一种基于可变支持度的缺省规则挖掘算法

Rough集方法提供了一种新的处理不精确、不完全与不相容知识的数学工具. MDRBR算法通过规则支持度进行约束,可有效提高缺省规则的挖掘效率.但MDRBR采用单一的规则支持度约束,使得当规则支持度较小时,挖掘出大量的缺省规则,而当规则支持度较大时,一些重要的小概率分布对象对应的缺省规则被过滤掉.为此,提出了一种基于可变支持度的缺省规则挖掘算法--MDRBVSM,可有效地改进MDRBR等传统算法存在的缺陷.实验结果表明,该算法可有效地过滤噪声、提高规则的挖掘效率.     

葡萄糖共基质代谢对除草剂草除灵废水的可生物降解特性的影响

利用瓦勃式微量呼吸检压仪对有机杂环类除草剂--草除灵的废水的可生物降解性进行快速测定,并对添加葡萄糖基质的废水共基质代谢进行生物降解特性研究.结果表明,葡萄糖的共基质代谢作用可以明显地提高草除灵废水的生物降解速率和降解效果.     

电容成像图像重建算法原理及评价

对现有的电容成像图像重建算法进行了综述并介绍了其原理,其中包括线性反投影法(LBP)、基于奇异值分解(SVD)的直接算法、Tikhonov正则化方法、Newton-Raphson算法、最速下降法、Landweber迭代算法、代数重建技术(ART)、同步迭代重建技术(SIRT)和基于模型的重建算法。在此基础上使用仿真和实验数据对目前主要使用的线性反投影法、基于奇异值分解的直接方法、Tikhonov正则化方法、Tikhonov迭代、投影Landweber迭代等进行了评价。对它们从电容值误差、图像误差、相关系数和耗用时间几个角度进行了比较,并对今后电容成像图像重建算法的发展方向提出了一些看法。     

校园网的升级与改造

基于中南民族大学校园网建设需求、目标及设计原则,论述了在校园网升级改造中的网络技术选择、设备选型,设计了网络拓扑图.在实施时,实现了以千兆以太网为核心技术,千兆交换为主干、百兆交换机输出到桌面的宽带校园网的网络结构.     

大学英语口语教学中的学习焦虑及对策

在大学英语口语教学中,许多同学不愿开口讲英语,其中焦虑是导致这一现象的一个重要原因。文章重点讨论焦虑原理,导致焦虑的原因及减轻焦虑的对策,旨在进一步提高大学英语口语教学的效果,提高学生学习英语的积极性。     

“一带一路”倡议下海南国际化人才培养模式探析

"一带一路"作为国家顶级合作倡议,除了造福沿线国家和人民之外,也对人才培养提出了更高的要求。在此背景下,海南作为"一带一路"建设的重要节点,亟须培养一批能适应新时代发展的高素质国际化人才。基于现有人才培养模式,本研究从开设国际联合教育实验室、校政企共建资源、涉外人才培养以及海南本土人才培养四方面进行深入探析,为"一带一路"倡议下海南国际化人才培养模式的创新提供建议。     

反思在服务学习中的作用研究

反思是服务学习的一个重要特质,也是实施过程中一个重要的阶段,是保证服务学习质量,提升服务效果的重要组成部分。本文主要从反思的理论基础,反思的特质以及反思的作用等方面阐述反思在服务学习中的地位和价值,有助于更好地开展服务学习,提升服务学习效果。     

SwiftArray: Accelerating Queries on Multidimensional Arrays

Scientific instruments and simulation programs are generating large amounts of multidimensional array data.Queries with value and dimension subsetting conditions are commonly used by scientists to find useful information from big array data,and data storage and indexing methods play an important role in supporting queries on multidimensional array data efficiently.In this paper,we propose SwiftArray,a new storage layout with indexing techniques to accelerate queries with value and dimension subsetting conditions.In SwiftArray,the multidimensional array is divided into blocks and each block stores sorted values.Blocks are placed in the order of a Hilbert space-filling curve to improve data locality for dimension subsetting queries.We propose a 2-D-Bin method to build an index for the blocks’value ranges,which is an efficient way to avoid accessing unnecessary blocks for value subsetting queries.Our evaluations show that SwiftArray surpasses the NetCDF-4 format and FastBit indexing technique for queries on multidimensional arrays.     

Flow and heat transfer behaviour of nanofluids in microchannels

Flow and heat transfer of aqueous based silica and alumina nanofluids in microchannels were experimentally investigated. The measured friction factors were higher than conventional model predictions at low Reynolds numbers particularly with high nanoparticle concentrations. A decrease in the friction factor was observed with increasing Reynolds number, possibly due to the augmentation of nanoparticle aggregate shape arising from fluid shear and alteration of local nanoparticle concentration and nanofluid viscosity. Augmentation of the silica nanoparticle morphology by fluid shear may also have affected the friction factor due to possible formation of a core/shell structure of the particles. Measured thermal conductivities of the silica nanofluids were in approximate agreement with the Maxwell-Crosser model, whereas the alumina nanofluids only showed slight enhancements. Enhanced convective heat transfer was observed for both nanofluids, relative to their base fluids (water), at low particle concentrations. Heat transfer enhancement increased with increasing Reynolds number and microchannel hydraulic diameter. However, the majority of experiments showed a larger increase in pumping power requirements relative to heat transfer enhancements, which may hinder the industrial uptake of the nanofluids, particularly in confined environments, such as Micro Electro-Mechanical Systems (MEMS).     

Dendrite growth and micromechanical properties of rapidly solidified ternary Ni-Fe-Ti alloy

The rapid solidification of undercooled liquid Ni_(45)Fe_(40)Ti_(15)alloy was realized by glass fluxing technique.The microstructure of this alloy consists of primaryγ-(Fe,Ni)phase and a small amount of interdendritic pseudobinary eutectic.The primaryγ-(Fe,Ni)phase transferred from coarse dendrite to fragmented dendrite and the lamellar eutectic became fractured with the increase of undercooling.The growth velocity ofγ-(Fe,Ni)dendrite increased following a power relation with the rise of undercooling.The addition of solute Ti suppressed the rapid growth ofγ-(Fe,Ni)dendrite,as compared with the calculation results of Fe-Ni alloy based on LKT model.The microhardness values of the alloy and the primaryγ-(Fe,Ni)phase increased by 1.5 times owing to the microstructural refinement caused by the rapid dendrite growth.The difference was enlarged as undercooling increases,resulting from the enhanced hardening effects on the alloy from the increased grain boundaries and the second phase.