• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.481-484
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• 2024

본 논문에서는 레고(LEGO®) 조립 설명서를 생성하기 위해 딥러닝을 이용한 조립 및 설명서 생성 시스템을 제안한다. 이 시스템은 사용자가 제공한 단일 이미지를 기반으로 레고 조립 설명서를 자동 생성한다. 해당 시스템은 딥러닝 기반 이미지 분할 기술을 활용하여 물체를 배경으로부터 분리하고 이를 통해 조립 설명서를 생성하는 과정을 포함하며, 조립을 위한 알고리즘을 새로 설계하였다. 이 시스템은 기존 레고 제품의 한계를 극복하고, 사용자에게 주어진 부품으로 다양한 모델을 자유롭게 조립할 수 있게 한다. 또한, 복잡한 레고 조립 과정을 간소화하고, 조립의 장벽을 낮추는 데 도움을 준다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.279-280
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• 2019

본 논문에서는 모터와 센서를 제어하고 무선통신 까지 지원하는 LEGO MINDSTORMS Education EV3의 다양한 센서를 활용하여 창의융합교육 방식에 대한 연구를 하였다.

• The KIPS Transactions:PartA
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• v.18A no.5
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• pp.165-176
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• 2011

In this paper, we show how a curriculum using LEGO MINDSTORMS NXT robot based ROBOTC for undergraduate students has been developed, and we analyze the educational effect of the curriculum. The curriculum is composed of basic knowledge learning, practice with basic robots, practice with advanced robots, and creative design and implementation of robots. During the three year period since 2009, educational achievement has been analyzed by surveys for 6 classes, 94 students. According to the analysis, the curriculum has highly motivated the students and made them to achieve effectively our educational and academic goals. Also, we observe that the curriculum helped the students to improve their creativity and the problem solving skill, and that the students were autonomously and deeply involved in the homework and the term projects, which made them be very cooperative. Finally, the intensive practice with ROBOTC programming is shown to help students to improve their programming ability of C language.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.484-491
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• 2022

A paradigm shift in teaching modular construction in higher education and K-12 is proposed as a means to increase the future adoption of the modular construction technique. To this effect, a new education module is presented to STEM educators. This education module is based on LEGOs and directed towards educators in the architecture, engineering, and construction (AEC) industry. The main objectives of the education module are to increase interest and knowledge of modular construction, acknowledge the benefits of using 3D design with 4D scheduling, and create a simulating hands-on educational opportunity. The education module is designed to allow participants to experience a hands-on simulation of modular construction and stick-built construction through building a LEGO project. Participants are challenged to find the advantages and disadvantages in both construction systems first-hand and record their findings. Results are presented from the preliminary testing of this education model on a group of construction management students at the University of Nevada, Las Vegas. Overall, the survey results showed that the LEGO education module was successful at achieving the project's three main objectives: 1) increasing the participants' interest and knowledge of modular construction through an interactive project; 2) increasing the participants' understanding of the benefits of 3D design with 4D scheduling over the use of 2D drawings; and 3) creating a simulating hands-on educational opportunity to help participants compare modular construction to stick-built construction. In the end, this proposed a new LEGO education module addressing the problems identified from this study with more participants.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.383-385
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• 2021

According to a paper on estimating and forecasting the size of the pet-related industry published in 2018, 26.9% of the nation's pet-owned households were in their 30s and one-person households, consisting only of couples, as of 2015. Regarding the social increase in single-person households and double-income couples, it is believed that the surge in neglect time and lack of training time that pets do not want is a problem. This paper conducted the development of hardware and software products for the training and management of companion animals using Lego Mind Storm. Lego mind Storm is equipped with a variety of sensors and can produce equipment to train or care pets with simple programming through easy assembly and visual scripting. It is also expected that switching to new equipment will be easy because it is well modularized. We hope that this study will help the training and management of pets when the expansion of the pet market becomes active through this study.

