perception and utilization of, and satisfaction with, the enhanced service, which indicates that their level of understanding and utilization of technological concepts corresponds to their research experience record. In addition, the results obtained from the questionnaires regarding the evaluation of the utilization value of the resource map service indicated that use of the service was equally high in terms of political, business and academic applications. The results confirmed the need to develop multidimensional resource map contents that can be applied to as many fields as possible, rather than focusing on a specific terrain.

• 한국정보통신학회논문지
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• 제13권10호
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• pp.2180-2188
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• 2009

본 논문은 지능로봇의 동작을 제어하기 위해 비전기반의 실시간 수신호를 PCA 및 BP 알고리즘을 이용한 인식시스템을 제안하였다. 수신호 인식은 PCA 알고리즘을 이용한 전처리 단계와 BP 알고리즘을 이용한 인식의 두 단계로 구성한다. PCA 알고리즘은 데이터 분석을 위해 다차원 데이터 집합을 보다 낮은 차원으로 감소시키기 위해 사용되는 기술로 주어진 수신호의 특징인 투영 벡터를 계산하기 위하여 적용되었고, BP 알고리즘은 병렬 구조를 가지고 있으므로 병렬 분산처리가 가능하고, 처리 속도가 빠르므로 PCA로부터 훈련된 고유 수신호를 학습시켜 수신호를 실시간으로 인식한다. 실험에서는 10종류의 수신호를 PCA 알고리즘만을 사용한 경우와 제안한 PCA 및 BP 알고리즘을 사용한 경우와 인식률을 비교하여 제안한 알고리즘이 우수하다는 것을 보였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.739-744
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• 2002

Recently we have discovered that sediments should be separated from lithosphere, and soil should be separated from biosphere, both sediment and soil will be mixed sediments-soil-sphere (Seso-sphere), which is using particulate mechanics to be solved. Erosion and sediment both are moving by particulate matter with water or wind. But ancient sediments will be erosion same to soil. Nowadays, real soil has already reduced much more. Many places have only remained sediments that have ploughed artificial farming layer. Thus it means sediments-soil-sphere. This paper discusses sediments-soil-sphere erosion modeling. In fact sediments-soil-sphere erosion is including water erosion, wind erosion, melt-water erosion, gravitational water erosion, and mixed erosion. We have established geographical remote sensing information modeling (RSIM) for different erosion that was using remote sensing digital images with geographical ground truth water stations and meteorological observatories data by remote sensing digital images processing and geographical information system (GIS). All of those RSIM will be a geographical multidimensional gray non-linear equation using mathematics equation (non-dimension analysis) and mathematics statistics. The mixed erosion equation is more complex that is a geographical polynomial gray non-linear equation that must use time-space fuzzy condition equations to be solved. RSIM is digital image modeling that has separated physical factors and geographical parameters. There are a lot of geographical analogous criterions that are non-dimensional factor groups. The geographical RSIM could be automatic to change them analogous criterions to be fixed difference scale maps. For example, if smaller scale maps (1:1000 000) that then will be one or two analogous criterions and if larger scale map (1:10 000) that then will be four or five analogous criterions. And the geographical parameters that are including coefficient and indexes will change too with images. The geographical RSIM has higher precision more than mathematics modeling even mathematical equation or mathematical statistics modeling.

• Safety and Health at Work
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• 제9권1호
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• pp.101-108
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• 2018

Background: Work and work environment have a critical influence on adolescent workers' health. They are subjected to more risks than adults. The aim of this study is to examine psychological health outcomes in adolescent workers in the areas of depression, somatization, anxiety, hostility, and negative self-concept, and to investigate any related factors. Methods: This is a descriptive and cross-sectional study. Research samples were collected from adolescent workers between 15 and 18 years old attending a 1-day mandatory education course at vocational training centers, working 5 days per week in small enterprises. Data were collected using the following instruments: Brief Symptom Inventory, Multidimensional Scale of Perceived Social Support, and Descriptive Characteristics of Children's Assessment Form. Results: The investigation covers 837 young workers, of whom 675 were males and 162 were females. The majority of the families had low incomes (68.1%). Overall, 33.5% of the adolescents had been hospitalized because of health problems. Their average weekly working hours were $78.1{\pm}10.7$. Almost 50% of adolescent workers scored above the mean average in the Brief Symptom Inventory, indicating serious pschological health symptoms. Those who scored high for hostility, depression, negative self-concept, anxiety, and somatization were between 45.4% and 48.9% of the sample. Logistic regression analysis was conducted to determine the underlying factors: a perception of "feeling very bad" health conditions was 2.07-fold whereas the rate of "no annual leave" was 0.73-fold, and both were found to be effective on psychological problems. Conclusion: In this study, it seems likely that psychological health problems are the result of multiple adverse factors including working conditions, annual leave, and health considerations.

• 대한지역사회영양학회지
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• 제3권4호
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• pp.609-621
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• 1998

Although many people initially enroll in health education programs, there are many instances of erratic participation and dropouts. Inconsistent participation in intervention programs minimizes their impact on health promotion. Therefore, a theoretical understanding of factors influencing participation in these programs can potentially enhance the effectiveness of its educational strategy. This study used the Pender's Health Promotion Model to examine specific factors influencing incentives to participate in an elderly nutrition education program. The Elderly Nutrition Counseling and Education Program was conducted with 147 volunteers (76 males, 71 females), aged 60 to 87, at 5 separate community elderly centers, by public health dietitians from February to April 1997. Some participants dropped out during the program. Overall, 61 people(18 males, 43 females) finished all 7 steps over 2 months. Pre-intervention data were collected by trained dietitians. This data included individual cognitive-perceptual factors(perceived benefits of nutrition improvement, importance of health, perceived control over health by multidimensional health locus of control, self esteem, perceived health status, concern about health, depression scale and social health scale), which were known to influence the likelihood of health behavior, and modifying factors(socioeconomic variables, biological characteristics, behavioral factors, such as smoking, alcohol drinking and exercise). Male finalists had a significantly lower chance for health locus of control, and better social health status with their children and grandchildren, compared to males who dropped out. Female finalists had a significantly higher locus of control regarding food behavior, higher self-esteem, better recognized nutritional status, worse self-recognized health status and lower concern about health than those who dropped out. There was no significant difference between the attendees and dropouts in age, BMI$(kg/m^2)$, Nutritional Risk Index, depression scale and daily nutrient intake. These results suggest that elderly nutrition intervention plans should focus on the individual cognitive and perceptual factors, with interpersonal influences, to increase participation in nutrition in nutrition improvement programs.