基于云自适应遗传算法的NoC路径分配研究

路径分配是NoC设计流程中的两个关键步骤之一;路径分配的结果对NoC系统的性能尤其是通讯延时有着很重要的影响;多约束条件下的NoC路径分配问题是NP完全问题,要求出其最优解比较困难,目前常用的方法是利用启发式算法求得其较优解;文中提出一种基于云自适应遗传算法的NoC路径分配解决方案,该算法利用云模型对传统遗传算法加以改进,采取新的方法自动调整遗传算法过程中的交叉概率pc和变异概率pm,将适应度与云模型的3个参数Ex、En、He相互结合,从而达到优化遗传算法的目的;将此算法应用于2D-Mesh拓扑结构的NoC中,以平衡链路负载和联合优化为实验目标,以优化静态通讯分配结果;实验证明,文章所采取的算法在平衡链路负载和联合优化方面均取得了良好的效果。     

船舶柴油机主控装置

本文详细介绍了一种船舶柴油机主控装置的功能，结构、工作原理以及软件设计等，经现场调试和海上实验，主控装置完全满足设计和应用的要求。     

表面脱β层梯度结构硬质合金研究进展

随着涂层技术在硬质合金领域的日益广泛应用,制备可防止涂层裂纹向基体扩展的具有表面脱立方相碳化物(即β相)的梯度结构的硬质合金基体成为需要。文中概述了此类结构合金的形成机理、影响因素以及发展现状和方向等。     

双曲线模型在某残积土地基沉降计算中的应用

对于残积土地基的沉降变形,实践证明采用压缩模量的计算结果往往偏大,应采用现场试验得到的变形模量来进行计算。为此,该文以广州某残积土地基的实测资料为例,对其非线性沉降采用双曲线模型来表示,所需计算参数则根据现场载荷试验来确定,最后将计算结果与试验结果进行对比。结果初步表明,双曲线模型法用于残积土地基的沉降计算是可行的。     

遗传-神经网络算法在水下隧道涌水量预测中的应用

水下隧道涌水问题受到多种因素的综合影响,具有非线性和高度复杂性。本文应用遗传算法和BP神经网络,结合工程实例,选用隧道围岩裂隙发育情况、上覆含水体富水性、上覆水压、隧道埋深、隧道围岩上覆相对隔水层强度和上覆基岩破碎带与隧道顶板的距离作为影响水下隧道涌水的主要因素,以调查的数据作为训练样本,使用遗传算法优化BP神经网络的初始权值和阈值,建立了水下隧道涌水量的遗传-神经网络预测模型,并进行了计算分析。结果表明:该模型收敛性能好,预测精度高,简单可行。该方法为水下隧道涌水量的预测提供了一条新思路。     

基于虚拟仪器的轴向变量柱塞泵测控系统

为了符合某企业的轴向柱塞泵测试要求,对轴向变量柱塞泵的静态性能的测试方法进行了研究,并设计及开发了该测控系统。该测控系统利用虚拟仪器技术、计算机技术、传感器技术、可编程逻辑控制器技术、数据采集卡技术等多种现代科学技术,实现了机电液一体化的控制。测控系统的关键参数如压力、转速、控制信号的测试精度通过闭环控制得到保证。在建立测试信息数据库后,测控系统能对按测试工序模块化自动连续完成一系列试验的测试。现场测试表明,该测控系统能对多种规格的轴向柱塞的静态性能(排量验证、变量特性、效率特性、超载试验)进行自动测试,同时测试结果良好。     

Ultraviolet Photoluminescence of Carbon Nanospheres and its Surface Plasmon‐Induced Enhancement

Ultraviolet (UV) light can be used in versatile applications ranging from photoelectronic devices to biomedical imaging. In the development of new UV light sources, in this study, stable UV emission at ≈350 nm is unprecedentedly obtained from carbon nanospheres (CNSs). The origin of the UV fluorescence is comprehensively investigated via various characterization methods, including Raman and Fourier transform infrared analyses, with comparison to the visible emission of carbon nanodots. Based on the density functional calculations, the UV fluorescence is assigned to the carbon nanostructures bonded to bridging O atoms and dangling –OH groups. Moreover, a twofold enhancement in the UV emission is acquired for Au‐carbon core‐shell nanospheres (Au‐CNSs). This remarkable modification of the UV emission is primarily ascribed to charge transfer between the CNSs and the Au surface.     

Fast text categorization using concise semantic analysis

Text representation is a necessary procedure for text categorization tasks. Currently, bag of words (BOW) is the most widely used text representation method but it suffers from two drawbacks. First, the quantity of words is huge; second, it is not feasible to calculate the relationship between words. Semantic analysis (SA) techniques help BOW overcome these two drawbacks by interpreting words and documents in a space of concepts. However, existing SA techniques are not designed for text categorization and often incur huge computing cost. This paper proposes a concise semantic analysis (CSA) technique for text categorization tasks. CSA extracts a few concepts from category labels and then implements concise interpretation on words and documents. These concepts are small in quantity and great in generality and tightly related to the category labels. Therefore, CSA preserves necessary information for classifiers with very low computing cost. To evaluate CSA, experiments on three data sets (Reuters-21578, 20-NewsGroup and Tancorp) were conducted and the results show that CSA reaches a comparable micro- and macro-F₁ performance with BOW, if not better one. Experiments also show that CSA helps dimension sensitive learning algorithms such as k-nearest neighbor (kNN) to eliminate the “Curse of Dimensionality” and as a result reaches a comparable performance with support vector machine (SVM) in text categorization applications. In addition, CSA is language independent and performs equally well both in Chinese and English.     

大型水轮机综合特性曲线处理的研究

水轮机设计的基础理论是相似理论。选型设计决定水轮机性能参数尺寸,其中最关键的技术是水轮机特性曲线的处理,即模型综合特性曲线和真机运动特性曲线的处理。本文应用CAD技术,提出了特性曲线处理算法,极大地提高了水轮机方案设计的效率。该算法已经应用于国家863／CIMS重点应用示范工程中。     

A low temperature preparation and photocatalytical activities of PDVB@TiO2 hybrid microspheres

The core/shell anatase TiO₂ encapsulated poly(divinylbenzene) (PDVB@TiO₂) hybrid microspheres were prepared by the two steps: (1) the copolymer particles (PDVB) were prepared by the radical precipitation copolymerization of divinylbenzene (DVB) and γ-[(methacryloxy)propyl]trimethoxysilane (KH-570); (2) tetrabutyl titanate (TBOT) was co-hydrolyzed with the trimethoxysilyl groups on the surfaces of the PDVB cores and then the amorphous TiO₂ shell obtained was phase transformed to anatase TiO₂ by acid peptization. The products were characterized by FT-IR, UV–vis, scanning electron microscopy (SEM), X-ray diffraction (XRD) and thermal gravimetric analysis (TGA). Their photocatalytical activities were measured by the photo-degradation of methylene blue (MB). The polymer supported TiO₂ photocatalysts prepared at low temperature, had better repetition because of the coupled action of KH-570 between the PDVB core and TiO₂ shell. Furthermore, it could be easily separated from the solution by simple sedimentation.