• Journal of Digital Contents Society
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• v.16 no.3
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• pp.407-415
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• 2015

Offline English Zone refers to a physical environment in which the learners can check the results while they practice speaking and listening in English, and look up the vocabulary and information on their own. However, offline English zone is inevitably dependent on limited and artificial environment and its operation is greatly limited in having to provide an environment in which the students can spontaneously experience role play in an artificial space set in a small-scale English village consisting of shopping, restaurant, and hospital zones. The purpose of this study is to analyze the problems of the environmental restrictions in educational methodology utilizing offline English zone programs. Moreover, based on the ubiquitous concept. It is to provide a strategy for utilizing online English zone programs which utilize multimedia tools, wireless internet, and SNS.

• Geophysics and Geophysical Exploration
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• v.25 no.4
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• pp.177-188
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• 2022

Recently, the application of distributed acoustic sensors (DAS), which can replace geophones and seismometers, has significantly increased along with interest in micro-seismic monitoring technique, which is one of the CO₂ storage monitoring techniques. A significant amount of temporally and spatially continuous data is recorded in a DAS monitoring system, thereby necessitating fast and accurate data processing techniques. Because event detection and seismic phase picking are the most basic data processing techniques, they should be performed on all data. In this study, a machine learning-based P, S wave phase picking algorithm was developed to compensate for the limitations of conventional phase picking algorithms, and it was modified using a transfer learning technique for the application of DAS data consisting of a single component with a low signal-to-noise ratio. Our model was constructed by modifying the convolution-based EQTransformer, which performs well in phase picking, to the ResUNet structure. Not only the global earthquake dataset, STEAD but also the augmented dataset was used as training datasets to enhance the prediction performance on the unseen characteristics of the target dataset. The performance of the developed algorithm was verified using K-net and KiK-net data with characteristics different from the training data. Additionally, after modifying the trained model to suit DAS data using the transfer learning technique, the performance was verified by applying it to the DAS field data measured in the Pohang Janggi basin.

• Journal of IKEEE
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• v.20 no.1
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• pp.94-102
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• 2016

This paper proposes a new prediction method to reduce times and labor of repetitive multi-physics simulation. To achieve exact results from the whole simulation processes, complex modeling and huge amounts of time are required. Current multi-physics analysis focuses on the simulation method itself and the simulation environment to reduce times and labor. However this paper proposes an alternative way to reduce simulation times and labor by exploiting machine learning algorithm trained with data set from simulation results. Through comparing each machine learning algorithm, Gaussian Process Regression showed the best performance with under 100 training data and how similar results can be achieved through machine-learning without a complex simulation process. Given trained machine learning algorithm, it's possible to predict the result after changing some features of the simulation model just in a few second. This new method will be helpful to effectively reduce simulation times and labor because it can predict the results before more simulation.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.28-33
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• 2010

최근 모바일 게임에 있어서 중요한 이슈는 게임상에서 존재하는 물체들이 사실감과 생동감을 유지하면서도 프로그램의 속도 감소 문제를 발생시키지 않는 방안을 찾는 것이다. 본 논문이 제시하는 내용은 모바일 환경에서의 지능형 물리엔진 아키텍쳐에 대한 것으로 물리엔진으로 구현 한 게임 안의 환경을 인지하고 수집한 수치를 이용, 학습하여 사용자가 컨트롤하는 게임 내의 물체가 최적화 된 움직임을 보일 수 있도록 하는 데 목표를 두고 있다. 이를 위해 모바일 환경에 적합하도록 구현된 물리엔진으로 자동차 주행 시스템 환경 내에서 속성을 추출, 인공지능 모듈에 입력하여 연산량이 비교적 적은 베이지안 네트워크 알고리즘을 통해 분석하며 이를 평가한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.430-432
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• 2001

