• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.2
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• pp.5-23
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• 2015

The aim of this study is to analyze the effects of the creative writing program that is one of the practical strategy of information literacy on self-directed learning abilities of elementary school students. According to the results, this program raise the average score of 33.69 points from 130.14 to 163.83 significantly in their self-directed learning abilities. Among the specific abilities of them, this program affects learning planning and evaluation capability meaningfully. But the long term continuous of learning executive is not changed significantly by this program. As the results of after interview with the students who take part in this program, the most of them respond that they could reduce their fear of writing and apply the reading and writing strategies to other subjects. So, if we teach this program with subjects consistently and use the learning strategies of information literacy, we could improve the long term continuous of learning executive.

• Journal of The Korean Association For Science Education
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• v.33 no.5
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• pp.881-892
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• 2013

It has been recently emphasized that comprehensive understanding of students' cognitive activities in the process of writing as well as final product is needed in order to develop an effective strategy for science writing. In this study, we investigated the characteristics of writing process in the situation that students wrote a composition in solving the application problem on a science topic. Seven eighth graders selected in the consideration of their science achievement and communication skills were asked to write a composition using think-aloud method. They were also interviewed after their writing work. The analyses of the results indicated that students' writing processes consisted of six distinctive components: generating, organizing, setting, translating, evaluating, and revising. It was also found that the patterns of process components for each student were different in terms of the frequency and the sequence. The patterns of process components were categorized into four types: systematic, tacit planning, trial and error, and random strategies. Educational implications were also discussed.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.16 no.1
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• pp.105-111
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• 2003

Wheel for passenger car support the car weight with tires, and they transmit rolling and braking power into the ground. Whittling away at wheel weight is more effective to boost fuel economy than lighting vehicle body structure. A shape of hole in disk is optimized for minimizing the weight of steel wheel. Pro/ENGINEER program is used for formulating the design model, and ANSYS package is selected for analyzing the design model. It has difficulties to interface these commercial software directly. For Combining both programs, response surface methodology is applied to construct approximation functions for maximum stresses and maximum displacements are obtained by full factorial design of five levels. This steel wheel is modeled in 14-inch diameter of rim, and wide parameter of hole in disk is only selected as design variable for reducing the weight of steel whee. PLBA(Pshenichny-Lim-Belegundu-Arora) algorithm, which used the second-order information in the direction finding problem and uses the active set strategy, is used for solving optimization problems.

• Education of Primary School Mathematics
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• v.6 no.2
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• pp.75-84
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• 2002

After entering an elementary school, in fact, a number of children regard mathematics as one of very difficult subjects because of its abstractiveness. This is caused by the fact that their basic thinking power is not yet formed or they can not understand the special quality of mathematics. So this article emphasizes the need to build up the higher logical thought and a basic mathematical concept at the lower grade elementary school stage in which the loaming activity on mathematics begins in earnest, that is, at the stage before having an experience on the calculating activity using numbers. But at present the lower grade elementary school students in our country do not understand the special quality of mathematics composed of a various symbolic system and lay stress upon mathematics learning attached to the calculative activity. In order to make the right mathematical concept of the lower grade elementary school, the basic knowledge and ability as follows is sure to be formed. 1) the foundational logical manipulation activity and knowledge 2) the using ability of the sign and symbolic system At the stage on which mathematics learning activity begins, it is a very important task to make the right concept of the abstractive math and nurse the capability for finding mathematical relations covered under the sign system through the continuos loaming activity on . Through the basic logical manipulation activity and the game activity of sign for lower grade elementary school students mentioned in this article, they can not only foster the higher level logical thinking power and the foundational calculative ability but also bring up the interest on the activity of establishing a new problem solving strategy.

• The KIPS Transactions:PartD
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• v.11D no.2
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• pp.269-280
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• 2004

The Pyramid-Technique is based on mapping n-dimensional space data into one-dimensional data and expresses it as a B+-tree. By solving the problem of search time complexity the pyramid technique also prevents the effect of "phenomenon of dimensional curse" which is caused by treatment of hypercube range query in n-dimensional data space. The SPY-TEC applies the space division strategy in pyramid method and uses spherical range query suitable for similarity search so that Improves the search performance. However, nearest neighbor query is more efficient than range query because it is difficult to specify range in similarity search. Previously proposed index methods perform well only in the specific distribution of data. In this paper, we propose an efficient searching technique for nearest neighbor object using PdR-Tree suggested to improve the search performance for high dimensional data such as multimedia data. Test results, which uses simulation data with various distribution as well as real data, demonstrate that PdR-Tree surpasses both the Pyramid-Technique and SPY-TEC in views of search performance.rformance.

