沸腾两相流动压力波动信号的特性

研究了竖直管内沸腾两相流动时压力波动信号的特性,对压力波动时间序列进行了标准偏差分析、功率谱密度函数分析、分维数分析、相关维分析及Kolmogorov熵分析,考察了热流密度对压力波动的影响规律.结果表明沸腾两相流动具有非线性混沌特性,且热流密度对各特征参数有不同影响.     

再生丁基橡胶与非极性不饱和橡胶共混物的性能研究

对再生丁基橡胶(RIIR)与非极性不饱和橡胶共混物的性能进行了研究。结果表明,RIIR易以填料的形式加入到非极性不饱和橡胶中使用,当RIIR以填料的形式加入到NR、BR及SBR中时,不仅使它们的耐热氧老化性及耐屈挠龟裂性得到明显改善,而且使NR及BR的撕裂强度及扯断伸长率提高;RIIR作为生胶与BR及NR共混,可改善BR的耐热氧老化性,提高NR的撕裂强度;SBR与RIIR共混,均使拉伸强度及撕裂强度降低;非极性不饱和二烯类橡胶与RIIR共混后,均使耐磨性降低。     

导电涂料的研制

为了获得性能优良的导电涂料 ,采用对比试验和正交试验的方法对导电涂料进行了研究 ,分别对导电涂料的电阻、硬度、耐冲击强度、柔韧性等性能进行了测试 ,经过试验 ,确定了无机导电涂料的最佳配方为 :石墨 10 0g ,铅酸钡 10g ,三氧化二锑 5g ,二氧化钛 35g ,碳化硅 10g ,硅酸盐溶胶 170g。以此配方研制出了一种成本较低、生产工艺简单、具有良好的导电、导热性能的无机导电涂料。     

Lattice-based key exchange on small integer solution problem

In this paper, we propose a new hard problem, called bilateral inhomogeneous small integer solution （Bi-ISIS）, which can be seen as an extension of the small integer solution problem on lattices. The main idea is that, instead of choosing a rectangle matrix, we choose a square matrix with small rank to generate Bi-ISIS problem without affecting the hardness of the underlying SIS problem. Based on this new problem, we present two new hardness problems： computational Bi-ISIS and decisional problems. As a direct application of these problems, we construct a new lattice-based key exchange （KE） protocol, which is analogous to the classic Diffie- Hellman KE protocol. We prove the security of this protocol and show that it provides better security in case of worst-case hardness of lattice problems, relatively efficient implementations, and great simplicity.     

Mixed convection heat and Mass transfer in a vertical channel with film evaporation

Numerical results are presented for effects of latent heat transport associated with film vaporization on laminar mixed convection heat and mass transfer in a vertical channel with a half channel width b = 0.01 m. The influences of the inlet liquid mass flowrate and wall temperature on the film vaporization and the associated heat and mass transfer characteristics are examined for air-water and air-ethanol systems with gas Reynolds number Re_g = 2000. Predicted results obtained by including transport in the liquid film are contrasted with those where liquid film transport is neglected, showing that the assumption of an extremely thin film made in Lin et al. (1988) and Yan and Lin (1989) is only valid for systems having small liquid mass flow rates. Additionally, it is found that the interfacial heat flux is predominantly determined by latent heat transfer connected with film evaporation.     

膜生物反应器在废水处理中的应用

膜生物反应器 (MembraneBio -Reactor ,MBR)是一种传统活性污泥法的改进技术 ,它应用于给水和废水处理的研究发展过程。介绍了膜生物反应器的发展状况、结构形式、优点和应用领域。     

Derivation and analysis of a filtered backprojection algorithm for cone beam projection data

The authors address the problem of three-dimensional image reconstruction from cone beam projections. Modifying a result due to A.A. Kirillov (Soviet Math. Dokl., vol. 2, p.268-9, 1961), the authors derive an inversion formula for the case where the cone vertices form an unbounded curve. For the special case in which the cone vertices form a circle, an approximate reconstruction formula is developed and shown to be essentially equivalent to the practical cone-beam algorithm of L.A. Feldkamp et al. (1984). For this approximate inverse, the authors derive the resulting spatially varying point spread function, examine the effect of bandlimiting due to sampling, and compare the resulting image quality as a function of the radius of the circle formed by the cone vertices.     

Fast‐moving coin recognition using deep learning

Multimedia Tools and Applications - Deep learning has made essential contributions to the development of visual object detection and recognition. Identifying fast-moving objects from the viewpoint...     

Image super-resolution using supervised multi-scale feature extraction network

Multimedia Tools and Applications - Image super-resolution using deep convolutional networks have recently achieved great successes. However, previous studies have failed to consider the spatial...     

基于粒子群优化BP神经网络的超声波缺陷位置预测

海洋设备的无损检测对于保障设备安全使用至关重要,由于设备所处的海洋环境特殊,要实现对海洋设备缺陷位置的准确估计难度较大.论文提出了一种基于粒子群优化BP神经网络(PSO-BP)预测设备缺陷位置的方法.通过模拟了海洋检测环境,用钢板作为实验对象,用超声波探伤仪对缺陷钢板进行了数据采集,获取了水下钢板的实时数据.通过粒子群算法对BP网络进行优化后对数据进行分析,对比缺陷出现的实际位置和预测位置,证明了粒子群优化的BP神经网络对于超声波检测的缺陷出现位置具有较好的预测效果.