http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
하다마드 변환의 적응적 적용을 이용한 고속 움직임 예측 알고리즘
이혁,김종호,진순종,정제창,Lee, Hyuk,Kim, Jong-Ho,Jin, Soon-Jong,Jeong, Je-Chang 한국통신학회 2007 韓國通信學會論文誌 Vol.32 No.8c
본 논문에서는 $4{\times}4$ 단위의 하다마드 변환을 이용한 새롭고 효과적인 움직임 예측 알고리즘을 제안한다. 하다마드 변환은 덧셈과 뺄셈으로만 이루어져 있기 때문에 고속 알고리즘에 적합하다는 장점이 있다. 제안하는 알고리즘은 세 단계로 이루어져 있다. 먼저 하다마드 DC(Direct Current) 계수를 이용하여 움직임 추정의 조기종결여부를 블록의 특성에 적응적으로 적용하고 이전 프레임의 움직임 벡터를 이용할지를 결정한 다음, 하다마드 AC(Alternating Current) 계수를 이용하여 영상의 복잡도를 구하여 정합 스캔 순서를 적응적으로 결정한다. 마지막으로 제안하는 알고리즘을 MVFAST와 PMVFAST 알고리즘에 적용했다. 모의 실험 결과 제안하는 알고리즘은 계산 속도와 PSNR(Peak Signal-to-Noise Ratio) 면에서 MVFAST와 PMVFAST 알고리즘에 비해 매우 효율적임을 나타냈다. In this paper, we propose a new, effective, fast motion estimation algorithms using $4{\times}4$ pixels Hadamard transform. The Hadamard transform has the advantage of simplicity because it uses only addition and subtraction. Motion estimation is composed of three stages. First, it should be decided whether to terminate the search early and use a previous motion vector with DC(Direct Current) coefficients. Then the adaptive matching scan order for motion estimation should be determined according to the image complexity using AC(Alternating Current) coefficients. Experimentally, we adapted this algorithms to MVFAST and PMVFAST algorithms, and the proposed algorithms turn out to be very efficient in terms of computational speed while remaining almost the same in terms of PSNR(Peak Signal-to-Noise Ratio) compared to MVFAST and PMVFAST algorithms.
Reweighted L1 Minimization for Compressed Sensing
Hyuk Lee(이혁),Sunho Park(박선호),Byonghyo Shim(심병효) 한국방송·미디어공학회 2010 한국방송공학회 학술발표대회 논문집 Vol.2010 No.7
Recent work in compressed sensing theory shows that m×n independent and identically distributed sensing matrices whose entries are drawn independently from certain probability distributions guarantee exact recovery of a sparse signal with high probability even if m≪n. In particular, it is well understood that the L1 minimization algorithm is able to recover sparse signals from incomplete measurements. In this paper, we propose a novel sparse signal reconstruction method that is based on the reweighted L1 minimization via support recovery.
의사의 청진기 진찰과 환자의 부정적 감정 경험과의 관계
이혁 ( Hyuk Lee ),제민지 ( Min Ji Je ),천경주 ( Kyung Ju Chun ),이상옥 ( Sang Ok Lee ),장철훈 ( Chulhun Ludgerus Chang ),이창형 ( Chang Hyung Lee ),김성수 ( Sung Soo Kim ) 대한의료커뮤니케이션학회 2015 의료커뮤니케이션 Vol.10 No.2
Purpose: This study is to examine patients`` experiences of negative emotions during auscultation and to find out the reasons for the patients`` emotional experiences and differences according to gender and obesity. Methods: Questionnaire was administrated to two hundred adults. The questionnaire consists of items asking the respondents whether they have experienced negative emotions during a stethoscope examination, and what caused the emotions. Results: More than half of the respondents (69%) said that they have experienced negative emotions during auscultation, and the most frequently mentioned reason (64.5%) for their negative emotion was their discomfort of exposing their body. For those with no negative emotion, said that they (61.3%) did not have negative emotion because they believed that the auscultation was necessary. Many of them (51.6%) said that the reason why they did not feel uncomfortable was that their doctor had explained well the purpose of using a stethoscope. Women and those who experienced negative emotion preferred the same gender of a doctor for auscultation (p=0.00, p=0.006, respectively). In addition, obese people experienced negative emotion more than normal weight people (p=0.017). Conclusion: The results show that physicians need to understand the fact that using auscultation could cause patients discomfort and negative emotions. Many of those respondents who were given sufficient explanation about the purpose of using a stethoscope by their doctors were less likely to feel negative emotions. To prevent patients from feeling unnecessary discomfort and to enhance doctor-patient relationship, physicians need to learn to become a competent communicator.