化学方法分析φ100mm小圆锯片的成分

利用化学方法分析φ100mm小圆锯片的成分,包括定性和定量分析两部分,通过对该工具的分析提取其生产配方,拟定生产工艺,并探讨了产品的使用效率,有利于产品的创优地位。     

锰的测定中锰黄铜溶样方法

本文报道一个快速和比较准确的锰黄铜溶样方法,采用HCl-H2O2溶解试样,然后,加入硫、磷混合酸.加热至冒硫酸烟驱赶盐酸。以AgNO3为催化剂,用(NH4)S2O8将锰氧化成七价,用亚砷酸钠一亚硝酸钠标准溶液滴定,获得满意测定结果。     

铁矿石中全铁含量的测定-EDTA滴定法

本文提出用EDTA络合滴定法取代经典的K2Cr2O7法测定铁矿石中全铁含量.避免因经典法加入饱和HgCl2溶液而造成环境污染.有害人的健康。本文报道的测定方法操作简便,结果准确。     

碳化钨在金刚石磨具中的应用

在金刚石磨具的金属结合剂中适当加入WC,可以提高胎体硬度耐磨性和自锐性等物理机械性能,从而取得实用效果,本文在这方面进行探讨作简单介绍。     

关于人造金刚石热稳定性的探讨

本文采用热失重实验对人造金刚石的热稳定性进行检测,对人造金刚石质量检查进行探讨,提出应对人造金刚石热稳定性进行检测才能很好地反映材料的客观使用情况的观念。     

一般网络拓扑结构的CCN数据传输近似模型(英文)

Recently,Content-Centric Networking(CCN) has been paid more and more attention.The modeling of CCN as an important research point is the foundation of the architecture.The past work of cache network modeling always assumes the virtual round trip time(VRTT) is zero for simplicity.However,this assumption isn't practical and results in model error especially in CCN.CCN's router can aggregate the content requests during the VRTT to avoid content delivery repeatedly.Thus,to modeling CCN data transfer,as well as understanding how it should be managed,the VRTT shouldn't be ignored.In this paper,we model the data transfer in CCN,and propose a multi-cache with aggregation approximation(MCAA)algorithm to get the content miss rate and VRTT at each router.Simulation results show the validity of our MCAA algorithm.     

一种基于逗留时间的新型内容中心网络缓存策略

内容中心网络(Content-Centric Networking,CCN)作为一种以内容为中心进行路由、缓存的新型未来网络体系架构受到了广泛的关注.在CCN中,关键技术问题之一是网络缓存问题,现有方案主要采用ALWAYS-LRU缓存策略,然而该策略容易出现相邻节点重复缓存的问题,使得网络整体缓存效率较低.针对这一问题,文中提出了一种基于逗留时间的新型缓存决定策略,设计了一种适用于CCN的合作缓存机制.在请求泊松到达的假设下,通过在单个缓存器对LRU(Least Recently Used)替换策略使用马尔可夫链建模,该文得到了内容在各缓存器平均逗留时间的近似计算公式.数值仿真结果显示,该方案相比传统缓存策略,有效地提升了网络缓存的效率和缓存内容的多样性,进而减少了用户请求服务的总跳数,增加了内容访问的命中率.     

花岗岩墓碑石加工用金刚石磨具的研究及应用

提高花岗岩墓碑石加工用金刚石磨具的性能,在金属结合剂中适当加入一定量WC,SiC,可以提高磨块胎体的硬度,耐磨性,及其磨块锋利性等性能。结果表明,用此法可获得较好的实用效果和最佳的经济效益。     

一种基于区域划分的虚拟网映射新算法

目前多数启发式虚拟网映射算法是通过在限制性约束条件上构建映射优化目标函数,从而求得虚拟网映射次优解,存在映射匹配方程求解复杂、计算开销大、缺乏具体路径选择方法等问题.该文基于负载平衡路由和小区分结构的思想设计一种虚拟网映射算法VLB-VNE(Valiant Load-Balancing-Virtual Network ...     

基于拓扑感知的虚网映射算法框架（英文）

The virtual network embedding/mapping problem is an important issue in network virtualization in Software-Defined Networking(SDN).It is mainly concerned with mapping virtual network requests,which could be a set of SDN flows,onto a shared substrate network automatically and efficiently.Previous researches mainly focus on developing heuristic algorithms for general topology virtual network.In practice however,the virtual network is usually generated with specific topology for specific purpose.Thus,it is a challenge to optimize the heuristic algorithms with these topology information.In order to deal with this problem,we propose a topology-cognitive algorithm framework,which is composed of a guiding principle for topology algorithm developing and a compound algorithm.The compound algorithm is composed of several subalgorithms,which are optimized for specific topologies.We develop star,tree,and ring topology algorithms as examples,other subalgorithms can be easily achieved following the same framework.The simulation results show that the topology-cognitive algorithm framework is effective in developing new topology algorithms,and the developed compound algorithm greatly enhances the performance of the Revenue/Cost(R/C) ratio and the Runtime than traditional heuristic algorithms for multi-topology virtual network embedding problem.