• Journal of The Korean Association of Information Education
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• v.1 no.2
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• pp.35-44
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• 1997

Rapid progresses on computer and Internet technology fortell the changes in learning environments in our classrooms, which requires a timely preparation for the near future. The construction and utilization of databases that can be used in education, among other things, is the crucial subject which we need to address to. This paper discusses the various aspects of the construction of educational databases and proposes a way for effectively maintaining them.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.291-304
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• 2021

Updating a forest type map is essential for sustainable forest resource management and monitoring to cope with climate change and various environmental problems. According to the necessity of efficient and wide-area forestry remote sensing, CAS500-4 (Compact Advanced Satellite 500-4; The agriculture and forestry satellite) project has been confirmed and scheduled for launch in 2023. Before launching and utilizing CAS500-4, this study aimed to pre-evaluation the possibility of satellite-based tree species classification using RapidEye, which has similar specifications to the CAS500-4. In this study, the study area was the Chuncheon forest management complex, Gangwon-do. The spectral information was extracted from the growing season image. And the GLCM texture information was derived from the growing and non-growing seasons NIR bands. Both information were used to classification with random forest machine learning method. In this study, tree species were classified into nine classes to the coniferous tree (Korean red pine, Korean pine, Japanese larch), broad-leaved trees (Mongolian oak, Oriental cork oak, East Asian white birch, Korean Castanea, and other broad-leaved trees), and mixed forest. Finally, the classification accuracy was calculated by comparing the forest type map and classification results. As a result, the accuracy was 39.41% when only spectral information was used and 69.29% when both spectral information and texture information was used. For future study, the applicability of the CAS500-4 will be improved by substituting additional variables that more effectively reflect vegetation's ecological characteristics.

• Journal of The Korean Association of Information Education
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• v.26 no.2
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• pp.129-140
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• 2022

Our society is undergoing rapid changes due to COVID-19, and in particular, online learning using digital technology is being tried in various forms in the educational field. A change has occurred. However, the limitations of distance learning, such as reduced learning immersion in non-face-to-face educational situations, lack of interaction between teachers and learners, and lower basic academic ability, are constantly being raised, and an appropriate educational strategy is needed to solve these problems. This study focused on the concept of 'Metaverse' based on the interaction between the virtual world and the real world, and tried to verify the effectiveness of educational activities based on it. In detail, we propose an educational framework for realizing flipped learning in the Metaverse Virtual Classroom, and a frame developed by measuring the learning immersion of a single group with a teaching/learning program developed based on this. The effectiveness of the work was verified. When the metaverse platform-based flip learning framework and education program proposed in this study were applied, it was confirmed that learners' immersion in learning was improved.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.157-164
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• 2022

This study attempted to understand the mediating effect of learning time in the effect of academic burnout on self-esteem of middle school students. To this end, a survey of 1,045 middle school students in Gyeongsangnam-do was conducted on academic burnout, learning time, and self-esteem. It was analyzed in four ways through questionnaire responses. First, as a result of analyzing the differences according to the collective characteristics of academic burnout, learning time, and self-esteem, there was no difference between groups, and self-esteem was significantly different by gender and grade. Second, as a result of correlation analysis, academic burnout and learning time showed a negative correlation with self-esteem, and learning time and self-esteem showed a positive correlation. Third, as a result of regression analysis, all learning times were partially mediated in the effect of academic burnout on self-esteem. This not only directly affects the self-esteem of middle school students, but also indirectly through learning time. Fourth, in the analysis by gender, it was confirmed that male students had no statistically significant effect on self-esteem, but female students had a significant statistical effect on self-esteem, so only female students had a partial mediating effect. As a result of the analysis by grade, the effect of learning time on self-esteem was significant in the 1st and 2nd graders of middle school, but the effect of learning time on self-esteem was not significant in the 3rd graders of middle school. Through the survey of this study, it was suggested that education and counseling should be conducted in the middle school period, which is a rapid growth period, considering that academic burnout has a different effect on learning time and self-esteem by grade as well as gender approach.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.3
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• pp.79-85
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• 2001

We obtain a solution of inverse kinematic of 3 axis manipulator by using a self-organizing neral network(SONN) with a fuzzy compensator. The self-organizing neural network using the gaussian potential function as the activation function has one hidden layer in the first learning time. The network obtains the optimal number of node by increasing the number of hidden layer node through the learning, and the fuzzy compensator has the optimal loaming rate of neutral network. In this results, we can confirmed that the learning rate is improved and the rapid convergence to the steady-state.

