• Title/Summary/Keyword: 일반화기준

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A Design for the Personalized Difficulty Level Metric based on Learning State (학습 상태에 기반한 맞춤형 난이도 측정을 위한 척도 설계)

  • Jung, Woosung
    • Journal of the Korea Convergence Society
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    • v.11 no.3
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    • pp.67-75
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    • 2020
  • The 'level of difficulty' is one of the major factors for learners when selecting learning contents. However, the criteria for the difficulty level is mostly defined by the contents providers. This approach does not support the personalized education which should consider the abilities and environments of various learners. In this research, the knowledge of the learners and contents were formalized and generalized to resolve the issue, and object models, including a metric for personalized difficulty level, were designed in order to be applied for experiments. And then, based on 100 contents for music education and 20 learners, we performed simulations with an implemented tool to validate our approach. The experimental results showed that our method can calculate the personalized difficulty levels considering the similarities between the knowledges from the learning state and the contents. Our approach can be effectively applied to the on-line learning management system which contains easy access to the learning state and contents data.

Performance Improvement Method of Convolutional Neural Network Using Agile Activation Function (민첩한 활성함수를 이용한 합성곱 신경망의 성능 향상)

  • Kong, Na Young;Ko, Young Min;Ko, Sun Woo
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.7
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    • pp.213-220
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    • 2020
  • The convolutional neural network is composed of convolutional layers and fully connected layers. The nonlinear activation function is used in each layer of the convolutional layer and the fully connected layer. The activation function being used in a neural network is a function that simulates the method of transmitting information in a neuron that can transmit a signal and not send a signal if the input signal is above a certain criterion when transmitting a signal between neurons. The conventional activation function does not have a relationship with the loss function, so the process of finding the optimal solution is slow. In order to improve this, an agile activation function that generalizes the activation function is proposed. The agile activation function can improve the performance of the deep neural network in a way that selects the optimal agile parameter through the learning process using the primary differential coefficient of the loss function for the agile parameter in the backpropagation process. Through the MNIST classification problem, we have identified that agile activation functions have superior performance over conventional activation functions.

Analysis on Contents and Problem solving methods of Fraction Division in Korean Elementary Mathematics Textbooks (우리나라 초등 수학 교과서에 제시된 분수 나눗셈 내용과 해결 방법 분석)

  • Lee, Daehyun
    • Journal of the Korean School Mathematics Society
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    • v.25 no.2
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    • pp.105-124
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    • 2022
  • The contents of fraction division in textbooks are important because there were changes in situations and problem solving methods in textbooks according to the revision of the curriculum and the contents of textbooks affect students' learning directly. So, this study analyzed the achievement standards of the curriculum and formula types and situations, and the introduction process of non-standard and standard algorithms presented in Korean mathematics textbooks. The results are follows: there was little difference in the achievement standards of the curriculum, but there was a difference in the arrangement of contents by grades in textbooks. There was a difference in the types of formula according to textbooks. And the situation became more diverse; recent textbooks have changed to the direction of using the non-standard and the standard algorithm in parallel. In conclusion, I proposed categorizing rather than splitting the types of fraction division, the connection of non-standard and standard algorithm, and the need to prepare methods to pursue generalization and justification according to the common characteristics in the process of introducing standard algorithm.

Development and Validation of Yut-nori Program using Educational Programming Language (EPL) based on Computational Thinking (컴퓨팅 사고력 기반 교육용 프로그래밍 언어(EPL) 활용 윷놀이 프로그램 개발 및 타당성 검증)

  • JeongBeom, Song
    • Journal of Industrial Convergence
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    • v.21 no.2
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    • pp.103-109
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    • 2023
  • In Korea, software education is implemented from elementary school. As a representative software education tool for elementary schools, various chess games reconstructed based on the rules of Western chess games are being used. On the other hand, Yutnori, one of our traditional games, also includes elements of software education, so research on this is needed. Therefore, in this study, a Yutnori program based on computational thinking using an educational programming language, Entry, and a turtle robot was developed and its validity verified. As a result of the validity verification, the CVR value was higher than 0.7 in the degree of agreement with the subject achievement standard (3 questions), the appropriateness of learning materials (4 questions), and the possibility of class application (3 questions). Therefore, it could be judged that the learning program developed in this study has a high level of agreement with the subject achievement standards, appropriate learning materials, and high possibility of being applied to classes. In order to generalize this content in the future, the effectiveness will need to be verified, and experimental research will be needed to understand this.

Vibration Suppression Control of 3-mass Inertia System by using LMI Theory (LMI 이론에 의한 삼관성 시스템의 진동억제)

  • 최연욱
    • Journal of the Institute of Convergence Signal Processing
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    • v.2 no.3
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    • pp.65-72
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    • 2001
  • Generally, it is said that control of the inertia system is to track the reference input quickly while suppressing the vibration due to the system itself. In this case, the difficulty fur designing a controller is caused by modeling uncertainty and parameter variation. The purpose of this paper is to propose a design method to suppress the vibration of three-mass inertia system based on the LMI theory. That is, the generalized plant model by which we can cope with conservativeness of the existing H$_{*}$ theory is proposed and analyzed in terms of LMI. The results of simulation fur the three-mass inertia system show that the proposed design approach is quite effective under the given situations.

