• 제목/요약/키워드: Education Input

검색결과 676건 처리시간 0.029초

예비교사들이 프로그래밍 학습 시 발생시키는 오류 데이터 분석 (Analysis of error data generated by prospective teachers in programming learning)

  • 문외식
    • 정보교육학회논문지
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    • 제22권2호
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    • pp.205-212
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    • 2018
  • 예비교사들의 소프트웨어교육 능력을 키우기 위한 방안으로 정규 교과시간에 두 종류의 프로그래밍 도구(파이썬, 스크래치)를 이용하여 프로그래밍 학습을 각각 실시하였다. 프로그래밍 학습에서 지속적으로 흥미와 성취감 및 창의성을 저해하는 요소인 각종 오류들의 종류들을 수집하고 유형별로 분석하였다. 분석된 자료들을 활용하면 향후 예비교사들이 초등학교에서 가르쳐야 할 소프트웨어교육에서 발생 가능한 오류들을 줄일 수 있도록 대처할 수 있는 능력을 키울 수 있어 최적의 학습효과를 올릴 수 있다. 본 연구에서는 평균적으로 텍스트를 입력하는 기존 형태의 언어와 불럭을 조립하는 형태의 언어 모두에서 프로그래밍 시 가장 많은 오류를 발생시키는 유형이 논리오류(37.63%)로 가장 많았다. 또한, 두 언어에서 차이점이 많이 나타나는 세부적인 오류는 문법 등의 사용미숙, 오타 등으로 인한 단순오류가 파이썬이 14.3%, 스크래치가 3.5%로 큰 차이가 있음을 알 수 있었다.

송전망 이용요금 산정을 위한 교육용 시뮬레이터 개발 (A Windows-based Software for Education and Training of Transmission Network Charge)

  • 김현홍;조기선;정윤원;박종배;신중린
    • 전기학회논문지
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    • 제56권8호
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    • pp.1373-1381
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    • 2007
  • This paper presents a graphical windows-based software for the education and training of transmission network charge. The motivation for the development of the simulator is to provide students with a simple and useable tool for gaining an intuitive feel for transmission network charge. The developed simulator consists of the main module (MMI, GUI), the power flow module (PF), the power flow tracing module (PFT), and usage cost DB module (UCD). Each module has a separate graphical and interactive interfacing window. The developed simulator provides with two power system analysis methods (i.e., DC-PF and Modified DC-PF) and supports the PSS/E input data format to load input data of power system. Also, power flow tracing can be calculate using four methods such as "Felix Wu", "Modified Felix Wu", "DCLF ICRP", and "Reverse MW mile". Results of calculation for transmission usage cost are displayed and compared on the window through the table and/or chart. Therefore, the developed simulator can be utilize as a useful tool for effective education and training of transmission network charge.

Reconstruction of Terrestrial Water Storage of GRACE/GFO Using Convolutional Neural Network and Climate Data

  • Jeon, Woohyu;Kim, Jae-Seung;Seo, Ki-Weon
    • 한국지구과학회지
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    • 제42권4호
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    • pp.445-458
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    • 2021
  • Gravity Recovery and Climate Experiment (GRACE) gravimeter satellites observed the Earth gravity field with unprecedented accuracy since 2002. After the termination of GRACE mission, GRACE Follow-on (GFO) satellites successively observe global gravity field, but there is missing period between GRACE and GFO about one year. Many previous studies estimated terrestrial water storage (TWS) changes using hydrological models, vertical displacements from global navigation satellite system observations, altimetry, and satellite laser ranging for a continuity of GRACE and GFO data. Recently, in order to predict TWS changes, various machine learning methods are developed such as artificial neural network and multi-linear regression. Previous studies used hydrological and climate data simultaneously as input data of the learning process. Further, they excluded linear trends in input data and GRACE/GFO data because the trend components obtained from GRACE/GFO data were assumed to be the same for other periods. However, hydrological models include high uncertainties, and observational period of GRACE/GFO is not long enough to estimate reliable TWS trends. In this study, we used convolutional neural networks (CNN) method incorporating only climate data set (temperature, evaporation, and precipitation) to predict TWS variations in the missing period of GRACE/GFO. We also make CNN model learn the linear trend of GRACE/GFO data. In most river basins considered in this study, our CNN model successfully predicts seasonal and long-term variations of TWS change.

