参激随机共振及纠错码技术的应用

为了有效地降低数字信号传输过程中的比特误码率,提出了纠错编码与参数调节随机共振技术的结合.在经过噪声污染后,依据参数调节随机共振技术的性质,给出通过系统参数调节的二进制脉冲幅值调制（PAM）输入信号的渐近误码率公式,应用纠错码技术采用中间值估计的方法得到修正的比特误码率.数字仿真试验证实,理论计算结果与试验结果相吻合,纠错码技术与参激随机共振技术的结合应用于二进制基带信号传输,可以降低误码率,从而可以得到更好的效果,提高通信的可靠性和有效性.     

基于DSP芯片的斜齿轮插齿数控加工技术研究

国内斜齿轮加工一般采用滚齿机或者进口插齿机,由于产品体积过大和机床价格昂贵而受到限制.文章对采用DSP芯片的数控插齿加工技术进行了研究,提出了虚拟轴插补技术以及用软件实现电子齿轮差动技术,利用DSP芯片的高速处理能力进行跟踪插补,经初步试验证明该方法理论上可行,实际中可以运用.     

Bayesian decision-based pattern recognition on spectrum signal of metal transfer modes

A software system of pattern recognition on spectrum signal of metal transfer mode has been developed using Visual Basic under Windows environment. On the basis of the coincidence relation between the spectrum signal and metal transfer mode, according to the geometrical pattern feature of the spectrum signal, several key characteristic parameters are extracted. The correspondent recognition function and a minimum distance classifier have been constructed based on Bayesian decision theory. The results show that using this system, the metal transfer mode of MIG, MAG, CO2 welding can be recognized automatically which provides the basis for automatically controlling of the metal gas arc welding metal transfer.     

下喷式环流反应器环隙气含率影响因素

下喷式环流反应器是一种用于强化气-液两相反应过程的新型装置，虽然已在工业上有了较广泛的应用，但对其理论研究远未成熟，其工业装置的设计仍依赖于实验和经验。本文借助实验室自制实验装置，对下喷式环流反应器环隙气含率的影响规律进行了研究。首先，对喷射器的吸气量进行了测量，获得了不同条件下喷射器最大吸气量的性能曲线；在此基础上，分别研究了气相流量、液相流量以及喷射器安装位置对环隙气含率的影响规律。结果表明：气相流量和液相流量对气含率具有重要的影响，随着气相流量和液相流量的增大，气含率快速提高，而喷嘴位置对气含率的影响相对较小；考虑到增加气相流量和液相流量所需要的能耗和设备代价，通过增加液相流量来达到提高气含率的目的是优选方案。     

异形管内水力、传热性能的数值模拟

通过数值计算考察了横纹管、缩放管两种异形管内的流动与传热性能。计算时采用标准k-ε湍流模型：采用控制容积法对控制方程进行离散化；采用SIMPLE算法进行压力修正：代数方程采用超松弛法迭代求解。很出了在充分发展流时的传热努塞尔数、速度、瘴撩系数及湍动能分布，并与光滑管内的流动传热进行了比较，分析了异形管在强化传热方面的机理。计算结果和实验值比较吻合。     

Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions

Epilepsy is a neurological disorder which is characterized by transient and unexpected electrical disturbance of the brain. The electroencephalogram (EEG) is a commonly used signal for detection of epileptic seizures. This paper presents a new method for classification of ictal and seizure-free EEG signals. The proposed method is based on the empirical mode decomposition (EMD) and the second-order difference plot (SODP). The EMD method decomposes an EEG signal into a set of symmetric and band-limited signals termed as intrinsic mode functions (IMFs). The SODP of IMFs provides elliptical structure. The 95% confidence ellipse area measured from the SODP of IMFs has been used as a feature in order to discriminate seizure-free EEG signals from the epileptic seizure EEG signals. The feature space obtained from the ellipse area parameters of two IMFs has been used for classification of ictal and seizure-free EEG signals using the artificial neural network (ANN) classifier. It has been shown that the feature space formed using ellipse area parameters of first and second IMFs has given good classification performance. Experimental results on EEG database available by the University of Bonn, Germany, are included to illustrate the effectiveness of the proposed method.     

Feature extraction of the first difference of EMG time series for EMG pattern recognition

This paper demonstrates the utility of a differencing technique to transform surface EMG signals measured during both static and dynamic contractions such that they become more stationary. The technique was evaluated by three stationarity tests consisting of the variation of two statistical properties, i.e., mean and standard deviation, and the reverse arrangements test. As a result of the proposed technique, the first difference of EMG time series became more stationary compared to the original measured signal. Based on this finding, the performance of time-domain features extracted from raw and transformed EMG was investigated via an EMG classification problem (i.e., eight dynamic motions and four EMG channels) on data from 18 subjects. The results show that the classification accuracies of all features extracted from the transformed signals were higher than features extracted from the original signals for six different classifiers including quadratic discriminant analysis. On average, the proposed differencing technique improved classification accuracies by 2–8%.     

Activation of a Au/TiO2 Catalyst by Loading a Large Amount of Fe–Oxide: Oxidation of CO Enhanced by H2 and H2O

Catalytic activity of a 1 wt% Au/TiO₂ catalyst is markedly improved by loading a large amount of FeO_x, on which the oxidation of CO in excess H₂ is selectively promoted at temperature lower than 60 °C. Oxidation of CO with O₂ on the FeO_x/Au/TiO₂ catalyst is markedly enhanced by H₂, and H₂O moisture also enhances the oxidation of CO but its effect is not so large as the promotion by H₂. We deduced that activation of Au/TiO₂ catalyst by loading FeO_x is not caused by the size effect of Au particles but a new reaction path via hydroxyl carbonyl intermediate is responsible for the superior activity of the FeO_x/Au/TiO₂ catalyst.     

Chemical properties of femoral gland secretions in the desert iguana,Dipsosaurus dorsalis

This study investigates the chemistry of femoral gland secretions in the desert iguana,Dipsosaurus dorsalis (Lacertilia: Iguanidae), and discusses their possible functional significance. Electrophoretic and proton NMR studies indicated that the secretions are composed of approximately 80 % protein and 20% lipid material. Individual differences in polyacrylamide gel banding patterns of femoral gland proteins were found. Reflectance spectroscopy revealed that the secretions strongly absorb longwave ultraviolet light, a feature that may be important in the localization of secretion deposits in the environment.     

城市污水处理厂污泥中温两相厌氧消化的研究

采用中温两相厌氧消化处理西安市污水处理厂污泥,结果表明,污泥可在较短的停留时间(296 h,产酸相30 h,产甲烷相266 h),较高的有机负荷(约2.65 kg VS/m3.d)下稳定运行,系统VS去除率38.87%,pH≈7.5,产气速率6.33 L/L.d,单位VS产气率3.00 L/g。与单相厌氧消化处理结果对比,两相厌氧消化系统的停留时间可减少一半,而污泥有机负荷提高2倍,且有机物的去除率大,处理效果好,稳定性高,抗冲击负荷能力强,产气性良好。