六种蜂花粉的红外光谱三级鉴别研究

采用傅里叶变换红外光谱(FTIR)结合二阶导数谱和热扰动下的二维相关红外光谱技术对6种不同花粉,即杏花花粉、油菜花粉、茶花花粉、西瓜花粉、荷花花粉和虞美人花粉,进行了快速无损的鉴别。结果表明,在一维红外光谱图上,不同花粉的蛋白质、脂肪和糖类物质的特征吸收峰在相对峰强和峰位上均存在一定的差异,在二阶导数谱上差异很明显。而在二维红外谱图上,由于6种花粉的自动峰及相关峰峰簇的位置和数量不同,其差别体现得更为明显和直观。因此,三级红外宏观指纹图谱法是鉴别不同蜂花粉种类的一种有效和快速检测方法。     

Characteristics of heavy ion tracks in bubble detectors

Characteristics of tracks created by heavy ions in bubble detectors have been studied in detail by using four types of super long (23 cm), self-made bubble detectors and six species of high energy heavy ions: ¹²C, ²⁸Si, ⁴⁰Ar, ⁵⁶Fe, ⁸⁴Kr and ¹³²Xe. The following characteristics of heavy ion tracks in bubble detectors have been recognized:

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Identification of stiffness properties of composite tubes from dynamic tests

The identification of the stiffness properties of typical laminated composite tubes from dynamic tests is presented. Unknown coefficients are identified by a technique of model updating. The fomulation is based on the minimization of the eigensolution residuals (sensitivity method). Errors of generalized masses are considered. The technique allows for the simultaneous identification of several properties from a single test. Stiffness properties of extension, bending/twisting and transverse shear are identified. Important points of the model updating of tubes in dynamics are addressed: potential energy evaluation, placement of sensors and the problem of multiple eigenvalues. Results obtained by numerical simulation show the efficiency of the proposed method.     

Identification of Transverse Crack Position and Depth in Rotor Systems

This paper introduces a method for the identification of the position and the depth of a transverse crack in a rotor system, by using vibration measurements. As it is reported in literature and from field experience, a transverse crack modifies the dynamic behaviour of the rotor, generating in a horizontal axis shaft periodical vibrations with 1x, 2x and 3x rev. components. A model-based diagnostic approach and a least-squares identification method in the frequency domain are used for the crack localisation along the rotor. The crack depth is calculated by comparing the static bending moment, due to the rotor weight and to the bearing alignment conditions, to the identified 'equivalent' periodical bending moment, which simulates the crack. Finally, the validation of the proposed method is carried out statically and dynamically by means of experimental results obtained on a test-rig.     

递推阻尼最小二乘法

递推最小二乘法是参数辨识中最常用的方法,但容易产生参数爆发现象,本文推导了一种更稳定的辨识方法－阻尼最小二乘法的递推求解算法。     

金乌贼脑和视神经节蛋白质组比较分析

采用双向凝胶电泳(2D-PAGE)技术优化分离金乌贼的脑及视神经节全蛋白质, 并选用肽质量指纹谱(Peptide mass fingerprinting, PMF)技术和数据库检索方法对2D-PAGE图谱上的部分蛋白质斑点进行鉴定, 初步构建了金乌贼视神经节(Optic ganglion of Sepia esculenta, SEOG)和脑神经节(Cerebral ganglion of Sepia esculenta, SECG)部分分子解剖图谱. 用Melanie 4 Trial软件分析脑神经节和视神经节蛋白质斑点总数量分别为682和594个, 其中SECG蛋白质斑点数量明显多于SEOG. 在脑神经节和视神经节中均发现了线粒体苹果酸脱氢酶前体(Mitochondrial malate dehydrogenase precursor, pre-MDH)及可溶性NSF连接蛋白(SNAP-type proteins). 此外, 延长因子(Elongation factor G)、微管蛋白(Tubulin)和肌动蛋白(Actin)等蛋白质也具有高匹配率. 已鉴定的蛋白质, 多数归属于假定蛋白和结构蛋白类.     

应用FTIR直接测定法鉴定大豆的品种

利用傅里叶变换红外光谱(FTIR)法测定了8个不同大豆品种的子叶及外表皮的红外光谱,对他们的红外光谱进行了分析,并对其吸收峰进行了归属。通过对各谱图的比较分析发现,不同的大豆品种的红外吸收峰形及峰强有所区别。结果表明： 不同的大豆品种的FTIR有明显的差别,特别是1 800～1 200 cm-1范围内有较大的差异,它反映的主要是蛋白质分子的酰胺Ⅰ带及酰胺Ⅱ带附近,这可能是源于基因的差异。因此FTIR法可用于不同大豆品种的鉴别。     

FIR数字滤波器的递推最小二乘设计算法

本文考虑对称系数及反对称系数的ＦＩＲ数字滤波器的设计问题,设计准则选为最小加权平方误差准则,并将这个设计问题看成一个线性系统的辨识问题,辨识系统参数所需的输入数据由一随机抽样法产生,辨识算法采用递推最小二乘法．按随机抽样法产生的数据具有很强的激励,保证了被辨识参数的收敛性,同时又自然地实现了最小加权平方误差准则．两个设计范例说明了本文提出的设计方法的有效性．     

基于RFID技术的物联网在现代物流中的应用

物联网技术近年来成为了计算机信息技术研究的热点领域,基于RFID技术的物联网也开始在现代物流中发挥日益重要的作用.本文在简要介绍物联网发展及其关键技术RFID技术的基础上,阐述了RFID技术在现代物流业各环节中的应用.最后提出了物联网物流在发展过程中需要关注和解决的一些问题.     

射频识别技术和GSM网络在汽车防盗中的应用

现代社会家用汽车的普及使汽车防盗系统的研究就成为当前越来越热门的课题,因此,研究汽车防盗报警系统具有重要的实际应用价值。采用RFID技术与GSM模块一起组成的网络式汽车防盗系统能实现对汽车的远程报警、跟踪、控制,能有效地解决传统报警器存在的各种问题。本文探讨了RFID和GSM系统在汽车防盗中的应用,给出了该应用的具体实现框图,并对其实现的功能做了阐述。