Research and Application of the Intelligent Data Exchange Platform

中国电信集团已开展全网移动计费运营，全国计费结算中心与各省计费结算中心之间的纵向数据传输实时性越来越高，数据种类越来越多，并且不断涌现出大型甚至超大型的运营数据中心。目前大部分省计费结算中心都依托综合结算系统的前置采集机进行数据交换，这些系统建设各异，没有统一的接入标准和保障机制，缺乏数据安全保障和数据管理机制，从全网运营的情况来看，数据交换的故障、延迟、数据传送丢失等问题屡见不鲜，影响了各省移动信控的顺利展开。为了保证这些数据中心的高效率运作，数据管理与数据交换技术成为这些数据中心在数据信息实施中重点关注的主题。本文对面向电信行业专项领域的数据信息进行了重点研究，立足于基本的电信数据交换业务...China telecom group has started to operate mobile billing. The data transfer between country billing and collection center and all provinces billing and collection center need to be more in real time. Currently most provinces billing and collection center use integrated collection system to exchange data. And all the systems are different. They don’t have uniform access standard and guarantee mec...学位：工程硕士院系专业：软件学院_工程硕士(软件工程)学号：X200823010

VH-CATT啮合过程弹流润滑最小油膜厚度分析

基于变双曲圆弧齿线圆柱齿轮（VH-CATT）的齿面方程，利用齿轮啮合原理进行啮合过程中的齿面接触分析，得到VH-CATT齿轮副凹、凸齿面啮合过程中各啮合点的位置分布。根据齿轮几何学原理，推导出VH-CATT齿轮副凹、凸齿面各啮合点处的主曲率、卷吸速度等弹流润滑重要参数的计算公式。采用Downson-Higginson最小油膜厚度模型进行VH-CATT啮合过程弹流润滑最小油膜厚度分析，得到齿轮副在不同齿轮设计参数下啮合过程中弹流润滑最小油膜厚度的变化规律。理论分析表明，VH-CATT主动轮（凹齿面）齿根处与从动轮（凸齿面）齿顶处润滑情况最差，此处最易出现齿面摩擦磨损失效；输入转速增加，最小油膜厚度大幅增加，润滑性能得到提升；输入载荷增加，最小油膜厚度略微减小，齿轮具有抗冲击载荷的特性；压力角增加，最小油膜厚度增加，润滑性能与承载能力得到提升；齿线半径增加，最小油膜厚度轻微减小，选用合理的刀盘半径加工该齿轮有利于提高润滑性能。研究结果为VH-CATT润滑设计、磨损量计算提供了一定的理论依据

湖北兴山发现霍氏缺齿鼩

2016年12月,在湖北省兴山县采集到1只食虫类标本。其体型较小(头体长75.00 mm),通体呈棕褐色,尾较长(82.00 mm),眼细小。头骨扁平,较为坚固,齿尖具有浅红棕色色斑。通过测定其线粒体Cyt b基因序列,并结合缺齿鼩属6个物种的同源区序列,构建其系统发生关系,发现该标本与基因库中霍氏缺齿鼩(Chodsigoa hoffmanni)序列聚为具较高支持度的一支。综合形态学与系统发育学证据,将该标本鉴定为霍氏缺齿鼩。此次发现是湖北省境内该物种的首次记录,也是其在我国云南省及越南分布区外的又一发现,拓展了对该物种在我国分布范围的认识

乌梁素海湖泊沉积物粒度特征及其环境指示意义/Grain Size Characteristics and Its Environmental Significance of Lacustrine Sediment Recorded in Wuliangsu Lake, Inner Mongolia[J]

结合放射性同位素测年,在对乌梁素海湖泊沉积物粒度的分析基础上,结合黄河以及河套地区相关文献资料,探讨乌梁素海在自然和人类活动共同作用下的演变过程.乌梁素海沉积物中黏土(＜4 μm)平均含量28.7％、细粉砂(4～16 μm)平均含量34.4％、中粉砂(16～32μm)平均含量17.3％、粗粉砂(32～ 64 μm)组分平均含量14.1％、砂质组分(＞ 64 μm)含量整体较低,平均含量为5.5％.沉积物不同粒级范围颗粒含量的相关性分析表明,在1965年左右(岩芯深度20 em)乌梁素海沉积物组分特征发生了明显变化.基于此,结合前期对湖泊沉积物中元素含量特征的分析,利用粒径-标准偏差方法,通过对比黄河泥沙以及流域沉积物的粒度特征,研究了约1965年前后两个时段的沉积物来源.尽管乌梁素海湖泊沉积物主要来源于黄河携带的泥沙以及河套平原灌溉退水携带的大量流域表土侵蚀物质,但同一物源组分在1965年前后这两个不同的演化阶段具有不同的粒级特征.1965年之前,＜ 19.95 μm的粒级组分反映了河套平原灌溉退水携带的流域表层侵蚀物质组分特征,而19.95～181.97 μm的粗颗粒组分反映了黄河径流携带的泥沙,后者决定了乌梁素海沉积物的粒级特征.1965年以来,这两种不同来源组分的粒级变细,灌溉退水携带的流域表土侵蚀物质(＜5.71 μm组分)控制了湖泊沉积物的粒度特征,并与总排干入乌梁素海的水量变化、围湖建堤以及扬水站的修建等人类活动强度密切相关.总体来看,上世纪六十年代以来,乌梁素海湖泊沉积物的粒度组成受人类施加的影响已经超越了自然作用的影响

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies