• 수산해양교육연구
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• 제25권1호
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• pp.1-11
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• 2013

The aim of this study was estimated the characteristics of the wave propagation by the water level conditions using a numerical modeling method at the Wando sea area. For three cases numerical simulation on the condition of incident and incoming of the deepwater design wave and the season normal wave, the spatial distribution of the incident wave at study area were investigated. And the calculated numerical modeling results were compared with measured field wave data. According to on-site wave data measured for 18 days, the range of the significant wave height and period were 0.10~1.14 m, 4.35~8.74 sec, respectively, and the maximum wave height were 0.15~1.66 m. From the results of numerical model for offshore design wave incident, the wave height attacked from Southern-East direction at this study area were over maximum 10.5 m because of rapidly change of water depth. Numerical modeling by three water level conditions of Approxmate Lowest Low Water Level(Approx. L.L.W), Mean Sea Level(M.S.L) and Approximate Highest High Water Level(Approx. H.H.W) were practiced. From the results for the case of Approx. H.W.L, variations of wave height at the back area of islands were about 1.6 m at maximum value for the case of deepwater design wave incoming. The significant wave heights of winter season were bigger than summer under normal wave condition, the incident wave height over 5.5 m decreased by shielding effect of islands. The change of maximum wave height at summer season were distinct than winter and was about 1.2 m and 0.8 m, respectively.

• 수산해양교육연구
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• 제22권2호
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• pp.218-230
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• 2010

This study was conducted to determine the effect of the noise level on the boarding environment in a stern trawl ship, KAYA(GT: 1,737 tons, Pukyong National University). We measured the noise level at a working, an accommodation and a teaching area, and an engine space on January 9, 2010 while the KAYA was sailing on a liner sea route. At the working area, the ranges of the noise rating number(NRN) and the NRN determination frequency(FNRN) were from 44 to 73 and from 1000 to 2000Hz, respectively. The results were generally satisfied the criteria of the International Maritime Organization(IMO). The noise level at the area, except the radio room(w2), was exceeded the criteria(50dB(A)) for the efficient studying and working. The noise level at the engine control room and the machine workshop was respectively exceeded 1.2dB and 9.5dB than the criteria caused the conversation disturbance (70dB(A)). At the accommodation, NRN and FNRN were from 49 to 54 and from 1000 to 4000Hz, respectively. The noise level was below the criteria of IMO, but above 40dB(A) caused the sleep disturbance. At the teaching area, NRN and FNRN were from 44 to 63 and from 500 to 2000Hz, respectively. The noise level was exceeded than the criteria(50dB(A)) for the efficient studying. At the engine space, NRN and FNRN were from 95 to 100 and from 2000 to 4000Hz, respectively. The noise level was above the criteria of IMO(90dB(A)) for the residence, while it was not exceeded 110dB(A) for the transient.

• 상하수도학회지
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• 제35권3호
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• pp.187-196
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• 2021

When evaluating the extent of the impact of water pollutants on the surrounding area, we would like to present the target level (proposal) of the quality of the environment, which is the standard for evaluation. We propose the environmental quality target level for substances that need to be applied domestically by investigating overseas cases operating the integrated environmental management system and the implications of domestic environmental pollutant management. The appropriateness of the environmental quality target level reviewed in this study was determined using data from the water quality measuring network, and future improvement measures were proposed. We review the available methodologies for setting quality objectives for the environment. It proposed the environmental quality target level for 21 substances that have domestic water pollutant emission standards and do not have environmental standards, and proposed future improvement measures. If it is necessary to add quality target-level items of the environment in the future, it is believed that expansion will be possible based on the methodology presented in this study.

• 한국의류학회지
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• 제47권5호
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• pp.839-852
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• 2023

This study examined personal protective clothing, specifically the D (M, L, XL) and C (L, XL, 2XL) levels with high sales rates. The goal was to collect essential data for developing Korean personal protective clothing. There were eight and twelve patterns for the D-level and C-level, respectively. While the pattern dimensions were similar, the chest and waist circumferences (relaxed) were larger in the C-level, and the waist (extended), hip, upper arm circumference, and total lengths were larger in the D-level. The D-level wear sensation worked well for average-sized Koreans in their twenties, but the C-level caused discomfort in multiple areas, such as the face, arms, armpits, hips, crotch, thighs, and knee during movement. Consequently, this region required pattern adjustments and resetting for improved comfort. The grading rules were 10 cm in the chest, waist, and hip circumference, regardless of the level, with slight differences in other parts depending on the levels. Thus, manufacturers should establish new grading rules to suit the Korean body shape.

