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Preheating of the work material to a higher temperature range resulted in a noticeable reduction in tool wear rate leading to a longer tool life.
Another important observation is the reduction in strain-hardenability and flow stress of material with increase in preheating temperature.
HPDL was found to inhibit saw tooth chip formation, suppress chatter, deter catastrophic tool fracture and bring about substantial reduction in tool wear and cutting forces leaving minimal effect on the integrity of the machined surface.
Data on tool life and surface roughness values of the machined surface are also included.
With these data a simple linear regression has been performed to correlate the tool life (TL, min) as a function of work-piece preheating temperature (θ °C).

Methodology and data obtained Study cases.
Graphics of annual demand of the six study cases [kWh.week-1] Historical water demand data existed for some but not all cases.
The fuel consumption data were not sufficiently allocated to regular periods.
Table 2 presents some geographical and wind and solar data.
These systems have one or at most two pumps, allowing the creation of annual consumer profiles with hourly data.

The results, which were qualitatively and quantitatively analyzed, show that the ballast track has reduction effect of micro-pressure wave in long tunnel.
As to propagation of the compression wave through the tunnel, the relevant researches have mostly carried out in view of experimental data and actual measurement data documents in the documents concerned [6-7].
Calculation data are as follows: cross-sectional area of the tunnel S equal to 63.4m2，cross-sectional area ratio of train to tunnel R equal to 0.216.

By using the method of Analytic Hierarchy Process and Cluster Analysis, we determine the weight of each index, and then calculate each index data using fuzzy mathematic principle.
According to 2011 macro-data from the National Bureau of Statistics, the annual GDP is ¥47.1564 trillion, in which, construction output is as high as ¥11.7734 trillion [1], contributes about 25% to the total.
For relevant authorities, the credit evaluation results provide a variety of basic data for macroeconomic management. 3.2 Principles Construction enterprises are different from the general industrial or commercial companies, as a special basic industry, it has many unique features, therefore, its credit rating cannot simply apply the general index system or method, but requires a combination with its own characteristics, and develop a truly suitable evaluation system for China.
Then, use Analytic Hierarchy Progress (AHP) for matrix reduction, we will get the weight of 5 primary indexes and totally 30 operating indexes which passed the consistency test.
When design the corporate interviews and questionnaires, we shall consider 1 to 5 levels for each index, then use weight average method to deal with the survey results, that goes, Where, represents the number of copies of the survey; represents the weight of data from the th survey; represents the value of the th survey data of th operating index; represents the final value of the th operating index. 3.4.3 Analysis of the credit evaluation After getting the weight and value of each index, we can analyze the credit condition of construction enterprise, use CEISCE, which is short for Credit Evaluation Index System of Construction Enterprises, to asses.

With the reduction in specimen size, the shape of the compressed specimen changes from circular to irregular.
Other investigations employing steels and aluminum alloys have revealed similar experimental data of increasing surface roughness with an increase in the degree of deformation and grain size.
Basically, water is commonly used which ensures the flow of energy to the workpiece and helps in the reduction of noise caused via explosion.
During high-frequency vibration, softening of material is achieved with a greater reduction ratio as compared to low-frequency vibration [87].
The new technologies that make a way out in micro-fabrication are 3D printing, micro powder injection moulding, and micro forming which are employed in airbags components, data storage, automobiles system, dental implants, micro-needles, micro heat exchangers, etc.

azhaoxq33@Gmail.com, bwangxm@snnu.edu.cn, cliuqiang@163.com Keywords: high-performance filter; noise reduction; image filter; detail protection; local features Abstract.
Chebyshev’s theorem the probability that any random variable X will assume a value within k standard deviations of the mean is at least 1-1/ k2, P(μ-kσdata is D=[μ-kσ, μ+kσ], the μ is the mean of the observed data, and σ is the standard deviations [5].
Data outlier detection using the Chebyshev theorem.

Using Poisson regression model to examine student travel frequency patterns in Beijing Guangjun Zhan1, a 1 School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China, 100044 azhanguangjun529@126.com Keywords: university students; travel frequency; Poisson regression model Abstract This paper applies Poisson regression model to examine university students’ travel frequencies and relevant influence factors, using the data collected from four universities in Beijing by a web-based online travel survey.
Method and data The data used in this study were collected by an online travel survey from May 2012 to June 2012.
After error-checking, cleaning and clearing the data, there are 745 valid respondents from four universities (including Beijing Jiaotong University (BJTU), Beihang University (BUAA), Tsinghua University (THU), Minzu University of China (MUC)) that can be used to analyze the student travel frequency In this study, the Poisson regression model was constructed to examine the relationship between student travel frequency and explanatory variables.
In statistics, Poisson regression is a form of regression analysis used to model count data.
Larger campus generally has a better community function, which means students can enjoy the services on campus, resulting in reduction of students’ travel frequencies.

Through comparing the data of experiments, initial stresses’ influence on stress peak of 2 times compressive specimens is analyzed and the calculating formula of peak stress is proposed considering the pre-compression ratio, aiming at providing experimental dependences for strengthening design.
At present, available research datum are that of CFRP confined un-pre-compressive concrete performance [2-5].
The test data collection records are seen in Fig. 2.
According to the test data, drawing the single CFRP constraint concrete prism body peak stress regression curve, and the correlation coefficient is 0.942, the variance of 1.605.
-reduction coefficient relevant with the cross-section shape： (3) where：-the length of rectangular section; -corner circle radius.

Comparison of the model predictions with the measured data for Young's modulus is presented.
Nanopowder of aluminium oxide allowed for a reduction of porosity to less than 2%.
For comparison, the experimental data for Young’s modulus was taken from Table 2 for the case of the micro size powder of Al2O3.
In this case a good agreement with the experimental data is obtained.
Young’s modulus furnished by the present model as compared with the experimental data and Reuss and Voigt approximations Table 4.

The central idea of PCA is to reduce the dimensionality of a data set consisting of a large number of interrelated variables, while retaining as much as possible of the variation present in the data set.
(3) Ceramic Company Financial Performance’s Principal Component Analysis Raw data.
For the empirical analysis, we get 20 ceramic enterprises sample data and a total of 240 financial indicators in 2009.
All the sample data are got through survey.
This suggests that the data are suitable for principal component analysis