• Land and Housing Review
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• v.5 no.4
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• pp.215-224
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• 2014

National street has become one of open space for enhancing environmental qualities of city and country. In the developed countries such as France, U.K. U.S.A are designed symbolic malls, squares and street which are represented the historicity, culture and symbolic place. For place identity, we analyzed the relationship between element and user satisfaction in Sejong Avenue, Gwangwhamun Square. Data were analyzed using statistical methods such as descriptive statistics, ANOVA and correlation. Results of this study are as follows, i) factor analysis is carried out to extract spatial components and satisfaction. The satisfaction concerning transportation access was the higher than other factors, ii) user satisfaction was strongly correlated on the spatial elements, iii) user showed high user perception to study site. Results of this study can identify representative street management plan based on landscape elements and user satisfaction.

• Analytical Science and Technology
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• v.18 no.3
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• pp.241-249
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• 2005

In this study, instrumental neutron activation analysis was used to measure the concentrations of about 30 trace elements in airborne particulate (PM2.5) samples at urban area of Daejeon city located in the southwestern region of Korea. An inspection of the measurement data indicates that the distribution patterns of trace elements could clearly distinguish the elements with their concentrations ranging over five orders of magnitude. The mean values for Lu and Dy were found to be the lowest at values of 0.01 and $0.04ng/m^3$, while those for K and Fe showed the highest value of 671 and $653ng/m^3$, respectively. The results of correlation analysis showed that PM2.5 concentrations can exhibit much more enhanced correlations with the elements of earth crustal components. The results of factor analysis further indicated that there are no more than six factors with statistical significance, which may exert dominant roles in regulating the elemental concentration levels in the study area. Enrichment factor analysis supports explicit interpretation of results found by this factor analysis.

• Human Ecology Research
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• v.55 no.4
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• pp.419-431
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• 2017

This study examined the effects of children's shyness and relationships with their teacher in regards to social withdrawal. Two questionnaires were conducted with mothers and teachers of 242 three to five-year-olds attending a childcare center in Sejong city. SPSS 18.0 was used to implement descriptive analyses and hierarchical regression analyses. The results indicated that main effects of lack of sociability and assertiveness as well as interaction effects between lack of assertiveness and intimate relationship on social withdraw were found when the childteacher relationship was intimate. The results suggested that intimate child-teacher relationships adjusted to lack of assertiveness in the child. Meanwhile, interaction effects between lack of sociability and lack of assertiveness and between self-consciousness and child-teacher conflictual relationship were found in child-teacher conflictual relationships. The results indicated that the influence on alleviating social withdrawal behavior of children with a high level of shyness was limited despite establishing a close relationship with a teacher. However, the social withdrawal behavior of children became more intense if they were in a conflict relationship with a teacher; this tendency was also shown more significantly in shier children. This suggests that children's unamicable relationship with a teacher may function as a risk factor to cause social withdrawal behavior. Therefore, it is important that a teacher has the capability to understand the individual characteristics of children, particularly shyness, and encourage their sociability of children through positive relationships.

• Journal of the Korean GEO-environmental Society
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• v.17 no.6
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• pp.13-21
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• 2016

Since the landslide hazard areas prediction was analyzed by slope-angle and soil properties, regional characteristics is not taken. Therefore, in order to make more rational prediction, it is necessary to consider the characteristics of the region. Tree roots have been known to increase soil cohesion in landslide hazard areas and to vary the degrees depending on the tree type. In addition, a reasonable prediction of landslide hazard areas can be made by considering crown density based on crown distribution patterns of the area of interest. In this study, using the roots cohesion considering the crown density of the trees, which is in the landslides risk areas around Mt. Gwehwa in Sejong City, the landslides risk areas were predicted and compared with predicted results obtained by not considering root cohesion.

• Korean Journal of Agricultural Science
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• v.39 no.4
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• pp.503-509
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• 2012

This research aimed to investigate the effect of preharvest spray of aminoethoxyvinylglycine (AVG) on fruit quality of 'Nagasawa Hakuho' peach (Prunus persica Batsch). The efficacy of various concentrations of AVG (75 and 150 mg/L), which inhibits the ethylene biosynthesis, was evaluated under field conditions. Treatments were performed 21, 14 and 7 days before harvest, respectively. Fruit weight, flesh firmness, soluble solids content, acidity, ethylene production, respiration rate and skin color difference were determined at harvest time and during shelf-life at $25^{\circ}C$. Results indicated that the most appropriate timing of AVG spraying was 21 days before harvest at the concentration of 75 mg/L as shown higher firmness at harvest time and lower ethylene production and respiration rate during shelf-life. Spraying of AVG during near harvest period (14 to 7 days before harvest) inhibited fruit growth slightly, independent of concentration and did not affect fruit quality in 'Nagasawa Hakuho' peach.

