• Journal of the East Asian Society of Dietary Life
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• v.21 no.1
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• pp.68-73
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• 2011

Total anthocyanin and color intensity contents of wild grape wine were $4.3{\pm}0.3%$ and $10.2{\pm}0.8%$, respectively. The contents of total phenols and flavonoid in wild grape wine were $18.8{\pm}3.9$ mg/100 g, $0.5{\pm}0.2$ mg/100 g, respectively. Total mineral content in wild grape wine was $22.6{\pm}0.2$ mg/100 g and the 10 minerals of the potassium content ($5.3{\pm}0.2$ mg/100 g) was the highest. Electron donating abilities of wild grape juice at concentration of 1,000 ${\mu}L/mL$ were $90.4{\pm}1.8%$. Reducing power of wild grape wine at concentration of 1,000 ${\mu}L/mL$ were 0.932. The electron donating abilities and reducing power were increased significantly by increased the sample concentration in the reaction mixture. The nitrite scavenging ability was dependent on pH of reaction mixture and sample concentration. The nitrite scavenging ability of wild grape win was $76.3{\pm}1.3%$ at concentration of 1,000 ${\mu}L/mL$ under pH 1.2.

• Journal of Korean Society of Transportation
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• v.33 no.3
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• pp.256-267
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• 2015

The intelligent transportation systems allow us to have valuable opportunities for collecting wide-area coverage traffic data. The significant efforts have been made in many countries to provide the reliable traffic conditions information such as travel time. This study analyzes the impacts of the fog weather conditions on the traffic stream. Also, a strategy for predicting the long-term traffic speeds is developed under foggy weather conditions. The results show that the average of speed reductions are 2.92kph and 5.36kph under the slight and heavy fog respectively. The best prediction performance is achieved when the previous 45 pattern cases data is used, and the 14.11% of mean absolute percentage error(MAPE) is obtained. The outcomes of this study support the development of more reliable traffic information for providing advanced traffic information service.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.425-436
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• 2015

This study is to investigate how the expenditures for hypertension is affected by socioeconomic, health care resources, and health behavior factors with a special emphasis on geographic variations and to provide the data about regional management for hypertension. To analyze, we combined a unique data set including key indicators from Medical Service Usage Statistics 2012 by Region by National Health Insurance Corporation, Annual Community Health Survey 2012 by Korea Centers for Disease Control and Prevention and other government organizations at the 247 small administrative districts. We found that the average expenditures of hypertension in 249 small districts is 62,000 won and coefficient of variation is 30.0. Major factors of differences in hypertension expenditure is population density, marital status, household income, number of hospital per 100 thousand, medical expenses outside the jurisdiction, drinking rate, moderate and over-intensity physical activity, and hypertension diagnosis rate. The results of decision tree was that there were significant differences between regions in hypertension diagnosis rate, household income, marital status, number of hospital per 100 thousand, obesity rate, drinking rate. This study concluded that determinants of geographic variations in hypertension spending are not only health resources and socioepidemic characteristics but health behaviors.

• Journal of Environmental Health Sciences
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• v.42 no.2
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• pp.92-101
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• 2016

Objectives: Outdoor workers are exposed to thermally stressful work environments. In this study, heat stress indices for harbor workers in summer were calculated to evaluate thermal comfort based on a human heat balance model. These indices are Physiological Subjective Temperature (PST), Dehydration Risk (DhR), and Overheating Risk (OhR) according to respective stage of cargo work in a harbor. In addition, we constructed a forecast system to provide heat stress information. Methods: Thermophysiological indices in this study were calculated using the MENEX model (i.e. the human heat balance model), which used as inputs the meteorological parameters, clothing insulation, and metabolic rate for each stage of cargo work in the harbor of Masan over the course of seven days, including a four-day heat wave. The forecast heat stress information constructed for Masan harbor was based on meteorological data supported by the Dong-Nae Forecast from the KMA (Korea Metrological Administration) and other input parameters. Results: According to higher metabolic rate, thermophysiological indices showed a critical level. In particular, PST was evaluated as reaching the 'Very hot' or 'Hot' level during all seven days, despite the heat occurring over only four. It is important in a regard to consider the work environment conditions (i.e. labor intensity and clothing in harbor). On a webpage, the forecast thermophysiological indices show as infographics to be easily understand. This webpage is comprised of indices for both current conditions and the forecast, with brief guidance. Conclusion: Thermophysiological indices show the risk level to health during a heat wave period. Heat stress information could help to protect the health of harbor workers. Further, this study could extend the applicability of these indices to a variety of outdoor workers in consideration of work environments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1506-1514
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• 2015

In this paper, we proposed a forest fires prediction and detection system. It could provide a situation of fire prediction and detection methods using context awareness sensor. A fire occurs wide range of sensing a fire in a single camera sensor, it is difficult to detect the occurrence of a fire. In this paper, we propose an algorithm for real-time by using a temperature sensor, humidity, Co2, the flame presence information acquired and comparing the data based on multiple conditions, analyze and determine the weighting according to fire in complex situations. In addition, it is possible to differential management of intensive fire detection and prediction for required dividing the state of fire zone. Therefore we propose an algorithm to determine the prediction and detection from the fire parameters as an temperature, humidity, Co2 and the flame in real-time by using a context awareness sensor and also suggest algorithm that provide the path of fire diffusion and service the secure safety zone prediction.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.3
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• pp.321-330
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• 2020

