• Journal of Korean Academy of Nursing
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• v.50 no.2
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• pp.178-190
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• 2020

Purpose: The purpose of this study was to identify trends of nursing concept development in Korean journal papers to improve accurate understanding of nursing concepts. Methods: A systematic review of 216 concept development articles published from 1970 to 2018 that met the inclusion criteria was conducted using Research Information Sharing Service (RISS) databases. Results: The most common method of concept development was Walker and Avant's concept analysis method, identified in 139 (64.3%) of the 216 studies, followed by 48 examples of hybrid models (22.2%) and 15 examples of evolutionary methods (6.9%). Chinn and Kramer's method, Norris's clarification, Wilson's method, and others were also used. The concepts of "spirituality" and "fatigue" were most frequently analyzed. Among the 139 studies that used Walker and Avant's concept analysis method, 127 studies (91.4%) applied all the recommended steps; the others applied the recommended steps partially, omitting description of model cases/additional cases, antecedents/consequences, and empirical indicators. Among the studies using the hybrid model, among two (5.7%) did not describe attributes, three (8.5%) did not provide definitions, and 16 (45.7%) did not present empirical indicators in the final stage. Conclusion: Among concept development studies published in Korean journals, Walker and Avant's concept analysis method is most commonly used. In case of most studies using Walker and Avant's method a suitable concept analysis process is applied, but in case of other studies using the other concept development method, a suitable concept analysis process is not applied. Therefore, a suitable concept analysis process must be applied for concept development in nursing research.

• Journal of Korean Academy of Nursing
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• v.36 no.3
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• pp.493-502
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• 2006

Purpose: Concept analysis is an essential part of theory development in nursing. Thus, many strategies or methods of concept analysis have been suggested in nursing literature. However, in Korea, only limited strategies were utilized, without much consideration on a wide range of strategies in choosing a method that coincides with the characteristics of each concept to analyze The purpose of this article was to propose various strategies for concept analysis. Method: A literature review method was used. Result: Ten methods of concept analysis were identified in the literature, and they were evaluated for advantages and limitations, In addition to the method by Walker and Avant and a hybrid model, more advanced strategies, such as triangulation method, critical analysis and the feminist approach were introduced and described in detail. The examples used in each concept analysis method were presented in table to provide the extent of utilization of each method. Conclusion: This article provides a wide range of strategies in identifying, clarifying, or elaborating a concept. It might help in choosing a method that best fits the concept to analyze, thus enhancing quality of concept analysis research.

• Journal of Integrative Natural Science
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• v.13 no.4
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• pp.147-151
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• 2020

In this paper, we propose a method to detect concept drift by applying Convolutional Neural Network (CNN) in a data stream environment. Since the conventional method compares only the final output value of the CNN and detects it as a concept drift if there is a difference, there is a problem in that the actual input value of the data stream reacts sensitively even if there is no significant difference and is incorrectly detected as a concept drift. Therefore, in this paper, in order to reduce such errors, not only the output value of CNN but also the probability vector are used. First, the data entered into the data stream is patterned to learn from the neural network model, and the difference between the output value and probability vector of the current data and the historical data of these learned neural network models is compared to detect the concept drift. The proposed method confirmed that only CNN output values could be used to reduce detection errors compared to how concept drift were detected.

• Journal of Korean Academy of Rural Health Nursing
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• v.10 no.1
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• pp.5-15
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• 2015

Purpose: This study was conducted to analyze the concept of nurses' emotional labor. Method: Rodgers's evolutionary concept analysis was used. Result: Nurses' emotional labor can be defined by two attributes: emotional distortion and self-regulation process. Antecedents of nurses' emotional labor include interactional, organizational and personal factors. The consequences of nurses' emotional labor are emotional dissonance and internalization of organizational display rules. Conclusion: Appropriate instrument to operationalize the concept need to be developed.