• Nutrition Research and Practice
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• 제7권2호
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• pp.96-102
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• 2013

Obesity, an intractable metabolic disease, currently has no medical treatment without side effects, so studies have been actively carried out to find natural compounds that have anti-obesity activity with minimum side effects. In this study, the anti-obesity effects of water extracts of seven Capsicum annuum L. varieties being Putgochu (Pca), Oyee gochu (Oca), Kwari putgochu (Kca), Green pepper (Gca), Yellow paprika (Yca), Red paprika (Rca) and Cheongyang gochu (Cca), were examined through the evaluation of lipoprotein lipase (LPL) mRNA expression level in 3T3-L1 cells (mouse pre-adipocytes). After capsaicin elimination by chloroform defatting, freeze-dried powder of Cca was treated to 3T3-L1 cells and anti-obesity effects were examined by determining the LPL mRNA level using the RT-PCR method. Of the primary fractions, only proven fractions underwent secondary and tertiary refractionating to determine anti-obesity effects. From seven different Capsicum annuum L., there was a significant decrease of the LPL mRNA expression level of 50.9% in Cca treatment compared to the control group. A significant decrease of the LPL mRNA expression level was shown in primary fractions (Fr) 5 (36.2% decrease) and 6 (30.5% decrease) of the Cca water extracts. Due to the impurities checked by UPLC chromatography, Fr 5 and 6 were refractionated to determine the LPL mRNA expression level. Treatment of Fr 6-6 (35.8% decrease) and Fr 5-6 (35.3% decrease) showed a significant decrease in the LPL mRNA expression level. When analyzed using UPLC, major compounds of Fr 6-6 and Fr 5-6 were very similar. Subsequently, we refractionated Fr 6-6 and Fr 5-6 to isolate the major peak for structure elucidation. Treatment of Fr 5-6-1 (26.6% decrease) and Fr 6-6-1 (29.7% decrease) showed a significant decrease in the LPL mRNA expression level. Consequently, the fractions may have a possibility to ameliorate obesity through the decrease of the LPL mRNA expression level.

• Asian-Australasian Journal of Animal Sciences
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• 제21권9호
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• pp.1286-1295
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• 2008

Leptin is produced by adipocytes and its role in the regulation of lipid metabolism, feed intake, productive and reproductive performance of domestic animal species has been greatly stressed and extensively investigated in recent years. This study was conducted to develop a radioimmunoassay (RIA) for the estimation of plasma bovine leptin and to determine plasma leptin concentration in fattening Japanese Black cattle (Wagyu) and its crossbreds at commercial farms. Relationships of plasma leptin with plasma vitamin A and age of crossbred cattle were also determined. Recombinant bovine leptin (rbleptin) was produced by the E. coli overexpressed leptin as a GST (glutathione S-transferase)-fusion protein. Then antiserum against bovine leptin was obtained by its immunization in rabbits. Using this antiserum, a bovine specific RIA was developed and plasma leptin level was determined in 120 crossbred fattening cattle (WagyuHolstein, 50:50) at commercial farms. The plasma leptin level increased with the age of cattle and its level was greater in the crossbred heifers than in the steers. Plasma vitamin A level was negatively correlated with plasma leptin level in crossbred heifers and steers. This relationship was stronger in heifers than in steers. Plasma leptin was gradually increased with advancing age in fattening Wagyu cattle. In conclusion, development of a bovine specific RIA to estimate plasma leptin will contribute to better understanding of the role of leptin in cattle.

