• Proceedings of The KACE
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• 2018.08a
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• pp.41-44
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• 2018

최근 가상현실의 시대가 다시 각광 받고 있는 시점에서 콘텐츠 확산을 위해 노력하는 것은 의미를 가진다. 본 연구에서는 중학교 과학에서 항상성과 몸의 조절 중 1차 면역 반응을 학습하는데 도움을 줄 수 있는 VR 학습 콘텐츠를 개발하였다. VR 게임으로 구현하여 학습자가 직접 몸속에 들어가 1차 면역 반응을 체험하도록 개발하였다. 학습자의 흥미를 높이기 위해 게임이라는 컨텐츠를 이용하여 학습자가 게임을 하며 학습할 수 있어 자기주도적 학습이 가능하다. 또한 최근 디지털 교과서에서 VR/AR 콘텐츠가 제공되기 시작하여 가상현실 기술의 교육적 활용 가능성을 높이고자 하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1211-1218
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• 2017

This paper deals with personality types and study type test methods and system by using finger prints. The purpose and goal of the study is to implement the system that provides the information about appropriate study methods for each individuals based on analysis of the natural characteristics (innate trait and aptitude) by using fingerprints.

• The Korean Journal of Emergency Medical Services
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• v.14 no.2
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• pp.25-40
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• 2010

Purpose : The purpose of this study was to develop and apply a Core Skill-TLP(Core Skill-Tutorial, Laboratory, Practicum) package in Patient Management and to effect of core skill-TLP education. Methods : This study was used to developed Patient Management' Core Skill-TLP package throughout 14 steps of Core Skill-TLP package development model. Then, Core Skill-TLP Learning methodology was implemented in first year student in the undergraduate emergency medical technology, and survey was done. Results : 1. Core Skill-TLP package model was presented based on conceptual model of PBL(S-PBL). 2, The student in OSCE did significantly better in clinical patient management core skills performance. 3. As to the satisfaction of Core Skill-TLP package management, student, tutor and self-satisfaction score was 3.21, 3.42, 3.38 respectively. Conclusion : This study was suggested that Core Skill-TLP education would be necessary with well-structured package and achieved advantage of simulation and PBL.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.322-325
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• 2002

We proposed a method to improve KCN's problems. Proposed method adjusts neighborhood and teaming rate by fuzzy logic system. The input of fuzzy logic system used a distance and a change rate of distance. The output was used by site of neighborhood and learning rate. The rule base of fuzzy logic system was taken by using KCN simulation results. We used Anderson's Iris data to illustrate this method, and simulation results showed effect of performance.

• Journal of Korean Institute of Industrial Engineers
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• v.22 no.3
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• pp.499-515
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• 1996

The basic function of on industrial robot system is to move objects in the workspace fast and accurately. One difficulty in performing this function is that the path of robot should be programmed to avoid the collision with obstacles, that is, tools, or facilities. This path planning requires much off-line programming time. In this study, a SOM technique to find the collision-free path of robot in real time is developed. That is, the collision-free map is obtained through SOM learning and a collision-free path is found using the map in real time during the robot operation. A learning procedure to obtain the map and an algorithm to find a short path using the map is developed and simulated. Finally, a path smoothing method to stabilize the motion of robot is suggested.

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.530-532
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• 1998

In this paper, We Designed the torque compensatory controller for robot manipulator using modified chaotic neural networks with self feedback loop. The proposed torque compensatory controller compensate torque of the PD controller. In order to estimate the proposed controller, we implemented to the Cartesian space control of three-axis PUMA robot and compared the simulation results with recurrent neural networks(RNNs) controller. Simulation results show that the learning error drastically decrease at on-line learning. The proposed CNNs controller shows much better control performance and shorter processing time compared to the recurrent neural network controller in the robot trajectory control.

• English Language & Literature Teaching
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• v.8 no.2
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• pp.197-218
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• 2003

The purpose of this study is to help the students in middle school improve their English listening comprehension by presenting effective teaching and learning techniques using animation. A good animation provides a self-contained world with language expressed in a virtual context. A few animation such as "Mulan", "The Emperor's New Clothes", and "Gulliver's Travel" are presented. The materials are primarily for English listening comprehension, enhance awareness of American culture and life-styles, and to encourage students' active role in learning English. It is suggested that their use with content-based instruction, where animation provides relevant schema background, makes language relevant and comprehensible. Practical aspects of classroom instruction are discussed, focusing on the adaption of pre-viewing, while-viewing, and post-viewing activities to the selected animation. It is concluded that careful animation selection, purposeful lesson planning, and the integration of pre-viewing, while-viewing, and post-viewing activities into the content-based lesson encourage natural language skills, especially the listening comprehension and students' interest in English.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.231-234
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• 2014

본 논문에서는 디지털 교과서를 활용한 자기주도 문제해결학습 모형을 제안한다. 이 모형은 디지털 교과서를 활용한 수업에 대한 선행 연구 분석을 통해 디지털 교과서를 이용했을 때의 장점을 극대화하는 방향으로 설계되었다. 디지털 교과서를 활용했을 때 학습의 주도권이 교사에서 학생으로 넘어올 수 있도록 학생들이 디지털 교과서를 통해 제공되는 자료를 ICT 도구를 활용해 스스로 분석 정리하고 이러한 일련의 활동을 통해 학생들이 공부하는 방법을 자연스럽게 깨우치도록 하는 데 이 모형의 궁극적인 목적이 있다. 위와 같은 디지털 교과서를 활용한 자기주도 문제해결학습 모형을 학교 수업에 적용했을 때 기대되는 효과로는 문제해결력 향상, 학습에 대한 능동성 강화, 학습동기 증진, 수준별 학습 가능 등이 있다.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.28B no.9
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• pp.739-746
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• 1991

This paper develops a modified multilayer perceptron architecture which speeds up learning as well as the net's mapping accuracy. In Phase I, a cluster partitioning algorithm like the Kohonen's self-organizing feature map or the leader clustering algorithm is used as the front end that determines the cluster to which the input data belongs. In Phase II, this cluster selects a subset of the hidden layer nodes that combines the input and outputs nodes into a subnet of the full scale backpropagation network. The proposed net has been applied to two mapping problems, one rather smooth and the other highly nonlinear. Namely, the inverse kinematic problem for a 3-link robot manipulator and the 5-bit parity mapping have been chosen as examples. The results demonstrate the proposed net's superior accuracy and convergence properties over the original backpropagation network or its existing improvement techniques.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.1
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• pp.59-64
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• 1997

By using a selective learnable self-organizing feature map(SOFM) a more practical and generalized mehtod is proposed in which the effective nonlinear shape restoration is possible regardless of the existence of the distortion modelss. Nonlinear mapping relation is extracted from the distorted imate by using the proposed selective learning SOFGM which has the special property of effectively creating spatially organized internal representations and nonlinear relations of various input signals. For the exact extraction of the mapping relations between the distorted image and the original one, we define a disparity index as a proximal nmeasure of the present state to the final idealy trained state of the SOFM, and we used this index to adjust the training of the mapping relations form the weights of the SOFM. Simulations are conducted on various kinds of distorted images with or without distortion models, and the results show that the proposed method is very efficeint very efficient and practical in nonlinear shape restorations.