• 대한한의학방제학회지
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• 제21권2호
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• pp.121-132
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• 2013

Objectives : The objectives of this study is to establish data-base to find out similar herbal formulas with a particular herbal formula by comparing composition ratio of configuring herbs. And this thesis is to analyze differences of prescriptions and find out similar prescriptions by utilizing galenical mass ratio, which is directly related to effectiveness of galenical. Methods : This study was proceeded by using Access 2007 with Window 7(MS) and 2,787 prescriptions of which herbal configuration could be indicated by weight unit were analysed from Donguibogam. We standardize all units of the prescription and input the mass ratio data when entered galenical data. Results : We could confirm a degree of similarity between compared prescriptions and a particular prescription according to the sum of differences of herb weight ratio and similarity ratio. Conclusions : A most similar herbal formula could be searched through comparing multi prescriptions by multi prescriptions of herbal configuration from established herbal formula data-base where herb weight ratio of prescriptions is to be input.

• 응용통계연구
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• 제26권4호
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• pp.635-647
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• 2013

다중 대체법은 표본조사에서 결측값이 발생하였을 때 가장 흔히 사용하는 방법이다. 이 방법은 여러 요인에 의해 그 성능이 좌우되며 특히 이상점의 영향을 많이 받는다. 본 연구에서는 가중치 보정법을 이용하여 이상점의 영향력을 줄여 다중 대체법의 성능을 향상시키는 방법을 연구하였다. 가중치 보정법을 이용하여 얻어진 최종 가중치를 다중대체에 사용하였으며 SAS의 PROC MI가 다중 대체를 위해 사용되었다. 모의실험과 매월노동통계 자료를 이용한 실제 자료 분석을 통하여 제안된 방법의 우수성을 확인하였다.

• 한국공간정보시스템학회 논문지
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• 제11권2호
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• pp.27-33
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• 2009

The emergences of GeoSensor and researches about GIS have promoted many researches of u-GIS. The disaster application coupled in the u-GIS can apply to monitor accident area and to prevent spread of accident. The application needs the u-GIS DSMS technique to acquire, to process GeoSensor data and to integrate them with GIS data. The u-GIS DSMS must process big and large-volume data stream such as spatial data and multimedia data. Due to the feature of the data stream, in u-GIS DSMS, query processing can be delayed. Moreover, as increasing the input rate of data in the area generating events, the network traffic is increased. To solve this problem, in this paper we describe TRIGGER ACTION clause in CQ on the u-GIS DSMS environment and proposes data source management. Data source weight table controls GES information and incoming data rate. It controls incoming data rate as increasing weight at GES of disaster area. Consequently, it can contribute query processing rate and accuracy

• Journal of Information Processing Systems
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• 제15권3호
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• pp.655-669
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• 2019

Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.

• PNF and Movement
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• 제12권1호
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• pp.13-17
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• 2014

Purpose: To determine the normative data for the correlation of spinal, pelvic parameters with foot pressure in the young subjects. Methods: The subjects of this study were 39 patients in healthy adults. The Formetric-III was used to measure of spinal alignment. The pedoscan was used to measure of foot pressure. The correlation of trunk imbalance, trunk inclination, lateral deviation with foot pressure. The foot pressure measurement was consisted of maximal/mean pressure, weight contribution. Result: There was a negative correlation of trunk inclination with Max_R. There was a negative correlation of trunk inclination with Max_R. There was a positive correlation of trunk imbalance with Max_L. There was a positive correlation of lumbar lordosis with Mean_R_front, Lt. posterior weight distribution. There was a negative correlation of lumbar lordosis with Lt., Rt. in distribution There was a negative correlation of pelvic tilt with Mean_R_front, Lt. posterior weight distribution. There was a positive correlation of pelvic tilting with Rt. weight distribution, Lt. posterior weight distribution. There was a negative correlation of pelvic torsion with Lt. weight distribution, Rt. posterior weight distribution. There was a negative correlation of pelvic rotation with Lt. weight distribution, Lt. posterior weight distribution. Conclusion: The data obtained from the study may be used for future studies related to correlation of the spinal, pelvic deviation with foot pressure.

• 여성건강간호학회지
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• 제13권4호
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• pp.320-326
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• 2007

Purpose: This study was carried out in an attempt to find weight control behaviors (BMI, experiences of weight control, weight control related factors, etc.) of college female students. Method: The subjects were 596 female students in 104 universities and colleges in Korea. Data was collected by using a questionnaire developed through a pretest. Result: Seventy five percent of subjects were in the normal range in weight, but 63.8% have experienced weight control behaviors and 58.9% have worried about their weight. Middle and high school was the first time to have concerns about their weight/body image. In addition, the influence towards weight control was mainly by mass communication. Weight control frequency in the most recent most year correlated with concern about weight, first time of weight control, maximum maintaining period of losing weight and BMI. Conclusion: To ensure resonable body image and weight control behaviors in women, education has to begin in elementary schools. In the case of weight control, scientific and systematic weight reduction programs should be developed.

