基于近红外光谱和ELM算法的菱镁矿石品级分类研究

由工业发展需求,针对菱镁矿石矿物含量不同以及分布不均匀而难以判定其品级的情况,提出一种由近红外光谱技术结合ELM的菱镁矿石品级分类模型。该模型可以实现菱镁矿石品级的快速分类。近红外光谱利用菱镁矿中不同种类含H基团对近红外光谱有不同吸收的特性,用来测定菱镁矿石的成分及其含量,其操作简便、不破坏样品、速度快、准确高效。以辽宁省营口市大石桥的菱镁矿石30组为研究对象,采集菱镁矿石的近红外光谱数据样本30×973。采用主成分分析(PCA)对其进行降维处理,以主元贡献率大于99.99%而得到10维的特征变量值。建立了ELM算法定量分析数学模型,取20组样本为训练样本(包括6组特级,14组非特),其余10组作为测试样本(其中4组特级,6组非特),ELM算法模型的隐含层节点数选取20。为了进一步提高分类效果,提出两种ELM算法模型的改进：采用循环模式对传统ELM的输入权值和阈值进行寻优的精选ELM和在精选ELM基础上进行集成的集成-精选ELM。并与用人工方法、化学方法和BP神经网络模型方法对菱镁矿石样品品级分类作对比。结果表明：近红外光谱和ELM菱镁矿石品级分类模型不论在时间上还是成本上,都具有明显的优势,且其准确率能够达到90%以上,为菱镁矿石品级分类提供了一条新的途径。     

An auditory periphery model for improving narrow-band noise recognition rate of underwater targets

The recognition rate of the auditory periphery features decreases when the model is used to identify underwater targets in practice. To solve this problem, an improved method based on Gammatone filter bank is proposed. Firstly, after the reason of the decreasing of the recognition results is analyzed,the mechanism of multichannel data acquisition in acoustic engineering may narrow down signal frequency range, which leads to time-frequency features distortion. Secondly, the Gammatone filter bank is implemented to simulate frequency decomposition characteristics of human ear basilar membrane. Since the class information of the underwater noise signal is mostly contained in low frequency range, the auditory features of the conventional model are interpolated and the channel number of the filter bank and the central frequency of each frequency band are adjusted accordingly to obtain a 27-dimensional feature vector of the narrow-band target signal. The adjusted model may reflect the target's timefrequency feature more precisely. Finally, the performance of the auditory features is tested by a Neural Network classifier. The experiment results show that the modified auditory model is more effective than the conventional ones. The major information contained in broadband signals is reserved and the classification ability for real targets is further enhanced. The recognition results are increased from 82.59% to 88.80%. The modified auditory features effectively improve the recognition rate for underwater target radiated noise signals.     

Above-Threshold Dissociation of HD+ in Femtosecond Laser Field

The above-threshold dissociation （ATD） of the HD＋ molecular ion in femtosecond laser field is investigated theoretically. The energy-dependent distribution of the dissociated fragments is calculated using an asymptoticflow expression in the momentum space. The calculations show that the ATD of HD＋ is sensitive to the initial vibrational level of ground electronic state. Multiphoton ATDs can be observed in the dissociation processes. The dynamics phenomena are interpreted by using the concept of light-dressed potential.     

不用固定规范的微扰论

本文建议从趋向平衡的Langevin方程出发,建立量子场论的微扰展开.文中证明了这种表述可用于规范理论,无需固定规范就能正确算出规范不变的量.文中还给出了简单例子的计算细节,并讨论了Langevin方程的微扰解趋向平衡的速率.     

