• Food Science and Preservation
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• v.16 no.3
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• pp.342-347
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• 2009

We sought to improve the methods for washing fresh raw ginseng. The quality of ginseng surface-washed by different methods was evaluated during storage at 10C and $20^{\circ}C$. The raw ginseng surface-washing method was a full-cone spray-type procedure using water and air. The water for decontamination had an electrolysis value of 80 ppm, also known as electrolysis water $2^{\circ}C$ water and water containing 5 ppm chlorine dioxide, were also used for decontamination. The Hunter color (${\Delta}E$) of ginseng washed with water withan electrolysis value of 80 ppm, or water with 5 ppm chlorine dioxide, was greater than that seen after other washing methods were used. The weight loss after washing with 5 ppm chlorine dioxide water was similar to that seen after washing with $2^{\circ}C$ water or 80 ppm electrolysis water. Reductions in total microorganism levels, and counts of yeasts and molds, assayed 10 days after washing with 5 ppm chlorine dioxide water were greater than seen after use of other sterilization methods. Quality maintenance on storage, at both 10C and 20C, after washing with 80 ppm electrolysis water, was better than that noted after other sterilization methods. The moisture content of washed ginseng was similar under all storage conditions tested.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.4
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• pp.116-130
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• 2019

In South Korea, forest fire occurrences are increasing in size and duration due to various factors such as the increase in fuel materials and frequent drying conditions in forests. Therefore, it is necessary to minimize the damage caused by forest fires by appropriately providing the probability of forest fire risk. The purpose of this study is to improve the Daily Weather Index(DWI) provided by the current forest fire forecasting system in South Korea. A new Fire Risk Index(FRI) is proposed in this study, which is provided in a 5km grid through the synergistic use of numerical weather forecast data, satellite-based drought indices, and forest fire-prone areas. The FRI is calculated based on the product of the Fine Fuel Moisture Code(FFMC) optimized for Korea, an integrated drought index, and spatio-temporal weighting approaches. In order to improve the temporal accuracy of forest fire risk, monthly weights were applied based on the forest fire occurrences by month. Similarly, spatial weights were applied using the forest fire density information to improve the spatial accuracy of forest fire risk. In the time series analysis of the number of monthly forest fires and the FRI, the relationship between the two were well simulated. In addition, it was possible to provide more spatially detailed information on forest fire risk when using FRI in the 5km grid than DWI based on administrative units. The research findings from this study can help make appropriate decisions before and after forest fire occurrences.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.583-592
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• 2014

This study was carried out to investigate the operational time and productivity of logging operation by chain saw, yarder attached on tractor, tower-yarder, mini-truck, mini-forwarder, and chipping operations by mini-chipper, large-chipper in order to develop the efficient logging operation system for utilization of forest-biomass. As a result, the average felling and bucking time using chain saw at the site 1 and 2 was observed to be 182.7 sec/cycle and 518.5 sec/cycle respectively. The average yarding time was 202.5 sec/cycle using yarder attached on tractor and 295.1 sec/cycle using tower-yarder. The average forwarding time was 2,073 sec/cycle using mini-truck and 2,248.4 sec/cycle using mini-forwarder. The operational time of felling and bucking using chain-saw can be delayed according to the direction of fallen trees. The selection of felling direction is very important to yarding operation because the direction between width-yarding and felling are interrelated. Productivity can be improved through educating and training operators in the yarding operations. Mini-forwarder is needed to use because of higher productivity and lower cost than mini-truck. The operational productivity of felling and bucking by chain saw was $66.96m^3/man{\cdot}day$ and $43.86m^3/man{\cdot}day$ at site 1 and 2 respectively. The yarding productivity was $5.68m^3/man{\cdot}day$ by yarder attached on tractor, $10.74m^3/man{\cdot}day$ by tower-yarder. The forwarding productivity was $21.29m^3/man{\cdot}day$ by mini-truck, $28.57m^3/man{\cdot}day$ by mini-forwarder. The chipping productivity was $4.42m^3/man{\cdot}day$ by mini-chipper, $21.87m^3/man{\cdot}day$ by large-chipper.

