• 한국노년학
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• v.38 no.1
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• pp.169-185
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• 2018

The purpose of this study examined the feasibility and efficacy of a senior center-based diabetes self-management program applying action research approach. The cyclical action research method was applied for this study: plan, act, evaluate, and reflect in delivering three waves of the intervention program. Three waves of a 12 weeks-length small group diabetes self-management program were offered during the period of 15 months in a senior center in Seoul. Planning of $2^{nd}$ and $3^{rd}$ wave program were based on reflection of $1^{st}$ and $2^{nd}$ program evaluation respectively. Among the 46 participants, 93.48% (N=43) completed the program. The quantitative evaluation showed statistically significant improvement in HbA1C(p<.001), fasting plasma glucose(p<.001), BMI(p=.016), waist circumference(p=.001), systolic blood pressure(p=.036), diabetes self-management behavior(p<.001) and health knowledge(p=.008). Qualitative data revealed that individual management was very helpful in empowering and adhering for own diabetes care for the participants. Participants reported high satisfaction towards the program with mean satisfaction score of 65.12. Application of the Diabetes Self-management program with action study strategy was successful in community setting for improving participants' subjective and objective outcomes. Action research method guides the practitioner to tailor the program to respond for the participants and field needs.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.7
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• pp.926-932
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• 2017

Image distortion can occur when photographing deep sea targets with an optical camera. This problem arises because sunlight is not sufficiently transmitted due to seawater and various floating particles of dust. Particularly, color distortion takes place, causing green and blue color channels to be over emphasized due to water depth, while distortion of boundaries also occurs due to light refraction by seawater and floating particles of dust. These distortions degrade the overall quality of underwater images. In this paper, we analyze underwater images of the bottom of vessels. Based on the results, we propose a technique for color correction and edge enhancement. Experimental results show that the proposed method increases edge clarity by 3.39 % compared to the effective edges of the original underwater image. In addition, a quantitative evaluation and subjective image quality evaluation were concurrently performed. As a result, it was confirmed that object boundaries became clear with color correction. The color correction and contour enhancement method proposed in this paper can be applied in various fields requiring underwater imaging in the future.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.5
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• pp.621-640
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• 2019

Quantitative stability assessment of underground cavities can be presented as a factor of safety based on the Shear Strength Reduction Method (SSRM). Also, SSRM is one of the stability evaluation methods commonly used in slope stability analysis. However, there is a lack of research that considers the relationship between the probability of occurrence of cavities in the ground and the potential failure surface of the slope at the same time. In this study, the effect of small underground cavities on the failure behavior of the slope was analyzed by using SSRM. Considering some of the glaciology studies, there is a case that suggests that there is a cavity effect inside the glacier in the condition that the glacier slides. In this study, the stability evaluation of underground cavities and slope stability analysis, where SSRM is used in geotechnical engineering field, was carried out considering simultaneous conditions. The slope stability analysis according to the shape and position change of underground cavities which are likely to occur in the lower part of a mountain road was analyzed by using SSRM in FLAC3D software and the influence of underground cavities on the slope factor of safety was confirmed. If there are underground cavities near slope potential failure surface, it will affect the calculation of a factor of safety. The results of this study are expected to be basic data on slope stability analysis with small underground cavities.

• Journal of the Korean Society of Radiology
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• v.14 no.7
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• pp.975-980
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• 2020

Cervical neural foraminal stenosis is a very common spinal disease that affects a relatively large number of people of all ages. However, since imaging methods that quantitatively provide neural foraminal stenosis are lacking, this study attempts to present quantitative measurement results by reconstructing 3D computed tomography images. Using a 3D reconstruction software, the surrounding bones were removed, including the spinous process, transverse process, and lamina of the cervical spine so that the neural foramen were well observed. Using Image J, a region of interest including the neural foramen area of the 3D image was set, and the number of pixels of the neural foramen area was measured. The neural foramen area was calculated by multiplying the number of measured pixels by the pixel size. In order to measure the widest area of the neural foramen, it was measured between 40-50 degrees in the opposite direction and 15-20 degrees toward the head. The measured cervical neural foramen area showed consistent measurement values. The largest measured area of the right neural foramen C5-6 was 12.21 ㎟, and after 2 years, the area was measured to be 9.95 ㎟, indicating that 18% stenosis had progressed. Since 3D reconstruction using axial CT scan images, no additional radiation exposure is required, and the area of stenosis can be objectively presented. In addition, it is good to explain to patients with neural stenosis while viewing 3D images, and it is considered a good method to be used in the evaluation of the progression of stenosis and post-operative evaluation.

