• Journal of the Korean Society of Physical Medicine
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• v.12 no.1
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• pp.113-120
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• 2017

PURPOSE: The purpose of this study is to provide the basic data for developing the self-leadership program by identifying the effect of self-leadership on intrinsic motivation among physical therapy students. METHODS: One hundred physical therapy students in E university of Gyeonggido were recruited by convenience sampling from October 4 to 14, 2016. Of them, 89% were chosen and 79% were analyzed after excluding the cases with wrong answers. The survey, using Likert's five scales was conducted with fifteen items of intrinsic motivation (Cronbach's ${\alpha}$, .84) and thirty-five items of self-leadership (Cronbach's ${\alpha}$, .90). Frequency analysis, correlation analysis regression diagnostics, and multiple regression analysis were done with SPSS 20.0 Statistics program (IBM, Korea). RESULTS: The total score of Self-leadership was 3.61 and of substrategies was 4.05 (Natural reward strategy), 3.38 (Behavior-focus strategy), and 3.43 (Constructive thought pattern strategy), respectively. The score of intrinsic motivation was 3.43. The substrategy of Self-leadership indicated positive correlation with intrinsic motivation. The correlation values in higher order were .75 (Natural reward strategy), .66 (Behavior-focus strategy), and .61 (Constructive thought pattern strategy). The Constructive thought pattern strategy (t=5.18, p=.00) and Natural reward strategy (t=2.10, p=.38), except Behavior-focus strategy were effective on intrinsic motivation, according to the multiple regression analysis. CONCLUSION: Before stepping up to the next level of being a physical therapist, students must go through the educational program to improve the Constructive thought pattern strategy and Natural reward strategy.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.10
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• pp.410-417
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• 2006

Generally, the training set of maximum $m{\times}L(m+f)$ patterns in the pattern recognition method is required for the real-time bus reconfiguration strategy when a main transformer fault occurs in the distribution substation. Accordingly, to make the application of pattern recognition method possible, the size of the training set must be reduced as efficient level. This Paper proposes a methodology which obtains the minimized training set by applying the pattern clustering method to load patterns of the main transformers and feeders during selected period and to obtain bus reconfiguration strategy based on it. The MaxMin distance clustering algorithm is adopted as the pattern clustering method. The proposed method reduces greatly the number of load patterns to be trained and obtain the satisfactory pattern matching success rate because that it generates the typical pattern clusters by appling the pattern clustering method to load patterns of the main transformers and feeders during selected period. The proposed strategy is designed and implemented in Visual C++ MFC. Finally, availability and accuracy of the proposed methodology and the design is verified from diversity simulation reviews for typical distribution substation.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.11
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• pp.596-603
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• 2004

This paper proposes an expert system based on the pattern recognition method which can enhance the accuracy and effectiveness of real-time bus reconfiguration strategy for the transfer of faulted load when a main transformer fault occurs in the automated substation. The minimum distance classification method is adopted as the pattern recognition method of expert system. The training pattern set is designed MTr by MTr to minimize the searching time for target load pattern which is similar to the real-time load pattern. But the control pattern set, which is required to determine the corresponding bus reconfiguration strategy to these trained load pattern set is designed as one table by considering the efficiency of knowledge base design because its size is small. The training load pattern generator based on load level and the training load pattern generator based on load profile are designed, which are can reduce the size of each training pattern set from max L/sup (m+f)/ to the size of effective level. Here, L is the number of load level, m and f are the number of main transformers and the number of feeders. The one reduces the number of trained load pattern by setting the sawmiller patterns to a same pattern, the other reduces by considering only load pattern while the given period. And control pattern generator based on exhaustive search method with breadth-limit is designed, which generates the corresponding bus reconfiguration strategy to these trained load pattern set. The inference engine of the expert system and the substation database and knowledge base is implemented in MFC function of Visual C++ Finally, the performance and effectiveness of the proposed expert system is verified by comparing the best-first search solution and pattern recognition solution based on diversity event simulations for typical distribution substation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.6
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• pp.1546-1564
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• 2012

Pattern-based query processing has not attracted much attention in wireless sensor network though its counterpart has been studied extensively in data stream. The methods used for data stream usually consume large memory and much energy. This conflicts with the fact that wireless sensor networks are heavily constrained by their hardware resources. In this paper, we use piece wise representation to represent sensor nodes' collected data to save sensor nodes' memory and to reduce the energy consumption for query. After getting data stream's and patterns' approximated line segments, we record each line's slope. We do similar matching on slope sequences. We compute the dynamic time warping distance between slope sequences. If the distance is less than user defined threshold, we say that the subsequence is similar to the pattern. We do experiments on STM32W108 processor to evaluate our strategy's performance compared with naive method. The results show that our strategy's matching precision is less than that of naive method, but our method's energy consumption is much better than that of naive approach. The strategy proposed in this paper can be used in wireless sensor network to process pattern-based queries.

• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.4
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• pp.51-58
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• 2019

Purpose - This paper aims to analyze the difference of technological innovative pattern by industry. Research design and methodology - we try to identify the major factors which can exert an effective influence on actual innovation output, utilizing the result of Korean Innovation Survey. By doing so, this work can make a comparison with Pavitt (1984) and succeeding discussion on sectoral pattern of innovation Results - Analysis on major industry in Korea shows that there are substantial differences in terms of the source of innovation, organization-related factor, and appropriation mechanism among each industry, and differential strategy to be proper for the nature of each industry is needed. There is some variation within industries which deemed as same type of sector defined by Pavitt. Conclusions - This analysis call for elaborate analysis on sectoral pattern of innovation, considering the change and difference of innovative environment as well as differential business strategy and way to do innovate, which is proper considering the nature of innovative pattern in each industry for successful technological innovation in Korea. At the same time, proper policy measure considering the differential pattern of technological innovation is needed.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.148-150
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• 2003

본 논문은 재공학 환경에서 기존의 디자인 패턴을 적용성 향상을 위해 UML로 표현하였으며, 대상으로는 디자인 패턴 중에서 Strategy Pattern과 Visitor Pattern을 이용해 보았다. Strategy Pattern에서는｛variation｝과 ｛incomplete｝를 이용하였다.｛variation｝은 메소드 구현시 패턴을 캡슐화하여 다양하게 변경될 수 있도록 하였다. 또한,｛incomplete｝는 주어진 관계를 만족하는 새로운 클래스가 패턴 인스턴스화 동안에 추가될 수 있도록 하였다. Visitor pattern에서의｛extensible｝은 클래스 인터페이스가 패턴을 캡슐화하고 있는 개념으로 다양하게 변경될 수 있도록 하였다. 즉, 클래스 인터페이스는 패턴 인스턴스화에 의존적이며 새로운 메소드와 속성을 클래스가 기능적으로 확장할 수 있는 기능을 갖는다.

• Journal of Korean Elementary Science Education
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• v.30 no.4
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• pp.634-645
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• 2011

The purpose of this study was to investigate the analysis on the pattern and proposition process of science inquiry problems proposed by elementary school general students and science-gifted ones. The science inquiry problems were composed of one quantitative problem and one qualitative problem. To conduct this study, general students and science-gifted ones of grade 4 and 5 in elementary schools were selected. The results of this study were as follows. In both quantitative and qualitative problem, most of the students, including all the sciencegifted students and general ones, used N-IP pattern and S2 proposition process strategy to propose inquiry problems. In the relationship between proposed problem and proposition process strategy, when using S2 strategy, N-IP problems were chiefly proposed. And when using S2, S3 strategies, more patterns of inquiry problems were generated than using any other strategies. Drawing proposition processes of inquiry problem into map, science-gifted students used much more proposition process strategies than general ones.

• Journal of the Korean earth science society
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• v.23 no.2
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• pp.154-165
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• 2002

The purpose of this study was to examine the effects of metastrategic exercise on a scientific reasoning strategy to control variables, and investigate the developmental patterns in the strategy usage within a given period. Two groups composed of 90 fifth grade students engaged in a scientific reasoning task over six daily sessions. Additionally, one group engaged in metastrategic exercise on fictional students' strategies of controlling variables on the task, while the other spent equivalent time on an unrelated task. Based upon results of the study, the following conclusions can be drawn. First, the metacognitive exercise on the strategy to control variables has positive and long-standing effects on the strategy performance at the reasoning task. The exercise also takes effect of near-transfer. Taking into consideration only about sixty minutes of metastrategic practice, the results provide the validity of the activity in order to develop children's reasoning strategies. Second, in a scientific reasoning task, each child seems to go through one out of two developmental patterns in their usage of reasoning strategies: gradual change or fundamental change. Considering the ratio of pattern of fundamental change between the two groups, it is clear that the metacognitive exercise influences the developmental pattern of strategy usage.

• Proceedings of the Technology Innovation Conference
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• 1992.12a
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• pp.119-155
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• 1992

Traditionally, the target of manufaturing technology strategy was derived in a efficiency, cost and productivity. So most activities of the manufacturing brought focus into the engineering technology, equipments and research and improvement of new products to maximize the efficiency. As a resell of this legacy, most of the activities of manufacturing has been executed on the method of quality improvement, development of new equipment to incense the efficiency and the research of materials for new products. Those trends, however overlook the operation management activities which is very important as a assets in competitive strategy. But the market enviornment of morden manufacturing companies faced to the uncertainty and complexity. So they need capability of competition which requires new concept of manufacturing technology strategy to grasp the competitive advantages. In this point of view, this paper deal with the empirical study in korean manufacturing technology strategy of the electic and electronic industry. For the empirical study, check list was made to survey the 98 manufacturing companies. The analysis procedures are as below. First, identify the manufacturing technology group an product structure group by each variable. Second manufacturing technology variables are segmented into product technology and vertical integration, suborder and infrastructure, to analyse the decision making pattern which derive the strategy groups. Third, by the fitness analysis between product structure group and manufacturing technology group, the economic results of a growth rate of sale and a profit rate of sale are tested. In this approach, fitness analysis between product structure group and manufacturing technology group show, as a whole, the no significant values in economic results of the company. But investigating the statistical values shows the trend that econmic result of the complany is somewhat higher when the degree of fitness of manufacturing technology strategy by product structure has high value. Concluding the remarks, the competitive advantages of company lies not in the efficiency of manufacturing systems but in the way of the structure and decision making pattern of the manufacturing system. And the cons i stoney between strategy target and manufacturing technology strategy, and the consistency of manufacturing technology strategy and product structure are the term of competitive advantages.

• Journal of Information Technology Applications and Management
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• v.17 no.1
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• pp.127-139
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• 2010

Customer behavior pattern discovery is the fundament for conducting customer oriented services and the services management. But, the composition, need, interest and experience of customers may be continuously changing, thereof lead to the difficulty in refining a stable description of their consistent behavior pattern. This paper presented a new method for the behavior pattern discovery from a changing collection of customers. It was originally inspired from the swarm intelligence of ant colony. By the adaptive clustering, some typical behavior patterns which reflect the characteristics of related customer clusters can extracted dynamically and adaptively.