• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.219-227
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• 2020

It is expected that Korea will be entering with super aged society with its rapid changing to aging society compare to other developed countries. Such phenomenon is recognized from a long time ago and government has enacted Elderly Long Term Convalescence Insurance Regulation back in 1999. However, different from its actual purpose, there are many problems and improvements to be made, leading to legislative revision for several times. Still, it is left with many issues. This is one example showing there has been a continuous problem with elderly long term convalescence insurance system. Even this system in Germany which have started 4 years before us is to continuously revising regulation by raising issues to make strong structure for elderly welfare and long term convalescence, aiming to enhance life of elderly people by providing detailed standard for convalescence. Elderly related legal systematization may not enhance their welfare service or daily life right away. However, if details in regulation and its theory is systematically arranged, this will greatly reduce administrative confusion as well as increasing understanding and use of this system for the nation.

• Education of Primary School Mathematics
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• v.20 no.3
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• pp.225-235
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• 2017

The study in this paper considers how elementary school students' interest in mathematics and STEAM literacy could be promoted by conjoining the learning of mathematics with the learning of drone topics. Survey instrument was developed to measure student attitudes toward mathematics and science subjects and to evaluate student beliefs on learning mathematics embedded in science topics. Data were collected from elementary school students by administering pre- and post-tests: students were intervened with examples of math problems embedded in certain science contexts. The findings indicate that elementary school students' experience of solving mathematics problems embedded in science contexts positively affects the promotion of their attitudes toward, beliefs on science subjects and science and engineering career path selection. We hope that the mathematics program using the drone will be used in the classroom for STEAM.

• Journal of the Korean School Mathematics Society
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• v.20 no.4
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• pp.369-385
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• 2017

This study is to figure out the activity and disposition of gifted students with face plot in exploratory data analysis at middle school mathematics class. This study has begun on the basis of the doing mathematics at multivariate analysis beyond one variable and two variables. Gifted students were developed the good learning habits theirselves. According to this result, Many gifted students have an interesting experience at data analysis with Face Plot. And they felt the useful methods of creative thinking about graphics with doing mathematics at mathematical tasks. I think that teachers need to learn the visualization methods and to make and to develop the STEAM education tasks connected real life. It should be effective enough to change their attitudes toward teaching and learning at exploratory data analysis.

• Journal of the Korean Chemical Society
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• v.47 no.5
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• pp.505-518
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• 2003

A survey has been administered to investigate the adequacy of the chemistry teacher employment examination. The questionnaires were sent to the professors of the fourteen departments of chemistry education all over the nation and the responses were collected from the thirteen departments. From the analyses of the responses, the problems were pointed out and the suggestions were made for the improvement of the examination to recruit excellent chemistry teachers. Reconsideration of the ratio of subject matter education to subject contents, adjustment of format and number of questions, maintaining of proper degree of difficulty and discrimination of items, reconsideration of relevancy to practical education, raising the number of committee for the examination, the reflection of the 7th science curriculum, and opening to the public of the information related to the teacher employment examination were discussed.

• Journal of the Korean School Mathematics Society
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• v.20 no.3
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• pp.239-254
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• 2017

The study in this paper considers how high school students' attitudes toward and interest in mathematics could be promoted by conjoining the learning of ma thematics with the learning of social science topics. Survey instrument was dev eloped to measure student attitudes toward mathematics and social science subje cts and to evaluate student beliefs on learning mathematics embedded in social science topics. Data were collected from high school students in Korea by admi nistering pre- and post-tests: students were intervened with examples of math problems embedded in certain social contexts. The findings indicate that high sc hool students' experience of solving mathematics problems embedded in social c ontexts positively affects the promotion of their attitudes toward and beliefs on both mathematics and social science subjects.

• The KIPS Transactions:PartB
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• v.15B no.2
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• pp.87-94
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• 2008

In this paper, we propose a new vision-based fire detection method for a real-life application. Most previous vision-based methods using color information and temporal variation of pixel produce frequent false alarms because they used a lot of heuristic features. Furthermore there is also computation delay for accurate fire detection. To overcome these problems, we first detected candidated fire regions by using background modeling and color model of fire. Then we made probabilistic models of fire by using a fact that fire pixel values of consecutive frames are changed constantly and applied them to a Bayesian Network. In this paper we used two level Bayesian network, which contains the intermediate nodes and uses four skewnesses for evidence at each node. Skewness of R normalized with intensity and skewnesses of three high frequency components obtained through wavelet transform. The proposed system has been successfully applied to many fire detection tasks in real world environment and distinguishes fire from moving objects having fire color.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.604-614
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• 2020

Contemporary Christian educators emphasize that the student has to become not a passive beneficiaries of knowledge, but an active subject for self-directed learner to pursue a Bible training. In addition, learning environments need to be converted into a learning place in which students can learn the principles of the Word, taste its meaning, and apply them into the scene in their lives. This study is to investigate new possibilities of self-directed volunteer camp, developing it as an alternative program for summer retreat and evaluating its effectiveness. According to qualitative research findings. self-directed volunteer camp provide for the youth students to develop their leadership as well as their faith. Especially, the higher effect of self-directed volunteer camp was found on program satisfaction, promoting cooperation through real problem-solving, and internalizing of the faith. Therefore, self-directed volunteer camp for vacation Bible church programs can be expected as an alternative teaching method for church education in the 21st century.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.7
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• pp.816-822
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• 2016

Content-Based image retrieval is a method to search by image features such as local color, texture, and other image content information, which is different from conventional tag or labeled text-based searching. In real life data, the number of images having tags or labels is relatively small, so it is hard to search the relevant images with text-based approach. Existing image search method only based on image feature similarity has limited performance and does not ensure that the results are what the user expected. In this study, we propose and validate a machine learning based approach to improve the performance of the image search engine. We note that when users search relevant images with a query image, they would expect the retrieved images belong to the same category as that of the query. Image classification method is combined with the traditional image feature similarity method. The proposed method is extensively validated on a public PASCAL VOC dataset consisting of 11,530 images from 20 categories.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.671-678
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• 2017

Recent advances in Internet of Things (IoT) encourage us to use IoT devices in daily living areas. However, as IoT devices are being ubiquitously used, concerns onsecurity and privacy of IoT devices are getting grown. Key management is an important and fundamental task to provide security services. For better security, we should restrict reusing a same key in sequential authentication sessions, but it is difficult to manually update and memorize keys. In this paper, we propose a hardware security module(HSM) for automated key management in IoT devices. Our HSM is attached to an IoT device and communicates with the device. It provides an automated, secure key update process without any user intervention. The secure keys provided by our HSM can be used in the user and device authentications for any internet services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.219-225
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• 2019

There is a problem with the existing method of selecting the difficulty levels of Hanja characters. Some Hanja characters selected by the existing methods are different from Sino-Korean words used in real life and it is impossible to know how many times the Hanja characters are used. To solve this problem, we measure the difficulty of Hanja characters using the multiple regression analysis with the frequency as the features. Based on the elementary textbooks, FWS and FHU are counted. A questionnaire is written using the two frequencies and stroke together to answer the appropriate timing of learning the Hanja characters and use them as target variables for regression. Use stepwise regression to select the appropriate features and perform multiple linear regression. The R² score of the model was 0.1105 and the RMSE was 0.1105.