• 한국건강관리협회지
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• 제4권1호
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• pp.1-11
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• 2006

"본 논문은 대한외과학회지 2006년 제70권제1호에 실렸던 논문으로 대한외과학회 편집위원회 승인을 득하고 본 협회지에 게재함. Purpose: Malnutrition has been frequently reported for patients on their admission to the hospital and it has been associated with an increase in morbidity, mortality and the length of the hospital stay. Although a number of screening tools have been developed to identify those patients at risk for malnutrition, there is no' gold standard' for defining malnutrition and the malnourished patients remain largely unrecognized. The aim of this study is to evaluate the efficacy of a nutritional screening tool for use in Dankook University Hospital. Methods Nutritional evaluation was performed for 53 patients who were admitted to the department of surgery and internal medicine between October and December 2004. The screening tool was completed by the ward nurse and the nutritional support team nurse on the same patients within24 hours of admission. The nutritional support team nurse performed the full assessment. The screening sheet included 4 questions regarding body mass index, recent unintentional weight loss, food intake and disease severity. Each answer was scored and a total of 5 was tested as the criterion fey malnutrition. The full assessment included current body weight, recent weight loss, triceps skinfold thickness, mid-arm muscle circumference, serum albumin)in and total lymphocyte count. Malnutrition was defined by 3 or more values below the reference values. The reliability of the screening tool was assessed using kappa statistic. Sensitivity, specificity and accuracy were calculated to evaluate the validity of the screening tool. The receiver operating characteristic(ROC) curve was drawn to choose a cutoff valve that maximizes sensitivity and specificity. Results' The level of agreement between the ward nurse and the NST nurse was good for BMI and food intake and moderate for weight loss and disease severity. The full assessment identified7 patients(13.2%) as malnourished. The screening sheet had a sensitivity of 86% and a specificity of 80%. According to the ROC curve, a score of 5 points provided the best validity. Conclusion The nutritional screening tool is reliable when completed by different observers and it is valid for nutritional assessment.

• 대한족부족관절학회지
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• 제19권4호
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• pp.188-192
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• 2015

Purpose: The purpose of this study is to provide Korean data on heel pad thickness according to age, gender, underlying disease, occupation, and body mass index (BMI). Materials and Methods: A retrospective study was conducted on 670 patients who underwent foot lateral plain radiography and magnetic resonance imaging (MRI) between January 2010 and July 2014. Through measurements of heel pad thickness, the usefulness and accuracy of foot lateral plain radiography was evaluated, and the mean Korean heel pad thickness in the weight-bearing and non-weight-bearing conditions was also evaluated according to age, gender, underlying disease, occupation, and BMI. Results: The 670 subjects with a mean age of 44 years (range, 12 to 84 years) consisted of 420 males and 250 females. The difference in heel pad thickness between non-weight-bearing foot lateral plain radiography and MRI was 0.69 mm. The heel pad thickness did not show a significant difference with age (p=0.08) and the presence of diabetes (p=0.09). With the increase in the Tegner score, the thickness of the heel pad increased (p=0.035), and subjects with a higher BMI had a thicker heel pad (p=0.03). The compressibility of the heel pad thickness showed no correlation with gender, diabetes, and Tegner score. Compressibility also increased with the increase in age and body weight. Conclusion: The mean Korean heel pad thickness measured through non-weight-bearing foot lateral plain radiography was 18.79 mm. The heel pad thickness increased with increasing BMI; however, age and diabetes did not show significant correlation. The compressibility of heel pad increased with the increase in age.

• 한국건설관리학회논문집
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• 제4권4호
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• pp.212-219
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• 2003

건설공사에서 공사비 계획 및 관리를 위한 코스트 모델은 공사입찰$\cdot$계약단계에서 도급공사비 결정에 중요한 기능을 담당할 뿐만 아니라 건설사업 수행 전 단계에 걸쳐 건설공사에 소요될 비용을 추적, 관리하여 주어진 예산범위 내에서 최적의 목적물을 설계 시공하여 궁극적으로 발주자의 투자비용에 대한 가치를 극대화하고 비용관리업무의 적정성을 도모하는 기능을 담당하고 있다. 그동안 내역입찰방식을 널리 채택하고 있는 건설공사에서 내역서는 공사비 예측 및 계획 등 공사관리에 있어서 중요한 수단으로 활용하여 왔으나, 현행 내역모델은 공사비의 예측 및 비용관리 측면에서 지나치게 상세하며, 공사계획 및 관리 업무와 연계시키는데도 한계가 있는 것으로 지적되고 있다. 건설공사를 구성하는 세부 단위작업에 소요되는 비용은 모두 중요한 관리대상이지만, 단위작업의 내용에 따라 비용이 차지하는 비중과 코스트 결정에 미치는 영향력에는 차이가 있다. 이러한 비용결정의 구조적 메커니즘에 착안하여 본 연구에서는 건설공사 비용결정에 중요한 영향을 미치는 작업내용을 규명하여 정확성을 유지하면서 단순 간결한 코스트 예측모델을 제안 및 검증하는 것을 목적으로 하고 있다.

