文献搜索引擎中特征项及权重的应用

针对目前用户在使用搜索引擎过程中,检索结果冗余、效率低下等问题,本文在对文献垂直搜索系统中Lucene.Net的索引算法研究基础上,结合用户实际专业检索需求,改变其算法中的激励因子,实验结果证明该方法确能提高搜索结果的相关度.     

网络链路性能参数估计的层析成像方法综述

网络层析成像能够在网络内部节点不提供测量协作的情况下,根据端到端的测量结果,间接地估计网络内部链路性能参数,是一种重要的网络测量手段,能直接指导网络管理和网络优化,目前受到国内外学术界和工业界广泛的关注.在广泛收集国内外资料的基础上,首先总结了目前网络层析成像使用的主要端到端测量方法和技术;再根据不同参数对链路性能刻画程度的不同,将链路性能参数的网络层析成像方法分为两类:定量参数推断方法和定性参数推断方法;然后,针对不同类型参数的估计问题,概括分析了现有算法的特点;最后指出该类方法未来的研究方向与潜在的应用前景.     

Identify Congested Links Based on Enlarged State Space

When paths share a common congested link, they will all suffer from a performance degradation. Boolean tomography exploits these performance-level correlations between different paths to identify the congested links. It is clear that the congestion of a path will be distinctly intensive when it traverses multiple congested links. We adopt an enlarged state space model to mirror different congestion levels and employ a system of integer equations, instead of Boolean equations, to describe relationships between the path states and the link states. We recast the problem of identifying congested links into a constraint optimization problem, including Boolean tomography as a special case. For a logical tree, we propose an up-to-bottom algorithm and prove that it always achieves a solution to the problem. Compared with existing algorithms, the simulation results show that our proposed algorithm achieves a higher detection rate while keeping a low false positive rate.     

面向网页结构特征的Hopfield 算法

针对目前互联网信息资源广泛、网页结构复杂、噪音信息较多的现状,主题爬虫获取有效信息过程中精确度低、耗费时间长等问题。结合经典的Hopfield算法,提出了针对网页结构特征进行分块的主题爬行改进算法,实验证明该改进算法在一定程度上能有效地解决目前信息获取过程中所面临的问题。     

具有支状疏水链的磺酸盐型双子表面活性剂的合成与性能

通过正交实验,先以对特辛基酚和二溴丁烷为合成原料,十六烷三甲基溴化铵为相转移剂合成了双醚中间体,再经磺化、中和反应合成了一种磺酸盐型双子表面活性剂D2C4,并对其相关性能进行了表征。结果表明,D2C4的最佳合成实验条件为：双醚反应中,对特辛基酚、二溴丁烷的摩尔比为2.02∶1,反应温度为100℃,反应时间为4 h,碱用量为20%,相转移剂CTAB用量为20 g/L;磺化反应中,氯磺酸、双醚中间体的摩尔比为2.02∶1,在冰水浴中反应时间为8 h。D2C4具有更高的表面活性,其临界表面张力γcmc和临界胶束浓度ccmc分别为32.2 mN.m-1和9.4×10-4mol/L。DTA分析表明D2C4具有较好的热稳定性（热分解温度为322℃）。图4表5参9     

Space Efficient Quantization for Deep Convolutional Neural Networks

Deep convolutional neural networks (DCNNs) have shown outstanding performance in the fields of computer vision, natural language processing, and complex system analysis. With the improvement of performance with deeper layers, DCNNs incur higher computational complexity and larger storage requirement, making it extremely difficult to deploy DCNNs on resource-limited embedded systems (such as mobile devices or Internet of Things devices). Network quantization efficiently reduces storage space required by DCNNs. However, the performance of DCNNs often drops rapidly as the quantization bit reduces. In this article, we propose a space efficient quantization scheme which uses eight or less bits to represent the original 32-bit weights. We adopt singular value decomposition (SVD) method to decrease the parameter size of fully-connected layers for further compression. Additionally, we propose a weight clipping method based on dynamic boundary to improve the performance when using lower precision. Experimental results demonstrate that our approach can achieve up to approximately 14x compression while preserving almost the same accuracy compared with the full-precision models. The proposed weight clipping method can also significantly improve the performance of DCNNs when lower precision is required.

     

分光光度法测定芋粉中总还原糖含量

目的 建立竹芋粉中总还原糖含量的 3,5－二硝基水杨酸(DNS)比色测定方法。 方法 以葡萄糖为标 准品, 以 3,5－二硝基水杨酸(DNS)为显色剂, 用分光光度法测定竹芋粉中总还原糖的含量。 结果 在最大吸收 波长为 480 nm, 测得回收率为 98.3%～101.2%, 相对标准偏差为?1.7%, 竹芋粉中总还原糖含量为 77.83%, 竹 芋粉中淀粉含量为 70.05 %。结论 本方法适用于竹芋粉中总还原糖含量的测定。     

焚硫炉筑炉施工要点

焚硫炉是硫磺制酸装置的关键设备之一,随着装置大型化对筑炉提出了高要求。总结了250kt／a硫磺制酸装置焚硫炉的筑炉施工要点,供同仁参考。     

伞形瓷绝缘子装配技术的改进设计

针对伞形瓷绝缘子在传统生产过程中装配效率低、质量参差不齐、工人劳动强度大等问题,设计了一种能够自动对伞形瓷绝缘子进行装配的设备,并利用UG软件对其进行了运动仿真。经过分析,最终所设计的瓷绝缘子装配设备方案可行,能够增加瓷绝缘子装配的自动化程度。     

束线机主动放线单元设计

主要介绍了主动放线单元结构、工作原理、设计要点及主要性能参数。运行实践证明：与被动式放线单元相比,具有张力均匀、适应性强等优点,有利于提高线芯质量。