• Journal of Korea Port Economic Association
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• v.34 no.3
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• pp.17-52
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• 2018

The purpose of this paper is to measure the clustering change and analyze empirical results. Additionally, by using k-means, hierarchical, and mixed models on Asian container ports over the period 2006-2015, the study aims to form a cluster comprising Busan, Incheon, and Gwangyang ports. The models consider the number of cranes, depth, birth length, and total area as inputs and container twenty-foot equivalent units(TEU) as output. Following are the main empirical results. First, ranking order according to the increasing ratio during the 10 years analysis shows that the value for average linkage(AL), mixed ward, rule of thumb(RT)& elbow, ward, and mixed AL are 42.04% up, 35.01% up, 30.47%up, and 23.65% up, respectively. Second, according to the RT and elbow models, the three Korean ports can be clustered with Asian ports in the following manner: Busan Port(Hong Kong, Guangzhou, Qingdao, and Singapore), Incheon Port(Tokyo, Nagoya, Osaka, Manila, and Bangkok), and Gwangyang Port(Gungzhou, Ningbo, Qingdao, and Kasiung). Third, optimal clustering numbers are as follows: AL(6), Mixed Ward(5), RT&elbow(4), Ward(5), and Mixed AL(6). Fourth, empirical clustering results match with those of questionnaire-Busan Port(80%), Incheon Port(17%), and Gwangyang Port(50%). The policy implication is that related parties of Korean seaports should introduce port improvement plans like the benchmarking of clustered seaports.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2674-2683
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• 2015

This study was performed to determine the levels of depression(CES-D) and its related factors among the elderly people affiliated with long-term care insurance services in urban areas. The interviews were performed, during the period from March 1st, to May 31th, 2012, to 388 elderlies. As a result, the levels of depression among all subjects were 21.6% of normal group, and 78.4% of depression group. The distribution of depression according to the grade of long-term care insurance were 83.6% in Grade I, 82.1% in Grade II and 67.0% in Grade III, and the level of distribution were significantly higher according to the higher grade of long-term care insurance. For the results of multiple logistic regression analysis, the odds ratio was increased in older age group, in the poor health status group, and in the group of seldom in activity of hobbies than their counterparts, but it was decreased in the higher monthly income group than lower group. Above results suggested that the depression was significantly related with the variables such as sociodemographic characteristics, economic status, health related factors and health status.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.16-33
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• 2012

The aim of this study is to estimate aboveground biomass carbon stocks using ordinary kriging(OK) which is the most commonly used type of kriging and regression kriging(RK) that combines a regression of the auxiliary variables with simple kriging. The analysis results shows that the forest carbon stock in Danyang is estimated at 3,459,902 tonC with OK and 3,384,581 tonC with RK in which the R-square value of the regression model is 0.1033. The result of RK conducted with sample plots stratified by forest type(deciduous, conifer and mixed) shows the lowest estimated value of 3,336,206 tonC and R-square value(0.35 and 0.18 respectively) is higher than that of when all sample plots used. The result of leave-one-out cross validation of each method indicates that RK with all sample plots reached the smallest root mean square error(RMSE) value(22.32 ton/ha) but the difference between the methods(0.23 ton/ha) is not significant.

• Cartoon and Animation Studies
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• s.39
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• pp.393-412
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• 2015

