• Journal of Institute of Control, Robotics and Systems
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• v.19 no.11
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• pp.991-997
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• 2013

In this paper, we propose a CFWC (CCD and fuzzy PID based width control) scheme to obtain the desired delivery width margin of a vertical rolling mill in hot strip process. A WMS(width measurement system) is composed of two line scan cameras, an edge detection algorithm, a glitch filter, and so on. A dynamic model of the mill is derived from a gauge meter equation in order to design the fuzzy PID controller. The controller is a self-learning structure to select the PID gains from the error and error rate of the width margin. The effectiveness of the proposed CFWC is verified from simulation results under a width disturbance of the entry in the mill. Using a field test, we show that the performance of the width control is improved by the proposed control scheme.

• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.1
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• pp.72-82
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• 2010

Purpose: The purpose of this study is to understand the meaning of dignified dying expressed by undergraduate nursing students. Method: Data were collected by in-depth interviews with fifteen nursing students. Conventional qualitative content analysis was used to analyze the data. Result: There were six major themes and eleven sub-categories from the analysis. Six major themes include death with no artificial life support, obedient death as a human nature, death with family members, meaningful death, no self destructive death, and sympathized death receiving from health care providers. Conclusion: The result of this study suggests that the nursing curriculum related to dignified dying can be developed and may affect the teaching and learning settings to improve end-of-life care performance among undergraduate nursing students, as well as, students in human service areas and health care providers.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.523-528
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• 2002

기존의 자기 주도적 학습 평가들은 대부분의 선다형 또는 단답형 문항에 대해서 학습평가가 시험 점수로 제공되고, 학습 평가의 정도를 객관적으로 평가 할 수 얼어 학습의 효율성에 대해서 부정적인 시각도 있다. 본 논문에서는 학습자 스스로가 학습 능력 평가를 객관적으로 평가하기 위해 퍼지 이론의 삼각형 타입 소속 함수를 이용한 자기 주도적 학습 평가 방법을 제안한다. 제안된 자기 주도적 학습 평가 방법은 학습에 대해 시험 결과를 세 개의 퍼지 등급으로 분류하여 소속도를 계산하고 퍼지 등급표를 적용하여 최종 퍼지 등급도에 따라 시험 결과를 평가하는 방법을 제시한다.

• Journal of the Korean Home Economics Association
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• v.42 no.12 s.202
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• pp.123-140
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• 2004

The purpose of this study was to explore the unfairness of adhesion contracts for internet contents service. The internet contents were classified into six types of avatar, learning, download, e-book and movie internet sites. The adhesion contracts of internet contents service were collected in 60 internet sites. The unfairness of the adhesion contract was reviewed under the adhesion contract regulation act. The major results were as follows. First, the obligation of clear statement, explanation, and delivery was not observed completely. Second, many articles of adhesion contract were unfair and they especially violated articles 7 and 9. Therefore, the standard adhesion contract system for internet content service should be enforced and self-regulation of information service providers is needed.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.171-175
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• 2000

Neural networks are in the framework of sensorbased tracking control of robot manipulators. They learn by practice movements the relationship between PSD (an analog Position Sensitive Detector) sensor readings for target positions and the joint commands to reach them. Using this configuration, the system can track or follow a moving or stationary object in real time. Furthermore, an efficient neural network architecture has been developed for real time learning. This network uses multiple sets of simple backpropagation networks one of which is selected according to which division (corresponding to a cluster of the self-organizing feature map) in data space the current input data belongs to. This lends itself to a very training and processing implementation required for real time control.

• Journal of Korea Multimedia Society
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• v.21 no.4
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• pp.471-477
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• 2018

As an important key technology using on electronic devices, face recognition has become one of the hottest technology recently. The traditional BP Neural network has a strong ability of self-learning, adaptive and powerful non-linear mapping but it also has disadvantages such as slow convergence speed, easy to be traversed in the training process and easy to fall into local minimum points. So we come up with an algorithm based on BP neural network but also combined with the PCA algorithm and other methods such as the elastic gradient descent method which can improve the original network to try to improve the whole recognition efficiency and has the advantages of both PCA algorithm and BP neural network.

