• Title/Summary/Keyword: EduTech

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Structure of the Mixed Neural Networks Based On Orthogonal Basis Functions (직교 기저함수 기반의 혼합 신경회로망 구조)

  • Kim, Seong-Joo;Seo, Jae-Yong;Cho, Hyun-Chan;Kim, Seong-Hyun;Kim, Hong-Tae
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.39 no.6
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    • pp.47-52
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    • 2002
  • The wavelet functions are originated from scaling functions and can be used as activation function in the hidden node of the network by deciding two parameters such as scale and center. In this paper, we would like to propose the mixed structure. When we compose the WNN using wavelet functions, we propose to set a single scale function as a node function together. The properties of the proposed structure is that while one scale function approximates the target function roughly, the other wavelet functions approximate it finely. During the determination of the parameters, the wavelet functions can be determined by the global search algorithm such as genetic algorithm to be suitable for the suggested problem. Finally, we use the back-propagation algorithm in the learning of the weights.

Optimal Structure of Modular Wavelet Network Using Genetic Algorithm (유전 알고리즘을 이용한 모듈라 웨이블릿 신경망의 최적 구조 설계)

  • Seo, Jae-Yong;Cho, Hyun-Chan;Kim, Yong-Taek;Jeon, Hong-Tae
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.38 no.5
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    • pp.7-13
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    • 2001
  • Modular wavelet neural network combining wavelet theory and modular concept based on single layer neural network have been proposed as an alternative to conventional wavelet neural network and kind of modular network. In this paper, an effective method to construct an optimal modular wavelet network is proposed using genetic algorithm. Genetic Algorithm is used to determine dilations and translations of wavelet basis functions of wavelet neural network in each module. We apply the proposed algorithm to approximation problem and evaluate the effectiveness of the proposed system and algorithm.

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On Designing Optimal Structure of Modular Wavelet Neural Network with Time-Frequency Analysis (시간-주파수 분석을 이용한 모듈라 웨이블렛 신경망의 최적 구조 설계)

  • Seo, Jae-Yong;Kim, Yong-Taek;Cho, Hyun-Chan;Jeon, Hong-Tae
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.38 no.2
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    • pp.12-19
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    • 2001
  • In this paper, we propose the new algorithm which can design on the optimal structure of modular system. This system is composed to the wavelet neural network in order to simplify the structure of modular system and use the time-frequency analysis. We will determine the number of module and node of each sub-system using the proposed algorithm. This algorithm provides the methodology, which we will design optimal structure of modular wavelet neural network through analyzing the character of system. We apply the proposed new structure and algorithm to approximation problem and evaluate the effectiveness of the proposed system and algorithm.

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Analysis of Durability of Vehicle Chassis Part in Virtual Test Lab (가상내구시험을 통한 차량 샤시 부품 내구성 예측에 관한 연구)

  • Cho, ByungKwan;Ha, Jungho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.6
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    • pp.747-752
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    • 2013
  • Recently, virtual test laboratory techniques have been widely used to reduce vehicle development costs and time. In this study, a virtual durability test process using multibody dynamics simulation and fatigue simulation is proposed. The flexible multibody model of the front half of a car suspension is solved using road loads that are measured from durability test courses such as a Belgian road. To verify the simulation results, the measured loads of components and simulation results are collated.

Analysis of Edu-Tech Trends Using Virtual and Augmented Reality (가상·증강현실을 활용한 에듀테크 동향 분석)

  • Hwang, Eui-Chul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.115-116
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    • 2021
  • 5세대(5G) 이동통신망의 보급과 코로나19 여파로 비대면 시대가 열리면서 가상 증강현실(VR·AR)을 기반으로 한 '실감(XR·Extended Reality)경제가 본격화 되었다. 가상증강현실의 적용분야로는 게임·영화 등 엔터테인먼트, 제조업, 쇼핑 및 전자상거래, 병원·의료기기, 고객서비스, 지식서비스교육 분야 등이 있다. 본 논문은 VR·AR&교육콘텐츠를 키워드로 최근 3년(2018.1.1.~2020.12.31.)간 중앙지, 경제지 등 54개 언론사 기사를 빅카인즈와 데이터랩을 이용하여 관계도 분석, 월간 키워드 트렌드, 연관어 분석을 하였다. 'VR, AR, 에듀테크'를 키워드로 뉴스 검색결과 63,959건 중 '에듀테크' 검색결과 2018년 632건, 2019년 1043건, 2020년 2389건으로 해마다 급 상승하였다. '(AR+VR)AND 교육콘텐츠'에 대한 검색 결과 연관성(키워드 빈도수)이 높은 키워드로는 증강현실(120), 가상현실(116), 인공지능(114), 에듀테크(100), 코로나19(66), 실감형(65), 아이들(61), VR·AR(56), ICT(35), 빅데이터(25) 순으로 가상·증강현실 기술 발전, 코로나19의 장기화, 교육의 효율성으로 에듀테크 분야의 활용도가 급격히 증가함을 확인할 수 있었다.

