• Journal of the Korea Computer Industry Society
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• v.5 no.5
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• pp.729-736
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• 2004

Over the last few years knowledge management has become more and more impotant part of the in healthcare practices. Therefore the healthcare organisatiions have also begun to apply knowlege management strategies. To address this issue of the lack of true knowledge management in healthcare enterprises, we propose a framework for common Healthcare Knowledge Management. This framework is made up of two suites of applications and services, i.e. the intelligent agent-based knowledge management application suite and the strategic visualisation, planning and coalition formation service suite.

• Journal of the Korean Applied Science and Technology
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• v.39 no.6
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• pp.738-747
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• 2022

The purpose of this study is to construct a knowledge structure for the application of physical education in ecological marine sports. As specific exercises, a volleyball game (beach volleyball) and open water swimming were set, and a knowledge structure analysis framework was used for the study. Expert consultation was conducted to secure the validity of the study. The study results are as follows. First, a knowledge structure based on the 2022 revised physical education curriculum was prepared. Second, the basis for the application of physical education classes for ecological marine sports was prepared. Third, learning contents in the knowledge·understanding domain, process·functional domain, and value·attitude domain of beach volleyball were proposed. Fourth, learning contents of knowledge·understanding domain, process·function domain, and value·attitude domain of sea swimming were proposed. This study is meaningful in that it prepared in advance for the realization of the 2022 revised physical education curriculum to be introduced in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.483-486
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• 2021

기존의 심층 강화학습은 상태, 행동, 정책 등을 모두 벡터 형태로 표현하는 강화학습으로서, 학습된 정책의 일반성과 해석 가능성에 제한이 있고 영역 지식을 학습에 효과적으로 활용하기도 어렵다는 한계성이 있다. 이러한 문제점들을 해결하기 위해 제안된 새로운 관계형 강화학습 프레임워크인 dNL-RRL은 상태, 행동, 그리고 학습된 정책을 모두 논리 서술자와 규칙들로 표현할 수 있다. 본 논문에서는 dNL-RRL을 기초로 공장 내 운송용 모바일 로봇의 제어를 위한 행동 정책 학습을 수행하였으며, 학습의 효율성 향상을 위해 인간 전문가의 사전 영역 지식을 활용하는 방안들을 제안한다. 다양한 실험들을 통해, 본 논문에서 제안하는 영역 지식을 활용한 관계형 강화학습 방법의 학습 성능 개선 효과를 입증한다.

• Child Health Nursing Research
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• v.20 no.4
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• pp.264-274
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• 2014

Purpose: The purpose of this study was to analyze papers on child rearing in Korea and to suggest future research and nursing practice directions for child rearing. Methods: An on-line search via 5 web sites yielded 201 research papers. The analysis of key concepts was based on the attributes of parenting and type of knowledge held by the parents. Results: The research papers found in the search were 27.3% experimental and 72.7% non-experimental. Among the participants, 77.0% of parents raising the child were mothers and the children were mostly young children under the age of one year. Types of knowledge related to child rearing varied widely, but explanatory knowledge (55.2%) was the most common, followed by prescriptive knowledge (30.0%) and descriptive knowledge (14.8%). For attributes of parenting, reaction to parenting (49.9%) followed by parenting behavior/practice (43.1%) was most common. Conclusion: Findings of this study indicate that further research is necessary regarding fathers and surrogate caregivers and on prescriptive knowledge for health promotion of children at different developmental stages. Also the results suggest a need for research toward developing child care policies.

• Journal of Gifted/Talented Education
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• v.18 no.3
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• pp.591-612
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• 2008

In order to investigate the composition and characteristics of instructional objectives in a teaching-learning material for gifted elementary students in science, 217 instructional objectives across 13 themes in 4 areas of 'energy','materials', 'life' and 'earth' were analyzed by Bloom's revised taxonomy of educational objectives. Four types of factual, conceptual, procedural and meta-cognitive knowledge in knowledge dimension were all comprised in the objectives. Conceptual knowledge was primary constituent of the objectives and the proportion of factual knowledge was the least. On the other hand, all 6 categories of 'remember', 'understand', 'apply', 'analyze', 'evaluate' and 'create' in cognitive process dimension were also comprised in the objectives. The category of 'understand' was primary constituent and that of 'remember' was the least one. While conceptual knowledge in knowledge dimension was primary constituent of the objectives in 'energy', 'materials' and 'earth' areas, procedural knowledge was the most objectives in 'life' area. The least type of knowledge was factual knowledge in all 4 areas. In cognitive process dimension, the category of 'understand' was primary constituent and that of 'remember' was the least one in all 4 areas. In conclusion, it was showed that the instructional objectives in the teaching-learning material reflected the characteristics of educational objectives for gifted students in science.

