基于自适应搜索的空时上下文目标跟踪算法

视频监控行业已经快速进入了智能监控的时代.然而,自然非受控条件下获取的视频中,环境复杂多变,对其中各类行人目标检测跟踪带来挑战.针对各种复杂场景及不同目标,如何设计实现效率高、鲁棒性好、实时性强的目标跟踪识别技术仍然是当今业界研究的热点及难点.因此以监控领域非刚性的行人为主要研究对象,拟实现目标稳定检测跟踪,尤其是提高复杂背景下行人跟踪的精度.实验表明本文所提算法的重叠率准则(OR)和跟踪中心误差(CLE)超过现有最优目标跟踪算法算法,同时其跟踪速度也超过大多数算法.福建省教育厅科技项目(AT170435

大数据环境下图书馆用户个人的信息保护研究

本文从技术角度对大数据环境下图书馆用户个人的信息保护进行研究,探讨目前主流的用户个人信息保护技术,基于用户身份加密和属性加密的双重算法对用户信息保护的方法,结果满足图书馆个人信息保护需求,得出在大数据环境下用户身份和属性双重加密能够提高图书馆用户个人信息的保护能力.福建省中青年教师教育科研项目(JZ170332);福建省中青年教师教育科研项目(JAT170436

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