• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1245-1248
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• 1996

This paper describes a cell programming environment that deals with problems associated with programming Flexible Manufacturing Cells(FMCs). The environment consists of the cell programming editor and the automatic generation module. In the cell programming editor, cell programmers can develop cell programs using task level description set which supports task-oriented specifications for manipulation cell activities. This approach to cell programming reduces the amount of details that cell programmers need to consider and allows them to concentrate on the most important aspects of the task at hand. The automatic generation module is used to transform task specifications into executable programs used by cell constituents. This module is based on efficient algorithm and expert systems which can be used for optimal path planning of robot operations and optimal machining parameters of machine tool operations. The development tool in designing the environment is an object-oriented approach which provides a simple to use and intuitive user interface, and allows for an easy development of object models associated with the environment.

• Journal of The Korean Association of Information Education
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• v.21 no.3
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• pp.335-342
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• 2017

The artificial intelligence, robot technology, Internet of things, and life sciences that create added value while dramatically transforming human life have been highlighted in the fourth industrial revolution, the next industrial revolution. In order to adapt to the 4th industry, it is necessary to educate students to develop fusion thinking and computing thinking ability. Therefore, in this study, we developed a digital Yut Playing system based on physical computing, reflecting STEAM and decomposition, pattern recognition, abstraction, and algorithm design, which are components of computing thinking. By experiencing the developed system and applying it to education, it raised interest and interest in programming education and improved programming lesson for fusion thinking and computing thinking ability.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.186-191
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• 2020

Artificial Intelligence (AI) technology is used in a variety of fields because it can make inferences and plans through learning processes. In the field of coding technologies, AI has been introduced as a tool for personalized and customized education to provide new educational environments. Also, it can be used as a virtual assistant in coding operations for easier and more efficient coding. Currently, as coding education becomes mandatory around the world, students' interest in programming is heightened. The purpose of coding education is to develop the ability to solve problems and fuse different academic fields through computational thinking and creative thinking to cultivate talented persons who can adapt well to the Fourth Industrial Revolution era. However, new non-computer science major students who take software-related subjects as compulsory liberal arts subjects at university came to experience many difficulties in these subjects, which they are experiencing for the first time. AI based coding technologies can be used to solve their difficulties and to increase the learning effect of non-computer majors who come across software for the first time. Therefore, this study examines the current state of AI based coding technologies and suggests the direction of future coding education.

• Journal of Internet Computing and Services
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• v.8 no.5
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• pp.91-97
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• 2007

Game program had been classed by 3D or on-line game etc, and engine and game programming simply, But, game programmer's kind more classified new, Artifical Intelligence game programmer's role is important. This paper makes game character study and moved by intelligence using reinforcement learning algorithm. Fought with character enemy using developed game, Confirmed whether embodied game character is facile by intelligence, As result of an experiment, we know, studied character defends excellently than randomly moved character.

• Electronics and Telecommunications Trends
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• v.31 no.2
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• pp.51-62
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• 2016

인공지능(Artificial Intelligence: AI)이 사물인터넷, 빅데이터, 엄청나게 빠른 컴퓨팅 파워와 결합하고 있다. 이에 따라 인공지능이 인간과 같은 수준의 인지능력을 갖추게 되어 가까운 장래에 개인비서 기능뿐만 아니라 기업의 의사결정이나 고객관리를 비롯한 모든 비즈니스 부문에서 큰 역할을 할 것으로 기대된다. 해외의 주요 기술업체들은 AI를 핵심 R&D 분야로 삼고 각기 Application Programming Interface(APIs) 및 클라우드 서비스를 통한 인공지능 기술의 대중화에 힘쓰고 있으며, 개발자들은 이들 도구를 각자의 애플리케이션에 통합함으로써 수익기회를 창출하고 있다. 국내에서도 대기업 및 공공 R&D를 중심으로 인공지능 기술개발이 추진되고 있으나 관련 시장참여자 전체를 견인할 수 있는 기본 생태계 조성을 위한 정부의 지원이 필요한 상황이다. 본 연구는 인공지능 시장동향과 IBM 인공지능 생태계에 대해 개관하였으며, AI 산업체 의견을 반영한 국내 인공지능 산업 활성화 생태계 조성을 위한 제언으로 AI 플랫폼 지원, 인력문제 해결 그리고 공유의 장 마련이 필요하다는 점을 제시하였다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.131-138
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• 2007

Distributed Group Decision Support System (GDSS) is in the stage between exploration and implementation, there is not unified constructing model. As computer software and hardware, network technique develop, especially the development of object-oriented programming, distributed process, and artificial intelligence, this makes it possible the practical and valid implementation of distributed GDSS. With a view of emphasizing and solving process-supporting, this article discusses how to use the key technologies of network, distributed process, artificial intelligence and man-machine mutual interface, to implement more adaptable, more flexible, and more valid GDSS than before.

• Journal of Korean Institute of Industrial Engineers
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• v.16 no.1
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• pp.123-135
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• 1990

An extensive survey is carried out on the applications of AI (Artificial Intelligence) and ES (Expert System) in mathematical programming and simulation, which are the most frequently used tools in production planning. A scheduling field is also reviewed. The scheduling problem is one of the most attractive area for AI and ES researchers, since any practical algorithmic solution methods are not available. The current practice and difficulty of applying AI and ES to production planning are discussed and future research directions are identified.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.299-300
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• 2020

본 논문에서는 머신러닝, 데이터 처리 학습을 위한 EPL 기반 D.I.Y 실습 플랫폼을 통한 학생들의 학습을 통합 관리, 학습 능률 향상, 학습 흥미 유도하고 나아서 학생의 학습 패턴을 분석해 그에 적절한 강의 추천을 목표로 하는 지능형 통합 학습 관리 플랫폼을 제안한다.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.221-229
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• 2018

Machine learning and artificial intelligence are core technologies for the 4th industrial revolution. However, it is difficult for the general public to get familiar with those technologies because most people lack programming ability. Thus, we developed a Graphic User Interface(GUI) to overcome this obstacle. We adopted TensorFlow and used .Net of Microsoft for the develop. With this new GUI, users can manage data, apply algorithms, and run machine learning without coding ability. We hope that this development will be used as a basis for developing artificial intelligence in various fields.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.443-451
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• 2020

In elementary school software education, a programming process is experienced through a simple problem solving process. And even this experience emphasizes that the problem-solving process is a CS Unplugged activity. However, CS Unplugged has a disadvantage in that it only learns the principles of computing, and the learner cannot experience real problem solving. In this study, a learning program using artificial intelligence robots was developed with the goal of cultivating the ability to solve problems encountered in the real life of elementary school students. Students could solve complex problems in real life from the point of view of artificial intelligence through the developed program, and increase their interest and understanding of artificial intelligence education through robot control.