复杂结构水下模态试验研究

讨论了水下结构振动模态试验理论，采用双梁式数学模型和多点正弦适调力法，研究了复合体结构在空气和水中的模态特性以及流体对复合体的耦联作用，测量了了复合结构干、湿模态参数。     

Unsupervised regions based segmentation using object discovery

We present a new unsupervised algorithm to discovery and segment out common objects from multiple images. Compared with previous cosegmentation methods, our algorithm performs well even when the appearance variations in the foregrounds are more substantial than those in some areas of the backgrounds. Our algorithm mainly includes two parts: the foreground object discovery scheme and the iterative region allocation algorithm. Two terms, a region-saliency prior and a region-repeatness measure, are introduced in the foreground object discovery scheme to detect the foregrounds without any supervisory information. The iterative region allocation algorithm searches the optimal solution for the final segmentation with the constraints from a maximal spanning tree, and an effective color-based model is utilized during this process. The comparative experimental results show that the proposed algorithm matches or outperforms several previous methods on several standard datasets.     

Special issue on system-integrated intelligence. New challenges for product and production engineering

The ubiquitous development of information and communication technology enables new opportunities for products as well as for production and manufacturing systems. These systems will be able to learn and adapt their behaviour during the systems operation for a continuos optimization. This results in an increasing structural complexity and dynamics of products, production networks, processes and organizations, which in turn requires an on-going adaption and reinvention of the organizing principles and solutions. Therefore, new products as well as their corresponding production and logistic processes spawn research activities in the field of advanced information techniques and system integrated intelligence to cope with the complexity and dynamics of future manufacturing networks.     

Distributed Compressive Video Sensing with Adaptive Measurements Based on Structural Similarity

This paper presents a Distributed compressive video sensing scheme with Adaptive measurements （DCVS-AM）. In this approach, the key frame in each Group of pictures （GOP） is coded by Compressive sensing （CS） with a fixed measurement rate; whereas other frames in the same GOP are compressed by an adaptive random projection in two stages, yielding the Adaptive compressive sensing （ACS） frames. The first stage uses a small and fixed measurement rate and recovers a coarse version. In the second stage, each coarse-version ACS-frame together with its proceeding and following key frames will go through a joint analysis at the decoder side and the analysis result - Structural similarity （SSIM） that is based on a motion-guided interpolation and calculated in a multilevel discrete wavelet transform domain - is sent back to the encoder side to facilitate a re-sampling of the ACS-frame with an adaptive measurement rate. Experimental results show that our proposed DCVS-AM consistently outperforms the state-of-the-art DCVS with a fixed measurement.     

Analysis Expression of Rate Equation for Vertical Cavity Lasers

An analysis solution of rate equation is derived for vertical cavity surface-emitting lasers.Based on the enhanced spontaneous emission caused by VCSELs and influence of nonradiative recombination, the relation between output properties and structural parametersof multi-quantum wells(MQWs) is obtanined.It was found that the characteristic curve of a “thresholdless“ laser is strongly nonradiative depopulation-dependent.When the nonradiative depopulation is no zero,the light-current characteristic is not linearly even for an ideal closed microcavity.The light output is increased by the enhanced well number and by the reduced width.In particular, a lower threshold current density for MQWs structure in the short cavity is realized by us, meanwhile the sharpness of the variation depends on spontaneous emission factor.     

Effect of highly dispersed sputtered silver nanoparticles on structural properties of multiwalled carbon nanotubes

A simple method to decorate mutliwalled carbon nanotubes (MWCNTs) with silver nanoparticles (Ag NPs) to enhance the structural properties is reported in the present study. The Ag NPs of average size 9 nm were deposited uniformly on MWCNTs network by RF sputtering technique. X-ray diffraction (XRD), Raman spectroscopy and Scanning electron microscopy (SEM) are used to compare the structural properties of Ag NPs sputtered nanotubes with those containing functionalized tubes. In addition, effect of these Ag NPs on the surface of nanotubes and optimization of the experimental parameter for uniform deposition of Ag NPs are also discussed.     

胶原的酸膨胀与抑制

用H2SO4及HCOOH处理生皮胶原,了解胶原在酸性条件下的膨胀速度与程度。用去氨基胶原及甲基化胶原的酸膨胀研究,证明氨基阳电荷是酸膨胀的主要起因。在pH2．0±0．2时,一些磺化酚可以与氨基结合抑制酸膨胀,本研究中最好的抑制剂是磺化乙萘酚,烷基磺酸则不能抑制。     

关于起重机梯子栏杆结构安全使用的几点建议

梯子栏杆结构是起重运输机械必不可少的组成部分，它不仅起着安全保护和通道作用，也会对主体结构的承载性能产生影响，然而在结构设计、制造和使用维护方面往往容易忽视它的作用。基于此，本文提出了起重机梯子栏杆结构在设计、使用过程中应注意的几个问题。     

三峡永久船闸人字门启闭机设计

三峡永久船闸人字门具有运行边界条件复杂，运行水头和淹没水深巨大的特点。在我国大型船闸上采用液压机构操作人字闸门尚属首次。通过分析人字门运行动水阻力矩的大小和变化规律，研究人字门液压启闭机构的运行方式及整体稳定等关键技术，对永久船闸人字六门启闭机构设备进行了一系列的设计优化。对船闸的安全运行和经济效益有着重要意义，亦对今后我国高水头船闸启闭设备的设计和应用提供参考。