经济全球化背景下房地产专业人才培养模式的变革

通过分析经济全球化背景下房地产行业的发展特点,提出房地产专业人才培养模式变革的必要性,并且从正确认识和确立房地产的专业地位、建立房地产专业人才培养的层次性观念、重新设置课程体系以及丰富人才培养方式等几个方面指明了改革的方向。     

PHYSICOCHEMICAL, TEXTURAL AND NOODLE-MAKING PROPERTIES OF WHEAT DOUGH CONTAINING ALGINATE

The effects of the addition of alginate on the physicochemical, rheological and noodle-making properties of wheat flour were studied. The hydration properties (water absorption index, water solubility and swelling power) of wheat flour increased with increasing levels of alginate due to its high affinity to water. The addition of alginate caused increased water absorption and dough development time in the farinogram while the tolerance of dough to mixing was reduced. Also, the syneresis of the wheat flour gel was significantly reduced during freeze-thaw treatments when prepared with alginate. With the addition of alginate, the noodles exhibited an increase in the cooked weight and a decrease in the cooking loss. Moreover, the addition of alginate led to significant increases in the cutting and tensile forces of the noodles. In addition, the noodles containing more alginate exhibited lower lightness and redness, while yellowness was increased.

PRACTICAL APPLICATIONS

The purposes of this study are to examine the effects of alginate on the physicochemical and rheological properties of wheat flour dough and to evaluate its performance in noodle-making.
This study demonstrates that alginate can be used as a food additive to control and modify the rheology and texture of wheat flour products.     

基于GIS的电力生产管理系统的设计

电力生产管理要涉及庞大的电力设备设施数据、用户数据、规划数据等，这些数据从发电、输电、配电到用电等任何一个环节，都表现为空间性、复杂性等特点。将地理信息引入到电力设施和信息的管理，能有效管理这些复杂的空间资源，提高电力系统的生产和管理水平。本文以空间数据为载体、以设备管理为核心、以业务规划为灵魂、以流程重组为主线、以生产管理为目标，搭建了基于GIS的电力生产管理系统，并详细地描述了其功能设计方案和构建数据模型的方法。     

炭化工艺对C/C-SiC制动材料摩擦磨损性能的影响

以短炭纤维、Si粉、炭粉和树脂为原料,通过均匀混合、温压成形,在1 500℃原位反应最终制得C/C-SiC复合材料.测试试样的开孔隙率、热扩散率及摩擦磨损性能,研究制备工艺过程中后续炭化对摩擦磨损性能的影响,并对摩擦表面及磨屑进行扫描电镜观察和X射线衍射分析.结果表明:采用树脂浸渍炭化工艺制备的C/C-SiC制动材料具有适中的摩擦因数和较低的磨损率;经后续炭化,树脂转变为树脂炭,以磨粒的形式增大摩擦力,同时有效地降低了磨损率.     

B450NbRE高强耐候310乙字钢研制

通过小炉试验进行化学成分调整,成功开发了450M Pa级高强度耐大气腐蚀铁路车辆用钢,工业试生产表明,450M Pa级BN bRE耐大气腐蚀用钢的各项指标达到了铁路车辆用钢的要求。为铁路货车提高载重量进行了有益的尝试。该钢种已经纳入铁道部相关标准,可以正式生产。     

替代工质HCFC-22/HFC-152a汽车空调系统的特性研究

保有汽车的空调系统大多采用CFC-12制冷剂,若改用HFC-134a制冷剂系统将面临很多困难.HCFC-22/HFC-152a的混合制冷剂同原CFC-12制冷系统相容,又符合CFC替代的国际协议的规定,本文对HCFC-22/HFC-152a为制冷剂的汽车空调的性能进行了分析,并与CFC-12、HFC-134a系统进行了对比.HCFC-22/HFC-152a混合制冷剂可作为过渡替代工质,在保有的汽车空调系统中可以直接替代CFC-12.     

高层建筑桩基逆作法应用研究

本文基于桩土共同作用理论及锚杆桩施工的特点 ,提出了高层建筑桩基逆作法简化理论、设计计算方法 ,并对施工问题进行了分析 ,最后给出了工程实例     

Weighted-averaging-based classification of laser-induced breakdown spectroscopy measurements using most informative spectral lines

In this study, efficient spectral line selection and weighted-averaging-based processing schemes are proposed for the classification of laser-induced breakdown spectroscopy(LIBS) measurements. For fast on-line classification, a set of representative spectral lines are selected and processed relying on the information metric, instead of the time consuming full spectrum based analysis. The most informative spectral line sets are investigated by the joint mutual information estimation(MIE)evaluated with the Gaussian kernel density, where dominant intensity peaks associated with the concentrated components are not necessarily most valuable for classification. In order to further distinguish the characteristic patterns of the LIBS measured spectrum, two-dimensional spectral images are synthesized through column-wise concatenation of the peaks along with their neighbors.For fast classification while preserving the effect of distinctive peak patterns, column-wise Gaussian weighted averaging is applied to the synthesized images, yielding a favorable trade-off between classification performance and computational complexity. To explore the applicability of the proposed schemes, two applications of alloy classification and skin cancer detection are investigated with the multi-class and binary support vector machines classifiers, respectively. The MIE measures associated with selected spectral lines in both applications show a strong correlation to the actual classification or detection accuracy, which enables to find out meaningful combinations of spectral lines. In addition, the peak patterns of the selected lines and their Gaussian weighted averaging with neighbors of the selected peaks efficiently distinguish different classes of LIBS measured spectrum.