• Title/Summary/Keyword: Convergence Learning

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A Effective LMS Model Using Sensing System (센싱기술을 이용한 효과적인 LMS 모델에 관한 연구)

  • Kim, Seok-Soo;Ju, Min-Seong
    • Convergence Security Journal
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    • v.5 no.4
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    • pp.33-40
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    • 2005
  • As e-learning studying is activated, learner's requirement increased. Therefore, need correct e-learning model augmented requirement of learner and new ubiquitous surrounding. In this treatise when, proposed to supplement studying contents relationship conversion service and cooperation studying service function to LMS that analyze existing e-learning model's limitation for ubiquitous environment e-learning model that can study regardless of, ubiquitously some contents and do based on SCORM ubiquitous-network and next generation sensor technology etc. Learning form conversion service senses a learner's surrounding situations and recognize his/her body condition using smart sensor technology and provides the learner with contents in the optimal form. Using sensing projects like Orestia and SOB, users can more effective collaborative learning service.

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A Study of Smart Convergence Design of English Vocabulary Learning Contents Applying the Periodic Repetitive Method (주기적 반복법을 적용한 영단어 학습콘텐츠 스마트 융합 설계 연구)

  • Kim, Young-Sang
    • Journal of the Korea Convergence Society
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    • v.7 no.4
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    • pp.133-140
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    • 2016
  • This paper suggests designing how to acquire English vocabularies on the smart devices based on the research that a ground-breaking English Vocabulary Learning Contents needs developing. The method makes it possible to develop the contents which helps the learners to master English vocabularies effectively on the smart phone. The core idea of this paper is as in the following: 1) English learners learn 30 vocabularies for three minutes 10 times (one is for a new learning and the other nine ones are for reviews about the first learning) a day. 2) Considering Ebbinghaus Forgetting Curve, the reflection study proposes to provide the learners with three times' reviews: one day, 10days, and 30days later from which they learn the first 30 vocabularies. This contents is mainly made up of 5 developing sections (1)to generate App ID, (2)to access App, (3)to set up Alarm, (4)to process Word learning, and (5)to monitor the result of learning. This proposed idea is optimized to enhance the memory by Ebbinghaus Periodic Repetitive Method, which makes the learners satisfied with their English vocabulary learning.

The Effect of Convergence Action Learning techniques in Simulation Class (융합 액션러닝기법을 적용한 시뮬레이션 교육의 효과)

  • Park, Eun-Hee;Kim, Hye-Suk;Kim, Ja-Ok
    • Journal of the Korea Convergence Society
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    • v.6 no.5
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    • pp.241-248
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    • 2015
  • Nursing clinical practice, especially because it is required to reproduce this fusion education is very urgent. This Study was done to examine the effect of action learning techniques in simulation class. The study was designed using a nonequivalent control group pretest-posttest design. The participants consisted of control group 92, experimental group 92. The data analyzed using SPSS 18.0 program. Professional self-concept are higher than in the control group were measured.(t=-5.118, p=>.001). communication competence and self-directed learning capability of experimental group increased significantly from those control group. This result means that can help to significantly improve the professional nursing students learning techniques to simulate the application of an action class. In other words, if the act of creative training techniques such as future action learning hands-on training to be a big help.

An Analysis on Application Status of Standard Contract on the e-Learning Content Development Project in Era of Convergence (융합시대의 이러닝 콘텐츠 개발용역의 표준계약서 적용 실태 분석)

  • Lee, Joo-Yeoun;Noh, Kyoo-Sung
    • Journal of Digital Convergence
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    • v.13 no.3
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    • pp.11-18
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    • 2015
  • After entering a convergence era, South Korea Government has enacted and announced the Standard Contract on the e-Learning Content Development Project, a year and eight months has passed. Nevertheless, there has been continued still the unjust and unreasonable contract practices issues raised by project owner in the e-Learning industry. This study investigated application status of the Standard Contract via FGI and questionnaires and suggested its improvement alternative. This study analyzed that the Standard Contract has not taken root at all in ordering of the e-Learning content development project and not reaped the effect. This study presented alternatives such as mandatory application of the Standard Contract, education and outreach, introduction of the monitoring system, certification system implementation, granting of additional points in the evaluation of agencies and CEO and etc. to that standard contract is settled as the government's intentions and objectives in the e-Learning industry field.

