Explorations in Makespan and Energy- Consumption-Oriented Multi-Objective Workflow Scheduling Algorithms

在传统的多处理器调度系统当中，应用程序所追求的主要目标是该应用程序 的完成时间尽可能的少。然而近些年来，应用程序在执行过程中所消耗的能量越 来越引起人们的广泛关注。因此，在现代多处理器调度系统当中，以应用程序的 完成时间和能量消耗为目标多目标工作流调度问题就成为调度领域的热点前沿 问题。动态电压缩放技术（DynamicVoltageScaling,DVS）作为人们研究调度算法 的有效技术之一，更是受到人们越来越多的关注。DVS技术支持动态调节处理器 的电压等级值，这就为在应用程序的完成时间和能量消耗之间取得较好的平衡提 供了技术支持。因此，在本课题中，我们所研究的主要问题：如何将...Energy consumption has recently become a major concern to multiprocessor systems, of which the primary performance goal has traditionally been reducing execution time of applications. In the context of scheduling, there have been increasing research interests on algorithms using Dynamic Voltage Scaling (DVS), which allows processors to operate at lower...学位：工学硕士院系专业：信息科学与技术学院_计算机科学与技术学号：2302012115294

石墨烯导电防腐涂料的制备和性能评价研究

目的制备一种石墨烯基导电防腐涂料,评价和分析涂料的长效防腐机理和导电机制。方法以环氧树脂为主要成膜物质,通过导电填料和防腐填料搭配并配方优化,制备新型石墨烯导电防腐涂料。通过基本性能的检测、电化学工作站测试、中性盐雾实验、实地埋样试验及大电流冲击实验,探究导电防腐涂层的防腐机理和失效衍化过程,并考察涂层的电气性能。结果制备的导电防腐涂料不仅基本性能(附着力、耐冲击性及涂层结合强度)优异,还具有优异的耐水、耐中性盐雾和耐化学品性,经盐雾实验1500h测试后,涂层完整且湿附着力仍表现良好。电化学系统测试表明,在3.5%NaCl溶液中浸泡60 d后,涂层仍具有较好的防护性能。涂层的体积电阻率和表面接触电阻分别为0.21??cm和6.32??cm2。经5 kA大电流冲击试验5次后,未发现涂层开裂、剥落和烧毁等情况,表明若干次大电流冲击对导电防腐涂层无明显影响。结论该配方的导电防腐涂料具有较好的耐蚀性及电气性能

石墨烯改性重防腐涂料在世界最高输电铁塔的防腐应用

针对世界第一380 m输电铁塔在临海海洋大气腐蚀环境的防腐耐候需求,设计石墨烯改性重防腐涂料体系(包括环氧石墨烯防腐底漆、环氧石墨烯阻隔中间漆和氟碳耐候面漆,其中氟碳面漆采用红白相间颜色,具有防腐和航空标识功能)对输电铁塔进行防护涂装。通过实验室配方优化、石墨烯改性重防腐涂料性能检测和示范工程涂装,最终定型涂料配方体系。同时针对临海环境室外涂装工况,介绍石墨烯改性重防腐涂料在铁塔镀锌管件的施工工艺和施工经验

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