• Journal of The Korean Association of Information Education
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• v.15 no.2
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• pp.295-305
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• 2011

By using robot programming curriculums, we are able to help the learners to improve academic achievement. But these curriculums reduce the level of participation, because most of the robot programming curriculums consists mainly of understanding simple grammatical sentences. Storytelling provides a variety of educational methods to improve logical thinking of children on their experiences and offers positive learning motivations to the learners. In this paper, we proposed the robot programming curriculum using storytelling and implemented the system to support it. By using this curriculum and visualization tools in this system, children can make a robot story and model easily with others. In addition, this robot programming curriculum and system can provide learning motivation and academic achievement to the children continuously.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.43-52
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• 2013

As a tool of programming education, a robot is effective in creative problem solving abilities and logical thinking skills. It also provides practical, operational learning experience to learners, when using as a tool of learning, it can help learners' specific understanding for the contents of education and lead to an active participation in learning. This research focuses on the robot's instrumental use in the mathematics class. So the lesson activities with relation to the fourth grade math curriculum were developed after the functional analysis of the robot and the extraction of educational utilization with function. The result shows that there wasn't a significant difference in achievement test but there was a positive response in the most of the survey items. It shows that robots lead to an active participation in class, to be interested in math class and were helpful to understand math concepts. There was also a positive response in the result of learner interviews such as dynamic, collaborative communication, experiential, practical lessons that are rare sights in normal math class.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.541-548
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• 2014

The goal of this study is to suggest evaluation tools to assess computational thinking(CT) skills in primary robot-based programs. In addition, the researcher has expanded its evaluation approaches to include interpersonal competencies from the socio-cultural perspectives, not just focusing on intrapersonal competencies. In order to pursue the research goal, one-semester robots programs for the fifth graders were designed, and evaluation tools including a learners' CT competencies survey and a learning process monitoring rubric were developed. The results of this study are meaningful because it has expanded the evaluation approaches to connect to the concepts of CT and to include interpersonal aspects from the socio-cultural perspectives.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.712-717
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• 2007

Using home network system including home server, home service robot, a variety of device, it is generally known that application of Multi Agent System for performing variously distributed process that can be occur in home environment, is efficient method. In this system, it is intelligent service robot that a key of human interface and physical service offer Therefore, using application of established multi agent system, we can defined Multi Agent Robot System. In 'open' home environment, between all agent data interaction and cooperation are needed for Multi Agent System offer to user that more efficient service. For this, we focus our attention on define as agent that can autonomic drive and offer to user that physical service robots and, design, suggest the simulator can display that between robot agents communication or between other agents, like home server, and robot agents communication information to user interface.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.2
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• pp.102-106
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• 2013

A cooperative navigation method for cooperative flight of UAVs is proposed. The commonly used navigation method for UAVs is based on GNSS measurements. However, when it is not available by jamming or other causes, an alternative method is needed. In this paper, it is shown that UAVs equipped with inertial sensors, passive sensor and wireless communication link can perform accurate navigation through sharing information with each other. Firstly, the appropriate roles for sensors and wireless communication link are assigned. Secondly, a filter to perform navigation cooperative is constructed. Finally, the boundedness of estimation error of the filter under small initial estimation error is analyzed. The simulation results show that the proposed method can reduce navigation errors effectively.

• Proceedings of the KIPE Conference
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• 1997.07a
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• pp.449-453
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• 1997

이 논문은 초음파모터를 이용한 직접구동방식의 전완로봇 개발에 관해서 논하였다. 기어 감속 없이 느린 동작하에서 큰 힘을 제공하기 위해 진행파형 초음파모터를 액츄에이터로 사용하였다. 이 시스템에서는 환경과의 상호작용력에 의한 힘 피드백 제어는 사용하지 않고, 위치 정보만을 사용하였다. 크랭크 회전같은 접촉작업과 핑거의 협력작업에 대한 실험을 고찰하였다.

• The Journal of Korea Robotics Society
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• v.1 no.2
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• pp.172-179
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• 2006

In this paper, we present a practical place and object recognition method for guiding visitors in building environments. Recognizing places or objects in real world can be a difficult problem due to motion blur and camera noise. In this work, we present a modeling method based on the bidirectional interaction between places and objects for simultaneous reinforcement for the robust recognition. The unification of visual context including scene context, object context, and temporal context is also. The proposed system has been tested to guide visitors in a large scale building environment (10 topological places, 80 3D objects).

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.17-18
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• 2021

The unit-water content of concrete is one of the important factors in determining the quality of concrete and is directly related to the durability of the construction structure, and the current method of measuring the unit-water content of concrete is applied by the Air Meta Act and the Electrostatic Capacity Act. However, there are complex and time-consuming problems with measurement methods. Therefore, high frequency moisture sensor was used for quick and high measurement, and unit-water content of mortar was evaluated through machine running and deep running based on measurement big data.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.70-71
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• 2021

The unit quantity that affects the workability, shrinkage cracking, and durability of concrete is an important factor. Methods for measuring the unit quantity include a high frequency heating method, a capacitance method, a unit volume mass method, and a simple method. However, these methods have the disadvantage of poor measurement method, time required, and precision. To solve this problem, a relatively simple and fast measurement method was adopted to compensate for the shortcomings through a Frequency Domain Reflection (FDR) sensor, and the unit quantity was used. In addition, the measurement data was analyzed by deep learning to evaluate the unit quantity of concrete.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.442-445
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• 2023

최근 딥러닝 및 로봇기술의 발전으로 인해 대량의 데이터를 빠르게 수집하고 처리하는 연구 분야들로 확대되었다. 이와 관련된 한 가지 분야로써 다중 로봇을 이용한 분산학습 연구가 있으며, 이는 단일 에이전트를 이용할 때보다 대량의 데이터를 빠르게 수집 및 처리하는데 용이하다. 본 연구에서는 기존 Distributed Neural Network Optimization (DiNNO) 알고리즘에서 제안한 정적 분산 학습방법과 달리 단계적 분산학습 방법을 새롭게 제안하였으며, 모델 성능을 향상시키기 위해 원시 변수를 근사하는 단계수를 상수로 고정하는 기존의 방식에서 통신회차가 늘어남에 따라 점진적으로 근사 횟수를 높이는 방법을 고안하여 새로운 알고리즘을 제안하였다. 기존 알고리즘과 제안된 알고리즘의 정성 및 정량적 성능 평가를 수행하기 MNIST 분류와 2 차원 평면도 지도화 실험을 수행하였으며, 그 결과 제안된 알고리즘이 기존 DiNNO 알고리즘보다 동일한 통신회차에서 높은 정확도를 보임과 함께 전역 최적점으로 빠르게 수렴하는 것을 입증하였다.