• Journal of Wetlands Research
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• v.22 no.3
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• pp.217-224
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• 2020

Waterlogging and unintended lake formation become the main problem in some parts of the world. Starting from 1989, the waterlogging problem was observed in the farmland of the Jarso community of Konso Woreda adjacent to the Segen River in Ethiopia. Therefore, the objectives are determining the extent and causes of unintended lake formation using GIS/RS in addition to a preliminary field survey to mitigate the problem. The analysis of satellite images revealed that over the years invasion of the irrigable land by unwanted water had increased, as, in 1989, the size of the wetland area was about 8 Km²; in 2000 the size of the un-intended lake was only 8.23 ㎢. Alarmingly the size of the lake increased to 19.68 Km² in 2014. Silting up of Weir and changing the flow of River Segen and Human Intervention and changing the natural flow of River Yanda were the main causes of this unwanted prolonged water-logging. The ecological and social environment has been degrading as the people of the waterlogged area have been experiencing some settlement and losing their land. Another problem encountered was flooding from River Barka and invasion of the farmland. Sediment control best management practices (BMPs) i.e, Removal of sediment, providing sandbags and well-scheduled maintenance; Changing the junction point of Yanda and Segen River were suggested for the long-term and short term possible remedial measures. Gabion retaining wall on the bank of the Segen River to the face of Barka River was suggested to protect the farmland from flooding.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.10-18
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• 2010

This paper presents a optimization of sigmoid activation function parameter using genetic algorithms and pattern recognition analysis in input space of two spirals benchmark problem. To experiment, cascade correlation learning algorithm is used. In the first experiment, normal sigmoid activation function is used to analyze the pattern classification in input space of the two spirals problem. In the second experiment, sigmoid activation functions using different fixed values of the parameters are composed of 8 pools. In the third experiment, displacement of the sigmoid function to determine the value of the three parameters is obtained using genetic algorithms. The parameter values applied to the sigmoid activation functions for candidate neurons are used. To evaluate the performance of these algorithms, each step of the training input pattern classification shows the shape of the two spirals.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.193-203
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• 2018

The purpose of this study is to verifying the mediating effects of religious problem solving on the relationship between religious orientation and marital adjustment of married immigrant christian women. The subjects of study were 302 married immigrant women(185 protestant, 117 catholic) and survey research was conducted by using religious orientation scale, religious problem solving scale and marital adjustment scale. The data analysis was performed by using SPSS 25.0. The study results are as follow. First, it showed negative correlation between the extrinsic religious orientation and marital adjustment of married immigrant christian women and intrinsic religious disposition showed positive correlation. Second, religious problem solving style had partial mediating effects on the relation between religious orientation and marital adjustment. Subsequent studies require qualitative analysis of the religious lives of married immigrant christian women.

• The Journal of Korean Association of Computer Education
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• v.15 no.6
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• pp.1-10
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• 2012

It is reported that programming education contributes to improving problem solving skills by developing higher thinking skills. As many researches mention the need of programming education, they point to the fundamental difference by gender. This study aims to find out the cause of low interest and achievement levels in programming education in female students. To achieve our goals, we chose 133 specialized high school students in which programming class is being carried out as subjects of our study. The results of this study showed that female students had the tendency to prefer individual projects to a more systematic method of problem solving. Moreover, according to correlation analysis, higher programming skills in female students showed various problem solving processes. This study shows significance in proposing different study methods according to gender to obtain effective programming study.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.11-18
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• 2018

The purpose of this study was to analyze the effects of Socio-demographic Characteristics, perceived stress and depression of college students in Daegu and Kyungbuk provinces on problem drinking behavior. The subjects of the study were 295 college students who understood and agreed on the purpose of this study and conducted questionnaires using structured questionnaires. Data were analyzed with frequency, percentage, mean, standard deviation, t-test, ANOVA, Scheffe test, pearson correlation coefficient, and multiple regression analysis. The results showed that depression was the most influential factor in the problem drinking behavior of college students in Daegu and Kyungbuk provinces, followed by gender, academic performance, and residental type. Therefore, it is necessary to develop an intervention program that takes into account the social psychological approach to prevent depression of college students and the characteristics of gender, academic performance, and residental type in order to prevent problem drinking of college students.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.609-618
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• 2021

The purpose of this study was to investigate the effects of Mother's anger and depression on young children's problem behaviors. Data collection was from May 1, to July 1, 2019, and 244 Mother's entrusted infants and young children to three early childhood education institutions in Daejeon, Busan and Ulasn. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and multiple liner regression analysis using SPSS/WIN 24.0. The results of this study showed that the young children's problem behavior had a statistically significant positive correlation with Mother's anger(r=.261, p=<.001), and depression(r=.435, p<.001). The multiple regression analysis showed that the factors that significantly affect the young children's problem behavior were depression(𝛽=16.57, p<.001) of the Mother's and the total explanatory power was 19.2%. Therefore, it provided implication for the need to develop parent education program to support the reduction of depression factors along with the emotional support Mother's.

