• 제목/요약/키워드: measure shadowing

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섀도잉(shadowing)기법을 활용한 한국어 수업 방안 (Measures on Improving Korean Language Skills by Using Shadowing Techniques)

  • 남지현
    • 한국어교육
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    • 제29권2호
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    • pp.49-72
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    • 2018
  • The purpose of this study is to introduce an efficient measure in Korean language education for learners of Korean by applying shadowing techniques which focus on improving not only listening and speaking skills but also reading and writing skills. First of all, the study discusses about the definition of shadowing along with the effect of shadowing. The second part will be about examining the proposed method related to shadowing technique which is comprised of original shadowing techniques and other techniques transformed from the original. Thirdly, the paper will be discussing background information of the shadowing technique in previous researches and experiments using shadowing techniques in Korean language education. Finally, there will be an introduction of learning measures that apply to skill unification. Most of the previous researches of the shadowing technique were limited to a few students with only mid-to-high level learners while this method could cover up to a wide range of learners. The most effective way of learning a foreign language would firstly be the suggested method and the focus should be on repetition and practice of the learners.

EXPANDING MEASURES FOR HOMEOMORPHISMS WITH EVENTUALLY SHADOWING PROPERTY

  • Dong, Meihua;Lee, Keonhee;Nguyen, Ngocthach
    • 대한수학회지
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    • 제57권4호
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    • pp.935-955
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    • 2020
  • In this paper we present a measurable version of the Smale's spectral decomposition theorem for homeomorphisms on compact metric spaces. More precisely, we prove that if a homeomorphism f on a compact metric space X is invariantly measure expanding on its chain recurrent set CR(f) and has the eventually shadowing property on CR(f), then f has the spectral decomposition. Moreover we show that f is invariantly measure expanding on X if and only if its restriction on CR(f) is invariantly measure expanding. Using this, we characterize the measure expanding diffeomorphisms on compact smooth manifolds via the notion of Ω-stability.

도심지 무선통신의 전파예측모델에 관한 연구 (A Study on the Propagation Prediction Model of Wireless Communication in an Urban Area)

  • 정성한;배성수;오영환
    • 한국통신학회논문지
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    • 제24권12A호
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    • pp.1883-1890
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    • 1999
  • 도심지 무선통신에서 전파전파 특성(Wave Propagation Characteristics)을 정확하게 예측하는 것은 통신 서비스 영역 결정이나 최적의 기지국 선정 및 셀 설계 등을 위해 매우 중요하다. 도심지역에서 건물 차폐영역 특성을 이용한 전파예측 모델(Propagation Prediction Model)로 CCIR모델이 있다. 이 모델은 기지국과 이동국간의 차폐 영향을 직선평면형태에서의 건물 차폐율로 나타내고 있다. 그러나 건물이 밀집되어 있는 지역이나 가시선상에 구릉이나 산이 있는 지형여건을 고려하지 않았기 때문에 예측 오차가 많이 발생한다. 본 논문에서는 이러한 문제점을 개선하기 위한 전파예측모델을 제안하였다. 제안한 모델에서는 가시선상에서 가장 큰 영향을 미치는 거물차폐에 대한 블록수와 지형여건을 고려한 건물의 차폐높이에 대한 관계식을 통계 패키지 SAS(Statistical Analysis System)로 구하였다. 그리고 고밀도, 중밀도, 저밀도 지역에서 서비스 중인 무선통신 기지국의 전계레벨 수신세기를 실측한 후, 제안한 모델과 CCIR모델의 예측 결과를 비교 분석하였다. 실측치와 비교한 결과, CCIR모델보다 제안한 모델이 고밀도 지역에서 9.71dB, 중밀도 지역\ulcorner서 9.66dB, 저밀도 지역에서 4.02dB 개선되었다.

