兑油提号法实现柴油低烧效益最大化

齐齐哈尔铁路分局实施兑油提号法 ,以降低柴油综合单价 ,实现了柴油低烧效益最大化。以 2 0 0 1年该铁路分局数据为例 ,说明柴油低烧对降低成本作用显著。介绍了兑油提号法计算原理及应采用的相关数据。论述了必须建立柴油低烧工作逐级负责制 ,对影响柴油低烧的用油各环节制订切实可行的控制标准 ,还必须对柴油低烧全过程实施动态监控及建立完善的柴油低烧激励机制等综合管理控制办法 ,以不断解决柴油低烧过程中出现的问题 ,为兑油提号法的有效实施提供条件。

李氏5号方水提液对神经元游离钙浓度的影响

目的观察李氏5号方水提液（LQET）对神经元游离钙浓度的影响。方法取出生1天内的SD大鼠，分离培养海马神经元，用阿糖胞苷抑制胶质细胞生长，细胞培养到第9～12天进行细胞内钙荧光测定。用荧光指示剂Fluo-3／AM负载细胞45min，借助共聚焦显微镜钙成像技术测定在30mmol／L的KCl作用下，不同干扰因素下培养的海马神经元胞浆游离钙荧光强度。结果正常条件下培养的神经元，细胞内游离钙浓度为75．67±8．65nmol／L，LQET使细胞内游离钙浓度提高到126．35±9．35mmol／L，但仍在正常上限范围内；L-型钙通道阻断剂硝苯地平预处理24h，30mmol／L KCl激活的细胞游离钙浓度降低到40．65±5．65nmol／L，与正常对照组比较差异显著。LQET与硝苯地平共同预处理后细胞游离钙浓度降低到90．75±10．15nmol／L，与单纯LQET预处理组和单纯硝苯地平组比较差异显著。10μ mol／L NMDA能明显增加细胞内钙荧光强度，且能在某一强度稳定，NMDA受体阻断剂MK-801可显著阻断这一效应。LQET预处理后，NMDA导致的胞浆钙荧光强度的增强效应明显降低，MK-801预处理后，LQET降低NMDA增强细胞内荧光的效应显著降低。结论LQET能通过L-型钙通道和NMDA受体对神经元细胞内钙浓度进行双向调定。

内燃机车用燃油低烧兑油提号的可行性分析

依据不同牌号的轻柴油凝点及冷滤点不同，应用兑油提号的经验公式，进行中间牌号的柴油勾兑，达到内燃机车用燃油的低烧（ 指烧低牌号燃油） 。此经验公式在齐齐哈尔机务段使用１年取得明显经济效益。

基于小波消噪的EMD模型在GPS振动信号处理中的应用

经验模式分解和小波分解是当前有效处理非平稳信号的两种时频分析方法,它们各具有其优缺点,适用于不同的应用。从对GPS振动信号的预处理、时域和频域处理入手,结果分析表明,对GPS振动信号先进行小波滤波消除随机噪声的干扰,再应用经验模式分解更有利于变形特征信息的分离和提取,提取的信号与振动平台记录数据更加吻合。

The Purification and Rejuvenation and Breeding Technology of Rice Variety Yunjing 29 with Fragrant and Soft Rice

Yunjing 29 bred by Institute of Food Crops of Yunnan Academy of Agricultural Sciences is a new conventional japonica rice variety with fragrant and sof rice, it was examined and approved by Yunnan Provincial Variety Examination and Approval Committee in March of 2011. The variety is early-maturing, high-yield and good-quality, and has resistances to lodging, blast and bacterial leaf blight, its rice is sweet soft, goluptious and lucidus as well as not coarse when it is cold, so it is a good commodity. To further promote the popularization and cultivation of the variety, maintain its characteristics of high quality and high yield, and prevent commingling and degeneration, the purification and rejuvenation as well as breeding technology of high-quality seeds were proposed after continuous exploration and study.

B超在急诊中的应用

一般资料 1.病例选择:我院急诊科于1997年全年就诊人次8753例,其中急诊B超2031人次(23.20％),阳性者829例(40.82％)。机器型号为amB7,探头频率3.5兆赫。 2.根据年龄组分:≤20岁,男22例(2.65％),女36例(4.34％);21～40岁,男154例(18.58％),女245例(29.55％);41～60岁,男120例(14.47％),女101例(12.18％);60岁以上,男74例(8.93％),女77例(9.28％)。合计:男性患者370例(44.63％),女性患者459例(55.37％)。

Abstraction of Small Signal Equivalent Circuit Parameters of Enhancement-Mode InGaP/AlGaAs/InGaAs PHEMT

An extraction method of the component parameter values of an enhancement-mode InGaP/AIGaAs/In-GaAs PHEMT small signal equivalent circuit is presented,and these component parameter values are extracted by using the EEHEMT1 model of IC-CAP software. The extraction results are verified by ADS software,and the DC I-V curves and S parameters simulated by ADS are basically accordant with those of the test results. These results indicate that the EEHEMT1 model can be used for extracting the component parameters of an enhancement-mode PHEMT.

