• Korean Medical Education Review
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• v.16 no.1
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• pp.32-41
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• 2014

The purpose of this study was to investigate the differences in non-cognitive factors, specifically achievement goal orientation (AGO) and self-regulated learning (SRL), influencing the academic achievement (AC) of medical and nursing students. 186 students, including 110 medical students and 76 nursing students, completed a survey, which addressed the factors of AGO and SRL. There were significant differences in the factors that affected the academic achievement of medical and nursing students. Multiple regression revealed that the AC of medical students was significantly more affected by mastery-approach AGO (p<0.05), seeking information (p<0.001), and rehearsing/memorizing SRL (p<0.01), while the AC of nursing students was affected by performance-approach AGO, self-efficacy (p<0.001), and time-management SRL. Analysis of variance revealed that significant differences in the sub-factors of AGO and SRL between the medical and nursing students. Thus, it was found that the academic achievement of medical and nursing students was influenced by non-cognitive factors, but there were significant differences in the sub-factors by group. It is suggested that comparative studies with other student groups and a longitudinal study of medical and nursing students need to be conducted, and a personalized counseling and learning intervention focusing on non-cognitive factors should be provided to medical and nursing students.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.5
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• pp.808-817
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• 2010

This paper proposes a novel appoach which can assess the system technical maturity for use in Defense R&D Program reviews. As the weapon systems become more complicated, the success and effectiveness of R&D outcome heavily depend on the application and tailoring of systems engineering process and methods. It is a difficult task to assess the system readiness level(SRL) of the system being developed. A system-focused approach for managing weapon systems development and making effective and efficient decisions during the development lifecycle is critical to ensure the success of the program. The proposed weighted average SRL can facilitate the system technical maturity assessment without expending heavy work load.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04a
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• pp.579-581
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• 2000

다양한 실행경로가 존재하는 실시간 시스템을 이해하기 위해 정적 정보와 함께 동적 정보의 이해가 필요하다. 본 논문은 매개언어 SRL을 사용하여 정적 정보와 동적 정보를 모두 표현할 수 있는 방법을 제안했다. SRL을 통해 표현된 정적 정보와 동적 정보는 많은 시스템 이해 도구에 사용될 수 있다. 또한 동적 정보를 얻기 위한 방법으로 실제 시스템이 아닌 가상기계를 통한 가상실행을 수행함으로써 안전성이 중요한 시스템을 검증이전에 위험부담 없이 검사할 수 있다.

• Korean Journal of Cognitive Science
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• v.26 no.4
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• pp.377-392
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• 2015

Korean semantic role labeling (SRL) is usually performed by a machine learning and requires a lot of corpus. However, the Korean PropBank used in Korean SRL system is less than PropBank. It leads to a low performance. Therefore, we expand the annotated corpus and verb frames for Korean SRL system to expand the Korean PropBank corpus. Most of the SRL system have a domain-dependent performance so, the performance may decrease if domain was changed. In this paper, we use the domain adaptation technique to reduce decreasing performance with the existing corpus and the small size of new domain corpus. We apply the domain adaptation technique to Structural SVM and Deep Neural Network. The experimental result show the effectiveness of the domain adaptation technique.

• Journal of the Korean Society of Safety
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• v.29 no.6
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• pp.15-21
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• 2014

Many kinds of falling prevention systems with a safety block have been supplied in order to prevent falling accidents and acquire the long life and cost down for the maintenance. However, there are not the reliable and domestic the falling prevention system until now. Almost systems were imported from U.S.A, Japan, U.K and Germany. The structural safety of the imported safety block is satisfied sufficiently, but it has heavy weight due to the cover with the aluminum and thickness. Especially, the falling prevention system as the safety block is very expensive. It brings about flow the enormous money out of country. Furthermore it has a heavy weight when workers climbed the ladder with a falling prevention system and moved, many workers are not feeling themselves. Thus, the aim of this work is to develop a commercial self-escape SRL(Self Retracting Lifeline) with the safety block function that has a light weight and an advanced strength. The cost efficiency and convenience of the system and safety for workers also will be improved remarkably even though this system has a light weight. The results show that the maximum stress is obtained in each part by the lower more than yield strength and has sufficient safety in the developed new safety block.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.30-40
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• 2017