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OMR Sheet Recognition Algorithm Using QR code Recognition and Perspective Transform (QR 코드 인식 및 투영 변환을 이용한 OMR 인식 알고리즘)

  • Heo, Sang Hyung;Kwon, Seong-Geun
    • Journal of Korea Multimedia Society
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    • v.21 no.4
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    • pp.464-470
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    • 2018
  • With the introduction of the e-learning since 2000, the place of the education has not been limited to off-line, but the range of it has become broader in online. The e-learning market has evolved steadily over time. With the advent of the term "Edu-tech", which means a combination of education and technology, various IT technologies have incorporated education. Particularly, the Korean education market collects patterns by computerizing the learning history in classes taught according to curriculums. Because of that environment, various personalized learning services have been developed which maximize the effect of the learning. These services have qualitative differences depending on how many data is accumulated and algorithms are developed for the precise analysis. The purpose of this study is to recognize and data-ize OMR marking by the most suitable method to convert analog data into digital data without harming the Korean education system.

Estimation of the successive cutting point spacing using grinding input conditions (연삭입력조건을 이용한 연속절삭날간격의 예측)

  • Lee Y.M.;Son J.H.;Jeong Y.C.;Bae D.W.;Son S.P.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.227-228
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    • 2006
  • In order to calculate the maximum undeformed chip thickness in grinding operation, it is necessary to estimate the successive cutting point spacing. In the past it is obtained by experiments. In this paper, the average successive cutting point spacing has been estimated using the given grinding input conditions.

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Synthesis of Dodecanethiol-Capped Nanoparticles Using Ionic Liquids (이온성 액체를 이용한 dodecanethiol로 안정화된 금속 나노입자 합성)

  • Lee, Young-Eun;Lee, Seong-Yun;You, Seong-Sik
    • Korean Chemical Engineering Research
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    • v.50 no.5
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    • pp.795-801
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    • 2012
  • Nanoparticles have received significant attention because of their unusual characteristics including high surface area to volume ratios. Thiol ligand have been used as stabilizers of metal nanoparticles since Brust et al. They reported the preparation method of ligand capped metal nanoparticles by protecting the nanoparticles with a self-assembled monolayer of dodecanethiolate. In this method, volatile organic compounds (VOCs) were used as sovents. This study was carried out to replace these VOCs with room temperature ionic liquids (RTILs). We used two type of ILs to prepare metal nanoparticles. One is a hydrophobic IL, [BMIM][[$PF_6$] (1-Butyl-3-methylimidazolium hexafluorophosphate) purchased from IL maker, C-Tri from Korea and the other one is a hydrophilic one, [BMIM][Cl] (1-Buthy-3-methylimdazolium chloride) sinthesized by us. In the case of preparing Ag and Au nanoparticles using [BMIM][Cl], we didn't use phase transition reagents and ethanol because it has hydrophilic property and preparing Au, Ag nanoparticles using [BMIM][[$PF_6$] the method is as same as Brust et al.'s except using [BMIM][[$PF_6$] instead of organic solvent because it has hydrophobic property. FT-IR and UV-vis, TEM, TGA analysis have been used in an attempt to determine the particle size and verify functional groups. The particle size obtained from TEM was very similar to those obtained by Brust et al. This is a clear example of ligand capped metal nanoparticles prepared using ionic liquids. And the experimental result demonstrated ionic liquids can act as a highly effective medium for the preparation and stabilization of gold and silver metal nanoparticles.