Search results

Therefore, this paper firstly reduce various historical data associated with the load by attribute reduction algorithm of the rough set, and removing decision-making information which is not associated with the property.
In this paper the 2009 July 1 to August 20 (except Saturday and Sunday) of the historical data as a sample, and then fit 19 August 2009 and 20-day power load value, finally, August 21, 2009 and August 22 of the data as unknown data, load forecast, finally, the predictive value compared with the real values, and do the error calculation.
are the selected historical data for the paper input variables, in which d is forecast day, t is prediction time, means the actual load data of d day t time.
Build attribute value decision table based on historical data, in which .
As rough set deals with discrete data, discrete the continuous valued before attribute reduction.

Data collection is to laser scan, measure and get the 3D data of sample.
Data Collection Scan Mode.
At the same time, point group data management gets heavier because of too much data.
Then joint data and combine them into 1 file to get a complete point group data.
Figure 2(e) is the complete point group data after data alignment.

X-ray diffraction patterns of reaction products obtained by titanium thermal reduction method and carbothermic reduction.
Fig.4 shows the Ti4O7 sample obtained by carbothermic reduction.
The thermodynamic calculation data of titanium thermal and carbothermic reductions are compared, such as formula (1), (2).
As can be seen, the Ti4O7 powder from titanium thermal reduction is more homogenous, while that from carbothermic reduction already shows caking and micro-sintering.
Fig. 8 compares the representative cyclic voltammograms for carbothermic reduction Ti4O7 and titanium thermal reduction Ti4O7 film electrodes.

From the measured data for aluminum experiments on Gleeble-1500, Yuhua Kang established a material model to simulate rolling process on aluminum alloys, and analyzed the reduction, rolling speed and contact heat transfer coefficientps influence on temperature differ ence acr oss the thickness of slabs and flow str ess curvature.
a b e d c Fig.2 Metal strain field of difference reduction.
Reduction: a-5%, b-10%, c-15%, d-20%, e-25% Research on strain field.
Such as 20% for pass reduction to make the plate core metal obtain enough plastic strain.
Such as 20% for pass reduction to make the plate core metal obtain enough plastic strain

The N antibodies constitute a antibody group and data structure of each antibody can only have two value "1" and "0".
The reciprocal of the mean square error of test set data is selected as affinity function of immune algorithm[5]
In this paper randomly selected 500 groups of data as a training set, the remaining 69 cases as a test set.
The set of data of each case have total of 30 data including the average value, standard deviation and the worst value of 10 characteristic quantities of each cell nucleus in the sampling.
The 30 data of each sample are selected to build the BP prediction model.

According to Ayegba et al [2], the friction reduction is almost depending on the form of pipes.
It was shown that the friction reduction is lower in curved pipe flows compared to straight pipe.
The experimental data was fitted by Casson model presented by the following equation [21, 22]: τ=τ0+2γη∞τ0γ.
Abubakar , Drag reduction with polymer mixtures in pipes of different diameters.
Sasmito , Pressure loss and friction factor in non-Newtonian mine paste backfill: modelling, loop test and mine field data, Powder technology. 344 (2019) 443-453

This paper describes an investigation into the reversing process of H-beam using MARC software and compares the results with rolling data from the production line.
The influence of rolling reduction, the reduction rate between the web and flange are also discussed.
The rolling forces of all-passes obtained from the FEM analysis were compared with the forces recorded in the process data acquisition system (shown in Fig. 2).
The reduction rate between web and flange was adjusted by keeping the web reduction and changing the flange reduction.
For example, the theoretical rolling reduction is 7mm but the actual rolling reduction is 23.2mm.

We are presenting a feature based mapping procedure applied on data reduction to the relevant information used for autonomous navigation.
This is why data reduction becomes an important factor excluding any possible shape dissimilarities of the mapped area.
The reduction of data becomes consistent when clustering points into linear segments.
(2) Until reaching the final map structure data reduction is done in two steps.
A scan matching method assumes that generated lines can be compared and matched together within the map manager similar to the way of the data reduction.

Table 1 The property and composition of the heavy oil Item Data Viscosity [Pa·s, at 50˚C] 25.306 SARA Composition [%] Saturate hydrocarbon 31.9 Aromatic hydrocarbon 19.3 Resin 43.8 Asphaltene 5.0 Elemental Composition [wt%] C 81.2 H 13.7 O 1.26 S 0.28 N 0.95 Static experiment.
The ratio of viscosity reduction was calculated by the following equation: △η=（（η0-η）/η0）×100, where△η (%) is the ratio of viscosity reduction, η0 (mPa·s) is the oil viscosity before reaction, and η(mPa·s) is the oil viscosity after reaction.
It shows that the viscosity reduction rate was over 75% at 200˚C with the reaction time of 24 hs, and catalyst accounting for 0.3wt%.
Table 3 Experimental data of steam huff and puff cycle of steam huff and puff Without catalyst With catalyst cumulative oil production [ml] oil recovery [%] ∆η [%] cumulative oil production [ml] oil recovery [%] ∆η [%] first 2.42 3.70 47.7 5.55 8.50 76.3 second 1.53 2.35 43.7 2.81 4.30 87.6 third 1.12 1.71 38.3 2.07 3.17 84.7 fourth 0.67 1.03 35.5 0.81 1.24 81.3 fifth 0.42 0.64 32.4 0.40 0.61 74.4 total 9.43 17.82 Composition changes of the oil samples after reaction.
The laboratory experiment shows that the viscosity reduction ratio of heavy oil is over 75% at 200℃, 24 hs, 0.3 % catalyst solution.

Selective catalytic reduction of NO by hydrocarbons (HC-SCR) was extensively investigated as a potential way to remove NOx from oxygen-rich exhausts[1,2].
As reported in the Ref[14], complete combustion of C3H6 was the main reaction during the reduction of NO at higher temperature.
Considered comprehensively, more active sites are presented for the reduction of NO on the AgZr/Al catalyst.
Fig. 2 NO-TPD profiles of different catalysts Table 2 NO-TPD data of catalysts Sample Initial temperature (oC) Summit temperature (oC) Peak area(mV·S) AgZr/Al 100 325 617 198 426 728 17843 4894 4963 AgLa/Al 88 / 660 181(shoulder peak) / 751 24505 / 2718 AgFe/ Al 82 275 677 148 425 751 11380 4413 2241 AgCe/Al 90 306 660 178 447 751 15608 3639 8253 O2-TPD Fig. 3 O2-TPD profiles of various catalysts Table 3 O2-TPD data of catalysts Sample Initial temperature(oC) Summit temperature(oC) Peak area(mV·S) AgZr/Al 110 552 273 750 20671 10469 AgLa/Al 125 571 319 750 17787 7620 AgFe/Al 130 588 325 750 19091 11085 AgCe/Al 118 591 312 750 17041 7658 O 2-TPD measurements were employed to investigate O2 adsorption of the samples, and the results are shown in Figure 3 and Table 3.
This indicates adding ZrO2 increases the amount of crystal lattice O, which favors the high activity of NO reduction [20].