• Journal of the Korean Society of Food Science and Nutrition
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• v.37 no.5
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• pp.589-597
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• 2008

The purpose of this study is to arrange for the systematic execution of safety control in children's foods through nutrition and hygiene standard suggestions and guidelines for quality certification system in children's preferable food. Aiming to achieve this objective, the study researched the present status of children’s preferable food sold near elementary schools, elicited the hazards and problems of those foods and selected nutritional and hygienic hazard components in those foods. To suggest the standards and guidelines for quality certification in children's preferable food, the study referred to sundry records, surveyed the practical cases of relevant policies and standards at home and abroad. We studied the standard of nutrition for the quality certification in those foods for sugar, fat, sodium, and additives (tar color: red No. 2 in a ban on use, caffeine), microorganism (aflatoxin $B_1$ (${\mu}g$/kg) and pathogenic bacteria (Staphylococcus aureus, Bacillus cereus, Salmonella spp.), which are the nutrients that may hamper health when taken in a large amount, and the standard for a diet restricted to under 200 kcal per one serving size. Results of distribution of processed foods (242 samples) by nutrition standards were as follows. In case of all ‘low’ level in total sugar, total fat and sodium, 0.4% of total samples was possible to be certified, In case of all ‘medium’ level in total sugar, total fat and sodium, maximumly 22.3% of total samples was possible to be certified. In case of all medium level in nutrients and $\leq$200 kcal/serving, 17.8% of total samples was possible to be certified. Certified food types was milk products and beverages.

• Journal of the Korean Society of Food Science and Nutrition
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• v.37 no.5
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• pp.578-588
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• 2008

The objective of this study was to evaluate associations of dietary sodium (Na) intake with salt-related dietary behaviors of 218 university students (95 men; 123 women) living in Gyeonggi area. Dish frequency questionnaire (DFQ) was used to identify salt-related dietary behaviors and to determine Na intakes. In men, systolic & diastolic blood pressures, Na intakes and DFQ-15 scores were significantly higher than in women. High-salt intake group (HS), classified by DFQ-15, had higher scores of high-salt dietary attitude and more Na intakes than low-salt intake group (LS). HS took protein foods and had balanced diets less frequently than LS (p<0.05). HS had fried dishes & fatty meats, and added salt to dishes more frequently (p<0.05). HS and LS had differences in preference of soy-boiled and Chinese or Japanese foods, in intake frequency of bean-paste soup, in use of soy sauce with fried food or raw fish, and in salt addition to dishes at the table (p<0.05). HS, classified by Na intakes, had high-salt dietary attitudes such as preference of seasoned rice & soy-boiled foods and habitual addition of soy sauce or salt to dishes at the table. The subjects using food labels when purchasing had better salt-related attitudes & behaviors, and lower DFQ-15 scores & Na intakes than the non-users (p<0.01). Self-assessed HS (SHS) had worse salt-related attitudes and behaviors (p<0.05). Male self-assessed LS (SLS) had higher Na intakes, which indicated that self-assessment of salt preference did not actually reflect Na intake. In summary, male university students belonged to a high-risk group of salt intakes, and HS preferred soy-boiled foods or fatty dishes, frequently added salt to dishes and rarely had balanced diets. These results suggest that nutrition education programs for university students should include fundamental dietetics and a balanced diet, in addition to a low-Na diet.

• KDI Journal of Economic Policy
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• v.12 no.1
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• pp.111-125
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• 1990

For the last several years, considerable criticism has been leveled against Korea's exchange rate management. While Korea was designated a currency manipulator by the U.S., domestically it is often complained that the won/dollar rate did not adequately reflect changes in Korea's export competitiveness and fluctuations in the exchange rates of major currencies. In view of this situation, Korea changed its exchange regime at the beginning of March this year from the dual currency basket system to a more flexible one, called a "market average rate regime". Under this new regime, the won rate is determined in the exchange market based upon the supply of and demand for foreign exchange and is allowed to freely fluctuate each day within a + 0.4 % range. This paper, first, seeks to evaluate Korea's exchange rate management under the dual basket regime of the 1980s, and then to construct an optimal currency basket for the won which could provide a proper indicator for exchange market intervention under the new market average rate regime. The analysis of fluctuations in the real effective exchange rate (REER) of the won indicates that the won rates in the 1980s failed not only to offset changes in relative prices between home and trading partner countries, but also to properly respond to variations in major exchange rates as further evidenced by sizable fluctuations in the nominal effective rates of the won. In other words, the currency basket regime which was adopted in 1980 for the stabilization of the REER of the won has not been operated properly, mainly because authorities often resorted to policy considerations in determining the won's rate. In the second part of the paper, an optimal currency basket for Korea is constructed, designed to minimize the fluctuations in the REER of the won without including policy considerations as a factor. It is recognized, however, that both domestic and foreign price data are not available immediately for the calculation of the REER. For this problem, the approach suggested by Lipschitz (1980) is followed, in which optimal weights for currencies in the basket are determined based upon the past correlation between price and exchange rates. When the optimal basket is applied to Korea since the mid-80s, it is found that the REER of the won could have been much more stable than it actually was. We also argue for the use of variable weights rather than fixed ones, which would be determined by the changing relationship between exchange rates and relative prices. The optimal basket, and the optimal basket exchange rate based on that basket, could provide an important medium- or long-term reference for proper exchange market intervention under the market average rate regime, together with other factors, such as developments in the current account balance and changes in productivity.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.7
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• pp.1071-1076
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• 2016