• 한국의류산업학회지
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• 제21권6호
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• pp.789-799
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• 2019

This study classified and analyzed the upper body types of 7-13 years old elementary school boys, using 3D data from the 6th Size Korea. The results of this study are as follows. Seven factors were extracted from the factorial analysis as an independent factor for a cluster analysis. The cluster analysis generated four body types. Type 1 has large ratio of front and back depth as well as circumference, with a front protrusion. In Type 2, the vertical value of upper torso is longer than average; in addition, its flatness is the largest and produces a thin body type. Type 3 has a smaller flatness in the bust, waist, abdomen and hip than other types, while also having the largest BMI. Type 4 is characterized by a greater shoulder angle than other types and its other factors are close to average. As a result of the logistic regression analysis, the prediction model used eight variables to generate and its accuracy is 88.679%. The classification of upper body types from this study can be used as basic data to improve patternmaking for each body type. The generated prediction model is also expected to be used as a method to help classify upper body types using the eight variables.

• 대한지역사회영양학회지
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• 제10권1호
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• pp.46-58
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• 2005

The purpose of this study was to compare the nutrition intakes and factors related to dietary behaviors according to age in female. The subjects included 579 females aged 15 - 59 years. This survey was conducted using a selfadministered questionnaire to obtain data about eating behaviors, living habits, eating disorders by EAT-26 (Eating Attitude Test-26), and nutrition knowledge. In younger women aged 15 - 20 years, the living habits related to health such as smoking, drinking and exercising were undesirable. In addition, the younger women group had significantly higher levels of skipping meals and frequency of eating snacks compared to the older women group and their eating times were not regular. And they showed a lower score of health eating index by mini dietary assessment (MDA). Although, all age groups consumed energy, Ca, Fe, and thiamin below the Korean RDA; especially, in adolescent, Ca intakes ($67.1\%$ RDA) were extremely low. In addition, mean score of EAT-26 was significantly higher in young women aged 15 - 29 years than older women. Also, they had rather lower levels of accuracy and perception for nutrition knowledge compared to older age group. These results suggested that Korean adolescent had undesirable nutritional intakes and attitude, and nutrition knowledge, indicating inadequate eating behaviors. These poor dietary behaviors can affect the health status. Therefore, the nutrition counseling and education to help people to have correct nutrition knowledge and to form better eating habits needs to be established.

• 대한핵의학회지
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• 제9권2호
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• pp.1-11
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• 1975

The serum concentrations of thyrotropin (TSH) were measured by means of radioimmunoassay, in 98 cases of normal controls, 51 cases of hyperthyroidism, 80 cases of primary hypothyroidism and 4 cases of secondary hypothyroidism to evaluate the diagnostic significance in various functional states of the thyroid. The obtained data were analyzed in correlation with other thyroid function test values in various phases of the functional thyroid diseases. The results were as follows: 1) The serum TSH concentration in normal control group was $<1.3{\sim}8.0{\mu}U/ml$. 2) The measurement of serum TSH was more significant in diagnostic accuracy compared with that of serum $T_4(75.0{\pm}12.2%)$. Free $T_4$ Index ($64.2{\pm}15.2%$), serum $T_3(41.0{\pm}21.0%)\;or\;T_3$ resin uptake ($41.1{\pm}15.8%$) in evaluation of primary hypothyroidism. 3) In case of overt hypothyroidism, the serum TSH and $T_4$ were both abnormal, compatible with the clinical diagnosis, while in case of preclinical or mild hypothyroidism, the serum $T_4(41.2{\pm}23.8%)\;or\;50.0{\pm}25.0%)$ was much less reliable than serum TSH. 4) In the treatment of primary hypothyroidism with desiccated thyroid, the administration of 1 grain of the hormone per day was sufficient to suppress the serum concentration of TSH to normal range. It showed that the measurement of serum TSH concentration was a significant criteria in evaluating the efficiency of the treatment of hypothyroidism. 5) The measurement of serum TSH concentration is a very significant method in the early detection of hypothyroidism induced during or after the treatment of the hyperthyroidism with antithyroid drugs or radioactive Iodine ($^{131}I$).

