• Proceedings of the Korea Society for Simulation Conference
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• 2000.11a
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• pp.73-77
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• 2000

현재 발전소의 시뮬레이터 교육은 교재 위주로 시행되고 있어서 발전소의 입체영상이나 가상사고 진행에 따른 동적 상태변화 등을 실감있게 교육할 수 있는 교육설비가 없다. 이러한 문제점을 보완하기 위해 가상현실 및 멀티미디어 기법을 적용하여, 발전소 전반 및 주 제어실 등을 3차원 모델로 개발하고 이를 입체영상으로 시각화하여 발전소의 복잡한 구조와 기능들을 설명하고, 운전 중 발생 가능한 다양한 사고에 대한 시나리오 선정 및 저작으로 운전원 교육시 시뮬레이터실이 아닌 강의실에서 사고현상 시뮬레이션을 가능하게 하는 시스템을 개발하기 위한 설계를 완료하였다. 본 논문에서는 3차원 CAD 데이터 구축, 가상현실 시스템 개발, 웹 환경의 교육시스템 개발, MMI 화면개발을 통한 시뮬레이터 연동 시스템 개발 등을 구현하기 위해 현재까지 설계된 컴퓨터 지원 교육훈련시스템에 대한 전반적인 내용을 제시 하고자 한다.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.897-900
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• 2003

본 논문에서는 SCORM 기반 시퀀싱 모델을 기반으로 학습객체의 구조에 대한 정보, 학습자에게 학습 객체를 어떻게 전달할 지를 결정하는 규칙 등을 포함하고 있는 컨텐츠 구조를 제시하고 학습 컨텐츠의 재사용과 공유가 가능하고 동일한 학습 컨텐츠에 서로 다른 교수법을 적용하여 교육의 효과를 달리할 수 있도록 시퀀싱을 위한 컨텐츠 패키지 메타데이터 생성기를 개발한다. 또한 학습자 정보 트래킹을 위한 SCO(Sharable Content Object)함수를 부착하여 학습 객체가 SCORM RTE(Run-Time Environment)와 통신 할 수 있도록 PIF(Package Interchange File)로 자동 패키징 시킨다.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.141-150
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• 2004

The method of reusing the environmental data which is previously modelled in modeling and simulation is very important. So, we need an environmental data representation and interchange mechanism which satisfies the requirements of sharing. The SEDRIS STF(SEDRIS Transmittal Format) provides environmental data users and producers with a clearly defined interchange specification. In this paper, We design and implement an automatic converter which converts commercial data(Maya) format to standard interchange format and vice verse without losing semantic of information content using SEDRIS standard interchange format.

• Journal of The Korean Association of Information Education
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• v.13 no.1
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• pp.96-104
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• 2009

We want to achieve the reliable information system such as e learning system in the internet environments. The difficulty of the program reliability estimation comes from faults that occurred from program and data files are distributed among several servers. This paper is focus on a modeling approach based on Colored Petri Nets to estimate the program reliability in an internet environment. The procedure of analyzing the reliability is as follows. At first, we propose an internet program model. This model is transformed into a Colored Petri net, and the reliability is estimated. We adapt this model to the analyzing the reliability in the internet environment. This method is very simple, and is very helpful to develope program

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.116-122
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• 2019

In recent years, small and medium-sized businesses are rapidly changing to an industrial structure where process/quality/energy data aggregates can be automatically or real-time to achieve global competitiveness. In particular, real-time information analysis produced in the production process of small businesses is evolving into a new process process that analyzes, predicts, prescribes and implements significant performance of small businesses. In this paper, we propose a platform-building model that can transform the automated production information system of small businesses into big data so that they can upgrade data that is generated by small businesses. The proposed model has the capability to support operational efficiency (consulting and training) and strategic decision making of small businesses by utilizing a variety of data on the basic information of products produced by small businesses for data collection by smart SMEs. In addition, the proposed model is characterized by close cooperation between small and medium-sized businesses with different regional characteristics and areas of information sharing and system linkage.

