Design and Implementation of P2P Internet Lending System

在过去的几年，随着网上银行和第三方支付的日益普及，互联网金融产业得到了蓬勃发展。作为互联网金融的一个重要分支，普惠金融的重要手段之一，P2P网络借贷行业由于消息对称、方便快捷、成本低廉等特点正逐步成为民间借贷的互联网版本。作此研究对网络借贷平台的设计和运营具有重要的理论价值和实际意义。 本文通过对银行业、证券业从业人员、第三方支付从业人员和借贷双方的调研，建立了一套规范化的网上借贷流程。本文分别从个人用户和管理员的角度分析了平台的功能需求，系统基于JAVA语言开发，重点设计了会员注册、会员投资、用户账户统计、贷款管理、资金管理五大模块，并详细介绍了具体的实现方法。鉴于平台的准金融属性，本文还...In the past few years, with the growing popularity of online banking and third party payments, Internet banking industry has been booming. As an important branch of the Internet finance, one of the important means of inclusive finance, P2P network lending industry due to news symmetrical, convenient, and low cost and so it is becoming an Internet version of private lending. Such search has importa...学位：工程硕士院系专业：软件学院_工程硕士(软件工程)学号：X201323083

智能制造刀具管理系统及刀具剩余寿命监测功能开发

伴随智能制造技术的深入推进,刀具管理系统的功能根据用户业务需求在不断拓展。针对工艺设计后的刀具选购、使用直至报废等环节,基于\"刀具流\"开发了一款智能制造刀具管理系统,更精确地实现了刀具使用过程的数字化、网络化、智能化和可视化全生命周期管理。鉴于目前刀具状态监测技术的复杂和可靠性低等问题,在工程应用上提出了一种基于被加工工件表面粗糙度间接预测刀具剩余寿命的方法。整个系统在现场得到了良好应用。2016年工信部智能制造综合标准化与新模式应用项目(工信部联装[2016]213号);;国家自然科学基金项目(51605403);;福建省产业技术联合创新专项(闽发改投资[2016]482号

Using Hierarchial Clustering and No-metric MDS to Explore Spatio-temporal Variation of Benthic Community at Intertidal in Shenzhen Bay

应用等级聚类与非线性多维标度排序两种多变量统计分析方法研究了深圳湾潮间带底栖动物群落结构的时空变化 .结果表明 :1)底栖动物群落在深圳福田 A断面上与香港米埔 RB和 ET断面上有较明显的差异 ,在 A断面高潮区与中、低潮区也有较明显的空间差异 .2 ) RB和 ET断面底栖动物群落有明显的季节变化 .温度、盐度和潮汐是影响群落结构变化的主要因子The spatio temporal variation law of benthic community structure at Shenzhen Bay was studied, by using two multivariate statistic analytical techniques, Hierarchical Clustering and No metric MDS. The results indicated that: 1) There was distinct space difference in benthic community structure between Section A and Section RB or ET, which are located at Futian in Shenzhen and Mipu in Hong Kong separately. There was also distinct space difference in benthic community structure between high tide area and low tide area in Section A. 2) Benthic community impacted by seasons had obvious variation at Section RB and Section ET. Salinity and tides were likely to be two most important factors, which resulted in the above phenomena. The analytical results also shew that where there was a steady gradation in community structure, No metric MDS can show this continuous variation more effectively than Hierarchical Clustering

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