• Journal of The Korean Association For Science Education
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• v.26 no.3
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• pp.342-355
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• 2006

The purpose of this study was to develop a classification scheme for laboratory instruction, which could occupy a central and distinctive role in science education. For this study, literature on laboratory instruction types were analyzed. Utilizing several of these theoretical frameworks, a Classification Scheme for Laboratory Instruction (CSLI), which clearly represents various features of laboratory instruction, was created. The developed CSLI consisted of two descriptors: one is the procedure for laboratory instruction, and the other is a way of approach. The procedure is either designed by the students or provided for them from an external source. A dichotomy also exists for the approach taken toward the activity: deductive or inductive. Validity was established for the CSLI. In addition, laboratory instruction according to CSLI was divided into four types: verification, discovery, exploratory, and investigation. Although this study demonstrated only limited features of laboratory instruction due to the absence of a field test, it serves as a model for more comprehensive studies.

• Journal of Information Management
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• v.41 no.3
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• pp.1-26
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• 2010

The purpose of this study is to compare and analyze the print form of UDC(Universal Decimal Classification) standard edition which was published by British Standards Institution in 2005 to Korean edition which was published by Korea Scientific & Technological Information Center in 1973, and to suggest the appropriate revision directions of future Korean edition. This study suggests that the future Korean edition should be revised based on the Master Reference File and should be a print edition which is composed of systematic tables and alphabetical index from the standard edition. In addition, the future Korean edition needs to strengthen international universality and to extend synthetic method using its auxiliary tables.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.131-138
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• 2009

This paper is about adult certification on Mobile RFID Service Environments coming through the combination of RFID(Radio Frequency IDentification) technology, as the core technology of ubiquitous environments, and mobile telecommunication technology. To overcome the shortcoming of simple adult certification on current internet, we suggest a framework for content-based classification and propose an adult certification system using it. At first, we explain conventional methods for adult certification, and show a criteria of content-based classification for preventing an exposure of adult contents from minors. Additionally, we describe data structure and system for the proposed adult certification on mobile RFID environment, and finish it with concluding remarks.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.930-932
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• 2015

This study is the basic research about the patent information analysis to predict the technology trend based on the IPC(International Patent Classification) code. We investigated the patents in the field of Business Method(G06Q) since 2011. Consequently the most frequently IPC code in G06Q are as follows. G06Q 50/10(1,652), G06Q 30/02(816), G06Q 50/30(735), G06Q 40/02(713), G06Q 50/22(530), and G06Q 30/06(489).

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.251-256
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• 2022

범주 불균형은 분류 모델이 다수 범주에 편향되게 학습되어 소수 범주에 대한 분류 성능을 떨어뜨리는 문제를 야기한다. 언더 샘플링 기법은 다수 범주 데이터의 수를 줄여 소수 범주와 균형을 이루게하는 대표적인 불균형 해결 방법으로, 텍스트 도메인에서의 기존 언더 샘플링 연구에서는 단어 임베딩과 랜덤 샘플링과 같은 비교적 간단한 기법만이 적용되었다. 본 논문에서는 트랜스포머 기반 문장 임베딩과 군집화 기반 샘플링 방법을 통해 텍스트 데이터의 정보 손실을 최소화하는 언더샘플링 방법을 제안한다. 제안 방법의 검증을 위해, 감성 분석 실험에서 제안 방법과 랜덤 샘플링으로 추출한 훈련 세트로 모델을 학습하고 성능을 비교 평가하였다. 제안 방법을 활용한 모델이 랜덤 샘플링을 활용한 모델에 비해 적게는 0.2%, 많게는 2.0% 높은 분류 정확도를 보였고, 이를 통해 제안하는 군집화 기반 언더 샘플링 기법의 효과를 확인하였다.

• Annual Conference of KIPS
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• 2008.11a
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• pp.96-99
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• 2008

본 논문은 의료 영상을 효과적으로 분류하고 검색 하기 위한 새로운 알고리즘을 제안한다. 의료 영상 중 X-Ray 영상은 어두운 배경에 반해 밝은 전경을 갖고 있기 때문에, 전경의 두드러진 부분에서만 시각 기술자로 추출한다. 우선, 색 구조 기술자(H-CSD)에서 해리스 코너 검출기로 검출한 관심 포인트들에서 색상 특징을 추출하고, 경계선 히스토그램 기술자에서 영상의 전역 및 지역적 질감 특징을 추출한다. 추출된 특징 벡터는 멀티클래스 SVM 에 적용되어 각 영상을 위한 멤버십 스코어를 얻는다. 이후, H-CSD와 EHD 에 대한 SVM 의 멤버십 스코어를 앙상블 결합하여 하나의 특징 벡터로 생성하고, K-nearest Neighborhood 방법을 이용하여 상위-K 개의 영상을 검색을 하도록 하였다. imageCLEFmed2007 을 이용한 실험 결과에서 다른 전역적 속성 또는 분류 기반 검색 방법에 비교하여 보다 개선된 검색 성능을 나타냄을 확인하였다.

• Journal of KIISE:Databases
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• v.34 no.1
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• pp.35-45
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• 2007

This paper proposes a classification model for systematical management of resources in educational repositories. A classification scheme should be provided to systematically store and manage, precisely retrieve, and maximize the usability of the resources. However, there is little research result on the classification scheme and classification model for educational repository resources. It causes several issues such as inefficient management of educational resources, incorrect retrieval, and low usability. However, there are different characteristics between the educational resource information and information of the previous fields. Therefore, a novel research on the classification scheme and classification model for the resources in educational repositories is required. To achieve the goal for efficient and easy use of the educational resources, we should manage consistently the resources according to the classification scheme accepting several views. This paper proposes a classification model to systematically manage and increase the usability of the educational resources. In other words, the proposed classification model can manages dynamically the classification scheme for the resources in educational repositories according to various views. To achieve the objectives, we first define a proper classification scheme for the implementation resources based on the classification scheme in relevant scientific technology fields. Especially, we define a novel classification model to dynamically manage the defined classification scheme. The proposed classification scheme and classification model enable more precise and systematic management of implementation resources and also increase the ease of usability.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2002.05a
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• pp.633-634
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• 2002

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.05a
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• pp.275-289
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• 2006

• Review of Korea Contents Association
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• v.7 no.4
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• pp.36-71
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• 2009