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Numerous literature have been reported on the exploration of various methods in synthesizing nanoparticles such as hydrothermal, thermal decomposition, chemical reduction, reduction of liquid vapor, sol-gel, microemulsion, etc.[2–7].
The data were collected over 20o ≤ 2θ ≤ 70o using mono-chromated Cu-Kα radiation.
The XRD pattern shows reflection peaks at 2θ = 44.5° , 51.9° and 76.5° corresponding to the crystal lattice of (1 1 1), (2 0 0) and (2 2 0) of face centered cubic (fcc) crystal structure of Ni with reference to JCPDS-00-001-1260 data.
The resulting data were compared to NiO compounds with reference to JCPDS-00-044-1159 data and no sign of peak can be observed.
Montero, The synthesis of nickel nanoparticles by hydrazine reduction, Adv.

The cooling and heating resources contained in urban sewage have significant influence on the “energy conservation and emission reduction”.
Introduction The urban sewage discharge in China is huge, and utilizing the thermal-energy contained in sewage significant influence on the “energy saving and carbon reduction”.
The overall goal is to bring the sewage thermal-energy resources into urban sustainable energy supply system, avoid disarray in construction of sewage-source heat pump projects, and play stronger role in "energy conservation and emission reduction".
The planning of urban sewage thermal-energy distribution can provide basic data for design and operation of sewage-source heat pump projects in planning district.
Researches on theory and method of urban sewage thermal-energy resources plan will provide important theoretical support and guidance for its extensive utilization, having significant influence on "energy conservation and emission reduction".

., oxidation of the iron particle surfaces and reduction of iron oxide by magnesium vapor.
According to the data of this figure, hereafter, the magnesium deposition temperature was fixed at 600�.
It is thought that the decrease in coercivities is due to reduction of stress induced by cold working of the powders, and the heat treatment at a temperature of 600� or higher is necessary for the complete stress relief.
higher than the catalogue data of the original sheets [5].
The SMC made from the MgO-coated powder can be subjected to the stress-relieving heat treatment for reduction of coercivity, which results in comparable iron losses to those of the as-punched silicon-iron laminations.

With model order reduction (MOR) these models can be converted into structure-preserving reduced-order finite-element models (FEM-MOR-models) which can be solved very efficiently in MATLAB/Simulink®.
Figure 2: Selective Thermography (compare [6] and [11]) Thermal analysis using model order reduction.
The aim of the model order reduction (FEM-MOR, [12]) is to approximate the original state vector of the nodal temperatures {T} with the dimension N by its projection in a suitable subspace of small dimension n (n << N).
Figure 5: Comparison of the experimental results with the simulation results (compare [11]) The temperature values obtained with the FEM-MOR model (see Fig. 5) are similar to the measured data.
The selective thermography provides the necessary measurement data in high structural resolution.

The frame data contain types of hazards, disaster causing factors, induced events, vulnerability factors and model parameters etc., data types including spatial data and attribute data.
Besides the model data is stored separately, access attribute data and spatial data in computation, then output the results into risk dataset.
Data Management and Update.
Data is the basic of hazard research, fresher data is more reliable.
These parameters is extracted by historical data fitting, but data for some node is not sufficient, can only do research through Monte Carlo or experts experience.

The presented method is able to estimate the effect of the helix angle on the sliding loss correctly whereas the estimation without using the data of tooth contact pattern cannot.
(1) Where n is the position ratio related to the meshing position, Φ is the pressure angle, μ is the friction coefficient and m is the speed reduction ratio.
This may cause the reduction in overall sliding loss ratio due to the reduction of contact area.

First, we use c-means clustering to generate fuzzy partitions and eliminate redundant data, and then map the original data set into fuzzy interval, in the end, we extract the fuzzy association rules on the fuzzy data set as providing the basis for proper decision-making.
On the basis of previous studies, in this paper, we put forward the fuzzy clustering method of data preprocessing. first, we use c-means fuzzy clustering to extract the data distribution information ,thus each attribute interval is divided into several fuzzy data partition and then the quantitative data are allocated into fuzzy interval.
Finally, we extract fuzzy association rules in fuzzy data set.
In this paper, we first use fuzzy c-means clustering algorithm to extract the distribution information of the data, and then convert the original transaction data of numerical attributes into the fuzzy partition data sets, second, generate the fuzzy partition for each attribute and eliminate the redundant data, and we get a rough fuzzy partition.
An Independent Rough Set Approach Hybrid with Artificial Bee Colony Algorithm for Dimensionality Reduction[J].

To obtain the minimum sphericity error from the form data, an approximations technique is devised.
First the method is modeled, then the process of approximations is constructed, and finally software for data processing is programmed.
The sphericity data must be obtained using appropriate inspection devices such as coordinate measurement machines (CMM).
The data must also be processed using appropriate techniques to obtain reliable results during the evaluation of sphericity error.
After taking into account all possible results and branches in the process of the geometric approach, we have a data processing software programmed.

The equilibrium adsorption data and the model parameters were evaluated.
The isotherm study indicates that adsorption data fit well with the Langmuir model and Pseudo second-order kinetics.
Comparisons with literature data Table.3 summarizes some relevant literature data that have been applied to various photo-catalyst adsorbent and operating conditions on adsorption of HA from aqueous solutions.
The data clearly indicated that Mercury lamp (100W) and UV-Vis as a light source shows higher photo-degradation efficiency (>90%).
The isotherm study indicates that adsorption data fit well with the Langmuir model and Pseudo second-order kinetics.

Although the measuring method is different, the measuring data is consistent on the comparative conclusion of the three kinds of fuel.
From the perspective of the effect of PM emissions reduction, SME is better than WME.
The emission reduction effect of SME on the mass of PM emission is more obvious on the external characteristic test., and the average value of emission reduction is74% under the three kinds of speed.
With the increase of rotating speed, the reduction effect presents a weakening trend.
The average reduction of soybean oil methyl ester is 70%, while the average reduction of waste cooking oil methyl ester is 57%