• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.748-753
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• 2012

In this paper, Face recognition algorithm is designed based on optimized pRBFNNs pattern classifier using three-dimensional scanner. Generally two-dimensional image-based face recognition system enables us to extract the facial features using gray-level of images. The environmental variation parameters such as natural sunlight, artificial light and face pose lead to the deterioration of the performance of the system. In this paper, the proposed face recognition algorithm is designed by using three-dimensional scanner to overcome the drawback of two-dimensional face recognition system. First face shape is scanned using three-dimensional scanner and then the pose of scanned face is converted to front image through pose compensation process. Secondly, data with face depth is extracted using point signature method. Finally, the recognition performance is confirmed by using the optimized pRBFNNs for solving high-dimensional pattern recognition problems.

• Journal of Chest Surgery
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• v.38 no.7 s.252
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• pp.468-475
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• 2005

Transmyocardial revascularization (TMR) in end stage ischemic heart disease results in variable clinical responses. We investigated the acute effect of early reperfusion and the angiogenesis after formation of the transmyocardial channel in a transplanted rat heart model with acute myocardial infarction. Material and Method: In the 30 transplanted hearts we induced acute myocardial infarction by ligating the proximal left coronary artery and inserted a porous 22G intravenous cannula into the left ventricle. After ten minutes of reperfusion, we removed the cannula. At every stage, we recorded the heart rate, QRS size, and left coronary arterial blood flow using the electrocardiogram and Doppler. One week later the rats were sacrificed and evaluated for the patency of intramyocardial channels and the angiogenesis. Result: The heart rates after ligation and after cannula insertion were $239.1\pm61.7,\;235.8\pm58.0bpm$ respectively, and they were statistically significantly slower than that of before ligation, $277.6\pm40.3bpm\;(p=0.017,\;p=0.007\;respectively)$. QRS sizes before ligation, after ligation, and after cannula insertion were $3.6\pm3.3mm,\;2.8\pm3.3 mm,\;and\;2.4\pm2.2mm,$respectively, and there was no significant difference in the three groups. Doppler findings after ligation showed that average peak and mean values of coronary perfusion were significantly decreased from $2.11\pm0.17kHz,\;1.25\pm0.22kHz\;to\;0.83\pm0.15kHz,\;0.38\pm0.11kHz$(p<0.05 respectively). After insertion of the porous cannula, the average peak and mean values of coronary perfusion were $0.61\pm0.05kHz\;and\;0.33\pm0.05 kHz$ respectively, but there was no statistically significant change compared to values after ligation. In all cases except one, pathologic findings showed no patent channels in the acute stage, however, one case showed the angiogenesis. Conclusion: We confirmed that TMR in a rat heart transplant model did not show blood flow through the channel in the acute stage. However, reperfusion effect in some cases had a potential for angiogenesis.

• Korean Chemical Engineering Research
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• v.55 no.6
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• pp.771-777
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• 2017

Adsorption characteristics of Eosin Y dye by carbon nano tubes (CNTs) were examined through batch experiments. CNTs used in the study had specific surface area of $106.9m^2/g$, porosity volume of $1.806cm^3/g$, and porosity diameter of $163.2{\AA}$, respectively. Adsorption experiments were carried out as function of contact time, initial solution pH (2~10), dye concentration (100, 150 and 200 mg/L), adsorbent dose (0.05~1.0 g) and temperature (293, 313 and 333 K). The adsorption was favoured at lower pHs and temperatures. Adsorption data were well described by the Langmuir model. The adsorption process followed the pseudo-second order kinetic model. The adsorption capacity decreased with increase in temperature. The results of the intraparticle diffusion model suggested that film diffusion and particle diffusion were simultaneously occured during the adsorption process. Thermodynamic studies suggested the spontaneous and endothermic nature of adsorption of Eosin Y dye onto CNTs.

• Korean Journal of Environmental Biology
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• v.26 no.3
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• pp.252-263
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• 2008

