运营商IT支撑系统“去IOE”思路探讨

结合移动互联网时代电信运营商发展流量经营的背景,从业务驱动的角度出发,提出了运营商IT支撑系统“去IOE”的初步思路,即采用新型互联网化系统架构,在建立云平台与大数据平台的基础上,利用核心系统轻量化、分布式重构等技术手段,逐步摆脱“IOE”的束缚。     

基于电信运营商固网DPI系统的大数据清洗方案探讨

随着大数据时代的到来,传统电信运营商也加入到大数据业务开展的庞大阵营中来。固网DPI系统采集到的HTTP等信息为运营商开展对内、对外的大数据业务提供了重要数据支撑。 由于DPI采集信息中含有大量的垃圾数据,在使用数据前对其进行清洗是非常必要的。文章提出一种针对电信运营商固网HTTP信息的清洗方案,经过现网试点部署验证可到80%以上的清洗率,大大节省了存储空间和网络传输带宽,对运营商开展固网大数据业务具有重要的借鉴意义。     

广州五仙观牌坊复原设计研究

广州五仙观历经多次变迁、重修、重建,牌坊早已不复存在,仅遗留了部分台基和数张历史照片.该文对五仙观牌坊进行了复原设计,并就设计过程中遇到的问题进行了探讨.通过对比各个时期照片来确定五仙观牌坊的建筑形制及其变迁过程,根据牌坊的建筑形制以及斗拱的细部特征将五仙观牌坊和岭南现存类似古建做对比研究,再结合文献记载对五仙观牌坊的年代进行推断.根据现状残留的台基、历史照片、以及类似古建筑推定五仙观牌坊的营造尺、色彩、构造等,提出具体的复原设计,为岭南同类牌坊复原方法提供了借鉴.     

Data‐driven mathematical modeling and global optimization framework for entire petrochemical planning operations

In this work we develop a novel modeling and global optimization‐based planning formulation, which predicts product yields and properties for all of the production units within a highly integrated refinery‐petrochemical complex. Distillation is modeled using swing‐cut theory, while data‐based nonlinear models are developed for other processing units. The parameters of the postulated models are globally optimized based on a large data set of daily production. Property indices in blending units are linearly additive and they are calculated on a weight or volume basis. Binary variables are introduced to denote unit and operation modes selection. The planning model is a large‐scale non‐convex mixed integer nonlinear optimization model, which is solved to ε‐global optimality. Computational results for multiple case studies indicate that we achieve a significant profit increase (37–65%) using the proposed data‐driven global optimization framework. Finally, a user‐friendly interface is presented which enables automated updating of demand, specification, and cost parameters. © 2016 American Institute of Chemical Engineers AIChE J, 62: 3020–3040, 2016     

大落差天然气管道水合物生成特点分析

为了分析中缅天然气管道大落差管道的水合物生成情况,以龙陵输气站至弥渡输气站间总长度为250 km、最大相对高差为1 654 m的管段为研究对象,以Pipeline Studio和PVTSIM软件为工具,建立了中缅天然气管道大落差管段仿真模型。以此为基础,计算了不同输量下管道沿线的压力、温度分布及水合物生成条件。通过沿线温度与水合物生成温度的对比,分析了水合物的生成情况。结果表明,受地形起伏影响,在管道的局部高点处,天然气的温度可低于地温7℃以上,使管道面临生成水合物的风险,提出了针对性的水合物防治措施。     

大型屋面板裂缝的产生及预防

分析了G410大型屋面板裂缝产生的原因及防治办法。     

SOI技术及其设备

介绍了SOI技术的特点和制造方法、超薄SOI技术,应变硅SOI技术及其设备,如大束流专用氧离子注入机。     

Impact of Coronavirus Pandemic Crisis on Technologies and Cloud Computing Applications

In light of the coronavirus disease 2019 (COVID-19) outbreak caused by the novel coronavirus, companies and institutions have instructed their employees to work from home as a precautionary measure to reduce the risk of contagion. Employees, however, have been exposed to different security risks because of working from home. Moreover, the rapid global spread of COVID-19 has increased the volume of data generated from various sources. Working from home depends mainly on cloud computing (CC) applications that help employees to efficiently accomplish their tasks. The cloud computing environment (CCE) is an unsung hero in the COVID-19 pandemic crisis. It consists of the fast-paced practices for services that reflect the trend of rapidly deployable applications for maintaining data. Despite the increase in the use of CC applications, there is an ongoing research challenge in the domains of CCE concerning data, guaranteeing security, and the availability of CC applications. This paper, to the best of our knowledge, is the first paper that thoroughly explains the impact of the COVID-19 pandemic on CCE. Additionally, this paper also highlights the security risks of working from home during the COVID-19 pandemic.     

融合学习路径的管理类数据挖掘课程教学改革

本文依据职位信息描述→慕课的学习路径分析→高校管理类数据挖掘课程体系改革为探索思路和实践线索,依据大数据分析实现管理类数据挖掘课程体系改革的路径分析.首先对职位信息进行采样和抽取,然后对学员的慕课学习路径进行预处理和数据挖掘,得到学员成功学习线路以及大量的辍学线路.通过实验提出高校管理类数据挖掘课程体系改革模式以及符合...     

大宗数据实时处理优化方法的研究及应用

主要讨论在需要进行大宗数据实时处理的企业级计算环境中影响系统处理性能的主要因素。以及如何通过优化处理方式规避这些因素、降低I／O并发冲突和提高系统实时处理性能的方法。对上述方法的风险进行了描述,并给出优化处理崩溃／恢复和保持数据一致性的策略。