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Indeed, the wake modeling problem is addressed in this analysis by comparing three models with available measured data gotten from literature.
It is worth to mention that due to the difficulty to obtained data , large part of the reported studies compare the objective function computed with the results found in reference [10] using always the same characteristics of wind turbine and land area.
These two challenges have been received an important attention by scientific researchers especially the reduction of wind speed.
Three wake models are compared with available observation data from literature.
This wind speed reduction has a significant impact on power produced by each individual wind turbine and wind farm efficiency.

This paper is based on the data taken from a typical engineering educational institution in India with a population of about 3500 peoples [4].
The data are collected for a period of year (May, 2012- April, 2013) and the following calculations are obtained
Table 1: Conversion factors Materials Kg of CO2 emitted /unit consumption Grid Electricity 0.446/ kWhr Diesel 2.34/ltr LPG 1.493/ltr Petrol 2.214/ltr Results and Discussion The assessment was made by accounting the data from the electricity department, administration department and some measured data and then the calculations were made by using conversion parameters.
This indicates the reduction of CO2level by 1.27%.
We express our sincere thanks to transport department, maintenance team, electricity department of SSN College and hostel for providing necessary data.

For instance, under the same deformation condition (5% reduction in thickness), dislocation density is the order of 10 14 m -2 in a coarse grained material (mean grain size; 20µm), while it reaches 7×10 15 m -2 in an ultrafine grained material (0.25µm).
A real work hardening behavior can not be detected during necking deformation due to the reduction of sectional area of test pieces.
Fig. 3 shows changes in 0.2% proof stress for the materials with different grain size (20µm, 0.35µm and 0.25µm) as a function of prior cold-rolling reduction.
This Bailey-Hirsch equation is constructed by the data up to the dislocation density of about 10 15 m -2 for iron with large grain size, but if we can accept the linearity to 10 16 m -2 , a large yield stress of 1.1GPa is expected for the iron with this dislocation density.
The data in Fig. 3 clearly shows the change of strengthening mechanism, that is, yield stress is almost constant up to 5% deformation and increasing gradually above 5% deformation.

Finally, we also analyze the reduction potential of CO2 emissions by numerical results.
The data used in calculation is based on statistic data and the data in 2007 and previous years.
According to these data, we can estimate the maximal annual production capability about the pig iron, crude steel, hot rolled steel and cold rolled steel, which are 11650420 tons, 11898000 tons, 11200000 tons and 4500000 tons, respectively.
If CO2 emissions can be charged in future, CO2 emissions reduction also can make some profits finally.
However, the current emissions reduction is not very large compared with the total emissions amount.

Generally, the experimental data for isotropic materials are interpreted using the von Mises yield criterion [2].
Generally, the experimental data reduction and F.E. analysis of bulging of isotropic materials is done assuming that the plastic behavior can be modeled with the von Mises yield criterion; for the classical analytical solution for the stresses and strains at the pole of a hemispherical bulge, see Young et al [5].
For example for the aluminum alloy AA 6016-T4,and while the elastic properties are: E = 69 GPa and (see benchmark data and information on this material reported in [7]).
For this reason, it is crucial to accurately predict the reduction in thickness.
Conclusions It is generally assumed that for isotropic materials, the effect of the third invariant on yielding does not affect the response during forming, so the von Mises yield criterion is used for data reduction and analysis of simple forming tests such as bulging under pressure.

The results of the simulation indicate an enlargement of the combustion front with the re-circulation of the waste gases and the possibility of existing a reduction of the solid fuel consumption.
Introduction The sintering process is used to partially melt and add the thin particles of iron ore in order to produce sinter to the reduction process in blast furnaces.
Results and Discussion A base case was used based on an industrial data set and, afterward, seven new operation scenarios were calculated (a larger conveyor belt was used).
Such as Guilherme et al., 2012, such process, as a result, increases the calcium-ferrite fraction in the sinter, improving its reduction coefficient.
In: 41° Seminar of iron ore reduction & mineral technology, Vila Velha, ES, 2011.

