A Self-tuning Fuzzy Queue Management Algorithm for Congestion Control

This letter presents an effective self-tuning fuzzy queue management algorithm for congestion control.With the application of the algorithm, routers in IP network regulate its packet drop probability by a self-tuning fuzzy controller. The main advantage of the algorithm is that, with the parameter self-tuning mechanism, queue length can keep stable in a variety of network environments without the difficulty of parameter configuration. Simulations show that the algorithm is efficient, stable and outperforms the popular RED queue management algorithm significantly.     

Fair Resource Allocation in Networks with Coexisting Unicast and Multirate Multicast Flows

To maximize the aggregate user utility in networks with both multirate multicast and unicast traffic, a unified convex program formulation of the problem is used to integrate multicast and unicast sessions into a common framework, which also takes into account the heterogeneity of multicast receivers. By applying a penalty function approach, a heuristic rate control algorithm is derived. In the distributed implementation of the algorithm in IP networks, core routers employ Random Early Detection (RED) to mark packets in the case of congestion; end-users analyze congestion feedback information and update their rates to calculated optimal values. With an appropriate choice of utility functions and parameters, multicast and unicast sessions can share network resources in the proportional fair manner. Simulation results prove the algorithm‘ s effectiveness. Study is also done on the effect of bandwidth discretization density upon resource allocation fairness in a layered multicast scenario.     

量子纠缠控制的核磁共振实验演示

量子纠缠在量子信息领域中有着极重要的应用,是当前人们研究的热门课题之一[1-2].量子纠缠控制是一种量子相干控制,即系统的量子力学进程在我们的控制之下,并使之产生期望的结果[3-4].我们在一个3量子位的核磁共振量子计算机实现了2个方面量子纠缠控制:纠缠互换与存储.我们使用赝纯态作为系统的初始状态.通过赝纯态,系统的微观性质可用宏观信号表述出来.     

固相萃取-气相色谱-质谱联机分析蜂蜜中的氯霉素残留量

利用固相萃取气相色谱质谱联机分析蜂蜜中的氯霉素残留量.对氯霉素在固相萃取柱上的保留行为进行了研究,优化固相萃取条件,发现不同浓度的氯霉素在硅胶柱和C18柱上的回收率均在90%以上,蜂蜜加标的回收率为80%～95%,相对标准偏差为7.2%～18.2%,最低检出限为0.1μg·kg-1.对氯霉素的三甲基硅烷化衍生物采用选择离子的模式进行检测(m/Z=466,468,470),衍生物的峰面积与样品质量浓度在0.55～220μg*L-1范围内呈良好的线性关系,线性回归系数为0.9998.Ζ=466,468,470)衍生物的峰面积与样品质量浓度在0.55～220μhg·L-1范围内呈良好的线性关系,线性回归系数为0.9998.     

偶联剂改善沥青混凝土性能及油石界面试验研究

试验探讨了偶联剂作为油石界面改性剂对沥青混凝土性能改善的可能性.试验发现,偶联剂无论对酸性花岗岩石料还是中性玄武岩石料的沥青混凝土性能都具有明显的改善作用.添加偶联剂的沥青,对石料的黏附等级达到5级,而改性前的沥青与花岗岩和玄武岩的黏附等级仅为2级和3级;马歇尔稳定度比基质沥青混凝土提高10%～20%,马歇尔模数提高约6%,残留马歇尔稳定度提高18%～28%,3次冻融循环后的劈裂强度比相对于基质沥青混凝土提高25%～33%.红外光谱分析证实,偶联剂在花岗岩和玄武岩石料表面均形成一层偶联层.消耗石料表面残留水分、形成偶联化层和提高沥青在石料表面的润湿速度是硅烷偶联剂改善油石界面的根本原因.     

喀斯特高原山区刺梨种植空间格局变化与地形土壤影响因素——以贵州省盘州市为例

为了研究近年来喀斯特高原山区刺梨种植空间格局变化与地形土壤的影响,以盘州市为例,对影像采用目视解译、地学统计分析及实地调研等方法获取2017年和2019年的刺梨种植空间分布特征,引入RS和GIS技术手段详细研究了2017年和2019年的刺梨种植空间分布格局时空变化特征与地形因子、土壤养分含量之间的相关性.研究结果表明:①受海拔、地貌类型和城市分布的影响,通过2017年和2019年的刺梨种植空间分布格局两期监测数据,直观地看出盘州市刺梨种植主要在除中部以外区域的空间分布特征;②盘州市刺梨种植空间分布面积占比情况和种植面积增加区域的占比情况均与全市的坡度分类面积占比规律一致,其坡度类型占比最大为缓陡坡,2017年和2019年刺梨种植空间分布主要在缓陡坡类型,2019年相比较2017年在各个坡度等级种植面积均有增加,在缓陡坡类型刺梨种植增长量占比最大,刺梨种植面积占比主要分布在地形起伏度为70～200 m范围内;③盘州市的土壤pH平均值约为5.98,为适宜种植刺梨的微酸性土壤,有机质、全氮、速效钾等含量主要为丰富和极丰富范围值,有效磷的含量较低,但土壤中各元素含量的丰富程度符合刺梨种植空间分布格局及变化情况.     

核电厂化学和容积控制系统压力测量仪表检验周期延长论证分析

在核电厂长燃料循环周期的论证过程中,仪表标定周期延长的论证是很重要的一个部分。通过对化学和容积控制系统典型的压力测量仪表数据收集和统计分析,采用AFAL方法论证其周期延长的可行性。研究表明:该类仪表具有较好的稳定性,将检验周期延长到18个月后,其安全功能不低于原周期情况下的安全水平,周期延长可行。     

Financial volatility modeling: The feedback asymmetric conditional autoregressive range model

An implied assumption in the asymmetric conditional autoregressive range (ACARR) model is that upward range is independent of downward range. This paper scrutinizes this assumption on a broad variety of stock indices. Instead of independence, we find significant cross‐interdependence between the upward range and the downward range. Regression test shows that the cross‐interdependence cannot be explained by leverage effect. To include the cross‐interdependence, a feedback asymmetric conditional autoregressive range (FACARR) model is proposed. Empirical studies are performed on a variety of stock indices, and the results show that the FACARR model outperforms the ACARR model with high significance for both in‐sample and out‐of‐sample forecasting.