• Culinary science and hospitality research
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• v.17 no.3
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• pp.236-258
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• 2011

This study investigates the intake and consumption behavior for milk and dairy products among middle school students in Gyeonggi Province. 'The result of the study is as follows. Only 37.4% of the subjects drink milk everyday, and 56.7% of them drink one cup of milk a day. 69.2% of them usually drink plain milk whereas most of them prefer flavored milk rather than plain milk. Reasons to drink milk are 'want to be tall' and 'good to drink' while the reasons not to drink milk are 'its bad taste' and 'prefer other beverages.' 36.7% take dairy products 3~4 times per week. Male students prefer ice-cream among dairy products while female students prefer liquid-type yoghurt. Most of the students consume dairy products for 'good taste,' 'good to eat,' 'want to be tall' in order. Those who don't consume dairy products say the major reason to dislike dairy products is 'their families do not drink dairy products at home'. As for the health benefit of dairy products, 79.9% of the subjects think that the products are of no effect. When they buy milk and dairy products, the most important standard of selection is 'shelf-life' for milk and 'favorite dairy products' for dairy products. Most of the students think that 'better taste and qualify' and 'better sanitation' will increase their consumption of milk and dairy products.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.2
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• pp.116-128
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• 2011

Some subway passengers may want to have their fresh vegetables purchased through internet at a service facility within the subway station of the Metropolitan Seoul subway system on the way to home, which raises further questions about which stations are chosen to locate service facilities and how many passengers can use the facilities. This problem is well known as the pickup problem, and it can be solved on a traffic network with traffic flows which should be identified from origin stations to destination stations. Since flows of the subway passengers can be found from the smart card transaction database of the Metropolitan Seoul smart card system, the pickup problem in the Metropolitan Seoul subway system is to select subway stations for the service facilities such that captured passenger flows are maximized. In this paper, we have formulated a model of the pickup problem on the Metropolitan Seoul subway system with subway passenger flows, and have proposed a fast heuristic algorithm to select pickup stations which can capture the most passenger flows in each step from an origin-destination matrix which represents the passenger flows. We have applied the heuristic algorithm to select the pickup stations from a large volume of traffic network, the Metropolitan Seoul subway system, with about 400 subway stations and five millions passenger transactions daily. We have obtained not only the experimental results in fast response time, but also displayed the top 10 pickup stations in a subway guide map. In addition, we have shown that the resulting solution is nearly optimal by a few more supplementary experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.726-734
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• 2015

Relational databases used by structuralizing data are the most widely used in data management at present. However, in relational databases, service becomes slower as the amount of data increases because of constraints in the reading and writing operations to save or query data. Furthermore, when a new task is added, the database grows and, consequently, requires additional infrastructure, such as parallel configuration of hardware, CPU, memory, and network, to support smooth operation. In this paper, in order to improve the web information services that are slowing down due to increase of data in the relational databases, we implemented a model to extract a large amount of data quickly and safely for users by processing Hadoop Distributed File System (HDFS) files after sending data to HDFSs and unifying and reconstructing the data. We implemented our model in a Web-based civil affairs system that stores image files, which is irregular data processing. Our proposed system's data processing was found to be 0.4 sec faster than that of a relational database system. Thus, we found that it is possible to support Web information services with a Hadoop-based big data processing technique in order to process a large amount of data, as in conventional relational databases. Furthermore, since Hadoop is open source, our model has the advantage of reducing software costs. The proposed system is expected to be used as a model for Web services that provide fast information processing for organizations that require efficient processing of big data because of the increase in the size of conventional relational databases.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.137-145
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• 2018

In this study, we categorized the subjective recognition of 20's young generation about virtual currency into a few meaningful types and analyzed the characteristics of each type using the Qmethodology. For the Qpopulation, we selected a total of 337 samples which were derived from the Internet search, in-depth interviews, and literature survey, chose the final 51 Qstatements, and performed the Q-classification for the 40 P samples of 20's, including university students. Then, we analyzed the results using the PC-QUANL program. From the analysis, we found meaningful differences between each recognition type, and, after classifying the recognition types into four, we named each of them as 'investment-vehicle' type, 'future-technology' type, 'kind of gambling-like plays' type, and 'foamy faddishness' type. We hope that this research result can contribute to follow-up research and social discussion as base materials.