• Journal of Internet Computing and Services
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• v.11 no.4
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• pp.159-173
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• 2010

It is difficult for us to teach the introduction course of programming to beginners just starting their college life. What is particularly hard to do is to provide them with learning motivation so that the freshmen can be easily and rapidly adapted to programming work and to enhance their will to learn. In this paper, we suggest a method to apply LEGO Mindstorms robot to the introduction course of programming in purpose to allow programming beginners to be motivated and have higher will to learn so that they can receive programming education easily and joyfully. This paper attempts to find reasonable methods for improvement which can help programming beginners to be motivated and encouraged to learn in the course of C programming education and can facilitate learning effects as well, and conducts education using LEGO Mindstorms robot as a way to solve problems like students' low interest or will to learn. According to the result of providing the freshmen with the introduction course of C programming to which the suggested method was applied, it was found that their academic achievement in programming education enhanced through their increased motivation and will to learn programming. This result shows that students' interest, motivation, and will to learn the subject are statistically significant improvement through the course that employs LEGO Mindstorms robot.

• The Magazine of the IEIE
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• v.43 no.9
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• pp.47-53
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• 2016

• Nuclear Engineering and Technology
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• v.39 no.2
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• pp.95-102
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• 2007

The conceptual design of the MIT modular pebble bed reactor is described. This reactor plant is a 250 Mwth, 120 Mwe indirect cycle plant that is designed to be deployed in the near term using demonstrated helium system components. The primary system is a conventional pebble bed reactor with a dynamic central column with an outlet temperature of 900 C providing helium to an intermediate helium to helium heat exchanger (IHX). The outlet of the IHX is input to a three shaft horizontal Brayton Cycle power conversion system. The design constraint used in sizing the plant is based on a factory modularity principle which allows the plant to be assembled 'Lego' style instead of constructed piece by piece. This principle employs space frames which contain the power conversion system that permits the Lego-like modules to be shipped by truck or train to sites. This paper also describes the research that has been conducted at MIT since 1998 on fuel modeling, silver leakage from coated fuel particles, dynamic simulation, MCNP reactor physics modeling and air ingress analysis.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.351-352
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• 2008

네트워크 기반의 씬 클라이언트 로봇은 내장된 리소스가 부족하지만 네트워크를 통해 이를 극복하려는 로봇이다. 씬 클라이언트 로봇에는 부족한 내장 리소스를 네트워크를 통해 효과적으로 운영하기 위한 디바이스 맵 프로토콜과 로봇 제어 및 개발 플랫폼으로써 로보이드 스튜디오가 제안되어 있다. 현재 로보이드 스튜디오는 공개 소프트웨어 방식으로 다양한 로봇을 지원하지만, 아직은 실제 지원되는 로봇의 종류가 부족하다. 따라서 새로운 로봇에 대한 이식 지원 방법과 다양한 이식 환경 속에서 문제점을 찾아 해결해야 한다. 우리는 첫 번째로 씬 클라이언트 로봇보다는 내장 리소스가 풍부하며, 광범위한 사용자층을 갖고 있는 LEGO NXT를 선택하여 로보이드 스튜디오 운영 및 개발 환경의 이식 절차를 제안하고, 로보이드 스튜디오 프레임워크가 제공하는 네트워크 기반 로봇 제어 기술의 성능을 검증한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.1
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• pp.65-69
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• 2002

The main drawback of “classical”fuzzy systems is the inability to design and maintain their database. To overcome this disadvantage many types of extensions adding the adaptivity property to those systems were designed. This paper deals with one of them a new hybrid adaptation structure, called gradient-incremental adaptive fuzzy controller connecting gradient-descent methods with the so-called self-organizing fuzzy logic controller designed by Procyk and Mamdani. The aim is to incorporate the advantages of both Principles. This controller was implemented and tested on the system of LEGO robots. The results and comparison to a ‘classical’(non-adaptive) fuzzy controller designed by a human operator are also shown here.