The Design of Passive Optical Networking+Ethernet over Coaxial Cable Access Networking and Video-on-Demand Services Carrying

Abstract

Video on demand is a very attractive service used for entertainment, education, and other purposes. The design of passive optical networking+Ethernet over coaxial cable accessing and a home gateway system is proposed. The network integrates the passive optical networking and Ethernet over coaxial cable to provide high dedicated bandwidth for the metropolitan video-on-demand services. Using digital video broadcasting, IP television protocol, unicasting, and broadcasting mechanisms maximizes the system throughput. The home gateway finishes radio frequency signal receiving and provides three kinds of interfaces for high-definition video, voice, and data, which achieves triple-play and wire/wireless access synchronously.     

An Overview of Infrared Spectroscopy Based on Continuous Wavelet Transform Combined with Machine Learning Algorithms: Application to Chinese Medicines,Plant Classification,and Cancer Diagnosis

Abstract

Infrared spectroscopy has been a workhorse technique for materials analysis and can result in positively identifying many different types of material. In recent years there have been reports using wavelet analysis and machine learning algorithms to extract features of Fourier transform infrared spectrometry (FTIR). The machine learning algorithms contain back-propagation neural network (BPNN), radial basis function neural network (RBFNN), and support vector machine (SVM). This article reviews the important advances in FTIR analysis employing a continuous wavelet transform (CWT) and machine learning algorithms, especially in the applications of the method for Chinese medicine identification, plant classification, and cancer diagnosis.     

肝肿瘤细胞HepG2代谢指纹及代谢足迹的NMR分析

细胞代谢特征的分析是认识细胞生物化学过程物质基础的一个关键点. 该文使用培养72 h的肝肿瘤细胞HepG2为模型,使用一维与二维核磁共振谱学分析方法, 分析了该细胞本身及其培养液中代谢物的组成,确定了50余种覆盖三羧酸循环、糖酵解、氨基酸合成、脂肪酸与胞膜代谢、嘌呤与嘧啶代谢等多个代谢途径的代谢物,发现细胞本身与培养基中代谢物组成能够分别提供“细胞代谢指纹”与“细胞代谢足迹”等互补性信息. 同时发现此方法可用于研究植物次生代谢物槲皮素对肝肿瘤细胞HepG2代谢的影响. 结果表明,核磁共振波谱技术是分析细胞代谢组特征和研究药物对细胞代谢影响规律的有效手段.     

Minimizing Maximum Weighted Error for Imprecise Computation Tasks

We consider the problem of preemptively scheduling a set of imprecise computation tasks on m ≥ 1 identical processors, with each task T_i having two weights, w_i and w′_i. Two performance metrics are considered: (1) the maximum w′-weighted error; (2) the total w-weighted error subject to the constraint that the maximum w′-weighted error is minimized. For the problem of minimizing the maximum w′-weighted error, we give an algorithm which runs in O(n³ log²n) time for multiprocessors and O(n²) time for a single processor. For the problem of minimizing the total w-weighted error subject to the constraint that the maximum w′-weighted error is minimized, we give an algorithm which also has the same time complexity.     

算子点态遍历定理

本文证明了关于Ｌ^P（１≤Ｐ≤∞）空间中线性算子与非线性算子的几个点态遍历定理，还推广了Ｙｏｓｉｄａ与ＫａＫｕｔａｎｉ关于拟紧算子的一致遍历定理。     

加权总体最小二乘问题的解集和性质

本文讨论了加权总体最小二乘问题的等价解集，分析了加权总体最小二乘解与加权最小二乘问题的解之间的关系。推广了Ｇｏｌｕｂ和Ｖａｎ Ｌｏａｎ，Ｖａｎ Ｈｕｆｆｅｌ和Ｖａｎｄｅｗａｌｌｅ，及Ｗｅｉ的相应结果。     

PP回归方法在预测模型中的应用－用PP回归建立“积累”“消费”模型

本文利用ＰＰ回归方法,建立“积累”“消费”回归模型,并与最小二乘法拟合的线性回归模型相比较,说明用ＰＰ回归建立的模型预测精度较高．     

并苯纳米环[6]CA及其衍生物的电子结构和光物理性质的密度泛函理论研究

采用密度泛函理论PBE0方法在6-31G(d, p) 基组水平上对比研究并六苯纳米环[6]CA及BN取代纳米环[6]CA-BN的几何结构及电子性质. 同时探讨锂离子掺杂对不同体系的芳香性、前线分子轨道、电子吸收光谱及传输性质的影响. 通过电离势、亲合势及重组能的计算, 预测纳米环体系得失电子的能力及传输性能. 结果表明:[6]CA的能隙很小, BN取代后, 能隙明显增大; 锂离子掺杂到两种纳米环中, 在不明显改变前线分子轨道分布的前提下, 几乎同步降低了最高占据轨道、 最低未占据轨道能级, 锂离子掺杂使载流子传输性能得到很大改善; 电子吸收光谱拟合发现, BN取代使吸收光谱很大程度蓝移, 吸收强度明显减小; 而锂离子掺杂对光谱的强度及吸收范围没有明显影响. 关键词： 碳纳米环 硼氮纳米环 锂离子掺杂 密度泛函理论     

基于Dempster-Shafer证据理论的信任评估模型

从网格的动态性、分布性、不确定性等特征出发,参考社会学的人际信任关系结构,提出了一种基于Dempster-Shafer证据理论（简称D-S理论）的信任评估模型．该模型根据网格节点间的历史交易记录,给出“直接信任”的形式化描述,建立网格节点信任推荐机制,并利用D-S理论对证据进行组合,从而得到“间接信任”．然后将直接信任和间接信任进一步组合为“综合信任”,从而有效实现信任信息的融合．将本文提出的信任度评估方法应用到调度算法中,结果证明了该信任模型的可行件和实用件．     

An improved evaluation of the neutron background in the PandaX-Ⅱ experiment

In dark matter direct detection experiments,neutron is a serious source of background,which can mimic the dark matter-nucleus scattering signals.In this paper,we present an improved evaluation of the neutron background in the PandaX-II dark matter experiment by a novel approach.Instead of fully relying on the Monte Carlo simulation,the overall neutron background is determined from the neutron-induced high energy signals in the data.In addition,the probability of producing a dark-matter-like background per neutron is evaluated with a complete Monte Carlo generator,where the correlated emission of neutron(s)andγ(s)in the(α,n)reactions and spontaneous fissions is taken into consideration.With this method,the neutron backgrounds in the Run 9(26-ton-day)and Run 10(28-ton-day)data sets of PandaX-II are estimated to be(0.66±0.24)and(0.47±0.25)events,respectively.