Small-Signal Equivalent Circuit Modeling of a Photodetector Chip

A small-signal equivalent circuit model and the ted. The equivalent lumped circuit, which takes the main extraction techniques for photodetector chips are presen- factors that limit a photodetector＇s RF performance into consideration,is first determined based on the device＇s physical structure. The photodetector＇s S parameters are then on-wafer measured, and the measured raw data are processed with further calibration. A genetic algorithm is used to fit the measured data, thereby allowing us to calculate each parameter value of the model. Experimental resuits show that the modeled parameters are well matched to the measurements in a frequency range from 130MHz to 20GHz, and the proposed method is proved feasible. This model can give an exact description of the photodetector chip＇s high frequency performance,which enables an effective circuit-level prediction for photodetector and optoelectronic integrated circuits.

APPLICATION OF IMPROVED EMD IN VIBRATION SIGNAL FEATURE EXTRACTION OF VEHICLE

In order to truly obtain the feature extraction of vibration signals under the strong background noise, the analysis and improvement of empirical mode decomposition （EMD） is carried on. After that, the improved EMD is applied to the feature extraction of vehicle vibration signals. First, the multi-autocorrelation method is adopted in each input signal,so the noise is reduced effectively. Then, EMD is used to deal with these signals,and the intrinsic mode functions （IMFs） are obtained. Finally, for obtaining the feature information of these signals, the Hilbert transformation and the spectrum analysis are performed in some IMFs. Theoretical analysis and ex- periment verify the effectiveness of the method, which are valuable reference for the same engineering problems.

Multi-phase bus signal priority strategy at isolated intersections

To satisfy the multiple priority requests from buses that arrive at different phases within a small time window, a multi-phase bus signal priority （MPBSP） strategy is developed. The proximity principle is brought forward to settle the conflicts among multiple priority requests and arrange the optimal priority sequence. To avoid over saturation of the intersection, a conditional MPBSP algorithm that adopts early green and green extension strategies is developed to give priority to the bus with the highest priority level when green time that each phase runs makes its saturation degree not larger than 0. 95. Finally, the algorithm is tested in the VISSIM environment and compared with the normal signal timing algorithm. Sensitive analysis of the number of priority phases, bus demand, and volume to capacity ratios are conducted to quantify their impacts on the benefits of the MPBSP. Results show that the MPBSP strategy can effectively reduce bus delays, and with the increase in the number of priority phases, the reduction range of bus delays also increases.

ESPRIT-Based Feature Extraction of Helicopter Acoustic Signal

Aim To extract harmonic frequencies of helicopter acoustic signal as features for hel icopter identification. Methods Estimation of signal parameters via rotational invariance techniques(ESPRIT) was selected to extract harmonic frequencies from really measured helicopter acoustic signal and an algorithm based on the SVD TLS was used. Results ESPRIT correctly extracted harmonic frequencies of helicopter using the data of limited length under the variousflight conditions. Conclusion ESPRIT is an effective method of extracting harmonic frequencies and using harmonic frequencies of helicopter acoustic signal to recognize helicopter is feasible.

Theoretical analysis of adaptive harmonic window and its application in frequency extraction of vibration signal

The goal of this paper is to find an excellent adaptive window function for extracting the weak vibration signal and high frequency vibration signal under strong noise.The relationship between windowing transform andfiltering is analyzed first in the paper.The advantage of adjustable time-frequency window of wavelet transform is introduced.Secondly the relationship between harmonic wavelet and multiple analytic band-pass filter is analyzed.The coherence of the multiple analytic band-pass filter and harmonic wavelet base function is discussed,and the characteristic that multiple analytic band-pass filter included in the harmonic wavelet transform is founded.Thirdly,by extending the harmonic wavelet transform,the concept of the adaptive harmonic window and its theoretical equation without decomposition are put forward in this paper.Then comparing with the Hanning window,the good performance of restraining side-lobe leakage possessed by adaptive harmonic window is shown,and the adaptive characteristics of window width changing and analytical center moving of the adaptive harmonic window are presented.Finally,the proposed adaptive harmonic window is applied to weak signal extraction and high frequency orbit extraction of high speed rotor under strong noise,and the satisfactory results are achieved.The application results show that the adaptive harmonic window function can be successfully applied to the actual engineering signal processing.

