纳米SiC蓝光发射的研究

在４．６８ｅＶ的激光激发下，室温ＣＶＤ合成的纳米ＳｉＣ粉体，可发射４７５ｎｍ的蓝光，经６００～１１００℃在Ｎ２气氛下进行快速退火（ＲＴＡ）处理，其荧光强度随退火温度升高而增强，当Ｔ≥９００℃时，荧光强度下降，但发光峰位与退火温度无关．通过ＸＲＤ、ＩＲ、ＴＥＭ、ＸＰＳ等研究，认为纳米ＳｉＣ中与氧有关的缺陷可能是引起４７５ｎｍ蓝光发射的主要原因     

Identification and control of nonlinear systems by a dissimilation particle swarm optimization-based Elman neural network

In this paper, we first present a learning algorithm for dynamic recurrent Elman neural networks based on a dissimilation particle swarm optimization. The proposed algorithm computes concurrently both the evolution of network structure, weights, initial inputs of the context units, and self-feedback coefficient of the modified Elman network. Thereafter, we introduce and discuss a novel control method based on the proposed algorithm. More specifically, a dynamic identifier is constructed to perform speed identification and a controller is designed to perform speed control for Ultrasonic Motors (USM). Numerical experiments show that the novel identifier and controller based on the proposed algorithm can both achieve higher convergence precision and speed than other state-of-the-art algorithms. In particular, our experiments show that the identifier can approximate the USM's nonlinear input–output mapping accurately. The effectiveness of the controller is verified using different kinds of speeds of constant, step, and sinusoidal types. Besides, a preliminary examination on a randomly perturbation also shows the robust characteristics of the two proposed models.     

Generalizations of ?wierczkowski’s lemma and the arity gap of finite functions

?wierczkowski’s lemma-as it is usually formulated-asserts that if f:Aⁿ→A is an operation on a finite set A, n≥4, and every operation obtained from f by identifying a pair of variables is a projection, then f is a semiprojection. We generalize this lemma in various ways. First, it is extended to B-valued functions on A instead of operations on A and to essentially at most unary functions instead of projections. Then we characterize the arity gap of functions of small arities in terms of quasi-arity, which in turn provides a further generalization of ?wierczkowski’s lemma. Moreover, we explicitly classify all pseudo-Boolean functions according to their arity gap. Finally, we present a general characterization of the arity gaps of B-valued functions on arbitrary finite sets A.     

一种机械结构结合面动力学参数识别方法

机械结构结合面刚度和阻尼的确定是对结构进行动态分析和优化设计的关键问题之一。本文提出一种结合面动力学参数识别方法。该方法通过实测结构少量几个点上的振型和传递函数确定结合面参数。它不要求预先建立结构各部件的解析模型,也不需要实测整个结构完整的动态信息,因此适用于复杂结构结合面动力学参数的识别。文章阐明了结合面参数的识别原理,并讨论了如何消除实验误差对识别结果的影响。用本文方法识别了一台钻床的结合面参数,得到了令人满意的结果。     

Intelligent Fault Identification for Rolling Bearings Fusing Average Refined Composite Multiscale Dispersion Entropy-Assisted Feature Extraction and SVM with Multi-Strategy Enhanced Swarm Optimization

Rolling bearings act as key parts in many items of mechanical equipment and any abnormality will affect the normal operation of the entire apparatus. To diagnose the faults of rolling bearings effectively, a novel fault identification method is proposed by merging variational mode decomposition (VMD), average refined composite multiscale dispersion entropy (ARCMDE) and support vector machine (SVM) optimized by multistrategy enhanced swarm optimization in this paper. Firstly, the vibration signals are decomposed into different series of intrinsic mode functions (IMFs) based on VMD with the center frequency observation method. Subsequently, the proposed ARCMDE, fusing the superiorities of DE and average refined composite multiscale procedure, is employed to enhance the ability of the multiscale fault-feature extraction from the IMFs. Afterwards, grey wolf optimization (GWO), enhanced by multistrategy including levy flight, cosine factor and polynomial mutation strategies (LCPGWO), is proposed to optimize the penalty factor C and kernel parameter g of SVM. Then, the optimized SVM model is trained to identify the fault type of samples based on features extracted by ARCMDE. Finally, the application experiment and contrastive analysis verify the effectiveness of the proposed VMD-ARCMDE-LCPGWO-SVM method.     

