• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.225-234
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• 2014

Robot programming allows students to plan an algorithm in order to solve a task, implement the algorithm, easily confirm the results of the implementation with a robot, and correct errors. Thus, robot programming is a problem solving process based on reflective thinking, and is closely related to students' metacognition. On this point, this research is conducted to develop a robot programming instructional model for tile enhancement of students' metacognition. The instructional processes of robot programming are divided into 5 stages (i.e., 'exploration of learning tasks', 'a teacher's modeling', 'preparation of a plan for task performance along with the visualization of the plan', 'task performance', and 'self-evaluation and self-reinforcement'), and core strategies of metacognition (i.e., planning, monitering, regulating, and evaluating) are suggested for students' activities in each stage. Also, in order to support students' programming activities and the use of metacognition, instructional strategies based on cognitive apprenticeship (i.e. modeling, coaching and scaffolding) are suggested in relation to the instructional model. In addition, in order to support students' metacognitive activities. the model is designed to use self-questioning, and questions that students can use at each stage of the model are presented.

• Journal of the Korean Institute of Landscape Architecture
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• v.38 no.3
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• pp.115-125
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• 2010

A theme park is not just a recreational space for leisure activities, but also a place of storytelling as collected around abstract boundaries called themes. These stories are 'a space that tells the meaning' that the visitor is looking for and the Robot Land space offers robots, humans, and nature. This study is a description of the design strategy and content of the work which was elected as a subject of the subsequent rank negotiation of the Masan Robot Land design contest for the selection of a private contractor. The focus of the plan is, first, the organizational power of each space and the delivery power of a theme for the history of revisits, which might be considered depending on whether or not the theme park has been successful in the visitor's mind. Second, it is to actively use the potential of Masan, which is not only the key hub of the mechanical industry but also has beautiful coastal resources. First, they created a space that can flexibly react depending on the user's desire and the change of form, minimizing environmental damage by using a linear metabolism that can provide an amalgam of the elemental characteristics of robots, humans, and nature as motifs. They introduced a planting plan for the admissions square, an existing forest, slope, vacation spot, the inside of a complex, and Eco Island, etc. by utilizing symbolic meaning and adjusting to the spatial characteristics of each space. In addition, they sought a detailed space by setting up zones tailored to the use and character of the subject area, having exhibitions and education about robots, vacation facilities for lodgers, various recreational and commercial facilities, and space for utopian gardens as themes. They planned Masan Robot Land to be a true cultural space that creates mental richness on the basis of not only the economical effects but also local emotion.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.688-693
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• 2007

본 논문은 인간과 로봇간의 효과적인 상호작용을 위한 로봇제스쳐의 자동생성 기법을 다룬다. 이는 텍스트 정보 만의 입력으로 의미 있는 단어에 대응되는 특정 제스쳐패턴이 자동적으로 생성되도록 하는 기법으로서 이를 위한 사전조사로 제스쳐가 출현하는 발화시점에서의 단어수집이 우선적으로 요구되었다. 본 논문은 이러한 분석을 위해 두 개 이상의 연속된 제스쳐 패턴을 효과적으로 표현할 수 있는 제스쳐 모델을 제안한다. 또한 제안된 모델이 적용되어 구축된 제스쳐DB와 스크립트 기법을 이용한 로봇제스쳐 자동생성 방법을 제안한다. 제스쳐 생성시스템은 규칙기반의 제스쳐 선택부와 스크립트 기반의 동작 계획부로 구성되고, 집사로봇의 안내기능에 대한 모의실험을 통해 그 효용성을 확인한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.138-140
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• 2022

시스템은 음식 알레르기가 있는 사용자에게 제공되는 식단을 계획하거나 제공할 때 음식, 식품 또는 레시피에 알레르기 성분이 있는지를 확인하고 표시함으로써 음식 알레르기를 예방할 수 있으며, 더 나아가 음식 알레르기의 대체 식품을 추천하고 선택하는 기능을 제공한다. 또한 음식 영양성분 및 열량을 재산정 함으로써 영양균형을 이룰 수 있는 환경을 제공한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.329-332
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• 2006

계획기법 이란 목적을 달성하기 위해 일련의 행동 순서를 찾는 것이다. 계획 기법을 통해 수립된 많은 행동들을 로봇 등 에이전트가 실행할 때 예기치 않은 문제들이 발생하게 된다. 이러한 문제들을 실시간으로 해결하여 에이전트가 주어진 목적을 달성할 수 있도록 하여야 한다. 그러한 문제점을 해결하는 방법에는 반응 계획기법, 재 계획기법, 그리고 지역 복구기법 등이 있다. 본 논문에서는 재 계획기법과 지역 복구기법의 장점을 가지는 이정표상태 계획기법을 간단히 제안하고 이정표 상태의 생성 방법을 연구하였다. 이정표 상태들은 수립된 계획의 모의 실행을 통하여 생성하였으며 행동 실행에 관련된 조건들의 criticality value를 이용하는 방법과 계획에 나타나는 행동들의 빈도수를 이용하는 방법을 제안 하였다.

• Journal of Advanced Navigation Technology
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• v.13 no.5
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• pp.646-655
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• 2009

This paper presents a new search strategy based on models of evolution in order to solve the problem of collision-free robotic path planning. We designed the robot path planning method with genetic algorithm which has become a well-known technique for optimization, intelligent search. Considering the path points as genes in a chromosome will provide a number of possible solutions on a given map. In this case, path distances that each chromosome creates can be regarded as a fitness measure for the corresponding chromosome. The effectiveness of the proposed genetic algorithm in the path planning was demonstrated by simulation. The proposed search strategy is able to use multiple and static obstacles.

• The Monthly Technology and Standards
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• s.27
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• pp.25-32
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• 2004

• Journal of Korean Electronics
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• v.28 no.8
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• pp.28-29
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• 2008

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.195-201
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• 2010

Recently, the necessity of the autonomous mobile robot is emphasized in order to enlarge the scope of activity and actively cope with the change of work environment. This paper proposes the algorithm which enables the mobile robot to avoid obstacles and lead it to the destination by the shortest path. And we verify the usability by a simulation. We made the algorithm with micro-GA and $\lambda$-geometry MRA. The area of simulation is limited to 320(width)$\times$200(length) pixels and one pixel is one centimeter. When we planned the path with only $\lambda$-geometry MRA, we could find the direction for path planning but could not find the shortest path. But when we planned the path with $\lambda$-geometry MRA and micro-GA, we could find the shortest path. So the algorithm enables us to find the direction for path planning and the shortest path.

• Journal of KIISE:Software and Applications
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• v.34 no.3
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• pp.235-245
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• 2007

UUV(Unmanned Underwater Vehicle) should possess an intelligent control software performing intellectual faculties such as cognition, decision and action which are parts of domain expert's ability, because unmanned underwater robot navigates in the hazardous environment where human being can not access directly. In this paper, we suggest a RVC intelligent system architecture which is generally available for unmanned vehicle and develope an autonomous navigation system for UUV, which consists of collision avoidance system, path planning system, and collision-risk computation system. We present an obstacle avoidance algorithm using fuzzy relational products for the collision avoidance system, which guarantees the safety and optimality in view of traversing path. Also, we present a new path-planning algorithm using poly-line for the path planning system. In order to verify the performance of suggested autonomous navigation system, we develop a simulation system, which consists of environment manager, object, and 3-D viewer.