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The influence of both strain amplitude and strain mode on the development of the deformation and recrystallization textures is discussed based on experimental data and results of crystal plasticity calculations. 1.
The results are discussed based on experimental data and results of simulations with crystal plasticity models. 2.
The orientation data were post-processed with the MTM-FHM software [3].
To the purpose of obtaining a reliable comparison between deformation and recrystallization textures, all orientation data were post-processed with the MTM-FHM software.
Both experimental data and results of crystal plasticity calculations show that recrystallization is controlled by low stored energy nucleation, i.e. nucleation is favored on microstructural sites with less than average stored energy.

Control of land planting structure and use of low carbon new energy are the main direction of rural carbon emission reduction in the future.
Data acquisition and methods Data acquisition The data on the carbon balance of agricultural ecosystem in seven typical towns around Yuqiao Reservoir originated from the latest on-the-spot investigation and relevant literature.
The data on the carbon emission of agricultural ecological system in Ji County were calculated from the following data of seven towns in the study area in 2012, including the yields of main crops, crops sown area, the amount of chemical fertilizer application, irrigation area, farm machinery power, the amount of livestock and poultry breeding.
All the data were based on the statistical yearbook of Ji County in 2013.
Study on the Carbon Emissions of Life in Rural Area Based on Energy-saving and Emission-reduction—A Case Study of Dezhou City.

The experiment results show that the proposed FFT processor is suitable for PAPR reduction in OFDM communication systems. 1.
Hence, design of variable-Length the FFT processor is key module of PTS technique for PAPR Reduction in OFDM Systems.
SDF architecture for radix-2/4/8 FFT is shown as Fig.1[3].To multiply -j, design can take advantage of the exchange of the real part situation and imaginary part situation, at the same time change the data symbols.
One mode is that input data directly stored in the FIFO shift register, while not action, until the FIFO shift register is full stored.
Wall: Architectures for Dynamic Data Scaling in 2/4/8K Pipeline FFT Cores.

The effect of noise reduction is obvious.
Up to now, the effect of noise reduction is obvious.
Thus we can achieve greater noise reduction effect.
The Characteristics of Muffler Noise reduction is effective, noise reduction is greater than 20 dB(A sound grade), loudness is reduced 75%.
Data can refer to table 1.

A large amount of industrial data are accumulated, these industrial data implies the relationship between the process parameters and production rules.
When operational pattern database has a large amount of data, attribute reduction method provides the necessary conditions for fast matching of operational pattern.
In this paper, a PCA method based on data for the attribute reduction of operational pattern is adopted, which improves the matching speed and accuracy of the operational pattern.
Consequently, it needs data reduction, and then it is the pattern matching. 3 Fast Matching Algorithm of Operational Pattern Considering the nonferrous metallurgical process with the characteristics of many process parameters, coupling, and containing noise of the data, a PCA method is introduced in this paper[7].
Secondly, choose production data of December, 2010 for simulation.

Boin 1, b 1 Helmholtz-Zentrum Berlin für Materialien und Energie, Hahn-Meitner-Platz 1, D-14109 Berlin, Germany arobert.wimpory@helmholtz-berlin.de, bboin@helmholtz-berlin.de Keywords: instrument control, data acquisition, simulation, dead time reduction, proposal submission, Finite Element Modelling [FEM] Abstract.
All aspects of instrument control, data acquisition, simulation and analysis are expected to merge in the future.
This could be done with the aid of a data format such as NeXus [8] which contains many more layers of information than are normally stored in a typical data file.
This constant availability of position and status data would be essential for simulations and collision avoidance.
The simulation can also be used to correct possible aberrations in real-time, interacting with the data acquisition and data analysis.

The strengthening mechanism of this Cu-Ag composite is described by a equation similar to the Hall–Petch relationship, the fitted results based on which shows good agreement with the experimental data when the layer thickness is lower than 100-200 nm.
It is also revealed that, good agreement is shown between the experimental data and fitted curve based on equation (2), when the layer thickness is lower than 100-200 nm.
However, the experimental data are quite different from the fitted curve when layer thickness is about 1 μm or larger, i.e., when cold reduction is low.
The varaitions between the experimental data and fitted curve is consistent with the microstructure characteristics and the rule of mixtures discussed above.
Good agreement is shown between the experimental data and fitted curve based this equation when the layer thickness is lower than 100-200 nm.

A sample of C-150 noise data reconstruction taken at t = 0.0 until t = 1.65 s Fig. shows the reconstruction of C-150 noise.
The data is taken at t=0.00 until t=1.65 second.
The data shown in Fig. 4 and those reconstructed and shown at fig. 10 are taken from a distance of 20 m at an elevation of 1.2 m exactly at the left of the C-150 aircraft propeller.
The data is then analyzed using FFT (Fast Fourier Transform) analyzer to obtain the frequency response.
The data is then inverted to obtain the anti noise source.

In order to correctly evaluate these diagrams, an advanced own developed software tool was used for the data filtering and appropriate modifications.
The initial purification/transformation technique applied on the data was the elimination of any duplicate points and the reduction of the number of points by forming the arithmetic mean of the coordinates of a given number of consecutive points in time.
Similarly, the next data modification is motivated by the nature of the experimental system.
Then, the resulting gaps in the data sequences were filled with newly created points by using polynomial approximation gap filling method (Fig. 3c).
a) The measured Pv–CMOD diagram b) The diagram after modifying its ascending part and elimination of any duplicate points and the reduction of the number of points (1. step) c) The diagram after “snap-down” and creating a new points by using polynomial approximation gap filling method (2. step) d) The recalculated Psp–CMOD diagram e) The final diagram after obtaining the points at the end of the diagram f) The indication of deduction the input data for the Double-K fracture model Fig. 3 Particular steps of the processing of the diagram for specimen V_1 and indication of deduction the input data for the Double-K fracture model Double-K fracture model.

Considering that data availability is a major concern and that data available is qualitative in nature, this paper proposes a set of indicators and a scoring system that can be used with a broad qualitative understanding of the sustainability attributes of the mini-grids.
The paper first presents the framework and the scoring system and applies this to the data gathered from the fieldwork in Kenya.
The framework has shortcomings especially when it comes to data collection as getting reliable data at installation level can be painstaking especially in remote areas.
The framework however relies on survey data from one country and this limits its generalizability.
Data for 15 mini-grids were used in this study to present an evaluation of their sustainability.