硅晶体中单个位错的运动

本文利用化学浸蚀方法,在400—900℃的温度范围内,在0.35—13kg·mm^{-2的应力条件下,测量了硅晶体中单个位错的运动速度。实验结果表明,位错运动速度V(τ,T)作为温度(T)和分解切应力(τ)的函数,满足如下方程:V(τ,T)=Aτme-Q/(KT)。式中m=1.02—1.49,Q=1.96—2.07eV。最后,把实验结果与扩展位错的弯结模型作了比较。 关键词：}     

A new approach to variable selection in least squares problems

The title Lasso has been suggested by Tibshirani (1996) as acolourful name for a technique of variable selection which requiresthe minimization of a sum of squares subject to an l₁ bound on the solution. This forces zero components in the minimizingsolution for small values of . Thus this bound can functionas a selection parameter. This paper makes two contributionsto computational problems associated with implementing the Lasso:(1) a compact descent method for solving the constrained problemfor a particular value of is formulated, and (2) a homotopymethod, in which the constraint bound becomes the homotopyparameter, is developed to completely describe the possibleselection regimes. Both algorithms have a finite terminationproperty. It is suggested that modified Gram-Schmidt orthogonalizationapplied to an augmented design matrix provides an effectivebasis for implementing the algorithms.     

MXenes复合材料的发展:界面调控及结构设计

MXenes作为一类新兴的二维材料, 因具有独特的亲水性、 优异的力学性能、 丰富的表面官能团、 高导电率、 光热以及光电效应等性能而成为研究热点, 广泛应用在电磁屏蔽、 电化学储能、 生物医药、 分离、 传感器和海水淡化等领域. 虽然MXenes具有这些优异的性能, 但是其存在的与疏水性高分子相容性差、 带负电的官能团阻碍电解质运输及易氧化等问题限制了其实际应用. 近年来, 通过对MXenes进行界面调控以解决其固有缺陷, 并在此基础上对MXenes进行针对性的结构设计以提升界面稳定性, 其性能得到了进一步提升. 本文对MXenes复合材料发展过程中在界面调控和结构设计方面的研究进展进行总结, 并重点介绍了MXenes的结构和性质及MXenes在复合材料中的界面调控手段, 对MXenes复合材料的结构设计进行了阐述, 并对MXenes复合材料的发展前景进行了展望.     

激光粒度分析技术在药物研究和质量控制中的应用进展

近年来,激光粒度分析技术广泛应用于药物的质量研究和质量控制领域.从激光散射测定粒度的原理、仪器的一般要求和影响测试结果的因素、方法验证的要求以及该技术在药物领域中最新应用等方面进行综述,为激光粒度分析技术在药物中的应用开发提供有益的参考.     

Bound states of schrödinger equations with electromagnetic fields and vanishing potentials

We study the bound states to nonlinear Schrödinger equations with electro-magnetic fields $\text{i}h\frac{?\psi }{?t}={(\frac{h}{i}?-A(x))}^2\psi +V(x)\psi -K(x){|}^{p-1}\psi =0,\text{on}{?}_{+}\times {?}^N$. Let $G(x)={[V(x)]}^{\frac{p+1}{p-1}-\frac{N}{2}}{[K(x)]}^{-\frac{2}{p-1}}$ and suppose that G(x) has k local minimum points. For h > 0 small, we find multi-bump bound states ψh(x,t) = _e^?lEt/^h_Uh(χ) with Uh concentrating at the local minimum points of G(x) simultaneously as h → 0. The potentials V(x) and K(x) are allowed to be either compactly supported or unbounded at infinity.     

超支化高分子结构和聚集态研究的新进展

超支化高分子上具有大量的活性末端基,对这些末端基的修饰和功能化会使其聚集态结构发生变化.文中针对超支化高分子所具有的独特结构和性能特点,概述了超支化高分子的构象结构和聚集态结构的研究现状,系统讨论了超支化高分子的支化度、分子量分布、空间尺度、玻璃化转变温度和特性粘度等分子结构参数,并在此基础上介绍了超支化高分子的物理化学性质和分析表征方法,同时综述了国内外学者在该领域的贡献,展望了该领域的研究进程和发展前景.