• The Journal of the Society of Korean Medicine Diagnostics
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• v.22 no.1
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• pp.57-67
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• 2018

Objectives The objective of this study is to examine the interpretability of the questionnaire-based pattern identification in terms of biosignals. For this purpose, we investigate the relationship between electrochemical skin conductance (ESC) and Qi-Blood-Yin-Yang Deficiency Questionnaire (QBYY-Q) in diabetic patients. Methods A total of 40 patients with diabetes mellitus answered the QBYY-Q and their ESC were measured by SUDOSCAN device (a diabetes screening device, France). To analyze the relationship between QBYY-Q and ESC, ANOVA analysis and Scheffe test were performed and Pearson correlation coefficients were obtained. Results Of the 40 diabetic patients, 23 (57.5%) were males and 17 (42.5%) were females. According to the QBYY-Q, 9 patients were classified into Qi deficiency pattern (QD), 9 patients were Blood deficiency pattern (BD), 10 patients were Yin deficiency pattern (YiD) and 12 patients were Yang deficiency pattern (YaD). Demographic information (age, body mass index, duration of illness, etc.), signs of vitality (blood pressure, body temperature, etc.), fasting plasma glucose and glycated hemoglobin were not significantly different in each deficiency pattern. The ESC of the right leg was significantly lower in the BD group compared to the YiD group (p<0.022). Pearson's correlation coefficient was negatively correlated with the BD questionnaire score (r=-0.343, p <0.05). Finally, ESC showed a positive correlation with hemoglobin and erythrocyte levels in all limbs (r=0.483, p<0.01). Conclusions We showed that ESC could be used to classify the Deficiency pattern identifications in diabetic patients. Especially, the ESC was significantly lower in the BD group and was negatively correlated with the BD scores. It implies the potential utility of the ESC to understand the BD in terms of modern biosignals.

• The Transactions of the Korea Information Processing Society
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• v.2 no.5
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• pp.691-700
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• 1995

Most fractal image codings using fractal concept require long encoding time because a large amount of computation is needed to find an optimal affine transformation point. Such a problem can be solved by designing a block classifier fitted to characteristics of image blocks. In general, it is possible to predict more precise and various types of blocks in frequency domain than in spatial domain. In this paper, we propose a block classifier to predict the block type using characteristics of DCT(Discrete Cosine Transform). This classifier has merits to enhance the quality of decoded images as well as to reduce the encoding time meeting fractal features. AC coefficient values in frequency domain make it possible to predict various types of blocks. As the results, the number of comparisons between a range block and the correspoding domain blocks to reach an optimal affine transformation point can be reduced. Specially, signs of DCT coefficients help to find the optimal affine transformation point with only two isometric transformations by eliminating unnecessary isometric transformations among eight isometric transformations used in traditional fractal codings.

• Computers and Concrete
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• v.22 no.2
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• pp.249-259
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• 2018

This paper presents Artificial Neural Network (ANN) models for evaluating bond strength of deformed, plain and cold formed bars in low strength concrete. The ANN models were implemented using the experimental database developed by conducting experiments in three different universities on total of 138 pullout and 108 splitting specimens under monotonic loading. The key parameters examined in the experiments are low strength concrete, bar development length, concrete cover, rebar type (deformed, cold-formed, plain) and diameter. These deficient parameters are typically found in non-engineered reinforced concrete structures of developing countries. To develop ANN bond model for each bar type, four inputs (the low strength concrete, development length, concrete cover and bar diameter) are used for training the neurons in the network. Multi-Layer-Perceptron was trained according to a back-propagation algorithm. The ANN bond model for deformed bar consists of a single hidden layer and the 9 neurons. For Tor bar and plain bars the ANN models consist of 5 and 6 neurons and a single hidden layer, respectively. The developed ANN models are capable of predicting bond strength for both pull and splitting bond failure modes. The developed ANN models have higher coefficient of determination in training, validation and testing with good prediction and generalization capacity. The comparison of experimental bond strength values with the outcomes of ANN models showed good agreement. Moreover, the ANN model predictions by varying different parameters are also presented for all bar types.

