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With advances in numerical modelling, it is often expected that finite element models based on technical design data and best engineering judgment can reliably simulate both the static and dynamic behavior of the bridge [1].
In the last 10-15 years, a number of authors have started to pay more attention to provide complete data acquisition parameters in their work [4,5].
In the text, vibration pickup 941b and 891-II were used to collect the bridge vibration acceleration data.
The results of longitudinal data at 9 point.
(16 channel) The Fig. 4 is the time domain chart and frequency domain chart of longitudinal measured data (16 channel) at 9 point after filtering.

Flatness and Shrinkage Measurement In order to study the flatness and shrinkage, CMM was employed to measure the dimensions and record the data of the specimens after the post processing.
Accuracy of the measurement data is very importance; therefore Coordinate Measuring Machine (CMM) has been used to measure the size of the experimental specimens (9).
From this particular data, the effects of the post processing temperature are existed but there is no proper trend to indicate the differentiation between each specimen.
The trend of the data seems had a similarity with the previous features.
Therefore, from the data gathered, it can be summarize as:- - There is significance affects on the test specimen by the thermal used during post processing process.

Table 1 Location and speed distribution of sampling Location Seat in Passengers’ Car Seat in Dinning Car Joint between Cars (Sitting Height) Speed （km/h） 100 145 154 193 100 145 154 193 100 145 154 193 Piece 1 1 2 1 1 2 1 1 1 1 1 2 2.2 Sample Screening and disposal In order to conduct a comprehensive study of interior noise sound quality, human subjective perception should be taken into consideration after objective analysis on psychoacoustic properties of collected sound data.
Therefore, processing on the data should be conducted.
In accordance with Nordtest [7] and with a combination of the data quality, 18 sound samples are filtered among the collected data, each sample 5 seconds with their information.
The Calculation Results of roughness and tonality 4 Conclusions In this paper, sound samples are prepared after data collection of high-speed train, and the calculation method for loudness is determined.
Train noise reduction scenarios for compliance with future noise legislation.

Table.1 The parameters of experiments No Size of the damper Dxh/mm Number-Size of the permanent magnet /mm Viscosity of magnetic fluid/cp Length of cantilever beam/m Injection volume of magnetic liquid /g Amplitude /mm Size of the nylon gasket 2xRxh / angle 1 2 3 4 f60´30 f60´30 f60´30 f60´30 2-f40´10 2-f40´10 2-f40´10 2-f40´10 232 232 232 232 1.4 1.4 1.4 1.4 27 27 27 27 15 15 15 15 Zero 59.5x9.5 / 5° 59.5x9.5 /10° 59.5x9.5/15° Fig.2 The third experimental sensor waveform diagram: No-load curve—the acceleration curve with the counterweights of the quality being equal to the No.3 damper; Damping curve—the acceleration curve with the No.3 damper Table.2 Different damper experimental data NO Angle of the gasket The first time The second time The third time Average time Counterweights experimental time Reduction time 1 Zero 3min50 4min 3min53 3min54 8min30 54% 2 5° 4min 4min10 3min50 4min 8min30 53% 3 10° 2min50 2min40 2min57 2min49 8min30 68% 4 15° 3min40
Therefore, we use a stopwatch to record the time accompanying the data collected until the experimental station is from swing to stopping completely.
The experimental data are summarized as shown in Table 2.
Fig.5 Model 1 based on the viscous fluid dynamics Fig.6 Model 2 based on the viscous fluid dynamics Table.3 The experimental data without cover NO Angle of the gasket The first experimental time The second experimental time The third experimental time Average time 1 Zero 3min 2min52 2min57 2min56 2 5° 2min50 2min47 2min50 2min49 3 10° 2min20 2min22 2min17 2min20 4 15° 2min50 2min57 2min50 2min52 However, we could not explain the damping effect by using the 15°gasket and the 5°gasket applying above hypothesis.
The experimental data are shown in Table 3.

A computer based data acquisition system (DAQs) [16] is aslo necessary for measuring the temperature, current and voltage.
As an extention from the existing documents, these data can be used as feedbacks of a closed-cycle control system.
Optimization and improvement A strict and systematic data-processing and analysis is necessary to compare the effects on computer with the actual test results.
Furthermore, more theoretical methods studied should be transformed to practical applications to get support from experiment data.
(3) Closed-cycle control of heating/cooling power with updating data tested by DAQs will help evenly distributing the thermal field without wasting power from battery.

The author apply the grey model of midpoint trigonometrical whitenization weight function to assess the unemployment with its unemployment rates in 2010 (all original data comes from China Statistical Yearbook 2010) and category the unemployment into 3 regions.
According to the Chinese unemployment rates data, the author chose center point trigonometrical whitenization weight function of the grey evaluation model to make it a reasonable classification.
Once encountering the economic downturn, the unemployment phenomenon will easily occur, leading to the reduction of market demand for labor.
We defined the Whitening weight function of Corresponding indicators based on the data from China Statistical Yearbook 2010, and build the Grey Clustering Model of the unemployment.
As the result of the evaluation, it combined all the impacts from each of the sample data, much more close to the original properties of the subject being evaluated.

A great number of the crack problem solutions are based on the local stiffness reduction [7].
Neural networks In the recent years, the NNs have become a powerful tool in the field of forecast due to their special ability to simulate complicated systems (e.g. inverse prediction problems with non-linearity) and find relationship between the input and output data independently of the governing equations.
In order to identify the crack, a database of sample data consisting of six natural frequencies, crack feature indexes and the corresponding crack status (depth and location) was obtained.
Ninety per cent of data was used for NN training and ten per cent was used as a test data to validate the NN; the test data was not previously shown to the NN.

Factors influencing the productivity in industrial maintenance Some of the proposed activities to analyze and improve the labor productivity in the present research are the following: · Productivity measurement, made with the data collection and its post-processing and statistical analysis
Preparation of data collection.
The frequency of observations depends on the number of observations required and the time available to develop the data.
In this way it can be see that an analyst is needed to collect data from an activity composed of no more than 15 employees and in a period of a month and a half working 8 hours a day and at intervals of 30 minutes per observation.
Another of the difficulties of the methodology has been the recollection of the data due to the crews work for other companies so that is required to do the necessary adjustments based on the safety specifications of those companies.

The average offshore wind speed is 5.3 m/s [3] and the average onshore wind speed according to the data in 2011 obtained from Weather Forecast Department in Palu is about 3.6 m/s.
Methodology Wind speed data per hour for single year in 2011 obtained from Weather Forecast Department is sorted.
The percentage solar availability per day data obtained from Weather Forecast Department in Palu for single year in 2011 has been sorted to obtain the average value.
The next step will be calculation of fuel which can be saved and reduction of CO2 .
Energy Data Indonesia, Jakarta : s.n., 2007. www.all- energy.co.uk/UserFiles/File/2007Indonesia.pdf

Theoretical results from the previous report will be combined with recent experimental data analysis to explore and enhance the fundamental understanding of this ZnO:Cu system.
To verify our measurement, Y and D data SE measurement are taken at several spot on the samples with multiple incident angles (55ᴼ, 70ᴼ, and 80ᴼ).
This phenomenon is consistent with PL spectra analysis and confirms the band gap reduction with increasing Cu dopant.
In Fig 3(b), our area of interest has been selected and then we connect and compare with our recent experimental data of extinction coefficient k.
It is interesting to note that PL spectra, UV absorption spectra and SE data in the good agreement with this theoretical prediction.