• 대한가정학회지
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• 제44권8호
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• pp.79-87
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• 2006

The purpose of this study was to estimate the minimum monthly food cost for the low income population. The food consumption data of 9,311 individuals from the 2001 Korean National Health and Nutrition Survey was used. The monthly food cost was calculated using the Consumer Food Price Database for the year 2001 provided by the Public Health Nutrition Laboratory, Seoul National University. The low income population (n = 1,310) was characterized as older age, lower income, smaller family size, lower education level, and lower energy intake as compared with the total population (n = 8,001). The estimated food cost showed that men in the low income population needed 15% more money for purchasing food to maintain the energy intake level at the average energy intake level of men in the total population. It was also estimated that women in the low income population needed 9% more money for purchasing food to maintain the energy intake level at the average energy intake level of women in the total population. There were differences in monthly food costs depending on the sex and age, and family size. The results of this study could be used as basic information to establish minimum food cost for the low income population in Korea.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.63-69
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• 2020

The rapid development in modern industrialization pollutant the water and atmospheric air across the globe that have a major impact on the human and livings health. In worldwide, every country government increasing the importance to improve the outdoor air pollution monitoring and control to provide quality of life and prevent the citizens and livings life from hazard disease. We proposed the environmental dust level detection method for outdoor facilities using sensor fusion technology to measure precise micro-dust level and monitor in realtime. In this proposed approach use the camera sensor and commercial dust level sensor data to predict the micro-dust level with data fusion method. The camera sensor based dust level detection uses the optical flow based machine learning method to detect the dust level and then fused with commercial dust level sensor data to predict the precise micro-dust level of the outdoor facilities and send the dust level informations to the outdoor air pollution monitoring system. The proposed method implemented on raspberry pi based open-source hardware with Internet-of-Things (IoT) framework and evaluated the performance of the system in realtime. The experimental results confirm that the proposed micro-dust level detection is precise and reliable in sensing the air dust and pollution, which helps to indicate the change in the air pollution more precisely than the commercial sensor based method in some extent.

• 기술혁신학회지
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• 제8권2호
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• pp.650-676
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• 2005

It is important to identify the mid and long-term strategic technologies and evaluate technology level for the establishment of national R&D policy to upgrade technology level in Korea. This paper summarizes the result of technology level evaluation for 99 key technologies of 'National Technology Road Map', which consists of 5 visions, of Korea. The technology level, the technological gap between Korea and world-top country, the role of government to upgrade technology level, etc. were investigated by the survey (total 1,067 respondents) and the interview with experts related to key technologies. The average technology level of Korea was $65.1\%$ of that of world-top country and average technological gap was 5.8 years. The technology level of vision I 'Building an Information-Knowledge-Intelligence Society' was $71.6\%$ and highest among 5 visions. The highest technology level among 99 key technologies was $85.6\%$ for 'Digital Broadcasting Technology' and the lowest was $20\%$ for 'weather Control Technology'. The major reasons of technological gap were investigated as the lack of R&D personnel ($23.8\%$), the shortage of R&D funds ($17.8\%$), and the insufficiency of basic research ($15.4\%$), in sequence. The average technology level of USA was evaluated to highest in the world. It was presented that the technological power of China increased rapidly in the expert interview. The result of technology level evaluation would be primary information for various national S&T planning, such as S&T basic plan, S&T foresight, technology road map, etc.

• 한국농공학회논문집
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• 제61권1호
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• pp.107-120
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• 2019

Reservoir water level data identify the current water storage of the reservoir, and they are utilized as primary data for management and research of agricultural water. For the reservoir storage management, Korea Rural Community Corporation (KRC) installed water level stations at around 1,600 agricultural reservoirs and has been collecting the water level data every 10 minutes. However, various kinds of outliers due to noise and erroneous problems are frequently appearing because of environmental and physical causes. Therefore, it is necessary to detect outlier and improve the quality of reservoir water level data to utilize the water level data in purpose. This study was conducted to detect and classify outlier and normal data using two different models including the threshold model and the artificial neural network (ANN) model. The results were compared to evaluate the performance of the models. The threshold model identifies the outlier by setting the upper/lower bound of water level data and variation data and by setting bandwidth of water level data as a threshold of regarding erroneous water level. The ANN model was trained with prepared training dataset as normal data (T) and outlier (F), and the ANN model operated for identifying the outlier. The models are evaluated with reference data which were collected reservoir water level data in daily by KRC. The outlier detection performance of the threshold model was better than the ANN model, but ANN model showed better detection performance for not classifying normal data as outlier.