Research for Analysis of Fire Data Based on the Grey Relation Weifang Cao The Armed Police Academy Basic Courses，Langfang，Hebei ,China jnyt2068@yahoo.com.cn Key words: integrated relational analysis; association coefficient ;fire disaster analysis Abstract：Based on the statistic data of fire disasters that occurred in China between 2004 to 2008 and selecting six reasons which led to fire disasters and resorting to the theory of grey integrated relational analysis, this paper makes integrated relational analysis and advantage analysis for the given system which is characterized by the total number of disasters, the number of death caused by the fire and the economic loss that the disaster directly led to.The result can be useful when it comes to the research on the law of fire disaster and the fire prevention.
Gray relational degree model 2.1 The original data processing So is the mirroring initial value of the sequence.
The Grey Correlation degree of same length sequence is given, but for different lengths of sequence, we could delete the excess data of longer sequence or predicted by grey system GM (1,1) model to supplement insufficiency data in the shorter sequence to make it become same length sequence, but it will generally affect the value of the gray absolute relational degree. 2.3 Comprehensive correlation model Suppose that length of sequence X0 and Xi are the same, and the initial value are not zero, and, and are the gray absolute relational degree and gray relative relational degree of X0 and Xi respectively, is the gray Comprehensive correlation degree of X0 and Xi, called comprehensive correlation degree for short.
Construct correlation matrix as below: we can get a new mean value image constructed matrix after data processing ， suppose Comprehensive correlation coefficient and calculate the gray correlation matrix by software: Similarly, take the number of casualties, the direct economic losses as reference lines to make correlation degree analysis with the fire causes respectively.
This article provides scientific basis for disaster reduction or disaster prevention with comprehensive correlation analysis of designated gray system (fire causes and consequences).

The vibration data of the normal and faulty rolling bearings was acquired from an experimental test bed.
Both simulated and actual data testify the effectiveness of the proposed time-frequency analysis method.
The vibration data of the normal and faulty rolling bearings was acquired from an experimental test bed.
The fault diagnosis procedure can be described as follows: (1) Measure the vibration data from the monitored rolling bearing under normal and faulty conditions, respectively
This means the SOM　can correctly identify the fault patterns in the input data.

The results show that, the reducibility and the reduction disintegration are improved, and the mineral compositions of the sinter become reasonable with the basicity increasing.
However, no systematically fundamental data support is provided to determine the range of sinter basicity that meets the condition of Ansteel’s raw materials according to the high-temperature metallurgical properties of the sinter.
Study on the Influence of Basicity on Sinter’s Metallurgical Performance 2.1 The Influence of Basicity on Sinter’s Low-temperature Reduction Degradation and Reducibility The major experimental data and the mineral composition of sinter with different basicity are shown in Figure 1.
At the same time, the decrease in regenerative hematite ores, silicate glass phases, and pores has also brought down probability that the sinter is disintegrated due to the lattice transformation during the reduction at low temperature and finally caused the decline in sinter’s low-temperature reduction degradation index.
The main experiment data is shown in Figure 2.

The unit weight of the concrete decreased with an increase of PCM reduction of up to 4.6% at 30% micro-PCM content.
Unit Weight The experimental data reveals that the unit weight of concrete reduces when PCM is added to the mixture, as depicted in Fig. 4.
This corresponds to reductions of approximately 1.9%, 3.4%, and 4.6%, respectively, relative to the control sample.
This represents a reduction of approximately 26.2%, 39.3%, and 49.2%, respectively.
As PCM content increases, peak temperatures decrease, with the 7.5% PCM mix showing an 8.3% reduction, the 15% mix a 16.7% reduction, and the 30% mix a substantial 25% reduction, indicating the PCM's effectiveness in absorbing and moderating heat.