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The TPR profiles showed reduction peaks of NiO species in weak interaction with the support, and reduction of nickel present in the NiAl2O4.
Then, the data were collected at fixed intervals of time (15min).
Fig. 3 shows the average crystallite size and crystallinity values taken from the XRD data for the NiAl2O4 samples.
It was observed for all samples a low temperature reduction peak at around 400°C that can be assigned to the reduction of NiO species interacting weakly with the support.
On the other hand, reduction band at 870°C is attributed to the reduction of nickel aluminate phase [14, 15].

It was observed from the stress and strain values obtained in these tests that there is a reduction in tensile strength.
This increases its resistance because the reduction of surplus water improves the workability of the concrete; it also decreases the amount of void left by this water evaporation [1].
The image data were processed with Correli program implemented in MATLAB software.
Note that the x-axis data are obtained by DIC as mentioned earlier.
In Fig. 3, there is a reduction in the steepness of the curves that increases with the replacement WTR.

The traffic data and corresponding weather information data from the Inner Ring in Shanghai for more than one year were used.
Second, the traffic and weather data sources are introduced.
Traffic and weather data Traffic and Weather Data Source.
The MSS data was recorded once every hour whereas the traffic data was collected every 5 minutes.
The combined data are available from May 2010 to July 2011.

Typically, the data was collected from 10 o to 80 o (2è).
According to the data in the table, the difference of surface area between CeO2 and HZSM-5 supports is large.
Before reduction, the Ni precursor is mainly in the form of bulk NiO.
A single broad reduction peak was observed for Ni/CeO2 with a maximum at 450 oC, while the reduction peak of Ni/HZSM-5 was located at 500 oC.
According to CO-TPR test, the reduction of catalyst at 500 oC ensures NiO species being completely reduced.

Moreover, it provides many advantages, such as reduction of workers, cost benefits, time-savings, and reduction of health risks.
The application of remote-controlled water sampling is therefore useful for environmental field work, as it provides many advantages; such as reduction of workers, cost benefits, time-saving, and reduction of health risks [6].
Moreover, it provides many advantages; such as reduction of workers, cost benefits, time-saving, and reduction of health risks [3,5,6].
Moreover, it provides many advantages; such as reduction of workers, cost benefits, time-saving, and reduction of health risks.
For future work, this remote-controlled water sampler can be applied by matching up with water quality sensors such as temperature, pH, dissolved oxygen, total dissolved solids, electrical conductivity sensors, and design for store all water quality data is acquired on a memory card.

The scales’ dimension and shape are the key factors influencing the drag reduction function of the low-resistance scarfskins [4].
The test apparatuses are as follows: (i) Drag balance: drag sensor, the measuring range is 200 N and the load resolution is 0.1 N; (ii) TEAC-SA55 bridge-type amplifier and NI-PCI4472 data-sampling plate with the highest sampling frequency of 200 kHz; (iii) IBM computer.
Fig.8 shows the drag reduction efficiency curve of the biomimetic shark-skin coating.
It can be seen from Fig.8 that the highest drag reduction efficiency of the biomimetic coating reaches 8.25% while the average drag reduction efficiency is 6.91% in the experimental conditions.
Drag reduction mechanisms derived from shark skin.

Compared with the data reported earlier[26], a good agreement was observed with 3.33% in table 2.
Each solubility data is an average value of three experimental solubility measurements.
In our study, both of these models were applied to correlate the solubility data.  
The correlation parameters of experimental data are shown in table 6.
Data. 2010, 55, 3946-3951

For the mechanical characterization (traction test) a 5 Ton Lloyd machine was used, with digital extensometer, both connected with NEXYGEN software for acquisition and treatment of data.
From this data is clear a diminution in the yield stress, from an average value of 279 MPa in standard steel without boron, to an average of 218 MPa in boron steel.
If the ratio between yield stress and tensile strength for both kind of steels is compared, it is possible to observe that for standard steels, the value 1 is reached for accumulated reductions of 80.2 %, while for boron steels this value is obtained for total reductions over 91.5 %.
Additionally, the ductility of boron steels, represented by means of the reduction of area Z, is notably higher than the standard steels from sixth matrix (i.e., reductions over 80 %) place where the facture is most probably that occurred, due to the small diameter of the wire.
That better aptitude are still more reflected in the indicated properties during the cold drawing of wire, particularly for total area reductions over 80 %.

In order to cancel effects of noise as much as possible some measures have to be taken for data manipulation noise cancellation, such as averaging, inverse filtering and so on.
In order to minimize spurious peaks, which widths are less than 2j samples, the sampled data are made smooth by performing the moving average of the data sequence: [ ] [ ] [ ] [ ]1 1 32 1 +++�= nycnycnycny , 1321 =++ ccc . (5) This is equivalent to operate the Hanning spectral window.
To perform the subtraction, first data are taken from the test object without presence of any target.
Another data are taken with the presence of target.
Let’s consider the model of received discrete noisy signal ][][][ nnynz
+= , Ni ,...,1= . (9) To reconstruct the original data, a wavelet representation is used [4].

We derive a dimension reduction DOA estimaton algorithm therein.
In this paper, we derive a dimension reduction algorithm, which reduces the complexity for angle estimation in a uniform rectangular array.
Data Model A uniform rectangular array for satellite consisted of elements is shown, where the distance between two adjacent elements is d.
Dimension Reduction Algorithm 2D-MUSIC We construct the 2D-MUSIC spatial spectrum function (2) where ,= .
In the following subsections, we present a dimension reduction algorithm for the 2D-DOA estimation just through a one-dimensional local searching.