• Journal of the Korean Solar Energy Society
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• v.31 no.6
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• pp.95-102
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• 2011

The purpose of study is to estimate heating, cooling load performance and economic efficiency in office building with applied the functional paint. this paint can reduced SHGC(Solar Heat Gain Coefficient) on the glazing surface by coating. In this study, estimated to compared with double glazing, low-e glazing, IP(Insulation Paint) and IPu(Insulation UV-Cut Paint) coating glazing. As a result of this study, 1)heating & cooling load Analysis, SHGC value and U-factor of double glazing is about 0.70 and 3.29($W/m^2K$). low-E glazing is about 0.65 and 2.70($W/m^2K$). Two-side it is about 0.27 and 3.25($W/m^2K$). When compared to double glazing, annual heating & cooling load of low-E glazing, Two-side IPu and IP paint coating glazing is 3,012MWh($124kWh/m^2$), 2,910MWh($120kWh/m^2$), 2,867MWh($118.4kWh/m^2$) and 2,867MWh($118.4kWh/m^2$). It i sreduced to 2.0%, 5.2%, 6.7%, and 6.7% respectively. 2)the estimation of economic efficiency, low-e glazing installed in office building can not recover the investment within a lifetime 40years. but IPu and IP paint, two-side coating in glazing, have a payback period of 13 years respectively.

• KIEAE Journal
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• v.16 no.4
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• pp.71-77
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• 2016

Purpose : The energy saving in a residential building (apartment) sector is known as one of the effective solution of energy reduction. In South Korea, the government has recently reinforced regulations associated with the energy performance of buildings. However, there is a lack of research on the methods for the energy performance diagnosis that is used to analyze the wall thermal performance of the existing apartments. Because a reliable diagnosis is necessary to save the building energy, this study analyzed wall thermal performance of an existing apartment in Seoul. Method : This paper applied two methods for analysis of the thermal insulation performance; HFM(Heat Flow Meter) method and ASTR(Air-Surface Temperature Ratio) method. The HFM method is suggested by ISO9869-1 code to measure the thermal performance. The ASTR method is proposed by this study for the simplified In-situ measurement and it uses three temperature data (interior wall surface, interior and exterior air) and the overall heat transfer coefficient. This study conducted the experiment of an existing apartment in Seoul using these methods and analyzed the results. Furthermore, the energy simulation tool of the building was used to suggest retrofit of the building based on the results of measurements. Result : The error rate of HFM method and ASTR method was analyzed in about 17 to 20%. As the results of comparison between the initial design values of the wall and the measured values, the 26% degradation of insulation thermal performance was measured. Lastly, the energy simulation tool of the building shows 10.8% energy savings in accordance with the construction of suggested retrofit.

• Journal of Biosystems Engineering
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• v.34 no.2
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• pp.114-119
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• 2009

Field test was conducted to investigate primary factors reducing rapeseed harvesting using a reciprocating cutter-bar of combine. The results showed that the correlation between crop moisture content and yield loss had a U-type, which indicated that the yield reduction increased at too high and too low crop moisture contents. The proper ranges of crop moisture contents were 27${\sim}$35%, 21${\sim}$56%, and 62${\sim}$73% in case of grain, pod and stem, respectively. Crop moisture content was negatively correlated with header loss, but positively correlated with threshing loss. In contrary, stem moisture content showed positive correlations with total loss, threshing loss and separation loss. Working speed was positively correlated with header loss. Total flow rate, pod flow rate and stem flow rate were highly correlated with threshing loss and separation loss. However, grain flow rate did not show any correlation with total loss. According to the principal component analysis, two principal components were derived as components with eigenvalues greater than 1.0. The contribution rates of the first and the second components were 52.7% and 38.9%, which accounted for 91.6% of total variance. As a contributive factor influencing total loss of rapeseed mechanical harvesting, a crop moisture content factor was greater than a crop flow rate factor. The stepwise multiple regression analysis for total loss was conducted using crop moisture content factor, crop flow rate factor and coefficient. However, the model did not show any correlation among independent and dependent factors ($R^2$=0.060).

• Restorative Dentistry and Endodontics
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• v.28 no.6
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• pp.491-497
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• 2003

The purpose of this study was to evaluate the correlation between hybrid layer thickness and bond strength using confocal laser scanning microscope and microtensile bond strength test of two adhesive systems. The dentin surface of human molars. sectioned to remove the enamel from the occlusal surface. Either Scotchbond Multi-Purpose(3M Dental Product, St. Paul, MN, U.S.A) or Clearfil SE Bond (Kuraray, Osaka, Japan) was bonded to the surface. and covered with resin-composite. The resin-bonded teeth were serially sliced perpendicular to the adhesive interface to measure the hybrid layer thickness by confocal laser scanning microscope. The specimen were trimmed to give a bonded cross-sectional surface area of $1\textrm{mm}^2$, then the micro-tensile bone test was performed at a cross head speed of 1.0 mm/min. All fractured surfaces were also observed by stereomicroscope. There was no significant differences in bond strengths the materials(p>0.05). However. the hybrid layers of three-step dentin adhesive system, SM, had significantly thicker than self-etching adhesive system. CS(p<0.05). Pearson's correlation coefficient showed no correlation between hybrid layer thickness and bond strengths(p>0.05). Bond strengths of dentin adhesive systems were not dependent on the thickness of hybrid layer.