• Human Ecology Research
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• v.60 no.2
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• pp.187-209
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• 2022

The objective of this study was to conduct a 'Theory of Home Economics Education' class using online problem-based learning(PBL) for prospective home economics(HE) teachers. The aim was to enable teachers to analyze the learning experience in the classroom, and to prepare operational strategies for online PBL on this basis. In order to achieve this, online PBL was applied to 31 students participating in the 'Theory of Home Economics Education' at the Department of HE in a university in Seoul, and the results were collected from the learning process. This also involved a reflective journal, a survey on the learning experience and the impacts was conducted. Moreover, analysis was undertaken on the learning activities, learning difficulties, and improvements. The main research results are as follows. Firstly, students accessed Webex, an online video conferencing program, and performed two PBL tasks: 'Making Home Economics Promotion Materials' and 'Presenting Teaching Strategies to Improve Learner's Immersion in Online Classes'. Secondly, learners established their own identity of HE learned about the HE class plans themselves. They also encountered realistic experience as HE teachers and learned communication and collaboration skills. Furthermore, they acquired creative problem-solving and self-directed learning ability, community consciousness, as well as the attitude of consideration and respect. Thirdly, students lacked knowledge of learning content and encountered difficulty in solving data research, analysis processes, and unstructured problems. They were affected by a lack of time and encountered problem in communicating with other team members in an online environment. As an improvement in online class operation, it was considrered necessary to reduce the learning burden by securing time and reducing the number of assignments, as well as to explain active interaction with instructors and PBL.

• Journal of Advanced Technology Convergence
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• v.2 no.3
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• pp.33-41
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• 2023

This study aimed to improve the quality of classes through the application experience analysis after applying the adult nursing simulation practice modules with PBL. Quantitative and qualitative data such as from satisfaction, validity, self-reflection, and lecture evaluation in 68 nursing students were analyzed after the semester. Satisfaction was 4.64 points out of 5 points, and 'I want to recommend this class to other friends' was the highest. It was appropriate for the validity as 64.7% to 100% positve answer. From the qualitative data analysis of lecture evaluation, it was categorized into 5 thematic groups : 'increased immersion related to a lively class environment', 'growth of knowledge and skills through learners' active participation', 'improvement of mutual collaboration skills through team-based problem-solving process', 'Improvement of problem-solving ability through situational crisis coping process' and 'Improvement of individual comprehension through close teaching'. The continuous development of PBL learning strategies and development of various scenarios are required in the future.

• Education of Primary School Mathematics
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• v.25 no.1
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• pp.125-141
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• 2022

The purpose of this study is to analyze how pre-service teachers perceive mathematics problems by making good mathematics problems at the elementary school level and applying them to elementary school students. In this study, 86 pre-service teachers enrolled in the second and third grades of A University of Education presented good mathematics problems they thought of. In addition, these pre-service teachers predicted the solution strategies of elementary school students for the proposed mathematics problem and described the teacher's expertise while observing the problem-solving process of elementary school students. As a result of the study, pre-service teachers preferred mathematical problems needed for using mathematical concepts or algorithms, motivation, and open-ended problems as good mathematics problems, and thought that students' in-depth observation and analysis experiences could help improve teachers' problem-solving expertise. In order to enhance teachers' expertise in solving mathematics problems, the researcher proposed for pre-service teachers to observe students' mathematics problem-solving processes, to experience in developing high-quality mathematics problems, and also to distribute high-quality mathematics problems linked to textbook problems.

• Communications for Statistical Applications and Methods
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• v.9 no.3
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• pp.675-682
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• 2002

In this study, we develop the statistical analysis program for genetic analysis of diallel crosses data by SAS/MACRO, SAS/IML. Genetic analysis is to estimate of genetics parameters and heredity with reciprocal cross and without reciprocal cross. Statistical analysis program solve the problem of the difficulties on the data analysis in field denetics and breeding Therefore the user whoever want to analysis of data on genetics and breeding easily conduct the work saving time and suffering.