基于“IPv6+”的智能IP网络方案

随着第4次工业革命的到来，人类社会正逐步迈向万物互联的智能时代。智能时代需要更加自动化、智能化的IP网络，基于“IPv6+”的SRv6、BIERv6等技术是使能新一代IP网络的关键基础。全面阐述了“IPv6+”的技术内涵，结合华为在智能 IP 网络解决方案上的创新和思考，介绍了“IPv6+”在极简连接、SLA 保障、专网体验、质量感知和云网一体等多个解决方案场景的关键技术与典型应用，助力5G与云业务发展。     

Evolution of Local Structural Ordering and Chemical Distribution upon Delithiation of a Rock Salt–Structured Li1.3Ta0.3Mn0.4O2 Cathode

Lithium‐rich disordered rock‐salt oxides have attracted great interest owing to their promising performance as Li‐ion battery cathodes. While experimental and theoretical efforts are critical in advancing this class of materials, a fundamental understanding of key property changes upon Li extraction is largely missing. In the present study, single‐crystal synthesis of a new disordered rock‐salt cathode material, Li_1.3Ta_0.3Mn_0.4O₂ (LTMO), and its use as a model compound to investigate Li concentration–driven evolution of local cationic ordering, charge compensation, and chemical distribution are reported. Through the combined use of 2D and 3D X‐ray nanotomography, it is shown that Li removal accompanied by oxygen oxidation is correlated with the development of morphological defects such as particle cracking. Chemical heterogeneity, quantified by subparticle level distribution of Mn valence state, is minimal during Mn redox, which drastically increases upon the formation of cracks during oxygen redox. Density functional theory and bond valence sum mismatch calculations reveal the presence of local short‐range ordering in the pristine oxide, which gradually disappears along with the extraction of Li. The study suggests that with cycling the transformation into true cation–disordered state can be expected, which likely impacts the voltage profile and obtainable energy density of the oxide cathodes.     

Road Extraction from High Resolution Remote Sensing Image based on Shape Analysis with Gestalt Theory

Simulating the psychological experience of human vision，a road extraction model based on the format tower is proposed to extract the road in the high resolution remote sensing image from the perspective of morphology.Firstly，based on the spectral and texture information，the suspected road targets are extracted by using segmentation technology.Then these targets are classified according to their reliability and extract the road targets for each category.Finally，three types of identified road information are verified and merged，and the continuous smooth road extraction results are obtained.Experiments on real high resolution images show that the results are consistent with the visual perception of the human eye，and the overall classification accuracy is higher，indicating that the algorithm is effective and feasible and has good use value.     

"一步建站"Web管理系统的探讨和实现

“一步建站”Web管理系统是指通过Web界面一次性提交用户资料，系统自动完成为上网建站用户开通虚拟服务器、进行域名解析、创建FTP维护账号及指定租用硬盘空间大小等一系列操作。同时，该系统还可对已开通的用户站点进行管理。     

制作矢量轮廓字库

本文介绍了一种如何从常见的点阵字库制作矢量轮廓字库的算法。算法采用了预处理、轮廓跟踪和轮廓逼近这三个主要步骤来制作每一个矢量文字，然后采用一种２字节的索引结构加以存储。     

改进的门单元多输入跳变电流源模型

电压信号的非线性问题和多输入跳变现象给时序分析带来了严重挑战.为更好地解决此问题,文中设计电路对门单元输入端和内部节点间的密勒电容进行了验证,从器件结构上分析了其来源,并通过引入该电容改进了已有多输入跳变电流源模型,以获得更高的模型精度;同时将二输入门单元模型扩展到多输入门单元,并详述了建模方法.多种门单元上的数值实验结果表明,与已有模型相比,在可接受的时间开销内,文中模型能够显著地提高门单元时延和输出波形的仿真精度.     

城市生活垃圾热值的特征变量选择方法及预测建模

在垃圾焚烧的过程中,垃圾热值的波动会影响垃圾焚烧的稳定性.为了实现城市生活垃圾热值的实时在线预测以及变化趋势预测,采用模糊神经网络软测量方法,利用焚烧发电厂在线运行数据作为输入,实现垃圾热值的实时预测功能.首先采用互信息方法从若干特征变量中剔除部分无关变量;然后将模糊神经网络和粒子群优化算法结合起来从上述选择出的特征变量中进一步剔除冗余变量,从而确定预测垃圾热值的输入变量,并从中训练出垃圾热值的模糊神经网络预测模型;最后通过采集的样本数据进行性能测试.结果表明该方法有较好的预测准确率和实时性,适用于垃圾热值的在线预测.     

组织蛋白酶C特异性荧光底物的合成和血清学分析应用

组织蛋白酶C是溶酶体半胱氨酸蛋白酶,源于免疫颗粒细胞.组织蛋白酶C作为近年来的研究热点,在于其为颗粒细胞炎症性丝氨酸蛋白酶的上游活化酶,在生理和病理过程中有着重要作用.通过研究设计并合成基于香豆素的荧光底物(CatC-AFC)来评估血清组织蛋白酶C的活性.结果表明,在特异性底物CatC-AFC与组织蛋白酶C反应后,荧光强度在非常短的时间内显著增加.酶动力学研究显示组织蛋白酶C以稳健的,线性的和时间依赖性的方式水解CatC-AFC.通过梯度稀释方法验证基于血清中组织蛋白酶C的活性测定,并且没有观察到干扰或自发荧光.基于血清中组织蛋白酶C活性的方差系数表明了良好的重现性.     

大容积薄壁冰箱风道及箱体流场分析

目前在大容积间冷式冰箱研发设计中,由于薄壁技术和传统结构的技术限制,缺乏进一步提升冰箱容积率的方法.针对这一问题,基于某原型机,设计了横置蒸发器及其配套风道的新型结构.对横置蒸发器冰箱进行CFD仿真,分析横置蒸发器风道和箱体的内部流场特性演化规律.发现风扇同转速下,横置蒸发器冰箱相比较竖置蒸发器的冰箱左右两侧进出口风量更均匀,总风量相当.经性能试验验证,测试的流场特性和瞬态温度状态与仿真吻合.在相同的蒸发器表面温度的前提下,冷藏室温度下降较快,制冷量充足.     

Fabrication of poly(PEGMA) surface with controllable thickness gradient and its mediation on the gradient adhesion of cells

The gradient surface shows enormous potential in the development of tissue engineering, biosensor, microfluidic control, and particle sorting. In this work, a poly(polyethyleneglycol methacrylate) (poly(PEGMA)) gradient surface was prepared through surface-initiated activators regenerated by electron transfer atom transfer radical polymerization (SI-AGRET ATRP). The effect of various parameters on the thickness growth of poly(PEGMA) film were analyzed, among which the excessive reducing agent was utmost important. The reducing agents supported the regeneration of Cu^I and eliminated the disturbance of air, maintaining the "living polymerization" of poly(PEGMA) up to 73.1 nm under tested conditions. The physicochemical properties of the fabricated surfaces were characterized by ellipsometry, X-ray photoelectron spectroscopy, water contact angle. The thickness slope of gradient poly(PEGMA) was controllable in a nanoscale range. The gradient surface was further grafted with CRGD (Cys-Arg-Gly-Asp) peptides onto the poly(PEGMA-co-[glycidyl methacrylate]) blocks via the ring-opening reaction between epoxy and amino groups, which showed a gradient change in water contact angle and adhesion of endothelial cells.