• Communications of Mathematical Education
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• v.32 no.1
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• pp.37-57
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• 2018

In the early days, the use of concept maps in mathematics education focused on how to represent mathematical ideas in the concept map. In recent years, however, concept maps have proved beneficial for improving problem solving ability. Conceptual diagrams can be used for collaboration among students, tools for exploring problems, tools for introducing problem structures, tools for developing and systematizing knowledge systems. In this study, we focused on the structure analysis of mathematical problems using Concept Map based on the analysis of previous research. In addition, we have devised a method of using concept maps for problem analysis and a method of analysis of systematic mathematical problem structure. The method developed in this study was found to have significant value by applying to the university scholastic ability test.

• Journal of the Korean Society of Systems Engineering
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• v.9 no.2
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• pp.7-14
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• 2013

Because submarine is high-technology and very complex system, it takes a lot of time, cost and manpower for design. For efficient concept design, application of systematic method is required such as system engineering. In this study, we studied application method of MBSE for submarine concept design with SWBS (Ship Work Breakdown Structure). Components of submarine system from SWBS were classified and organized as system architecture with 'Vitech CORE'. Through the MBSE application for concept design, systematic, efficient and traceable concept design of submarine was considered.

• ETRI Journal
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• v.29 no.2
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• pp.179-188
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• 2007

We propose a multi-strategic concept-spotting approach for robust spoken language understanding of conversational Korean in a hostile recognition environment such as in-car navigation and telebanking services. Our concept-spotting method adopts a partial semantic understanding strategy within a given specific domain since the method tries to directly extract predefined meaning representation slot values from spoken language inputs. In spite of partial understanding, we can efficiently acquire the necessary information to compose interesting applications because the meaning representation slots are properly designed for specific domain-oriented understanding tasks. We also propose a multi-strategic method based on this concept-spotting approach such as a voting method. We present experiments conducted to verify the feasibility of these methods using a variety of spoken Korean data.

• Journal of the Korean earth science society
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• v.24 no.5
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• pp.371-377
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• 2003

The purpose of this study is to examine the effects of utilizing concept maps in a rock-related unit. To do this, two groups composed of 73 sixth grade students engaged in this study. One group (experimental group) participated in utilizing concept maps in the unit, the other (control group) took part in traditional instruction in the same unit. The results of this study are as follows, after seventeen sessions: First, the achievement between the two groups showed significant difference. It indicates that utilizing concept maps as an instructional method is effective. Second, in the examination of the experimental group's attitudes toward concept maps, the students showed more affirmative responses on cognitive items than on affective items. Third, the students showed that they have difficulty in the method and the procedure of drawing up the concept maps. It indicates that the method and the procedure are sufficiently learned before instruction begins.

• Journal of Korean Elementary Science Education
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• v.23 no.3
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• pp.208-218
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• 2004

Many elementary school students have misconception related to dissolution and solution. Moreover, they usually fail to apply the results of the experiments in their science classes to their everyday life, and also have low science achievement. Therefore, they are not interested in science, and sometimes some of them are even afraid of it. The purposes of this study is to investigate the effects of concept mapping activity on science achievement and attitude. In addition, this study also aims at presenting the teaching and learning method of utilizing concept maps in order to have the students form correct concepts. The subjects were classified into two groups one group is composed of thirty-seven students (experimental group) who were participated in concept mapping activity, and the other is composed of thirty-eight students (comparison group) who were participated in the traditional teaching method. The major findings of this study are as follows: First, the concept mapping activity has a positive effect on improving students＇ science achievement. Second, the classes using concept maps have a good influence on forming students＇ science attitude. Third, the concept mapping activity is more effective in improving science achievement of mid and low level students. In conclusion, the loaming by concept mapping activity positively influence students＇ science achievement and attitude. Particularly for the students in mid and high levels, the effect is more remarkable.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.853-861
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• 2003

An improved K-means document clustering method has been presented, where a concept vector is manipulated for each cluster on the basis of cosine similarity of text documents. The concept vectors are unit vectors that have been normalized on the n-dimensional sphere. Because the standard K-means method is sensitive to initial starting condition, our improvement focused on starting condition for estimating the modes of a distribution. The improved K-means clustering algorithm has been applied to a set of text documents, called Classic3, to test and prove efficiency and correctness of clustering result, and showed 7% improvements in its worst case.