• Asian Journal of Atmospheric Environment
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• 제10권2호
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• pp.67-79
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• 2016

The forecasting of air pollution is an important and popular topic in environmental engineering. Due to health impacts caused by unacceptable particulate matter (PM) levels, it has become one of the greatest concerns in metropolitan cities like Karaj City in Iran. In this study, the concentration of $PM_{2.5}$ was predicted by applying a multilayer percepteron (MLP) neural network, a radial basis function (RBF) neural network and a Markov chain model. Two months of hourly data including temperature, NO, $NO_2$, $NO_x$, CO, $SO_2$ and $PM_{10}$ were used as inputs to the artificial neural networks. From 1,488 data, 1,300 of data was used to train the models and the rest of the data were applied to test the models. The results of using artificial neural networks indicated that the models performed well in predicting $PM_{2.5}$ concentrations. The application of a Markov chain described the probable occurrences of unhealthy hours. The MLP neural network with two hidden layers including 19 neurons in the first layer and 16 neurons in the second layer provided the best results. The coefficient of determination ($R^2$), Index of Agreement (IA) and Efficiency (E) between the observed and the predicted data using an MLP neural network were 0.92, 0.93 and 0.981, respectively. In the MLP neural network, the MBE was 0.0546 which indicates the adequacy of the model. In the RBF neural network, increasing the number of neurons to 1,488 caused the RMSE to decline from 7.88 to 0.00 and caused $R^2$ to reach 0.93. In the Markov chain model the absolute error was 0.014 which indicated an acceptable accuracy and precision. We concluded the probability of occurrence state duration and transition of $PM_{2.5}$ pollution is predictable using a Markov chain method.

• 대한원격탐사학회지
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• 제29권3호
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• pp.275-291
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• 2013

Monitoring the global Gross Primary Pproduction (GPP) is relevant to understanding the global carbon cycle and evaluating the effects of interannual climate variation on food and fiber production. GPP, the flux of carbon into ecosystems via photosynthetic assimilation, is an important variable in the global carbon cycle and a key process in land surface-atmosphere interactions. The Moderate-resolution Imaging Spectroradiometer (MODIS) is one of the primary global monitoring sensors. MODIS GPP has some of the problems that have been proven in several studies. Therefore this study was to solve the regional mismatch that occurs when using the MODIS GPP global product over Korea. To solve this problem, we estimated each of the GPP component variables separately to improve the GPP estimates. We compared our GPP estimates with validation GPP data to assess their accuracy. For all sites, the correlation was close with high significance ($R^2=0.8164$, $RMSE=0.6126g{\cdot}C{\cdot}m^{-2}{\cdot}d^{-1}$, $bias=-0.0271g{\cdot}C{\cdot}m^{-2}{\cdot}d^{-1}$). We also compared our results to those of other models. The component variables tended to be either over- or under-estimated when compared to those in other studies over the Korean peninsula, although the estimated GPP was better. The results of this study will likely improve carbon cycle modeling by capturing finer patterns with an integrated method of remote sensing.

• 대한원격탐사학회지
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• 제29권1호
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• pp.105-114
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• 2013

지구온난화와 인간의 무분별한 활동과 같은 인위적인 요인과 아열대고압대라는 자연적인 요인으로 인해 동아시아 지역의 사막화가 확산되고 있다. 사막화의 확산으로 인하여 우리나라에 영향을 주는 황사의 발원지가 변화하고 있다. 본 연구에서는 황폐한 지역의 토지 피복을 연구하기 위한 유용한 식생지수로 알려진 Normalized Difference Vegetation Index (NDVI)를 이용하여 동아시아 사막 주변의 토지 피복 변화를 관측하여 사막화의 시계열 변화와 패턴을 알아보고자 한다. SPOT위성의 VEGETATION 센서를 통해 동아시아 S10-DAY NDVI 데이터를 1999년부터 2011년까지 취득하였다. 데이터에 포함되어 있는 노이즈값을 제거하기 위해 NDVI Correction, WaterMask를 수행한 후 ISODATA 방법으로 무감독분류를 하였다. 무감독분류 된 클러스터에 대한 분석을 수행한 결과 사막 경계 부분에서 식생의 밀도가 활발하게 변화하고 있는 것을 확인하였으며 특히 고비 사막과 내몽골 고원 그리고 만주 지역을 중심으로 변화가 큰 것을 확인하였다. 2000년대 후반에 들어서 사막의 전체적인 크기는 감소하는 것으로 나타났지만 동쪽으로 사막화가 진행되는 것을 확인하였다.

• 한국정보과학회논문지:데이타베이스
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• 제37권1호
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• pp.50-55
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• 2010

블로그 서비스 시스템에 존재하는 중복문서는 블로그 검색의 서비스 질과 성능을 저하시키는 요인 중 하나이다. 기존의 웹 페이지 환경에서와는 달리, 블로그 서비스 시스템에서는 각 문서의 생성이 매번 보고되기 때문에 문서 생성 시점에 중복 판정이 가능하다. 본 논문에서는 이 점에 착안하여 문서를 저장하는 시점에 해당 문서의 중복 여부를 판정하는 새로운 중복문서 검출 기법을 제안한다. 제안된 기법을 통하여 검출된 중복문서는 검색 엔진을 위한 인덱싱에 반영시키지 않음으로써 중복문서가 검색 결과에 반영되는 문제를 원천적으로 방지할 수 있다. 또한, 효과적인 중복문서 검출을 위하여 3가지 인덱싱 기법을 제안하며, 실제 블로그 데이터를 이용하여 각 인덱싱 기법 중 가장 효율적인 기법을 보인다.