• Journal of Ocean Engineering and Technology
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• v.36 no.5
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• pp.326-339
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• 2022

Recently, not only Korea but also the world has been suffering from problems related to coastal erosion. The hard defense method has been primarily used as a countermeasure against erosion. However, this method is expensive and has environmental implications. Hence, interest in other alternative methods, such as the eco-friendly vegetation method, is increasing. In this study, we aim to analyze the hydraulic characteristic of submerged rigid vegetation according to the cross-sectional change through a hydraulic experiment and numerical simulation. From the hydraulic experiment, the reflection coefficient, transmission coefficient, and energy dissipation coefficient were analyzed according to the density, width, and multi-row arrangement of the vegetation zone. From numerical simulations, the flow field, vorticity distribution, turbulence distribution, and wave distribution around the vegetation zone were analyzed according to the crest depth, width, density, and multi-row arrangement distance of the vegetation zone. The hydraulic experiment results suggest that the transmission coefficient decreased as the density and width of the vegetation zone increased, and the multi-row arrangement condition did not affect the hydraulic characteristics significantly. Moreover, the numerical simulations showed that as the crest depth decreased, the width and density of vegetation increased along with vorticity and turbulence intensity, resulting in increased wave height attenuation performance. Additionally, there was no significant difference in vorticity, turbulence intensity, and wave height attenuation performance based on the multi-row arrangement distance. Overall, in the case of submerged rigid vegetation, the wave energy attenuation performance increased as the density and width of the vegetation zone increased and crest depth decreased. However, the multi-row arrangement condition did not affect the wave energy attenuation performance significantly.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.3
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• pp.37-48
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• 2016

The purpose of this study is to investigate the factors that affect the degree of export intensity of Korean venture businesses, and to analyze the effect of export intensity on corporate performance. We use 1,970 firm data (from Venture Business Survey by Small & Medium Business Administration) and analyze the possible factors of the CEO characteristics, the corporate characteristics, and the environmental factors. Our analysis shows that Korean venture business' CEO characteristics, such as his/her doctoral degree and marketing work experiences, increase their export intensity statistically significantly, while their age does not. In addition, the companies who outsource their products have a higher export intensity, and, as the firm age increases, the export intensity decreases significantly. It is also analyzed that, as the number of export regions or FDI regions increases, their export intensity goes higher. However, firms' higher level of internationalization does not bring higher performance of the venture firms, while it does significantly for the venture firms that are older than 10 years. The result implies that CEO's education or work experiences and strategic approaches are important for corporate globalization, and that it takes time for globalizing venture firms to be able to garner profits from their global investments.

• Journal of Hospice and Palliative Care
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• v.18 no.4
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• pp.322-328
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• 2015

Purpose: The aging of society has rapidly progressed, especially in Korea. Therefore, the necessity of research on end-of-life (EOL) care in elderly patients has increased. However, there are few studies on EOL care intensity for non-cancer patients. This study was designed to compare the EOL care intensity between cancer and non-cancer patients. Methods: We retrospectively analyzed the EOL care intensity based on medical records of decedents of Kyung Hee University Medical Center, a tertiary referral hospital from December 2014 through March 2015. And we compared EOL care intensity between cancer patients and non-cancer patients using statistical analysis of the frequency of invasive procedures and logistic regression analysis for factors that affect the EOL care intensity. Results: Statistical analysis showed invasive procedures, such as intensive care unit admission, endotracheal intubation followed by mechanical ventilation and emergency dialysis, were performed more frequently in non-cancer patients than cancer patients (29.3% vs. 72.4%, P<0.001). And age (P=0.038) and morbidity of cancer (P<0.001) influenced the invasive procedural decision when analyzed by logistic regression analysis. Conclusion: The EOL care was more intensive in non-cancer patients, and age and morbidity of cancer were major factors for the treatment intensity.

