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The objective of this study is to evaluate the characteristics of leachate from two landfill site, which are located in northern Peninsular Malaysia, namely Matang Landfill Site (MLS) and Kuala Sembeling Landfill Site (KSLS).Comparison of data with Malaysian Environmental Quality (Control of Pollution from Solid Waste Transfer Station Landfill) Regulations 2009, under the Laws of Malaysia Environmental Quality Act (MEQA) 1974 and previous published data were carried out in this study.
Then obtained data were compared with data published by previous researchers and MEQA (1974).
A reduction of range value of COD for MLS was recorded for this study.
Thus, reductions of leachate concentration from both landfill sites are important.
Therefore, reduction of ammonia less than 5 mg/L must be carried out in order to obey the allowable limit by MEQA (1974).

Because of the complicated testing process and data processing, the fracture toughness parameter is not used as widely as the CVN and DWTT.
The data fluctuation of CVN impact energy and fracture shear area was significantly less at the surface than at the center of wall thickness (Figure 1).
At the center of wall thickness, when the temperature was below -30℃, the impact energy and shear area decreased significantly, with the data fluctuation increasing.
The impact toughness was higher, and the data fluctuation of impact energy and shear area was smaller for surface specimens.
The reduction of X80 pipe material is the smallest, the 50% FATT transition temperature of 18 mm thickness specimen is -48℃, and the 50% FATT transition temperature of 30 mm thickness specimen is -40℃.

Sensor registration is a prerequisite for successful multi-sensor data fusion [2].
A least squares fusion of multiple radar data.
An exact maximum likelihood registration algorithm for data fusion.
New least squares registration algorithm for data fusion.
Ill-condition and registration of system error estimation in data fusion systems.

Given data set X=｛x1,x2,x3,…xn｝，each element of X is with S attributes.
This study is based on the modeling tool of matlab R2010a, the load data of a certain automobile manufacturing enterprise in April 2013 and June-August 2013 is selected as the cluster’s feature vector to analyze.
Data in total is 122 sets, divided into seven categories.
The overall load level of the third category is low, see from the data this category belongs to, this is not due to the power rationing, probably caused by equipment shift, maintenance, employee vacation, this part of load can be lowered at least 14000KW.
Forth, for the industrial enterprises with high load level and high load flexibility, utilities can implement DSB on them, which allow the users report their load reduction and the corresponding price.

Changes in physical, chemical, microbiological and sensory qualities of cooked crayfish (Procambarus clarkia) meat, treated at different freezing rate (-30˚C,CPF; -60˚C,ULTF; -196˚C,LNM), were investigated during storage at -20˚C for up to 6 months. pH value increased in all treatments with the sharp reduction after 3 months.
Total volatile basic nitrogen (TVB-N) increased with storage time, with the reduction of TVC and sensory score.
The increase of pH value of cooked crayfish meat were probably related with the enzymes but not microbes, because the microbes were rarely detected (data were shown in Fig 1-e.).

After H2 reduction, the catalytic activity of Ni/AC-Ad was observed in catalytic steam reforming of toluene and then gradually decreased with the reaction time.
After the same calcination and reduction procedure as above, the Ni based catalysts with theoretical Ni loading rate of 5 wt% were prepared and denoted as Ni/AC-Im. 2.3 Catalytic steam reforming of toluene.
Ni was detected at 2θ=44.7°, 52.1° and 76.8° in both Ni/AC-Ad and Ni/AC-Im after reduction, which was consistent with the research results from Liu et al [18], indicating that Ni(II) in Ni/AC-Ad prepared under alkaline condition was converted into Ni during the reduction process.
Fig. 7 XRD pattern of Ni/AC catalysts ((a) after adsorption; (b) after reduction; (c) after catalytic reaction) Combining TEM images of the Ni/AC catalysts with distribution histogram of Ni particles (Fig. 8), the average diameters of Ni particles for each catalyst in the histogram were calculated by the statistical data from five TEM images at different magnifications), it was found that the Ni particles were better dispersed on the Ni/AC-Im than that on Ni/AC-Ad.
(2) The Ni/AC-Ad after H2 reduction was observed to have certain catalytic activity in the steam reforming of toluene which gradually decreased with the reaction time.

Benefit is direct cooperation without requiring import and export data.
Several glass manufacturers provide optical data to the Windows operating system and Daylight Group of the Lawrence Berkeley National Laboratory [1].
Annual weather files contain typical environmental conditions for a particular site based on several years of measured data.
A common file format is the US Department of Energy’s EnergyPlus weather data format (*.EPW).
The Weather Data File configuration dialog allows select the range time period want to use to calculations.

The problem unmeasured is solved by both of the data from multiple view and data substitution.
At this point, you can replace most of the surface data which can not be obtained with the local surface data of groove bottom surface.
The cloud data of vortex inventory 3.2 Point Cloud Data Processing Using CATIA digitized shape editor to import the raw point cloud data, use feature points to multi-view-aligned block of data through the fine tuning function to unify all the points after the data into the same coordinate system.
After removing point cloud data which obviously does not need, the original point cloud data is relatively large and uneven distribution, in order to make the point cloud data distribution more reasonable and provide follow-up surface modeling with accurate data measured point cloud requires an appropriate reduction.
At this point, you can replace most of the surface data which can not be obtained with the local surface data of groove bottom surface.

Though sampling, 15G original data had been obtained.
(3) Set attributes of volume data, add transfer functions of color and opacity
In order to realize data exchanging between ReImpeller3D and grid processing, numerical simulation, CAE software and CAM systems, this program need matched data input, output interfaces, the data conversion interface of ReImpeller3D is shown in Figure 8 which can great expand its using range and versatility.
Object data acquisition in reverse engineering.
Data reduction methods for reverse engineering: Internation Journal of Advanced Manufacturing Technology. 2001, 17(10): 735~740

The mainly reasons for the scaling are the incompatibility between Cacl2 killing fluid and formation water as well as the pressure reduction around the wells.
According to the actual production data of Songnan gas field, the paper carries on research on the regular pattern of scaling in gas field to analyze and find the main cause of the scaling in gas well of Songnan.
From the data in table 2 can be seen, the main component of the scale is calcium carbonate.
Table2 The analysis results of the scale in Songnan gas well Sampling point Component analysis The proportion Scale on the drain tank vale from the gas treatment station CaCO3 ＞95% MgO little Scale on the wellbore from YS101 （Mg0.03Ca0.97）CO3 ＞98% SiO2 ＜1% The scaling study on different gas wellbore Table 3 is the produced water quality data from different gas wells.
Table 3 The water quality analysis data in different gas wells Well Number Cation(mg/L) Negative Ion（mg/L） Mineralization of Water(mg/L) Water Type pH K++Na+ Ca2+ Mg2+ Cl- SO42- HCO3- CO32- YP11 9725.91 8.86 0 3949.88 661.99 16347.31 911.6 31605.55 NaHCO3 7.49 YS101 1965.3 180.64 0 1078.69 83.69 3498.47 0 6806.79 NaHCO3 7.85 YP7 7034.16 4.43 0 5098.3 635.61 7752.33 662.98 21187.81 NaHCO3 7.75 YP8 1665.75 35.43 0 104.4 107.08 4213.22 0 6125.88 NaHCO3 6.73 YS1 1237.43 819.29 0 3219.06 187.88 100.65 0 5463.66 CaCl2 4.15 YP3 2528.05 4.43 0 1026.62 120.58 4803.08 0 8482.76 NaHCO3 7.01 Fig.2 The amount of scale in different gas wells and temperature It can be seen from the experimental resul in Fig.2, the amount of the scale has big difference in different gas wells.