• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.10B
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• pp.1986-1994
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• 1999

In this paper, a semi-automatic approach is adopted to extract a semantic object from real-world video sequences human-aided segmentation for the first frame and automatic tracking for the remaining frames. The proposed algorithm has a hierarchical structure using watershed algorithm. Each hierarchy consists of 3 basic steps: First, seeds are extracted from the simplified current frame. Second, region growing bv a modified watershed algorithm is performed to get over-segmented regions. Finally, the segmented regions are classified into 3 categories, i.e., inside, outside or uncertain regions according to region probability values, which are acquired by the probability map calculated from an estimated motion-vector field. Then, for the remaining uncertain regions, the above 3 steps are repeated at lower hierarchies with less simplified frames until every region is classified into a certain region. The proposed algorithm provides prospective results in studio-quality sequences such as 'Claire', 'Miss America', 'Akiyo', and 'Mother and daughter'.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06c
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• pp.127-129
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• 2006

최근 대부분 기업들 환경에서의 정보 시스템들은 지역적으로 분산되어 있으며 다양한 형태로 구성되어 있으므로, 사용자 의사 결정을 지원하는데 필요한 통합된 정보를 얻는 것은 어려운 일이다. 따라서 이러한 문제를 효율적으로 정보 검색에 적용하기위해 사용자에게 단일 인터페이스를 제공하고, 이기종 시스템들 간에 구축된 데이터베이스 시스템들은 각각 독립성을 유지하면서 하나의 인터페이스처럼 투명성을 제공할 필요성이 있다. 이를 위해 ISO/IEC 11179에서 연구 중인 XMDR의 개념을 이용하여 정보검색에서 발생하는 "의미적 상호운용성(semantic interoperability)"이라는 문제점을 해결하고 이 XMDR에 지식 인스턴스 계층을 통한 지식공유를 가능하게 함으로써 단순 검색의 한계점을 극복할 수 있도록 한다. 본 논문에서는 데이터 표현에 사용되는 명칭, 속성, 관계성에 대한 이질적인 문제를 해결하기 위한 표준 온톨로지, 각 레거시 시스템을 연결하는 중간자(mediation)역할을 수행하는 로케이션 온톨로지, 지식공유가 가능하도록 하는 지식 인스턴스 계층으로 구성하는 방법을 제안한다. 또한 지식 인스턴스 계층은 협업적인 검색 환경하에서 각각의 정보시스템에서 다양한 형태의 지식을 공유 및 통합에 있어 구조화 되지 않은 지식들을 어떻게 공유할 것인가에 대한 개념적인 모델을 제시한다.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.63-75
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• 2011

A number of process algebras have been proposed to develop distributed mobile real-time systems: pi-Calculus, Mobile Ambients Calculus, Bigraph, etc. However, as the systems get large and complex, the algebras become less suitable for understanding the interactions and mobility of the processes of the systems due to the size and complexity. Therefore it is necessary to handle the size and complexity for systematic understanding of the systems. This paper handles the size and complexity with a method of abstraction on sequences of interactions and movements of processes in the systems, which can be further organized in the form of hierarchically structured lattices, namely, Prism. The theoretical principle of the abstraction is based on a new concept of Behavior Ontology, which is extended from Active ontology. Prism allows the systems to be analyzed in the perspective of the lattices in Prism, which are characterized by the hierarchically organized behavioral properties of the developing systems, for systematic understanding the systems. In this way, the complexity of the interactions and the movements can be handled systematically in the semantically and hierarchically organized structure of the behavior.

• The Journal of Society for e-Business Studies
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• v.14 no.2
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• pp.95-116
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• 2009

Ontologies have provided supports in integrating heterogeneous and distributed information. More and more ontologies and tools have been developed in various domains. However, building ontologies requires much time and effort. Therefore, ontologies need to be shared and reused among users. Specifically, finding the desired ontology from an ontology repository will benefit users. In the past, most of the studies on retrieving and ranking ontologies have mainly focused on lexical level supports. In those cases, it is impossible to find an ontology that includes concepts that users want to use at the semantic level. Most ontology libraries and ontology search engines have not provided semantic matching capability. Retrieving an ontology that users want to use requires a new ontology selection and ranking mechanism based on semantic similarity matching. We propose an ontology selection and ranking model consisting of selection criteria and metrics which are enhanced in semantic matching capabilities. The model we propose presents two novel features different from the previous research models. First, it enhances the ontology selection and ranking method practically and effectively by enabling semantic matching of taxonomy or relational linkage between concepts. Second, it identifies what measures should be used to rank ontologies in the given context and what weight should be assigned to each selection measure.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.171-178
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• 2006

Most approaches for extracting hypernyms of a noun from its definitions in an MRD rely on lexical patterns compiled by human experts. Not only these approaches require high cost for compiling lexical patterns but also it is very difficult for human experts to compile a set of lexical patterns with a broad-coverage because in natural languages there are various expressions which represent same concept. To alleviate these problems, this paper proposes a new method for extracting hypernyms of a noun from its definitions in an MRD. In proposed approach, we use only syntactic (part-of-speech) patterns instead of lexical patterns in identifying hypernyms to reduce the number of patterns with keeping their coverage broad. Our experiment has shown that the classification accuracy of the proposed method is 92.37% which is significantly much better than that of previous approaches.

