• 간호행정학회지
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• 제8권3호
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• pp.475-488
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• 2002

Purpose : The purpose of this study is to establish a basis of patient classification in the ICU by selecting the determination critical indicator of special nursing activities that show high interrilation with daily total nursing care time. Method : This study is composed of the six steps. The first step is the listing direct nursing activities in the ICU. The last step is the determination indicator of each group were selected on the basis of their relationship to the daily total nursing care time of each patient classification group and each nursing activity. Result : Result shows that: 1. direct nursing activities in the ICU are 149 items of 13 territories. 2. the average time and frequency for each direct nursing activities 3. total direct nursing care time of 42 patients in ICU for 2 days. According to the results of the Cluster analysis, the first group is 10 people, the second group is 13 people, the third group is 16 people, the fourth group is 3 people. 4. Determination critical indicator is the item that is r>0.6(p<0.05) of Pearson Correlation between each patient daily total nursing care time and 149 items of nursing activities. The nursing activities selected were as follows: 2 items in the first group, 17 items in the second group. 16 items in the third group, 8 items in the fourth group. Conclusion : This study can help future studies which measure nursing activities standard time or assigns value to nursing activities time.

• 기본간호학회지
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• 제7권3호
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• pp.429-440
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• 2000

The purpose of this study was to validate self care outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 103 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1(indicator is not at all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follows : 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Self care: Toileting' attained an OCV score of 0.884 and was the highest OCV score among self care outcomes. 3. 'Self care: Oral Hygiene' attained an OCV score of 0.756 and was the lowest OCV score among self care outcomes. 4. 'Self-care: Activities of Daily Living (ADL)' attained an OCV score of 0.845 and the highest indicator was 'eating'. 5. 'Self-care: Bathing' attained an OCV score of 0.810 and the highest indicator was 'washes body'. 6. 'Self-care: Dressing' attained an OCV score of 0.831 and the highest indicator was 'buttons clothing'. 7. 'Self-care: Eating' attained an OCV score of 0.815 and the highest indicator was 'chews food'. 8. 'Self-care: Grooming' attained an OCV score of 0.833 and the highest indicator was 'combs or brushes hair'. 9. 'Self-care: Hygiene' attained an OCV score of 0.823 and the highest indicator was 'washes hands'. 10. 'Self-care: Insrumental Activities of Daily Living(IADL)' attained an OCV score of 0.776 and the highest indicator was 'uses telephones'. 11. 'Self-care: Non-Parenteral Medication' attained an OCV score of 0.796 and the highest indicator was 'identifies medication'. 12. 'Self-care: Parenteral Medication attained an OCV score of 0.810 and the highest indicator were 'identifies medication' and 'administers medication correctly'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.382-387
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• 2002

In this paper, we propose a geostatistical approach incorporated to the Bayesian data fusion technique for supervised classification of multi-sensor remote sensing data. Traditional spectral based classification cannot account for the spatial information and may result in unrealistic classification results. To obtain accurate spatial/contextual information, the indicator kriging that allows one to estimate the probability of occurrence of classes on the basis of surrounding observations is incorporated into the Bayesian framework. This approach has its merit incorporating both the spectral information and spatial information and improves the confidence level in the final data fusion task. To illustrate the proposed scheme, supervised classification of multi-sensor test remote sensing data set was carried out.

• 전기학회논문지
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• 제67권7호
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• pp.962-968
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• 2018

In this study, we developed novel indicators to assess postoperative pain based on PPG derivative waveform. As the candidate indicator of postoperative pain assessment, the time from the start of beating to the n-th peak($T_n$) and the n-th peak amplitude($A_n$) of the PPG derivative were selected. In order to verify derived indicators, each candidate indicator was derived from the PPG of 78 subjects before and after surgery, and it was confirmed whether significant changes were observed after surgery. Logistic classification was performed with each proposed indicator to calculate the pain classification accuracy, then the classification performance was compared with SPI(Surgical Pleth Index, GE Healthcare, Chicago, US). The results showed that there were significant differences(p < 0.01) in all indicators except for $T_3$ and $A_3$. The coefficient of variation(CV) of every time-related indicators were lower than the CV of SPI(30.43%), however, the CV in amplitude-related parameters were higher than that of SPI. Among the candidate indicators, amplitude of the first peak, $A_1$, showed that highest accuracy in post-operative pain classification, 68.72%, and it is 15.53% higher than SPI.

