为动态识别无线视频传输过程中视频码率变化情况,结合结构相似度(structural similarity,SSIM)的图像失真评价测度,根据终端视频帧质量数值分布特点,提出一种基于结构相似度的无线视频码率变化聚类识别算法SBVCRA(SSIM based bitrate va...为动态识别无线视频传输过程中视频码率变化情况,结合结构相似度(structural similarity,SSIM)的图像失真评价测度,根据终端视频帧质量数值分布特点,提出一种基于结构相似度的无线视频码率变化聚类识别算法SBVCRA(SSIM based bitrate variation clustering recognition algorithm for wireless video)。使用结构相似度(SSIM)计算视频帧质量,计算相邻帧质量数据之间的相似程度;基于二叉树分裂方法,以相邻帧质量相似度值最小的帧序号为分裂点对帧区间进行递归分裂;依据分裂结果完成无线视频码率聚类,实现码率变化情况的识别。实验结果表明,所提算法可根据视频帧质量数值分布特性对相同码率自动聚类,码率变化情况的识别结果准确。展开更多
Combining wavelet transforms with conventional log differential curves is used to identify fractured sections is a new idea.In this paper,we first compute the mother wavelet transform of conventional logs and the wave...Combining wavelet transforms with conventional log differential curves is used to identify fractured sections is a new idea.In this paper,we first compute the mother wavelet transform of conventional logs and the wavelet decomposed signals are compared with fractures identified from image logs to determine the fracture-matched mother wavelet.Then the mother wavelet-based decomposed signal combined with the differential curves of conventional well logs create a fracture indicator curve,identifying the fractured zone.Finally the fracture density can be precisely evaluated by the linear relationship of the indicator curve and image log fracture density.This method has been successfully used to evaluate igneous reservoir fractures in the southern Songnan basin and the calculated density from the indicator curve and density from image logs are both basically consistent.展开更多
Pyrenoids found in green algae Order Ulvales have taxonomical significance.Their morphology,microstructure,and the location and number in the cells have been widely used as identification criteria. As these traits can...Pyrenoids found in green algae Order Ulvales have taxonomical significance.Their morphology,microstructure,and the location and number in the cells have been widely used as identification criteria. As these traits can be affected by environmental conditions,it is necessary to look for other different characteristics.Here pyrenoids in several algae species collected along the Qingdao coast were studied for such purpose. The morphology and distribution of pyrenoids in the cells,as well as their change in different parts of the frond and at different times were studied with light microscope.The results are as follows.Pyrenoids appeared to be spherical or oval in observed Ulvales'algae cells.They were embedded in chloroplasts with the number of 1-3 per cell on average.The number of pyrenoids for Ulva pertusa could change drastically with continuing culture and could reach up to 10-20 per cell in late-growth stages.Generally, the pyrenoids in the marginal part were more observable than those in the central part for Ulva pertusa. In addition, the basal part of frond had more distinct pyrenoids with an average diameter of 2.42 μm for Enteromorpha linza. For some species the pyrenoids were difficult to be observed while dark treatment made them more distinguishable.The apoptosis rate of pyrenoids in different species varied under continuing dark treatment, which could be used to identify different species. Pyrenoids disappeared faster in E. linza than those in E.intestinalis.展开更多
基金sponsored by National Science and Technology Major Project of China (No. 2008 ZX 05009-001)
文摘Combining wavelet transforms with conventional log differential curves is used to identify fractured sections is a new idea.In this paper,we first compute the mother wavelet transform of conventional logs and the wavelet decomposed signals are compared with fractures identified from image logs to determine the fracture-matched mother wavelet.Then the mother wavelet-based decomposed signal combined with the differential curves of conventional well logs create a fracture indicator curve,identifying the fractured zone.Finally the fracture density can be precisely evaluated by the linear relationship of the indicator curve and image log fracture density.This method has been successfully used to evaluate igneous reservoir fractures in the southern Songnan basin and the calculated density from the indicator curve and density from image logs are both basically consistent.
基金supported by the National Natural Science Foundation of China(Nos.40876081 and 30570125)
文摘Pyrenoids found in green algae Order Ulvales have taxonomical significance.Their morphology,microstructure,and the location and number in the cells have been widely used as identification criteria. As these traits can be affected by environmental conditions,it is necessary to look for other different characteristics.Here pyrenoids in several algae species collected along the Qingdao coast were studied for such purpose. The morphology and distribution of pyrenoids in the cells,as well as their change in different parts of the frond and at different times were studied with light microscope.The results are as follows.Pyrenoids appeared to be spherical or oval in observed Ulvales'algae cells.They were embedded in chloroplasts with the number of 1-3 per cell on average.The number of pyrenoids for Ulva pertusa could change drastically with continuing culture and could reach up to 10-20 per cell in late-growth stages.Generally, the pyrenoids in the marginal part were more observable than those in the central part for Ulva pertusa. In addition, the basal part of frond had more distinct pyrenoids with an average diameter of 2.42 μm for Enteromorpha linza. For some species the pyrenoids were difficult to be observed while dark treatment made them more distinguishable.The apoptosis rate of pyrenoids in different species varied under continuing dark treatment, which could be used to identify different species. Pyrenoids disappeared faster in E. linza than those in E.intestinalis.
