• Journal of the Korean Data and Information Science Society
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• v.18 no.3
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• pp.735-744
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• 2007

Support vector machine(SVM) is capable of providing a more complete description of the linear and nonlinear relationships among random variables. In this paper we propose a sparse kernel regression(SKR) to overcome a weak point of SVM, which is, the steep growth of the number of support vectors with increasing the number of training data. The iterative reweighted least squares(IRWLS) procedure is used to solve the optimal problem of SKR with a Laplacian prior. Furthermore, the generalized cross validation(GCV) function is introduced to select the hyper-parameters which affect the performance of SKR. Experimental results are then presented which illustrate the performance of the proposed procedure.

• Child Health Nursing Research
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• v.28 no.4
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• pp.247-258
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• 2022

Purpose: This study investigated the parenting experiences of mothers of young children born moderate-to-late preterm (MLPT) in South Korea. Methods: In this qualitative study, semi-structured focus group interviews were conducted with 10 mothers of MLPT children from infancy to preschool age. The interviews were video-recorded, transcribed verbatim, and analyzed using qualitative content analysis. Results: Four categories resulted from the analysis of parenting experiences of mothers with young MLPT children, as follows: "becoming a mother of an early-born child", "difficulties as the primary caregiver for a high-risk child", "helpful social support, but still a lack of professional support for parenting a high-risk child", and "mothers and children growing together". Conclusion: Mothers of young MLPT children experienced difficulties due to concerns about their child's health, growth and development, and insufficient child-rearing support. Therefore, social support systems should be strengthened and more aggressive nursing strategies should be adopted for mothers of young MLPT children.

• Asia-Pacific Journal of Business
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• v.3 no.1
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• pp.29-38
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• 2012

This study aims at evaluating the impact of network formation variables and found to have positive impact on the economic performance and growth of the enterprises. The calucation of the weighted scores of networking statements brought some affirmative results to influence the performance of the enterprises. Through multiple regression and logistic regression models it is identified that network formation variables like service receiving status, consultation of the family, other business dummy and attendance in fair have some significant positive impact both on the growth and performance of the enterprises. In addition to above variables, from the set of enterprise characteristics natural logarithm of the market value of total assets and from the entrepreneurs' characteristics set of variables, schooling year and squared value of the experience have been found to have significant positive impact. Finally, it is concluded in the study that to enhance the performance and growth of the enterprises, government and policy rlated organizations need to consider important variables that have positive impact in supplying the entrepreneurial resources especially, developing the net-working relationship.

• Journal of the Korean Operations Research and Management Science Society
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• v.18 no.2
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• pp.157-173
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• 1993

Reliability growth modeling can be a requirement when bidding on large military hardware systems. Under current reliability warranty legislature, the reliability growth model can be later translated into necessary reliability performance which must be demonstrated over an extended period of usage. In this paper the modeling situation is concerned with determining the number of spares needed to support a projected reliability growth both at the fightine and in a depot inventory. The model differs from existing models for logistics planning in that we allow for the phenomena of reliability growth. The model can also be used to determine central depot staffing requirements based upon a specified system utilization.

• Journal of Agricultural Extension & Community Development
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• v.17 no.3
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• pp.475-504
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• 2010

This study focuses on the discovering problems which have been encountered while the farm company grew from one-man business to big company. We divide a growth process of farm company into 7 phases, and analyze the problems of each phase of growth process of farm company by theoretically and empirically. The logical model methodology is selected to test the basic model, and we use 6 cases to test suggested basic model. The results of this study are as follows. It suggests that the CEO of farm enterprise or its policy maker can understand what kinds of problem they meet while the farm enterprise grew from one-man business to big company, and they can make better strategies or better support policies.

• Journal of Industrial Convergence
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• v.14 no.1
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• pp.39-45
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• 2016

This paper deals with the consideration of mathematical models with regards to growth of cluster and firms by reviewing the Metcalf and Breuner's articles. prior studies have been argued the phenomenon of local industrial clusters and districts. Several concepts have been adopted to support the success of and changes to these clusters and firm growth. Through the review of two papers, evolution of both cluster and firm growth may be achieved in terms of utilizations of the different local aspects and mechanisms. This paper supports the theoretical back bone with regards to the regional cluster policy implementing in Korea for the purpose of regional developments. In particular, a mathematical model that, on a more abstract level, captures the fundamental dynamic structure of all the observed mechanisms. On the basis of this model, the emergence and evolution of local clusters can be described. Also this model has given that the knowledge sharing between firms has an important role to firms and cluster' growth.

