• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.686-689
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• 2008

In the past decade, various data mining techniques have been used in construction engineering as a means to make informed decisions through the aid of useful knowledge discovered from historical data. Researchers in the construction domain are often confronted with a challenge to derive a meaningful conclusion with a limited sample of data. However, when the data size is small, the proposed results are often illogical. Even if the derived results are technically flawless, sometimes it is difficult to reproduce these results by using the same analysis method when a different set of data is used. This paper reviews some problems that stem from limited data size, and discusses several recommendations for dealing with these problems.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.511-518
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• 2012

In this study, the trend in green technology was observed and the domain of the green technology area that will be actively studied in the future was found by establishing knowledge map in green technology area and comparing and analyzing green technology information in Korea and overseas in time series. For the purpose of this study, network analysis was conducted for the keyword of green technology information provided by green technology information portal site (www.gtnet.go.kr) operated by Korea Institute of Science and Technology Information. Network analysis was conducted using keyword, and change of study subject was found by dividing the analysis result into periods. In the result of network analysis on top 100 keywords from total English keyword, it was found that renewable energy related areas such as solar energy and biomass had high centrality. When the main keyword trend by year was studied, centrality of solar cell, nanotechnology, smart grid, and fuel cell were found to increase, showing that research and development in generation and use of renewable energy are actively made.

• The Journal of Korea Robotics Society
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• v.6 no.3
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• pp.197-209
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• 2011

This paper presents a localization system using ceiling images in a large indoor environment. For a system with low cost and complexity, we propose a single camera based system that utilizes ceiling images acquired from a camera installed to point upwards. For reliable operation, we propose a method using hybrid features which include natural landmarks in a natural scene and artificial landmarks observable in an infrared ray domain. Compared with previous works utilizing only infrared based features, our method reduces the required number of artificial features as we exploit both natural and artificial features. In addition, compared with previous works using only natural scene, our method has an advantage in the convergence speed and robustness as an observation of an artificial feature provides a crucial clue for robot pose estimation. In an experiment with challenging situations in a real environment, our method was performed impressively in terms of the robustness and accuracy. To our knowledge, our method is the first ceiling vision based localization method using features from both visible and infrared rays domains. Our system can be easily utilized with a variety of service robot applications in a large indoor environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.1
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• pp.74-82
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• 2008

The objective of this paper is to remove noises of image based on the heuristic noises filter and to extract a tumor region by using morphology techniques in breast ultrasound image. Similar objective studies have been conducted based on ultrasound image of high resolution. As a result, efficiency of noise removal is not fine enough for low resolution image. Moreover, when ultrasound image has multiple tumors, the extraction of ROI (Region Of Interest) is not accomplished or processed by a manual selection. In this paper, our method is done 4 kinds of process for noises removal and the extraction of ROI for solving problems of restrictive automated segmentation. First process is that pixel value is acquired as matrix type. Second process is a image preprocessing phase that is aimed to maximize a contrast of image and prevent a leak of personal information. In next process, the heuristic noise filter that is based on opinion of medical specialist is applied to remove noises. The last process is to extract a tumor region by using morphology techniques. As a result, the noise is effectively eliminated in all images and a extraction of tumor regions is possible though one ultrasound image has several tumors.

• Journal of Korean Elementary Science Education
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• v.27 no.3
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• pp.221-232
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• 2008

The purpose of this study was to compare the written tests of the science lessons at elementary schools with the instructional objectives of the teachers' guide for the first term of the 5th grade by using Klopfer's taxonomic system. In the analysis of the instructional objectives in the teachers' guide, A.0(40.0%) and $B.0{\sim}E.0$(42.4%) showed high level but the proportion of processes of F.0(5.6%), G.0(4.0%), H.0(4.0%), and I.0(4.0%) showed low level, while in the written tests A.0 was 54.8%, $B.0{\sim}E.0$ was 36.1%, F.0 was 7.3%, and G.0 was 1.8% but H.0 and 1.0 was not taken at all. In the comparison with the instructional objectives in the teachers' guide about the domain of the knowledge and the comprehension showed hish and the processes of the scientific inquiry showed relatively low. The results of this study suggested that a desirable written test should be made to consider elementary science curriculum and instructional objectives and hold up rates of each behavior category between the instructional objectives of teachers guide and assessment objectives of written tests.

• Journal of Korean Academy of Nursing
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• v.29 no.1
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• pp.72-83
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• 1999

The purpose of this study was to classify, from collected home health care records data, nursing diagnoses according to the NANDA system and nursing interventions according to the NIC system, and to link nursing interventions to nursing diagnoses. For this study, 101 home health care records of clients seen between September, 1994 and November, 1996 at Yonsei Medical Center, Seoul, were analyzed. The results of this study are summarized as follows : 1. The most frequent nursing diagnoses were ‘Risk for infection’ and ‘Altered nutrition : Less than body requirements’, then ‘Impaired skin intergrity’ and ‘Ineffective airway clearance’ in the Exchange pattern of NANDA nine human response patterns. 2. The most frequent nursing interventions were the interventions in the Physiological : Complex domain, there were 690(50.7%) interventions among a total 1347 interventions. This results corresponds to Yom, Young Hee(1995)’s research, both Korean and U.S. nurses used the interventions in the Physiological : Complex do main most often on a daily basis. And respiratory nursing interventions were most frequent because 32.7% of the subjects were respiratory patients. 3. The next step was to link the nursing interventions to nursing diagnoses. The most frequent nursing diagnosis was ‘Risk for infection’ and 19 interventions for ‘Risk for infection’ were used 267 times. Then 14 interventions for ‘Impaired skin integrity’ were used 258 times, 12 interventions for ‘Ineffrective airway clearance’ were used 193 times, 12 interventions for ‘Altered nutrition : Less than body requirements’ were used 122 times, 10 interventions for ‘Activity intolerance’ were used 75 times, and 11 interventions for ‘Knowledge deficit’ were used 52 times. 4. The use of standardized classification in the areas of nursing diagnoses and nursing interventions facilitates clinical decision making and prompt nursing activity, and so enhances the effectiveness of nursing care.

