NEURAL NETWORK MODELING FOR ESTIMATION OF SCOUR DEPTH AROUND BRIDGE PIERS

It is essential to predict the scour depth around bridge piers for hydraulic engineers involved in the economical design of bridge pier foundation. Conventional investigations have long been of the opinion that empirical scour prediction equations based on laboratory data over predict scour depths. In this article, the Back-Propagation Neural Network (BPN) was applied to predict the scour depth in order to overcome the problem of exclusive and the nonlinear relationships. The observations obtained from thirteen states in USA was verified by the present model. From the comparison with conventional experimental methods, it can be found that the scour depth around bridge piers can be efficiently predicted using the BPN.     

古力土石坝的运行特性及预测

本文介绍了对古力堆石坝和土坝的岩土力学特性进行的定期重新评价，确定了建筑物的现场稳定性并将其与最初设计预测进行了比较，同时考虑了设计变更，记录测试结果和仪器监测研究。     

Characteristics of moisture and salinity of soil in Taklimakan Desert, China

The Taklimakan desert is known as the largest dunefield in China and also as the world's second largest shifting sand desert. The Tarim Desert Highway, which is the first highway to cross the Taklimakan desert, was built for the purpose of oil and gas resources extraction in the Tarim area, as well as for the development of the southern area of the Xinjiang Uygur Autonomous Region. Shelterbelts have been planted along the highway to prevent shifting sand from burying the road. This paper analyzes the variations of moisture and salinity of the unirrigated desert soil under natural conditions in the center of Taklimakan Desert. A number of important findings indicating the moisture and salinity of the soil at capillary saturation zone were determined by the groundwater and related to the evaporation on the top. Salinity could be affected by vegetation, which was different from moisture in the soil. Meanwhile, clay layer played an important role in water preservation in the soil, which was also beneficial to the accumulation of salinity in soil. Compared with clay layer, vegetation was a decisive factor for the gathering of salinity. The findings were significant for reasonable adjustment of irrigation in the shelterbelts for the further development of the Tarim Desert Highway.     

Influence of monovalent cations and CuO nanoparticles on X-nanozeolite in uranium anionic species separation from contaminated drinking water

The main purpose of this work was the modification of NaX nanozeolite using copper oxide nanoparticles and various monovalent cations such as K~+, Cs~+, and Ag~+in order to make the negatively charged zeolite surface accessible for anionic forms of uranium which are the most dominant species of uranium in the contaminated radioactive waters at natural p H. Various methods such as the X-ray fluorescence(XRF), X-ray powder diffraction(XRD), field emission scanning electron microscopy(FE-SEM), transmission electron microscopy(TEM), Fourier transform infrared spectroscopy(FT-IR), and atomic absorption spectroscopy(AAS) were used to characterize the final synthesized absorbents. Batch technique was used to study the adsorption behavior of uranium ions from polluted drinking water by Na X nanozeolite and its modified forms. In order to better understand the performance of them, the results were compared with those that were obtained for synthesizing bulk NaX zeolite and Na-form of clinoptilolite natural zeolite. Preliminary results indicated that uranium sorption increased as the loading level of CuO nanoparticles on NaX nanozeolite increased from 2.1 wt% to 11.2 wt%. In addition,from the obtained data, an increase in uranium removal efficiency resulted as charge/ionic radius ratio of exchanged cation decreased. Also, the effect of contact time, solid–liquid ratio, initial concentration and temperature on the adsorption process was studied. It is worth mentioning that, in this study, the sorption of uranium was performed under natural conditions of pH and the presence of competing cations and anions which are available in drinking waters.     

凡事皆须校准

当需要用到极高精度的运动控制时，譬如需要在用于制造关键尺寸仅为几十纳米级的集成电路的精确线性编码器上标记基准点时，气温变化往往被认为是最严重的问题。这些编码器必须达到皮米（微微米）级的精度。     

光致发光PL技术在硅块检测中的应用

光致发光影像PL Imping技术应用在硅块检测方面已经开发出来，这项技术可以把掺硼铸锭硅块以高解析度，在极短时间内量测得到每一面的PL Imping影像。这些影像按照体少子寿命（τbulk）变化进行分析，并且针对类稳态光导（QSSPC）及微波光导量测技术（μ－PCD）进行比较，证明可以作为硅块分析工具。我们证明在辐照均匀下的量测结果不仅符合光伏产业的一个太阳（One Sun）辐照条件，当量测结果具备平均注入条件，更得到一致体少子寿命值测试结果。     

机构投资者如何转型

改变追求短期回报的投资方式,可能会使股东和全球经济受益无穷。当所有的人仍然喜欢把银行家和证券经纪人当作两年前造成严重金融危机的罪魁祸首时,机构投资界也正日益受到人们的严格审视。这些投资者,尤其是养老基金、保险公司和投资管理公司,是全球各地资本市场的主要参与者。例如在英国,     

License Plate Recognition for Parking Control System by Mathematical Morphology

Nowadays, license plate recognition for parking systems is a critical task to provide automatic control of customers and payment. This paper introduces a new method for automatic recognition of license plates of vehicles by mathematical morphology.The proposed method can provide the license plate number of the plates in different light conditions, colors,sizes, and inclination(angles). The algorithm can recognize the license plates of European Union vehicles quickly and correctly. The pattern learning of mathematical skeletons has high efficiency in the process. The performance of the algorithm is demonstrated well by the test in a parking control system.     

焦炭特性及其在高炉下部的变化过程

气化、石墨化和溶解是影响焦炭从高炉软熔带至炉缸间行为的三个主要过程。过去几年在一些专题项目中对这些过程进行了研究。简要叙述并讨论了这些过程的相互作用及其与焦炭特性的关系。对焦炭的气化反应进行了实验室测试研究,用以评价高炉条件下焦炭的特性。用高炉条件下的气化测试装置测试了几种焦炭试样,考查的质量指标包括反应性、结构变化和强度等。用实际尺寸的焦炭块对块状焦炭试样的高温行为进行了评估,将不同种类的焦炭试样加热到2 000℃,以鉴别其在高温下的行为。高温下焦炭将发生石墨化,对高温反应后的强度进行了评定,并作了显微观察,发现了一些现象和组织结构的变化。焦炭与液态渣铁相互作用的研究结果对焦炭在高炉下部的行为有了更好的理解。通过试验研究了焦炭抗液态铁水溶解的性能,对入炉前的焦炭和经高温反应的焦炭分别进行了试验。分析讨论了焦炭的抗气化、抗石墨化和抗铁水溶解性能与其结构、化学成分和强度的关系。