• 한국수학교육학회지시리즈A:수학교육
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• 제44권1호
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• pp.1-14
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• 2005

This study analyzed the differences in the contents as well as in the methods of development and presentation of learning contents in Korean and German mathematics textbooks for middle school students. For the research we investigated only the area of geometry, and in particular this study performed in-depth analysis concerning 4 subjects; namely congruences of triangles, special points in a triangle, similarity of figures and the theorem of Pythagoras.

• Journal of Information Technology Applications and Management
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• 제24권4호
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• pp.57-69
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• 2017

Due to the development of technology even in learning and education area, many studies have begun to make a new attempts to research by using SNS, breaking away from traditional learning methods. However, the limitations of these studies are restricted only to the use of wireless Internet and writing on Web sites. This study aims to conduct a research on English learning activities that utilize various technologies such as Bigdata, Facebook, Social Network Services (SNS) and English applications. In addition, this study looks into how these modern technologies can be integrated in the classrooms and which activities can be applied in the English classroom. This research is to suggest effective English learning methods through a thorough investigation on the effectivity of various technologies based on the Web 2.0 such as Flickr, blogs, MySpace, and online discussion board within the context of the English learning. To verify the effect of the study, the subjects are divided into experimental and control group. The experiment is proceeded with pre- and post-test. The experimental group is designed to verify the effects using SNS tools such as Facebook, Bigdata, and Online Massive Learning. A survey is conducted to determine the preference of utilizing social networking sites and to analyze the effects in class. The result is that the average scores for experimental group have improved more than the average of control group. The comparison of pre and post-test of the experimental group shows that the significance of the higher and median group was statistically significant at the p<0.01.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.348-350
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• 2021

딥러닝을 이용하여 미세먼지 농도를 예측함에 있어 81㎍/m³ 이상의 고농도에 대한 특성이 예측 모델에 잘 반영되지 않는 문제가 있다. 본 논문에서는 딥러닝 알고리즘에 따라 고농도 영역에서의 미세먼지에 대한 특성 반영에 대한 결과를 확인하기 위해 예측 성능을 통한 비교를 진행하였다. 성능 평가 결과, 전반적으로 비슷한 수준의 결과를 보였으나, AQI 기준 "매우 나쁨"의 농도에서 RNN 모델이 다른 모델에 비해 보다 높은 정확도를 보였다. 이는 RNN 알고리즘이 DNN, LSTM 알고리즘보다 고농도에 대한 특성 반영이 잘 이루어진 결과를 확인하였다.

• 한국해양공학회지
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• 제38권1호
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• pp.18-29
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• 2024

Waves are a complex phenomenon in marine and coastal areas, and accurate wave prediction is essential for the safety and resource management of ships at sea. In this study, three types of machine learning techniques specialized in nonlinear data processing were used to predict the waves of Korea waters. An optimized algorithm for each area is presented for performance evaluation and comparison. The optimal parameters were determined by varying the window size, and the performance was evaluated by comparing the mean absolute error (MAE). All the models showed good results when the window size was 4 or 7 d, with the gated recurrent unit (GRU) performing well in all waters. The MAE results were within 0.161 m to 0.051 m for significant wave heights and 0.491 s to 0.272 s for periods. In addition, the GRU showed higher prediction accuracy for certain data with waves greater than 3 m or 8 s, which is likely due to the number of training parameters. When conducting marine and offshore research at new locations, the results presented in this study can help ensure safety and improve work efficiency. If additional wave-related data are obtained, more accurate wave predictions will be possible.

• 한국인터넷방송통신학회논문지
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• 제20권1호
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• pp.171-176
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• 2020

강화 학습은 인공지능 에이전트가 비디오 게임을 학습할 때 가장 효과적으로 사용되는 방법이다. 강화 학습을 위해 여지껏 많은 알고리즘들이 제시되어 왔지만 알고리즘마다 적용되는 분야에 따라 다른 성능을 보여주었다. 본 논문은 최근 강화 학습에서 주로 사용되는 알고리즘들의 성능이 2D 레이싱 게임에서 어떻게 달라지는지 비교 평가한다. 이를 위해 평가에서 사용할 성능 메트릭을 정의하고 각 알고리즘에 따른 메트릭의 값을 그래프로 비교하였다. 그 결과 ACER (Actor Critic with Experience Replay)를 사용할 경우 게임의 보상이 다른 알고리즘보다 평균적으로 높은 것을 알 수 있었고, 보상 값이 가장 낮은 알고리즘과의 차이는 157%였다.

• 4차산업연구
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• 제3권2호
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• pp.19-26
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• 2023

Purpose - This study is to suggest a model of field education in the Assistant Nurses curriculum using edutech and to produce competent Assistant Nurses students reflecting the requirements of various medical fields. This model expects to upgrade the quality of the field education and to provide an Assistant Nurses school with standardized field education tools using edutech. Research design, data, and methodology - Throughout the review of the related thesis, most of them were studied on Assistant Nurses' job satisfaction, conflicts with other jobs in hospitals, and Assistant Nurses' job area in nursing hospitals. To study the current field education for Assistant Nurses students in hospitals, it used interviewing the heads of the hospital nursing department and reflecting on their interview results to develop the model of field education. Result - The field education model with edutech is processed with flipped class. Each area in flipped class is designed by applications and webs which is friendly to both teachers and students. Conclusion - This study presents a simple and easy process of field education using edutech. In the next study, it needs to find the precious results of comparison between students educated by the new model in field education in the Assistant Nurses' curriculum or not.