The feasibility of incorporating aronia powder (AP) as a value-added food ingredient into convenient food products was investigated using cookie as a model system. AP was incorporated into cookies at amounts of 0, 1, 2, 3, and 4% (w/w) based on total weight of wheat flour. The pH level of cookie dough decreased significantly with increasing levels of AP (P<0.05), whereas moisture content and density were not directly affected by levels of AP incorporation. The spread ratio increased significantly upon addition of AP; however, it was not significantly affected by level of AP incorporation. The loss rate of cookies decreased significantly with increasing levels of AP (P<0.05). In terms of color, lightness and yellowness decreased while redness increased significantly (P<0.05) with increasing levels of AP. Use of AP significantly decreased hardness of cookies (P<0.05), but no significant differences were found between control and 1% sample, 1% and 2% sample, 2% and 3% sample, and 3% and 4% sample (P>0.05). 2,2-Diphenyl-1-picrylhydrazyl (DPPH) and 2,2'-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid (ABTS) radical scavenging activities were significantly elevated by AP addition, and they increased significantly as AP concentration increased in the formulation (P<0.05). Correlation analysis indicated that acceptances of color and chewiness were negatively correlated well with the level of AP incorporation, density and moisture content of cookie dough, and cookie redness, whereas they were positively correlated with pH of cookie dough, loss rate, and hardness (P<0.01 or P<0.05). Finally, consumer acceptance test indicated that the highest levels of AP incorporation (4%) had an adverse effect on general consumer preferences. In contrast, cookies with moderate levels of AP (2%) are recommended based on overall scores to take advantage of the antioxidant properties of AP without sacrificing consumer acceptability.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.243-264
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• 2018

Although the worldwide battery market is recently spurring the development of lithium secondary battery, lead acid batteries (rechargeable batteries) which have good-performance and can be reused are consumed in a wide range of industry fields. However, lead-acid batteries have a serious problem in that deterioration of a battery makes progress quickly in the presence of that degradation of only one cell among several cells which is packed in a battery begins. To overcome this problem, previous researches have attempted to identify the mechanism of deterioration of a battery in many ways. However, most of previous researches have used data obtained in a laboratory to analyze the mechanism of deterioration of a battery but not used data obtained in a real world. The usage of real data can increase the feasibility and the applicability of the findings of a research. Therefore, this study aims to develop a model which predicts the battery deterioration using data obtained in real world. To this end, we collected data which presents change of battery state by attaching sensors enabling to monitor the battery condition in real time to dozens of golf carts operated in the real golf field. As a result, total 16,883 samples were obtained. And then, we developed a model which predicts a precursor phenomenon representing deterioration of a battery by analyzing the data collected from the sensors using machine learning techniques. As initial independent variables, we used 1) inbound time of a cart, 2) outbound time of a cart, 3) duration(from outbound time to charge time), 4) charge amount, 5) used amount, 6) charge efficiency, 7) lowest temperature of battery cell 1 to 6, 8) lowest voltage of battery cell 1 to 6, 9) highest voltage of battery cell 1 to 6, 10) voltage of battery cell 1 to 6 at the beginning of operation, 11) voltage of battery cell 1 to 6 at the end of charge, 12) used amount of battery cell 1 to 6 during operation, 13) used amount of battery during operation(Max-Min), 14) duration of battery use, and 15) highest current during operation. Since the values of the independent variables, lowest temperature of battery cell 1 to 6, lowest voltage of battery cell 1 to 6, highest voltage of battery cell 1 to 6, voltage of battery cell 1 to 6 at the beginning of operation, voltage of battery cell 1 to 6 at the end of charge, and used amount of battery cell 1 to 6 during operation are similar to that of each battery cell, we conducted principal component analysis using verimax orthogonal rotation in order to mitigate the multiple collinearity problem. According to the results, we made new variables by averaging the values of independent variables clustered together, and used them as final independent variables instead of origin variables, thereby reducing the dimension. We used decision tree, logistic regression, Bayesian network as algorithms for building prediction models. And also, we built prediction models using the bagging of each of them, the boosting of each of them, and RandomForest. Experimental results show that the prediction model using the bagging of decision tree yields the best accuracy of 89.3923%. This study has some limitations in that the additional variables which affect the deterioration of battery such as weather (temperature, humidity) and driving habits, did not considered, therefore, we would like to consider the them in the future research. However, the battery deterioration prediction model proposed in the present study is expected to enable effective and efficient management of battery used in the real filed by dramatically and to reduce the cost caused by not detecting battery deterioration accordingly.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.37-57
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• 2018

