灌区多孔质生态河床的改良及净污效果试验研究

将多孔质生态河床技术引入生态型灌区受损水体修复中．在冬季低温条件下，通过室内试验，延续了前期研究，采用仿生植物填料丝改良了块石多孔质生态河床，并与碎石多孔质生态河床对比，分析了两种河床模型对污染水体的净化效果．结果表明：采用仿生植物填料丝改良的块石多孔质生态河床是修复受损水体较理想的方法，它可以有效地降低由于水力条件的改变对河床的扰动，减轻由于底质污染物向上覆水体的再释放而导致的二次污染程度，还有利于增加河床的比表面积，增加微生物的数量和种类，提高河流的自净能力．此外，对比分析了两种河床模型对TP，TN、NH4^＋-N和CoDMn去除机制．     

Observation of biological materials by X-ray photoelectron-conversion contact microscopy

Dried biological specimens, such as fossil diatoms, collagen, nerve tissue and spicule of Trepang, were observed by X-ray photoelectron-conversion contact microscopy. A spatial resolution of 0·2 μm was attained. The fossil diatom image shows a clear difference below and above the carbon K-absorption edge (4·46nm).     

Structural Optimization of Autonomous Energy Networks by Mathematical Programming Techniques

The renewal of conventional energy systems is important countermeasures against global warming effects and natural hazards. A self‐sustainable decentralized energy system is one of the promising solutions for future sustainable and resilient societies. In this paper, a mathematical programming model is formulated and design and utilization of the overall energy network is optimized based on the model, where stationary batteries are equipped. Through some numerical simulation results, the effectiveness and the potential, for example, for clarifying the effect of the batteries, of the proposed model are investigated.     

高钛高炉渣在微波场中的加热行为

为在高钛高炉渣中引发微裂纹、有效降低其研磨难度,进行了微波加热高钛高炉渣的实验.在引发裂纹的过程中发现其不仅能被微波场有效加热,且有热失控现象发生.为探讨微波加热高钛高炉渣的机理以及产生热失控现象的原因,对不同种类的合成炉渣进行了微波加热实验.实验表明渣中CaTiO3对有效加热高钛高炉渣起到重要作用.利用Network Analyzer测量了其介电常数.测量结果表明CaTiO3的介电常数远远大于一般材料,定量说明了在微波场中CaTiO3对加热高钛高炉渣的作用.此外,实验测得CaTiO3的介电常数随温度的升高而增大,这种正反馈加热方式正是高钛高炉渣在微波场中发生热失控的主要原因之一.     

Camera array calibration for light field acquisition

Light field cameras are becoming popular in computer vision and graphics, with many research and commercial applications already having been proposed.Various types of cameras have been developed with the camera array being one of the ways of acquiring a 4D light field image usingmultiple cameras. Camera calibration is essential, since each application requires the correct projection and ray geometry of the light field. The calibrated parameters are used in the light field image rectified from the images captured by multiple cameras. Various camera calibration approaches have been proposed for a single camera, multiple cameras, and amoving camera. However, although these approaches can be applied to calibrating camera arrays, they are not effective in terms of accuracy and computational cost. Moreover, less attention has been paid to camera calibration of a light field camera. In this paper, we propose a calibration method for a camera array and a rectification method for generating a light field image from the captured images. We propose a two-step algorithm consisting of closed form initialization and nonlinear refinement, which extends Zhang’swell-known method to the camera array. More importantly, we introduce a rigid camera constraint whereby the array of cameras is rigidly aligned in the camera array and utilize this constraint in our calibration. Using this constraint, we obtained much faster and more accurate calibration results in the experiments.