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Introduction The reduction of particle diameter of aluminum powders from general considerations of the kinetics of heterogeneous reactions should lead to increased reactivity [1].
Mass fractions of metal aluminum in the samples were determined using volumetric analysis and by calculation according to the DTA data.
The results of research of influence of storage conditions of powders at different humidity showed that oxidation rate and composition of products is not consistent with the data on the effect of dispersion of the samples on the thermal stability to oxidation when heated.
To confirm the conclusion made on the basis of volumetric data XRD analysis of the samples was carried out after incubation in saturated water vapor above the solutions and above silica gel for 14 days.
In accordance with the received data micron powders of aluminum is less resistant to water vapor than aluminium nanopowders.

Fig. 1 shows the DSC-TGA data of Borassus Flabelifer L which is divided into two curves; Mass change (TGA) and heat change (DSC).
Among the compounds that allow decomposition based on EDS data are Mg, Zr, S, K, S, Cl, and Na.
Based on DSC-TGA data, the heating temperature variables after activation; 650 0C, 7500C, and 850 0C were used in this research.
Voltage curve which can be determined broadly between curves as data in determining capacitance.
Capacitance data of Borassus Flabelifer L at (a) 6500C, (b) 7500C, and (c) 8500C.

Updating set approximations for these dynamic information systems is a necessary step for further knowledge reduction and decision making in DRSA.
The object is selected randomly from data sets when a conditional attribute value changes.
For this purpose, we divide all the data sets to five equal parts and data1-data5 are formed by combining the 1-5 parts.
Experimental results on real data sets show the effectiveness of the proposed approach.
Fig.1 Iris Data Fig.2 User Data Fig.3 Ionosphere Data Fig.4 QSAR Data Fig.5 Image Data Fig.6 Wine Data Acknowledgements This work is supported by the Natural Science Foundation of Hebei Province (No.

Preliminary validation of the model results using experimental data from literature shows a close relationship.
The characteristic properties form part of the data necessary for modeling the steam gasification phenomena.
Component Composition Mol flow/mol of dry wood Mole (%)/mol of dry producer gas Experimental yield* Mole (%)/mol of producer gas H2 CO CH4 CO2 1.0935 52.23 48.88 0.3645 17.41 22.7 0.1980 9.46 6.22 0.4375 20.90 22.2 H2O 0.4335 *Data taken from Karmakar and Datta [18] The comparison of the model results with experimental data shows comparable gas composition.
The producer gas composition obtained in this study is similar to the literature data published on downdraft gasifiers.
Sharma: Equilibrium modeling of global reduction reactions for a downdraft (biomass) gasifier, Energy Conversion and Management Vol. 49 (2008), p. 832 – 842

The reduction in frictional force brought about by lubrication leads to decrease in cutting force and ultimately reduction in manufacturing cost [5] Cutting fluids have been used to deal with the problem of high heat generation and reduction of frictional force during machining operations.
Thus, 36 data points were taken for the four experimental fluids.
The experimental run for each data point was done twice and the mean of the resulting two values of each of the measured variables (cutting zone temperature and power consumed in cutting) was obtained.
Incidentally, all the four cutting fluids used in this study gave their lowest cutting zone temperatures and power consumptions at the same data point of 34 m/min cutting speed, 1.0 mm depth of cut, 0.08 mm/rev feed rate and 200 ml/min fluid flow rate.
At the best machining data point, maize-starch based cutting fluid showed reduced cutting zone temperatures and power consumed during cutting compared to the conventional cutting fluids used for the study.

The alignment of low angle boundaries was analysed from EBSD data and shown to be a function of grain size, strain and boundary misorientation.
The EBSD data were subsequently analysed by VMAP, an inhouse software package [5,6].
The mean lagb misorientation increases with strain from ~1o to 3-4o , which is consistent with previous investigations, but again the data show no clear evidence of the effect of initial grain size on this parameter.
Although lagb alignment can be determined from TEM observations, data of better statistical significance has been obtained from the analysis of boundaries in EBSD maps of material deformed to low strains [9].
Humphreys: VMAP is a suite of programmes developed for quantitative analysis of the EBSD data generated by the HKL Channel acquisition system.

The technique generated random data used Bootstrap.
Each of the rule sets produced are then evaluated on the original training data and on the test data.
There is no missing data present in the training dataset.
The technique generated random data called Bootstrap [22].
Due to ensemble techniques, there is a reduction of the bias problem that arises from the collection of data used in learning including the fixed set of parameters.

Visibility Data.
NCDC data had undergone extensive automated quality control (QC) to correctly decode as much of the synoptic data as possible and to eliminate many of the random errors found in the original data.
Ambient Air Quality Data.
The API data have been extensively used in studies on air pollution in China.
The API data for days with RH >90% or with precipitation were also screened out.

The temperature of maximum rate of weight reduction was lower for sodium, barium and nickel exchanged brown coal than that for acid-washed coal by 50°C, otherwise, the samples of magnesium and calcium did not influence the decomposition temperature compared with acid-washed coal.
Coal samples The Yunnan brown coal were crushed, ground and sieved to less than 0.25mm, and the measured data of raw coals are listed with proximate and ultimate analysis in Table 1.
With added the NaCl, KCl, KOH, NaOH and Al2O3, all of these catalysts had little effect on the conversation of coal pyrolysis, but the temperature of maximum rate of weight reduction was higher for the hydroxide.
It not only increased the reaction conversion but also the temperature of maximum rate of weight reduction lower.
In addition, the most inorganic materials can make the temperature of the maximum rate of weight reduction lower and change the process of the Yunnan brown coal.

Thus, energy saving and emission reduction have become an important and arduous task in the economic development for Jilin.
(2) DEA model and the related concepts of it 2.1 DEA model Data envelopment analysis (DEA), which is first proposed by Charnes, Cooper and Rhodes in 1978, is a non-parametric method for evaluating the efficiency and effectiveness of multiple Decision-making Units.
We make the comprehensive analysis of input and output data and obtain the index of the relative efficiency of every DMU.
Where, (xij and yrj are known data, generally we can get them through the historical data or forecast).
Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach[J].