• Journal of Korean Association for Spatial Structures
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• v.18 no.1
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• pp.45-53
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• 2018

Following the earthquake that shook the city of Gyeongju, Korea, in 2016, it became apparent that research on the safety of cultural heritages against the seismic hazards is necessary in Korea. Predictions of how historically significant stone pagodas would behave the earthquakes anticipated in near future, which are the subject of this study, is also required. In this study, the dynamic characteristics of 15 cultural heritage designated stone pagodas of Korea were investigated, including natural frequency and damping ratio, and the stiffness of the stone material and its contact area were determined using eigenvalue analysis by assuming the stone pagodas to be multi-degree-of-freedom structures. The results of this study enable the structural modeling of stone pagodas using a finite element analysis program and the method is expected to be useful in assessing the structural safety of stone pagodas against vertical loads as well as lateral forces, including earthquakes. Also, by identifying the dynamic characteristics of the structures, the results of this study can be utilized as a nondestructive testing method to determine the rigidity of cultural heritage structures and to identify inherent problems. The natural frequencies of the Korean stone pagodas were measured to be within 3.5~8.3Hz, excluding cases with distinct natural frequency results, and it was determined that the natural frequencies of the stone pagodas are influenced by various parameters including the height and joint stiffness of the structures.

• Journal of Science Education
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• v.43 no.3
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• pp.271-283
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• 2019

This study examines the effects of virtual reality learning materials on the learners' learning motivation. For this study, we developed a virtual reality learning material for geological learning that allows observation of the characteristics of rocks in Korean topography that is closely related to learning contents. A 15-hour class was conducted with 91 students using virtual reality learning materials developed for first-year science high school students in D city. ARCS learning motivation strategy was used. Pre-test was conducted before the start of the classes and post-test was conducted after the classes. Statistical processing was analyzed using R-3.5.1 version program. As a result, the utilization of virtual reality learning materials has significant effects on attention concentration, satisfaction, and confidence in the learner's motivation factors. Using virtual reality in geological classes, students' interest in learning activities improve their immersion and concentration, which helps them understand the learning contents better.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.541-552
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• 2019

Recently, social welfare officers are suffering from a lot of job stress due to increasing work and are carrying out emotional labor. This study assessed the effect of emotional labor on the quality of welfare service through a questionnaire survey on 937 civil servants in Sejong city and Chungcheongnam-do provinces. First, social welfare officers experienced more than average level of emotional labor, and they performed more internal behavior than surface behavior. Second, the services provided by the social welfare officers were higher than usual, followed by tangibility, assurance, reliability, empathy, and responsiveness. Third, deeping acting had a positive (+) influence on service quality among the sub-factors of emotional labor. In other words, the quality of service increases as the emotional state itself changes, On the other hand, deeping acting did not affect service quality. In the future, policy responses to excessive work burden of social welfare officers should be needed and a manual for responding to emotional labor should be provided.

• Journal of the Korean Society of Food Culture
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• v.36 no.2
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• pp.184-197
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• 2021

This study investigated the recognition and utilization status of food labeling and nutrition labeling, according to the body type recognition of university students. In a total of 351 subjects, the male subjects comprised of 25.8% belonging to the underweight awareness group, 46.3% normal weight awareness group, and 27.9% overweight awareness students. Among the female students, 29.2% belonged to the underweight awareness group, 36.6% were normal body weight, and 34.2% were the overweight group. When purchasing processed foods, the price (4.05 points), expiration date (4.03 points), and gross weight (3.88 points) were the most considered factors of the food labeling content (5 points) for all body shape recognition groups. The food labeling of canned foods was checked most by the underweight awareness group (p<0.05). For bread and snacks, the contents of food labeling were confirmed most by the normal weight awareness group and the overweight awareness group (p<0.001). For beverages, the normal weight awareness group checked more food labels (p<0.01). The underweight awareness group (55.2%) hardly checked the nutritional labeling, and 22.9% of these subjects did not check at all. Our results may provide the necessity to improve the incorrect eating habits of students, by evaluating differences between the cognitive body type and the actual body type by BMI.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.3
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• pp.42-52
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• 2022

Bus Information System (BIS) services are expanding nationwide to small and medium-sized cities, including large cities, and user satisfaction is continuously improving. In addition, technology development related to improving reliability of bus arrival time and improvement research to minimize errors continue, and above all, the importance of information accuracy is emerging. In this study, accuracy performance was evaluated using LSTM, a machine learning method, and compared with existing methodologies such as Kalman filter and neural network. As a result of analyzing the standard error for the actual travel time and predicted values, it was analyzed that the LSTM machine learning method has about 1% higher accuracy and the standard error is about 10 seconds lower than the existing algorithm. On the other hand, 109 out of 162 sections (67.3%) were analyzed to be excellent, indicating that the LSTM method was not entirely excellent. It is judged that further improved accuracy prediction will be possible when algorithms are fused through section characteristic analysis.