• Journal of Korea Society of Industrial Information Systems
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• v.15 no.1
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• pp.109-114
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• 2010

In this paper, we developed the web content of statistical analysis using statistical package and Active Server Page (ASP). A statistical package is very difficult to learn and use for non-statisticians, however, non-statisticians want to do analyze the data without learning statistical packages such as SAS, S-plus, and R. Therefore, we developed the web based statistical analysis contents using S-plus which is the popular statistical package and ASP. In real application, we developed the web content for various statistical analyses such as exploratory data analysis, analysis of variance, and time series on the web using water quality data. The developed statistical analysis web content is very useful for non-statisticians such as public service person and researcher. Consequently, combining a web based contents with a statistical package, the users can access the site quickly and analyze data easily.

• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.65-72
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• 2016

In allowing visitors to manipulate objects or models with their hands, science museums can become informal education institutions. However, little research has been conducted analyzing the specific interactions of visitors at museums and the effects that specific characteristics of interactive exhibit have on visitors. This research classified exhibits according to the three characteristics: the presentation of concepts, interaction with exhibits and concept levels. Further, relationships among engagement behaviors, visitors'attraction to exhibits, and the holding power of exhibits were analyzed. Using the three characteristics, 55 exhibits were classified into five styles. The results suggest that intriguing content and novel interfaces, maximizing information on science and technology, should be developed for the educational purpose of encouraging visitors to engage in active learning with interactive exhibits. The results of this study provide useful data that planners, designers, and instructors of science museums can use to maximize visitors' participatory learning and interactions.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.60 no.4
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• pp.181-185
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• 2011

Due to the increasing of nonlinear loads such as converters and inverters connected to the electric power distribution system, and extensive application of harmonic generation sources with power electronic devices, disturbance of the electric power system and its influences on industries have been continuously increasing. Thus, it is difficult to construct accurate load model for active and reactive power in environments with harmonics. In this research, we develop current harmonics estimation method based on Extreme Learning Machine (ELM) with fast learning procedure for residential loads. Using data sets acquired from various residential loads, the proposed method has been intensively tested. As the experimental results, we confirm that the proposed method makes it possible to effective estimate current harmonics for various input voltage.

• Journal of the Korean School Mathematics Society
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• v.3 no.1
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• pp.59-67
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• 2000

This study has been done to help teach mathematics on the spot of education by providing the history of mathematics and illustrations concerning mathematics, which were rearranged for the level of the second grade students in highschool and intented to interest students in mathematics classes. The contents of teaching, according to each unit (Matrix, Sequence, Limit, Differentiation, Integration, Probability, Statistics) include the life of the representative mathematician, the historical background centered on episodes, questions linked with reality, questions making sensations in history and something for maxim in mathematics. If such contents are properly used, they are expected to be able to stimulate students' curiosity, and to be effective in improving students' learning ability in mathematics by causing them to show their active attitudes toward learning mathematics.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.235-238
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• 2019

In real world object detection is an active research topic for understanding different objects from images. There are different models presented in past and had significant results. In this paper we are presenting vehicle logo detection using previous object detection models such as You only look once (YOLO) and Faster Region-based CNN (F-RCNN). Both the front and rear view of the vehicles were used for training and testing the proposed method. Along with deep learning an image pre-processing algorithm called perspective transformation is proposed for all the test images. Using perspective transformation, the top view images were transformed into front view images. This algorithm has higher detection rate as compared to raw images. Furthermore, YOLO model has better result as compare to F-RCNN model.

• The Journal of Korean Academic Society of Nursing Education
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• v.9 no.2
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• pp.310-319
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• 2003

The purpose of this study was to determine what effect reflection on clinical practice experience had students as learners and care providers. Qualitative research method was used to study a group of four-year undergraduate nursing course. Content analysis was done using the classification method of Carper's four patterns of knowing. Results of the study indicated that the use of the reflective process of clinical debriefing and journaling was impact on the aspect of nursing science, moral component of knowledge in nursing, personal knowing in nursing and the art of nursing. Especially, students moved from a passive to a more active mode of learning. The most significant finding was that over time, reflective processes resulted in the emergence of the client as the central focus of care. It was suggested that reflection was an important learning tool in professional education and that the skills required for reflection need to be developed in professional courses.

• The Korean Journal of Health Service Management
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• v.11 no.4
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• pp.17-28
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• 2017

Objectives : This study analyzed job performance in local area general hospitals to look for measurable effects from educational training and/or organizational communication. Methods : For the purposes of this study, a survey was conducted of general hospital employees from 29 hospitals in Gwangju and Jeonnam. The survey period was August 22 - September 30, 2016, and 1,004 responses were used in the final analysis. Results : This study revealed that certain aspects of communication (upward,downward,vertical,orinformal) had significant effects on job satisfaction, learning transfer, and general performance. Conclusions : To improve job performance in general hospitals, employers must improve overall satisfaction by improving upon job training and internal communication. Specifically, training should be better connected to learning transfer and organizational design must encourage active communication between employees.

• Structural Monitoring and Maintenance
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• v.4 no.4
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• pp.381-396
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• 2017

Structural health monitoring (SHM) is a necessity for reliable and efficient functioning of engineering systems. Damage detection (DD) is a crucial component of any SHM system. Lamb waves are a popular means to DD owing to their sensitivity to small damages over a substantial length. This typically involves an active sensing paradigm in a pitch-catch setting, that involves two piezo-sensors, a transmitter and a receiver. In this paper, we propose a data-intensive DD approach for beam structures using high frequency signals acquired from beams in a pitch-catch setting. The key idea is to develop a statistical learning-based approach, that harnesses the inherent sparsity in the problem. The proposed approach performs damage detection, localization in beams. In addition, quantification is possible too with prior calibration. We demonstrate numerically that the proposed approach achieves 100% accuracy in detection and localization even with a signal to noise ratio of 25 dB.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.2
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• pp.239-243
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• 2003

Recently, there has been active research conducted on the intelligent agent in various fields. The results have been widely applied to intelligent user-friendly interfaces. In this system, we modeled, designed, and implemented an intelligent agent system that can be applied to stock and news. Some procedures such as login sequence to the web site, process to get stock information, setting stock in concern, intelligent news system module, news analysis module, and news learning module are modeled in detail and described in block diagram level. In our experiment on stock system, it showed quite a useful alarming screen avatar result and also on news system. it successfully rearranged the order of the news according to the user's preferences.

• English Language & Literature Teaching
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• v.7 no.1
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• pp.1-19
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• 2001

The current status of in-service teacher development shows that teachers' awareness can be enhanced through critical reflection. This study shows how an English teacher improved her own teaching situation through action research. It reports back the action research the teacher-researcher carried out in the EFL classroom setting. Aiming to improve the pupils' English speaking ability, the teacher introduced 'Task-based Language Teaching (TBLT)' to the English class. The teacher and the pupils took part in the evaluation process of learning and teaching. It was found that the new approach to teaching speaking helped the pupils improve speaking ability and take an active role in learning process. It is further suggested that teacher-initiated action research can be done in collaboration with colleagues, administrators and researchers.