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경기도 초등 혁신학교와 일반학교의 교실수업형태의 차이 및 변화과정 분석
송영범(Young-Beom, Song),강경석(Kyung-Seok, Kang) 중앙대학교 한국교육문제연구소 2020 한국교육문제연구 Vol.38 No.1
본 연구의 목적은 혁신학교와 일반학교의 교실수업형태(교수자 중심, 학습자 중심)에 대한 현 실태를 분석하여 수업혁신과 공교육 개선을 위해 접근해야 할 교실수업형태에 대한 논의점과 시사점을 제시하기 위함이다. 이를 위해 다음과 같이 연구문제를 설정하였다. 첫째, 혁신학교와 일반학교간 교실수업 형태는 어떠한 차이가 있는가? 둘째, 혁신학교와 일반학교 각각의 교실수업형태는 어떠한 변화를 보여왔는가? 셋째, 혁신학교와 일반학교간 교실수업형태의 차이는 어떠한 변화를 보여 왔는가? 본 연구 결과는 다음과 같다. 첫째, 차이분석 결과, 교수자 중심 수업형태의 경우 1, 2차년도에는 일반학교가 높았던 것이 3차년도에는 유의한 차이가 없었으며, 학습자 중심 수업형태의 경우 1, 2차년도에 유의한 차이가 없었던 것이 3차년도에 혁신학교가 더 높게 나타났다. 둘째, 비조건모형 분석 결과, 교수자 중심 수업형태의 경우 혁신학교와 일반학교 모두 초기값에 유의한 차이가 있었으나, 변화율에서는 일반학교에서만 부적 변화를 확인하였다. 학습자 중심 수업형태의 경우에 혁신학교와 일반학교 모두 초기값에 유의한 차이가 있었으며, 변화율에서 일반학교만 부적 변화를 확인하였다. 셋째, 조건모형 분석 결과, 교수자 중심 수업형태의 경우 혁신학교와 일반학교간 초기값의 차이와 그 변화의 유의성을 확인할 수 있었으나, 학습자 중심 수업형태의 경우에는 초기값과 변화율 모두 유의하지 않았다. The purpose of this study is to analyze the current status of class instruction in innovative elementary schools and regular elementary schools, and to present discussion points and implications for class instruction type that should be approached in order to improve class instruction and public education. To this end, research questions were set up as follows. First, what are the differences of class instruction types between innovative schools and regular schools? Second, how have the class instruction types changed by each school? Third, how have the differences of class instruction types between innovative schools and regular schools changed? The results of this study were as follows. First, as a result of the difference analysis, in the case of teacher-centered type, regular schools were higher in the first and second years, but there was no significant difference in the third year. In the case of learner-centered type, there was no significant difference in the first and second years, but in the third year innovative schools were higher. Second, as a result of the non-conditional model analysis, in the case of teacher-centered type, there were significant differences in the initial status of both innovative and regular schools, but in the rate of change, there was negative changes in regular schools. In the case of learner-centered type, both innovative and regular schools had significant differences in initial status, and only the regular schools had an negative changes in the rate of change. Third, as a result of the conditional model analysis, in the case of teacher-centered type, there were significant differences in both the initial status and the rate of change between the innovative schools and the regular schools. In the case of learner-centered type, neither the initial status nor the rate of change were significant.
삼차원 의학 영상에서 시각적으로 향상된 정합을 사용한 프랙탈 부호화
안창범,송영철,신흥식,Ahn, C.B,Song, Y.C,Shin, H.S 대한의용생체공학회 1996 의공학회지 Vol.17 No.3
A new three dimensional fractal coding is proposed with a perceptually enhanced matching. Since most of medical images (e.g. computed tomoyaphy or magnetic resonance images) have three dimensional characters, searching regions are extended to adjacent slices. For a perceptually enhanced matching, a high frequency boost filter is used for pre-filtering images to be encoded, and a least mean square error matching is applied to the edge enhanced Images rather than the original images. From simulation with magnetic resonance images($255\times255$, 8bits/pixel), reconstructed images by the proposed compression algorithm show much improved subjective image quality with higher peak signnal-to-noise ratio compared to those by existing fractal coding algorithms at compression ratios of about 10.
향상된 정수 기반 웨이블릿 변환을 이용한 무손실에 가까운 영상 압축
안창범(Ahn C . B .),송영철(Song Y . C .) 한국화상학회 1997 한국화상학회지 Vol.3 No.1
N/A An enhanced version of integer-based wavelet transform(TS Transform) coding is proposed for near lossless image compression. Due to flexibility in representing nonstationary image signals in time and frequency domains and ability in adapting to human visual characteristics, wavelet transform has unique advantages over other transforms currently used in image compression. In the Integer-based wavelet transform compression, original image is decomposed into multi-scalar bands. For the lowest band, a predictor is designed and error signal is entropy coded. For higher scalar bands, runlength coding for zero runs is employed with Huffman coding. In order to perform near lossless compression, pre-quantization of the original image is applied and the quantized image is losslessly encoded. To overcome visual degradation resulting from pre-quantization, a new pre-quantization scheme using multiple quantization tables is proposed. From simulation (512×512 size, 256 graylevel image) reconstructed images by the proposed algorithm show higher peak signal-to-noise ratio (PSNR) compared to those obtained by a float-point-based wavelet transform and the JPEG. Peak error in the reconstructed images by the integer-based wavelet transform is also much lower than those obtained by the JPEG and the float-point-based wavelet transform.