See and feel the emotion recognition is the image of a person variously changed according to the environment, personal disposition. Thus, the image recognition has been focused on the emotional sensibilities computer you want to control the number studies. However, existing emotional computing model is numbered and the objective is clearly insufficient measurement conditions. Thus, through quantifiable image Emotion Recognition and emotion computing, is a study of the situation requires an objective assessment scheme. In this paper, the sensitivity was represented by numbered sizes quantified according to the image recognition calculation emotion. So apply the principal attributes of the color image emotion recognition as a configuration parameter. In addition, in calculating the color sensitivity by applying a digital computing focused research. Image color emotion computing research approach is the color of emotion attribute, brightness, and saturation reflects the weighted according to importance to the emotional scores. And free-degree by applying the sensitivity point to the image sensitivity formula (X), the tone (Y-axis) is calculated as a number system. There pleasure degree (X-axis), the tension and position the position of the image point that the sensitivity of the emotional coordinate crossing (Y-axis). Image color coordinates by applying the core emotional effect of Russell (Core Affect) is based on the 16 main representatives emotion. Thus, the image recognition sensitivity and compares the number size. Depending on the magnitude of the sensitivity scores demonstrate this sensitivity must change. Compare the way the images are divided up the top five of emotion recognition emotion emotions associated with 16 representatives, and representatives analyzed the concentrated emotion sizes. Future studies are needed emotional computing method of calculation to be more similar sensibility and human emotion recognition.

• Culinary science and hospitality research
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• v.20 no.3
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• pp.64-79
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• 2014

This study was conducted to examine changes in coffee intake according to the sociodemographic characteristics of the people over 50 and the elderly living in Korea. The data of 2,316 and 3,170 people were extracted respectively from the 2001 and 2011 Korea National Health and Nutrition Examination Surveys. The data were analyzed by gender, age, region area, marital status, educational level, household income, economic activity, and subjective health status. They were also analyzed according to gender and age by average daily intake of coffee, coffee type, place, cups of coffee a day and amount of coffee intake per serving. All statistical analyses were performed with IBM PASW Statistics (SPSS) 21.0 which is capable of complex sample design by frequency analysis, chi-square test, t-test, and logistic regression analysis. The results of the study showed that coffee consumption of the elderly was influenced by their economic activity. In 2011, elderly men ingested averagely more coffee than elderly women, and they also consumed brewed coffee mostly at workplace. Moreover, age groups of over 75 tended to consume a lot of brewed coffee. In this respect, the coffee industry should be aware of the elderly as a new consumption group. Also, this study provides a variety of coffee shops with basic data for product development and marketing activities.

• Korean Journal of Food Science and Technology
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• v.46 no.3
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• pp.269-275
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• 2014

We developed a competitive indirect enzyme-linked immunosorbent assay (ciELISA) for determining the buckwheat content in processed foods by using rabbit polyclonal antibodies against buckwheat proteins (BWP). The detection limit of this assay was $0.05-100{\mu}g/mL$. The cross-reactivities of the anti-BWP antibodies toward BWP, buckwheat flour, whole buckwheat, and cereals (wheat flour, whole wheat, black bean, mung bean, red bean, brack rice, brown rice, glutinous rice, white rice, millet, African millet, nonglutinous millet, adlay, and rye) were 100, 17.9, 11.8, and 0%, respectively. Thus, the antibodies were found to be specific for buckwheat only. When buckwheat flour was heated for 30 min, the mean assay recoveries of BWP were 83.0% at $60-90^{\circ}C$ and 44.5% at $100^{\circ}C$. The spike test showed that the mean assay recoveries of buckwheat from raw noodle, boiled noodle, starch gel, and cereal flour were 99.1, 98.6, 81.1, and 104%, respectively. For the 22 commercial items tested, the qualitative coincidence ratio of assay result and the corresponding value indicated on the item's package label was 100%. However, the average quantitative coincidence ratios from 12 commercial items were 31.6%. Thus, the results suggest that ciELISA is an efficient tool to detect buckwheat in processed foods.