• Journal of Industrial Convergence
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• v.22 no.2
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• pp.13-22
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• 2024

In the current epoch of educational technology (EdTech), the realization of a personalized learning system has become increasingly important. This is due to the growing diversity of today's learners in terms of backgrounds, learning styles, and abilities. Traditional educational methods that deliver the same content to all learners often fail to take this diversity into account. This paper identifies models that comprehensively analyze learners' characteristics, interests, and learning histories to meet the growing demand for learner-centered education. Based on these models, we have designed a personalized learning system. This system is structured to support autonomous learning tailored to the learner's current level and goals by identifying strengths and weaknesses based on the learner's learning history. In addition, the system is designed to extend necessary learning elements without changing its architecture. Through this research, we can identify the essential foundations for constructing a user-tailored learning system and effectively develop a system architecture to support personalized learning.

• Journal of Industrial Convergence
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• v.21 no.5
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• pp.133-142
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• 2023

In recent years, the problem of academic credential falsification is not simply the manipulation of certificates generated by educational institutions, but also the difficulty of trusting automated relationship verification and verification itself, such as falsely recording completion as graduation while still in school. This is due to the lack of sharing of educational background databases among university institutions and the establishment/operation of independent systems that make it difficult to track educational backgrounds. This study designs and implements an E-AV model for academic credential verification centered on university institutions. It summarizes and stores the linked information on the existing academic background in an encrypted database and implements it with web standard technology considering the compatibility and scalability of the existing system. The results of sample data verification show that it improves safety against forgery and complies with storage space and execution performance. This study aims to contribute to the improvement of online verification services such as academic records management in domestic universities.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.279-284
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• 2022

As a study of the blended learning method on design education through the blended learning method, I would like to propose that more advanced learner-led customized design education is possible. Understanding in face-to-face classes and advantages in non-face-to-face classes can be supplemented in an appropriate way in remote classes. Advanced artificial intelligence and big data technology can provide personalized and subdivided learning materials and effective learning methods tailored to learners' levels and interests based on quantified data in design classes. In this paper, it was proposed to maximize the efficiency of the class by applying a method that exceeds the limitations of time and space through the proposal of the A La Carte model (A La Carte). It is a remote class that can be heard anytime, anywhere, and it is also possible to bridge the educational quality and educational gap provided to students living in underprivileged areas. As the goal of fostering creative convergence-type future talents, it is changing with a rapid technological development speed. It is necessary to adapt to the change in learning methods in line with this. An analysis of the infographic virtual space design and construction process through the A La Carte model (A La Carte) proposal was presented. Rather than simply acquiring knowledge, it is expected that knowledge can be sorted, distinguished, learned, and easily reborn with its own knowledge.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.151-158
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• 2018

The purpose of this study is to develop a system for predicting students' collaborative problem solving ability based on the ICT factors of PISA 2015 that affect collaborative problem solving ability. The PISA 2015 computer-based collaborative problem-solving capability evaluation included 5,581 students in Korea. As a research method, correlation analysis was used to select meaningful variables. And the collaborative problem solving ability prediction model was created by using the deep learning method. As a result of the model generation, we were able to predict collaborative problem solving ability with about 95% accuracy for the test data set. Based on this model, a collaborative problem solving ability prediction system was designed and implemented. This research is expected to provide a new perspective on applying big data and artificial intelligence in decision making for ICT input and use in education.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.749-755
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• 2022

Electricity is essential energy in modern society, such as being used in various industries. However, the rate of fires occurring on electric wiring to deal with it is very high. In this work, we implemented a system to predict the temperature change of an electric circuit through analysis using various regression models. To do so, we collected the temperature data of 27 types of magnetic switches which control electric circuits as well as trained the regression models by using the collected temperature data. In our experiments, we confirmed that the regression models can be trained at a sufficiently usable level since the difference between the actual temperature and predicted temperature is about 4℃. The results of our work will be useful to predict the temperature of electric circuits and preventing fires on them.