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The commonly used 1/3 octave was selected for the data of measurement.
The sound reduction index is related to the structure, the property and the frequency of incident waves.
Fig.2 shows the curves of sound reduction index-Frequency of the composite materials.
Above 400 Hz the laminated order has a great impact on the sound reduction indexes as shown in Fig.4.
The difference among the sound reduction index of different samples can be up to 5 dB at 500 Hz, 11 dB at 800 Hz and 13 dB at 4000 Hz.

Data are tabulated and evaluated based on different parameters incorporated; meanwhile comparisons are made between concrete and composite footbridges.
Results and Discussion The data of displacements and accelerations were collected at several critical points.
There is a significant reduction of responses between 100mm slab and 150mm slab.
Accelerations have exactly same trend as displacement (data not shown).
Any further increase in deck thickness after 250mm doesn't show any significant reduction in responses.

The system which can analyze slope stability based on data mining including fuzzy clustering analysis, regression analysis, extension evaluation etc has provided with more powerful slope stability functions and is easy to be integrated.
At present conditions a feasible solution is to assume some possible sliding surfaces(enumeration method) ,calculate the coefficient of slope safety Fs respectively and take the minimum value as the basis of slope stability analysis. 3.2 Establishing a database and an analyzing model To import data measured from the field to a certain database, for instance, Windows Access，SQL，Oracle, is preparing work for the system to use the data easily.
It is preferable to develop a software with graphical user interface(GUI) and achieve the function of inquiring and editing data conveniently via programming.
The key component is to secondarily develop a calculating tool to match spatial data in GIS with data required in model calculating and to reveal the results.
The slope stability system which was developed based on GIS can analyze slope stability based on data mining including fuzzy clustering analysis, regression analysis, extension evaluation.

However, data on the use of rare earth elements, especially in Al-Mg2Si in-situ composite, are still rather limited.
The temperature-time data were recorded using a high-speed data acquisition system (EPAD-TH8-K) linked to a computer with DEWESoft 7.05 at a dynamic rate of 100 Hz/ch, as shown in Fig. 1.
FlexPro9.0.31 data analysis software was used for smoothing the curves and plotting the cooling curve and first derivative curve for extracting the characteristic data.
In order to analyse the cooling behaviour of the in-situ composite, each curve is projected into first and second derivative curves in order to extract the characteristic data clearly, including nucleation temperature TN, minimum temperature Tmin, and growth temperature TG.
Further understanding of data obtained from the cooling curves has been discussed in previous studies [15, 16].

Sikora 3,c 1,3 ThyssenKrupp Steel, Dortmund, Germany 2 ThyssenKrupp Steel, Duisburg, Germany a harald.hofmann@thyssenkrupp.com, bthomas.heller@thyssenkrupp.com, csascha.sikora@thyssenkrupp.com Keywords: New steels, hot forming, semi hot forming, superplastic forming, product development process, pre-development, technology monitoring, simultaneous engineering, material data base Abstract.
On the other hand, the trend towards fuel economy and exhaust emission reduction has brought forth the requirement to construct lighter weight auto bodies.
All data are available for the customers in the TKS material data base.
Fig. 12: The research network of the center of materials excellence of TKS Summary Intensive R&D work of the steel industry aims at the development of multi-phase steels and high manganese steels for strength-relevant structural components and auto body parts with significant weight reduction.
Product information at every stage of the development process is made available for the automotive manufactures by the TKS material data base.

However, Based on the limited available experimental data and the generally good fatigue resistance of in-service timber girder bridges, current procedures do not require that the fatigue strength of timber bridge girders be considered in design (William G.
Each level of loading lasted about 3 min and the space time was about 5 min which applied enough time to stabilize the fluctuation of record data which was mostly caused by stress redistribution subject to finger joint cracking.
Although just one position being stimulated could get the requisite data, in order to minify test error, seven points equally divided along the specimens were selected to be hammered depending on the condition of equipments.
The equipment includes elastomeric cumulative hammer, ICP acceleration transducer, LMS data record system, LMS modal analysis software as shown in Figure 8.
Firstly, the charge voltage signals were stimulated by elastomeric cumulative hammer beating the beam; then amplifiers transmit the collected signal and amplified those to record system, while the other one electric line linked ICP acceleration transducer at the selected points; finally, dynamic signals of thirteen transducers and hammer were transferred into identifiable signals through LMS data record system, and modal analysis software change the data into visible diagrams.

The prototype diesel engine with HTT and EGR is modeled in the GT-SUITE and validated through engine test data in section 2.
Model Validation He engine simulation model is validated against the experimental data at engine half load and full load operating condition, and the results are shown in Fig. .
The established engine model could predict the engine performance data accurately, at full load and half load engine operating conditions both.
The results show that the behavior of the diesel engine model was very close to the experimental data under steady state conditions.
A GT-SUITE based diesel engine model was established and validated by experimental data.

The active sites off ORR can be identified by comparing the adsorption in this model with the origin data.
Using the DFT method, the structures are optimized to get the data.
Based on the equation above, the more negative data is, the stronger attractive interaction is.
When the electrode potential U=0, the free energies of the first three steps on Fe@Co3O4-NG are 11.84, -3.49 and 11.40, comparing to those on pure Co3O4-NG catalyst of -0.51, 0.34 and 0.76.Those data are far from the standard data of 1.23, 2.46 and 3.69.
Because the limitation of the configuration of the host, more accurate simulation data are not available.

The primary goal of quantization for hardware implementation is to find a fixed-point model that has all bits-widths as small as possible under the condition of an acceptable degradation of the coding performance[2].In hardware implementation, the reduction of data-path bit-widths ,control complexity and memory size lead to reduction of area and power consumption and an increase of speed.
The input data quantization as well as the inner data quantization have major influence on the control complexity and directly determine the bit-widths of data-path and memory size.
Influence of the input data quantization Fig. 6.
The optimization of memory size is focus on the storage of input data and the inner data.
We can know that the judgmental data has two kinds of sources, which are the input data and the received data sended by the check nodes(inner data can reuse the storage area).

Especially for critical nodes, which have more strict need of real-time for monitoring data [2].
As it is difficult to acquire the actual WAMS data, this paper takes dynamic simulation results instead of the data acquired from the WAMS as the source of sample data.
This paper studies the feature extraction method for response data and the application of feature extraction results.
Data Mining of Electrical Power System Dynamic Response [D].
Ythurusamy, “Data Mining and Knowledge Discovery in Databases,” Comm.ACM, vol.39, no.11, pp.24-27, Nov. 1996