• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.11-16
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• 2022

Although the number of foreign students is increasing with the development of internationalization, international students are often unfamiliar to the campus environment in the early stages of their school visits. This research aims to solve the problems of foreign students' unfamiliarity with the campus and the inconvenience of study and life after enrollment and to design and produce an AR campus guide application based on gamification. The application built are designed according to the targets, missions, and rewards of different places. Through the 'A Survey on the Awareness of Kongju University's Buildings' questionnaire survey of international students at National Kongju University, six place were selected as POI (Point of Interest). Missions and questions suitable for users were designed. Through this application, it is hoped that users can learn about important places of the school interestingly and learn about the use of related convenience facilities.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.236-243
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• 2022

This study attempted to find the optimum amount of manuka extract ingredient with hair treatments in different manuka extract contents and examine its bleached hair protection effects. For this, the tensile strength and moisture level of the damaged hair were measured. In addition, hair conditions were analyzed, using SEM and FE-SEM. In terms of protection of bleached hair, all experimental groups (M1, M2, M3) were more effective than the control group (no manuka extract added) in tensile strength, moisture level, hair thickness and cuticle conditions. In particular, 'M3 (3% manuka extract)' revealed the largest hair protection effects. The above results confirm that Manuka extract-added hair treatments would be useful in protecting damaged hair as well as scalp as a cosmetic material. It is anticipated that there would be further studies on diverse chemical treatments with a much wider variety of samples.

• Advances in concrete construction
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• v.13 no.2
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• pp.123-132
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• 2022

This paper aims to adapt Multilinear regression (MLR) to predict the strength and toughness of SIFCON containing various pozzolanic materials. Slurry Infiltrated Fibrous Concrete (SIFCON) is one of the most common terms used in concrete manufacturing, known for its benefits such as high ductility, toughness and high ultimate strength. Assessment of compressive strength (CS.), flexural strength (F.S.), splitting tensile strength (STS), dynamic elasticity modulus (DME) and impact energy (I.E.) using the experimental approach is too costly. It is time-consuming, and a slight error can lead to a repeat of the test and, to solve this, alternative methods are used to predict the strength and toughness properties of SIFCON. In the present study, the experimentally investigated SIFCON data about various mix proportions are used to predict the strength and toughness properties using regression analysis-multilinear regression (MLR) models. The input parameters used in regression models are cement, fibre, fly ash, Metakaolin, fine aggregate, blast furnace slag, bottom ash, water-cement ratio, and the strength and toughness properties of SIFCON at 28 days is the output parameter. The models are developed and validated using data obtained from the experimental investigation. The investigations were done on 36 SIFCON mixes, and specimens were cast and tested after 28 days of curing. The MLR model yields correlation between predicted and actual values of the compressive strength (C.S.), flexural strength, splitting tensile strength, dynamic modulus of elasticity and impact energy. R-squared values for the relationship between observed and predicted compressive strength are 0.9548, flexural strength 0.9058, split tensile strength 0.9047, dynamic modulus of elasticity 0.8611 for impact energy 0.8366. This examination shows that the MLR model can predict the strength and toughness properties of SIFCON.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.252-258
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• 2022

In this study, we propose a method for analyzing students' understanding of probability and statistics in small lectures at universities. A computer-based test for probability and statistics was performed on 95 science and engineering college students. After dividing the students' responses into 7 clusters using the Robust PCA and the Gaussian mixture model, the achievement of each subject was analyzed for each cluster. High-ranking clusters generally showed high achievement on most topics except for statistical estimation, and low-achieving clusters showed strengths and weaknesses on different topics. Compared to the widely used PCA-based dimension reduction followed by clustering analysis, the proposed method showed each group's characteristics more clearly. The characteristics of each cluster can be used to develop an individualized learning strategy.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.54-62
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• 2022

This exploratory study aims to identify effect on core nursing competency of nursing students who experienced convergence practice due to COVID-19. The subjects of this study surveyed 123 senior nursing students in U city with a structured self-report questionnaire analyzed by the SPSS 22.0 software, t-test, One-way ANOVA, correlation, and multiple regression analysis. The average scores for nursing competence scale, self-directed learning ability, learning satisfaction, learning outcomes were 3.99, 3.71, 4.11 and 4.25 out of 5.00. The factors affecting of students' nursing competencies were self-directed learning ability, learning outcomes with 29 percent being explained by these variables. Learning satisfaction did not affect core nursing competency. Through this study we found that high quality educational environment should be prepared to improve these limitations. it is considered that a clear and systematic standard for the educational environment and evaluation of clinical practice is needed.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.107-115
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• 2022

The purpose of this study was to investigate the level of infection control knowledge and standard precaution practice and to identify effecting factors on standard precaution practice among nurses in small and midium-sized hospitals. A cross-sectional study was conducted with a sample of 258 nurses from 7 hospitals between July and August 2021. The mean score of infection control knowledge and standard precaution practice was 7.25 and 3.61, respectively. There were significant differences in standard precaution practice according to clinical experience (r=.123, p=.047) and position (F=5.356, p=.005). Infection control knowledge and standard precaution practice were closely correlated (r=.421, p<.001). Position (β=-.187, p=.025) and infection control knowledge (β=.408, p<.001) had an effect on standard precaution practice. It could be possible to enhance the standard precaution practice through convergence education program related to infection control among staff nurses.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.961-968
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• 2006

