• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.659-671
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• 2003

This paper proposes a method of disambiguating the senses of words using decision lists, which consists of rules with confidence values. The rule of decision list is composed of a boolean function(=precondition) and a class(=sense). Decision lists classify the instance using the rule with the highest confidence value that is matched with it. Previous work disambiguated the senses using single feature decision lists, whose boolean function was composed of only one feature. However, this approach can be affected more severely by data sparseness problem and preprocessing errors. Hence, we propose multiple feature decision lists that have the boolean function consisting of more than one feature in order to identify the senses of words. Experiments are performed with 1 sense tagged corpus in Korean and 5 sense tagged corpus in English. The experimental results show that multiple feature decision lists are more effective than single feature decision lists in disambiguating senses.

• Journal of The Korean Association For Science Education
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• v.34 no.2
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• pp.55-62
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• 2014

This study is to reclassify the classifications or definitions of scientific literacy in scientific literacy researches since 1960s and grasp the classification trends of scientific literacy definitions. Sixteen articles have been selected among the articles that have been introduced in the two articles. Classification criteria are as follows: 1) "be learned," "competence," or "be able to function in society" as meanings of "literate," 2) "terms" or "description" as the ways of representing scientific literacy, 3) "singular structure," "hierarchical structure," or "parallel structure" as the inner structure of scientific literacy definitions. The results of this study are as follows: First, hierarchical structures in scientific literacy have almost always accompanied "terms" representing scientific literacy and also accepted the hierarchy between "be learned" and "competence," but not the definition of scientific literacy as functioning in society. All parallel structures in scientific literacy have accompanied the definition as functioning in society. And singular structure almost always appears in researches based on the views of scientific literacy in relatively recent times. Second, researches who have used "terms" as ways of representing scientific literacy have increased. Based on the results in this study, the meanings of scientific literacy have been emphasized in view of the ability of playing a role in a social context as well as learning and competence these days. To meet this movement in scientific literacy actively, science education community should get out of traditional teaching and learning scientific concepts and give emphasis on application in various context and social role of science learners.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.189-190
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• 2011

이 연구는 브랜드 네임 스펙트럼 이론을 이용하여 병원 명칭의 특성을 분석하였다. 연구대상은 수도권 지역에 위치하는 모든 병원을 대상으로 하였고, 명칭은 의미있는 단위로 분류한 후 스펙트럼 이론에 따라 분류하였다. 분석결과 임의적 명칭의 빈도가 가장 높았고, 다음으로는 암시적, 서술적, 그리고 조어적 명칭의 순이었다. 단일 스펙트럼 구성된 명칭이 가장 많았으며, 스펙트럼이 2개와 3개로 구분된 명칭의 순이었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.785-787
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• 2014

본 논문에서는 화산 분출 초저음파의 식별을 위해서 FSPNNC(Frequency Sub-bands Parallel Neural NetworkClassification)을 선택한다. FSPNNC 는 각기 다른 주파수 영역에서 독립적으로 추출한 특징벡터를 병렬 구조의 신경망에 학습하는 구조를 가지며 하나의 신경망은 하나의 분류 및 하나의 주파수 부대역만을 학습하고 다른 신경망들은 해당 특징벡터를 분류하지 않도록 학습된다. 실험은 단일 신경망 및 PNNCB(Parallel Neural Network Classifier Bank)와의 비교실험을 통하여 식별 성능을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.128-130
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• 2017

본 논문에서는 IoST(Internet of Small Things)로 분류되는 소형화된 사물에 적합하도록 기존 2핀을 사용하여 통신하는 I2C 직렬 통신과 달리 단일 핀을 사용하여 온도 습도 통신이 가능한 통신 기술을 연구하였다. 기존의 센서 정보를 주고받는 I2C 직렬 통신 방식은 클럭과 데이터 핀을 사용하여 비교적 빠른 속도로 데이터 전송을 하지만 단일 핀 사용 방식보다 전력소모에 큰 영향을 주기 때문에 IoST 통신에서 보다 적합하도록 하드웨어 설계를 단순화하여 면적을 줄이고 전력 소모를 줄이도록 하는 방안을 연구하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.213-214
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• 2018

