移动边缘计算环境下的动态资源分配策略

在通讯设备爆炸式增长的时代,移动边缘计算作为5G通讯技术的核心技术之一,对其进行合理的资源分配显得尤为重要。移动边缘计算的思想是把云计算中心下沉到基站部署(边缘云),使云计算中心更加靠近用户,以快速解决计算资源分配问题。但是,相对于大型的云计算中心,边缘云的计算资源有限,传统的虚拟机分配方式不足以灵活应对边缘云的计算资源分配问题。为解决此问题,提出一种根据用户综合需求变化的动态计算资源和频谱分配算法(DRFAA),采用"分治"策略,并将资源模拟成"流体"资源进行分配,以寻求较大的吞吐量和较低的传输时延。实验仿真结果显示,动态计算资源和频谱分配算法可以有效地降低用户与边缘云之间的传输时延,也可以提高边缘云的吞吐量。     

Digital Twin Enhanced Dynamic Job-Shop Scheduling

For dynamic scheduling, which is daily decision-making in a job-shop, machine availability prediction, disturbance detection and performance evaluation are always common bottlenecks. Previous research efforts on addressing the bottlenecks primarily emphasize on the analysis of data from the physical job-shop, but with little connection and convergence with its virtual models and simulated data. By introducing digital twin (DT), further convergence between physical and virtual spaces of the job-shop can be achieved, which greatly enables dynamic scheduling. DT fuses both real and simulated data to provide more information for the prediction of machine availability on one hand; and on the other hand, it helps to detect disturbances through comparing the physical machine with its continuously updated digital counterpart in real time, triggering timely rescheduling when needed. It also enables comprehensive performance evaluation for rescheduling using multiple-dimension models, which can describe geometric properties, physics parameters and behaviors of the machines. In the paper, a five-dimension DT for a machine in the job-shop is introduced first, then the DT-based machine availability prediction, disturbance detection and performance evaluation methods are explored. Based on this, a DT-enhanced dynamic scheduling methodology is proposed. A scheduling process of making hydraulic valves in a machining job-shop is taken as a case study to illustrate the effectiveness and advantages of the proposed method.     

非相似度保持投影

由主成分分析(PCA)可知任何一幅人脸图像都可以通过一组特征脸的线性加权来重构,PCA是最小均方误差意义下图像的最优表示,但是传统的PCA最终只通过比较加权系数的欧氏距离来进行识别,没有考虑残差。因此,提出非相似尺度的概念,将两个样本同时投影到相同向量上,在确定它们关系时既考虑投影系数,也考虑重构所产生的残差。两者的投影系数和残差相差越大,说明这两个样本越不相似。和保局投影(LPP)有所不同,非相似度保持投影算法不必预先设定近邻个数,它是利用非相似度的概念,创建非相似度散布矩阵,最终通过最大化目标函数获取最优子空间。在AR库和Feret库上的实验结果证明了该方法的有效性。     

小型预制桩基础承载特性数值模拟研究

本文建立硬化土本构模型,针对江苏省软土地区的土质条件选取数值计算参数,通过PLAXIS 2D软件对小型预制桩在的单桩水平受荷及竖向受荷进行数值模拟,得到桩身弯矩沿桩长的分布以及荷载-位移曲线,分析小型预制桩基础桩身弯矩的分布特点,并探求其在水平及竖向荷载作用下的承载特性,进而能够为小型预制桩基础工程设计以及计算方面提供一定的参考依据。     

烟气喷淋脱碳数值模拟及其特性分析

针对烟气喷淋脱碳,采用欧拉-拉格朗日法建立了耦合气液流动、热质传递及化学反应的三维数值模型,并基于热力一致性简化模型中的热力学表达,以降低计算成本。模型验证表明,预测结果与实验结果吻合良好。基于该模型考察了塔内气液流动、热质传递及CO2吸收等特性。结果表明:喷淋方式对塔内气液分布、温度分布及CO2吸收有重要影响;向下喷淋将卷吸喷嘴周围烟气沿塔中部向下流动,与新入烟气存在强烈的掺混行为,并造成液滴在塔中部集聚;气液温度分布及H2O气相体积分数分布有较高的关联性,汽化潜热占热交换总量的64%;传质阻力集中在液侧,比气侧高2个数量级;通过改变喷淋方向可以减小液滴分布不均匀性,将脱碳效率从38.3%提升至49.6%。     

Nonlinear multiobjective model-predictive control scheme for wastewater treatment process

A nonlinear multiobjective model-predictive control (NMMPC) scheme, consisting of self-organizing radial basis function (SORBF) neural network prediction and multiobjective gradient optimization, is proposed for wastewater treatment process (WWTP) in this paper. The proposed NMMPC comprises a SORBF neural network identifier and a multiple objectives controller via the multi-gradient method (MGM). The SORBF neural network with concurrent structure and parameter learning is developed as a model identifier for approximating on-line the states of WWTP. Then, this NMMPC optimizes the multiple objectives under different operating functions, where all the objectives are minimized simultaneously. The solution of optimal control is based on the MGM which can shorten the solution time. Moreover, the stability and control performance of the closed-loop control system are well studied. Numerical simulations reveal that the proposed control strategy gives satisfactory tracking and disturbance rejection performance for WWTP. Experimental results show the efficacy of the proposed method.     

乙炔清净废水再利用研究

本文主要是关注乙炔清净废水循环利用的问题,考察了废次钠液温度、新次钠液有效氯含量,以及pH值等因素对新、废次钠液混合的影响。发现废次钠液温度、新次钠液有效氯含量影响甚微,pH值有较大影响。控制pH值在5.5以上,循环利用废次钠液是可行的。     

《江苏名点》教学的整体设计与过程管理控制

《江苏名点》是一门理论与实践相结合的课程,为了提高该课程的教学质量,通过对示范、实训教学的程序设计和教学方法设计完成教学的整体设计,通过对教学平台的利用、示范教学内容和教学手段的控制、实训教学方法和评价指标体系的控制等来完成教学的质量控制。本研究对于提高《江苏名点》的教学水平具有指导意义。     

芡实的营养及利用

芡实主产于江苏、山东、湖南、湖北、安徽等省区,其中含有丰富的碳水化合物、蛋白质以及多种维生素等,不仅营养价值高,而且具有养血安神、益肾固精、去湿健脾、止泻止带等功效,既可食用,又可药用。目前,芡实以原料销售为主,产品单一,附加值低,需对其进行深入研究,了解其保健机理,提高保鲜、加工技术水平,开发深加工产品。     

红烧肉烹饪工艺及其影响因素研究

采用正交试验,对扬州家常红烧肉的烹制过程中的色拉油、酱油、黄酒和白砂糖的基本配比以及加水量、焖焙温度、焖焙时间等工艺参数进行优化研究。结果表明,家常红烧肉最佳配比为：五花肉1000g：盐6g：葱20g：姜20g：色拉油100g：老抽王40g：黄酒100g：白砂糖40g;其烹制过程为：将1000g五花肉煸炒出油,加水300g大火烧开后,选用锅底温度100℃焖焙60min,最后大火收汁,这样烹制的红烧肉综合感官评价得分最高。