用于生化分析的SPR效应研究

研究了一种新的SPR生化分析系统,从SPR效应的原理入手,分析了SPR效应作生化分析时的特性,得出了光源和传感头的几何重要参数对SPR效应特性的影响,以LED作为光源,CCD作为光电探测器,FPGA为采集控制器设计中集成化的光学系统,整个系统结构紧凑,易于商用化。     

室内环境监控系统模型试验研究

根据室内环境监控系统实际模型的试验研究,提出了一种利用计算机网络对室内多个传感器进行远程监控的实用方法,并详述了其工作原理和监控程序设计.     

双轴亚铁磁粒子中的量子位相干涉

本文研究了外磁场沿难磁化轴和中间磁化轴所在平面上任意方向时,亚铁磁颗粒中的量子位相干涉。     

Push-Over Analysis of the Seismic Behavior of a Concrete-Filled Rectangular Tubular Frame Structure

Introduction Over the past twenty years the static push-over proce- dure has been presented and developed by several au- thors, including Saiidi and Sozen[1], Fajfar and Gasper- sic[2], Bracci et al.[3], amongst others. This method is also described and r…     

An approach for user’s trajectory prediction based on the trajectory cluster

The existing user’s trajectory prediction methods considered little about the interrelation among users and would fail if the user historical trajectory data were lack. This paper presents a user’s trajectory prediction model and corresponding algorithms by the historical trajectories of users based on the trajectory cluster. The experimental results on MDC dataset show that the proposed method has great improvement in efficiency, accuracy, and scalability comparing with the traditional methods, and it also be applied to the situation where user’s historical trajectory data are lacked.     

农田荒漠过渡带包气带土壤水盐运移规律研究

为实现农田区和荒漠保护区植被协同发展,通过石羊河流域下游某试验场原位试验研究农田荒漠过渡带包气带土壤水盐运移规律。结果表明：农田荒漠过渡带上,荒漠区土壤包气带水盐运移与农田区灌溉息息相关。灌溉后,农田区土壤盐分随灌溉水进入地下水中,继而流向荒漠区,引起荒漠区表层土壤盐分大幅升高。水位调控后,灌溉对农田区表层土壤脱盐效果更好,盐分随灌溉水向下运移更深。同时,不仅农田区侧向流入荒漠区盐分减少,而且减少了浅层咸水进入荒漠区包气带土壤中的盐分,有效缓解了荒漠区表层土壤聚盐效应。     

2000年数据库系统的前景与面临的挑战

简要地回顾了数据库系统的发展，讨论了数据库系统的现状，并从标准、性能、并行结构、数据库环境、联系等方面论述了数据库所面临的新的挑战，对２０００年数据库系统的前景进行了预测。     

铷原子频标长期稳定度的研究

对影响铷原子频标长期稳定度的光频移、碰撞频移和微波功率频移进行了分析。在此基础上提出了改进措施,保证铷原子频标不仅具有好的短期稳定度,而且具有良好的长期稳定度,使铷原子频标的性能大大改善。     

地磁扰动对婴儿出生的影响

我们生活在一个地磁场不断变化的地球环境中,磁场的变化对人体和一切生物都有直接作用,在剧烈的地磁扰动伴随着太阳活动高峰即将到来之际,了解地磁扰动对婴儿有何影响很有必要.统计分析显示地磁扰动对婴儿出生有明显的影响地磁场强度增大或者地磁场强度的变化率增大时,婴儿出生率都显著增加;磁暴对婴儿出生有加速作用.另外,初步调查研究看出,太阳活动高峰年,也即是地磁活跃年,出生儿死亡率有上升趋势.     

Context-aware recommendation in mobile environments: An approach based on interest resonance

The recommendation system can efficiently solve the information overload in mobile Internet. Thus, how to effectively utilize context information to improve the accuracy of recommendation becomes the research focus in the field. This article puts forward a novel approach to realize the context-aware recommendation in mobile environments. It first gets users’ interest resonance with a hash-based interest resonance mining algorithm. Then, it calculates the association degree between the user and the item and then predicts the user’s rating on the item. Finally, it comprehensively figures out the recommending index. Moreover, this article also designs a personal recommendation model for the users and provides relevant decision-making coefficients. Experiments have demonstrated that our approach is superior to the traditional ones (RMP, RSTE, MD and BBBs) in both performance and efficiency.