• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.423-426
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• 2003

In this paper, we use the modular neural network and recurrent neural network structure to implement the artificial brain information processing. We also select related adaptive learning methods to learn the entirely new input in the existed neural network. With this, a part of information process in brain is implemented as and autonomous and adaptive model by neural network and further more, the entire model for information process in brain can be introduced.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.241-244
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• 2005

최근 로봇의 개발 경향은 인간과 로봇이 공존하면서 서비스를 제공하는 로봇의 개발이 지속적으로 증가하는 추세이다. 인간은 자신의 성향에 맞게 능동적인 역할 수행하는 서비스 로봇을 요구한다. 하지만 일률적으로 생산된 서비스 로봇은 다양한 사람들의 개성을 모두 충족시키지 못하고 있다. 그래서 사용자의 환경, 상황을 인식하고 사용자의 성향에 맞는 행동을 지능적으로 판단하고 대처할 수 있는 로봇이 요구된다. 본 논문에서는 주변 환경을 평가하고 로봇이 스스로 행동할 수 있는 지능형 알고리즘을 제안하고자 한다. 다수 입력을 통해 제어할 수 있도록 퍼지 룰을 이용하여 추론하였다.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1889-1892
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• 2002

In this paper, we propose the self-autonomous algorithm for mobile robot system (MRS). The proposed mobile robot system which is learned by learning with the neural network can trace the target at the same distances. The mobile robot can use ultrasonic sensors and calculate the distance between target and mobile robot. By teaming the setup distance, current distance and command velocity, the robot can do intelligent self-autonomous drive. We use the neural network and back-propagation algorithm as a tool of learning. As a result, we confirm the ability of tracing the target with proposed mobile robot.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.230-233
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• 2009

본 논문은 볼륨 데이터를 입력받아 계층성을 지원하는 등밀도 표면을 재구성하는 방법을 제안한다. 제안된 방법은 먼저 입력 볼륨 데이터에서 볼륨 피라미드를 구성하고 해상도가 최저인 피라미드의 최상단 볼륨에서부터 셀경계표현 방법을 이용하여 조악한 초기 메쉬를 생성하며, 이 메쉬를 표면축소기법을 사용하여 반복적으로 변형하여 O(3)-인접성 조건하에서 추출한 등밀도점을 잘 근사할 수 있도록 한다. 제안된 방법은 생성되는 표면이 압축이나 점진적인 전송 등과 같은 다중 해상도 알고리즘에 활용될 수 있다는 장점이 있다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.1-10
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• 2023

Digital transformation is accelerating in all industries due to COVID-19 and rapidly developing ICT technology. In the field of education, teaching methods that combine various IT devices and software technologies are being applied. The education requires a future learning environment using EduTech such as digital learning tools. We perform a case study on the use of digital learning tools for effective class. In this study, digital learning tools were applied to an university class. The class was held in the second semester of 2022 at A university, with 67 students participating. In our case, QuizN, Mentimeter, and Google Forms were applied as digital learning tools. In order to evaluate our case, a survey was conducted using the Google Questionnaire. From the results of the survey evaluation, more than 85% of all survey questions answered that they were satisfied. From it, digital learning tools were shown to be effective in class operation.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2018.05a
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• pp.329-330
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• 2018

• Analytical Science and Technology
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• v.29 no.6
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• pp.300-304
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• 2016

The asphalt antistripping agents were synthesized from ethylenediamine (ED) or N,N'-bis(2-hydroxyethyl)ethylenediamine (HEED) with three different fatty acids. The formation of amide bonds were successfully performed and confirmed by FT-IR and $^1H-NMR$ data. The adhesive properties of antistripping agents were compared in terms of contact angle and BBS test. The reaction product of ED with waste animal fat exhibited the most hydrophobic by the contact angle measurement, and the strongest water resistance of 94 % by BBS test. However, the reaction product of ED with waste vegetable oil showed the strongest absolute bond strength of ca. 3610 and 3227 kPa for before and after water conditioning, respectively. For the bond strength in general, the reaction products of ED were superior to HEED reaction products, and the reaction products of animal fat and waste vegetable oil were superior to those of pure soybean oil.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.339-345
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• 2021

With the development of online education due to COVID-19, the EduTech market, which combines new technologies such as AI and AR/VR in education is rapidly growing. In addition, the children's industry is steadily growing despite the decreasing birth rate every year as more and more families with one child per household are investing in their children. However, supply of contents to EduTech market is slow compared to demands that are increasing. Therefore, the purpose of this paper is to help solve these problems by developing and supporting AR kids contents with convenience, practicality, and efficiency using AR technology. AR content for supporting vocabulary learning for infants is not just an end to watching and listening, but an observation-driven model that can manipulate content directly, which attracts children's interest and helps children learn words. This paper is intended for infants from 15 months to 36 months old when full-fledged language development occurs.

• The Mathematical Education
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• v.63 no.2
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• pp.273-294
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• 2024

Recently, interest in Edu-Tech, which applies new technologies to the educational field, is growing. Edu-Tech is now being naturally used in schools, allowing both teachers and students to adapt to these changes. Particularly, there's significant attention on using Edu-Tech to bridge the educational gap through various teaching and learning strategies. This study focuses on the importance of self-directed task management by students for supplementary learning. It developed and utilized a math learning platform that enables teachers to easily provide and manage necessary tasks for students. Initially, the study developed "Sussam-MathTeacher" a problem-based learning application for middle school students, aimed at enhancing problem-solving abilities. This platform operates as a task management system, allowing teachers to assign or recommend problems to either the entire class or individual students. It aims to improve students' problem-solving abilities through a process that includes presenting necessary tasks, monitoring their own progress in solving problems, and self-assessing growth. Through this study, students demonstrated improved problem-solving skills by tackling tasks suited to their levels using "Sussam" highlighting the critical role of teachers in the digital educational environment.

• Analytical Science and Technology
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• v.27 no.6
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• pp.308-313
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• 2014

The effect of electrochemical characteristics of dye-sensitized solar cells (DSSC) upon employing multi-wall carbon nanotube (MWCNT) on both working electrode and counter electrode were examined with using EIS, J-V curves and UV-Vis absorption spectrometry. When 0.1 wt% of MWCNT was employed in the $TiO_2$-MWCNT composit on working electrode, the energy conversion efficiency increased about 12.5% compared to the $TiO_2$ only working electrode. The higher light conversion efficiency may attribut to the high electrical conductivity of MWCNT in $TiO_2$-MWCNT composite which improves the electron transport in the working electrode. However, higher amount of MWCNT than 0.1 wt% in the $TiO_2$-MWCNT composite decreases the light conversion efficiency, which is mainly ascribed to the decreased transmittance of light by MWCNT and to the decreased adsorption of dye onto $TiO_2$. The MWCNT employed counter electrode exhibited much lower light conversion efficiency of DSSC than the Pt-counter electrode, while the MWCNT-Pt counter electrode showed similar in light conversion efficiency to that of Pt-counter electrode.