• 한국환경생태학회지
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• 제24권1호
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• pp.78-86
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• 2010

국내 주요 도시에서 수행된 비오톱유형 분류는 생물서식처 관점보다는 토지이용 개념에 한정되어 분류되었고, 생태적 가치에 따라 상세하게 분류되지 못하였다. 비오톱유형은 지역적 특성을 고려하여 생물서식처 관점에 따라 분류되어야 한다. 본 논문은 비오톱유형 분류에 사용되는 분류위계, 분류항목, 분류요인, 분류지표, 분류기준, 분류key 등 분류인자의 개념적 틀을 명확하게 설정하고 사례도시의 비오톱유형 분류결과에 적용하여 문제점을 고찰하고 비오톱유형 분류체계 개선방향을 제안하였다. 비오톱유형 분류체계는 위계별로 분류의 기본 수준과 기준을 마련하여 일관된 분류 특성을 가져야 한다. 분류지표는 생물적 요인, 무생물적 요인, 인간행태적 요인을 고려하여 적용되어야 한다. 비오톱유형은 일반인들과 계획가들이 이해하기 쉽도록 분류지표와 분류key의 표준화와 더불어 지역 비오톱 특성을 반영할 수 있도록 분류key와 분류기준의 특성화를 반영하는 것이 필요하다.

• 여성건강간호학회지
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• 제6권4호
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• pp.506-515
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• 2000

The purpose of this study was to validate abuse outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 71 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1 (indicator is not at all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follows: 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Abuse Recovery : Emotional' attained an OCV score of 0.780 and was the highest OCV score among abuse outcomes. The highest indicator was 'demonstration of positive interpersonal relationship'. 3. 'Abuse cessation' attained an OCV score of 0.739 and was the lowest OCV score among abuse outcomes. The highest indicator was 'physical abuse has ceased'. 4. 'Abuse Protection' attained an OCV score of 0.743 and the highest indicator was 'plans for avoiding abuse'. 5. 'Abuse Recovery: Financial' attained an OCV score of 0.762 and the highest indicator was 'court-ordered benefits received'. 6. 'Abuse Recovery: Physical' attained an OCV score of 0.767 and the highest indicator was 'resolution of physical health problem'. 7. 'Abuse Recovery: Sexual' attained an OCV score of 0.768 and the highest indicator was 'expression of confidence with gender identity'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.

• 간호행정학회지
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• 제6권3호
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• pp.357-374
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• 2000

The purpose of this study was to validate knowledge outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 71 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1(indicator is not all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follow: 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Knowledge: Treatment Regimen' attained and OCV score of 0.816 and was the highest OCV score among outcomes. 3. 'Knowledge: Energy Conservation' attained an OCV score of 0.748 and was the lowest OCV score among abuse outcomes. 4. 'Knowledge: Breastfeeding' attained an OCV score of 0.790 and was the highest indicator was 'description of benefits of breastfeeding'. 5. 'Knowledge: Child Safety' attained an OCV score of 0.778 and was the highest indicator was 'demonstration of first aids techniques'. 6. 'Knowledge: Diet' attained an OCV score of 0.779 and was the highest indicator was 'performance of self-monitoring activities'. 7. 'Knowledge: Disease Process' attained an OCV score of 0.815 and was the highest indicator was 'description of signs and symptoms'. 8. 'Knowledge: Health Behaviors' attained an OCV score of 0.800 and was the highest indicator was 'description of safe use of prescription drugs'. 9. 'Knowledge: Health Resources' attained an OCV score of 0.794 and was the highest indicator was 'description of need for follow-up care'. 10. 'Knowledge: Infection Control' attained an OCV score of 0.793 and was the highest indicator was 'description of signs and symptoms'. 11. 'Knowledge: Medication' attained an OCV score of 0.789 and was the highest indicator was 'description of correct administration of medication'. 12. 'Knowledge: Personal Safety' attained an OCV score of 0.804 and was the highest indicator was 'description of measures to reduce risk of accidental injury'. 13. 'Knowledge: Prescribed Activity' attained an OCV score of 0.810 and was the highest indicator was 'proper performance of exercise'. 14. 'Knowledge: Substance Use Control' attained an OCV score of 0.809 and was the highest indicator was 'description of signs of dependence during substance withdrawl'. 15. 'Knowledge: Treatment Procedure(s)' attained an OCV score of 0.795 and was the highest indicator was 'description of appropriate action for complications'. 16. 'Knowledge: Treatment Regimen' attained an OCV score of 0.816 and was the highest indicator was 'description of self-care responsibilities for emergency situations'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.