• Journal of Intelligence and Information Systems
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• v.5 no.2
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• pp.43-61
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• 1999

국방정보체계는 종류가 다양하고 대규모로 추진되기 때문에 소프트웨어 개발을 위한 사업관리에 어려움이 많이 따른다. 더구나, 현재 국방정보체계의 사업관리는 자동화시스템을 이용하여 체계적으로 실시하지 않고 수동으로 처리하기 때문에 많은 문제점이 야기되고 있고 현재의 소프트웨어 개발 표준인 ISO 12207을 수정 없이 그대로 대규모 실시간 국방정보체계의 소프트웨어 개발사업에 적용하는 것도 한계가 있다. 따라서 본 논문의 목적은 효율적인 국방정보체계 소프트웨어 개발 사업관리를 위해서 국방정보체계별로 적절한 개발 생명주기 모델을 선정하고, 각 단계별로 사업관리자가 수행할 태스크를 식별하는 등의 도메인 지식을 개발하여 궁극적으로 국방정보체계 사업관리용 전문가 시스템을 개발할 때 활용함과 동시에 국방정보체계 사업관리의 일환으로 최종 산출물에 대한 품질을 높일 수 있도록 체계적인 시험평가 방안에 대한 도메인 지식도 개발하여 사업관리용 전문가 시스템 구축 시에 활용하고자 하는 것이다. 이를 위해서 국방정보체계의 소프트웨어 개발 사업관리에 영향을 미치는 요소들을 식별하고 이를 이용하여 국방정보체계 소프트웨어 개발 사업관리를 위한 전문가 시스템을 구축할 수 있도록 생명주기 모델 선정을 위한 도메인 지식, 생명주기 각 단계별 세부활동을 위한 도메인 지식, 시험평가 방안선정을 위한 도메인 지식을 개발하여 제시하였다. 본 논문에서는 이러한 도메인 지식을 전문가 시스템 개발도구에서 지원되는 각종 에디터에 사용되는 형태나 IF A, THEN B 형태로 개발하지 않고 사업관리용 전문가 시스템의 지식베이스에 포함될 지식들을 식별하는 것을 중심으로 개발하였다. 즉, 본 논문에서는 국방정보체계 사업관리용 전문가 시스템 개발의 필요성과 가능성을 검증하는 용역연구과제로써 프로토타입 혹을 완벽한 사업관리용 전문가 시스템을 개발한 것이 아니며, 전문가 시스템 개발 시 가장 어렵고 중요한 지식베이스 모듈속에 포함될 도메인 지식을 개발하는 것이 이 연구의 목적이다. 이러한 연구는 궁극적으로는 이러한 도메인 지식이 국방정보체계의 사업관리를 위한 전문가 시스템의 지식베이스 모듈 구축 시 기초/기반 및 핵심 지식으로 활용될 수 있을 것이다.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.557-568
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• 2008

An ontology as the core element of Semantic Web is a formal specification of a conceptualization of shared domain knowledge. The use of well-defined ontologies can increase the quality of interoperable information systems in the area of Semantic Web. However, in practice, it is not easy to develop high-quality ontologies which have no errors. Therefore, with methodologies for ontology design, various methods or tools for ontology analysis supporting for error-detection might be very helpful for ontology developers. In this paper, we propose a novel approach for analyzing the core constructs of ontology based on the Formal Concept Analysis and develop a tool that supports error-checking ontologies. Our approach can serve not only as a guidance to modify the existing ontologies, but also as a valuable tool in developing high-quality ontologies.

• Journal of the Society of Naval Architects of Korea
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• v.29 no.3
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• pp.131-139
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• 1992

By introducing a body potential, the high-oder spectal method of Dommermuth and Yue(1987) is extended to treat the nonlinear interactions between the free surface and the submerged cylinder. A 2-dimensional numerical wave tank is developed based on this numerical scheme, and applied to the wave resistance problem and the wave maker problem. In the simulations, it is shown that the transient waves due to the impulsive start of the body motion make a practical obstacle to the acquisition of useful data from the numerical experiments. Gradual starting procedures are devised, and successful result of the quasi-steady state or the uniform regular wave group was obtained. Within the author's present knowledge, the present numerical scheme is one of the most efficient numerical schemes which can treat the nonlinear interactions between the free surface and the body motion in time-domain.

• The Journal of Society for e-Business Studies
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• v.18 no.1
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• pp.165-189
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• 2013

Conceptual modeling is a critical activity for developing successful business information systems. The objective of this study is to evaluate the possibility of applying the constant comparison method from the grounded theory to conceptual modeling. To achieve the objective, we trained novice modelers and split them into two groups for evaluation. The experimental results show that applying the constant comparison method could increase acceptability from more experienced conceptual modelers. Moreover, while the control group was experienced difficulties when domain knowledge is unfamiliar, the experimental group could handle difficulties more effectively. In addition, applying the constant comparison method also decreased the time to complete analysis for conceptual modeling.