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DS/CDMA 저궤도 위성 통신 시스템의 패킷 초기 동기 연구 (Packet Acquisition for DS/CDMA-based LEO Satellite communication System)

  • 김동희;김영초;이상운;황금찬
    • 한국통신학회논문지
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    • 제25권5B호
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    • pp.871-878
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    • 2000
  • 이 논문은 저궤도 이동 위성 통신에서 나타나는 심각한 도플러 천이와 페이딩을 극복하면서 패킷 전송효율을 증가시킬 수 있는 DS/CDMA 시스템의 초기동기기법으로 분할 정합 여파기/참조 여파기 기법을 제안한다. 정합여파기의 정합구간을 분할하는 분할 정합여파기를 이용하여 극심한 도플러 천이를 극복하였으며, 참조여파기를 이용하여 시변하는 간섭과 페이딩에 강인한 초기동기를 이룰 수 있다. 성능분석의 척도로써 평균초기동기시간과 패킷 전송효율을 이용하며, 도플러 천이와 칩당 에너지대 잡음비, 사용자 이동속도, 음영 표준편차, 패킷 프리앰블내 심볼수 등과의 관계를 고찰한다.

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교통소음의 모노럴과 바이노럴 청감 비교 연구 I: 측정 및 분석 (Comparison of Human Responses to Transportation Noise in Monaural and Binaural Hearing, Part I: Measurement and Analysis)

  • 김재환;임창우;정원태;홍지영;정완섭;이수갑
    • 한국소음진동공학회논문집
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    • 제14권12호
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    • pp.1268-1278
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    • 2004
  • Measurement of noise is not only to know the information of acoustic pressure but to assess human response to noise. To find human response to transportation noise through the laboratory study we have to measure and reproduce noise. The method of noise reproduction is largely divided into monaural and binaural techniques. But human fundamentally hears sound through both ears, referred as binaural hearing. Binaural signal is different from monaural signal because it includes more information of physical phenomena like acoustical reflection, diffraction and refraction. Especially head and pinna play an important role in perceiving change of signal origin. So, the amplitude of binaural signal is higher than that of monaural signal and spectrum of both signals is discriminated. Most of assessment and regulation of transportation noise are, however, based on monaural measurement techniques. The quantitative difference between monaural and binaural measurement is investigated in this study. Comparison on several transportation noisesshows defect of information in monaural measurements.

대기 에어로졸 검댕입자 측정을 위한 두 aethalometer의 상호비교 (Inter-comparison of Two Aethalometers for Aerosol Black Carbon Measurements)

  • 정정훈;박승식;윤관훈;조성용;김승재
    • 한국대기환경학회지
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    • 제27권2호
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    • pp.201-208
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    • 2011
  • Recently, a real-time, pocket-sized aethalometer (microAeth$^{(R)}$ model AE51) has been developed by Magee Scientific Inc. for measuring the concentration of black carbon in the atmosphere. In this study, two aethalometers, models AE-16 and AE-51, which measure the optical absorption of carbon particles at infrared 880 nm, were operated at time interval of 5-min between January 9 and February 10, 2010 at an urban site of Gwangju, to compare the accuracy of black carbon (BC) concentrations reported from the AE-51 model and to investigate reasonable sampling time of filter media in the AE-51. The air samples in the AE-51 and AE-16 models are collected on T60 (Teflon coated glass fiber) filter media (filter spot area: 0.07 $cm^2$) and quartz fiber roll-tape filter (filter spot area: 1.67 $cm^2$), respectively. Real-time measurement results indicate that when the filters were clean, the AE-51 BC was greater than or similar to the AE-16 BC data. However as the filter spots become darker, the AE-16 BC concentrations were higher than the AE-51 BC data and the difference in the BC concentrations from two AE models becomes gradually increased. Relative error in the AE-51 and AE-16 BC concentrations showed significance difference depending on used time of the filter in the AE-51 model, weather pattern, levels of air pollution, etc, ranging from 11.5% (used time of the filter in AE-51: 1,595 min) to 52.5% (used time of the filter in AE-51: 2,085 min). When considering the used time of one filter ticket in the AE-51 model and difference (or relative error %) between AE-16 and AE-51 BC concentrations, it is recommended that the standard sampling time per one filter ticket within the AE-51 model be less than approximately 24 hr (1,440 min) under the normal weather conditions except for severe haze and mist events.