• 한국주거학회논문집
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• 제24권2호
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• pp.11-24
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• 2013

Sustainable development has been praised as important new planning paradigm. The concept is being increasingly used in planning processes to address environmental, social and economic sustainable development. The social sustainability is important as community in modern life. The purpose of this study is to find out the community elements of sustainable housing to make it better life in residential environment. The Methods are content analysis and experts survey. We execute the literature for method to find the importance and indicator of social sustainability. We execute the experts survey to find the adequacy of the classification criteria, the adequacy of the indicators and the adequacy of the classification system. The findings of this study are as following; the social sustainability is important to support the sustainable housing planning. The indicator of the social sustainability is deduced; 'Locality' are deduced 'Native support', 'History and culture' and 'Reflected the local characteristics'. 'Communality' are deduced 'Citizen participation', 'Social integration', 'Community space and facilities' and 'community activities and programs'. 'Organic' are deduced 'Employment', 'Self-sufficiency', 'Safety and convenience', 'Infrastructure and service' and 'Housing condition'.

• 한국지반공학회지:지반
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• 제11권2호
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• pp.71-78
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• 1995

본 논문에서는 RMR법이나 Q시스템 등의 암반분류법에서와 같이 암반을 여러 등급으로 분류하는 연구가 수행되었다. 특히, 정량적 자료가 제한된 상황에서의 정성적 자료의 체계적이고 합리적인 이용 방법이 모색되었다. 이를 위해서, 지구통계학(geostatistics)기법이 사용되었는데, 특히, 비모수적 방법 중의 하나인 지시크리깅(indicator kriging) 기법이 사용되었으며, 최적 분류를 위한 선택기준으로는 오차에 대응하는 비용(the cost of error)가 사용되었다. 결과적으로, 기존에 개발된 이분적 암반분류에서 다분적 암반분류로의 일반화가 가능하게 되었으며, 분류등 급의 총수에는 제한이 없다.

• 환경영향평가
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• 제25권6호
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• pp.384-401
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• 2016

본 연구는 하천환경평가체계 구축의 일환으로서 식생 평가 지표 및 평가 기준의 검증을 목적으로 수행하였다. 본 연구를 위해 5개 시험하천을 대상으로 68개의 평가단위에서 총 204개의 식생 표본조사구를 설정하였으며, 표본조사구별 상관-종조성 수준에서 식생군집의 분류 및 현존식생도를 작성하였다. 현존식생도를 기준으로 식생자료의 분석을 통해 표본조사의 적정 규모, 식생 지수의 점수 기준, 식생 군집분류의 표준화, 그리고 식생평가지표의 등급화를 위한 종합 점수기준을 검토하였다. 하천 식생 평가를 위해 개발된 식생 다양도 지수와 식생 복잡도, 그리고 식생자연도 지수로 이루어진 식생평가지표의 종합점수 산정 및 등급화는 타당한 것으로 판단되었다. 식생평가지표의 등급화에 대한 식생지수의 기여도를 분석한 결과 식생자연도 지수가 다른 지수에 비해 보다 큰 역할을 하는 것으로 판단되었으나 세부 식생지수 사이의 상호보완적인 관계가 성립되어 있음을 확인할 수 있었다. 또한, 선행 연구에서의 기준의 재검토 및 식생군집 분류의 표준화 작업 등을 통해 개정된 기준을 적용한 결과 식생평가등급 간 변별력이 크게 확보되었음을 확인 할 수 있었으나, 하천구간의 유형에 따른 식생 지수 및 식생평가지표의 등급화는 큰 차이가 없는 것으로 나타났다.