A bintree energy approach for colour image segmentation using adaptive channel selection

A new hierarchical approach called bintree energy segmentation was presented for color image segmentation. The image features are extracted by adaptive clustering on multi-channel data at each level and used as the criteria to dynamically select the best chromatic channel, where the segmentation is carried out. In this approach, an extended direct energy computation method based on the Chan-Vese model was proposed to segment the selected channel, and the segmentation outputs are then fused with other channels into new images, from which a new channel with better features is selected for the second round segmentation. This procedure is repeated until the preset condition is met. Finally, a binary segmentation tree is formed, in which each leaf represents a class of objects with a distinctive color. To facilitate the data organization, image background is employed in segmentation and channels fusion. The bintree energy segmentation exploits color information involved in all channels data and tries to optimize the global segmentation result by choosing the ＂best＂ channel for segmentation at each level. The experiments show that the method is effective in speed, accuracy and flexibility.     

Joint distortion model for progressive image transmission using error correcting arithmetic codes

A novel joint source channel distortion model was proposed, which can essentially estimate the average distortion in progressive image transmission. To improve the precision of the model, the redundancy generated by a forbidden symbol in the arithmetic codes is used to distinguish the quantization distortion and the channel distortion, all the coefficients from the first error one to the end of the sequence are set to be a value within the variance range of the coefficients instead of zero, then the error propagation coming from the entropy coding can be essentially estimated, which is disregarded in the most conventional joint source channel coding （JSCC） systems. The precision of the model in terms of average peak-signal-to-noise has been improved about 0.5 dB compared to classical works. An efficient unequal error protection system based on the model is developed, and can be used in the wireless communication systems.     

低温、钾通道开放剂停搏对幼兔心肌的保护作用

目的探讨以钾通道开放剂(PCOs)取代传统的高钾用作停搏剂时对未成熟心肌的保护效果,以及低温与PCOs之间的关系。方法32颗未成年(14-28 d兔龄)兔心进行Langendoff模型缺血/再灌注研究:对照组(C组,n=8),改良St.Thomas液灌注心脏停跳,15℃保存;实验Ⅰ组(T1组,n=8),单纯低温心脏自然停跳,15℃保存;实验Ⅱ组(T2组,n=8),4℃Pinacidil(50μmol/L)液灌注停跳,15℃保存;实验Ⅲ组(T3组,n=8),37℃Pinacidil(50μmol/L)液灌注停跳,37℃常温保存。观察缺血前后心功能(左心室收缩峰压、舒张末压、最大压力变化速率)、冠状动脉流量、生化指标、心肌含水量、心肌超微结构等的改变。结果T2组左室功能和冠脉流量的恢复均优于另外3组(P<0.01),而在左室收缩功能的恢复方面,T1组优于C组(P<0.05),T1组与T3组间无明显差异(P>0.05);再灌注后心肌酶外漏及超微结构改变以T2组最为轻微,T3组最重;心肌含水量各组间无显著性差异(P>0.05)。结论PCOs超极化停搏液对未成熟心肌的保护效果明显优于高钾停搏液;单纯低温即能对未成熟心肌提供良好的保护作用;低温与超极化停搏之间的作用互相增强,但高钾去极化停搏削弱低温对未成熟心肌的保护作用。     

280柴油机曲轴渗氮工艺改进试验研究

研究氨气和氮气混合气氛的成分对渗氮速率的影响,测定了渗氮层的显微组织、渗氮层氮浓度分布及有关力学性能.结果表明,渗氮时,通入适量的氮气能使渗氮速率提高13%,改善渗层的组织与性能,有明显的经济效益.     

基于SCP理论的我国港口物流绩效定量分析

运用SCP产业组织理论的研究方法,分析我国港口物流产业绩效的整体现状,同时试图构造一个"结构-行为-绩效"的分析框架,为产业现状的科学评价提供服务.研究结果表明:我国港口物流产业目前正处于一种一定程度垄断性质的竞争市场结构;市场行为体现出局部垄断和竞争合作的两重性,其出现的适应性反应,影响了市场结构和市场绩效;另外,市场绩效也造成了产业结构和市场行为的变化.通过技术统计及理论分析,认为我国港口物流产业正处于快速成长时期,其经营绩效显著优于其他物流行业,呈现出较好的发展势头.     

280 柴油机曲轴渗氮工艺改进试验研究

研究氨气和氮气混合气氛的成分对渗氮速率的影响,测定了渗氮层的显微组织、渗氮层氮浓度分布及有关力学性能.结果表明,渗氮时,通入适量的氮气能使渗氮速率提高13%,改善渗层的组织与性能,有明显的经济效益.     

"叠加均值法"在沈本高速公路施工中的应用

主要介绍了在高速公路建设中,利用叠加均值法来解决路槽平整度这个较为复杂的问题。这种方法不仅简单实用,操作方便,节约大量的测量工作,而且可以加快施工进度,保证路槽的施工质量。     

天津地铁人文化设计研究

本文通过对天津城市现状以及天津地铁现状分析,阐述了地铁文化与城市文化结合的重要意义,即良好的地铁文化可以延伸和提升城市文化,提出一些地铁人文化设计思路.在天津地铁人文化环境的打造过程中,要充分突出天津人文地域特点,展示天津悠久的历史;增加环境艺术性设计,带给市民艺术感受;以及突出社会公益文化打造,营造和谐社会,充分展示天津城市形象.合理利用城市文化艺术资源,充分发掘天津地铁文化,拓展地铁文化的延伸方向.     

港口项目综合质量模糊评价

根据港口项目的特点,以广州南沙某港口项目为例,在大量调研的基础上,分析港口项目综合质量的评价指标,运用模糊数学的方法建立港口项目模糊综合评价体系.     

Impact of channel estimation error on channel capacity of multiple input multiple output system

In order to investigate the impact of channel estimation error on channel capacity of multiple input multiple output （MIMO） system, a novel method is proposed to explore the channel capacity in correlated Rayleigh fading environment. A system model is constructed based on the channel estimation error at receiver side. Using the properties of Wishart distribution, the lower bound of the channel capacity is derived when the MIMO channel is of full rank. Then a method is proposed to select the optimum set of transmit antennas based on the lower bound of the mean channel capacity. The novel method can be easily implemented with low computational complexity. The simulation results show that the channel capacity of MIMO system is sensitive to channel estimation error, and is maximized when the signal-to- noise ratio increases to a certain point. Proper selection of transmit antennas can increase the channel capacity of MIMO system by about 1 bit/s in a flat fading environment with deficient rank of channel matrix.