• Journal of Preventive Medicine and Public Health
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• v.34 no.4
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• pp.363-371
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• 2001

Objectives : To assess the degree of quality improvement (QI) implementation and to identify its associated factors. Methods : A mailed questionnaire survey of the QI staffs at hospitals with 400 beds or more was conducted between September 15 and October 30, 2000. Of the 108 hospitals eligible for inclusion in our study, 79 participated, yielding a response rate of 73.1%. After excluding 12 hospitals that did not perform any QI activities, 117 responses from 67 hospitals were used in our analysis. The degree of QI implementation was measured using the Malcolm Baldrige National Quality Award Criteria (MBNQAC). Factors evaluated for association with the degree of QI implementation were cultural, technical, strategic, and structural factors of the hospitals. Results : The average 01 implementation score across the 7 dimensions of MBNQAC was 3.34 on a 5-point scale, with the highest score for the area of customer satisfaction (3.88) followed by information and analysis (3.59) and quality management (3.35). The results of regression analysis showed that hospitals with a ofter information system (p<0.05) and using scientific and systematic problem solving approach (p<0.01) tended to perform a higher degree of QI implementation. While statistically insignificant, positive associations were observed for the factors of group or developmental culture, the degree of employee empowerment, and the use of prospective strategy. Conclusions : It appears that the most important factors contributing to active implementation of QI in Korean hospitals were the use of scientific skills in decision making, and having a quality information system to produce precise and valid information.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.3
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• pp.81-88
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• 1996

Cluster analysis is based on partitioning a collection of data points into a number of clusters, where the data points in side a cluster have a certain degree of similarity and it is a fundamental process of data analysis. So, it has been playing an important role in solving many problems in pattern recognition and image processing. For these many clustering algorithms depending on distance criteria have been developed and fuzzy set theory has been introduced to reflect the description of real data, where boundaries might be fuzzy. If fuzzy cluster analysis is tomake a significant contribution to engineering applications, much more attention must be paid to fundamental questions of cluster validity problem which is how well it has identified the structure that is present in the data. Several validity functionals such as partition coefficient, claasification entropy and proportion exponent, have been used for measuring validity mathematically. But the issue of cluster validity involves complex aspects, it is difficult to measure it with one measuring function as the conventional study. In this paper, we propose four performance indices and the way to measure the quality of clustering formed by given learning strategy.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.71-78
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• 2019

The importance of social responsibility such as ethical management and social contribution activities is emphasized for the sustainable growth of companies. Although there is a great deal of research on corporate social responsibility due to the increase in social interest and expectation, most of them have been limited to research on general manufacturing industry. The purpose of this study is to analyze the effect of social responsibility activities on financial performance. In addition, we want to analyze the difference in the financial performance of companies with excellent social responsibility activities announced by the Institute of Economic Justice and others. The analysis period is from 2011 to 2016, and we analyze using the robust regression methodology which is relatively effective in solving the autocorrelation and this dispersion problem. First, it is proved that the higher the KEJI index, the more positive effect on financial performance. In addition, we found that there is a significant difference in the financial performance of companies with excellent social responsibility activities and those with other social responsibility activities. These results will have important implications for establishing a firm's financial strategy and will serve as useful information for the financial industry that is striving for sustainable management.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.21-30
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• 2021

Economic transformations have led to an increase in the role of creative assets and their central role in public life. Changes in creative activity have led to a change in the organization of the work of institutes engaged in the training of specialists, in particular teachers of labor education. Methods and approaches to training determine the development of creative industries, being the basis for models of professional training of future teachers of labor training. The purpose of an article was to develop a modern model of professional training of future teachers of labor training based on the concept of creative economy. The methodology is based on the concepts of holistic craft and creative economy. Based on the integration of pedagogical learning models "Craft as design and problem-solving", "Craft as skill and knowledge building", "Craft as product-making" and "Craft as self-expression" developed and experimentally confirmed the conceptual model of professional training of future teachers of labor training. The proposed model forms a practitioner with professional, technical, digital and creative skills who is able to transfer the experience to students. The training course "Creativity and creative thinking" has been developed. The model provided for the development of a course based on the strategy of developing professional creativity, flexibility, improvisation, openness, student activity, joint practice, student-oriented approach. The practical value implies the adaptation of the developed model of professional training of future teachers of labor education during the training of teachers in higher education, which is confirmed in the experiment.

• Journal of Information Technology Services
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• v.20 no.1
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• pp.67-79
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• 2021

The advent of the 4th Industrial Revolution is also causing many changes in defense operations. Defense reform and the fourth industrial revolution promoted smart defense innovation, and attempts are being made to incorporate cutting-edge science and technology into various fields such as weapons systems and defense operations. Education and training is one of the areas in which information and intelligence are urgently needed in the spirit of defense operations. Due to the nature of defense education and training, which aims to fight against the enemy, there is no emphasis on psychological training in the field rather than informatization, but in developed countries with various experiences of modern warfare, investment and vitalization of education and training are vital. Through this, efforts are being made to foster soldiers with problem-solving skills in uncertain battlefields. The informatization and intelligence of defense education and training is no longer a matter that can be delayed, and the innovation of education and training using cutting-edge science and technology can be said to be an age-old task to improve the results of education and training in the fourth industrial revolution. The purpose of this is because the application of related technologies is not the goal itself as the 4th Industrial Revolution arrives, but it has been made possible through the rapid advancement of science and technology that has made it difficult to realize education and training, even though it has long been desired. Ultimately, education and training data will be integrated and artificial intelligence-based intelligent learning systems will maximize the performance of education and training, thereby improving the combat readiness.