The Convergence Effects of Oral Health Education Class Applying Action Learning on Communication Ability and Problem-Solving Ability (액션러닝을 활용한 구강보건교육학 수업이 의사소통능력과 문제해결능력에 미치는 융합적 학습효과)

  • Lee, Hye-Jin;Jang, Kyeung-Ae
    • Journal of Convergence for Information Technology
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    • v.9 no.11
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    • pp.212-217
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    • 2019
  • This study is a convergence study attempted to understand the learning effects of oral health education class applying action learning on the communication ability and problem-solving ability in dental hygiene students. The subjects of this study were 37 students in the third year of dental hygiene department. As a result, the learning effects of oral health education class applying action learning on the communication ability(p<0.001) and problem-solving ability(p<0.001) showed positive changes in the pre and post comparison. The changes in the scores of sub-dimensions of the communication ability and problem-solving ability were also significant in the pre and post comparison. As the class applying action learning is effective in improving the learner's communication ability and problem-solving ability, it should be utilized as the leaner participation-oriented teaching method for design and operation of dental hygiene education.

Classification of Raccoon dog and Raccoon with Transfer Learning and Data Augmentation (전이 학습과 데이터 증강을 이용한 너구리와 라쿤 분류)

  • Dong-Min Park;Yeong-Seok Jo;Seokwon Yeom
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.1
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    • pp.34-41
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    • 2023
  • In recent years, as the range of human activities has increased, the introduction of alien species has become frequent. Among them, raccoons have been designated as harmful animals since 2020. Raccoons are similar in size and shape to raccoon dogs, so they generally need to be distinguished in capturing them. To solve this problem, we use VGG19, ResNet152V2, InceptionV3, InceptionResNet and NASNet, which are CNN deep learning models specialized for image classification. The parameters to be used for learning are pre-trained with a large amount of data, ImageNet. In order to classify the raccoon and raccoon dog datasets as outward features of animals, the image was converted to grayscale and brightness was normalized. Augmentation methods were applied using left and right inversion, rotation, scaling, and shift to create sufficient data for transfer learning. The FCL consists of 1 layer for the non-augmented dataset while 4 layers for the augmented dataset. Comparing the accuracy of various augmented datasets, the performance increased as more augmentation methods were applied.

The Development and Application of Elementary Convergence Teaching and Learning Strategy Using the Science Visual Media (과학 영상매체를 활용한 초등 융합형 교수학습 전략 개발 및 적용)

  • Kwon, Nanjoo
    • Journal of Science Education
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    • v.38 no.1
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    • pp.29-40
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    • 2014
  • The new paradigm of the 21st Century science education explores a wide range of possibilities that can foster students' interest toward science and creative convergence thinking. The purpose of this study was to utilize science visual media that can improve students' scientific creativity and artistic sensibility. Curriculum reorganization can be one solution for the primary convergence science teaching and learning strategies using science visual media. Through a new and exciting experiment to a various science visual media such as science picture, TV film, movie, UCC, etc., we hope this teaching and learning strategy can increase the students' scientific interest and attitude.

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Facial image visualization using voice Big Data (Big Data를 활용한 얼굴 이미지 시각화 연구)

  • Kwak, Dong-Ryul;Kim, Min-Cheol;Kim, Chang-Soo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.634-636
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    • 2018
  • 최근 들어 Big Data를 활용한 기술들이 많이 개발되고 있다. 본 연구에서는 Machine Learning과 Deep Learning을 이용하여 음성 Big Data를 활용한 이미지 시각화를 통해 보이스 피싱 등 여러 범죄에 도움이 되게 하고 그 외의 음성과 얼굴 매칭을 통한 새로운 보안시스템 및 다양한 시너지 효과들을 기대하는 서비스를 기술한다.

Tuning Learning Rate in Neural Network Using Fuzzy Model (퍼지 모델을 이용한 신경망의 학습률 조정)

  • 라혁주;서재용;김성주;전홍태
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1239-1242
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    • 2003
  • The neural networks are a famous model to learn the nonlinear function or nonlinear system. The main point of neural network is that the difference actual output from desired output is used to update weights. Usually, the gradient descent method is used for the learning process. On training process, if learning rate is too large, neural networks hardly guarantee convergence of neural networks. On the other hand, if learning rate is too small, the training spends much time. Therefore, one major problem in use of neural networks are to decrease the teaming time while neural networks are guaranteed convergence. In this paper, we suggest the model of fuzzy logic to neural networks to calibrate learning rate. This method is to tune learning rate dynamically according to error and demonstrates the optimization of training.

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Control of Crane System Using Fuzzy Learning Method (퍼지학습법을 이용한 크레인 제어)

  • Noh, Sang-Hyun;Lim, Yoon-Kyu
    • Journal of the Korean Society of Industry Convergence
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    • v.2 no.1
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    • pp.61-67
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    • 1999
  • An active control for the swing of crane systems is very important for increasing the productivity. This article introduces the control for the position and the swing of a crane using the fuzzy learning method. Because the crane is a multi-variable system, learning is done to control both position and swing of the crane. Also the fuzzy control rules are separately acquired with the loading and unloading situation of the crane for more accurate control. And We designed controller by fuzzy learning method, and then compare fuzzy learning method with LQR. The result of simulations shows that the crane is controlled better than LQR for a very large swing angle of 1 radian within nearly one cycle.

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