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Computer 5.Data Capture Card 6.
All the sensors are connected to Data Acquisition System which will store the data in to the computer.
There is a reduction in peak heat release rate for EGR operation as shown in Figure 4.
This is due to the reduction in oxygen concentration by the replacement of CO2.
Around 25% reduction in NO emission was observed for B20 fuel blend with 30% EGR when compared to the emission without EGR.

Moreover, it provides many advantages, such as reduction of workers, cost benefits, time-savings, and reduction of health risks.
The application of remote-controlled water sampling is therefore useful for environmental field work, as it provides many advantages; such as reduction of workers, cost benefits, time-saving, and reduction of health risks [6].
Moreover, it provides many advantages; such as reduction of workers, cost benefits, time-saving, and reduction of health risks [3,5,6].
Moreover, it provides many advantages; such as reduction of workers, cost benefits, time-saving, and reduction of health risks.
For future work, this remote-controlled water sampler can be applied by matching up with water quality sensors such as temperature, pH, dissolved oxygen, total dissolved solids, electrical conductivity sensors, and design for store all water quality data is acquired on a memory card.

The reduction characteristics of Co3O4/SiO2, promoted by SEA, were investigated by temperature programmed reduction (TPR).
Temperature programmed reduction (TPR).
Measured ζ-potential data as a function of the pH for SiO2 (Davisil 646) and Co3O4 with a 0.1M KCl background (curves represent fit to equilibrium model – see text) –SiO2 model, - -Co3O4 model Table 1. pKa and pKb values for SiO2 and Co3O4 determined from model fitting of ζ -potential measurements pKa1 pKb1 a Davisil 646, SiO2 13.8 6.9 30 Co3O4 1. 7.4 4.8 16 2. 3.8 10.1 10.5 1Ka=K2; Kb=K1Kw Figure 2.
The activation energy for the reduction of Co3O4 to CoO in the platinum promoted catalyst is reduced to 50 kJ/mol and for the reduction of CoO to Co0 found to be 38 kJ/mol.
This markedly decreased the reduction temperature for both stages of the reduction of Co3O4 evidenced by the TPR measurements.

Preferably, the deformation resistance model is validated with experimental data, for example from tensile tests or laboratory mini-mills.
However, any data, limitations, figures and / or product windows mentioned in this article are solely used and meant for explanatory purposes and do not reflect the actual figures of any HSM or CSM at TSN.
Validation of these models is executed, if available, by means of: · laboratory data, e.g. tensile test, preferably at reasonably high strain rates; · data from laboratory mini mills; · historical plant data (if available) from previous trials and / or other hot strip mills; · comparing the results with relevant, well-known reference grades, e.g. comparison of a DP800 grade with DP600 and / or DP1000 grades.
This is due to the variation in incoming CSM gauge; e.g. 60 % reduction of a 6.0 mm incoming HSM gauge to 2.4 mm final gauge – 3.6 mm draft – is more demanding than 60 % reduction of a 3.0 mm incoming HSM gauge to 1.2 mm final gauge – 1.8 mm draft.
Rolling forces & powers required for new products, using properly validated material models with help of laboratory data, are usually predicted within ±10 % error margin and strip temperatures within ±10 °C.

The alloy with respect to the chemical composition is naturally doped Mn, W, V, which are well preserved in the preparation of the iron semi-finished product by direct reduction technology.
Elemental analysis data indicate a uniform distribution of iron, carbon, manganese, sulfur and phosphorus in the alloy.
The content of microelements of non-ferrous metals in the ore from the data of atomic emission analysis with inductively coupled plasma is given in Table 2.
After the corresponding ore dressing procedures, a direct reduction method was used to produce the ferroalloy, which was subsequently used as a charge for alloying.
Elemental analysis data indicate a uniform distribution of iron, carbon, manganese, sulfur and phosphorus in the alloy (Fig. 3).

Based on the precipitation and water discharge series data (1959–2008), and sediment load series data (1993–2008), the runoff and sediment discharge variation and its response to precipitation has been analyzed.
Fig.1 A sketch map of river network in the studied area and the Manan Gauging Station (MGS) Data and methods Datasets.In this study, the monthly water discharge data and monthly sediment load data observed at MGS were used to analysis change trends.
All hydrological data were provided by the Yunnan Hydrology and Water Resources Bureau.
The quality of the hydrological data was firmly controlled before its release.
The sediment load data used in this paper refer to suspended sediment.

Data reduction techniques applied to model responses of torque and speed will yield appropriate spectrums representative of simulated work cycle.
Block 2 concerns reducing the continuous raw response data.
These analog data are digitized by utilizing an A / D converter and stored on digital tape.
Digital data reduction techniques are used to obtain desired histograms of torque, speed, accumulated revolutions at specific torque levels, and equivalent stress cycles of specific torque ranges.
Simulation models can provide realistic response data.

Samples Data Selection and Description of Statistical Characteristics This paper chooses hot-rolled coil iron, which is in high demand in Real Estate industry of China, as sample and uses the data of price of hot-rolled coil iron from January of 2007 to December of 2009 to determine parameter.
With the large amount of data, SPSS software will be employed.
Therefore, multiple regressions is applicable for the data forecast in this paper.
The regression equation is obtained after reduction of unqualified variables
[3]Yu Jianying,He xuhong:Data Statitstics analysis and application of SPSS.Beijing: The People's Posts and Telecommunications Press2003(4).

The relative viscosity loss was calculated as the viscosity reduction △η=η0-η divided by the initial viscosity η0 given in percent.
The reduction of the kappa number and viscosity as a function of the electrolyte in the experiment is shown in Table 2.
The data seems to suggest that delignification approaches a plateau at temperatures from 45℃ to 55℃.
Fig.6 illustrates the change in kappa number and viscosity reduction with reaction time.
The data shows that the optimum pH value of the EMD-system is 4.5.

Processing and interpretation of magnetic data usually require information of total magnetization direction.
Introduction In mineral exploration, data processing and interpretation of magnetic data, such as reduction to pole, forward modeling and inversion, usually require known magnetization direction.
Test on synthetic data To test the CMD method, we designed a model composed of four distinct prisms.
And then we estimated the magnetization direction separately from data in each block by the CMD method.
Tests on synthetic data indicates that this method is reliable and effective.