• Journal of Korea Water Resources Association
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• v.50 no.7
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• pp.489-502
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• 2017

The objective of this study is to propose and evaluate the BAYES-ESP, which is a dam inflow prediction method based on Ensemble Streamflow Prediction method (ESP) and Bayesian theory. ABCD rainfall-runoff model was used to predict monthly dam inflow. Monthly meteorological data collected from KMA, MOLIT and K-water and dam inflow data collected from K-water were used for the model calibration and verification. To estimate the performance of ABCD model, ESP and BAYES-ESP method, time series analysis and skill score (SS) during 1986~2015 were used. In time series analysis monthly ESP dam inflow prediction values were nearly similar for every years, particularly less accurate in wet and dry years. The proposed BAYES-ESP improved the performance of ESP, especially in wet year. The SS was used for quantitative analysis of monthly mean of observed dam inflows, predicted values from ESP and BAYES-ESP. The results indicated that the SS values of ESP were relatively high in January, February and March but negative values in the other months. It also showed that the BAYES-ESP improved ESP when the values from ESP and observation have a relatively apparent linear relationship. We concluded that the existing ESP method has a limitation to predict dam inflow in Korea due to the seasonality of precipitation pattern and the proposed BAYES-ESP is meaningful for improving dam inflow prediction accuracy of ESP.

• Journal of the Korean Wood Science and Technology
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• v.44 no.3
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• pp.337-349
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• 2016

In this study, an analytical method to evaluate the quality of isoflavonoid compounds purified and isolated from the fruits of Cudrania tricuspidata was developed and validated using Ultra Performance Liquid Chromatography (UPLC). The fruits of C. tricuspidata were extracted with methanol and further fractioned with n-hexane, ethyl acetate and water. The resulting ethyl acetate extract separated into four isoflavonoid compounds by a combination of silica gel and sephadex LH-20 column chromatography. The structures of the compounds were elucidated as alpinumisoflavone, 6,8-diprenyl genistein, 6,8-diprenyl orobol, 4'-O-methylalpinumisoflavone by various techniques such as UV-Vis, ESI-MS, $^1H\;NMR$ and $^{13}C\;NMR$ spectroscopy. Finally, a method to characterize the compounds was developed by using the UPLC equipped with a $C_{18}$ column and a gradient mobile phase system consisting of 2% acetic acid in water (solvent A) and 2% acetic acid in methanol (solvent B). The developed method was validated with the parameters such as selectivity, linearity, limit of detection, limit of quantitation, accuracy, and precision, which are defined by the ICH (International Conference on Harmonization). Using the validated method, the compounds in the fruits harvested in different months were also quantitatively analyzed. We propose this approach this approach can readily be utilized as an efficient evaluation method to quantify the extracts of C. tricuspidata.

• Analytical Science and Technology
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• v.29 no.5
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• pp.234-241
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• 2016

The approach presented in this article refers to the bioanalytical method validation for the detection and quantitative determination of arsenic species including arsenite (As(III)), arsenate (As(V)), dimethylarsinic acid (DMA) and monomethylarsonic acid (MMA) in dog plasma by high-performance liquid chromatography inductively coupled plasma mass spectrometry (HPLC-ICP/MS). The arsenic species were separated using an agilent As speciation column by a mobile phase of 2 mM sodium phosphate monobasic, 0.2 mM ethylenediaminetetraacetic acid disodium salt dehydrate, 10 mM sodium acetate, 3 mM sodium nitrate and 1 % ethyl alcohol at pH 11 (adjusted with 1M NaOH). The method validation experiment was obtained selectivity, linearity, accuracy, precision, matrix effect, recovery, system suitability, dilution integrity and various stabilities. All calibration curves showed good linearity (R²>0.999) within test ranges. The lower limit of quantitation (LLOQ) was 5 ng/mL for As(III), As(V) and DMA, and 20 ng/mL for MMA. The system suitability and dilution values were within 6.5 % and 7.7 %. Subsequently, the developed and validated HPLC-ICP/MS method was also successfully applied to determine the arsenic speciation in dog plasma samples, and the recoveries for the spiked samples were in the range of 91.5–102.2 %. Therefore, this method could be applied to the evaluation of arsenic exposure, health effect assessment and other bio-monitoring studies in biological samples.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.1
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• pp.103-110
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• 2011