• Journal of the Korean Society for information Management
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• v.19 no.1
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• pp.5-22
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• 2002

Users usually search for the required information via search engines which contain locations of the information. However. as the amount of data gets large, the result of the search is often not the information that users actually want. In this paper a web guide is proposed in order to resolve this problem. The web guide uses case-based learning method which stores and utilizes cases based on the keywords of user's action and agent's visit. The proposed agent system learns the user's visiting actions following the input of the data to be searched, and then helps rapid searches of the data wanted.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2606-2611
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• 2003

Comprehensive study on the control system design for a RTP process has been conducted. The purpose of the control system is to maintain maximum temperature uniformity across the silicon wafer achieving precise tracking for various reference trajectories. The study has been carried out in two stages: thermal balance modeling on the basis of a semi-empirical radiation model, and optimal iterative learning controller design on the basis of a linear state space model. First, we found through steady state radiation modeling that the fourth power of wafer temperatures, lamp powers, and the fourth power of chamber wall temperature are related by an emissivity-independent linear equation. Next, for control of the MIMO system, a state space modeland LQG-based two-stage batch control technique was derived and employed to reduce the heavy computational demand in the original two-stage batch control technique. By accommodating the first result, a linear state space model for the controller design was identified between the lamp powers and the fourth power of wafer temperatures as inputs and outputs, respectively. The control system was applied to an experimental RTP equipment. As a consequence, great uniformity improvement could be attained over the entire time horizon compared to the original multi-loop PID control. In addition, controller implementation was standardized and facilitated by completely eliminating the tedious and lengthy control tuning trial.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.1-6
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• 2012

This study is for using applications on smart devices at school class which designed by professor himself due to nonexistent of applications which related to textbook or course work even though fast developing smart devices and plenty of educational applications are in rapid ubiquitous environment. That is reason to make a learning environments of study course work anywhere at anytime and also make smooth communication between professor and learner with the smart devices advantages of being free of location and time. Also develop the application with the tools which the computer beginner can handle easily and quickly without contracting the work to commercial firms, it will lead to save money and time, be easily updated and modified from place of study, and increase the effectiveness and efficiency of study.

• The Journal of Korean Association of Computer Education
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• v.5 no.3
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• pp.69-77
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• 2002

It has been important of a web programming education with the rapid development of the internet. The learning system for the web programming education needs that develops web programming and can check the results on the web. In this paper. I suggested the learning system that can confirm the editable script result on the web client-side languages as well as server-side languages. The reference scripts that refer the web elements to study the web language make a database with an hierarchical structure. The reference script database enhances the utility of the script as managing the database system. The reference scripts can verify the results with the editable state that the structure of the web documents is altered and the elements, attributes, attributes's values of web languages is changed. The reference script tests can ascertain the adaption of it with the frame test and the window test.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.147-155
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• 2016

According to rapid development of technology, web text is growing explosively and attracting many fields as substitution for survey. The user of Facebook is reaching up to 113 million people per month, Twitter is used in various institution or company as a behavioral analysis tool. However, many research has focused on meaning of the text itself. And there is a lack of study for text's creation subject. Therefore, this research consists of sex/age text classification with by using 20,187 Facebook users' posts that reveal the sex and age of the writer. This research utilized Convolution Neural Networks, a type of deep learning algorithms which came into the spotlight as a recent image classifier in web text analyzing. The following result assured with 92% of accuracy for possibility as a text classifier. Also, this research was minimizing the Korean morpheme analysis and it was conducted using a Korean web text to Authorship Attribution. Based on these feature, this study can develop users' multiple capacity such as web text management information resource for worker, non-grammatical analyzing system for researchers. Thus, this study proposes a new method for web text analysis.