Research on Opportunistic Content Recommendation Algorithm for Mobile Communication Network

互联网呈现媒体化和移动化两个显著发展趋势，这导致人们面向内容的流量需求急剧增长。因此能同时应对移动网络媒体化和移动化的移动内容分发网络(MobileContentDeliveryNetwork简称MobileCDN)的重要性日益突出。另一方面，受未来基站密集化、小型化的发展趋势以及移动流量使用时空上分布不均等影响，无线接入网络存在大量冗余资源。如何合理利用该部分冗余资源也成为业界研究的热点。 本文基于互联网媒体化和移动化的发展趋势，提出了一种新型的基于移动网络冗余资源的机会性内容推荐方案。该方案把内容推荐系统与移动网络的冗余容量感知相结合，实现基于本地冗余资源的机会性内容推荐。我们的方案利用...Since media and mobilization are two notable trends in contemporary Internet development, the demand for content in mobile communication network growth rapidly. So the importance of the MCDN (Mobile Content Delivery Network) is becoming increasingly prominent, which can cater the trends of the internet simultaneously. On the other hand, there are a lot of redundant resources in the wireless access...学位：工学硕士院系专业：信息科学与技术学院_工程硕士(电子与通信工程)学号：2332014115328

考虑光伏消纳的配电网储能与直流选址定容协同规划

大规模分布式光伏的接入将对配电网的安全经济运行带来重要影响，分布式光伏发电的时效性变化和光伏装机的区域性差异为有效进行新能源消纳带来挑战。为此，通过提出配电网储能与直流线路协同规划架构，针对光伏随时间波动的不平衡，使用储能装置进行电能存储，实现电力的削峰填谷。针对区域光伏分布不均，通过建设直流线路以实现区域间能量互济，消纳光伏溢出区域的发电量。进一步，以投资成本、维护成本和电能费用构成的年综合费用最小为目标，构建储能及直流线路选址定容的交直流配电网优化规划问题，实现区域内和区域间光伏溢出功率的高质量、高经济性消纳。最后，基于改进的IEEE 13节点算例及多种规划方案，对比验证了模型的有效性与合理性

SOA全光波长转换技术研究及其发展

全光波长转换技术在波分复用网络中有着非常重要的作用,尤其是基于SOA（半导体光放大器）的全光波长转换技术,已有较为成熟的理论研究,但其性能上仍存在很多不足。文章对基于SOA的全光波长转换技术的原理和性能特点进行了分析和比较。由最基础的不同类型的基于SOA的全光波长转换技术扩展到改进的技术方案,对不同结构和类型的全光波长转换技术进行了特性分析和比较,并对它们的应用前景和发展方向进行了展望。结果表明,通过改变SOA的增益特性或者改变系统结构,均能在不同方面改善全光波长转换技术的性能参数

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors