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Despite the same test data, there are many obvious differences, compared the test date with each other.
The experimental data conform to changes of mechanical properties under high temperature.
Test results of high temperature mechanical properties of steel strand Taking the limitations of test data into account, this paper processes and analyses test data on average, finding that the relation between the yield strength and elastic modulus reduction of pre-stressed cables and varied temperature.
The equation can be written as: Yield strength reduction factor: fT= -2.01×10-6T2 -4.05×10-4 T+1.0354 (1) Elastic modulus reduction factor: ET =-1.99×10-6T2-0.82×10-5T+0.9967 (2) The result of equations (1), (2) with the data is shown in Fig.2, the regression equation and processing of experimental data are better to fit.
Experimental data regression analysis Temperature of steel members The steel components heat up because of thermal radiation and convection of the air, which causes a reduction in strength and elastic modulus of steel members, the temperature rising determined is a precondition for quantitative analysis of bearing capacity and security evaluations.

Analysis of Field Test Results By integration analysis of monitoring data of typical section, curves of horizontal and vertical displacement with time were drawn, shown in Fig.1.
By integration analysis of monitoring data of typical inclinometer hole, deep displacement curves with depth were drawn, shown in Fig.2.
When strength reduction factor is smaller, lateral deformation has less increment; and when strength reduction factor is larger, lateral deformation has larger increment.
Lateral deformation increases with increasing reduction factor.
When strength reduction factor is smaller, lateral deformation has less increment; and when strength reduction factor is larger, lateral deformation has larger increment

To overcome this problem, in this paper, a novel feature selection method is proposed to reduce data dimension of network traffic.
Based on three multi-class classification methods, performance comparison is conducted by actual traffic data with 10-fold cross-validation.
The principle of PCA is to convert the original data into a new coordinate system through linear transforming [11].
Experiment data is selected randomly from the Moore set used in [3]; there are totally 10280 samples be selected and each sample includes 248 features.
The experiment data is divided into 10 equal parts; we choose one part in turn as testing set and the rest 9 parts as training set, and conduct classification.

Wojska Polskiego 28 60-637 Poznan *corresponding author e-mail: jdach@up.poznan.pl Keywords: Biogas, Polish market, Data acquisition, Internet, Modelling.
The paper presents the internet tool for decision support and data acquisition for Polish biogas market.
The aim of this study is to check the potential of data collecting from Polish biogas market with usage of BWP as a free internet tool.
It is important that users are aware of that background process of gathering the data for scientific purposes.
From the data we were able to define what are the key regions interested in the Biogas industry (Fig. 2.).

The analysis of their experimental data led to the conclusion that the growth of cavities was controlled primarily by plastic deformation, although diffusion may play a role in the early stages of growth [14].
Reduction in Height Percentage Fig. 4.
Reduction in Bore Diametere Percentage vs.
Reduction in Height Percentage Regarding the effect of reduction in height on the cavity closure, it can be seen from Fig. 6 that the reduction in bore volume percentage increases as the reduction in height percentage increases.
Reduction in Bore Volume Percentage vs.

And it has been used of solving the redundancy of attribute and data.
Decision tree has been widely used in data mining techniques, because it is efficient, fast and easy to be understood in terms of data classification.
It is a discrete-valued function approximation method of noise data with good robustness and can learn disjunctive expression.
Decision tree is easy to understand and implement, it is also possible to directly reflect the characteristics of its data.
Definition4 Information gain [9] is a measure of the standard with respect to the ability to attribute classification training data.

Results obtained from this model are compared with experimental data and FEM results and good agreement is observed between them.
Results obtained from this model are compared with experimental data and FEM results of reference [6] and good agreement is observed between them.
Experimental data and FEM results are obtained from reference [6].
Fig.1 Deformed mesh and contours of effective strain at 28% and 57% reduction in height.
Results obtained from this model for disk upsetting, are compared with experimental data and FEM results and a good agreement is seen between them.

From the test data, fracture properties in particular the equivalent fracture strain (εqf) can be determined.
No irradiation embrittlement data exist for Zr-4 at the RRR operating conditions.
The data were fitted by a straight line with an R squared value of 0.9791.
Load and deflection data at crack initiation were obtained successfully, via two CCD cameras in situ during testing.
This enabled εqf values to be calculated from the SP test data.

The reduction in heat gain of east, south and west walls is obvious, so is the cooling effect.
The experiment is carried out in Hangzhou in summer, and conducted by monitoring the indoor and exterior wall temperature of buildings with and without reflective coatings comparatively and analyzing the acquired temperature data.
All the temperatures are measured and recorded every five minutes automatically by Agilent data acquisition system.
For the convenience of comparison, only representative temperature data for 1-day period from 6 pm August 20th to 6pm August 21st is analyzed in this paper, which is collected from building envelope.
Assuming that the heat gain of northern wall, roof and floor is neglected, it’s easy to conclude that the heat gain of east, south and west wall is consumed by the air conditioning system so that the heat gain reduction by means of the reflective coatings can be calculated by the electricity consumption reduction of air conditioning system.

Relationship between Correlation Distance and Sample Spacing In order to analyze the effect of sampling space of data on the calculation correlation distance, the data is collected of 10 static cone penetration holes from some a construction field of high-rise building in Taiyuan in China.
The relationship is described in figure 2 between correlation distance and different sampling space of data.
At present the sampling space of exploration data is generally between 1m and 2m and sometime is even larger, which makes us not to find the real correlation distance because of littler data and larger sampling space.
So we can obtain reliable calculated result of correlation distance when sampling space of data is equal to correlation distance on the whole.
According to exploration datum, the vertical and horizontal correlation distances of typical stratum are analyzed in statistics based on a large amount of investigation data and the representative values of correlation distance of local area are obtained, which can be seen in Table 2 and Table 3.