기존의 언어교육시스템을 위한 가상환경에 대한 연구는 주로 피교육자에게 줄 수 있는 시각적인 효과에 초점을 두고 있다. 그러나, 환경의 논리적인 변화를 얼마나 효율적으로 표현으로 피교육자에게 전달할 수 있는가하는 연구는 아직 취약하다. 논리적인 모순이 존재하는 가상환경은 피교육자에 대한 흥미유발을 반감시킬 수 있으므로, 가상환경의 논리적인 모델링 기술의 개발이 필요하다. 논리적인 모델링이 된 가상환경에서 자연현상은 가상세계 전반에 걸쳐서 광범위하게 영향을 미치며, 피교육자에게 가장 큰 영향을 미치게 되므로 그 구현은 특히 중요하다. 또한, 논리적인 모델링이 된 가상환경에 접속한 피교육자의 입장에서 볼 때, 피교육자의 행동이 가상환경에 아무런 영향을 주지 못하거나 혹은 가상환경의 변화가 피교육자에게 영향을 주지 못한다면, 학습의 흥미나 몰입감이 떨어질 수 밖에 없으므로, 가상환경과 내부의 물리적객체의 상호작용의 처리 또한 중요한 문제이다. 본 논문에서는 가상환경과 그 내부의 물리적객체들간의 상호작용의 처리를 견지에 두고, 지식표현방법의 하나인 스크립트를 이용하여 가상환경에서의 자연현상 처리방법을 개발하도록 한다.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.305-310
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• 2019

The purpose of this study was to empirically examine what effects of education and training program factors such as content, method, environment and instructor on learning satisfaction, job satisfaction and organizational performance. The education and training program factors like content, method and instructor were found to significantly affect learning satisfaction and job satisfaction. But environment for that program had no significant effect on any of both the satisfaction.

• The Journal of the Korea Contents Association
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• v.7 no.6
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• pp.154-160
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• 2007

The 'spatial sense' means an intuitive feel for one's surroundings and the objects in them. The early childhood is an important period to develop the 'spatial sense'. For young children, motion is a major way of extending their spatial awareness. Consequently, an important step in spatial sense instruction involves getting the children moving. This paper proposes four motion based-contents for improving the spatial sense of young children: a bubble game, a cyber goalkeeper game, a mud-huddle game, and a shape recognition game, The proposed four games are implemented to the virtual learning environments. Also, the virtual learning environments utilize the realistic interfaces which can recognize motions of young children and then interact with the games as they do the movement at the virtual environments provided. Using the realistic interfaces not only develops young children's spatial sense but also offers them the pleasure and interest of self-study.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.88-88
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• 2021

