Effect of Mode of Drying on Microstructure of Potato

Potato v. Irga was subjected to blanching, and thereafter was dried by convection, puff-drying, and freeze-drying. Microstructure of raw, blanched, and dried tissue was analyzed under the light microscope using computer image analysis. It was found that the tissue of the investigated variety is built up from cells much smaller than those described in literature for other cultivars. Blanching caused starch gelatinization and increase of cross-sectional area of cells. There was no evidence of broken cell walls. Convective drying resulted in cell shrinkage and some breaking of cell walls. It was estimated that some 12% of cells lost integrity during drying. Limited disintegration of the tissue caused by convective drying is attributed to small size of cells, large contact area, and high cohesive forces between cells. Puff-drying damaged the tissue much more than the convective drying. The most devastating to tissue microstructure was freeze-drying, probably freezing per se.     

Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method

Background

Preoperatively acquired diffusion tensor image (DTI) and blood oxygen level dependent (BOLD) have been proved to be effective in providing more anatomical and functional information; however, the brain deformation induced by brain shift and tumor resection severely impairs the correspondence between the image space and the patient space in image-guided neurosurgery.

Method

To address the brain deformation, we developed a hybrid non-rigid registration method to register high-field preoperative MRI with low-field intra-operative MRI in order to recover the deformation induced by brain shift and tumor resection. The registered DTI and BOLD are fused with low-field intra-operative MRI for image-guided neurosurgery.

Results

The proposed hybrid registration method was evaluated by comparing the landmarks predicted by the hybrid registration method with the landmarks identified in the low-field intra-operative MRI for 10 patients. The prediction error of the hybrid method is 1.92 ± 0.54 mm, and the compensation accuracy is 74.3 ± 5.0%. Compared to the landmarks far from the resection region, those near the resection region demonstrated a higher compensation accuracy (P-value = .003) although these landmarks had larger initial displacements.

Conclusions

The proposed hybrid registration method is able to bring preoperatively acquired BOLD and DTI into the operating room and compensate for the deformation to augment low-field intra-operative MRI with rich anatomical and functional information.     

柳州,云浮,宣化三厂预热分解系统技术改进经验引起的思考

本文分析了柳州、云浮、宣化三厂预分解系统粘结堵塞、难以稳定生产和不能“达产达标”的原因,逐一介绍了三厂预分解系统技术改进的措施和效果,并就其技改工程经验进行了分析总结和探索思考.     

基于像素点的碎片图像拼接技术

针对一页规则的既纵切又横切的中文文件碎片和一页规则的双面打印的英文文件碎片,分别提出了一种基于行列图像的碎片匹配算法和二维图像成片连接匹配算法。首先将碎片边缘像素点转化成灰度值,然后对各碎片的灰度值进行匹配度研究,且将匹配度作为碎片之间拼接的依据,最后使用相应的算法计算机按碎片拼接顺序输出碎片号。通过实验分析表明,该算法能够更快地获得碎片拼接结果,大大提高拼接复原效率。     

WALL AND PARTICLE-SHAPE EFFECTS ON HEAT TRANSFER IN PACKED BEDS

The effective radial thermal conductivity and apparent heat transfer coefficient for a packed bed were experimentally determined for beds of spheres, full cylinders and hollow cylinders, for flow rates giving particle Reynolds numbers in the range 100-1000, and for tube to particle diameter ratios of 5-12. Over these ranges the radial Peclet number Pe_r showed significant dependence on solid conductivity, gas flow rate and particle shape, while the wall Biot number Bi showed significant dependence on tube to particle diameter ratio, gas flow rate and particle shape. These dependencies were predicted well by equations incorporating the effects of these variables into individual gas and solid phase parameters, which were then combined to give the effective or lumped parameters     

维吾尔新文字大小写同形字母的识别

为有效识别出新维文中大小写同形字母,分析新维文的特点,提出一种基于模板匹配的大小写同形字母识别算法。根据同形字母中大写字母外轮廓大而小写字母外轮廓小的特点,统计字母外轮廓大小与全文字母外轮廓平均大小的比例值,进行字母的大小写判断。分析结果表明,该方法有效克服了传统模板匹配方法容易混淆同形字母的大小写的缺点,提高了系统的识别率。     

变邻域分解多目标自适应差分进化算法

分解方法是处理复杂问题常用的一种手段,而差分进化算法被广泛地应用于多目标优化问题(multiobjective optimization problems,MOP),为了克服经典差分进化算法和分解方法的缺陷,本文提出了一种自适应差分进化算法和变邻域分解方法相结合的新颖算法一ADEMO/D-ENS,该算法采用Tchebycheff方法将多目标优化问题分解成多维标量优化子问题,并利用邻域子问题的信息进行优化,基于邻域种群集依概率自适应选择邻域种群规模;同时采用概率匹配(]probability match,PM)自适应方法从差分策略池中选择差分进化策略;同时分析了算法的复杂度;最后,通过和经典的非支配排序遗传算法(non-dominated sorting genetic algorithmsⅡ,NSGA-Ⅱ)和多目标差分进化算法(multi-objective differential evolution algorithm,MODE)仿真对比,说明ADEMO/D-ENS方法可以更有效的处理多目标优化问题.     

Calibration for measured crystal size distribution

The crystal size distribution (CSD) measured by laser diffraction technique is obtained by assuming spherical crystals. If crystals are non-spheres, calibration is responsible for the true crystal size, particle number concentration and population density. In this paper, CSD calibration equations have been deduced. It was shown that when shape factors are size-independent, the weight percent of particles is not affected by crystal shape and calibration is just a horizontal shift of measured CSD. Calibration was taken for plate-like crystals of cefazolin sodium and rod-like crystals of l-threonine. The effect of CSD calibration on crystal growth kinetics has been investigated in l-threonine-water evaporation crystallization system.     

自适应SSDA图像匹配并行算法设计与实现

为了充分利用多核处理器的硬件资源和计算能力来提高图像匹配应用的实时性,通过对自适应阈值SSDA图像匹配算法原理的分析,基于任务分解的多核并行编程模式思想,设计了一种自适应阈值SSDA图像匹配并行算法,并在多核计算机上采用OpenMP模型编程实现该并行算法,同时还进行了相关的代码优化。实验结果表明,优化后的并行算法在保持匹配算法精度的同时大大提高了匹配速度和多核利用率,取得了良好的效果。     

一种面向大规模短特征集的字符串匹配技术

面向大规模特征集的字符串匹配技术在病毒检测、内容过滤等问题上的应用愈加广泛,而短模式串一直是阻碍性能提升的重要瓶颈。针对短模式串进行分析讨论,基于跳跃算法优化,采用了动态块大小和动态Hash处理以及Hash函数设计场景化的策略,同时探讨了多核处理器与多线程设计之间的关系。实验数据证明改进的算法策略具有支撑百万级特征集字符串匹配的能力。