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Platinum, as a commonly used catalyst for oxygen reduction reaction (ORR) in MFC, has hindered the development of MFC as the result of its high-cost.
Three kinds of carbon powders with different grain sizes were chosen to prepare nitrogen-doped carbon powder (NDCP) as a low-cost catalyst for oxygen reduction in MFCs.
The electrons and protons are combined with certain oxidants, forming reduction products on the cathode.
Carbon-supported platinum (Pt/C) was the most popular used in cathode catalyst for oxygen reduction reaction (ORR).
Furthermore, be worth what carry was, the surface areas of the four powders were similar, which meant that surface area should be not the key factor of catalytic activity (data not shown).

Rely on the real-time traffic data which collected by the on-site testing equipments on the entrance ramp, the dynamic adjustment system can make sure of adjustable rate through controllers, which overcome the timing adjustment’s drawback that can not adapt to changes in traffic flow.
Data collection points are set up on the freeway downstream and the entrance ramp.
After the simulation and evaluation, the data obtained is processed.
Table 1 Analysis of simulation data under different reduction factor reduction factor 1 0.99 0.98 0.97 0.96 0.95 0.94 0.93 r(1)(veh/h) 600 546 492 438 384 330 276 222 Delay time (s) 188.78 193.25 188.35 192.74 191.95 190.64 188.54 194.72 Travel time (s) 195.55 200.01 195.13 199.51 198.72 197.41 195.31 201.49 Fig.4 Comparison of the system performance under different reduction factor From Table 1 and Figure 4, the adjustable rate under 0.98 times and 0.94 times the (it’s 492 veh/h and 276 veh/h respectively) can make system performance better, showing less delay time and travel time.
There are also some drawbacks in the process of simulation: for calibration of simulation parameters, data investigated is inadequate, there are some deviations on the evaluation of output data.

Average confidence indexes were obtained falling between 0.15 and 0.25 with 80% or more of the data points exhibiting a confidence index greater than 0.1.
Also the Vickers hardness data are characterized by a continuous increase from HV3=155 after the first pass to HV3=250 after the tenth pass.
The orientation scans shown in Fig. 1 were obtained using a cleanup procedure applied to the raw data.
According to this procedure, questionable data points that could not be indexed were replaced by neighbouring data points that could be indexed with sufficient confidence.
For example, Hughes and Hansen[3] have reported similar data, based on TEM observations on cold rolled nickel, with rolling reductions ranging from 70 to 98%.

The cold work to 75% thickness reduction of the as-annealed steel resulted in the hardness increase from 150 HV to 420 HV.
Cold work caused the reduction of the number of surface cracks and disappearance of IGSCC.
The average value was obtained from 8 data among 10 data neglecting the minimum and maximum values.
Tensile SSRT-DO8ppm SSRT-DH1.4ppm SSRT-DH0.4ppm Reduction in Area [%] Vickers Hardness [Hv] 0 25 50 75 0 20 40 60 80 100 100 150 200 250 300 350 400 450 Rolling Reduction[%] Tensile SSRT-DO8ppm SSRT-DH1.4ppm SSRT-DH0.4ppm Reduction in Area [%] Vickers Hardness [Hv] 0 25 50 75 0 25 50 75 0 20 40 60 80 100 100 150 200 250 300 350 400 450 Rolling Reduction[%] Fig. 3 Dependence of reduction in area after SSRT on the hardness of SUS316L.
Cold work caused the reduction of the number of surface cracks and disappearance of IGSCC.

Nd2Fe14B particles were obtained from mixture of neodymium oxide, iron oxide, boric acid and CaH2 by reduction-diffusion process.
Results and Discussions Figure 1 shows XRD data for different washing processes and its influence on phase transformation for obtained Nd2Fe14B product.
SEM microphotography of powders obtained after reduction-diffusion (a), washing with only water (b).
Lee, Fabrication of ultrafine Nd-Fe-B powder by a modified reduction-diffusion process, Rare Metals 25 (2006) 223-226
Choi, Influence of Ca amount on the synthesis of Nd2Fe14B particles in reduction–diffusion processes, J.

Efficiency Enhancement through Decision Support Based on Data Mining S.
a. s_aghvami@yahoo.com, b. htshandiz@shahroodut.ac.ir, c.jahedmr@iust.ac.ir Keywords: Data Mining, Clustering, Boiler, Operating Data, Efficiency Abstract.
Data Mining entrance to this field happened in parallel with the expansion of using DCS, Distributed Control Systems that provide data warehouses of the process operating data as historical trends or reports [8].
DATA PREPERATION We have implemented this idea on the operating data of a gas fired boiler serving a petrochemical company by providing 90 Tones per Hour 42 Bar pressure superheated steam.
The following processes on these data samples have been done, just as usual steps toward solving any other data analyzing problem: a.

Moreover, it is more suitable for the classification of low dimensional data dimensionally reduced by dimensionality reduction methods, especially those methods obtaining the low dimensional and neighborhood preserving embeddings of high dimensional data.
MNIST data set consists of handwritten digits 0-9 (60,000 training samples, 10,000 test samples).
Recognition rates (%) of several classifiers on MNIST data set (the dimensionality is reduced to 9 by LDA).
Although LPP is a linear transformation method, it doesn’t discover the globally linear structure of data set and preserve it in low dimensional space, but discovers the local neighborhood of data set and preserves it in low dimensional space.
Further, it seems that NN-LSRC performs better than SRC with the samples dimensionally reduced by several dimensionality reduction methods, especially those methods obtaining the low dimensional and neighborhood preserving embeddings of high dimensional data.

Then the noise reduction theory of sound barrier is introduced in detail.
The data shows that the noise produced by a car in normal driving is 80~90dB , and the traffic flow noise is close to 100dB(A) in rush hour[1].
(a) Settings of simulation condition According to the measured data, the vehicle flow of the main road is 1000 cars per hour, so it can be seen as line sound source.
The noise reduction effect of sound barrier is further reflected.
But the noise reduction effect is not as good as the figure 2(b) and 2(c).

To enhance the forming quality of pneumatic bulging for abnormity thin-wall pot and reduce such forming defects as severe wall thickness reduction and fold breaks.
Changing the friction factor μ respectively, the semi-finished materials have pasted the mould completely, and the simulation result data is obtained.
The chart shows that when pot wall thickness increases, the maximum reduction rate, the maximum stress value and the axial contraction all reduce.
Changing bulging pressure p respectively, the simulation result data is obtained as shown in Figure 5.
Fig.7 Fig.8 Fig.9 Fig.7 Experimental Test Specimen before and after Forming Fig.8 The Chart of the Cut Experimental Test Specimen Fig.9 Thickness Distribution Map of Simulation Test Specimen Taking 3 cut test specimen, and comparing the measured values of the pot wall thickness and the simulation data, the biggest error is smaller than 10%, the numerical simulation result coincides the test result well, which proves the feasibility of numerical simulation.

Reduction of NO by CO.
The data show lower level of CO oxidation on the rich side of the mixture.
Data are not available to show the real ability of this catalyst system in automotive application.
From the chemical simulation, the chemical kinetics mechanism of the catalytic converter’s catalyst system is modelled and subsequent NO and CO conversion data had been obtained.
NO and CO conversion data against different air to fuel ratio show that rich mixture favours NO reduction but limits CO oxidation.