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GC data was used to calculate conversion, selectivities and Anderson-Schultz-Flory (ASF) parameter for [4, 20].
Obviously there is a difficulty in showing the promoter effect on the conversion which will be explained when discussing the selectivity data.
FTS reactor runs data Catalyst CO conv.% α S% CO2 S% C1-5 Fe/rGO 95.4 0.30 37.9 62.1 Fe-K/rGO 96.2 0.27 34.8 38.0 Fe-Mn/rGO 82.6 0.29 37.3 44.6 The selectivity of the C1-5 range showed promising trends.
From Fig. 3(a) which shows C1-5 detailed selectivity data, it is clear that promoters severely decreased the CH4 selectivity which started at a high of about 37% Fe catalyst and fell to a low of about 20 % with Fe-K and Fe-Mn.
For complete reduction to α-Fe0, higher temperatures or more reduction time is required.

Although rhodium is very similar to platinum in chemical sense, by comparing these data with the ones published elsewhere [11], one may see that there is a considerable difference between rhodium and platinum deposits obtained in the same potentiodynamic way: while platinum builds microspheres imbedded randomly in the TiO2 layer [11], rhodium tends to spread over the whole surface of titanium support, in the form of a layer.
Along the potential axis, the region of hydrogen adsorption/desorption is clearly separated from the region of oxide formation/reduction, the transition potential being 0.0 V vs.
With a scan rate of 150 mV s -1, the current of oxide formation and reduction is between 12 and -12 mA cm-2, for a smooth Rh foil [17].
As a consequence of high surface roughness, the currents of hydrogen underpotential deposition are comparable to diffusion current of oxygen reduction in an oxygen-saturated solution.
Voltammograms in the region of O2 reduction, on Rh/TiO2 electrode in oxygen saturated 0.1 M NaOH solution, at rotation rate 5 cps (closed curve labeled by double arrows) and 10 cps.

The damage index structured by the ratio of mode shape and relative change in strain mode is represented as input data to identify the structure damage by means of PSO-RBF neural network.
The damage index structured by the ratio of mode shape and relative change in strain mode is represented as input data to identify the structure damage by means of PSO-RBF neural network.
And the output layer responds to the data of input layer.
The test samples are (1) 8% reduction in element 30; (2) 16% reduction in element 30, 13% reduction in element 50 and 8% reduction in element 90.
The damage index structured by the ratio of mode shape and relative change in strain mode is represented as input data to identify the structure damage by means of PSO-RBF neural network.

Multi-target Direction Measurement of Bistatic MIMO Radar Jingfang Wang1, a 1 School of Information Science & Engineering, Hunan International Economics University,Changsha, China a e-mail:matlab_wjf@126.com Keywords: bistatic radar, multi-input multi-output (MIMO), Direction-of-arrival (DOA), Direction-of-departure (DOD), Capon dimensionality reduction.
To solve this problem, the principle of bistatic MIMO radar signal model is in-depthly researched.By proposing Capon dimensionality reduction method, the two-dimensional directions of the dual-based MIMO radar are estimated, and computer simulation is to verify the effectiveness of the method.
Data received by the target launch to reach the receiver array can be expressed as the following expression: （1） which,and is m-th element in the launch of the array steering vector.
Bistatic MIMO radar Capon algorithm based on DOD and DOA estimation of dimensionality reduction algorithm main steps: 1) covariance matrix; 2) , ‘s (1,1) Each element of the K largest peaks are obtained by (7), which can be double base MIMO radar DOA estimates; 3) , by (9), ‘s (1,1) element of K largest peak are obtained, which corresponds to DOD estimates.
Pairs based on MIMO radar DOA angle and wave from the direction of estimates is discussed, and a dimensional reduction Capon algorithm.

Electrical data is analyzed and deviations in the ΔV signal are compared with defectivity observed by the optical surface detection system with UV-PL capability.
Reliable statistical data of the relationship between decreasing voltage and defect classification show good detection of triangles and several other defects in the epitaxial layers.
The data is collected on 25 wafers of 200 [mm] 4H-SiC with n-type SiC epitaxial layers.
Logarithmic distribution of defectivity with overlapping voltage leakage sites, see Tab. 1 for corresponding data.
The data from QUAD and UV-PL do not correspond one to one and UV-PL gives more detections.

Therefore, this paper proposes efficient feature selection model for gene expression data.
Related works Feature Selection based on Gene Expression Data: Correlation method is very easy and widely used in feature selection based on gene expression data.
The problem of small sample size and high dimension of gene expression data is solved by [9].
Huan, “Subspace Clustering for High Dimensional Data: A Review,” SIGKDD Explor.
Herwig, “Comparison of hybrid feature selection models on gene expression data,” in 8th International Conference on ICT and Knowledge Engineering (2010), p. 13-18 [4] Pádraig Cunningham, “Dimension Reduction,” Technical Report UCD-CSI-2007-7, August , (2007), p.1-4 [5] Jaeger J., R.

Data Collection and Analysis Data Collection.
Therefore, data was observed on March 17, 18 and ~19, 2010, which meet the requirement slight snow.
On the other hand, data in sunny weather was observed on April 22, 2010.
Observed intersection’s timing data was shown as table 1.
Observed data of vehicle’s starting loss time in sunny and slight sowny weather were listed in table 2.

(4) Analyzing different methods to obtain optimum design of crankshaft in terms of stress, weight and cost reduction.
The result obtained for the present design provides the theoretical basis and data support towards the optimization of the crankshaft in terms stress and weight reduction.
Therefore this hole can be drilled as far as possible in the geometry, to achieve appreciable weight reduction
So if we make minor reduction in the diameter, it will lead to weight reduction without making changes into the counterweights
Calculated data provides the theoretical basis for further optimization of crankshaft.

Keywords: Carbon dioxide; Solidification; Kinetics; Thermodynamics; Reduction emission.
The data are listed in Table 1. ③ Air ② CO2 ①NH3∙H2O (NH4)2SO4, CaCO3 or Mg(OH)2 and other less inorganic species.
Results and Discussion 3.1 Optimization of process That the two sets of data listed in Table 1 from an open and a closed system experiments, respectively, show that carbon dioxide reacts with calcium sulfate and ammonia to produce calcium Table 1 Data obtained from open system and closed system Partial pressure (MPa) 0.025a 0.05a 0.075a 0.025b 0.05b 0.075b CaSO4/g 86.13a 86.43a 86.13a 86.07b 86.02b 86.11b H2O/mL 150 150 150 150 150 150 NH3·H2O (35%)/mL 38 38 38 38 38 38 Reaction time/min 8a 6a 5a 6b 5b 4b CO2 volume/L 31.2a 40.2a 52.0a 11.2b 11.2b 11.2b CO2 gas solidification (%) 36% 28% 22% 100% 100% 100% a: open system data; b: for closed system data.
The data are recorded and listed in Table 2, respectively.
Data Vol. 51 (5) (2006) , p. 1788

The calculated result is in good agreement with the measured data.
Contours: measured data [3] and D [4].
Contours: measured data
The calculated orientations were similar and in good agreement with the measured data.
The calculated textures were in reasonably well agreement with the measured data.