The purpose of this study is to analyze the long term mediating effects of Self-regulated Learning(SRL) in the Relationships among the Perceptions of Middle School Students on the Democratic Attitude of Parenting(DAP) and their Relationships with Teachers(RT), and their Self-esteem(SE). The data sources were from the first (2010) and the third (2012) Korean Children & Youth Panel Survey(KCYPS). As a result, first, the perceived DAP had significant effects on the students' SE both directly and indirectly through SRL. Second, the perception on RT had indirect effects on their SE mediated by SRL. Third, this pattern in first year continued in two-year-later-SE. This study implies that DAP, RT, and SRL play important roles in the continuous development of adolescents' self-esteem.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.3989-3995
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• 2016

Background: Childhood acute lymphoblastic leukemia (ALL) is a heterogeneous genetic disease and its etiology remains poorly understood. Recent genome wide association and replication studies have highlighted specific polymorphisms contributing to childhood ALL predispositions mostly in European populations. It is unclear if these observations generalize to other populations with a lower incidence of ALL. The current case-control study evaluated variants in ARID5B (rs7089424, rs10821936), IKZF1 (rs4132601) and CEBPE (rs2239633) genes, which appear most significantly associated with risk of developing childhood B-lineage ALL. Materials and Methods: Using TaqMan assays, genotyping was conducted for 162 de novo B-lineage ALL cases and 150 unrelated healthy controls in India. Appropriate statistical methods were applied. Results: Genotypic and allelic frequencies differed significantly between cases and controls at IKZF1-rs4132601 (p=0.039, p=0.015) and ARID5B-rs10821936 (p=0.028, p=0.026). Both rs10821936 (p=0.019; OR 0.67; 95% CI=0.47-0.94) and rs4132601 (p=0.018; OR 0.67; 95%CI 0.48-0.94) were associated with reduced disease risk. Moreover, gender-analysis revealed male-specific risk associations for rs10821936 (p=0.041 CT+CC) and rs4132601 (p=0.005 G allele). Further, ARID5B-rs7089424 and CEBPE-rs2239633 showed a trend towards decreased disease risk but without significance (p=0.073; p=0.73). Conclusions: Our findings provide the first evidence that SNPs ARID5B-rs10821936 and IKZF1-rs4132601 are associated with decreased B-lineage ALL susceptibility in Indian children. Understanding the effects of these variants in different ethnic groups is crucial as they may confer different risk of ALL within different populations.

• Journal of KIISE
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• v.43 no.7
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• pp.773-780
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• 2016

Semantic information and features are very important for Semantic Role Labeling(SRL) though many SRL systems based on machine learning mainly adopt lexical and syntactic features. Previous SRL research based on semantic information is very few because using semantic information is very restricted. We proposed the SRL system which adopts semantic information, such as named entity, word sense disambiguation, filtering adjunct role based on sense, synonym cluster, frame extension based on synonym dictionary and joint rule of syntactic-semantic information, and modified verb-specific numbered roles, etc. According to our experimentations, the proposed present method outperforms those of lexical-syntactic based research works by about 3.77 (Korean Propbank) to 8.05 (Exobrain Corpus) F1-scores.

• Journal of KIISE
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• v.44 no.1
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• pp.36-43
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• 2017

Syntactic information represents the dependency relation between predicates and arguments, and it is helpful for improving the performance of Semantic Role Labeling systems. However, syntax analysis can cause computational overhead and inherit incorrect syntactic information. To solve this problem, we exclude syntactic information and use only morpheme information to construct Semantic Role Labeling systems. In this study, we propose an end-to-end SRL system that only uses morpheme information with Stacked Bidirectional LSTM-CRFs model by extending the LSTM RNN that is suitable for sequence labeling problem. Our experimental results show that our proposed model has better performance, as compare to other models.

• Journal of Korean Society for Quality Management
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• v.41 no.3
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• pp.395-404
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• 2013

Purpose: Technology readiness assessment(TRA) used as a standard readiness assessment tool in the acquisition program of weapon system has some limitations in the comprehensive understanding of the complex system. Therefore, this research is intended to suggest a holistic maturity assessment method for the acquisition of high quality weapon system. Methods: Technology readiness level(TRL), manufacturing readiness level(MRL), integration readiness level(IRL) and system readiness level(SRL) developed to assess system maturities in the various aspects are compared and analyzed to draw an improvement avenue for the current readiness assessment method. Results: TRL, MRL, IRL and SRL have large differences in their maturity targets during the acquisition life cycle: technological performance, manufacturing capability, interface between components and total system, respectively. They complement one another's shortcomings Conclusion: To achieve a successful acquisition of high quality weapon system, multi-dimensional readiness assessment is required. Therefore, comprehensive readiness assessment using TRL, MRL, IRL and SRL will contribute to the acquisition of high quality weapon system through the accurate maturity information of overall system.