• Proceedings of the KSR Conference
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• 2005.05a
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• pp.1010-1016
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• 2005

Purpose of this research is considering activation way of stagnant railroad education. This research investigated domestic railroad education present condition and foreign countries' developed railroad college's education example by method of study. This research is going to produce railroad specialist who can achieve active and leading role base growth of railroad education and railroad industry development through link with resemblant railroad learning.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.261-268
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• 2021

After developing literacy education programs using coaching techniques, applying them to literacy learners, in order to see how they have an impact on improving learning achievement, we selected 13 senior literacy learners in U city and chose qualitative research method based on in-depth interviews, observation journals, and learning materials. Literature education programs using coaching techniques are a process-oriented model consisting of four stages of mind-opening, introducing positivity, strengthening learning competence and assistance, confidence and persistence. You can find the results as following. Firstly, communication between teachers and learners was expanded in the first stage, and secondly, self-directed learning ability was strengthened in the second stage by forming a positive mind. Thirdly, the results of utilizing the three-stage balanced literacy teaching method and interaction teaching method resulted in confidence in reading and writing, leading to an increase in self-efficacy. Fourthly, the fourth stage showed the results of improving learning achievement, which overcame the fear of learning with active praise and continuous encouragement and implied hope for higher courses. As a result of the above-mentioned research, I think literacy education programs using coaching techniques can be useful as an educational method for learners in the field of literacy education.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.1
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• pp.1-15
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• 2019

The purpose of this study is to develop ICT utilization learning materials for a chapter titled 'Environment Friendly Clothing and Reform of Clothing' in technology and home economics textbooks for Year 2 students in middle school. The research methods were selected from ten types of junior high school technology textbooks, which were revised in 2009, and mainly focused on items such as jeans, shirts, shirts, cardigans, and skirts, Using selected textiles and basic design t-shirts, five works were made using structural and decorative details. The results of this study are as follows. First, textile products shown in the chapter 'Environment Friendly Clothing and Reform of Clothing' are most commonly worn and found in daily life. With regard to a reuse method, structural changes to clothing are proposed. For example, cases relating to the changing of a neckline or the use of a shirt or a sleeve are presented. There are some decoration methods adapted in reuse; using ornaments, such as spangles and emblems, patchwork, shirring and the constucting of collages. Second, following the plan, 5 items are designed with T-shirts, shirts, cardigans and skirts. For the T-shirt design, other fabrics including organza and neoplan are used from design point of view, in addition to reused textile products. Detailed structural changes of necklines, sleeves and collars and detailed and the ornamentation method including shirring, smoking, patchwork and collages are used. Third, this study proposes 6 categories (profile, design planning, diagram, reused textile product, production method and order and pictures of T-shirts developed) under the title of 'T-shirt Made Out of Disposed Clothing', selecting a blog as active teaching and learning material as a part of the ICT utilization in educational settings.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.25-34
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• 2017

With the recent spread of smartphones and the introduction of web services, online users can access large-scale content regardless of time or place. However, users have had trouble finding the content they wanted among large-scale content. To solve this problem, user modeling and content recommendation system have been actively studied in various fields. However, in spite of active changes in senior groups according to the changes in information environment, research on user modeling and content recommendation system focused on senior groups are insufficient. In this paper, we propose a method of modeling smart senior based on their preference, and further develop a smart senior classification model using machine learning methods. As a result, we can not only grasp the preferences of smart seniors, but also develop a smart senior classification model, which is the foundation for the research of a recommendation system which will provide the activities and contents most suitable for senior groups.

• Journal of Gifted/Talented Education
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• v.19 no.1
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• pp.119-140
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• 2009

This paper examined its possibility and made its new definition by finding relevant bases in order to make a close inquiry into its Identity and direction at this point when cyber-based gifted education academy is established and operated again by its necessity And 4 models which can be used in special education for the gifted were developed making a link with special education for the gifted by collecting and re-classifying cyber educational methods developed by basic research as priority of the educational method which is considered to be the most urgent issue in practical cyber learning. It is a project-type cooperation education model, an information collection-type research education model, a community-type discussion education model, and a problem focus-type e-PBL education model. To apply developed leaching-learning models to reality, students at gifted education academy in Gyeonggi Cyber Gifted Province were imputed models in different ways respectively for 4 months. As a result of analysis and statistical data of activity level and satisfaction level of students who participated in learning activity, it appeared that high level of satisfaction and active activity level were induced compared to the previous method based on tasks. It is expected that this paper will provide the bases when each cyber-based gifted education academy plans operation plan later on, and it will provide proper methods when cyber guidance teachers plan class activities.