• Korean Journal of Social Welfare Studies
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• no.37
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• pp.319-344
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• 2008

The Purpose of this study is to observe the existence of welfare attitude split between welfare regimes clique and to explore the effect of institutional(regime) characteristics on welfare attitude. And Second purpose is to find the characteristics of structure of welfare attitude and then to clarify the characteristics of welfare attitude in Korea. This work contribute to find the point of solidarity and split and to work out the strategical clues for constructing pro-welfare politics. To compare the attitude on the state responsibility about the welfare, Sweden, France, US, and Korea is selected. And the effect of sex, age, education level, income class, and labor status which are abstracted from existing welfare state comparative study are analyzed. The result show the difference in welfare attitude score between countries. The welfare attitude score is Sweden, France and US in order. the Score in Korea is lowest. In the case of the effect structure of welfare attitude between countries, there are no differences between Sweden and France. But the specific characteristics in US and Korea, are observed. And the effect structure of sex, class, labor status is equal in Sweden, France, and US. That is, women, people in low class, and people in low labor status more emphasize the state responsibility on the welfare. But the effect structure of age of US is different comparing other countries. In US, the old age is tend to less support the state responsibility. The education level operate as the effect factor in only US. And Korea show the different effect structure on the welfare attitude. This understanding about structure of welfare consciousness become the basis to construct the strategy for welfare state by proposing the point of consensus and conflict to conversion of welfare paradigm.

• Journal of KIISE:Software and Applications
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• v.28 no.9
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• pp.688-698
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• 2001

A homonym could be disambiguated by anther words in the context such as nouns, predicates used with the homonym. This paper proposes a homonym disambiguation system based on statistical semantic information which is extracted from definitions in dictionary. The semantic information consists of nouns and predicates that are used with the homonym in definitions. In order to extract accurate semantic information, definitions are used with the homonym in definitions. In order to extract accurate semantic information, definitions are classified into two types. One has hyponym-hypernym relation between title word and head word (homonym) in definition. The hyponym-hypernym relation is one level semantic hierarchy and can be extended to deeper levels in order to overcome the problem of data sparseness. The other is the case that the homonym is used in the middle of definition. The system considers nouns and predicates simultaneously to disambiguate the homonym. Nine homonyms are examined in order to determine the weight of nouns and predicates which affect accrutacy of homonym disambiguation. From experiments using training corpus(definitions in dictionary), the average accruracy of homonym disamguation is 96.11% when the weight is 0.9 and 0.1 for noun and verb respectively. And another experiment to meaure the generality of the homonym disambiguation system results in the 80.73% average accuracy to 1,796 untraining sentences from Korean Information Base I and ETRI corpus.

• The Journal of Society for e-Business Studies
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• v.25 no.3
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• pp.1-13
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• 2020

Machine learning refers to a model generation technique that can solve specific problems from the generalization process for given data. In order to generate a high performance model, high quality training data and learning algorithms for generalization process should be prepared. As one way of improving the performance of model to be learned, the Ensemble technique generates multiple models rather than a single model, which includes bagging, boosting, and stacking learning techniques. This paper proposes a new Ensemble technique with multiple stacking that outperforms the conventional stacking technique. The learning structure of multiple stacking ensemble technique is similar to the structure of deep learning, in which each layer is composed of a combination of stacking models, and the number of layers get increased so as to minimize the misclassification rate of each layer. Through experiments using four types of datasets, we have showed that the proposed method outperforms the exiting ones.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.4B
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• pp.471-478
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• 2001

웨이블릿 변환은 영상을 위치 정보와 주파수 정보를 가지고 표현함으로서 다른 변환 방식과는 큰 차이를 보여준다. 웨이블릿 변환된 2-D 영상은 인간의 시각 체계(Human Visual System)에 적정한 양자화 및 부호화를 위한 계층적 구조를 제공한다. 인간의 시각이 민감하게 감지하는 성분은 정확하게 부호화하고 다른 성분은 적절한 정보의 손실을 적용하는 원리를 이상적으로 적용할 수 있다. 이런 웨이블릿 변환의 통계적 특성을 이용한 제로트리(zerotree) 부호화 기법은 영상 전체에서 의미 있는 계수를 선별하여 약속된 우선 순서대로 부호화함으로써 매입파일(embedded file)을 생성한다. 본 논문에서는 Shspiro 가 제안한 EZW(embedded Zerotree wavelets) 알고리즘을 개선하여 화소 단위가 아닌 블록 단위로 부호화 함으로서 좀더 나은 성능을 가진 알고리즘을 제안하였다.

• Proceedings of the Korea Society of Costume Conference
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• 2003.05a
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• pp.49-49
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• 2003

단령은 둥근 깃이라는 뜻으로 군신(君臣)이 착용한 관복명의 의미를 가지고 있다. 단령은 검박(儉朴)하고 활동적인 옷의 형태로 AD 1세기 경 서아시아 일대의 기마 유목민족에게 발생되었고 중국에서는 호복(胡服)이라고 불렀으며 4 세기 초부터 17세기까지 군신(君臣)의 관복으로부터 일반인의 생활복에 이르기까지 여러 계층에서 착용되었다. 우리나라에서는 신라 28대 진덕여왕 2년(AD 648년)에 김춘추가 당(唐)나라 태종에게 단령을 하사 받음으로 착용하기 시작하였고 고려시대 조선시대에는 주로 관복(官服)으로 계속 착용하였고 현재에는 혼례 예복으로 착용하고 있다. 이와 같이 오랜 기간 동안 착용되어 온 단령은 봉재와 구성면에서 깃의 너비나 형태 앞 뒤 길이 차이 소매의 너비무의 변화 등 구성과 여러가지 면에서 변화를 거쳐 왔다. 단령의 구조는 깃이 둥근 형태에 옆 목점에서 매듭단추나 끈으로 여미며 길이가 길다. 따라서 15-16세기의 전단후장형 단령과 현재 혼례시 신랑 예복으로 착용되는 후기의 단령을 비교하여 구성의 차이점을 알아보도록 한다.