Design and Implementation of Data Desensitization Platform for Securities Companies Based on IBM Optim

数据脱敏是为了满足非生产环境中对数据的使用要求，而采取的通过一些规则对数据进行变形，从而达到对隐私数据保护的需求。对于证券公司而言，开发和测试环境中多使用真实的用户数据，采取脱敏手段来保护用户的隐私成了必要的环节。然而由于证券公司用户数据不仅量大，而且涉及到用户的敏感、保密数据信息，这些对数据脱敏来说都是一个不小的挑战。对大数据量进行脱敏还会涉及到许多编码、中文字符如何处理等问题。 本文从证券公司的数据脱敏的业务和用户需求出发，深入分析证券公司的数据脱敏的现状及问题，确定了需要实现对生产环境数据源进行有效的变形处理，屏蔽涉及客户关键信息的敏感数据，保证测试数据维护生产数据的基本属性和依赖关系...Data desensitization is to meet the non-production environments require data, taken by some of the rules for data modification, so as to achieve the demand for privacy data protection. For securities companies, development and test environments using real multi-user data, desensitization to take measures to protect users' privacy has become a necessary part. However, since the user data is not onl...学位：工程硕士院系专业：软件学院_工程硕士(软件工程)学号：X201323238

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