• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.1
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• pp.40-49
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• 2004

In this paper, we propose a new architecture of Genetic Algorithms(GAs)-based Self-Organizing Polynomial Neural Networks(SOPNN), discuss a comprehensive design methodology and carry out a series of numeric experiments. The conventional SOPNN is based on the extended Group Method of Data Handling(GMDH) method and utilized the polynomial order (viz. linear, quadratic, and modified quadratic) as well as the number of node inputs fixed (selected in advance by designer) at Polynomial Neurons (or nodes) located in each layer through a growth process of the network. Moreover it does not guarantee that the SOPNN generated through learning has the optimal network architecture. But the proposed GA-based SOPNN enable the architecture to be a structurally more optimized network, and to be much more flexible and preferable neural network than the conventional SOPNN. In order to generate the structurally optimized SOPNN, GA-based design procedure at each stage (layer) of SOPNN leads to the selection of preferred nodes (or PNs) with optimal parameters- such as the number of input variables, input variables, and the order of the polynomial-available within SOPNN. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization (predictive) abilities of the model. A detailed design procedure is discussed in detail. To evaluate the performance of the GA-based SOPNN, the model is experimented with using two time series data (gas furnace and NOx emission process data of gas turbine power plant). A comparative analysis shows that the proposed GA-based SOPNN is model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• The Research Journal of the Costume Culture
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• v.1 no.2
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• pp.159-179
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• 1993

The purpose of this study is to collect data for he improvement of the accuracy of upper garments construction of the old whose bodies have been changed due to their age. In this study the body measurements with 61 items were taken from 226 men(aged fro m 60 to 80) living in Seoul by the R. Martin's method in 1992. The data were calculate by computer and analyzed by the multivariate method, especially factor and cluster analysis. The results of the study were as follows; 1. The average stature of elderly males was 163.6cm, chest circumference 91.6cm, waist circumference 9\\85.5cm. hip circumference 92.8cm, neck circumference 37cm, arm length 55.4 cm, back length 42.6cm, shoulder breadth 42.9cm and the Roher's Index 1.39, which was a standard body shape. 2. The items of factor analysis were explained to seven, namely, the degree of fatness of the upper body, the size of the frame of body, the length of the upper body, the degree of curve of the front body, the size of shoulder, the shape of the back, and the slope of shoulder. 3. The body types of subjects were classified into four types. The majority was type 4, which was 67% of subjects and considered as balanced body type. The distinctive features of those types are as follows; Type 1. The subjects of this type had a slight skeletal structure and were the thinnest of all the subjects with thin and forward-bent arm. Type 2. The subjects of this type were the tallest of all the subjects. they had the straightest side of body and a well-developed upper arm. The thigh length of this type was longer than the length of trunk. Type. 3. The subjects of this type was only one, so ti could be excluded. Type 4. The subjects of this type had a long trunk, well-developed shoulder, and a crook in their neck and back. The arm length and thigh of this type were short and those circumferences were thick. Type 5. The subjects of this type were the shortest of all, but had the highest degree of fatness in the waist and abdominal. They had well-developed front muscles of body and projected hip.

• Journal of Korea Association of Health Promotion
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• v.4 no.1
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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.

• Journal of Korean Foot and Ankle Society
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• v.19 no.4
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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.

• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.212-219
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• 2003

In construction project planning and control, a cost model performs a critical role such as cost determination on a contract stage and cost tracing. The model can maximize owner's profit and value within the project budget and optimize cost management works on overall construction implementation stages. A BoQ(Bill of Quantities) generally adopted in a unit price contract has been applied as an important tool for cost control and forecast. However a previous cost model based on the BoQ has shown limitations in that it requires too detailed information and heavy manpower on cost management and difficulty in keeping relationship with construction planning, scheduling and progress management. The each cost items and unit prices which constitute of construction works are individually very important management factors but the relative weight for each items and prices have a difference on the contents and conditions of each conditions of each construction works. In consideration of this structural mechanism of cost determination, this research is aimed at examining the critical factors affecting the construction cost determination and propose and verify a new cost forecasting model which is more simple and efficient and also keeps the accuracy of cost management.

• Fashion & Textile Research Journal
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• v.21 no.6
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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.

• Korean Journal of Community Nutrition
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• v.10 no.1
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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.

• The Korean Journal of Nuclear Medicine
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• v.9 no.2
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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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• v.10 no.2
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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.

• Korean Journal of Remote Sensing
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• v.29 no.3
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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.