基于改进MobileFaceNet的人脸识别方法北大核心

针对目前大多数人脸识别算法参数多、计算量大,难以部署到移动端和嵌入式设备中的问题,提出了一种基于改进MobileFaceNet的人脸识别方法。通过对MobileFaceNet模型结构的调整,将bottleneck模块优化为sandglass模块,改良深度卷积和逐点卷积的相对位置,适当增大sandglass模块的输出通道数,从而减少特征压缩时的信息丢失,增强人脸空间特征的提取。实验结果表明:改进后的方法在LFW测试数据集上准确率达99.15%,模型大小和计算量分别仅为原算法的61%和45%,验证了所提方法的有效性。     

On multiobjective combinatorial optimization and dynamic interim hedging of efficient portfolios

A dynamic portfolio policy is one that periodically rebalances an optimally diversified portfolio to account for time‐varying correlations. In order to sustain target‐level Sharpe performance ratios between rebalancing points, the efficient portfolio must be hedged with an optimal number of contingent claim contracts. This research presents a mixed‐integer nonlinear goal program (MINLGP) that is directed to solve the hierarchical multiple goal portfolio optimization model when the decision maker is faced with a binary hedging decision between portfolio rebalance periods. The MINLGP applied to this problem is formed by extending the separable programming foundation of a lexicographic nonlinear goal program (NLGP) to include branch‐and‐bound constraints. We establish the economic efficiency of applying this normative approach to dynamic portfolio rebalancing by comparing the risk‐adjusted performance measures of a hedged optimal portfolio to those of a naively diversified portfolio. We find that a hedged equally weighted small portfolio and a hedged efficiently diversified small portfolio perform similarly when comparing risk‐adjusted return metrics. However, when percentile risk measures are used to measure performance, the hedged optimally diversified portfolio clearly produces less expected catastrophic loss than does its nonhedged and naively diversified counterpart.     

一类新的能够渐进达到Gilbert-Varshamov界的Alternant子类码

本文基于Maximum Distance Separable(MDS)码的Hamming重量分布提出一类新的二元Alternant子类码.分析表明这类新的子类码包含整个BCH码类,并且可以渐进达到Gilbert-Varshamov(GV)界.     

Well‐Combined Magnetically Separable Hybrid Cobalt Ferrite/Nitrogen‐Doped Graphene as Efficient Catalyst with Superior Performance for Oxygen Reduction Reaction

Catalysts with low‐cost, high activity and stability toward oxygen reduction reaction (ORR) are extremely desirable, but its development still remains a great challenge. Here, a novel magnetically separable hybrid of multimetal oxide, cobalt ferrite (CoFe₂O₄), anchored on nitrogen‐doped reduced graphene oxide (CoFe₂O₄/NG) is prepared via a facile solvothermal method followed by calcination at 500 °C. The structure of CoFe₂O₄/NG and the interaction of both components are analyzed by several techniques. The possible formation of Co/Fe N interaction in the CoFe₂O₄/NG catalyst is found. As a result, the well‐combination of CoFe₂O₄ nanoparticles with NG and its improved crystallinity lead to a synergistic and efficient catalyst with high performance to ORR through a four‐electron‐transfer process in alkaline medium. The CoFe₂O₄/NG exhibits particularly comparable catalytic activity as commercial Pt/C catalyst, and superior stability against methanol oxidation and CO poisoning. Meanwhile, it has been proved that both nitrogen doping and the spinel structure of CoFe₂O₄ can have a significant contribution to the catalytic activity by contrast experiments. Multimetal oxide hybrid demonstrates better catalysis to ORR than a single metal oxide hybrid. All results make the low‐cost and magnetically separable CoFe₂O₄/NG a promising alternative for costly platinum‐based ORR catalyst in fuel cells and metal‐air batteries.     

A projection method for the numerical solution of linear systems in separable stiff differential equations

This paper deals with the efficient implementation of implicit methods for solving stiff ODEs, in the case of Jacobians with separable sets of eigenvalues. For solving the linear systems required we propose a method which is particularly suitable when the large eigenvalues of the Jacobian matrix are few and well separated from the small ones. It is based on a combination of an initial iterative procedure, which reduces the components of the vector error along to the nondominant directions of J and a projection Krylov method which reduces the components of the vector error along to the directions corresponding to the large eigenvalues. The technique solves accurately and cheaply the linear systems in the Newton's method, and computes the number of stiff eigenvalues of J when this information is not explicitly available. Numerical results are given as well as comparisons with the LSODE code.     

