Theoretical Analysis of Critical period in Microbend Fiberoptic Sensor

1IntrodctionThesdV8fltsg6Sofffi1CY0bCfldf山CY0ptlCS6fiS0f8f6lflt6llSltyffiDdU18tlflgsliddCtCCtlflg，simpletechnique，highrellabllltyandlowprice，thereformlcrobendfiberoptlcsensorIswidelyusedtomeasurementofstrain，stressandv比rationetc．Inpractice，thesensltlvltyofsensorIsaveryimportantparameter，andthesensltlvltyofmlcrobendf山eroptlcsensorIsmainlyrelat-6dtofoil0WlflgthY66f8CtofS［‘-：ffilCfob6fldsffiplltlld6：fillffib6yofthlCY0b6fldS6Ct10llSsfldffil-crobendperiod，andmlcrobendperio…     

工序能力评价与经济分析

通过对工序能力的分析与评价 ,工序能力并非越高越好 ,提高工序能力有时意味着增加成本 ,故应作经济分析 ,本文介绍了一种经济分析的方法。     

提高丙烯和混合碳四产品收率的对策与措施

中国石油化工股份有限公司茂名分公司化工事业部乙烯装置随着运行周期的延长，高低压脱丙烷塔和脱丁烷塔结垢严重，分离效果变差，造成丙烯和混合碳四产品的收率降低。通过分析丙烯和混合碳四产品损失大、收率低的原因，提出对策并采取相应措施，从而有效地提高了丙烯和混合碳四产品的收率。     

The C-loss function for pattern classification

This paper presents a new loss function for neural network classification, inspired by the recently proposed similarity measure called Correntropy. We show that this function essentially behaves like the conventional square loss for samples that are well within the decision boundary and have small errors, and L₀ or counting norm for samples that are outliers or are difficult to classify. Depending on the value of the kernel size parameter, the proposed loss function moves smoothly from convex to non-convex and becomes a close approximation to the misclassification loss (ideal 0–1 loss). We show that the discriminant function obtained by optimizing the proposed loss function in the neighborhood of the ideal 0–1 loss function to train a neural network is immune to overfitting, more robust to outliers, and has consistent and better generalization performance as compared to other commonly used loss functions, even after prolonged training. The results also show that it is a close competitor to the SVM. Since the proposed method is compatible with simple gradient based online learning, it is a practical way of improving the performance of neural network classifiers.     

防止氟化铝母液脱硅工艺中铝、氟消耗方法研究

在氟化铝母液中添加氯化铝等可溶性铝盐,可有效地阻止钠,氟,铝间冰晶石固体物质的形成,从而达到防止氟化铝脱硅工艺中铝,氟的损耗,确保氟硅酸钠的产品质量,同时提高母液利用的经济效益。     

劳务派遣员工流失对策探析——以井下测试公司为例

由于多种原因,井下测试公司招来的劳务派遣员工流失情况比较严重,已经成为公司持续健康发展的一大隐忧。结合我国劳务市场发展的新形势和经济结构转型升级的背景,基于公司劳务派遣员工流失实际情况的分析,本文试从劳务派遣员工群体的就业心态、利益诉求、从业预期和就业内外部环境等方面进行原因探究,并从用工环境改观、分配体制改革、激励机制改善、招工来源改变等方面提出了针对性的解决措施。     

中频用极薄热轧硅钢片的研制

选用合适成分，采用两次折叠、16层叠轧的方法开发出性能优异的0．25mm厚的中频（400、1000Hz）用权薄热轧硅钢片，已用于生产，并取得良好成绩。     

A Bayesian approach to estimate the marginal loss distributions in operational risk management

One of the main problems in operational risk management is the lack of loss data, which affects the parameter estimates of the marginal distributions of the losses. The principal reason is that financial institutions only started to collect operational loss data a few years ago, due to the relatively recent definition of this type of risk. Considering this drawback, the employment of Bayesian methods and simulation tools could be a natural solution to the problem. The use of Bayesian methods allows us to integrate the scarce and, sometimes, inaccurate quantitative data collected by the bank with prior information provided by experts. An original proposal is a Bayesian approach for modelling operational risk and for calculating the capital required to cover the estimated risks. Besides this methodological innovation a computational scheme, based on Markov chain Monte Carlo simulations, is required. In particular, the application of the MCMC method to estimate the parameters of the marginals shows advantages in terms of a reduction of capital charge according to different choices of the marginal loss distributions.     

VANET无线链路质量的测量与分析

目前对移动自组织网络的研究很少涉及现实环境里的测量问题。该文对不同环境下无线链路丢包率、信号强度等参数进行了测量和分析。结果表明,环境对链路质量有较大影响,在郊区环境下,丢包率较低,链路质量较好,信号强度反应链路质量的能力有限,连续丢包概率的变化与丢包率平均值的变化基本一致。分析结果对预测无线链路质量和设计VANET网络协议具有重要意义。