• Korean Journal of Child Studies
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• v.36 no.4
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• pp.177-192
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• 2015

This paper examined the longitudinal changes observed in the emotional and instrumental values of children of primiparous mothers during the first to fourth year of childhood. Using latent growth modeling, the authors analyzed the four waves of data collected from 937 mothers and their firstborn babies nationwide in South Korea. This data was harvested from the Panel Study on Korean Children conducted by the Korea Institute of Child Care and Education. The results indicate that emotional and instrumental values of children showed decreasing patterns. When each year's parenting stress was controlled, the emotional value of children tended to increase, whereas the instrumental value of children showed no significant change. Generally, it was found that the higher the parenting stress of each year, the corresponding year's value of the children tended to be lower, except in the case of the first year's emotional value of children. How these results can be best interpreted as well as the implication of these results is also discussed.

• Child Health Nursing Research
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• v.27 no.1
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• pp.34-42
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• 2021

Purpose: The purpose of this study was to identify the supportive care needs of parents of preterm children in South Korea using text data from a portal site. Methods: In total, 628 online newspaper articles and 1,966 social network service posts published between January 1 and December 31, 2019 were analyzed. The procedures in this study were conducted in the following order: keyword selection, data collection, morpheme analysis, keyword analysis, and topic modeling. Results: The term "yirundung-yi", which is a native Korean word referring to premature infants, was confirmed to be a useful term for parents. The following four topics were identified as the supportive care needs of parents of preterm children: 1) a vague fear of caring for a baby upon imminent neonatal intensive care unit discharge, 2) real-world difficulties encountered while caring for preterm children, 3) concerns about growth and development problems, and 4) anxiety about possible complications. Conclusion: Supportive care interventions for parents of preterm children should include general parenting methods for babies. A team composed of multidisciplinary experts must support the individual growth and development of preterm children and manage the complications of prematurity using highly accessible media.

• Journal of Family Relations
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• v.23 no.1
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• pp.75-95
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• 2018

Objectives: This study aims to examine a school adjustment trajectory of adolescents from continued single parent families and its associated factors by comparing it to that of adolescents of two-parent families. Methods: We selected 4th grade students from Korean Youth & Youth Panel Survey (KCYPS). Using a multi-level growth modeling, we followed the trajectory of school adjustment until 9th grade and the effects of family income, parenting styles, and academic motivations of adolescents on the intercepts and the slopes. Results: Adolescents' school adjustment were decreased from 4th grade to 7th grade and then increased from 7th to 9th grade. The adolescents of continued single parent families showed a lower school adjustment than those of two parent families and this trend remained constant during the period. The effects of family income, parenting style, and academic motivation were confirmed to explain the gap between the adolescents of single parent and two parent families. Conclusions: The results imply that an earlier intervention is necessary to reduce the gap. We need to offer income support and decent quality of work for single parent family to reduce the economic hardship and also provide parental education that is designed to enhance academic expectations and motivations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.4 no.5
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• pp.919-930
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• 2000

This paper treats a development of visual interactive modeling(VIM) system for ship scheduling problem in integer formulation. The ship scheduling problem can be described as "A problem which assigns ships and cargos to achieve maximum revenue from transportation" in brief. Since late 1970s there has been rapid growth in development and use of VIM as MS10R technology due to the development of computer technology and now VIM has become a important discipline in MS/OR and MIS society. Visual Interactive Modeling is a process that decision maker takes part in modeling life cycle -data collection, formulation, derivation of optimal solution and representation of solution - and interacts with a modeling system to achieve a user-solution appropriate for his/her ultimate goal. This paper suggests the methodology how to collect data, build and modify model, and represent solution using computer graphics as a major driving tool and demonstrates effective performance of a prototype system.pe system.

