多维超几何分布的最可能成功数

超几何分布是一种重要的离散型概率分布,本文利用反证法以及比较法求出了三维超几何分布的最可能成功次数,并在此基础上,求出了多维超几何分布的最可能成功次数.     

18世纪晚期市民阶级在德国文化中的自我塑造:《奢侈与时尚期刊》研究

本文通过研究<奢侈与时尚期刊>来分析18世纪德国市民阶级的自我塑造.它宣扬奢侈品消费加速了经济与社会的发展,也为文化进步和国家民族富裕提供了动力.它主要关注私生活里的文化与社会自身的构建,并帮助市民阶级进行自我塑造且与其他阶级进行区分.它还阐述了时尚与奢侈品消费的重要性与必要性,并驳斥了神学与道学将时尚视为虚荣及道德缺陷的偏见.它认为作为文化差异的一部分,服装特色的区分成为一种衡量人民与国家成熟与否的标尺.时尚发挥了视觉艺术的功能,甚至于也是一种行为艺术.此外,时尚还与身体复杂地联系在一起,两者缺一不可.     

Fabrication and characterization of nano silver powder prepared by spray pyrolysis

Silver powder was fabricated by spray pyrolysis, using 2%–20% AgNO₃ solution, 336–500 mL/h flux of AgNO₃ solution, 0.28–0.32 MPa flux of carrier gas and in the 620–820 °C temperature range. The effects of furnace set temperature, concentration of AgNO₃ aqueous solution, flux of AgNO₃ aqueous solution as well as carrier gas on the morphology and particle size distribution of silver powder, were investigated. The experimental results showed that with the high concentration of AgNO₃ aqueous solution, the average grain size of silver decreased with the increasing of furnace set temperature. But the gain size distribution was not homogenous, the discontinuous grain growth occurred. With the low concentration of AgNO₃ aqueous solution, the higher furnace set temperature made the nano sliver grains sintered together to grow. Nano silver powder about 100 nm was fabricated by spray pyrolysis, using 2wt% AgNO₃ solutions, 336 mL/h flux of AgNO₃ aqueous solution, 0.32 MPa flux of carrier gas at 720 °C furnace set temperature.     

A recognition method of vibration parameter image based on improved immune negative selection algorithm for rotating machinery

To overcome the limitations of traditional monitoring methods, based on vibration parameter image of rotating machinery, this paper presents an abnormality online monitoring method suitable for rotating machinery using the negative selection mechanism of biology immune system. This method uses techniques of biology clone and learning mechanism to improve the negative selection algorithm to generate detectors possessing different monitoring radius, covers the abnormality space effectively, and avoids such problems as the low efficiency of generating detectors, etc. The result of an example applying the presented monitoring method shows that this method can solve the difficulty of obtaining fault samples preferably and extract the turbine state character effectively, it also can detect abnormality by causing various fault of the turbine and obtain the degree of abnormality accurately. The exact monitoring precision of abnormality indicates that this method is feasible and has better on-line quality, accuracy and robustness.     

现代城市管理的公众参与及其制度完善的理性思考

公众参与,作为公众诉求表达、保障行政公正、合理、有效的长效性城管与公共服务辅助机制,体现了现代公共行政的民主与法制的属性,也是中国特色社会主义政府行政的应有内涵,尤其是在城市管理中引入公众参与机制更为重要,诸如动拆迁征询、环保报告编制、政府预算介入、城市顽症治理、社会组织建构等,公众参与将为城管的人本化、民本化提供重要保障。     

Effects of rosemary extracts and major constituents on lipid oxidation and soybean lipoxygenase activity

Rosemary (Rosemarinus officinalis L.) leaves were extracted with three different solvents, namely hexane, acetone and methanol. A reverse-phase high-performance liquid chromatography system in combination with a mass detector was used to quantitate the content of carnosol, carnosic acid and ursolic acid in the rosemary extracts. All rosemary extracts showed strong inhibitory effects on lipid oxidation and soybean lipoxygenase activity.     

Recent developments of cement chemistry in China: Invited review paper

In recent years, much work has been done by the cement chemists in China centering on energy saving in cement and concrete making and improving the properties of both.     

利用C_5开发叔戊基甲醚

介绍了利用C_5生产汽油抗爆剂叔戊基甲醚的工艺进程。其中KOCH公司开发的催化蒸馏工艺是目前最先进的工艺。我国当前尚未有工业化生产叔戊基甲醚的装置。利用流化催化裂化C_5生产叔戊基甲醚是急待开发的课题。     

An SVD-based adaptive robust speech steganography using MDCT coefficient

Multimedia Tools and Applications - Speech is one of the essential ways of communication. The study of speech steganography provides great value in information security. To improve imperceptibility...     

NN-based Prediction Interval for Nonlinear Processes Controller

Neural networks (NNs) are extensively used in modelling, optimization, and control of nonlinear plants. NN-based inverse type point prediction models are commonly used for nonlinear process control. However, prediction errors (root mean square error (RMSE), mean absolute percentage error (MAPE) etc.) significantly increase in the presence of disturbances and uncertainties. In contrast to point forecast, prediction interval (PI)-based forecast bears extra information such as the prediction accuracy. The PI provides tighter upper and lower bounds with considering uncertainties due to the model mismatch and time dependent or time independent noises for a given confidence level. The use of PIs in the NN controller (NNC) as additional inputs can improve the controller performance. In the present work, the PIs are utilized in control applications, in particular PIs are integrated in the NN internal model-based control framework. A PI-based model that developed using lower upper bound estimation method (LUBE) is used as an online estimator of PIs for the proposed PI-based controller (PIC). PIs along with other inputs for a traditional NN are used to train the PIC to predict the control signal. The proposed controller is tested for two case studies. These include, a chemical reactor, which is a continuous stirred tank reactor (case 1) and a numerical nonlinear plant model (case 2). Simulation results reveal that the tracking performance of the proposed controller is superior to the traditional NNC in terms of setpoint tracking and disturbance rejections. More precisely, 36% and 15% improvements can be achieved using the proposed PIC over the NNC in terms of IAE for case 1 and case 2, respectively for setpoint tracking with step changes.