The purpose of this study was to determine trophic state, based on nutrients (TN, TP), transparency (SD), and chlorophyll-${\alpha}$ (Chl) and identify their empirical relations of TN-Chl, TP-Chl and Chl-SD depending on the dataset used along with dynamics of conductivity and suspended solids. Analysis of trophic states showed that more than half of 36 reservoirs were judged as eutrophic-hypertrophic conditions depending on the trophic variables. Seasonal values of TP varied by nearly 500% and showed greater in August than any other months. In contrast, TN varied within less than 90% and all monthly mean values of TN were never fall less than 1.2 mg L$^{-1}$ indicating low seasonal variations and high ambient concentrations (eutrophic-hypertrophic state). Analysis of empirical relations in the trophic variables showed that transparency had greater functional relations with Chl (R$^2$=0.31, p<0.001) than TP (R$^2$=0.15, p<0.001) and TN (R$^2$=0.20, p<0.001). Ratios of TN : TP in the ambient water indicated that most reservoirs showed a potential phosphorous limitation on the algal growth. Thus, algal biomass, based on Chl values, was more regulated by phosphorous than nitrogen. Analysis of linear regression model, based on log-transformed annual mean values, showed that only 30% in the variation of Chl was explained by TP (R$^2$=0.295, p=0.001, n=36) and 15% by TN (R$^2$=0.151, p=0.019, n=36). However, linear regression model, based on individual system, showed that Chl-TP model had strong positive relations (R$^2$=0.62, p=0.002, n=12), whereas the model had no any relations (p=0.892, n=12). Overall, our data suggested that averaging effect in the empirical model developments may influence the significance in the statistical analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1799-1809
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• 2013

The purpose of this study was to evaluate the effects of competency model based education program on risk behavior and competences for preventing adolescents' risk behavior in adolescents. A quasi-experimental design was employed in this study. Participants for the study were middle school students, 30 in the experimental group and 30 in the control group. A study was also done between September and December 2010. Data were analyzed using the SPSS/WIN. 15.0 program with ${\chi}^2$ test, t-test and two-way ANOVA. Participants in the competency model based education program reported significantly different both the competency for prevention of risk behavior scores (F=11.25, p=.001) and the risk behavior scores (F=16.01, p<.001) from those in the control group. The competency model based education program was effective in increasing competency for prevention of risk behavior and in decreasing risk behavior for adolescents. Therefore, this approach is recommended as a risk behavior prevention strategy for adolescents.

• Journal of Biosystems Engineering
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• v.15 no.3
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• pp.199-206
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• 1990

연구 I에서 수행한 소뇌모델 선형조합 신경망(CMLAN)의 분석 결과와 제안된 능률적 학습 알고리즘들에 의거하여 이차원 비선형 함수치의 출력 모의시험과 팔의 형태에 따라 두개의 목적치를 갖는 2 자유도 머니퓨레이터의 동작지령 산출 모의시험을 행하였다. 특히 2 자유도 머니퓨레이터의 경우, 작업공간에 적절한 입력네트의 변수를 선정하고 하나의 입력공간을 공유하는 두개의 세부 소뇌모델 선형조합 신경망을 서로 연결하는 구조로써 팔의 형태와 목적 지점에 따라 네트를 선정하는 구조를 갖도록 하였다. 제안한 학습 알고리즘의 성능 및 CMLAN의 학습에 따른 효과를 학습이득에 따라 컴퓨터로 모의시험하였으며 그 결과를 분석하였다. 잘 알려진 신경망인 BACK-PROPAGATION 다층(Multi-Layer) 신경망과 함수연결 신경망(Functional Link Net)을 이용한 모의시험 결과를 비교 분석하였다. CMLAN의 학습 능률성은 학습에 소요되는 컴퓨터의 cpu시간과 학습 중의시스템의 최대 편차와 RMS 편차의 변이도 및 최종 시스템 수렴치로서 나타내었다.

• Journal of the Korean Applied Science and Technology
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• v.35 no.3
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• pp.643-653
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• 2018

This study was investigated the mechanism of action of n-6/n-3 fatty acid ratio on the metabolic partitioning of blood glycerolipids by in vivo monitoring technique in hyperlipidemic animal model rats. The ratio of cholesteryl 14C-oleate metabolized in the liver of total glycerolipids was lower in the order of n-6/n-3 ratios of 4:1, 15:1, 30:1 and control group (p<0.05). The secretion amount of phospholipid was higher in the order of n-6/n-3 ratio 4:1, 15:1, 30:1 than the control (p<0.05). The secretion amount of triglyceride was lower in especially 4:1, in order of n-6/n-3 4:1, 15:1 and 30:1 compared with the control. The ratio of phospholipid partitioning to total glycerolipid was high in orfer of n-6/n-3 ratio 4:1, 15:1, 30:1 and control (p<0.05). The triacylglycerol partitioning (%) via liver was higher 72.97, 75.93, 78.12% in n-6/n-3 4;1, 15:1, 30:1, respectively than the control of 82.25%, according to increased n-6/n-3 (p<0.05). The phospholipid partitioning (%) was lower 25.15, 18.87, 18.15% in n-6/n-3 4;1, 15:1, 30:1, respectively, compared to control 11.04%, according to increased n-6/n-3 (p<0.05).