• Journal of dental hygiene science
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• v.14 no.2
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• pp.191-197
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• 2014

The purpose of this study was to evaluate the tooth whitening efficacy of 2.9% hydrogen peroxide strip with primer gel of alkaline condition and containing metallic salts as catalyst in-vitro. Hydroxyapatite (HAP) disk was made by compressing and sintering 0.3 g of mixture of HAP powder and polyvinyl alcohol. This HAP disk was stained using modified Stookey's methods. Main bleaching materials were 2.9% hydrogen peroxide strips and the primer gel containing metallic salts as catalyst and pH controller. Stained HAP disks were allocated to each control or experimental groups by color grade. Stained HAP disks were treated for 30 minutes in $37^{\circ}C/80%$ incubator for wetting, then each primer gel according to control or each test group was spread and strips were attached. After 30 minutes for each group strips were detached and HAP disks were washed, dried then color was measured by colorimeter. Efficacy was evaluated by comparing ${\Delta}L$ values of HAP disks at baseline and after treated. Among some kinds of metallic salts for as catalyst, ferric chloride showed best improvement of efficacy and it was statistically significant (p<0.05) compared to control group. Evaluating whitening efficacy according to various pH of primer, efficacy using primer of alkaline condition was increased significantly (p<0.05) compared to control and primers of acidic or neutral conditions. Evaluating whitening efficacy for time course, efficacy of test group for 30 minutes was similar to that of control for 120 minutes. It can be concluded that 2.9% hydrogen peroxide strips using with primer of alkaline condition and containing ferric chloride showed significantly increased whitening efficacy compared to the case of strips only.

• Journal of Dairy Science and Biotechnology
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• v.33 no.1
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• pp.75-82
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• 2015

Chitosan provides beneficial effects such as decrease in cholesterol, weight loss, and antioxidative effects. The manufacture of Maribo cheese containing powdered chitosan (CP) or nanopowdered chitosan (NCP) is not yet established. Thus, this study was conducted to determine the effect of CP and NCP on Maribo cheese's physicochemical properties. The curd was added with 0.2 and 0.5% of CP and NCP, respectively, after the second whey drainage. The pH changed and the lactic acid bacterial population decreased in all treatments. Additionally, WSN and TBA gradually increased during the ripening of cheese. The TP of control cheese was higher than that of another group. On the basis of the obtained results, consumer preference test on overall acceptability of 0.2% NCP was good-41%, great good 13%. It was concluded that the quality of Maribo cheese was not affected by adding chitosan. Furthermore, 0.2% NCP was preferred during cheese ripening and observed the possibility of functional cheese than another group.

• Journal of the Korean Society of Food Science and Nutrition
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• v.32 no.7
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• pp.965-970
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• 2003

This study has been performed to develope a method for the simultaneous determination of 1,4-dioxane (DOX), epichlorohydrin (EPC), propylene chlorohydrin (PCH), ethylene chlorohydrin (ECH) and 1,3-dichloro-2-pro-panol (DCP) in polysorbates, chloline chloride, choline bitartrate, modified starch and spices by purge and trapgas chromatography. Experimental design was used to select a suitable trap by measuring the limit of detection (LOD) and to investigate the effect of temperature and salt of extraction, and the percentage of recovery in various matrix. The LOD of DOX, EPC, PCH, ECH and DCP were 1.38$\mu\textrm{g}$, 0.23$\mu\textrm{g}$, 3.30$\mu\textrm{g}$, 3.97$\mu\textrm{g}$, 20.43$\mu\textrm{g}$ respectively, by means of using Vorcarb 3000 trap with 5$0^{\circ}C$ sample sparger. Excluding EPC, the recoveries of target compounds were above 90% in all matrix. Target compounds in polysorbates (17), choline chloride (5), choline bitartrate (5), modified starch (8) and spices (25) were not detected. But 2.5 ppm of DOX was detected in Tween 80.