Research and development of haptic simulator for Dental education using Virtual reality and User motion

  • Lee, Sang-Hyun
    • International Journal of Advanced Culture Technology
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    • 제6권4호
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    • pp.52-57
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    • 2018
  • The purpose of this paper is to develop simulations that can be used for virtual education in dentistry. The virtual education to be developed will be developed with clinical training and actual case data of tooth extraction. This development goal is to allow dental students to learn the necessary surgical techniques at the point of their choice, not going into the operating room, away from time, space, and physical limits. I want to develop content using VR. Oculus Rift HMD, Optical Based Outside-in Tracking System, Oculus Touch Motion Controller, and Headset as Input / Output Device. In this configuration, the optimization method is applied convergent, and when the operation of the VR contents is performed, the content data is extracted from the interaction analysis formed in the VR engine, and the data is processed by the content algorithm. It also computes events and dental operations generated within the 3D engine programming and generates corresponding events through data processing according to the input signal. The visualization information is output to the HMD using the rendering information. In addition, the operating room environment was constructed by studying lighting and material for actual operating room environment. We applied the ratio of actual space to virtual space and the ratio between character and actual person to create a spatial composition at a similar rate to actual space.

다중 객체가 존재하는 ERP 영상에서 행동 인식 모델 성능 향상을 위한 전처리 기법 (Preprocessing Technique for Improving Action Recognition Performance in ERP Video with Multiple Objects)

  • 박은수;김승환;류은석
    • 방송공학회논문지
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    • 제25권3호
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    • pp.374-385
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    • 2020
  • 본 논문에서 Equirectangular Projection(ERP) 영상으로 행동 인식을 할 때의 문제점들을 해결할 수 있는 전처리 기법을 제안한다. 본 논문에서 제안하는 전처리 기법은 사람 객체를 행동의 주체 즉, Object of Interest(OOI)로 가정하고, OOI의 주변 영역을 ROI로 가정한다. 전처리 기법은 3개의 모듈로 이루어져 있다. I) 객체 인식 모델로 영상 내 사람 객체를 인식한다. II) 입력 영상에서 saliency map을 생성한다. III) 인식된 사람 객체와 saliency map을 이용하여 행동의 주체를 선정한다. 이후 행동 인식 모델에 선정된 행동의 주체 boundary box를 입력하여 행동 인식 성능을 높인다. 제안하는 전처리기법을 사용한 데이터를 행동 인식 모델에 입력한 방법의 성능과 원본 ERP 영상을 입력한 방법의 성능을 비교하였을 때 최대 99.6%의 성능 향상을 보이며, OOI가 감지되는 프레임만을 추출하였을 때 행동 관련 영상 요약의 효과도 볼 수 있다.

Dynamic response and waterproof property of tunnel segmental lining subjected to earthquake action

  • Yan, Qixiang;Bao, Rui;Chen, Hang;Li, Binjia;Chen, Wenyu;Dai, Yongwen;Zhou, Hongyuan
    • Earthquakes and Structures
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    • 제17권4호
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    • pp.411-424
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    • 2019
  • In this study, a numerical model of a shield tunnel with an assembled segmental lining was built. The seismic response of the segmental lining of the section of the shield tunnel in Line 1 of the Chengdu Metro is analyzed as it passes through the interface of sand-cobble and mudstone layers. To do so, the node-stress seismic-motion input method was used to input the seismic motion measured during the 2008 Wenchuan earthquake, and the joint openings and dislocations associated with the earthquake action were obtained. With reference to the Ethylene-Propylene-Diene Monomer (EPDM) sealing gaskets used in the shield tunnels in the Chengdu Metro, numerical simulation was applied to analyze the contact pressure along the seepage paths and the waterproof property under different joint openings and dislocations. A laboratory test on the elastic sealing gasket was also conducted to study its waterproof property. The test results accord well with the numerical results and the occurrence of water seepage in the section of the shield tunnel in Line 1 of the Chengdu Metro during the 2008 Wenchuan earthquake was verified. These research results demonstrate the deformation of segmental joint under earthquake, also demonstrate the relationship between segmental joint deformation and waterproof property.

