下一代电信网络NGN及其关键技术综述

随着全球电信运营市场的逐步开放，新的技术正在日新月异地向前发展。虽然通信领域的三大主导网络——因特网、移动通信网、固定电话网仍保持着良好的发展势头，但在网络融合、业务融合方面还存在一些问题，下一代网络(NGN)由此应运而生。本文旨在对下一代网络的基本概念、结构、特点及关键技术演进趋势做一些探讨。     

基于改进模拟退火算法的推动式生产-配送协调优化

为减小物资生产与配送不协调造成的成本及生产资源浪费,建立了考虑推动式生产调度的物资配送优化模型,并针对标准模拟退火算法受随机因素影响易陷入局部最优的缺点,设计带有回火与缓冷操作的改进模拟退火算法对模型求解,确定了优化的车辆配送路线以及物资生产计划。对比实验结果表明：相对于单纯的物资配送优化模型,考虑推动式生产调度的配送优化模型,能够有效减小物资滞留时间以及配送延误成本;相较于标准模拟退火算法,改进算法搜索到了更优解,且计算结果的标准差减小了93.42%,稳定性更好;同时,改进模拟退火算法具有较低的偏差率,在中小规模算例中求解质量较高,平均偏差率在0.5%以内。     

利用薄膜量热计测量高功率Z箍缩软X射线总能量

介绍一种采用脉冲恒压电源驱动的镍薄膜量热计,研制了测量系统和镍薄膜探测器,对探测器的电阻 温度特性进行了实验标定,该量热计已成功应用于测量“强光一号”加速器高功率Z箍缩等离子体软X射线总能量,分析了测量不确定度。     

Single determinant N‐representability and the kernel energy method applied to water clusters

The Kernel energy method (KEM) is a quantum chemical calculation method that has been shown to provide accurate energies for large molecules. KEM performs calculations on subsets of a molecule (called kernels) and so the computational difficulty of KEM calculations scales more softly than full molecule methods. Although KEM provides accurate energies those energies are not required to satisfy the variational theorem. In this article, KEM is extended to provide a full molecule single‐determinant N‐representable one‐body density matrix. A kernel expansion for the one‐body density matrix analogous to the kernel expansion for energy is defined. This matrix is converted to a normalized projector by an algorithm due to Clinton. The resulting single‐determinant N‐representable density matrix maps to a quantum mechanically valid wavefunction which satisfies the variational theorem. The process is demonstrated on clusters of three to twenty water molecules. The resulting energies are more accurate than the straightforward KEM energy results and all violations of the variational theorem are resolved. The N‐representability studied in this article is applicable to the study of quantum crystallography. © 2017 Wiley Periodicals, Inc.     

未来室内热点增强技术的研究

新业务及终端类型的层出不穷，促使移动数据业务迅速增长，并且大量的业务发生在室内和热点，到目前为止，3GPPLTE—Advanced仍是面向高数据速率，大覆盖的场景，因此在未来的标准化中，引入针对室内热点的优化技术，是业内公认的方向。本文介绍了几种室内热点优化的技术方案。分析了未来标准中需要重点考虑的内容。     

Multinational vehicle license plate detection in complex backgrounds

Many methods for multinational License Plate Detection (LPD) have been proposed in recent times but most of them are not sophisticated enough to handle complex backgrounds. Moreover, their ability to handle various environmental and illumination conditions has been limited and still needs improvement. In this paper, we propose a novel technique to detect license plates of vehicles regardless of their color, size, and content. As the rear vehicle lights are an essential part of any vehicle, we reduce the image processing area to eliminate the complex background by detecting the rear-lights as the license plates are in a certain range of these lights. Heuristic Energy Map (HEM) of the vertical edge information in the Region of Interest (ROI) is calculated and area with the dense edges is selected using a unique histogram approach which is considered to be the license plate. The proposed algorithm is tested on 855 images from various countries including China, Pakistan, Serbia, Italy and various states of America. Experimental results show that the proposed method is able to detect license plates 90.4% of times despite of complex backgrounds in 0.25 s on average that can achieve real time performance.     

Green solvent approach for printable large deformation thermoplastic elastomer based piezoresistive sensors and their suitability for biomedical applications

Composites based on biocompatible thermoplastic elastomer styrene‐ethylene/butylene‐styrene (SEBS) as matrix and multi‐walled carbon nanotubes (MWCNT) as nanofillers show excellent mechanical and piezoresistive properties from low to large deformations. The MWCNT/SEBS composites have been prepared following a green solvent approach, to extend their range of applicability to biomedical applications. The obtained composites with 2, 4, and 5 wt % MWCNT content provide suitable piezoresistive response up to 80% deformation with a piezoresistive sensibility near 2.7, depending on the applied strain and MWCNT content. Composite sensors were also developed by spray and screen printing and integrated with an electronic data acquisition system with RF communication. The possibility to accurately control the composites properties and performance by varying MWCNT content, viscosity, and mechanical properties of the polymer matrix, shows the large potential of the system for the development of large deformation printable piezoresistive sensors. © 2016 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2016 , 54, 2092–2103     

UV-Derivative Spectrophotometric Determination of Ritonavir Capsules and Comparison with LC Method

Abstract

An ultraviolet-derivative spectrophotometric method (UV-D) has been proposed as an alternative to a previously described liquid chromatographic (LC) method for the quantitative determination of ritonavir in soft gelatin capsules. The spectrophotometric method is based on recording the second-derivative spectra for ritonavir at 222.3 nm of its solutions in methanol. The linear dynamic range was 10.0–30.0 µg · mL^?1 with a correlation coefficient of 0.9995. Mean recoveries were between 99.2% and 100.2% for the tested capsules samples. Mean intra- and interassay relative standard deviations (RSDs) were less than 2.0%. The statistic analysis showed that LC and UV-D methods were equivalent to assay ritonavir capsules.     

软分割约束边缘保持插值的半自动2D转3D

半自动2D转3D将用户标注的稀疏深度转换成稠密深度,是解决3D片源不足的主要手段之一.针对现有方法利用硬分割增强深度边缘引入误差的问题,提出像素点与超像素深度一致性约束的边缘保持插值方法.首先,建立像素点深度和超像素深度传播的能量模型,通过像素点与所属超像素间深度差异的约束项将二者关联起来;其次,利用矩阵表示形式将两个能量模型的最优化转换成一个稀疏线性方程组的求解问题.通过超像素提供的约束项,可避免深度传播穿过低对比度边缘区域,从而能保持对象边缘.实验结果表明,本文方法对象边缘处深度恢复的准确性优于融合图割的随机游走方法,PSNR改善了1.5dB以上.