최근 수자원과 수질관리 분야에 자료기반 머신러닝 모델과 딥러닝 모델의 활용이 급증하고 있다. 그러나 딥러닝 모델은 Blackbox 모델의 특성상 고전적인 질량, 운동량, 에너지 보존법칙을 고려하지 않고, 데이터에 내재된 패턴과 관계를 해석하기 때문에 물리적 법칙을 만족하지 않는 예측결과를 가져올 수 있다. 또한, 딥러닝 모델의 예측 성능은 학습데이터의 양과 변수 선정에 크게 영향을 받는 모델이기 때문에 양질의 데이터가 제공되지 않으면 모델의 bias와 variation이 클 수 있으며 정확도 높은 예측이 어렵다. 최근 이러한 자료기반 모델링 방법의 단점을 보완하기 위해 프로세스 기반 수치모델과 딥러닝 모델을 결합하여 두 모델링 방법의 장점을 활용하는 연구가 활발히 진행되고 있다(Read et al., 2019). Process-Guided Deep Learning (PGDL) 방법은 물리적 법칙을 반영하여 딥러닝 모델을 훈련시킴으로써 순수한 딥러닝 모델의 물리적 법칙 결여성 문제를 해결할 수 있는 대안으로 활용되고 있다. PGDL 모델은 딥러닝 모델에 물리적인 법칙을 해석할 수 있는 추가변수를 도입하며, 딥러닝 모델의 매개변수 최적화 과정에서 Cost 함수에 물리적 법칙을 위반하는 경우 Penalty를 추가하는 알고리즘을 도입하여 물리적 보존법칙을 만족하도록 모델을 훈련시킨다. 본 연구의 목적은 대청호의 수심별 수온을 예측하기 위해 역학적 모델과 딥러닝 모델을 융합한 PGDL 모델을 개발하고 적용성을 평가하는데 있다. 역학적 모델은 2차원 횡방향 평균 수리·수질 모델인 CE-QUAL-W2을 사용하였으며, 대청호를 대상으로 2017년부터 2018년까지 총 2년간 수온과 에너지 수지를 모의하였다. 기상(기온, 이슬점온도, 풍향, 풍속, 운량), 수문(저수위, 유입·유출 유량), 수온자료를 수집하여 CE-QUAL-W2 모델을 구축하고 보정하였으며, 모델은 저수위 변화, 수온의 수심별 시계열 변동 특성을 적절하게 재현하였다. 또한, 동일기간 대청호 수심별 수온 예측을 위한 순환 신경망 모델인 LSTM(Long Short-Term Memory)을 개발하였으며, 종속변수는 수온계 체인을 통해 수집한 수심별 고빈도 수온 자료를 사용하고 독립 변수는 기온, 풍속, 상대습도, 강수량, 단파복사에너지, 장파복사에너지를 사용하였다. LSTM 모델의 매개변수 최적화는 지도학습을 통해 예측값과 실측값의 RMSE가 최소화 되로록 훈련하였다. PGDL 모델은 동일 기간 LSTM 모델과 동일 입력 자료를 사용하여 구축하였으며, 역학적 모델에서 얻은 에너지 수지를 만족하지 않는 경우 Cost Function에 Penalty를 추가하여 물리적 보존법칙을 만족하도록 훈련하고 수심별 수온 예측결과를 비교·분석하였다.

• School Mathematics
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• v.11 no.2
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• pp.281-299
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• 2009

In this paper, we show how dynamic manipulation environments can be integrated in the mathematics curriculum by presenting some pedagogical tasks manufactured by dynamic manipulation. These examples are composed to produce meaningful definitions through inductive experiments, to strengthen the thinking ability on continuity through the visualization, to make mathematics through investigation and finding, and to strengthen the ability of posing and generalizing problems. Through these examples students can observe the process of how mathematics is being invented, and they can experience how to solve mathematical problems using physical experiments in dynamic manipulation environments. When integration of dynamic manipulation into the teaching and learning of mathematics is applied, some difficulties can come out. To resolve such difficulties, a teacher must play the role of a co-worker of students in addition to the role of a scaffolder, coach, or close listener.

• Journal of Korean Home Economics Education Association
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• v.20 no.4
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• pp.19-42
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• 2008

The purpose of this study was to develop practical problem-based home economics teaching.learning process plans about a unit 'the youth and consumer life' of middle school eighth-grade Technology and Home Economics by applying blended learning(BL) strategy. According to ADDIE instructional design model, this study was conducted in the following procedure: analysis, design/development, implementation, and evaluation. In the stage of design and development, the selected unit was converted into a practical problem-based unit, and practical problem-based teaching. learning process plans were designed in detail by using BL strategy. An online study room for practical problem-based home economics instruction grounded in BL strategy was prepared by using Edunet(http://community.edunet4u.net/${\sim}$consumer2). Eight-session lesson plans were mapped out, and study aids for students and materials for teachers were prepared. In the implementation stage, the first-session teaching plans that dealt with a minor question 'what preparations should be made to become a wise consumer' were utilized when instruction was provided to 115 eighth graders who were in three different province, and the other one was in a middle school in the city of Daejeon. The experimental teaching was implemented for two weeks in the following procedure: preliminary program, pre-online learning, main instruction and post- online learning. The preliminary program was carried out in a session in the classroom, and pre-online learning was provided before the main instruction was given in a session in the classroom. After the main instruction was completed, post-online learning was offered. In the evaluation stage, a survey was conducted on all the learners and teachers to find out their opinions and suggestions.