Investigation on the automatic parameters extraction of pulse signals based on wavelet transform

This paper analyses a key problem in the quantification of pulse diagnosis. Due to the subjectivity and fuzziness of pulse diagnosis,quantitative methods are needed. To extract the parameters of pulse signals,the prerequisite is to detect the corners of pulse signals correctly. Up to now,the pulse parameters are mostly acquired by marking the pulse corners manually,which is an obstacle to modernize pulse diagnosis. Therefore,a new automatic parameters extraction approach for pulse signals using wavelet transform is presented. The results testified that the method we proposed is feasible and effective and can detect corners of pulse signals accurately,which can be expected to facilitate the modernization of pulse diagnosis.

Applications of Wigner high-order spectra in feature extraction of acoustic emission signals

The characteristics of typical AE signals initiated by mechanical component damages are analyzed. Based on the extracting principle of acoustic emission(AE) signals from damaged components,the paper introduces Wigner high-order spectra to the field of feature extraction and fault diagnosis of AE signals. Some main performances of Wigner binary spectra,Wigner triple spectra and Wigner-Ville distribution (WVD) are discussed,including of time-frequency resolution,energy accumulation,reduction of crossing items and noise elimination. Wigner triple spectra is employed to the fault diagnosis of rolling bearings with AE techniques. The fault features reading from experimental data analysis are clear,accurate and intuitionistic. The validity and accuracy of Wigner high-order spectra methods proposed agree quite well with simulation results. Simulation and research results indicate that wigner high-order spectra is quite useful for condition monitoring and fault diagnosis in conjunction with AE technique,and has very important research and application values in feature extraction and faults diagnosis based on AE signals due to mechanical component damages.

美国航空母舰之十四——CV-14“提康德罗加”号TICONDEROGA

“提康德罗加”号航空母舰是美国“埃塞克斯”级航母的第六艘,也是美国第4艘以“提康德罗加”命名的舰只。1943年2月1日以“汉科克”的名字在纽波特纽斯造船厂开工建造,1943年5月1日改名为“提康德罗加”号,1944年2月7日建成下水,5月8日在诺福克海军基地正式服役,舰长为迪克西·基弗海军上校。

Research on weak signal extraction and noise removal for GPR data based on principal component analysis

The ground penetrating radar （GPR） detection data is a wide band signal, always disturbed by some noise, such as ambient random noise and muhiple refleetion waves. The noise affects the target identification of underground medium seriously. A method based on principal component analysis （PCA） was proposed to ex- tract the target signal and remove the uncorrelated noise. According to the correlation of signal, the authors get the eigenvalues and corresponding eigenvectors by decomposing the covariance matrix of GPR data and make linear transformation for the GPR data to get the principal components （PCs）. The lower-order PCs stand h^r the strong correlated target signals of the raw data, and the higher-order ones present the uneorrelated noise. Thus the authors can extract the target signal and filter uncorrelated noise effectively by the PCA. This method was demonstrated on real ultra-wideband through-wall radar data and simulated GPR data. Both of the results show that the PCA method can effectively extract the GPR target signal and remove the uncorrelated noise.

A HOS-based Blind Signal Extraction Method for Chaotic MIMO Systems

A novel method to extract multiple input and multiple output (MIMO) chaotic signals was proposed using the blind neural algorithm after transmitting in nonideal channel. The MIMO scheme with different chaotic signal generators was presented. In order to separate the chaotic source signals only by using the sensor signals at receivers, a blind neural extraction algorithm based on higher-order statistic (HOS) technique was used to recover the primary chaotic signals. Simulation results show that the proposed approach has good performance in separating the primary chaotic signals even under nonideal channel.

Application of wavelet packet decomposition and its energy spectrum on the coal-rock interface identification

The theory and method of wavelet packet decomposition and its energy spectrum dealing with the coal rock Interface Identification are presented in the paper. The characteristic frequency band of the coal rock signal could be identified by wavelet packet decomposition and its energy spectrum conveniently, at the same time, quantification analysis were performed. The result demonstrates that this method is more advantageous and of practical value than traditional Fourier analysis method.

Vibration-based feature extraction of determining dynamic characteristic for engine block low vibration design

In order to maintain vibration performances within the limits of the design, a vibration-based feature extraction method for dynamic characteristic using empirical mode decomposition （EMD） and wavelet analysis was proposed. The proposed method was verified experimentally and numerically by implementing the scheme on engine block. In the implementation process, the following steps were identified to be important： 1） EMD technique in order to solve the feature extraction of vibration signals; 2） Vibration measurement for the purpose of confirming the structural weak regions of engine block in experiment; 3） Finite element modeling for the purpose of determining dynamic characteristic in time region and frequency region to affirm the comparability of response character corresponding to improvement schemes; 4） Adopting a feature index oflMF for structural improvement based on EMD and wavelet analysis. The obtained results show that IMF of signal is more sensitive to response character corresponding to improvement schemes. Finally, examination of the results confirms that the proposed vibration-based feature extraction method is very robust, and focuses on the relative merits of modification and full-scale structural optimization of engine, together with the creation of new low-vibration designs.