• 대한수학교육학회지:학교수학
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• 제4권2호
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• pp.283-296
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• 2002

In this study we tried to find the method of using the tangrams and the mosaic puzzles together for learning the elementary geometry in the Korean primary schools. The tangram and the mosaic puzzle activity-panels were developed and the activity-cards for them also were designed. The criteria to be used for the analyses of contents of the activity-cards were developed. We surveyed and analyzed the students' responses, A previous research had insisted that solely using the tangrams were not useful in learning about an obtuse-angled triangle in the elementary geometry (Welchman, 1999), but the combinative uses of the tangrams and the mosaic puzzles were found to extend the limits of the previous study in investigating the figures of the plain diagrams. Actually, the tangrams and the mosaic puzzles helped the students to learn the concepts of several elements of the plain diagrams such as 'angles', 'sides', and 'angular points', with students'operational comparison of the diagrams developed with them. They also provided useful clues in learning the relationship between the 'length' and the 'area' of the Plain diagrams. The students participated in the class with much activities, using the operational learning materials. They also comprehended the concepts and the principles of the elementary geometry more thoroughly, expressing their ideas in spoken or written languages through interactive communication. In conclusion, the tangram and mosaic puzzles can be used for learning the elementary geometry of the primary school level as motivative learning materials, helping students enhance diverse mathematical thinking and discover mathematical principles.

• 동의신경정신과학회지
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• 제14권1호
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• pp.27-44
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• 2003

Objective : The aim of this study was to assess protective effects of Whangryonhaedoktang on the chronic mild stress (CMS) animal model of depression. Method : Male Sprague-Dawley rats were used for this study. The subjects were divided into 3 groups (CMS-drug group: Whangryonhaedoktang was administered during CMS procedure, CMS-vehicle: water was administered during CMS procedure, normal control group: without CMS procedure). After 4 weeks of CMS procedure, Morris water maze (MWM) test and open field test were executed and tyrosine hydroxylase (TH) was measured in ventral tegmental area (VTA) and locus coeruleus (LC) of rat brain. Result : 1. CMS procedure induced defects of spatial learning in early period of MWM test. 2. CMS Whangryonhaedoktang group showed shorter escape latency in comparison with CMS control group in MWM test on the first day of the test. 3. CMS Whangryonhaedoktang group and CMS control group showed no significant difference of activities and emotional behaviors in comparison with normal control group in open field test. 4. CMS Whangryonhaedoktang group showed significant inhibition effects of TH expression in VTA and LC areas in comparison with CMS control group. Conclusion : These results suggest that Whangryonhaedoktang may have inhibition effects to early period defects of spatial learning and protective antidepressant effects in CMS model rats.

• 교육시설 논문지
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• 제22권3호
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• pp.3-11
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• 2015

Under the establishment and operating regulations of school presented only minimum standard for the founding of the school. Therefore, It is intended to suggest the reasonable space standard of the school facility, through comparison & analysis of facility standard in each city and provincial education office. Especially, The facilities standard of Chungcheongbuk-do Office Of Education has been exceeded standardization of architectural space which is proposed the Ministry of Education, and they has made the various learning space reflected creative ideas by designing all of the new school competition since 2000. In order to deal with reacting the changing method of studying like as the examples of Middle & High school in Chungcheongbuk-do, they need to set aside the enough required area for a head of students and the common space which is more than 40% in the total area according to the various learning space, securing the supporting facilities, and break & movement of the students. Moreover, Each of the city and provincial education offices are needed to establish the standardization of proper area for space organization of the planned school throughout upcoming competition.

• Journal of Multimedia Information System
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• 제8권2호
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• pp.79-84
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• 2021

Detecting brain tumors of different sizes is a challenging task. This study aimed to identify brain tumors using detection algorithms. Most studies in this area use segmentation; however, we utilized detection owing to its advantages. Data were obtained from 64 patients and 11,200 MR images. The deep learning model used was RetinaNet, which is based on ResNet152. The model learned three different types of pre-processing images: normal, general histogram equalization, and contrast-limited adaptive histogram equalization (CLAHE). The three types of images were compared to determine the pre-processing technique that exhibits the best performance in the deep learning algorithms. During pre-processing, we converted the MR images from DICOM to JPG format. Additionally, we regulated the window level and width. The model compared the pre-processed images to determine which images showed adequate performance; CLAHE showed the best performance, with a sensitivity of 81.79%. The RetinaNet model for detecting brain tumors through deep learning algorithms demonstrated satisfactory performance in finding lesions. In future, we plan to develop a new model for improving the detection performance using well-processed data. This study lays the groundwork for future detection technologies that can help doctors find lesions more easily in clinical tasks.