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.7
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• pp.1052-1059
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• 2016

Red light (RL) marked higher weight gain (WG) and preference of broilers compared to other light colors. This study aimed to investigate how different intensities of RL affect the performance, behavior and welfare of broilers. RL treatments were T1 = high intensity (320 lux), T2 = medium intensity (20 lux); T3 = dim intensity (5 lux), T4 = control/white light at (20 lux) provided on 20L:4D schedule and T5 = negative control; 12 hours dark: 12 hours day light. Cobb strain broilers were used in a Complete Randomize Design with 6 replicates. WG, water/feed intake, feed conversion ratio (FCR), mortality, behavior and welfare were assessed. At 35 d, significantly (p<0.05) highest body weight ($2,147.06g{\pm}99$) was recorded by T3. Lowest body weight ($1,640.55g{\pm}56$) and FCR (1.34) were recorded by T5. Skin weight was the only carcass parameter showed a significant (p<0.05) influence giving the highest (56.2 g) and the lowest (12.6 g) values for T5 and T1 respectively. Reduced welfare status indicated by significantly (p<0.05) higher foot pad lesions, hock burns and breast blisters was found under T3, due to reduced expression of behavior. Highest walking ($2.08%{\pm}1%$) was performed under T1 in the evening during 29 to 35 days. Highest dust bathing ($3.01%{\pm}2%$) was performed in the morning during 22 to 28 days and highest bird interaction (BI) ($4.87%{\pm}4%$) was observed in the evening by T5 during 14 to 21 days. Light $intensity{\times}day$ $session{\times}age$ interaction was significantly (p<0.05) affected walking, dust bathing and BI. Light intensity significantly (p<0.05) affected certain behaviors such as lying, eating, drinking, standing, walking, preening while lying, wing/leg stretching, sleeping, dozing, BI, vocalization, idling. In conclusion, birds essentially required provision of light in the night for better performance. Exposed to 5 lux contributed to higher WG, potentially indicating compromised welfare status. Further researches are suggested to investigate RL intensity based lighting regimen that favors for both production and welfare of Broilers.

• Journal of Life Science
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• v.21 no.6
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• pp.838-844
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• 2011

The purpose of this study was to investigate gender-specific changes of plasma MDA, SOD, and lymphocyte DNA damage during high intensity exercise. In this study, 17 healthy male and 18 healthy female college students ran on a treadmill at 85%$VO_{2max}$ until the point of all-out. Blood-collecting was carried out five times (Rest, Ex-Exha, R0.5h, R4h and R24h), and with the collected blood, plasma malondialdehyde (MDA), superoxide dismutase (SOD), and lymphocyte DNA damage were analyzed. Plasma MDA and SOD concentration increased significantly at the Ex-Exha (p<0.05), and there were no significant differences in gender. For the degree of lymphocyte DNA damage, all %DNA in the tail, tail length and tail moment increased significantly at the Ex-Exha (p<0.05), and %DNA in the tail and tail length were significantly higher in the male group than in the female group (p<0.05). These results suggest that acute high intensity exercise not only causes oxidative stress but also brings about lymphocyte DNA damage. In addition, it was found that males showed higher DNA damage than females in terms of oxidative stress subject to high intensity exercise. Nevertheless, further subsequent studies are required in order to better understand the mechanism behind DNA damage varying with gender, in a way that takes into consideration physical fitness, hormonal level, exercise intensity and duration - additional factors which might affect DNA damage.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1405-1423
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• 2021

Precipitation is one of the main factors that affect water and energy cycles, and its estimation plays a very important role in securing water resources and timely responding to water disasters. Satellite-based quantitative precipitation estimation (QPE) has the advantage of covering large areas at high spatiotemporal resolution. In this study, machine learning-based rainfall intensity models were developed using Himawari-8 Advanced Himawari Imager (AHI) water vapor channel (6.7 ㎛), infrared channel (10.8 ㎛), and weather radar Column Max (CMAX) composite data based on random forest (RF). The target variables were weather radar reflectivity (dBZ) and rainfall intensity (mm/hr) converted by the Z-R relationship. The results showed that the model which learned CMAX reflectivity produced the Critical Success Index (CSI) of 0.34 and the Mean-Absolute-Error (MAE) of 4.82 mm/hr. When compared to the GeoKompsat-2 and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN)-Cloud Classification System (CCS) rainfall intensity products, the accuracies improved by 21.73% and 10.81% for CSI, and 31.33% and 23.49% for MAE, respectively. The spatial distribution of the estimated rainfall intensity was much more similar to the radar data than the existing products.

