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The simulated data are also shown (solid and dashed lines).
In order to compare as close as possible the experimental data with the simulated results a routine was developed [11] to evaluate the Raman shift based on a pre-calculated stress field by numerical or analytical models.
A morphological analysis by Secco d'Aragona etching confirms this reduction.
The data of the second row refer to the annealing at 10500 C. 1.
The data are obtained by SEM inspection after Secco etching.

A dimensionality reduction algorithm, the so-called NPE (Neighborhood Preserving Embedding) is introduced to extract the key features from the high-dimensional space.
Data set For clearly presenting the better performance produced by the new method, a well known dataset [6] is used in our work.
NPE NPE is a linear dimensionality reduction algorithm.
The -th node corresponds to the data point.
If denotes the -th observed data point in the high dimensional space, then the d-dimensional embedding is computed by the formulation: .

Several factors including 1T1R structure and titanium nitride (TiN) bottom electrode (BE) are applied for power reduction.
In order to realize better read performance, 8 bits readout data come from different blocks to avoid thermal crosstalk.
In addition, RESET current decreases deeply with TiN BE (1.6 mA) representing a 56% reduction compared with W BE (3.6 mA).
Consequently, our study does suggest using TiN BE to replace W BE is a trend for power reduction.
The chip based on TiN BE consumes lower RESET current representing a 56% reduction than W BE, and the yield achieves 100%.

Efficiency of Steel Casting Production by Aluminothermic Metal Reduction Igor G.
An exothermic oxidation-reduction reaction, in which iron reduction from waste occurs, serves as a basis for this technological process [6].
From experimental data the volume of reduced metal amounts to 50-55 % of the initial feeder volume [10].
The lower range value is conditioned by experimental data for thermite mixtures with various contents of the reducer at loose filling [12].
Komarov, Mathematical Model of Iron Reduction with Aluminothermic Method, Advanced Materials Research. 1040 (2014) 484-488

Therefore, material data for THF would benefit from being extracted from tubular samples tested under a biaxial state of stress.
From Fig.1 it can be seen that all the constitutive laws fit the experimental data well, except Hollomon.
The experimental data collected during the tests were used in the FEM.
The expansion and thickness reduction at the bulge height were extracted from the model and compared to the experimental data.
Figure 6 compares the predicted longitudinal strain to the experimental data.

Data sources and feasibility analysis A.
So high dimension data should be reduced.
Data is discretization, and data variables can express by a few control factors.
So the pattern classification of hypersonic inlet can reduced, and this is a standard pattern recognition problem, Manifold learning nonlinear dimension reduction method can be used to high dimensional data classification.
There is much noise by data set or the branch from abnormal data.

The friction force between pin and disc during the pin revolving was recorded automatically with a load cell every 0.5 s and these data were used to calculate the COF.
The highest COF reduction was 0.059 corresponding to the nanoparticle concentration of 0.5 wt%, which indicated that aluminum nanoparticles contribute to friction reduction.
In addition to the friction coefficient data, the special wear rate of the disc from the above trials was measured, see in Fig. 4.
The influence of dispersant oleic acid on the friction reduction and anti-wear properties of nanoparticles were studied.
Furthermore, the effect of a surfactant agent on friction reduction is indicated in Fig. 7.

The thermal treatment routine was chosen from thermogravimetric analysis data.
From the results of the analysis (Fig. 1a) the reduction treatment parameters were chosen.
It can be seen from the plot that the reduction process proceeds in several stages.
Thermal treatment routine is needed to achieve maximum surface area can be defined from collected data.
However the reduction of surface area from 7 m2/g to 3 m2/g takes place due to the sintering of the powder.

Refer to energy conservation potential of textile industry in Taiwan [6], the study is collected about saving energy data from 303 factories by the on-line Energy Declaration System (EDS) in year 2008.
Methodology To studied and collected data of energy-related GHG emission in Thailand’s textile industries.
The data were collected in several dimensions such as the fuel using in production process, production quantity, machine and technology in production process.
The type of data included the activity, economic and energy data that collected from various data sources for example, Office of the National Economic and Social Development Board (NESDB), Thailand Textile Institute, Department of Alternative Energy Development and Efficiency (DEDE) and direct survey etc.
The fuel switching scenario was considered from based year data (2011).

The relevant data of co-processing of domestic waste in cement kiln came from the actual investigation of typical enterprises, including the data of resources, energy consumption and pollutant discharge before and after co-processing of domestic waste in cement kiln.
In the background data, the transportation list and energy production list came from Sinocenter database, and the mining list of related ores comes from Ecoinvent 3.2 database.
The data of landfill were calculated from the actual data of municipal solid waste sanitary landfill in Guangxi province [12].
Inventory data came from relevant references [13,14].
Analysis on the Environmental Impact of Co-Processing in Cement Kiln According to the investigation results, the direct consumption and emission data co-processing of domestic waste in cement kiln and ordinary cement kiln typical production lines were compared, as shown in Table 1.