• 대한인간공학회지
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• 제31권1호
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• pp.255-259
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• 2012

Objective: This study aims to investigate relationship between representative anthropometric dimensions and income levels for Korean from 1958 to 1989. The anthropometric dimensions include stature and body weight, and GNP per head was used as an index of income level. Background: Although anthropometric dimensions were affected by varying factors such as genetic, environmental and socioeconomic factors, most studies on anthropometry have focused on measurement methods, providing data and their characteristics. Method: Anthropometric data were retrieved from homepages of Korean Agency for Technology and Standards, and Ministry of Culture, Sports & Tourism, and GNPs per head by year from Korean Statistical Information Service. Results: During analysis period, statures and body weights for males and females increased by 6.4cm and 6.1cm, 10.7kg and 4.0kg, respectively. Infants' stature and body weight nearly linearly increased with GNPs per head. Anthropometric dimensions of stature and body weight were very positively correlated with GNPs per head. Conclusion: This study revealed that income levels significantly affect stature and body weight. Application: The results would be used as a valuable basic data when establishing government policies related to anthropometry.

• 정보처리학회논문지D
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• 제17D권4호
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• pp.253-258
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• 2010

지금까지의 빈발 패턴(Frequent Pattern) 마이닝에서는 각 항목들의 중요도(Weight)는 모든 같은 값으로 다루어 왔으나 실 환경에서는 각 항목들의 중요도가 다르게 적용되는 경우가 많이 있고 또 같은 항목이라도 시간에 따라 다른 중요도 값으로 다루어져야 할 경우가 있다. 비즈니스 데이터 분석 환경이나 웹 클릭 데이터 분석 환경과 같은 응용에서도 동적으로 변하는 중요도를 고려하여야 한다. 지금까지 항목의 중요도를 고려하는 여러 패턴 마이닝 기법들이 제안되고 있으나 동적으로 변하는 항목의 중요도를 고려하는 연구는 발표되지 않고 있다. 본 논문에서는 처음으로 동적인 항목들의 중요도(혹은 가중치)를 고려하는 빈발 패턴 마이닝 알고리즘을 제안한다. 제안하는 기법은 단 한번의 데이터베이스 스캔으로 처리되므로 스트림 데이터를 분석할 수 있다. 여러 실험을 통하여 제안하는 기법은 매우 효과적이며 확장성이 좋은 것임을 보인다.

• 한국의류학회지
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• 제23권4호
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• pp.517-528
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• 1999

The purpose of this study was to obtain the basic data on clothing habits for health promotion through the investigation of clothing weight by month and season. Thirty six subjects (18 males and females twenties) were composed to obtain the clothing weight(Total clothing weight) for a year. And then clothing weight was grouped in to four seasons : spring(Mar-May) Summer(Jun-Aug) Fall(Sep-Nov) and Winter(Dec-Feb). The data of males and females were respectively divided into three groups by cluster analysis with clothing weight. 1. The clothing weight of male and female were the heaviest in jan, that of male were smallest in July female in Aug. 2. The clothing weight mean of male(996g/m2) were heavier than that of female(894g/m2) for year. The seasonal clothing weight of male culminated in Winter(1179g/m2) and decreased respectively : Spring (973g/m2) Fall(879g/m2) and summer(559g/m2) The seasonal clothing weight of female culminated in Winter (1068g/m2) and decreased respectively ; Fall(865g/m2) Spring(835g/m2) and summer(479g/m2). The seasonal clothing weight variations were significantly different in each season(p<0.01) but they were insignificantly different between Spring and Fall. middle and light. There was individual differences in the clothing weight especially large in Winter and Spring and small in Summer and Fall. 4. Lower inner clothing weight was the lowest fluctuant all around year upper outer clothing weight was the most fluctuant. So he/she controled upper outer clothing to deal with thermal environment. He/she pretended natural textiles such as cotton and wool to synthetic textiles.

• 대한유전성대사질환학회지
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• 제14권2호
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• pp.150-155
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• 2014

The measurement of $17{\alpha}$-hydroxyprogesterone ($17{\alpha}$-OHP) in a dried blood spot on filter paper is an important for screening of congenital adrenal hyperplasia (CAH). Since high levels of $17{\alpha}$-OHP are frequently observed in premature infants without congenital adrenal hyperplasia, we evaluated cuts-off based on birth weight and performed validation. Birth weight and $17{\alpha}$-OHP concentration data of 292,204 newborn screening subjects in Greencross labopratories were analyzed. The cut-off values based on birth weight were newly evaluated and validated with the original data. The mean $17{\alpha}$-OHP concentration were 7.25 ng/mL in very low birth weight (VLBW) group, 4.02 ng/mL in low birth weight (LBW) group, 2.53 g/mL in normal birth weight (NBW) group, and 2.24 ng/mL in heavy birth weight (HBW) group. The cut-offs for CAH were decided as follows: 21.12 ng/mL for VLBW and LBW groups and 11.14 ng/mL for NBW and HBW groups. When applied new cut-offs for original data, positive rates in VLBW and LBW groups were decreased and positive rates in NBW and HBW groups were increased. The cut-offs based on birth weight should be used in the screening for CAH. We believe that our new cut-off reduce the false positive rate and false negative rate and our experience for cut-off set up and validation will be helpful for other laboratories doing newborn screening test.