With the spread of smart phones, interest in mobile media is on the increase as useful media recently. Mobile media is assessed as having differentiated advantages from existing media in that not only can they provide consumers with desired information anytime and anywhere but also real-time interaction is possible in them. So far, studies on mobile advertising were mostly researches analyzing satisfaction with, and acceptance of, mobile advertising based on survey, researches focusing on the factors affecting acceptance of mobile advertising messages and researches verifying the effect of mobile advertising on brand recall, advertising attitude and brand attitude through experiments. Most of the domestic mobile advertising studies related to advertisement effect and advertisement attitude have been conducted through experiments and surveys. The advertising effectiveness measure of the mobile ad used the attitude of the advertisement, purchase intention, etc. To date, there have been few studies on the effects of mobile advertising on actual advertising data to prove the characteristics of the advertising platform and to prove the relationship between the factors influencing the advertising effect and the factors. In order to explore advertising effect of mobile advertising platform currently commercialized, this study defined advertising characteristics and media characteristics from the perspective of advertiser, advertising platform and publisher and analyzed the influence of each characteristic on advertising effect. As the advertisement characteristics, we classified advertisement format classified by bar type and floating type, and advertisement material classified by image and text. We defined advertisement characteristics of advertisement platform as Hedonic and Utilitarian media characteristics. As a dependent variable, we use CTR, which is the ratio of response (click) to ad exposure. The theoretical background and the analysis of the mobile advertising business, the hypothesis that the advertisement effect is different according to the advertisement specification, the advertisement material, In the ad standard, bar ads are classified as static framing, Floating ads can be categorized as dynamic framing, and the hypothetical definition of floating advertisements, which are high-profile dynamic framing ads, is highly responsive. In advertising, images with high salience are defined to have higher ad response than text. In the media characteristics classified as practical / hedonic type, it is defined that the hedonic type media has a more relaxed tendency than the practical media, and there is a high possibility of receiving various information because there is no clear target. In addition, image material and hedonic media are defined to be highly effective in the interaction between advertisement specification and advertisement material, advertisement specifications and media characteristics, and advertisement material and media characteristics. As the result of regression analysis on each characteristic, material standard, which is a characteristic of mobile advertisement, and media characteristics separated into 'Hedonic' and 'Utilitarian' had significant influence on advertisement effect and mutual interaction effect was also confirmed. In the mobile advertising standard, the advertising effect of the floating advertisement is higher than that of the bar advertisement, Floating ads were more effective than text ads for image ads. In addition, it was confirmed that the advertising effect is higher in the practical media than the hedonic media. The research was carried out with the big data collected from the mobile advertising platform, and it was possible to grasp the advertising effect of the measure index standard which is used in the practical work which could not be grasped in the previous research. In other words, the study was conducted using the CTR, which is a measure of the effectiveness of the advertisement used in the online advertisement and the mobile advertisement, which are not dependent on the attitude of the ad, the attitude of the brand, and the purchase intention. This study suggests that CTR is used as a dependent variable of advertising effect based on actual data of mobile ad platform accumulated over a long period of time. The results of this study is expected to contribute to establishment of optimum advertisement strategy such as creation of advertising materials and planning of media which suit advertised products at the time of mobile advertisement.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.3
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• pp.1-12
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• 2014

Urban Green space takes charge of the important role for the physical activity and promotion of health to the residents. Therefore, this study is trying to examine the relationship between the various characteristics of green space and green space usage for physical activity and health promotion. A questionnaire survey was conducted to obtain the information about patterns of green space usage and perceived neighborhood environments for the residents living in Changwon-si, Gyeongsangnam-do(n=541). Geographic Information System(GIS) was used to construct spatial data about green space accessibility and physical neighborhood environments. A Multiple Linear Regression model was used to examine the association between the characteristics of green space and physical activity, perceived health status and BMI(Body Mass Index). The study results revealed that the residents' physical activities are positively and directly influenced by the number of available public parks and green spaces in the vicinity(${\leq}200m$). The frequency at which residents witness others exercising nearby or the perceived abundance of low-cost gym facilities also factor as positive influences. The closer to the park, the higher the number of parks and area of green spaces, the more comfortable the walk thereto and the denser the neighboring residential area distribution, the perceived health level was found to be the more positively influenced. Further, it was verified that BMI is correlated with the number of public parks and green spaces within 400 m of the resident's home as well as the safety of walkways, the density of neighboring residential areas, the ratio of road, and the density of crosswalk. The significant multiple regression models between the characteristics of green spaces and physical activities and perceived health level were extracted within the significance level of 10%. This study will contribute to provide better understanding the ways in which green space and neighborhood characteristics are associated with physical activity and health. The result of this research will be available in the landscape architecture plan aimed at improving the use of green space for physical activity and reducing obesity.