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Stress amplitude reduction in standard rod caused due to energy-absorption of sample material will directly lead to absorption capability of tested sample material.
From known distance and time in center of the peak from Fig. 2 data there can be approximately calculated an average wave rate which is equal to 5470 ± 140 m/s.

This paper presents the development of an Evolutionary Programming (EP) – Taguchi Method (TM) – Artificial Neural Network (ANN) based technique for the classification of incipient faults in power transformer using Dissolved Gas Analysis (DGA) method based on historical industrial data.
The development of the proposed model starts with data collection and pre-processing.
The data utilized in this study (i.e. liberated gases in the transformer oil) are obtained from the TNBR Sdn.
Historical industrial data from utility Data processing, training stage, testing stage and choose the best ANN model Find optimal combination of the ANN parameters: number of neurons in hidden layer 1 and hidden layer 2 (HL 1) and (HL 2), LR and MC Further optimize LR and MC Data collection and pre-processing Development of the ANN model (ANN-based model) Optimization of the developed ANN model using TM (TM-ANN-based) Optimization of the TM-ANN-based model using EP (EP-TM-ANN-based) Figure 1: General Flowchart Depending on the types of characteristic either continuous or discrete, several types of SNR are available: nominal-the-best, smaller-the-best and larger-the-best.
Application of TM is normally involve another statistical technique namely analysis of variance (ANOVA) in order to determine similarity and difference degree between two or more groups of data based on average values of the common component [8].

Corporate earnings may reflect the lower costs, as a business enabler of operations, IT has already permeated every aspect of  the value chain, and it can change the cost of business in each link of value chain, such as lower labor costs and inventory costs, with the reduction of error rates and operational cycle time etc., operational performance can promote synergy between  the business sector, get more accurate and real-time access to information, and reduce information asymmetry phenomenon,  reducing coordination costs and transaction costs and shorten the time of processes  to improve financial performance, therefore, this study proposes and tests the following hypothesis: H2: Operational performance has a positive and significant impact on financial performance.
Hypothesis Test SPSS 14.0 edition is used to analyse sample datas in this paper, reliability analysis of sample data indicates that the measured variable Cronbach's α value is bigger than 0.8, and it’s acceptable.
Operational performance has a significantly positive impact on financial performance, the test results validate that reduction of cost based on operational performance facilitates access to financial performance.

Data of axial load was collected by automated data collection instrument through load sensor acquisition; the distance for longitudinal strain measuring was 300mm as long as the specimen length.
Thick steel plate was stamped on the top of the specimen; electronic displacement meter was fixed on the lower plate of the testing machine; deformation of the whole length of specimen was measured by the displacement meter fixed between steel plate and the lower plate of the testing machine and the datum were collected through automated data collection instrument.
Domestic and foreign existing research data [26] shows that the T/C ratio of plain concrete ranges in 0.058~0.125, and the higher the strength is, the smaller the T/C ratio and the greater the brittleness are.
According to results of this test and the test datum of literature [27], there is a good linear relationship between axial compressive strength and standard cube compressive strength of plastic concrete as shown in Fig. 4.
Reduction in the permeability of plastic concrete for cut-off walls through utilization of silica fume, Construction and Building Materials (2007), doi: 10.1016/j.conbuildmat. 2007.01.024

A literature review which summarize the methods of data acquisition, signal processing, feature extraction and data fusion techniques has been presented in Ref.[10].
The system of sensors applied to the structure gives a set of raw data which have to be processed to identification and localization of potential damage.
First technique based on fact that flaw causes a reduction of stiffness.
The excitation signal was generated by one actuator and the data from the sensors placed after defected zone was compared with the results from an intact structure.
One actuator placed in the corner of this area generates the excitation signal and the one sensor placed in the diagonal corner collect the data.

Also, the data obtained can be used to expect a more developed microporous structure of the composites after the two-step synthesis, which should improve its adsorption properties.
It approximates the experimental data with a straight line in the range of relative pressures P/P0=0.05÷0.3.
The calculation data are given in Table 1.
The obtained distributions confirm the data from Table 1.
Based on these data, the coercive force Hc and the specific saturation magnetisation σs were calculated.

Liu et al. [1] studied simplified AHU model calibration using whole building cooling and heating energy consumption data.
The cost effective by mathematical model is not compare to training system as it needs more data and measurement parameters.
These models are easy to build and use, however, large amount of measuring data under different operation conditions are required to achieve high modeling accuracy.
Furthermore, these methods need adequate and reliable sensors for data acquisition and hence, may not be cost-effective.
Yuan, “Data mining based sensor fault diagnosis and validation for building air conditioning system”, Energy Conversion and Management, 2006 vol.47, pp.2479-2490

Section 3 of the article comparatively presents different VR haptic devices used for VR surgical simulators and their technical data.
This is an essential skill that requires reduction of the bone fragments and fixation with the use of different osteosynthesis devices.
Patient specific imaging data are used for constructing the virtual environment.
The simulation environment is based on a voxel model created from CT (computer tomography) data, while the virtual tools were modeled using reverse engineering (RE) techniques.
Technical data for these haptic devices are presented in table 1.

Data is retrieved from the permanent monitoring equipment by driving to their vicinity with a hand held control unit.
In a permanent installation, the retrieved data is loaded into a spreadsheet, and leaks in the system are highlighted for the user.
Remote monitoring units and their associated reader for retrieving data.
The survey strategy was to obtain leak survey data in high traffic areas on weekends, holidays or at unusual hours.
Simply driving near the permanent monitoring equipment retrieves the data recorded inside them - a hand held control unit receives the data via a radio link with no operator intervention.

This reduction is attributed to the saturation of reactive sites on the cell wall.
The equilibrium data on Cr(III) sorption at pH 2.5 was also applied on Freundlich isotherm (Fig. 6).
Fig. 5: Langmuir Isotherm for 500 mg L-1 Cr (III) biosorption on alkali treated A. niger In this case, the sorption data showed good fit (R2 value close to unity) to the isotherm (Table 1) with a break in the straight line thus giving two straight lines instead of one.
Fig. 8: Second order kinetics of alkali treated biomass for the sorption of Cr (III) The data on the kinetics of first order reaction (Fig. 7) showed two distinct stages of biosorption.
Figure 8 shows poor fit of data to second order kinetic model.