• 한국정보교육학회:학술대회논문집
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• 2006.08a
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• pp.275-281
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• 2006

정보통신기술의 발달과 인터넷의 등장으로 원격교육은 새로운 교육패러다임을 주도할 역량있는 교육방식으로 대두되고 있다. 하지만 이런 시점에서 학교교육을 보다 효율적이며 실용적으로 지원할 수 있는 방안이 모색되어야 한다. 특히 초등교육에서의 원격교육은 이제 걸음마를 시작한 단계이며 평가분야에 대한 연구는 전무후무한 실정이다. 이에 본 연구에서는 학습자가 동영상 원격교육으로 학습과정을 진행한 후 만족할 만한 성취수준에서 자기평가를 실시하고 동영상 촬영하여 평가자료를 탑재하며, 이를 토대로 교사가 피드백할 수 있도록 시스템을 구축하였다. 이는 학습자가 학습과정 뿐만 아니라 평가영역에 있어서도 개인의 수준과 여건을 고려하여 자기 주도적으로 자기평가를 함으로써 자기주도적 학습능력을 향상시키며, 초등교육과정을 지원할 수 있을 것으로 판단된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.05a
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• pp.161-166
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• 2001

학생들에게 사고의 다양성과 창의성을 신장시킬 수 있는 가장 좋은 대안의 하나가 정보통신기술(ICT)을 활용한 수업을 들 수 있는데 아직까지 정보통신 기술을 활용한 수업이 실제적으로 학생들에게 어떠한 인지적, 정의적 영향을 미치는가에 대한 구체적인 연구결과는 없다. 따라서 상호작용이 풍부한 ICT 활용 수업이 정보화 사회가 요구는 자기 주도적 학습 능력을 얼마나 신장시키는지를 규명하기 위해 ICT활용 수업을 실시하기 위한 기초 자료를 제작한 후 홈페이지를 통한 정보 안내하기, 인터넷을 활용한 문제해결학습, 정보분석형 가상실습, 공동 협력 프로젝트 수업, 웹토론형 수업을 실시하여 ICT활용교육이 정보활용, 정보검색 능력, 학업성취도 향상 등에 어떠한 영향을 미치는지를 연구하였다.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.4 no.3
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• pp.57-62
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• 2005

Neural networks, which have learning and self-organizing abilities, can be advantageously used in the pattern recognition. Neural network techniques have been widely used in monitoring and diagnosis, and compare favourable with traditional statistical pattern recognition algorithms, heuristic rule-based approaches, and fuzzy logic approaches. In this study the fault diagnosis of the face-milling using the artificial neural network was investigated. After training, the sample which measure load current was monitored by constant output results.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.4
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• pp.54-65
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• 2000

The purpose of this paper is to examine the concept, general framework, planning process of bioregion, and bioregional impacts on landscape planning of future and to discuss the application possibility of landscape planning. Bioregionalism is defined in the course of following: knowing the land, learning the lore, developing the potential, liberating the self. Bioregional paradigm was composed of policy system insisted on diversity and decentralization based on region and community, sustainable economy structure focused on conservation and stability, and society structure through cooperation with common consciousness in the community. A general bioregional framework was organized to be able to achieve a sustainable future with interaction for humans being, other living things, and important earth life system. Bioregional mapping should be able to explain three important aspects about how localised and sustainable cultures would exist: to define the external boundaries, to describe forces of energy, and give a hint for th productive capability. In conclusion, according to the result of reviewing the total environmental planning, bioregional paradigm, examples of projects, technique of bioregional mapping, and actions of Nongovernmental Organizations(NGOs). this study is helpful to show an applicability of bioregional planning theory in Korea