Toward an SCA-OSGi based middleware for radio frequency identification applications

The radio frequency identification (RFID) technology progressing is becoming a increasing interest in several application areas. To accommodate diverse and changing requirements from applications,RFID middleware should be reconfigurable. However,current RFID middleware is limited in its ability to support reconfiguration. To solve this problem,we adopt the service-oriented component-based approach in building the middleware. Component-based design enables decomposition of middleware functionality and is eas...     

基于DIgSILENT仿真的最大功率跟踪和无功补偿研究

论文主要研究了风力发电机运行稳定性的机械部分,运用曲线拟合方法和爬山算法对最大功率跟踪控制方法进行了比较研究,在DIg SLIENT仿真过程中建立了改进的控制模块并进行比较研究,从而得出改进的爬山算法和MPPT的控制模块具有良好的计算效果。通过建立SVC和STATCOM的模型和改进的控制模块连接到风力发电系统,在DIg SLIENT仿真中验证了SVC和STATCOM模型的有效性,并分析了模型对风力发电设备和系统的影响。研究结果表明,STATCOM在电网三相短路故障中有利于电压恢复和无功补偿。     

科学决策是先进交通理论实施的关键——对城市道路交通问题的反思

近年来道路交通阻塞已成为很多城市头痛的问题，解决交通问题也成了交通工作的重中之重。经过多年的研究，道路交叉口的功能、作用、问题、处理方式、解决的原则、办法到目前几乎都已成定论。色灯控制的交叉口采用分流、渠化、拓宽的方式有     

THE INFLUENCE OF SAPONINS OF PANAX QUINQUEFOLIUM LEAF AND STEM ON THE SLOW ACTION POTENTIALS IN MYOCARDIUM

ＴＨＥＩＮＦＬＵＥＮＣＥＯＦＳＡＰＯＮＩＮＳＯＦＰＡＮＡＸＱＵＩＮＱＵＥＦＯＬＩＵＭＬＥＡＦＡＮＤＳＴＥＭＯＮＴＨＥＳＬＯＷＡＣＴＩＯＮＰＯＴＥＮＴＩＡＬＳＩＮＭＹＯＣＡＲＤＩＵＭＷｕＪｉｅ（吴捷）；ＳｕｎＸｉａｏｄｏｎｇ（孙晓东）；ＹｕＸｉａｏｊｉ...     

沙棘总黄酮对豚鼠心室肌电活动的影响

本文采用细胞内固定微电极技术观察了沙棘总黄酮对哇巴因诱发的心律失常模型和豚鼠心室肌正常电机械活动的影响。结果表明,沙棘总黄酮可抑制哇巴因诱发的心室肌振荡后电位,降低哇巴因诱发的心室肌自发电活动频率,使心室乳头状肌动作电位复极50%的时程(APD_(50))缩短,同时还观察到在沙棘总黄酮的作用下,乳头状肌收缩力下降。提示沙棘总黄酮具有抗心律失常作用,其作用机理主要与影响细胞膜Ca~(2+),K~+转运有关。     

Object tracking and tracing: Hidden semi-Markov model based probabilistic location determination

The enhancement of radio frequency identification (RFID) technology to track and trace objects has attracted a lot of attention from the healthcare and the supply chain industry. However, RFID systems do not always function reliably under complex and variable deployment environment. In many cases, RFID systems provide only probabilistic observations of object states. Thus, an approach to predict, record and track real world object states based upon probabilistic RFID observations is required. Hidden Markov model (HMM) has been used in the field of probabilistic location determination. But the inherent duration probability density of a state in HMM is exponential, which may be inappropriate for modeling of object location transitions. Hence, in this paper, we put forward a hidden semi-Markov model (HSMM) based approach for probabilistic location determination. We evaluated its performance comparing with that of the HMM-based approach. The results show that the HSMM-based approach provides a more accurate determination of real world object states based on observation data.