• School Mathematics
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• v.3 no.2
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• pp.373-399
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• 2001

The function is a basic and key concept to understand mathematical problems. However, many students have difficulties to expand the knowledge to other related concepts and to transfer the knowledge to real world problems. The reasons for the problem may be that the concept of function is taught by simplified and abstracted formula without fully understanding of the reasoning process. Also, the examples for the concepts are artificial and not related to students' experiences. Situated learning theory provides great implications to solve these problems. So, this study was designed to teach the concept of function more meaningful to students by appling situated learning theory. Thirty-eight middle school students were participated in this study. Students were provided the instruction designed according to the principles of situated learning theory. Then, they were asked to complete attitude survey questionnair and a performance assessment task. The result showed that the instruction based on situated learning theory was useful to Promote students' understanding and motivation for learning. More implications of the study was provided in the paper.

• Journal of Aerospace System Engineering
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• v.10 no.3
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• pp.44-51
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• 2016

This paper describes the operational concept of the Aegis ship's missile defense. Recently, North Korea conducted a fourth nuclear-weapon test that involved the launch of a long-range missile and the underwater launch of an SLBM. The ground-based BMD (Ballistic Missile Defense) system is very limited for the SLBM of a miniaturized nuclear warhead; therefore, it is necessary to build a reliable sea-based missile-defense system. The ROK Navy has, however, only utilized the Aegis ship that is designed with a search-and-tracking sensor but is without a ballistic-missile interception capability. Given this information, this work focuses on the operational concept of the Aegis BMD by comparing the BMD capabilities of the ROK with those of the U.S.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.79-87
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• 2007

This paper aims to offer a solution based on semantic document classification to improve e-Government utilization and efficiency for people using their own information retrieval system and linguistic expression Generally, semantic document classification method is an approach that classifies documents based on the diverse relationships between keywords in a document without fully describing hierarchial concepts between keywords. Our approach considers the deep meanings within the context of the document and radically enhances the information retrieval performance. Concept Weight Document Classification(CoWDC) method, which goes beyond using exist ing keyword and simple thesaurus/ontology methods by fully considering the concept hierarchy of various concepts is proposed, experimented, and evaluated. With the recognition that in order to verify the superiority of the semantic retrieval technology through test results of the CoWDC and efficiently integrate it into the e-Government, creation of a thesaurus, management of the operating system, expansion of the knowledge base and improvements in search service and accuracy at the national level were needed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.110-117
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• 2012

A product family design has received much attention over the last several decades, since a product family-based development shortens lead-times and reduces cost, as well as increases efficiency and effectiveness of the product realization process. It is challenging work, however, to define the product family design in the heterogeneous product development environments, due to myriads of products related information described in different ways across products in any companies. In this paper, we provided a way of defining product family design framework using formal concept analysis and ontology language. Based on this, the specific product family can be derived by ontological reasoning, and the new product concept can be also expanded in the framework. The proposed framework is formalized using OWL (Web Ontology Language) and implemented in $Prot{\acute{e}}g{\acute{e}}$. Actual product family design algorithm is carried out using FaCT++ engine, a plug-in to $Prot{\acute{e}}g{\acute{e}}$, and the benefits of the proposed method are also demonstrated through a case study.

• Journal of the Korea institute for structural maintenance and inspection
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• v.2 no.2
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• pp.151-161
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• 1998

In this study, an attempt is made to apply the concept of fuzzy-bayesian theory to the integrity assessment of RC highway bridge, and uncertainty states are represented in terms of fuzzy sets which define several linguistic variables such as "very good", "good", "average", "poor", "very poor", etc. Especially, the concept of fuzzy conditional probability aids to derive a new reliability analysis which includes the subjective assessment of engineers without introducing any additional correction factors. The fuzzy concept are also used as reliability indexes for the condition assessment based on the proposed models, the proposed fuzzy theory-based approach with the results of visual inspection and extensive field load tests are applied to the integrity assessment of a new RC highway bridge, namely, Jichok bridge.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2003.09a
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• pp.107-114
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• 2003