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.463-472
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• 2020

The purpose of this study is to identify the BMI, diet perception and diet behavior of female university students. A descriptive survey design was used 165 students from October 29 to November 9, 2018. Data were analyzed using mean, t-test, ANOVA, cross analysis with SPSS 21.0. Total diet perception was 3.44 points, highest sub category was 'practice' with 4.00 points, followed by 'information and education' with 3.58 points, 'necessity' with 3.32 points and lowest category was 'self-recognition' with 2.84. 65 students(43.0%) were 'less than three times' in 'Number of diets' and diet methods was 65(43.0%) for 'food control' and 62(41.1%) for 'exercise'. During in a week, 98 students(84.9%) exercised within three hours, followed by 33(21.9%) who did not exercised at all. 22 students(14.6%) said they experienced damage from dieting, while the types included gastrointestinal disease, menstrual irregularity and hair loss. The total score of diet perception according to BMI was lower in the underweight group than in the normal and overweight groups(p<.001). In diet 'practice' category, low weight group scored lower than normal weight and overweight groups(p<.05). In 'information and education' category, overweight group scored the highest, followed by normal and underweight groups(p<.001). In diet 'necessity' and 'self-recognition' categories, low weight group scored lower than normal weight and overweight groups(p<.001). Diet behavior by diet perception was different in number and method of diet(p<.001). Based on the results, it is thought that attention and education are needed to form a proper diet perception and maintain healthy living for female university students.

• Journal of agricultural medicine and community health
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• v.37 no.3
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• pp.131-144
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• 2012

Objectives: This study was performed to identify the associations of empowerment and social capital (such as social participation and trust) with self-rated health in Korean communities with poor health. Methods: This study used the data from community health interviews conducted at 29 administrative sections (dong, eup, or myeon) with high mortality from August to October in both 2010 and 2011 as part of the Health Plus Happiness Plus Projects in Gyeongsangnam-do Province. The study subjects comprised 6,383 individuals composed of approximately 220 adults randomly sampled from each administrative section. The empowerment was measured with five-point Likert scale responses to seven perceived control questions (two at the individual level, five at the community level). The social participation was measured with 'participation in formal and/or informal group' and trust using responses to three questions about trust of others. Results: The high empowerment scores at both individual and community levels, social participation in informal groups, and high trust level had independent and significant associations with good self-rated health after adjusting for socio-demographic factors (sex, age, marital status, occupation, and food affordability) and health behaviors (smoking, alcohol drinking, and exercise) in the logistic regressions. There were weak but significant associations among empowerment, social participation, and trust levels. Conclusions: Empowerment, social participation, and trust were weakly inter-related and significantly associated with self-rated health. More studies are warranted for empowerment and other social capital indices in health promotion.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.165-172
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• 2014

When a vehicle is running on the road, the surface conditions and environment of road by reason of insufficient road design standards is so greatly that have an effect on drivers. In particular, the road design of the past is conducted empirical and ideal judgment, but recently, the new technical development is attempted that three and four dimensional parameters is reconsidering and adjusting at the same time. In this study, we analyzed the vehicle behavior characteristics according to the change of driving speed and vertical grades on braking at the peak point of the frozen road by using a PC-crash program for traffic accident reconstruction. As a result, we were conformed the fact that the friction coefficient of road surface and the vehicle speed is affected by vehicle behavior characteristics for intersection vertical grades and were showed the feasibility of verification through a simulation in order to solve the problem of road design in advance.

• Korean Journal of Food Science and Technology
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• v.47 no.3
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• pp.401-404
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• 2015

A sandwich ELISA (sELISA) to detect pork in processed foods was developed using goat anti-pig IgG antibodies. From the sELISA standard curve, the detection range of pork was $3-1,000{\mu}g/mL$. The cross-reactivity between the pig IgG antibodies, pork, and other meats (beef, chicken, fish, and crustaceas) was 100, 0.18, and 0%, respectively. When pork was heated for 10 min, the mean assay recoveries of pig-IgG were 79-32% at $60-70^{\circ}C$ and less than 0.11% at $80^{\circ}C$ or higher. When pork was spiked into cream soup, weaning food, fish paste, and sauce, the mean assay recoveries were 8.8, 45, 36, and 39%, respectively. In 12 commercial processed foods, the assay results coincided qualitatively with the food labels on the packages.