• Journal of the Korean School Mathematics Society
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• v.3 no.2
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• pp.69-82
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• 2000

Mathematics is the subject that requires high mental function such as the ability of logically thinking and investigating. Because of the reason there exists much greater difference in students' individual scholastic abilities in mathematics class than in other classes. Recently many schools organize students into two or three level-based mathematics classes according to each student's level to solve the problem. But in spite of its many merits the new system of class organization has some problems. The problem which is pointed out as the most serious thing frequently is that many teachers still use the same textbook and the same teaching method for all students, not considering student's level. Obviously it causes the reduction of students' interest and motivation. In this point of view, I tried to solve such a problem by development and application of level learning materials reconstructed text book according to students' abilities and levels through this research. As the result of the research to examine the changes of students' emotional factors such as the recognition, interest, and attitude which influence on improving self-educability in learning mathematics has occurred, the following conclusion comes out. 1. Through the mathematics class utilizing level learning materials reconstructed textbook, students come to recognize that level learning materials are more effective than uniformed contents of the same textbook and get more active learning attitude. 2 The application of level learning materials in a level-based class has contributed to increasing students' interest in mathematics. Furthermore it was also effective in the positive changes of students' emotional factors such as the recognition, interest, and attitude which influence on improving self-educability in learning mathematics.

• Smart Media Journal
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• v.10 no.1
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• pp.32-38
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• 2021

Image classification through deep learning on the image from photographs has been a very active research field for the past several years. In this paper, we propose a method of automatically discriminating stone images from domestic source through deep learning, which is to use Python's hash library to scan 300×300 pixel photo images of granites such as Hwangdeungseok, Goheungseok, and Pocheonseok, performing data preprocessing to create learning images by examining duplicate images for each stone, removing duplicate images with the same hash value as a result of the inspection, and deep learning by stone. In addition, to utilize VGGNet, the size of the images for each stone is resized to 224×224 pixels, learned in VGG16 where the ratio of training and verification data for learning is 80% versus 20%. After training of deep learning, the loss function graph and the accuracy graph were generated, and the prediction results of the deep learning model were output for the three kinds of stone images.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.444-454
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• 2022

The purpose of this study is to investigate the effects of writing academic reflection journals and feedback activity experiences in untact online classes for engineering students who have taken communication liberal arts classes, and to find out the effect of these learning strategies to promote students' learning motivation, to check whether it is useful for class participation and immersion. In order to find out the effect of class, pre- and post-tests on learning motivation were conducted, and the students' reflection journals and in-depth interviews were analyzed using the topic analysis method, which is one of the qualitative research methods. As a result of the study, it was found that the reflection journal and feedback activity had a significant effect on individual learning understanding, immersion, attitude, etc. The study is meaningful in that it was able to confirm students' active learning attitudes and positive teaching effects with appropriate learning strategies according to changes in the untact educational environment. Various teaching-learning strategies according to changes in the educational environment should be sought and applied in many ways.

• Journal of Korea Multimedia Society
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• v.18 no.11
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• pp.1261-1267
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• 2015

The problem of underwater target detection and classification has been attracted a substantial amount of attention and studied from many researchers for both military and non-military purposes. The difficulty is complicate due to various environmental conditions. In this paper, we study classifier ensemble methods for active sonar target classification to improve the classification performance. In general, classifier ensemble method is useful for classifiers whose variances relatively large such as decision trees and neural networks. Bagging, Random selection samples, Random subspace and Rotation forest are selected as classifier ensemble methods. Using the four ensemble methods based on 31 neural network classifiers, the classification tests were carried out and performances were compared.

• Journal of Institute of Control, Robotics and Systems
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• v.5 no.8
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• pp.932-940
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• 1999

In this paper, a new neural networks and neural network based sliding mode controller are proposed. The new neural networks are an mor self-recurrent neural networks which use a recursive least squares method for the fast on-line leammg. The error self-recurrent neural networks converge considerably last than the back-prollagation algorithm and have advantage oi bemg less affected by the poor initial weights and learning rate. The controller for suspension system is designed according to sliding mode technique based on new proposed neural networks. In order to adapt shding mode control mnethod, each frame dstance hetween ground and vehcle body is estimated md controller is designed according to estimated neural model. The neural networks based sliding mode controller approves good peiformance throllgh computer sirnulations.