• Korean Chemical Engineering Research
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• v.46 no.2
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• pp.369-375
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• 2008

To achieve zero-emission, one of the main goals of an eco-industrial park (EIP), it is needed to develop an effective water exchange network. The network includes various subsystems and decision making processes, which make the modeling process extremely complicated. Agent-based modeling was used to simulate water exchange network in an EIP. Firm agents were created based on the behavior pattern of firms, and an agent-based model (ABM) was made with the agents, showing the growth of the exchange network. An existing steel and iron making industrial park was chosen as a case study, and the ABM model shows eco-efficient behavior with a decreased environmental cost. Water reuse network based on the ABM model results in 35% decrease of the fresh water supply and 50% reduction of the wastewater generation in EIP. A case study shows that agent-based model can be a powerful tool in modeling and designing complex eco-industrial parks, especially when a part of the system needs to be changed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.370-379
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• 2020

The purpose of this study is to estimate the longitudinal changes in the academic achievement of Korean adolescents who transition from elementary to middle school and examine the individual and social factors of the changes using piecewise growth modeling. For this study, the Multicultural Adolescents Panel Study (MAPS) data from 1st to 6th waves (4th-9th grade) were used. The results are as follows. First, the results showed that the piecewise growth function was the most appropriate method to explain changes in the academic achievement of Korean adolescents with respect to the time of vacation. Second, adolescents' academic achievement declined constantly and was greater for middle school students. Third, parental efficacy, self-esteem, and support from friends had a significant positive effect, while uninvolved parenting and acculturation stress had a significant negative effect on the initial value of academic achievement. Self-esteem and support from friends in the 4th grade prohibit its decline in the first change rate of academic achievements. Meanwhile, acculturation stress for 4th-grade students accelerates the decline of academic achievement.

• Korean Journal of Child Studies
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• v.36 no.3
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• pp.77-92
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• 2015

The purpose of this study was to employ the Latent Growth Curve Model to investigate the developmental trajectories of maternal depressive symptoms and to identify predictors that might have an effect on change and the level of developmental trajectories. The results of this study indicated that the maternal depressive levels of a high risk group had increased significantly over the past 5 years. The predictors for these developmental trajectories of maternal depressive symptoms were as follows; birth order, maternal prenatal depressive levels, self-esteem, marital satisfaction, parenting stress and the level of family crisis experienced by the high risk group.

• Proceedings of the Korean System Dynamics Society
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• 2003.08a
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• pp.1-24
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• 2003

The purpose of this paper was developing a development density control model for urban growth management, using system dynamics modeling. The density control model was developed to see how urban growth, transition, and decay occur depending on the interaction among population, houses, industry structure, land and urban infrastructure such as road, water supply, and sewage treatment facilities. Suggesting adequate level of development density control using the model was another purpose of this paper. The model was applied to An'yang city to estimate the maximum number of population, industry structures, houses, and cars that can be adequately sustained with the current An'yang city's infrastructur capacity. The computer simulation results shows that the city is overpopulated by some 90,000 people. To reduce the population to the adequate level that the current urban infrastructure can sustain, the current city regulation on floor area ratio are needed to be strengthened at least 20 to 35%.

• Agricultural and Biosystems Engineering
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• v.1 no.1
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• pp.22-29
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• 2000

The development of bio-response feedback control system known as the speaking plant approach has been a challenging task for plant production engineers and scientists. In order to achieve the aim of developing such a bio-response feedback control system, the primary concern should be to develop a practical non-invasive technique for monitoring plant growth. Those who are skilled in raising plants can sense whether their plants are under adequate water conditions or not, for example, by merely observing minor color and tone changes before the plants wilt. Consequently, using machine vision, it may be possible to recognize changes in indices that describe plant conditions based on the appearance of growing plants. The interpretation of image information of plants may be based on image features extracted from the original pictorial image. In this study, the performance of a finite element retina was optimized by a genetic algorithm. The optimized finite element retina was evaluated based on the performance of neural plant growth monitor that requires input data given by the finite element retina.

• Transactions of the Korean Society of Automotive Engineers
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• v.7 no.6
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• pp.258-269
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• 1999

It is important to evaluate fatigue damage of in-service material in respect to assure safety and remaining fatigue life in structure and mechanical components under cyclic load . Fatigue damage is represented by mathematical modelling with crack growth rate da/dN and cycle ration N/Nf and is detected by X-ray diffraction and ultrasonic wave method etc. But this is estimated generally by single parameter but influenced by many test conditions The characteristics of it indicates fatigue damage has complex fracture mechanism. Therefore, in this study we propose that back-propagation neural networks on the basis of ration of X-ray half-value breath B/Bo, fractal dimension Df and fracture mechanical parameters can construct artificial intelligent networks estimating crack growth rate da/dN and cycle ratio N/Nf without regard to stress amplitude Δ $\sigma$.