• Research in Mathematical Education
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• v.27 no.1
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• pp.129-150
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• 2024

This study utilized South Korean elementary and middle school student data to examine the longitudinal change trajectories of learning motivation types according to the longitudinal change trajectories of mathematics academic achievement. Growth mixture modeling, latent growth model, and multiple indicator latent growth model were used to examine various change trajectories for longitudinal data. As a result of the analysis, it was classified into 4 subgroups with similar longitudinal change trajectories of mathematics academic achievement, and the characteristics of the mathematics subject, which emphasize systematicity, appeared. Furthermore, higher mathematics academic achievement was associated with higher self-determination and higher academic motivation. And as the grade level increases, amotivation increases and self-determination decreases. This study suggests that teaching and learning support using this is necessary because the level of learning motivation according to self-determination is different depending on the level of mathematics academic achievement reflecting the characteristics of the student.

• Journal of Korea Technology Innovation Society
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• v.22 no.1
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• pp.28-49
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• 2019

This paper explores the characteristics of innovation activities in high growth firms that contribute to national and regional economic growth and job creation. The analysis is based on the 2016 KIS data to analyze the difference in innovation activities between high growth firms and general firms. The main results are as follows: First, high growth firms have a higher proportion of R&D personnel than general firms. Second, high growth firms are actively introducing product innovation, process innovation, and organizational innovation as compared to general firms. In the innovation activities related to product innovation and process innovation, there is no statistically significant difference between high growth companies and general companies except for external R&D. Third, High growth firms are more likely to cooperate with other technology partners than general firms. But, there is no statistically significant difference between high growth firms and general firms in the external knowledge search and the diversity of cooperating partners. Fourth, in terms of protecting innovation, high growth firms are more likely to use all kinds of innovation protection method, such as 'utilizing intellectual property rights', 'maintaining confidentiality', 'adopting complex design methods', 'market preemption ahead of competitors', and the most important means is the intellectual property rights. Fifth, government innovation policies that high growth firms chose as important are 'innovation subsidies and loans', 'acquirement, utilization and protection of intellectual property rights' and 'human resource support'.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.1-17
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• 2022

This study studied the effect of the TIPS support project of the Ministry of SMEs and Startups on the entrepreneurship of TIPS start-ups. The Tips start-up company, which is the subject of the study, was selected for the TIPS support project, participated in all commercialization funds, incubation facilities, and capacity building programs, and was selected as a company that received private investment. One-on-one in-depth interviews were conducted for about eight weeks from January 14, 2022 to March 11, 2022. For this study, the TIPS support project was subdivided into four categories: commercialization funds, incubation facilities, capacity building programs, and private investment attraction, and entrepreneurship factors were classified into four categories: innovation, challenge spirit, leadership, and risk-taking. As a result of the in-depth interview, the influence of the TIPS support project on entrepreneurship factors was in the order of challenge spirit, innovation, risk-taking, and leadership. Specifically, it was found that commercialization funds influenced innovation and risk-taking, incubation facilities had a challenge spirit and risk-taking, competency-building programs had a challenge spirit and leadership, and attracting private investment had an influence on innovation and challenge spirit. The implications of this study are that the TIPS support project, a private investment-led technology start-up support program, was introduced in 2013 and as of the end of March 2022, and a report was prepared focusing on visible performance such as private investment performance and employment rate. However, through this study, by analyzing whether the TIPS support project contributed to the cultivation of entrepreneurship for TIPS start-ups, it was found that it had a positive influence not only on quantitative growth but also on qualitative growth.

• Korean Journal of Plant Resources
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• v.12 no.3
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• pp.204-208
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• 1999

We carried out this study to confirm the possibility of C. wilfordii cultivation using crop as a substitute for stake or net, and tested sit support crops, i.e., soybean, peanut, Perilla frutescens var. acuta Kudo, Job's tears, sorghum, and corn compared with net support. Effects of support crops on growth and root yield of C. wilfordii were as follows. Attracting efficiency of vine showed 94∼100% among crops. The number of branches per plant was 1 or 2 more in p. frutescens var. acuta Kudo, Job's tears, and sorghum support than in net support. Fresh root yield per 10a was 919kg in net support, while it was 717kg in P. frutescens var. acute Kudo, 656kg in Job' tears, and 652kg in sorghum support. However, the problem of decreased yield in these support crops could be overcome by cost saving of staking installation and by harvesting support crops. Therefore, C. wilfordii cultivation using P. frutescens var. acute Kudo, Job's tears, and sorghum as support crops showed most effective in labor and cost saving.