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After final annealing (circles), the grain diameter is the largest for the rolling reduction of 5%, which means that SIBM occurs most effectively after this specific rolling reduction.
For reductions larger than 5%, grain diameters decrease with increasing rolling reduction..
These data are consistent with the one previously found by Park et al. [6], which also showed that, after 6% strain, the difference of stored energy between Goss and D-Cube orientations was indeed very small.
Concerning the D-Cube orientation, the data of Fig. 3 are thus inconsistent with the fact that this orientation does not develop during annealing (Fig. 2(f)-(h)).
If this idea ( speculated from both experimental data on single crystals and orientation stability analysis) that D-Cube grains have more homogeneous dislocation and orientation distributions than Goss grains, is taken into consideration, our experimental results in terms of texture evolution can then be explained as follows: in the 5% rolled specimen, the Goss and D-cube grains present almost the same lowest stored energy value but Goss grains present a growth advantage due to more heterogeneous microstructures.

As shown, the system consists of four different parts data collection, transmission, analysis and central control.
The data collection unit targets at obtaining environment parameters such as light, temperature and humidity.
Analysis part deals with the data from transmission units before delivering them to the central control unit further.
As seen, the data required will be transmitted only when data request happens and the request is authenticated.
The control unit analyzes the data received and starts the shadowing and irrigation after authentication.

So, a vehicle sound data sample was used in examining our new data producing method.
Next, the small probability sample data was picked out to form a new data set(also called Grey Hazy Set) and the left data to form another data set(called large probability sample).
(13) With accumulation-reduction processing of X(1) , the prediction equation of X(0) is got: (14) in which k=0,1,… ,and .
Inserting data of small probability data sample.
Conclusion This paper deals a problem of how to increase the data amount of inadequate data sample with unusual data.

During the field research the facts were observed and taken data collection.
Following, it was made the analysis and interpretation of the collected data.
In Figure 7 there are partial data from the implementation of LEED in the work of Maracanã referring to February 2011.
This is the result of a first data collection of points aimed at sustainability in the construction site of Maracanã.
In Figure 8 are the final certification process data from LEED, dating from May 2013.

Hence, a variety of routes such as photolytic reduction [4], radiolytic reduction [5-6], sonochemical method [7], polyol process [8,9], alcohol reduction [10,11] and organic solvent reduction were reported for the preparation of metal nanoparticles (Pt, Pd, Au and Ag) [12].
Several examples exist on the reduction of metallic salts by organic solvents, mainly ethanol.
Usually, these nanocomposites are prepared through blending nanometer metal particles with polymer [15], reduction of polymer-metal ion complexes or metal ions in the polymer solutions with reducing agents [16-18], and reduction of metal ions with the aid of irradiation [19,20] and thermal reduction [21].
Formation of Ag nanoparticles is by in situ reduction of AgNO3, in the presence of DMF, by thermal or UV reduction of PSF/AgNo3 films.
We expect SEM images to confirm our assessments and to find them in good concordance with the other experimental data.

Currently, the integrity evaluation is based on the analysis of temperature, and pressure data registered on a continuous data base over a period considered adequate by the station supervisor.
This curve is drawn using the ASME Code data [4] as shown in Figure 1.
The system used, named Monitermo, was developed at CEPEL, and is based on WEB technology, Postgres data bank and Field Point platform, from National Instruments, for data acquisition.
Data are stored periodically in a data bank that can be accessed via internet.
The use of a monitoring system in real time gives a faster response, allowing more precise remaining life calculations through reduction of errors from the manual method and refinement of the data used.

In the open literature, only a limited amount of data is available for this class of materials.
No comparative data is available for the Fe-22Mn-C-N TWIP steel.
Figure 4 shows that the onset temperature for recrystallisation decreases with increasing amount of cold reduction.
Figure 4 The effect of different levels of cold reduction on the onset temperature for recrystallisation.
Figure 5 The effect of cold reduction on the grain size after annealing at 750°C and 900°C.

Generally, the operation of smart grids could be summarized in three steps: Data Acquisition.
WSNs are networks comprised of sensor nodes and data centers and an appropriate communication mean for data transmission; as it is presented in this paper, these networks are viable to be implemented as smart grids, because of their benefits in the data acquisition stage.
Data Processing.
Since it’s difficult to store and perform such huge computations on one data center, these calculations are done on various layers and distributed over many data centers.
Sensors must be selected according to the type of data they are designed to measure [8].

Combined with strength reduction method and using 3DEC for simulating Dazhai landslide.
Introduction According to the statistics data of Geological Environment Monitoring Institute in China, landslide which is related to rainstorm in our country accounted for about 70% of the total [1]. 13 large landslides in the 2010 of geological disasters are all related to rainfall.
According to the literature of remote sensing data and field measurement, the length of the water body which is full of rear fissure of landslide L1 is 25m, the length of the floating lift force works on the shear slide plane L2 is 360m, the average width of slide body L is 166m[7], the angle of rear fissure α is 75°.And the result of formula (1)(2) are as follows: hydrostatic pressure V=4.8×105KN, buoyancy U=7.2×106KN.
Use strength reduction method to reduce parameters.
When the reduction factor K increases to 1.19, the model reaches instability.

We estimated the effect of the proposed lighting energy management system by calculating the lighting energy reduction based on the real occupancy sensing data and the state of the lights in our office 606.
We used the occupancy sensing data for one day in Feb. 2012.
Each sub zone has its own occupancy sensing data.
The structure of the office at which the real occupancy sensing data is measured.
To show the effect of the proposed system, we estimated the lighting energy reduction based on the real measured occupancy sensing data.