Curbs and L-type gutters installed at the edge of a road are very important structures to protect pedestrians from traffic accidents and to restraint slip of cars due to rain. However, existing construction method where great parts of the construction progress are done by human power has many problems in workability, quality and cost etc. In this paper, a new construction method for improvement in workability and quality for curbs and L-type gutters is developed. In order to investigate the structural safety and quality of curbs and gutters installed by the new method, tensile and lateral load tests are performed on curbs installed by existing and new methods and uniaxial compression tests are also performed on concrete samples of gutters constructed by existing and new methods. The test results show that the alignment of curbs and the strength of gutter concrete are very much improved by applying the new method. The tensile and lateral load capacities of the curbs installed by the new method are 10.7 and 2.5 times higher than those of curbs by existing method, respectively.

• Korean Journal of General Education
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• v.8 no.4
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• pp.339-367
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• 2014

This study aims to provide an intellectual understanding of the problems of Liberal Arts, in the light of the philosophy of Derrida and Ricoeur. Especially, we consent to the 'Right to philosophy' in the thought of Derrida and to the 'Dialogism' in the philosphy of Ricoeur. According to Derrida, the Right to is linked to human rights. If human rights are important to students, the Right to philosophy is also essential for them. For we must apply the Right to philosophy in the Liberal arts. According to the philosophy of Ricoeur, the dialogism can be interpreted by the possibility of communication and the dialogical method. Dialogical method connects two often conflicting or different themes. We can say that it is somehow a discussion between different. This confrontation is to strike a balance between different perspectives. Anyway, thanks to the two themes, the Right to philosophy in Derrida and the dialogism in Ricoeur, Liberal Arts course will be enriching.

• Nuclear Engineering and Technology
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• v.56 no.4
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• pp.1153-1164
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• 2024

In recent years, unmanned ground vehicles (UGVs) have been used to search for lost or stolen radioactive sources to avoid radiation exposure for operators. To achieve autonomous localization of radioactive sources, the UGVs must have the ability to automatically determine the next radiation measurement location instead of following a predefined path. Also, the radiation field of radioactive sources has to be reconstructed or inverted utilizing discrete measurements to obtain the radiation intensity distribution in the area of interest. In this study, we propose an effective source localization framework and method, in which UGVs are able to autonomously explore in the radiation area to determine the location of radioactive sources through an iterative process: path planning, radiation field reconstruction and estimation of source location. In the search process, the next radiation measurement point of the UGVs is fully predicted by the design path planning algorithm. After obtaining the measurement points and their radiation measurements, the radiation field of radioactive sources is reconstructed by the Gaussian process regression (GPR) model based on machine learning method. Based on the reconstructed radiation field, the locations of radioactive sources can be determined by the peak analysis method. The proposed method is verified through extensive simulation experiments, and the real source localization experiment on a Cs-137 point source shows that the proposed method can accurately locate the radioactive source with an error of approximately 0.30 m. The experimental results reveal the important practicality of our proposed method for source autonomous localization tasks.

• Horticultural Science & Technology
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• v.33 no.6
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• pp.829-838
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• 2015

Garlic (Allium sativum L.), one of the oldest cultivated crops, is the most widely used Allium species belonging to the family Lilliaceae. In this study, growth characteristics, photosystem II activity, and antioxidative enzyme activity were investigated in five temperatures ($10-30^{\circ}C$) during early growth stage of garlic to determine the optimum temperature for cultivation and assess the effects of high temperature on early growth of garlic. Vegetative growth (e.g., shoot height, number of leaves) of garlic plants was greater in the temperature ranges of $15-25^{\circ}C$. However, dry weight (of shoot, bulb, and total plant) of garlic was significantly greater at $20^{\circ}C$, compared to either below or above $20^{\circ}C$. $F_v/F_o$ and $F_v/F_m$ values were highest at $15-20^{\circ}C$, and decreased above $25^{\circ}C$. The chlorophyll a fluorescence induction OKJIP transient was also considerably affected by high temperature; the fluorescence yields $F_i$ and $F_P$ decreased considerably above $25^{\circ}C$, with the increase of $F_k$ and $W_k$. Activities of catalase and superoxide dismutase in leaves and peroxidase in roots were high in $20-25^{\circ}C$, and decreased significantly in $30^{\circ}C$. These results indicate that a growth temperature of $30^{\circ}C$ inhibits early growth of garlic and that it is desirable to culture garlic plants near $20^{\circ}C$. Fluorescence parameters such a $F_v/F_o$, $F_v/F_m$, $F_k$, $ET_o/CS_m$, and $PI_{abs}$ were significantly correlated with dry weight of whole garlic plants (p < 0.01), indicating that these fluorescence parameters can be used for early assessment of high temperature effects even though the damage to the plant is not very severe.