• Korean Journal of Remote Sensing
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• v.32 no.6
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• pp.617-627
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• 2016

Many kinds of OGC-based web standards have been utilized in the lots of geo-spatial application fields for sharing and interoperable processing of large volume of data sets containing satellite images. As well, the number of cloud-based application services by on-demand processing of virtual machines is increasing. However, remote sensing applications using these two huge trends are globally on the initial stage. This study presents a practical linkage case with both aspects of OGC-based standard and cloud computing. Performance test is performed with the implementation result for cloud detection processing. Test objects are WPS 2.0 and two types of geo-based service environment such as web server in a single core and multiple virtual servers implemented on OpenStack cloud computing environment. Performance test unit by JMeter is five requests of GetCapabilities, DescribeProcess, Execute, GetStatus, GetResult in WPS 2.0. As the results, the performance measurement time in a cloud-based environment is faster than that of single server. It is expected that expansion of processing algorithms by WPS 2.0 and virtual processing is possible to target-oriented applications in the practical level.

• Analytical Science and Technology
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• v.29 no.6
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• pp.249-254
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• 2016

Looking at the current status of beverages sold from vending machines in subway stations in Seoul, it was found that carbonated beverages accounted for the highest percentage of beverages on sale in vending machines, representing 36 % of all beverages sold. Survey respondents purchased carbonated drinks or sports drinks containing high levels of sugar to quench their thirst. Investigation of the sugar content of beverages frequently sold in vending machines showed that a serving of carbonated beverage contained an average of 30.4 g of sugar, or as much as 50.1 g of sugar (equivalent 10 to 17 cubes; 1 cube = 3 g of sugar). This amount corresponded, on average, with 60 % of the WHO recommended daily sugar intake (50 g). Surprisingly, with certain carbonated beverages, drinking a single can is equivalent to consuming the total recommended daily sugar intake of 50 g.

• Journal of dental hygiene science
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• v.18 no.2
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• pp.76-84
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• 2018

Wet wipes are being increasingly used because of their convenience. Particularly, oral wet wipes are useful for regular cleaning of a baby's mouth after birth. Therefore, the consumption of oral wet wipes has increased over the past few years and a variety of products are commercially available. However, product information on safety is not sufficiently provided and still raises doubts regarding adverse effects. To confirm the safety of wet wipes as an oral hygiene item and provide information for their use, we investigated the cytotoxicity of oral wet wipes and verified the underlying mechanism. The anti-bacterial effect of oral wet wipes was analyzed using the disk diffusion method. The cytotoxic effects of oral wet wipes were observed based on morphological changes using microscopy and determined using a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay in gingival epithelial cells and gingival fibroblasts. Evaluation of apoptosis by oral wet wipes was explored using propidium iodide flow cytometric analysis and a terminal deoxynucleotidyl transferase (TdT)-mediated deoxyuridine triphosphate (dUTP) nick-end labeling (TUNEL) assay. Apoptosis-related molecules were also analyzed using western blotting. Five types of oral wet wipes were tested, and two products from Fisher-Price and Dr. Kennedy revealed strong cytotoxic effects on gingiva epithelial cells and gingiva fibroblasts, although they also showed intense anti-bacterial effects on oral bacteria. Cell cycle arrest in the G2/M phase and apoptosis were observed based on treatment of extracts from Fisher-Price and Dr. KENNEDY. Relatively high TUNEL levels, reduction of proliferating cell nuclear antigen and cyclin-dependent kinase 4 expression, and fragmentation of poly (ADP-ribose) polymerase were also elucidated. These results suggest that commercial oral wet wipes could exert cytotoxic influences on oral tissue, although there are anti-bacterial effects, and careful attention is required, especially for infants and toddlers.