모바일 플랫폼 교육 콘텐츠 지원을 위한 손 글씨 기반 텍스트 인터페이스 설계 (Design of Handwriting-based Text Interface for Support of Mobile Platform Education Contents)

  • 조윤식;조세홍;김진모
    • 한국컴퓨터그래픽스학회논문지
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    • 제27권5호
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    • pp.81-89
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    • 2021
  • 본 연구는 모바일 플랫폼 환경에서 언어 기반의 교육 콘텐츠 지원을 위한 텍스트 인터페이스를 제안한다. 이는 손 글씨를 통해 단어를 작성하는 입력 구조로 딥 러닝을 활용한다. 모바일 플랫폼 콘텐츠의 버튼, 메뉴 등을 활용한 GUI (Graphical User Interface)와 화면 터치, 클릭, 드래그 등의 입력 방식을 기반으로 손 글씨를 사용자로부터 직접 입력하여 처리할 수 있는 텍스트 인터페이스를 설계한다. 이는 EMNIST (Extended Modified National Institute of Standards and Technology database) 데이터 셋과 훈련된 CNN (Convolutional Neural Network)을 사용하여 알파벳 텍스트를 분류하고 조합하여 단어를 완성한다. 최종적으로 영어 단어 교육 콘텐츠를 직접 제작하여 제안하는 인터페이스의 학습 지원 효과를 분석하고 만족도를 비교하기 위한 실험을 진행한다. 동일한 교육 환경에서 기존의 키 패드 방식의 인터페이스와 제안하는 손 글씨 기반 텍스트 인터페이스를 서로 체험한 사용자들이 제시하는 영어 단어를 학습하는 능력을 비교하고, 인터페이스를 조작하여 단어를 작성하는 과정에서의 전체적인 만족도를 분석, 확인하도록 한다.

Research on Family Life Education Programs in Korea: A Content Analysis of Themes and Theories

  • Lee, So-Young;Mancini, Jay A.;Ok, Sun-Wha
    • International Journal of Human Ecology
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    • 제7권2호
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    • pp.97-110
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    • 2006
  • A conceptual framework, based on a curriculum model of family life education content, and on a schema for analyzing explicit use of theory, was developed to discern the substantive themes of programs and the role of theories in publications on programs for families in the Korean family studies literature. Seventy two journal articles published between 1990 and 2002 were analyzed. The results revealed that the Korean family life education programs dealt with the breadth of topics, but most particularly internal family dynamics and interpersonal relationships, and utilized theoretical concepts as input and output in a different level: explicit, implicit, or no use of theories. Implications for future research and practice in Korean family life education are discussed, including gaps in the substantive foci of programs, and aligning programs more closely with theory.

LOW NOISE AMPLIFIER USING ELECTROMAGNETIC SIMULATOR AT U-NII FREQUENCY BAND

  • Kim, Hak-Sung;Kim, Cheol-Su;Kim, Cheol-Su;Lee, Byung-Jae;Lee, Jong-Chul;Kim, Nam-Young
    • 한국전자파학회:학술대회논문집
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    • 한국전자파학회 2000년도 종합학술발표회 논문집 Vol.10 No.1
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    • pp.225-228
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    • 2000
  • In this paper, the design for a low noise amplifier with the EM simulation is presented. The ATF36077 pHEMT device is applied to design LNA for U-NII frequency band (5 GHz ~ 6 GHz). The matching networks have been designed by the only open ended stub in order to reduce parasitic effects generated from a via structure. Through EM simulator, the simulation result shows that the linear gain (@5.5 GHz) is over 10 dB, input return loss and output return loss (@ 5.5 GHz) are a below 10 dB respectively, and the 3rd order intercept point is about 17 dBm.

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고속 솔레노이드의 응답특성에 관한 연구 (A Study on the Response Characteristics of a High Speed Solenoid)

  • 조규학
    • 수산해양교육연구
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    • 제12권2호
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    • pp.142-151
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    • 2000
  • The studies on the electronic control fuel injection system for a DI diesel engine have done for reducing the exhaust emission and improving fuel consumption. The electronic control fuel injection system is classified into a common rail system, a unit injector system and a high pressure injection system. The characteristics of these systems are largely depends on the operating characteristics of its solenoid that have high speed on-off operation. In order to improve these characteristics of fuel injection system, it is necessary to design the optimal shape of solenoid and select the input method of its power source. It was proposed HELENOID, COLENOID, DISOLE, and Multipole Solenoid in the studies of design for the optimal shape of solenoid. The studies on the energizing method, input method for power of solenoid were dealt with the conventional energizing method, the chopping method and the pre-energizing method. In order to find out the high response characteristics of solenoid, it is necessary to test the performance of optimally designed solenoid with a new energizing method. In this paper, the solenoid of multi-pole type with plat armature and its power control unit to control input current by the chopping method designed, and its response tests were performed according to its energizing conditions. As a result, the maximum input current for solenoid was controlled by the period of first stage exciting current and chopping duty ratio of control stage exciting current, and the fastest "on" time was able to get 0.46ms. The conditions of fastest "on" time was 0.3ms for first stage exciting current, 0.16ms for control exciting current and 75% for chopping duty ratio.

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