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The reduction of nitrate under acidic conditions (pH=2) was characterized by linear sweep voltammetry.
An Autolab Reference-600 (Gamry, USA) bipotentiostat with data acquisition software made available by the manufacturer (Gamry Echem Analyst Version5.50) was used for electrochemical measurements.
It was found that the peak potential for copper reduction in this electrodes system was about -0.3V.
Electroanalytical procedure of nitrate reduction.
The reduction of nitrate under acidic conditions was characterized by linear sweep voltammetry.

From the data in Fig.3, the gas consumption amount of cogeneration decrease with the improvement of equipment’s electricity generation efficiency in all of the running strategies. they are about two times in 20% electricity generation efficiency compared of that in 45% electricity generation efficiency.
According to Fig.5 data, even in 24 hours running strategy Case1, the waste thermal is only about 10 percent in 45% electricity generation efficiency of that in 20% electricity generation efficiency.
From the data of Fig.9, it can be found that the energy saving ratio of running strategy Case1, Case2 and Case3 are minus and it is only 4.3% in Case5 in (20, 60) efficiency performance.
Fig.10 shows the reduction data.
For (35, 45), Case1 gains best CO2 reduction and energy cost reduction and Case 2 gains the best energy saving.

The investigation is based exclusively on numerical data.
The method of data processing is also crucial.
The results (Fig. 3, Fig. 4) shows the localisation of damage modelled as a 90% stiffness reduction in one spectral element.
Firstly, damage as 90% stiffness reduction in one spectral element was considered (Fig. 4).
The reduction in their number will lead to reduction in the cost of the detection system.

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.

Introduction Aircraft drag reduction and environmental protection both are hotspot of current research, it’s an important part of the research that using wing tip devices to reduce drag of the wing.
The paper provided the aerodynamic benefit brought by winglets, in order to Indicate the important significance of winglet in energy saving and emission reduction, provide theoretical basis for airline decision-making.
Aerodynamic model The paper used CATIA to model surfaces According to the airfoil’s basic data, and then grid the model by using Fluent Pretreatment Software.
Fig.4 Mach number distribution on the upper surface of the wing added winglet(attack angleα=0) Fig.5 Maher number distribution on the upper surface of the original wing (attack angle α=0) The results are further processed such as shown in Table 3, the increase rate RL and drag reduction rate Rd defined as follows
[2]Tang Deng-bing, Qian Jia-xiang,in:The application and development of drag reduction device, edited by Journal of Nanjing University of Aeronautics & Astronautics,China (1994),in press

This matrix, made up of 2s block rows and N – 2s columns (being 2s the total data shift, see [7]), is partitioned into a past reference and a future part, i.e..
Moreover, they proved to be robust enough to the disturbance introduced, as it can be seen by a comparison between the data.
The experiments for the C-F beam dynamic response time data led to conclusions similar to those previously remarked (see Tables 3 and 4).
Damage distribution estimates gained by implementation of MDLAC algorithm on data obtained allowed to assess the two OMA techniques’ accuracy for damage detection purposes.
M., Messina, A., Detection of Structural Faults by Modal Data, Lower Bounds and Shadow Sites, Journal of Sound and Vibration, 210(2) (1998), 267-278

Rough Set theory is a new method to deal with the data.
The application of Rough Set theory could include machine learning, data mining, process control, data analysis, etc.
When the amount of data is limited and the analysis is in need, such as diamond polishing data mentioned above, Rough Set theory is an ideal way to carry out the analysis.
Data Process The initial data is represented as knowledge system, namely information table.
With the restriction of limited data, some useful conclusion has been drawn.

An NN-EPM 2-20-15-4 configuration has been constructed out of 100 training data and then validated by 30 testing data.
NN block, has a function to construct the NN configuration based on the training process carried out on training data.
The NN configuration that has been constructed represents a pattern of correlation between the input data and out data.
Next step is conducting the test on to the NN configuration resulted from NN block by employing the testing data.
The testing period is aimed at generalizing the trained NN-EPM configuration by employing 30 pairs of data.

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 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.