빅 데이터 활용의 증가로 인해 효율적으로 데이터를 분류하는 것은 머신러닝의 주요 과제이다. 제한적인 자원을 가지고 이에 맞는 처리능력을 갖기 위해서는 단일 기기의 자원 관리능력을 향상시키는 방향의 연구가 필요하다. 본 논문에서는 머신러닝을 위한 학습 데이터를 최대 엔트로피 이론을 적용시켜 효과적으로 분류하는 방법을 제안한다. 최대 엔트로피에 대한 간단한 설명과 최대 엔트로피 이론을 적용시키기 위한 간단한 사전 작업들의 방향 등에 대한 설명을 토대로 기술하였다. 또한 본 연구를 통해 얻게 된 문제점들과 향후 연구에 필요한 피드백을 갖는다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.709-711
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• 2023

안전관리를 위한 인공지능 기술은 꾸준히 연구되고 있는 분야다. 특히, 컴퓨터 비전 기술을 활용한 CCTV 영상 분석은 군중의 동선과 밀도를 파악하는데 유용하며, 대규모 실내 공간에서 체계적인 안전관리를 가능하게 한다. 그러나 기존의 CCTV 카메라를 사용한 군중 수 추정은 가려짐(occlusion)과 같은 한계가 있다. 본 논문은 무선 랜 신호 데이터 분석 기법을 활용하여 수집한 데이터를 활용하여 실내 환경에서 군중 수를 추정하고자 한다. 본 논문에서는 인원 수 분류 예측을 위해 셰이플릿 확장 변환(Random Dilated Shapelet Transform) 기법을 제안한다. 단일 데이터 세트 내 분류 결과와, TX, RX 배치 방식에 따른 분류 성능의 차이는 모델의 성능 부족보다 데이터의 특성을 고려한 새로운 접근 방법의 필요성을 알려준다.

• The KIPS Transactions:PartB
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• v.11B no.5
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• pp.545-554
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• 2004

Combining multiple classifiers to obtain improved performance over the individual classifier has been a widely used technique. The task of constructing a multiple classifier system(MCS) contains two different Issues how to generate a diverse set of base-level classifiers and how to combine their predictions. In this paper, we review the characteristics of existing multiple classifier systems : Bagging, Boosting, and Slaking. For document classification, we propose new MCSs such as Stacked Bagging, Stacked Boosting, Bagged Stacking, Boosted Stacking. These MCSs are a sort of hybrid MCSs that combine advantages of existing MCSs such as Bugging, Boosting, and Stacking. We conducted some experiments of document classification to evaluate the performances of the proposed schemes on MEDLINE, Usenet news, and Web document collections. The result of experiments demonstrate the superiority of our hybrid MCSs over the existing ones.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.49-57
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• 2013

A novel approach for the feature selection is proposed, which is the important preprocessing task of on-line document classification. In previous researches, the features based on information from their single population for feature selection task have been selected. In this paper, a mixed feature set is constructed by selecting features from multi-population as well as single population based on various information. The mixed feature set consists of two feature sets: the original feature set that is made up of words on documents and the transformed feature set that is made up of features generated by LSA. The hybrid feature selection method using both filter and wrapper method is used to obtain optimal features set from the mixed feature set. We performed classification experiments using the obtained optimal feature sets. As a result of the experiments, our expectation that our approach makes better performance of classification is verified, which is over 90% accuracy. In particular, it is confirmed that our approach has over 90% recall and precision that have a low deviation between categories.

• Korean Journal of Heritage: History & Science
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• v.56 no.2
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• pp.282-294
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• 2023

Efforts are being made internationally to pay attention to the landscape value of modern and contemporary heritage and to pass it on. However, in Korea, the registration of modern and contemporary landscape heritage as registered cultural properties is insignificant. There has also been little discussion on ways to improve the system in this regard. This study sought ways to improve the registration criteria and classification system of the registered cultural property system so that modern and contemporary landscaping heritage could be protected. Currently, the registration criteria for registered cultural properties are not stipulated for each type of heritage, but are stipulated as a single comprehensive standard. Registration criteria should be separately prepared so that the landscape value of the heritage can be reviewed. First, the registration criteria have an important value in understanding the development of landscape culture. Second, well-preserved landscaping reflects or characterizes the times. Lastly, it should be defined as related to the works of major artists or important figures or historical events. The classification system must match the studied building cultural property classification system, and the detailed types of modern and contemporary landscape heritage should be specified. The major classification follows the building cultural property classification system, but parks and green spaces, squares, and gardens, which can be called a single landscape heritage, should be added to the middle classification. Landscaping heritage, such as gardens combined with building heritage, shall be specified in the subcategory based on building use.