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The analyzed OFE copper has been industrially engineered, being successively hot rolled and cold rolled to ∆=70 % and ∆=90 % reduction.
The software OIMTM analysis from the TSL Company has been used for the qualitative study of the EBSD data.
Intergranular nucleation and growth have been observed in the beginning of the recrystallization process for both reduction levels (70 and 90 %).
a),b) 70 % reduction. c),d) 90 % reduction.
For this reduction level, the second mechanism observed corresponds to the nucleation and growth of strongly recovered cube subgrains.

The wind angle and the size of the wind velocity were determined using data from weather stations near soundproof tunnels.
Five years (2005–2009) worth of weather data were analyzed for the areas with planned construction of a soundproof tunnel.
The maximum wind direction and average wind velocity is wind data of the recent five years at the nearby weather stations.
Fig. 1 shows the 5-year weather data from the weather stations.
Gillespie, Optical porosity and wind speed reduction by coniferous windbreaks in southern Ontario.

The peak potential for both reduction and oxidation reactions using phosphate buffer saline as the analyte under different pH of 3, 5, 7, and 9 was also obtained.
Eo = oxidation potential, Er = reduction potential) and peak currents (i.e.
Io = peak current for oxidation, Ir = peak current for reduction) for the redox electrochemical reaction at different PBS pH.
The redox process is reversible for pH5, 7, and 9 from the data and cyclic graphs obtained, while a deviation from these values indicates a non-reversible electrochemical reaction.
The peak current for both the oxidation and reduction process produce ratio that is close to unity indicating a stable state of equilibrium during the potential scan.

In order to have enough data for evaluation, three replication of experiment is applied.
An analysis of variance in MINITAB is employed to analyze the data.
Thus, the quality of the data is good and adequate.
The analysis of variance technique is then used to analyze the data and the result is summarized in Table 3.
Forty-eight sets of the experiment are conducted and obtained data is analyzed by analysis of variance technique.

Instead of slicing the model from STL data, this methodology direct slices of CAD models using a constant layer thickness in EUCLID-IS based CAD system.
The complexity of the internal and external shape of dies and molds requires a more direct method in conversion of CAD data to process planning instructions.
Direct slicing of CAD models without the intermediate .STL format is preferred because it helps keep the geometric and topological robustness that the original data have and no intermediate conversion process is required.
In order to minimize the inaccuracy, the tolerance parameter and chord height can be set to smaller values, but this would make the STL data very large.
The plasma-jet path data are generated from CAD data unlike conventional tool path data created from the STL data.

Grey model (GM) has advantages of good prediction accuracy with a small number of data used.
The raw data series is assumed to be.
The unified values of the raw data are also presented in Table 1.
Table 1 Energy consumption data from one Chinese airport for the whole year 2010 (raw data and their unified values) Validation of the GM (1, 1) model.
According to the formula in [6], in our sample data meets , which indicates the data could be used for smooth modeling.

Due to the lack of available data on domestic water distribution systems, the macroscopic model is used to model the water distribution system in this study.
Improved PSO based on AHP-RS and RBF Neural Network AHP-RS and RBF neural networks are loosely based on the neural structure of the brain which provides the ability to learn from the input data they are given and then apply this to unknown data, in effect they can generalize and associate unknown data.
RS is used to Discreting Sample Data.
Then, the data of sample 8 is used to be monitoring sample.
As mentioned previously, 48 data groups are kept for testing.

The node for energy saving and monitoring is a wireless sensor actually, which plays the role as collecting data and controlling.
This node converge the data of the WSN, and transfers the data to the server of the platform for energy saving and monitoring.
The interaction and monitoring system for energy saving inside the building collects energy utilization parameters and operation status information, makes processing, analysis, storage in allusion to the relevant parameters, at the same time generates data curves with the parameters after processing, and then stores the data curves.
The manager of the building can read the data or data curves of the energy consumption system or equipment through the background software.
After analysis over the data or data curves, exploring the energy saving potential of building, find out the link or time period in which the energy saving can implement.

With extensive experiments on one representative SD dataset of three speakers' recordings, our method achieves better accuracy than DTW, where 0.5% relative reduction of error rate (RRER) on clean speech data and 7.5% RRER on noisy and bad recording speech data.
In MWDTW, we define a similar index for each merged training data as CIDTW, and then perform DTW alignment on merged speech data with index identified.
Compared with original DTW, our new weighted method achieves better accuracy both on clean data with 0.5% relative reduction of error rate (RRER) and on noisy data with7.5% RRER.
Results Data Preparation.
Given ten time recordings for each name, one audio file of a certain name is randomly picked out as training data, the other nine files are testing data.

The high performance of the Co10-Ni10/CeO2 was attributed to enhancement of surface Ce4+ reduction and fine particles of metal.
As CH4 showed signals in TCD and FID simultaneously, total analysis of the products was given and data with carbon balance over 95% were adopted.
The first reduction peak temperature at 320oC was attributed to the reduction of Co3+ to Co2+ and the second at 380oC was assigned to the reduction of Co2+ to Co0.
For ceria, two reduction peaks could be observed.
The first broad peak at 400oC was due to the reduction of surface and subsurface Ce4+ to Ce3+, while the second peak at over 800oC corresponded to the reduction of bulk Ce4+ to Ce3+.