• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.11a
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• pp.96-97
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• 2012

본 논문에서는 중요도 지도를 만드는 상향식 방법 중 대표적 기법인 Itti 의 제안 방식[1]이 지닌 문제점을 보완한다. Itti 방식의 경우 여러 특징 지도를 단순한 선형 결합을 통해 중요도 지도를 만들어 내므로 중요 영역이 명확하지 않은 단점을 가지고 있기 때문에, 모든 특징 지도를 사용하지 않고 상대적으로 비효율적인 특징 지도를 배제하는 방법과 중요 영역을 더 강조하기 위해 색의 유사도를 이용하는 방법을 제안하고 그 결과를 비교한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.13-15
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• 2003

본 논문에서는 XML 문서의 자동변환을 위해 2단계의 상향식 매칭 방법을 제안한다. 제안된 방법은 단말 노드 사이의 유사도 비교를 통해 임계값을 넘는 후보 매칭집합을 결정하고, 단말노드가 포함되어 있는 경로의 유사도 비교를 통해 적절한 일대일 매칭을 추출한다. 특히, 노드 사이의 유사도 비교를 위해 축약어 사전, 일반 동의어 사전, 도메인 온톨로지를 적용한다. 실제 전자상거래용 XML 스키마를 대상으로 실험한 결과 제안된 방법은 평균적으로 97%의 정확률을 보였다.

• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.37-49
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• 2008

Services are reusable units in business level. Ubiquitous computing provides computing services anytime and anywhere. The combination of both is becoming an important paradigm of computing environment. Fundamentals of services require flexibility and interoperability, and key elements of ubiquitous modeling require interoperability and context-awareness. There are two kinds of methods to identify services. The top-down approach is based on business process, and the bottom-up approach is based on components. The first approach depends on experts' intuitions, while the second approach suffers the incapability of expressing non-functional expression through components. Although a feature-based approach is capable of expressing non-functional expression and identifying services in ubiquitous environment, the research on this issue is not adequately addressed by far. To promote this research, this paper proposes a feature-based method to identify services in ubiquitous computing. The method extracts initial-candidate-services from a feature model. Then, the ultimate services are identified through optimizing and analyzing the candidate-services. The proposed method is expected to enhance the service reusability by effectively analyzing ubiquitous domain based on feature, and varying reusable service units.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.4
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• pp.600-617
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• 2008

Current rural development polices in Korea consist of three programs, namely: integrated rural community development, rural tourism development, and community based industry development. Within these areas, national and local policies have often concentrated on trying to encourage ‘bottom-up’ development revolving around the commodification of cultural or amenity resources. In important ways, the three categories of rural development programs are more of a community development program than an economic development program. In Korea, it is true to say that governmental decisionmaking is slowly being influenced in terms of community, self-reliance and self-help, which are gradually creeping into the discussion on rural development. I suggest that the planning process itself had to include broad public participation and partnership and bottom-up approaches, not merely the product of a planning office or consulting firm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.3
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• pp.571-578
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• 2012

In this paper, we propose two main points. The first is the constraint for logic synthesis, and the second is an efficient logic synthesis method. Logic synthesis is a process to obtain the gate-level netlist from RTL (register transfer level) codes using logic mapping and optimization with the specified constraints. The result of logic synthesis is tightly dependent on constraint and logic synthesis method. Since the size and timing can be dramatically changed by these, we should precisely consider them. In this paper, we present the considering items in the process of logic synthesis by using our experience and experimental results. The proposed techniques was applied to a circuit with the hardware resource of about 650K gates. The synthesis time for the hybrid method was reduced by 47% comparing the bottom-up method and It has better timing property about slack than top-down method.

• Journal of Korean Society of Transportation
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• v.35 no.1
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• pp.37-49
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• 2017

This study proposes an analysis methodology for air quality improvement effect of transport and environment policy that are used for mobile pollution sources. The methodology considers the changes of traffic of road transport sources and air pollutant emission, the changes of atmospheric dispersion of air pollutants and the effects on the health of local residents in response to policy implementation. Especially, the changes to traffic flow must be considered in evaluating the effects on atmospheric environment as it has a direct connection to the effects of the policy in this study. We used bottom-up approach (BUA) based on the travel demand model to reflect the changes of travel behavior in detail in response to the policy implementation compared to the top-down approach (TDA) when calculating the changes of emission level of road transport. We showed the applicability of the proposed analysis methodology through a policy scenario analysis, and the analysis method can be effectively applied to the cases in which travelers' behavior changes are expected.