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Study on Player Attitudes Regarding Gender in the MMORPG Customization Process (MMORPG 커스터마이징에서 젠더에 대한 플레이어 태도 연구)

  • Paik, Chul-Ho
    • Journal of Korea Game Society
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    • v.12 no.1
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    • pp.91-101
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    • 2012
  • The avatar gender, the basic element that constitutes the identity of the MMORPG player, can be created by the player due to the nature of the game through the system provided within the game. Thus, players exhibit a different attitude from reality regarding avatar gender. Gender customization in virtual space is an expansion of the identity in an effort to express one's identity in various ways. A number of users manage avatars with the opposite gender where it was found that male players preferred the female avatar persona. In this study, the player attitudes regarding gender was analyzed using Q methodology and the motivational factors for gender swapping and the generalization phenomenon was determined. This study will be significant as critical standards in the usability evaluation of the MMORPG customization system.

A Study of Robot Curriculum to consider Conceptual Understanding and Learning Activities for Elementary School (개념이해와 학습활동을 고려한 초등학교 로봇 교육과정 모델 개발에 관한 연구)

  • Kim, Chul
    • Journal of The Korean Association of Information Education
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    • v.20 no.6
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    • pp.645-654
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    • 2016
  • As the 4th industrial revolution has progressed in recent years, the importance of robot education in elementary school education is increasing. In this paper, I suggested robot education framework to consider conceptual understanding and learning activities based on the 2014, 2015 KAIE software education standard curriculum for elementary school. The framework is reconstructed the 7 stages, In order to generalize the standardized model of the software curriculum, the achievement criteria should be prepared according to the content system of the curriculum considering the conceptual understanding and learning activities proposed in this paper, and if the educational contents are developed and utilized, it is expected to contribute to the activation of robot education in addition to elementary school software education.

A Preliminary Investigation about the Priority Decision Criteria on Removal of Weirs (보 철거 우선순위 결정을 위한 기초 조사 연구)

  • Rhee Dong Sop;Woo Hyoseop;Ahn Hong Kyu;Kwon Bo Ae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.1280-1285
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    • 2005
  • 하천 수위 유지나 용수 취수 목적으로 사용되는 보는 현재 국내에 약 18,000여개 정도가 설치되어 있으며, 대부분 용수 공급 시설로 이용되고 있다. 하천에 보가 축조되면 하천생태통로의 차단, 보 상류부 수질 악화, 수변 생물서식처의 변화, 경관 훼손 등의 문제가 발생하게 되지만, 이를 해결하기 위한 방법은 극히 일부 보에 생태 통로로서 설치되는 어도 외에는 거의 혀는 실정이다. 최근 농경지 도시화, 경작 방식의 변화, 취수시설물 통폐합, 시설 노후화 등으로 매년 수십 개 이상의 보가 폐기되고 있으나, 폐기된 보는 천거되지 않고 하천에 존치되어 여전히 문제를 발생시키고 있다. 외국의 경우에도 기능을 상실한 보/소형 댐을 보 철거 의사 결정 과정을 통해서 철거를 결정한 후 철거를 시행하고 있으며, 기 철거 사례를 분석한 결과를 바탕으로 과학적이고 공학적인 보 철거 우선 순위 결정 방법을 제시하기 위해서 노력하고 있다. 국내의 경우 아직 보 철거를 통한 환경 복원이 일반화 되어 있지는 않지만, 그 필요성이 점차 증가하고 있으며, 이를 위해 국내 환경에 적합한 보 철거 의사 결정 과정 마련을 위한 연구 필요성이 같이 증가하고 있다. 본 연구는 보 철거를 통한 하천생태통로 복원 기술 개발을 위한 기초 연구의 일환으로 보 기능 저하 요인 파악을 위해 각 주요 수계에 설치된 보를 현장 조사하였다. 조사 결과 기능이 저하 중인 보로 판단되는 보는 분석하여 유형화하고, 요인별로 대표적인 예를 제시하여 이후 판단 자료로 활용할 수 있도록 하였다.

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Analysis for a TSP Construction Scheme over Sensor Networks (센서네트워크 상의 TSP 경로구성 방법에 대한 분석)

  • Kim, Joon-Mo
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.11
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    • pp.1-6
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    • 2010
  • In Sensor Networks, the problem of finding the optimal routing path dynamically, which passes through all terminals or nodes once per each, may come up. Providing a generalized scheme of approximations that can be applied to the kind of problems, and formulating the bounds of the run time and the results of the algorithm made from the scheme, one may evaluate mathematically the routing path formed in a given network. This paper, dealing with Euclidean TSP(Euclidean Travelling Sales Person) that represents such problems, provides the scheme for constructing the approximated Euclidean TSP by parallel computing, and the ground for determining the difference between the approximated Euclidean TSP produced from the scheme and the optimal Euclidean TSP.

Confidence Intervals for High Quantiles of Heavy-Tailed Distributions (꼬리가 두꺼운 분포의 고분위수에 대한 신뢰구간)

  • Kim, Ji-Hyun
    • The Korean Journal of Applied Statistics
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    • v.27 no.3
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    • pp.461-473
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    • 2014
  • We consider condence intervals for high quantiles of heavy-tailed distribution. The asymptotic condence intervals based on the limiting distribution of estimators are considered together with bootstrap condence intervals. We can also apply a non-parametric, parametric and semi-parametric approach to each of these two kinds of condence intervals. We considered 11 condence intervals and compared their performance in actual coverage probability and the length of condence intervals. Simulation study shows that two condence intervals (the semi-parametric asymptotic condence interval and the semi-parametric bootstrap condence interval using pivotal quantity) are relatively more stable under the criterion of actual coverage probability.