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배양중인 계배간충직세포의 protein kinase C 활성도 분석
朴大圭,孫鍾京,鄭在昌 경북대학교 1992 논문집 Vol.24 No.-
To investigate the relationship between protein kinse C (PKC) and chondrogenesis, PKC activity was assayed in cultures of stage 23/24 chick limb bud mesenchymal cells under various conditions. PKC activities of cytosolic and particulate fractions were low in 1 day cultured cells. As chondrogenesis proceeds, cytosolic PKC activity increased more than 2-fold, while that of the particulate fraction increased only slightly. Three days' treatment of cultures with PMA(5×10 exp (-8)M) inhibited chondrogenesis judged by the accumlation of Alcian blue bound to the extracellular matrix and depressed PKC activity in cytosolic fraction. When cells were grown for 3 days in control medium after 3 days' treatment with PMA, chondrogenesis resumed and PKC activity recovered to normal values. PKC activity in cultures plated at low density (5×10 exp (6) cells/ml) or that in PMA treated cells. On the other hand, staurosporine promoted chondrgenesis without affecting PKC activity. Furthermore, reversal of PMA's inhibitory effect on chondrogenesis by staurosporine was not accompanied by recovery of PKC activity. These data indicate that increases in PKC activity is closely related to chondrogenesis and that PMA inhibits chondrogenesis by depressing PKC. However, staurosporine's enchancing effect of chondrogenesis is not related of PKC activity.
탐색 영역에서의 움직임 특성을 이용한 고속 블록 움직임 추정
최정현,박대규,정태연,이경환,이법기,김덕규 한국통신학회 2000 韓國通信學會論文誌 Vol.25 No.1
간단하고 점진적인 움직임 추정 알고리듬인 3단계 탐색 방법은 저비트율 영상 압축분야에서 널리 이용되어 왔다. 본 논문에서는 탐색 영역 내에서의 움직임 특성을 이용한 새로운 고속 블록 움직임 추정 알고리듬을 제안한다. 대부분의 움직임 벡터 영역의 중심 부분에 존재하며, 따라서 본 논문에서는 중심 부분의 움직임을 3단계 탐색 방법보다 훨씬 세밀하게 추정한다. 또한 각 단계에서 가능한 모든 움직임 방향을 고려하면서 이전 단계내의 탐색영역과 중첩되지 않는 국부 영역에 대해서만 움직임 추정을 행한다. 따라서 제안한 방법은 기존의 방법과 비교하여 보다 우수한 움직임 추정을 얻을 수 있으며, 계산 시간을 줄일 수 있다 The three-step search(TSS) algorithm, a simple and gradual motion estimation algorithm, has been widely used in some low bit-rate video compression. We propose a new fast block motion estimation algorithm using the characteristics of motion in search region. Most of motion vectors exist in the center region of search area, so the notion in that region is examined more closely than TSS in this paper. Also in a search step, motion vector is estimated in the local area which is not overlapped with the search area in previous step, considering the all possible direction of motion. Therefore, we get the better motion estimation and reduce computational time in compared with the conventional methods.