Au40 Pd20合金原子团簇惰性气体氛围凝聚动力学行为研究

采用蒙特卡洛方法,结合Tight-binding和Lennard-Jones作用势,对Ar原子氛围中初始随机分布的40个Au原子和20个Pd原子体系的凝聚动力学行为进行了研究．Ar原子氛围对合金团簇的形成过程及其形貌尺寸有重要影响,计算表明：不同的Ar原子氛围得到的Au40 Pd20合金原子团簇凝聚结构形貌不同;在降温退火过程中, Ar原子密度大时,得到的Au40 Pd20合金原子团簇结构更加紧凑,且Au40 Pd20合金团簇凝聚相变温度更高;而恒温退火过程中,则发现较高温度时能得到较为紧凑的合金团簇结构,Ar原子密度越大,系统到达平衡的动力学时间更短．模拟结果能为惰性气体冷凝方法中实现合金团簇结构与形貌可控制备提供参考．     

Wave Scattering by Porous Bottom Undulation in a Two Layered Channel

The scattering of plane surface waves by bottom undulations in channel flow consisting of two layers is investigated by assuming that the bed of the channel is composed of porous material. The upper surface of the fluid is bounded by a rigid lid and the channel is unbounded in the horizontal directions. There exists only one wave mode corresponding to an internal wave. For small undulations, a simplified perturbation analysis is used to obtain first order reflection and transmission coefficients in terms of integrals involving the shape function describing the bottom. For sinusoidal bottom undulations and exponentially decaying bottom topography, the first order coefficients are computed. In the case of sinusoidal bottom the first order transmission coefficient is found to vanish identically. The numerical results are depicted graphically in a number of figures.     

蓝牙协议一致性测试技术的研究

蓝牙协议一致性测试不仅可以验证一个开发商开发的蓝牙协议是否符合蓝牙特别兴趣小组规范的一种协议一致性测试,它还可以验证一个蓝牙协议实现的能力和行为.主要介绍蓝牙体系结构,并以服务发现协议(SDP)为例,对蓝牙协议一致性测试提出一套解决方案,便于蓝牙测试仪以及自动化测试工具的实现.     

蓝牙耳机系统及其实现

介绍蓝牙及其协议栈体系结构;讨论了蓝牙耳机的基本概念及其应用模型,最后详细阐述了该蓝牙耳机系统的设计和具体实现.     

对象/关系映射机制研究与实现

针对持久对象与关系数据库的存储矛盾,深入研究对象/关系映射的几种方法和相关机制,设计并初步实现了一个对象/关系映射框架.该框架具有对象/关系映射功能,使应用程序开发人员能够以统一的、面向对象的方法进行对象数据存取,而不必关心底层关系数据库的实现,从而极大地提高了开发效率.     

经济全球化与教育国际化

20世纪末以来,经济全球化的发展呈现出不可逆转的态势。经济的全球化极大地提高了世界范围的人、财、物、技术的流动速度,促进了各种生产要素和资源的优化配置。经济全球化在加强各国之间教育资源交流的同时,也迫使各国的教育市场向全球开放,因此高等教育国际化是应全球化而生,是世界经济一体化进程的必然产物。所谓高等教育国际化,就是加强国际高等教育的交流合作;积极向各国开放国内教育市场,并充分利用国际教育市场;在教育内容、教育方法上要适应国际交往和发展的需要,要培养有国际意识、国际交往能力、国际竞争能力的人才。     

现代信息技术对未来航海的影响

从国际互联网（Internet),3S(GIS,GPS,RS)数字地球与数字海洋等信息技术的角度出发,分析了现代信息技术对未来航海的影响,论述了第的信息系统构架。     

Benthic megafauna communities under the influence of the South Atlantic Central Water intrusion onto the Brazilian SE shelf: A comparison between an upwelling and a non-upwelling ecosystem

The structure and dynamics of the benthic invertebrate megafauna of the Southeastern Brazilian shelf were studied over a 2-year period. Two regions presenting different oceanographic conditions, Ubatuba-SP and Cabo Frio-RJ were compared in terms of biomass, density of organisms and species richness. Two to three 30-min tows were undertaken at each of the stations, located at 40 and 100 m isobath, in a normal transect offshore of both regions. Faunal distributional patterns correlated with water mass dynamics, depth and sediment parameters. In the Cabo Frio region, subjected to a Ekman-driven seasonal coastal upwelling, the impact of the South Atlantic Central Water (SACW) on the inner shelf leads to a change in the benthic communities, with a high dominance of top carnivores such as the crab Portunus spinicarpus and the sea-star Astropecten brasiliensis, which accounted for the larger part of the total biomass. Distinct species associations were found in each of the two regions and the total biomass at Cabo Frio inner shelf was almost twice that of Ubatuba during the 2002 summer, when a marked upwelling was verified. The relationship between megabenthic biomass and input of organic matter to the sea floor during upwelling events is discussed.     

基于X射线技术的安全检查设备在地铁安检中的应用

地铁X射线安全检查设备能够分辨出有机物、无机物和混合物（或轻金属）,能有效阻止违禁品和限带品被带入地铁站内,是保障地铁安全的重要手段。介绍了X射线安全检查设备的特点、原理、结构组成和功能。     

Recognizing metro-bus transfers from smart card data

Transfer points between metro and bus services remain an elusive, yet critical junction for transportation practitioners. Based on massive Smart Card (SC) data, previous studies apply a one-size-fits-all criterion to discriminate between transfers. However, this is not sufficiently convincing for different transfer pairs. To counter this problem, this study applies an association rules algorithm and cluster analysis to recognize metro-to-bus transfers using SC data, and demonstrates transfer recognition in a case study based on SC data collected during a week in Nanjing, China. It is shown that 85% of the transfer-recognition results are quite stable through the whole week, and the median transfer time between metro and bus is below 20?min. The method proposed in this study can be used to identify the busiest transfer points and to obtain average transfer times, which facilitates a smarter and more efficient public transit network.