• Journal of the Korean Society of Radiology
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• v.81 no.3
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• pp.632-643
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• 2020

Purpose To investigate the correlation between magnetic resonance (MR) image-based radiomics features and the genomic features of breast cancer by focusing on biomolecular intrinsic subtypes and gene expression profiles based on risk scores. Materials and Methods We used the publicly available datasets from the Cancer Genome Atlas and the Cancer Imaging Archive to extract the radiomics features of 122 breast cancers on MR images. Furthermore, PAM50 intrinsic subtypes were classified and their risk scores were determined from gene expression profiles. The relationship between radiomics features and biomolecular characteristics was analyzed. A penalized generalized regression analysis was performed to build prediction models. Results The PAM50 subtype demonstrated a statistically significant association with the maximum 2D diameter (p = 0.0189), degree of correlation (p = 0.0386), and inverse difference moment normalized (p = 0.0337). Among risk score systems, GGI and GENE70 shared 8 correlated radiomic features (p = 0.0008-0.0492) that were statistically significant. Although the maximum 2D diameter was most significantly correlated to both score systems (p = 0.0139, and p = 0.0008), the overall degree of correlation of the prediction models was weak with the highest correlation coefficient of GENE70 being 0.2171. Conclusion Maximum 2D diameter, degree of correlation, and inverse difference moment normalized demonstrated significant relationships with the PAM50 intrinsic subtypes along with gene expression profile-based risk scores such as GENE70, despite weak correlations.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.739-747
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• 2024

The purpose of this study was to identify the relationship between nursing students' COVID-19-related knowledge, perception of infection risk, and health beliefs and infection prevention behaviors, and to identify the factors influencing COVID-19 prevention behaviors, and to provide the necessary basic data for the preparation of measures to improve the infection prevention behaviors of nursing students. Data were collected from 161 nursing students 4th in G city. Data analysis was analyzed by descriptive statistics, Independant t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using the SPSS 21.0 program.. AS a result of this study, Preventive Behaviors was found to have significant positive correlations with COVID-19 Risk Perception(r=.217, p=.006), Health Belief Model of Perceived benefit(r=.206, p=.009) and negative correlations with Perceived barriers(r=-.219, p=.005). The most influential factors the Preventive Behaviors of nursing students were the Perceived benefit (β=.17, p<.001), mental health status after COVID-19(β=.188, p=.014), and these factors explained 58% in Preventive Behaviors(F=9.686, p=.000). In conclusion, it is expected that nursing students' health belief promotion programs, infection-related curriculum, and emotional support programs can be developed and applied to improve the degree of infection prevention behaviors.

• Journal of Environmental Science International
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• v.24 no.1
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• pp.81-96
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• 2015

The characteristics of atmospheric dispersion of radioactive material (i.e. $^{137}Cs$) related to local wind patterns around the Kori nuclear power plant (KNPP) were studied using WRF/HYSPLIT model. The cluster analysis using observed winds from 28 weather stations during a year (2012) was performed in order to obtain representative local wind patterns. The cluster analysis identified eight local wind patterns (P1, P2, P3, P4-1, P4-2, P4-3, P4-4, P4-5) over the KNPP region. P1, P2 and P3 accounted for 14.5%, 27.0% and 14.5%, respectively. Both P1 and P2 are related to westerly/northwesterly synoptic flows in winter and P3 includes the Changma or typhoons days. The simulations of P1, P2 and P3 with high wind velocities and constant wind directions show that $^{137}Cs$ emitted from the KNPP during 0900~1400 LST (Local Standard Time) are dispersed to the east sea, southeast sea and southwestern inland, respectively. On the other hands, 5 sub-category of P4 have various local wind distributions under weak synoptic forcing and accounted for less than 10% of all. While the simulated $^{137}Cs$ for P4-2 is dispersed to southwest inland due to northeasterly flows, $^{137}Cs$ dispersed northward for the other patterns. The simulated average 137Cs concentrations of each local wind pattern are $564.1{\sim}1076.3Bqm^{-3}$. The highest average concentration appeared P4-4 due to dispersion in a narrow zone and weak wind environment. On the other hands, the lowest average concentration appeared P1 and P2 due to rapid dispersion to the sea. The simulated $^{137}Cs$ concentrations and dispersion locations of each local wind pattern are different according to the local wind conditions.