• Journal of KIISE:Databases
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• v.29 no.5
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• pp.367-380
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• 2002

Due to recent increase in applications requiring huge amount of data such as spatial data analysis and image analysis, clustering on large databases has been actively studied. In a hierarchical clustering method, a tree representing hierarchical decomposition of the database is first created, and then, used for efficient clustering. Existing hierarchical clustering methods mainly adopted the bottom-up approach, which creates a tree from the bottom to the topmost level of the hierarchy. These bottom-up methods require at least one scan over the entire database in order to build the tree and need to search most nodes of the tree since the clustering algorithm starts from the leaf level. In this paper, we propose a novel top-down hierarchical clustering method that uses multidimensional indexes that are already maintained in most database applications. Generally, multidimensional indexes have the clustering property storing similar objects in the same (or adjacent) data pares. Using this property we can find adjacent objects without calculating distances among them. We first formally define the cluster based on the density of objects. For the definition, we propose the concept of the region contrast partition based on the density of the region. To speed up the clustering algorithm, we use the branch-and-bound algorithm. We propose the bounds and formally prove their correctness. Experimental results show that the proposed method is at least as effective in quality of clustering as BIRCH, a bottom-up hierarchical clustering method, while reducing the number of page accesses by up to 26～187 times depending on the size of the database. As a result, we believe that the proposed method significantly improves the clustering performance in large databases and is practically usable in various database applications.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.622-624
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• 2002

본 논문에서는 선택적 주의에 기반한 잡영 영상에서의 목표물 탐지 방법에 대해 기술한다. 특히 제안하는 방법은 목표물에 대한 아무런 지식을 사용하지 않고, 단지 입력되는 영상의 상향식 단서만을 사용하여 목표물을 탐지해냄으로써 여러 다양한 분야에 일반적으로 사용될 수 있다. 제안하는 시스템에서는 몇 가지 기본 특징들이 입력된 영상에서 바로 추출되며, 이러한 특징들이 서로 통합되어 가는 과정에서 목표물 탐지에 유용하지 않은 정보는 자연스럽게 걸러지며, 유용한 정보는 추가되고 부각되어진다. 간단한 영상부터 복잡한 자연영상에 이르는 다양한 잡영 영상을 대상으로 실험하여 제안하는 시스템의 성능을 평가하였다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.409-422
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• 2017

과학기술계 정부출연연구기관(이하 출연(연))은 과학기술의 연구개발을 통해 국가 및 산업계 발전에 기여하기 위해 정부가 설립하고 운영을 재정적으로 지원하는 기관으로 1966년 한국과학기술연구원 설립 이후 2017년 현재까지 50년에 걸쳐 총 25개의 기관이 설립되어 운영 중에 있다. 설립 목적에서도 확인할 수 있듯이 출연(연)은 연구개발 성과를 활용하여 기술이전 지원을 통한 기업체 경영 성과 달성, 전문 연구 인력 배출, 정부 정책 수립 및 지원을 통한 산업 경쟁력 강화 등의 다양한 경제적 파급효과를 창출해왔다.. 그러나 출연(연) 연구개발 성과의 경제적 파급효과를 종합적이고 체계적으로 파악하기 위한 논의는 비교적 미흡한 실정이다. 이에 따라 본고에서는 기계분야 K연구원의 사례를 중심으로 출연(연) 연구개발 성과의 경제적 파급효과 산출을 위한 분석 틀을 제시하였다. 경제적 파급효과 분석의 틀은 크게 출연(연)의 연구개발성과가 이전 확산되는 산업의 경제적 성장에 대한 기관의 기여도를 산출하는 '하향식 접근'과 기술이전 지원, 전문 연구 인력 배출 등 기관의 연구개발 활동의 경제적 파급효과를 개별적으로 산출하여 더하는 '상향식 접근 방법'을 제시하였다. 이러한 '하향식 접근'과 '상향식 접근'의 활용은 두 방식을 통해 산출한 경제적 파급효과를 상호 비교함으로써 출연(연) 연구개발성과의 경제적 파급효과를 종합적이고 체계적으로 분석할 수 있는 기반을 마련하는데 그 의의가 있다. 향후 본 연구결과가 다양한 출연(연) 연구개발 성과의 경제적 파급효과를 산출하는데 활용되기를 기대한다.

• Journal of Advanced Navigation Technology
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• v.21 no.6
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• pp.521-528
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• 2017

Research on AI is essential to build a system with collective intelligence that allows a large number of UAVs to maintain their flight while carrying out various missions. A typical approach of AI includes 'top-down' approach, which is a rule-based logic reasoning method including expert system, and 'bottom-up approach' in which overall behavior is determined through partial interaction between simple objects such as artificial neural network and Flocking Algorithm. In the same study as the existing Flocking Algorithm, individuals can not perform individual tasks. In addition, studies such as UAV formation flight can not flexibly cope with problems caused by partial flight defects. In this paper, we propose organic integration between top - down approach and bottom - up approach through multi - agent system, and suggest a flight flight algorithm which can perform flexible mission through it.