• Archives of Plastic Surgery
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• v.34 no.1
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• pp.24-36
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• 2007

Purpose: Direct anthropometry is an ideal method for preoperative planning and postoperative evaluation in plastic surgery, but it requires highly skilled specialty. Indirect anthropometry, especially photogrammetry, is an alternative method. In photogrammetry, standardized clinical photography is essential. Photogrammetry-based standardized clinical photography has several advantages over direct anthropometry. It is easier to measure and has less chance to make errors during measurement. Furthermore, it is possible to repeat measurements, and available for follow up study based on permanent custody. But, it is still different from actual measurement, and inherently less accurate than anthropometry. Methods: The authors revised the standardized clinical photography and then, carried out photogrammetry using Photoshop(Adobe, U.S.A.), and compared each data with those of anthropometry. The subjects were 50 males and 50 females, undergraduate medical students in twenties. Standard head position was obtained from the wire, fixed to cephalostat which indicates the Frankfort horizontal plane. All photographs were taken at the same situation such as fixed position of light, subject and camera, etc. Results: Total 96 measurements, based on 40 landmarks, consist of linear measurements, angular measurements and inclinations include 3 measurements in head, 22 in face, 15 in orbit, 28 in nose, 16 in lip and mouth, and 12 in ear. Conclusion: Normal photogrammetric data of face of Korean in twenties was obtained. Reliable photogrammetric measurements, not significantly different from anthropometric measurement statistically, accounted for 44 in 96 measurements(45.8%). Anthropometric values different from those of photogrammetric values were obtained by multiplying coefficient by photogrammetric value.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.21 no.5
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• pp.615-627
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• 1997

An experiment was performed to local heat transfer coefficient and Nusselt number in the circular duct of 180.deg. bend for Re=6*10$^{4}$, 8*10$^{4}$ and 1*10$^{5}$ at swirling flow and non-swirling flow conditions. The test tube with circular section was made by stainless which has curvature ratio 9.4. The wall of test tube was heated directly by electrical power to 3.51 kw and swirling motion of air was produced by a tangential inlet to the pipe axis at the 180 degree. Measurements of local wall temperatures and bulk mean temperature of air are made at four circumferential positions in the 16 stations. The wall temperatures show particularly reduced distribution curve at bend for non-swirling flow but this effect does not appear for swirling flow. Nusselt number distributions for swirling flow which was calculated from the measured wall and bulk temperatures were higher than that of non-swirling flow. Average Nusselt number of swirling flow increased about 90 ~ 100% than that of non-swirling flow whole through the test tube. The Nu/N $u_{DB}$ values at the station of 90.deg. for non-swirling flow and swirling flow are respectively about 2.5 and 4.8 at Re=6*10$^{4}$. Also that is good agreement with Said's result for non-swirling flow. flow.

• Women's Health Nursing
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• v.20 no.1
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• pp.62-71
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• 2014

Purpose: This study investigated the effects of menopausal adaptation and Sanhujori (Korean traditional postnatal care) on the Health-related quality of life in middle-aged women. Methods: Women aged from 45 to 60 completed questionnaires consisting of SF-36 ver. 2 and menopausal adaptation scale between July to Aug, 2013. Two hundred and eighteen participants' data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and multiple regression. Results: Physical health ($69.5{\pm}15.1$) was better than mental health ($68.8{\pm}17.1$), and bodily pain and social functioning were the same results as 2009 general U.S. population, with the sub-variables of quality of life being lower. Menopausal adaptation was at moderate level, and correlation of its sub-variables with quality of life were significant: fatigue (r=.60, p<.001), accomplishing feeling (r=.55, p<.001), confidence (r=.54, p<.001), dryness (r=.51, p<.001), flush (r=.38, p<.001), dominance (r=-.36, p<.001), stability (r=.26, p<.001). Fatigue, confidence, stability, period of sanhujori, and dryness revealed as influencing quality of life, while the total variation explained by these components was at 52%. Conclusion: To improve quality of life of middle aged women, health care providers need to provide nursing intervention to relieve fatigue and dryness; and address psychosocial concerns with developing nursing strategies to improve stability and confidence. For post-partum women, enough periods of sanhujori needs to be recommended.