A widely used 3D face reconstruction method, structure from motion(SfM), shows robust performance when frontal, left, and right face images are used. However, this method cannot reconstruct a self-occluded facial part correctly when only one side view face images are used because only partial facial feature points can be used in this case. In order to solve the problem, the proposed method exploit a constrain that is bilateral symmetry of human faces in order to generate bilateral facial feature points and use both input facial feature points and generated facial feature points to reconstruct a 3D face. For quantitative evaluation of the proposed method, 3D faces were obtained from a 3D face scanner and compared with the reconstructed 3D faces. The experimental results show that the proposed 3D face reconstruction method based on both facial feature points outperforms the previous 3D face reconstruction method based on only partial facial feature points.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.6
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• pp.33-50
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• 2023

This study is to propose the ecosystem service valuation method as a complementary or alternative tool to overcome the limitations of the contingent valuation method(CVM), typically used to assess social benefits in preliminary feasibility studies. With an increasing interest in natural and environmental restoration projects, we assessed social benefits with theses CVM and ecosystem service valuation method from a case of Janghang wetland restoration project and compared the extent of the two social benefits. For quantitative evaluation of ecosystem services, the biophysical quantity for each ecosystem service indicator was calculated and then converted into currency (KRW) units to estimate the economic value of ecosystem services. The four ecosystem regulating service indicators were selected including greenhouse gas capture/storage, air pollution, water quantity and quality regulation. The amounts of CO₂ sequestration and storage as a ecosystem's greenhouse gas regulating service in the study area were 73.04 tCO₂/yr and 5,867.53 tCO₂/yr respectively. The reduction of SO₂, one of air pollutant gases by ecosystems was calculated to be 180.27 kg/yr, the reduction of NO₂ to be 378.90 kg/yr, and the reduction of fine dust (PM10) to be 9,713.92 kg/yr. The amount of freshwater regulating service by the ecosystem was estimated to be 459,394,319ℓ/yr, and the amount of nitrogen in freshwater removed by the ecosystem was 78.00kg/yr. Study results show that the benefits derived from the CVM were KRW 227.8 billion over the 30-year analysis period and those from the ecosystem service valuation method were KRW 41.4 billion for regulatory services and KRW 148.8 billion for cultural services, totaling KRW 189.5 billion. With KRW 184.8 billion of the total costs, the benefit/cost ratio using the CVM was 1.23 and that with the ecosystem service valuation method was 1.03. This study implications include that the CVM and ecosystem service valuation method can be applied together to assess and compare social benefits for natural and environmental restoration projects.

• Journal of the Korean GEO-environmental Society
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• v.25 no.11
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• pp.33-43
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• 2024

In this study, data from the Gwangyang Automated Synoptic Observing System (ASOS) meteorological observatory were utilized for drought assessment. Drought occurrence days were evaluated using the Precipitation-based Standardized Precipitation Index (SPI) and two types of Standardized Precipitation Evapotranspiration Index (SPEI) (SPEI_Thornthwaite and SPEI_Penman-Monteith), considering precipitation and evapotranspiration. The SPI and SPEIs yielded generally similar quantitative results for drought occurrence days. However, the SPEI_Penman-Monteith, which uses the physically-based Penman-Monteith method for evapotranspiration estimation, showed a higher number of drought days compared to the SPI_Thornthwaite. The amount of evapotranspiration by the Penman-Monteith method had high seasonal variability and high moisture loss, while the amount of evapotranspiration by the Thornthwaite method had low variability and low moisture loss. Consequently, the SPEI_Thornthwaite had a higher correlation with the SPI compared to the SPEI_Penman-Monteith. Since the SPEI_Penman-Monteith index can more accurately calculate the amount of water loss caused by the hydrological circulation, more reasonable results are derived in calculating the number of drought occurrence days. However, due to the lack of sufficient high-quality meteorological data at ASOS observatories, the Penman-Monteith method may be difficult to apply. In such cases, the SPEI_Thornthwaite, estimating evapotranspiration based solely on monthly average temperature, can be used as an alternative.