Single‐layer perceptron and dynamic neuron implementing linearly non‐separable Boolean functions

This paper presents a single‐layer perceptron (SLP) scheme with an impulse activation function (IAF) and a dynamic neuron (DN) with a trapezoidal activation function (TAF). Combining with some interesting properties of the offset levels, it is shown that many linearly non‐separable Boolean functions can be realized by using only one SLPwIAF or one DNwTAF. In the present work, a few appropriate IAF and TAF are adopted, and the inverse offset level method is used for the design of the SLPwIAF synaptic weights and the DNwTAF templates. The XOR and NXOR Boolean operations with two inputs and all 152 non‐separable Boolean functions with three inputs can be easily implemented by one SLPwIAF or one DNwTAF. Finally, the entire set of 152 DNwTAF templates associated with 152 non‐separable Boolean functions of three inputs is completely listed. Copyright © 2008 John Wiley & Sons, Ltd.     

Realization of Multidimensional Digital Transfer Functions with Separable Numerator or Denominator Polynomials

In this paper a straightforward z-domain procedure for realizing multidimensional transfer functions with either numerator or denominator polynomial separable is presented. This procedure yields structures with minimum number of multipliers. It is shown that the number of delay elements can be reduced by selecting the optimum values for certain parameters. To facilitate this theorems that are applicable for some special cases are presented.     

频域抽取多维向量基快速傅里叶变换

给出了频域抽取(DIF)多维向量基快速傅里叶变换(FFT)算法。对多维频域信号的每一维,采用向量基2频域抽取法,导出了快速算法蝶形运算的一般形式。该FFT算法适合于维数为任意整数的情况,当维数为1时,算法退化为著名的频域抽取向量基2 FFT算法。为了便于编程实现,以频域抽取3维向量基FFT算法为例,给出了快速算法实现流程,该流程易于向任意整数维推广。计算量比较结果显示,频域抽取多维向量基FFT算法比多维分离式FFT算法计算量低。     

离子液体对可磁分离TiO2光催化材料结构和性能的影响

采用溶胶-凝胶法分别在离子液体1-丁基-3-甲基咪唑四氟硼酸盐[BMim]BF₄、1-丁基-吡啶四氟硼酸盐[BPy]BF₄和1-丁基-3-甲基咪唑醋酸盐[BMim]Ac的辅助下制备可磁分离TiO₂/CoFe₂O₄(TCF)光催化材料, 采用X射线衍射分析(XRD)、N₂吸附-脱附分析(BET)和透射电子显微镜(TEM)研究了离子液体结构对可磁分离TiO₂的结构和性能的影响。结果显示: 200 ℃焙烧后样品[BMim]BF₄-TCF和[BPy]BF₄-TCF有锐钛矿相TiO₂ 生成, 而样品[BMim]Ac-TCF和TCF只有经400 ℃焙烧才出现锐钛矿相的衍射峰。当焙烧温度为800 ℃时, 样品[BMim]BF₄-TCF主要以锐钛矿相TiO₂存在(相对含量为92.6%), 说明离子液体中含有[BF₄^-]基团能降低锐钛矿相的晶化温度和能提高锐钛矿相高温稳定性。400 ℃焙烧后[BMim]BF₄-TCF和[BPy]BF₄-TCF的比表面积分别为125.7和120.3 m²/g, 高于[BMim]Ac-TCF(77.8 m²/g)和不加离子液体所制备样品TCF(63.7 m²/g)。说明阴离子BF₄^-有利于形成较大比表面积的TiO₂。在模拟太阳光照射120 min后, 经400 ℃焙烧后的样品[BMim]BF₄-TCF、[BPy]BF₄-TCF、[BMim]Ac- TCF对亚甲基蓝的降解速率分别为96%、87%、64%。     

航空液压管接头综述

航空液压管接头是直接影响飞机安全和可靠性的重要元件。为全面了解各类航空液压管接头性能,介绍了永久式、可分离式和柱端式三大类航空液压管接头的基本特点;从结构、原理、使用范围、设计标准和供应商等方面对主要液压管接头进行了详细阐述; 从耐压能力、拉脱强度、质量和安装等方面对比分析了三大类管接头中每种管接头的性能和优缺点;针对不同压力级别系统给出了航空液压管接头的选择推荐,展望了航空液压管接头未来的发展方向,指出了我国在该领域与国际先进水平的差距。