• Korean Journal of Culture and Social Issue
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• v.11 no.2
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• pp.31-46
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• 2005

The purpose of the present study was to investigate the effects of in-vehicle noise types and levels of intensity on drivers' driving speed estimation. Noise generated from the vehicle engine and musical sound sampled from the Korean pop were employed as the types of in-vehicle noise and their levels of intensity were systematically manipulated. In experiment 1 where the effect of the engine noise levels on speed estimation was observed, drivers showed the tendencies of driving faster than the targets speeds under lower noise intensity condition whereas driving slower under higher noise intensity condition. In experiment 2 where both musical sample and the engine noise were provided, drivers' subjective speed estimation was affected by the engine noise as revealed experiment 1, but not by musical sample. When the data from the both experiments were combined and analyzed, an interacting effect of engine noise levels and music sample levels was found: if the intensity of music sample was enough to overwhelm the engine noise, the drivers drove faster than lower engine noise level condition in the experiment 1. This result indicates that although the music sample is not the direct auditory cue of speed estimation as observed in the experiment 2, intense level of music sample can affect drivers' speed estimation when it is coupled with the lower engine noise level.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.6B
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• pp.491-497
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• 2011

In this study, the flow characteristics around the cutter head, which makes the dredging soil suspended, were measured to evaluate the environmental affect of the dredging works. The PIV was used for measuring the flow characteristics around the cutter head for suction and non-suction cases. As the results, the mean velocity was decreased from the cutter head to outward. The mean velocity decreasing rate of the non-suction case was larger than that of the suction case, but the turbulence intensity decreasing rate of the non-suction case was smaller than that of the suction case because of the suction energy which makes the z-direction flow.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.225-230
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• 2001

Intensity of background noise is a factor significantly affecting both subjective evaluation of experienced stress level and associated electroencephalographic (EEG) responses during mental load in noisy environments. In the study on 27 subjects we analyzed the influence of the background white noise (WN) intensity on psychophysiological responses during a word recognition test. Electrocortical activity were recorded during baseline resting state and 40 s long performance on 3 similar Korean word recognition tests with different intensities of background WN (55, 70 and 85 dB).. An important finding in terms of physiological reactivity was similarity of all physiological response profiles between 55 and 70dB WN, i.e., none of physiological variables differentiated the two conditions, while 85dB WN resulted in a significantly different profile of reactions (higher fast beta power in EEG spectra). This condition was characterized by highest subjective rating of experienced stress, had more fast beta activity and had tendency of right hemisphere dominance, emphasizing the role of brain lateralization in negative affect control.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.51-56
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• 2005

There are many sources of systematic variations in cDNA microarray experiments which affect the measured gene expression levels like differences in labeling efficiency between the two fluorescent dyes. Print-tip lowess normalization is used in situations where dye biases can depend on spot overall intensity and/or spatial location within the array. However, print-tip lowess normalization performs poorly in situation where error variability for each gene is heterogeneous over intensity ranges. We proposed the new print-tip normalization methods based on support vector machine regression(SVMR) and support vector machine quantile regression(SVMQR). SVMQR was derived by employing the basic principle of support vector machine (SVM) for the estimation of the linear and nonlinear quantile regressions. We applied our proposed methods to previous cDNA micro array data of apolipoprotein-AI-knockout (apoAI-KO) mice, diet-induced obese mice, and genistein-fed obese mice. From our statistical analysis, we found that the proposed methods perform better than the existing print-tip lowess normalization method.