• The Journal of Korean Association of Computer Education
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• v.20 no.3
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• pp.25-33
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• 2017

Countries that considered importance of the quality management of higher education are strengthening through various systems and methods. Field of computer science also, they have constantly made efforts, such as constituting standards of curriculum for the management of the quality of higher education. If we know the priorities of the knowledge area mentioned in the standard of curriculum of computer science, we can give implications to the composition of the content system. Therefore, we derive the ranking based on base on CS2013 the lesson time number of Tier 1, Tier 2, Elective, and detail areas for content elements. As a result, the knowledge area with the highest priority was Software Development Fundamentals. The knowledge area is recommended as a beginner course in CS2013 because it is a basic element. The priorities of these areas may provide implications for future elementary and secondary informatics curriculum, higher liberal arts informatics curriculum, Informatics curriculum of teacher training agency.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.6
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• pp.18-25
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• 2001

KBANN (knowledge-based artificial neural network) combining the analytical learning and the inductive learning has been shown to be more effective than other machine learning models. However KBANN doesn't have the theory refinement ability because the topology of network can't be altered dynamically. Although TopGen was proposed to extend the ability of KABNN in this respect, it also had some defects. The algorithms which could solve this TopGen's defects, enabling the refinement of theory, by extending KBANN, are designed.

• Proceedings of the Korea Society of Mathematical Education Conference
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• 2008.05a
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• pp.17-28
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• 2008

이 논문은 중학교 기하 영역의 수업에 대한 학생들의 성취도가 낮은 것을 관찰하고, 그에 대한 고민으로 교육과정을 분석하고, 수학교육의 질적 접근을 위한 교수 실험을 통해 실제 중학교 과정에서 운용되는 논증기하 교육의 문제점과 그 대안을 탐색하고자 하였다. 본 연구에서는 교사가 반드시 갖춰야 할 지식으로 Shulman(1986)이 제시한 교과 내용 지식과 교수학적 내용 지식, 그리고 교육과정 관련 지식을 받아들였으며, 중학교 기하 영역에서 이런 지식을 갖추기 위해 교사가 폭넓은 고민을 하여 수업의 개선점을 찾는 과정을 보여주고 있다. 연구를 통해서 학생들에게 명제를 지도할 때 주의할 점과 학습자에게 증명을 하도록 제시하는 방법상의 문제점, 그리고 이등변삼각형의 지도에서의 그 증명이 갖는 의미를 잘 이해하여 학생들에 증명 학습에 진정한 도움이 될 수 있는 방향을 탐색하였다. 그리고 절차만을 학습시키는 현행 작도 수업을 개선하기 위한 여러 시도와 등변사다리꼴의 학습에서와 같이 학생들이 수학 용어를 되돌아보는 수업이 필요성을 탐색하여, 많은 교수 실험을 통한 교육과정의 바람직한 개정을 제안하였다.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.91-103
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• 2021

As knowledge management is recognized as an important competency of organizations, organizations are continuously investing in knowledge management policies and technologies. Knowledge management preemptively requires employees to share knowledge, but sharing activities for continuous knowledge management have not been performed. The purpose of this study is to verify the effect of the organization's mutual exchange efforts through collaborative communication on the knowledge sharing intention of its employees. The study surveyed workers of organizations that operate knowledge management policies and verified the research hypothesis by applying 326 samples to structural equation modeling. As a result of the analysis, factors of collaborative communication(rationality, reciprocal feedback, formality) had a positive effect on the intention to share knowledge, and task interdependence and territoriality had a moderating effect on the relationship between collaborative communication and intention to share knowledge. The study has implications in terms of suggesting an activity strategy that an organization should pursue to improve knowledge sharing among its employees.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.75-81
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• 2010

The segmentation of cartilage is crucial for the diagnose and treatment of osteoarthritis (OA), and has mostly been done manually by an expert, requiring a considerable amount of time and effort due to the thin shape and vague boundaries of the cartilage in MR (magnetic resonance) images. In this paper, we propose a fully automatic method to segment cartilage in a knee joint on MR images. The proposed method is based on a small number of manually segmented images as the training set and comprised of an initial per patch segmentation process and a global refinement process on the cumulative per patch results. Each patch for per patch segmentation is positioned by classifying the bone-cartilage interface on the pre-segmented bone surface. Next, the shape and intensity priors are constructed for each patch based on information extracted from reference patches in the training set. The ratio of influence between the shape and intensity priors is adaptively determined per patch. Each patch is segmented by graph cuts, where energy is defined based on constructed priors. Finally, global refinement is conducted on the global cartilage using the results of per patch segmentation as the shape prior. Experimental evaluation shows that the proposed framework provide accurate and clinically useful segmentation results.