The purpose of this study is to present the appropriate standby space for the mechanical parking lot considered parking queue. This analysis is based on the field-study by results of the influential factors on the parking queue of mechanical parking lots in the commercial area of Gwang-ju metropolitan city. In this study, the parking queue was analized through the simple modeling using Vissim based on average service rate and average arrival rate from the result of field-study. As a result of applying the field survey products to the theoretical queue model, no significant result was obtained when the traffic intensity exceeded 1. Therefore, parking queue was analyzed through simple modeling using Vissim, and the model for calculating the proper parking queue size of the mechanical parking lot by size was derived. The model for estimating of an appropriate mechanical parking standby space considering parking queue presented in this study is expected to be a criterion for considering the appropriate parking space of a new building, and also it can be used to minimized the traffic impact due to the parking queue by the lack of standby space.

• Journal of Navigation and Port Research
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• v.28 no.10 s.96
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• pp.869-874
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• 2004

Digital TV broadcasting's resolution or tone quality is very excellent than analog broadcasting and has many advantages including various multimedia functions such as home shopping, home banking, internet search, telecommuting, VOD, etc. In this study, it is essential to analyze the regional electromagnetic environment before Digital TV broadcasting, and therefore we analyzed Busan area's limitation using ETRI propagation model. For maintaining high-quality Digital TV signals, we measure electric field intensity wide and far in Busan including mountains area and high-rise buildings. Generally, it has lower value by a standard ETRI propagation model than simulated value about standard model, but distribution pattern are similar with it. Compared theoretical values with the measured results, they have similar values for flat area but very different values for crowded city area and mountains area So we conclude that ETRI propagation model and theoretical model are not suitable for Busan in a free space.

• Culinary science and hospitality research
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• v.18 no.3
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• pp.180-190
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• 2012

In this study, we investigated the quality characteristics of yogurt with different amounts(0.5, 1.0, 1.5, 2.0%) of Sansuyu(Corni Fructus) extracts. The yogurt products were evaluated for sensory properties, acid production(pH, titratable acidity) and the number of viable cells during storage up to 21 days at $10^{\circ}C$. The products containing 0.5% and 1.0% Sansuyu extracts showed the highest scores for color, smell, softness, taste, and overall acceptability. For the intensity characteristic scores, color, smell and bitter taste increased as the proportion of Sansuyu extract increased. Softness was lowest, but it was highest in the 0.5% and 1.0% Sansuyu extracts. During storage, titratable acidity increased while pH gradually decreased. pH was lower in the sample with Sansuyu extract than that of the control, and the titratable acidity increased with increasing Sansuyu extract content on day 0. There was significant difference in viable cell counts among the samples. These results indicated that the yogurt added with 0.5~1.0% Sansuyu extract was acceptable.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.5
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• pp.678-688
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• 2007

In this study, we investigated the effects of ripened tomato on the Baechukimchi fermentation, by measuring sensory, physicochemical, and microbiological properties during fermentation up to 28 days. The Baechukimchi, with various levels [0, 10, 20, 30%(w/v)] of ripened tomato, was fermented at $10^{\circ}C$. The product containing 20% ripened tomato showed the highest scores for overall acceptability, sour taste, texture, sour smell, and color. The intensity characteristic scores related to sour smell and sour taste were the highest in the control, and the texture score was highest in the 20% ripened tomato sample. During fermentation, total acidity increased while pH gradually decreased. The reducing sugar and total vitamin C contents of the experimental groups with added ripened tomato were higher than those of the control. Also, the time periods to reach maximum levels of lactic acid bacteria, by log numbers of cells and total viable cells, were more delayed in the experimental groups with added ripened tomato than in the control. Overall, the results indicate that a 20% addition of ripened tomato to Baechukimchi during fermentation can enhance sensory qualities and extended the palatable period of the product.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.85-90
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• 2017

Indoor location-based services have been developed based on the Internet of Things technologies which measure and analyze users who are moving in their daily lives. These various indoor positioning technologies require separate hardware and have several disadvantages, such as a communication protocol which becomes complicated. Based on the fact that a reduction in signal strength occurs according to the distance due to the physical characteristics of the transmitted signal, RSSI technology that uses the received signal strength of the wireless signal used in this paper measures the strength of the transmitted signal and the intensity of the attenuated received signal and then calculates the distance between a transmitter and a receiver, which requires no separate costs and makes to implement simple measurements. It was applied calculating the value for the average RSSI and the RSSI filtering feedback. Filtering is used to reduce the error of the RSSI values that are measured at long distance.It was confirmed that the RSSI values through the average filtering and the RSSI values measured by setting the coefficient value of the feedback filtering to 0.5 were ranged from -61 dBm to - 52.5 dBm, which shows irregular and high values decrease slightly as much as about -2 dBm to -6 dBm as compared to general measurements.