Influence of surfactants on rheological behaviors of polyacrylonitrile/dimethyl sulfoxide/silicon blending polymer solutions

KH550, KH560, CTAB, and F127 were adopted to modify silicon (Si) to improve the dispersity and stability of Si in the polyacrylonitrile/dimethyl sulfoxide (PAN/DMSO) polymer solutions. The influence of surfactants on rheological behaviors of PAN/DMSO/Si blending polymer solutions was investigated by an advanced solution and melt rotation rheometer. The homogeneity and stability were also studied. The results showed that the surfactants could change the viscosity dependence of blending polymer solutions on shear rate, temperature and storage time by increase the steric hindrance of Si. Among the four solutions, PAN/DMSO/Si blending polymer solution with F127 exhibited the lowest viscosity, activation energy and the smallest structural viscosity index and exhibited the trend close to the Newtonian fluids. Moreover, PAN/DMSO/Si blending polymer solution with F127 exhibited the best dispersity and stability, indicating its best physical properties and machinability.     

全球邮政、快递业应用RFID技术的研究

本文在掌握大量案例的基础上,分析了全球邮政、快递行业应用RFID技术的发展空间、应用现状,提出了我国邮政企业实施RFID在技术层面上的若干问题并提供了建议。     

微波体声波延迟线的电磁屏蔽

本文分析了微波体声波延迟线多层介质的电磁屏蔽效应，结果表明，全屏蔽方式可以有效地解决微波延迟线研制中的直通抑制问题。实验结果证实了理论分析。     

DSSS数字接收机的AFC算法及其实现

介绍了一种零中频直接序列扩频(DSSS)数字接收机的自动频率控制(AFC)算法及其仿真和实现.该算法从残留载波跟踪解调环的鉴相信号中提取频偏信息,对下变频本振进行AFC,并且可根据对频偏的估计切换环路特性,使环路既有较大的捕获带宽,又具有较好的跟踪和滤波性能.该算法适用于无导频的直扩BPSK信号接收机,其特点是算法复杂度低,特别易于FPGA实现.     

数字式速度比例同步电脑控制系统

数字式速度比例同步控制系统，是把先进的交流变频调速技术，微电子技术和节能效果显著的永磁同步电机融为一体组成的性能优良的调速控制系统。该系统具有调速精度高调整范围大、稳定性好、抗干扰能力强、调整方便、节电效果显著等一系列优点。本文详细介绍了该系统的工作原理，并通过应用实例和分析对比，阐述该系统的优越性。     

Morphology control of titanium oxides by tetramethylammonium cations in hydrothermal conditions

The effect of tetramethylammonium cations (TMA⁺) on TiO₂ crystal morphology in hydrothermal conditions has been studied. The as-synthesized samples were characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM) and scanning electron microscopy (SEM) methods. The morphologies including besom-like particle, nanosheet and nanotube have been observed. The different ways TMA⁺ cations in the hydrothermal bases affect the crystal growth manner are suggested to be responsible for the different morphologies of the as-synthesized samples.     

The Transformation of Carbides during Austenization and Its Effect on the Wear Resistance of High Speed Steel Rolls

The transformation of carbides with austenization time of a high speed steel (HSS) roll material, manufactured by a centrifugal casting method, has been studied. The correlation between wear resistance and the type, morphology, volume fraction, and distribution of the carbides has also been investigated. Microstructural observations, X-ray diffraction (XRD) analysis, hardness measurements, and energy dispersive spectroscopy (EDS) have been used to characterize the carbides. The type and volume fraction of carbides were found to change with austenizing time. During austenization, the transformation of the M₃C carbides can be postulated as M₃C + γ-Fe → M₂C, with much finer nodular and rodlike MC carbides also forming through a solid-state transformation. The M₂C carbide decomposes as M₂C + γ-Fe → MC + M₇C₃ + M₆C. The decomposed carbide substantially maintains a platelike shape until the end of decomposition. The most important finding of this study is that austenization results in changes in the type, morphology, volume fraction, and distribution of carbides and that it can be controlled to produced a homogeneous distribution of hard carbides, resulting in an improvement in the wear resistance of HSS rolls. This finding may be of great use for the industrial production of HSS rolls.     

基于Silverlight的富数据输入研究

针对站点中经常需要用户输入各类数据的现状,讨论了实现开发RIA应用的Silverlight技术以及ASP.NET/SilverlightWeb应用程序的N层逻辑设计,并在此基础上利用Silverlight技术较好地实现了电子商务RIA平台中一个富数据输入界面功能,提高了用户的体验。     

ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images

Multispectral imaging (MSI) technique is often used to capture images of the fundus by illuminating it with different wavelengths of light. However, these images are taken at different points in time such that eyeball movements can cause misalignment between consecutive images. The multispectral image sequence reveals important information in the form of retinal and choroidal blood vessel maps, which can help ophthalmologists to analyze the morphology of these blood vessels in detail. This in turn can lead to a high diagnostic accuracy of several diseases. In this paper, we propose a novel semi-supervised end-to-end deep learning framework called “Adversarial Segmentation and Registration Nets” (ASRNet) for the simultaneous estimation of the blood vessel segmentation and the registration of multispectral images via an adversarial learning process. ASRNet consists of two subnetworks: (i) A segmentation module S that fulfills the blood vessel segmentation task, and (ii) A registration module R that estimates the spatial correspondence of an image pair. Based on the segmention-driven registration network, we train the segmentation network using a semi-supervised adversarial learning strategy. Our experimental results show that the proposed ASRNet can achieve state-of-the-art accuracy in segmentation and registration tasks performed with real MSI datasets.     

Neural network’s selection of color in UI design of social software

Neural Computing and Applications - In recent years, the design of social software UI has become a design research focus in the field of design. Color affects many factors in UI design. However,...