拉曼光谱在医学上的应用（Ⅰ）

本文叙述了最近拉曼光谱在生物医学应用上的技术进步，总结了拉曼光谱在生物医学上的应用，以及它在诊断和临床应用中的作用     

上海软X射线自由电子激光装置直线加速器束流位置测量系统研制

上海软X射线自由电子激光装置（SXFEL）作为中国第一台工作在软X射线波段的第四代光源,其产生的激光具备短波长、全相干、超高亮度、超短脉冲长度等优点,预期将会在基础科学研究领域中发挥出重要的作用。基于直线加速器的特点和需求,在SXFEL的注入器与直线加速段上选择了条带型束流位置测量系统（SBPM）作为束团位置测量工具。该系统由SXFEL束测团队自主研发设计,由条带探头、前端信号调理电子学与专用数字信号束流位置处理器（DBPM）组成,系统设计上借鉴上海同步辐射光源（SSRF）的同类型设备,并根据SXFEL的特点做了进一步的优化,束流实验结果表明该系统位置测量系统分辨率好于5.7 μm@188 pC,达到国际先进水平,满足了SXFEL注入器和直线加速器段对束流位置测量分辨率的设计要求。     

波长调制吸收光谱技术的燃气轮机燃烧室温度组分二维分布测量方法

可调半导体激光光谱技术(TDLAS)可实现温度、组分浓度等多参数同时测量,具有体积小、响应速度快、环境适应性高等优点,逐渐成为燃烧流场诊断的主要手段之一.TDLAS光谱测量常采用直接吸收技术和波长调制技术,其中强度归一化的波长调制技术,适合存在振动、湍流等致光束偏转效应和强辐射本底等恶劣应用环境条件的燃气轮机流场参数测...     

A Bayesian approach to vectorization of object boundaries from digital images and to geometrical uncertainty assessment

A new Bayesian approach is presented for extracting 2D object boundaries with measures of uncertainty. The boundaries are described by minimal closed sequences of segments and arcs, called mixed polygons. The sequence is minimal in the sense that it is able to describe all the geometrical properties of the boundary without being redundant. Based on geometrical measures evaluated on the object boundary model, a prior distribution is introduced in order to favor a mixed polygon with good geometrical properties, avoiding short sides, collinearity between segments, and so on. The estimation process is based on a two‐stage procedure that combines reversible‐jump MCMC (RJMCMC) and classic MCMC methods. The RJMCMC method is viewed as a model selection technique, and it is used to estimate the correct number of sides of the mixed polygon. The MCMC algorithm provides a sample of mixed polygons through which to evaluate the mixed polygon that best approximates the object boundary and its geometrical uncertainty. A convergence criterion for the RJMCMC method is provided. Copyright © 2011 John Wiley & Sons, Ltd.     

基于直推式学习的网络故障诊断算法

网络故障的及时诊断能够保证日常工作、学习和生活能够正常进行。传统的基于监督式学习的诊断方法依赖于大量具有鉴别意义的样本,这在实际情况中通常难以得到满足。针对上述问题,本文提出了一种基于直推式学习的诊断算法。针对大规模的网络管理的特征数据,本算法利用主成分分析对特征进行降维,并利用新的度量下的特征数据来构建拉普拉斯矩阵;该矩阵能够很好的描述带检测样本和训练样本之间的关系。在此基础上,本文设计了基于直推式学习的目标函数,并利用拉格朗日乘子法完成了优化。实验部分证明了本算法能够在有限数目的带标签的样本的前提下获得精确的分类结果,能够显著提高网络故障诊断的检测率。     

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.     

Vibrational Spectral Biodiagnosis of Ocular Calcification

Abstract

Ocular calcification is a biological mineralization. It is also a well-known human ophthalmic disease but is a complex process because the pathophysiology of calcium deposition in ocular tissues depends on site-specific factors. Calcified deposits in the eyes are asymptomatic lesions; a serious consequence of ocular plaques is the potential partial or total loss of vision in the affected eye. Therefore, a better understanding of the exact compositional components and origin of calcified plaques in different eye tissues is necessary and merits exploration. The present review article includes information on different diagnostic or analytical techniques to examine human ocular calcification collected and compiled from 2005 to 2013, together with data on the application of vibrational spectroscopy in ophthalmology studies from 1990 onwards. This overview of ocular calcification is mainly focused on two aspects: the pathogenesis and mechanism of calcification in different ocular tissues and biomedical applications of vibrational spectroscopy to spectral biodiagnosis of eye tissues. A summary of the in vitro, in situ, and in vivo spectral information that is expected to assist physicians in the diagnosis and treatment of patients or satisfy patients of the clinical competence of the diagnosis is provided.     

广角任意反射面速度干涉仪的光学性质研究

研究了广角任意反射面速度干涉仪(VISAR)的光学性质。阐述了广角VISAR的原理,指出广角诊断靶中椭球镜的作用是将靶丸内表面成虚像在靶丸中心附近。使用Zemax模拟了成像弯曲对动态干涉条纹形成的影响,提出使用异形光纤面板进行像面矫正。研究了工程误差对干涉仪成像的影响,若要取得良好的成像效果,椭球镜的位置偏差不得多于30 μm,倾角不得超过4°,长轴方向加工误差需小于0.1 μm,短轴方向误差需小于4 μm,镜面反射率应高于70%。讨论了广角VISAR光学研究的进一步发展方向如影响动态条纹的更多可能因素、像面矫正的其他方法、物与像面的光学对应等。     

红外光谱技术在医学中的应用

系统回顾了过去50余年中红外光谱技术的发展创新及在生物医学领域中的研究应用。傅里叶变换红外光谱技术已从对单个细胞水平结构构成与形态的研究进展到组织水平。现代红外光谱技术联合成熟的模式识别技术与组织微阵列技术,为平行大规模测定分子结构提供了可能。此外,红外光谱技术的临床应用为良恶性肿瘤的判别提供了可信的参考依据,并可准确判别甲状腺、乳腺、胃肠道及腮腺等组织的良恶性,具有极广泛的应用前景。     

Modeling,analysis and performance evaluation for fault diagnosis and Fault Tolerant Control in bottle-filling plant modeled using Hybrid Petri nets

In this paper, an approach to achieve fault diagnosis and Fault Tolerant Control in a typical bottle-filling plant using event based techniques is discussed. For this purpose, the plant is modeled using Hybrid Petri nets which enable study and analysis with regard to the working of the plant. Once effective modeling is done based on two different case studies considered, new algorithms are proposed to achieve fault diagnosis and Fault Tolerant Control on the models developed. Finally, performance measures with regard to the models proposed are evaluated to check the correctness of the models developed. Both analytical and numerical results are obtained which are highly useful to understand plant behavior.