低温预冷换热规律及表面改性影响研究

调研了低温管路预冷及两相换热的研究现状,阐述了低温预冷瞬态换热特性;介绍了金属表面改性对预冷规律的影响,仿真了低导热涂层管的预冷换热规律。研究发现:液氮预冷主要由膜态沸腾支配,且预冷耗时较长;液氢预冷未见膜态沸腾,预冷耗时更短。促进膜态沸腾向过渡沸腾的更早转化有利于预冷加速,且转化温度迁移可通过内壁表面结构改性实现,可采用的方法包括表面纳米微结构、低导热涂层、增加微肋结构等,讨论了结构改性对换热规律及预冷效率的影响。     

Extended specificity studies of mRNA assays used to infer human organ tissues and body fluids

Messenger RNA (mRNA) profiling is a technique increasingly applied for the forensic identification of body fluids and skin. More recently, an mRNA‐based organ typing assay was developed which allows for the inference of brain, lung, liver, skeletal muscle, heart, kidney, and skin tissue. When applying this organ typing system in forensic casework for the presence of animal, rather than human, tissue is an alternative scenario to be proposed, for instance that bullets carry cell material from a hunting event. Even though mRNA profiling systems are commonly in silico designed to be primate specific, physical testing against other animal species is generally limited. In this study, human specificity of the organ tissue inferring system was assessed against organ tissue RNAs of various animals. Results confirm human specificity of the system, especially when utilizing interpretation rules considering multiple markers per cell type. Besides, we cross‐tested our organ and body fluid mRNA assays against the target types covered by the other assay. Marker expression in the nontarget organ tissues and body fluids was observed to a limited extent, which emphasizes the importance of involving the case‐specific context of the forensic samples in deciding which mRNA profiling assay to use and when for interpreting results.     

工具痕迹鉴定中的光学技术研究

工具痕迹由于形成的原因不同，其表面形成的原因不同，其表面形貌呈现多样性，从尺度范围上，大致可分为两类；一类痕迹尺度范围较大，一般在毫米级以上，可称为宏观痕迹；第二类痕迹尺度范围较小，一般在微米级，可称为微观痕迹，利用光学投影，缩束显微，二维调制图像模数转换及低通滤波去噪算法，小波变换，智能模板相位复原等处理技术。可精确，快速地得到工具痕迹鉴定所需的形貌信息，这成为用于识别，诊断领域中的光学图像处理新技术。本文介绍上述技术特点。并且提供了典型的应用实例。     

增韧环氧树脂的动态裂纹扩展研究

本文主要进行了环氧及增韧环氧树脂的断裂韧性及裂纹快速扩展的试验研究。试验过程中采用了ＧＬＣ－１型高速裂纹扩展测试仪来测试裂纹的扩展速度,得到在裂纹扩展过程中裂纹扩展速度曲线。本文结合不同的计算公式及有限元分析方法,讨论了各个确定断裂韧性公式的准确程度,发现传统的静态断裂韧性的分析方法所得到的结果偏大,有一定的危险性,建议使用试验与数值计算相结合的方法;同时还发现增韧不仅可以提高材料的静态和动态断裂性能,而且在裂纹扩展过程中可以起到减缓裂纹扩展的作用     

高温~1H NMR鉴别8种海参硫酸软骨素

提取了8种海参中的粗多糖,经DEAE-52阴离子交换柱分离纯化得到其中的海参硫酸软骨素(SC-CHS),除日本刺参CHS外其余均为首次获得的海参多糖。对获得的SC-CHS进行分子量、单糖组成及硫酸基含量等基本性质分析后,利用高温1HNMR对SC-CHS结构进行初步鉴别。结果表明,高温条件下SC-CHS的1HNMR图谱具有较好的分辨度。对其支链硫酸化岩藻糖的异头氢进行归属和比较,并以此为指标鉴别不同种类海参硫酸软骨素的结构差异,建立了一种以海参硫酸软骨素结构特征为指标的海参指纹图谱;初步探讨了不同海域生长的海参中硫酸软骨素支链岩藻糖硫酸基的特点,比较发现:寒带海域海参的硫酸软骨素岩藻糖上硫酸基取代以2,4-di OSO3、3,4-di OSO3双取代为主,含部分4-OSO3单取代;温带海域海参以2,4-di OSO3双取代为主,含部分4-OSO3单硫酸基取代;热带亚热带海域海参以2,4-di OSO3双取代和4-OSO单取代为主。这将为海参构效关系的进一步分析鉴定提供理论依据。