基于MPLS的VPN互访技术

针对VPN互访问题,根据IPSec-VPN互访方法的不足,提出动态MPLS-VPN方法.利用随机分配的标签,在需要互访的不同VPN网络节点之间构建MPLS通道,利用互访规则集检验节点的连接申请,根据过滤规则控制数据包的传输,通过设定传输时长限制节点互访的时间,实现VPN之间接节点、按方向、按时间的细粒度互访控制,确保数据传输的安全性和高效性.给出动态MPLS-VPN方法实现互访的步骤,对方法进行分析比较.     

基于类属属性的多标记学习算法

在多标记学习框架中,每个对象由一个示例(属性向量)描述,却同时具有多个类别标记.在已有的多标记学习算法中,一种常用的策略是将相同的属性集合应用于所有类别标记的预测中.然而,该策略并不一定是最优选择,原因在于每个标记可能具有其自身独有的特征.基于这个假设,目前已经出现了基于标记的类属属性进行建模的多标记学习算法LIFT.LIFT包含两个步骤:属属性构建与分类模型训练.LIFT首先通过在标记的正类与负类示例上进行聚类分析,构建该标记的类属属性;然后,使用每个标记的类属属性训练对应的二类分类模型.在保留LIFT分类模型训练方法的同时,考察了另外3种多标记类属属性构造机制,从而实现LIFT算法的3种变体——LIFT-MDDM,LIFT-INSDIF以及LIFT-MLF.在12个数据集上进行了两组实验,验证了类属属性对多标记学习系统性能的影响以及LIFT采用的类属属性构造方法的有效性.     

混合估计多模粒子滤波的机动弱小目标检测前跟踪算法

针对低信噪比条件下的机动小目标实时检测与跟踪困难的问题, 提出一种基于混合估计多模粒子滤波的检测前跟踪改进算法. 首先根据前一时刻所采用的模型状态及其转移概率等先验信息实现当前时刻的模型采样; 然后在充分考虑当前量测下实现当前的粒子预测, 采用一种序贯重要性平滑重采样策略, 在不增加计算量的前提下, 改善了粒子多样性衰退的问题; 最后通过新的粒子集完成对模型和状态的合理估计与目标检测. 仿真结果验证了该方法的检测与跟踪性能优于传统的多模粒子滤波方法.

     

基于IOS平台的小型仓储管理系统设计

随着数字化、信息化技术在物流领域应用的飞速发展,各种各样的仓储管理系统日益受到关注。本文介绍的基于IOS平台的小型仓储管理系统是利用IOS设备对货物信息进行采集,通过SQLite数据库技术、ZXing库等软硬件方式构建的业务系统,可以较好地适应中小规模用户数据交互的需求。同时,系统具备造价低廉、操作便捷等优点。     

干酪素型啤酒标签胶的研究进展

从制备原理及分散体系、交联剂、改性助剂等方面综述了干酪素型啤酒标签胶的研究进展,并对该领域研究进行了展望。     

Construction, properties and specific fluorescent labeling of a bovine prothrombin mutant engineered with a free C-terminal cysteine

To define the role of phosphatidylserine-induced conformationalchanges in prothrombin activation during blood coagulation,a recombinant bovine prothrombin was constructed, characterizedand shown to have a globally native-like conformation. We introduceda cysteine to replace the penultimate residue (Gly581) of apreviously constructed active site mutant, and expressed thedouble mutant in Chinese hamster ovary cells at the level of0.6 µg/ml of cell culture medium. Specific labeling withfluorescein maleimide was accomplished by limited reductionwith dithiothreitol to free the engineered cysteine while maintainingthe native-like functional properties of the molecule. The averagestoichiometry of labeling was 0.84 probe/protein. The locationof the probe at the C-terminus was confirmed by proteolysisby native thrombin, by Taipan venom, and by carboxypeptidaseY. Both the double mutant and labeled prothrombin could be activatedby snake venoms and the prothrombinase but, as expected, thedouble mutant meizothrombin did not autolyze as does nativemeizothrombin. Thus, for the first time, a native-like but specificallylabeled prothrombin has been constructed. This molecule willbe an essential tool for elucidating the structural role ofmembranes during prothrombin activation. In addition, the methodsdescribed might be usefully applied to labeling of an odd, engineeredcysteine in other disulfide bond-containing proteins.     

跳汰分层准重液机理探讨

在总结了跳汰选煤长期生产实践的基础上 ,引入了准重液的概念 ,提出了跳汰分选过程中按准重液密度分层的假说 ;准重液密度 =(矿粒重力 -流体对矿粒流动阻力 ) 矿粒体积     

求解高维函数优化问题的交叉熵蝙蝠算法

为改善蝙蝠算法求解高维函数优化问题的全局搜索能力,提高其搜索精度,将交叉熵方法和蝙蝠算法相结合,提出一种交叉熵蝙蝠算法。该算法将基于重要度抽样和Kullback-Leibler距离的交叉熵全局随机优化算法应用于蝙蝠算法中,采用自适应平滑技术提高算法的收敛速度,利用交叉熵方法的遍历性、自适应性和鲁棒性,有效抑制蝙蝠算法的早熟收敛现象。对经典测试函数和CEC2005测试函数的仿真结果表明,该算法具有全局搜索能力强、求解精度高和鲁棒性好等特性。     

Bidirectional Label Propagation over Graphs

Graph-Based label propagation algorithms are popular in the state-of-the-art semi-supervised learning research. The key idea underlying this algorithmic family is to enforce labeling consistency between any two examples with a positive similarity. However, negative similarities or dissimilarities are equivalently valuable in practice. To this end, we simultaneously leverage similarities and dissimilarities in our proposed semi-supervised learning algorithm which we term Bidirectional Label Propagation (BLP). Different from previous label propagation mechanisms that proceed along a single direction of graph edges, the BLP algorithm can propagate labels along not only positive but also negative edge directions. By using an initial neighborhood graph and class assignment constraints inherent among the labeled examples, a set of class-specific graphs are learned, which include both positive and negative edges and thus reveal discriminative cues. Over the learned graphs, a convex propagation criterion is carried out to ensure consistent labelings along the positive edges and inconsistent labelings along the negative edges. Experimental evidence discovered in synthetic and real-world datasets validates excellent performance of the proposed BLP algorithm.     

气液交叉流阵列PM2.5热泳和扩散泳拟传质模型

基于气溶胶中PM2.5微细颗粒物拟流体特性，对气液交叉流阵列中PM2.5在气溶胶流体传热传质边界层内热泳和扩散泳运动进行拟传质机理分析，与跟随气体的对流传质相叠加，建立了气液交叉流阵列PM2.5热泳和扩散泳拟传质模型，并进行了实验检验。实验在固定对流条件下，考察了不同气液相温度差导致的热泳、不同气相湿度差导致的扩散泳和颗粒粒径等因素对气液交叉流阵列PM2.5拟传质系数的影响。实验数据统计值与模型表达趋势一致，在初始温差40℃、初始湿度0.118 kg/kg条件下，100排气液交叉流阵列PM2.5拟传质系数模型预测值为3.33×10^-3 m/s、实验值为3.75×10^-3 m/s。