There are many problems in the prediction of dynamic behaviors of saturated soils because undrained excess pore water pressure builds up and then the strain softening behavior is occurred simultaneously. A few analytical constitutive models based on the effective stress concept have been proposed but most models hardly predict the excess pore water pressure and strain softening behaviors correctly In this study, the disturbed state concept (DSC) model proposed by Dr, Desai was modified to predict the saturated soil behaviors under the dynamic loads. Also, back-prediction program was developed for verification of modified DSC model. Cyclic triaxial tests were carried out to determine DSC parameters and test result was compared with the result of back-prediction. Through this research, it is proved that the proposed model based on the modified disturbed state concept can predict the realistic soil dynamic characteristics such as stress degradation and strain softening behavior according to dynamic process of excess pore water pressure.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.33-39
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• 2024

In a previous study we proceeded to the remodularization architecture based on classes and packages using the Formal Concept Analysis (FCA)[13] [14] [30]. we then got two possible remodularized architectures and we explored the issue of redistributing classes of a package to other packages, we used an approach based on Oriented Graph to determine the packages that receive the redistributed classes and we evaluated the quality of a remodularized software architecture by metrics [31] [28] [29]. In this paper, we will address the issue of the efficiency of the Oriented Graph in the remodularization of software architectures compared to the Formal Concept Analysis FCA method. The formal method of FCA concept is not popularized among scientists as opposed to the use of the labeled directed graph. It is for this reason that our directed graph approach is more effective in its simplicity and popularity.

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2004.04a
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• pp.126-131
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• 2004

• 모자간호학회지
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• v.4 no.1
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• pp.80-90
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• 1994

Concept analysis is a strategy that examines the attributes or characteristics of a concept. It is a formal linguistic exercise to determine those defining attributes. The basic purpose of concept analysis is to clarify ambiguous concepts in theory, and to propose a precise operational definition which reflects the theoretical base of the concept. The concept of maternal role is too broad and variable in expression, therefore there has been no authentic definition nor standard opinion for this concept. The purpose of this study is to clarify the concept of maternal role which in turn will help in the development of a theory of maternal role attainment. In order to analyze the concept of maternal role, much effort was extended to look up "maternal role" in various dictionaries and literature, but only a few cases were found which listed this terminology. Consultation on the meaning of "mother" and "role" separately was then done and consequently a definition of "maternal role" was obtained through concept analysis of these two words independently, finding their attributes and unifying them. The attributes of the concept of maternal role which was analyzed based on the steps of concept analysis by Walker & Avant (1988) are : 1) Women who have pregnancies 2) Women who have a child 3) Women who rear a child 4) Expected behavior according to social status 5) Learning through social cultures 6) Social interrelationships. The antecedents of the maternal role are : 1) women who are pregnant and deliver a baby, must keep in contact with their child. 2) Circumstances for childrearing must be provided. 3) Formation of self-concept as mother should be developed, cognitive activity, which is necessary for the nurturing activity, financial support and preparation of childrearing should be provided. And the consequences of the maternal role are : 1) Improvement 2) Changeability 3) Ambiguity 4) Stability Through this concept analysis, the concept of the maternal role is defined as "expected behavior by social interrelationships and learned nurturing behavior through social cultures."

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.997-1008
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• 2006

For extracting and processing information explicitly from given data, Formal Concept Analysis(FCA) is provided a method which is widely used for data analysis and clustering. The data can be structured into concepts, which are formal abstractions human thought allowing meaningful comprehensible interpretation. However, most FCA tools mainly focus on analyzing one-valued contexts that represent objects, attributes and binary relations between them. There we few FCA tools available that provide scaling and analyzing many-valued contexts representing objects, attributes and relations with attributes' values. In this paper, we propose not only a scaling algorithm for interpreting and simplifying the multivalued input data, but also an algorithm to generate concepts and build concept hierarchy from given raw data as well. Based on these algorithms, we develop an automate tool, FCA Wizard, for concept analysis and concept hierarchy. We also present FCA Wizard based applications in medical domain.