• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.525-528
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• 2007

기존의 웹서비스가 정적이고 수동적인데 반해 최근의 웹 서비스는 점차 동적이고 능동적으로 변화하고 있다. 이러한 웹서비스 변화의 흐름을 잘 반영하는 것이 웹 2.0이다. 웹 2.0에서 대부분의 정보는 사용자에 의해 생산되고, 사용자가 붙인 태그(tag)에 의해 분류되어진다. 그러나 현재 태그에 관한 서비스 및 연구들은 태깅(tagging) 방법에 대한 연구를 비롯해 이를 표현하기 위한 tag cloud에 초점이 맞춰져 진행됨에 따라, 다양한 태그 정보자원 간의 체계와 연결 관계인 지식체계를 제공하지 못하고 있다. 이에 본 논문에서는 체계화된 지식표현을 위해 웹상에 편재되어 있는 학습 관련 리소스(resources) 및 태그들를 수집한다. 이를 사용자가 요청한 검색 키워드와 연관성이 있는 태그 정보들을 맵핑 및 클러스터링하여 최적화된 표현 형식인 토픽 맵(topic map)화하기 위한 시스템을 제안하며, 이 중 토픽 맵 생성을 위한 초기 연구 단계로서, 연관 태그들 간의 맵핑 및 클러스터링을 위한 알고리즘 제시를 중심으로 소개한다.

• Proceedings of the Korea Association of Information Systems Conference
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• 2001.12a
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• pp.181-193
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• 2001

최근 대학도서관들은 정보화 환경에 대한 능동적 대처를 위하여 많은 노력을 기울이고 있다. 교수나 학생의 연구, 교육, 학습에 필요한 각종 전자 정보원을 한 장소에서 검색, 열람이 가능하고 대학의 구성원들에게 새로운 정보기술과 정보의 활용 능력을 교육시키기 위한 다양한 기능을 가진 하나의 복합 공간으로서 전자 정보실 또는 멀티미디어실(이하 멀 티미디어실) 등을 설치, 운영하고 있다 그러나 아직도 대학도서관 내의 멀티미디어실의 역할과 개념이 모호하다는 지적이 나오고 있다. 이러한 가운데 운영면에서도 표준 솔루션의 부재로 관리 전산화가 이루어져 있는 곳이 부족하여 인력 및 시간의 낭비가 초래되고 이용자 관리에 있어서 어려움을 겪고 있는 실정이다. 체계적인 운영이 이루어지지 않고서는 양질의 서비스 제공은 기대하기 어려울 것이다. 따라서 전국 대학 도서관에 적용할 수 있는 표준적인 멀티미디어실 관리 시스템의 개발이 필요하다. 본 연구에서는 UML(Unified Modeling Language) 기반의 정보시스템 구축 방법론을 제시하고, 제시된 방법론의 유효성(effectiveness)을 검증하기 위하여, 본 방법론에 입각하여 동국대학교 경주캠퍼스의 멀티미디어실 업무 프로세스를 분석 설계하였다. 시스템 구현을 위해서, 데이터 베이스로는 Oracle RDBMS를, 개발도구로는 Visual Basic 6.0을 사용하였다 본 논문에서 구현된 시스템을 통하여 멀티미디어실의 효과적인 운영관리에 대한 기반정립에 기여하고, 향후 장기적인 발전계획 수립에 하나의 도구로서 사용될 수 있다고 판단된다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.171-177
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• 2018

Recently there are many image datasets which has variety of data class and point to extract general features. But in order to this variety data class and point, deep learning model trained this dataset has not good performance in heterogeneous data feature local area. In this paper, we propose the structure which use sub-category and openset object detection methods to train more robust model, named multi-branch tree using ASSL. By using this structure, we can have more robust object detection deep learning model in heterogeneous data feature environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.895-897
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• 2013

The Capstone design, has become one of the most important topics in engineering education. The Capstone Design a course with a different format from the traditional form of education and, by integrating the training learned in the course of expertise. Through it, you will learn how to analyze and design solutions to possible problems arising from industry. It can improve the practical skills required in the industry. The students can participate in the educational process according to the pre-prepared curriculum, rather than passively receiving the education in the form of an active. In this paper, we check the operating status for the Capstone Design Education. The future, through the satisfaction evaluation model Capstone Design Capstone Design effective management plan is presented.

• Journal of Engineering Education Research
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• v.9 no.1
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• pp.61-74
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• 2006

We developed the introductory course for the systematic education of the engineering design. The main purpose of this course is to have students equipped with the basic skills to study advanced design courses and to stimulate student's inquisitiveness. The course consisted of student-centered activities to cultivate the creative thinking, teamwork skills, communication skills. In this article we discussed about the unique features of instructional design, operating methods and effectiveness of the course.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.5B
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• pp.489-499
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• 2003

This paper is a study about Honey-pot Model using CPN(Colored Petri Nets) that is a method of intrusion detection. Suggested Honey-pot model consists of two parts : \circled1 security kernel module for active induction of hacker's intrusion, intrusion detection and behavior pattern analysis. \circled2 virtual module for activity of induced hackers. However, suggested model was compared and analysed with conventional Denning model and Shieh nodel. The Honey-pot model using CPN can classify the characteristic of intrusion pattern, modeling intrusion pattern and pattern matching procedure, detect DDoS attack through multi hosts, and provide basis of study model for analysing intrusion pattern, finally.

• KOMUNHWA
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• no.64
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• pp.29-46
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• 2004

The major role of university museum is the enhancement of cultural level for both students and citizen by means of exhibiting stored heritage materials. University museums play important role in providing research and education service about traditional c

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.1-13
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• 2019

This purpose of this study is to develop and apply the physical computing lessons based on the software guidelines from the Ministry of Education (2015). In this study, I research how computational thinking occurs in class by applying the physical computing lessons to elementary students based on computational practices. The physical computing lessons and analytic methods for computational thinking in this study can be used as a sample and case-study to develop the lessons in the educational field.

• Journal of Christian Education in Korea
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• v.65
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• pp.9-27
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• 2021

Religious language learning is crucial for children's spiritual development and how each child is encouraged to speak about the Sacred will drive the capacities for healthily connecting with one another, God, and the nonhuman world. Religious educators have an ethical imperative to teach religion with a commitment to celebrating lived experiences, while resisting dogmatic instruction that stunts linguistic, cognitive, and spiritual development. Cultural influences must encourage approaches that nurture children's wonder and inquiry, by teaching religious language as a tool for meaning-making and expression.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.63-68
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• 2020

This paper proposes a face authentication system based on deep learning framework. The proposed system is consisted of face region detection and feature extraction using deep learning algorithm, and performed the face authentication using joint-bayesian matrix learning algorithm. The performance of proposed paper is evaluated by various face database , and the face image of one person consists of 2 images. The face authentication algorithm was performed by measuring similarity by applying 2048 dimension characteristic and combined Bayesian algorithm through Deep Neural network and calculating the same error rate that failed face certification. The result of proposed paper shows that the proposed system using deep learning and joint bayesian algorithms showed the equal error rate of 1.2%, and have a good performance compared to previous approach.