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Finally, a new model was developed and implemented into the existing AOD process model for slag reduction with slag droplets.
Equilibrium constants can be extracted from literature data, while the activities of species are calculated based on solution models, leaving the reaction rate constant kf as the only unknown in the rate equations.
The validation results showed that the end composition of the steel bath after the reduction of slag was well-predicted by the model.
Fabritius: A mathematical model for the reduction stage of the AOD process.
Fabritius: A mathematical model for the reduction stage of the AOD process.

New Physical Effect Permits Factor-of-Ten Reduction in Energy Requirements for Cooling Danil B.
A revolutionary new technology for cooling and refrigeration, based on applications of nonlinear coupled oscillations to the atomization and evaporation of liquids, opens the way to order-of-magnitude reductions in the energy requirements for cooling and refrigeration in a wide range of applications.
Using detailed data from the laboratory prototypes, experts from the French industrial laboratory LAMI-ENPC and the Technical Center of AREVA made projections for the COPs that could be attained by optimized systems based on the new cooling method, arriving at much higher figures (right column of Table 1).
Analysis of experimental data obtained by measurements carried out on a prototype cooling apparatus, demonstrates that: (a) a large temperature drop occurs immediately within the reactor chamber itself, before significant evaporation has taken place, and (b) the evaporation of water droplets, exiting the reaction chamber, can account for only about 50% of the total heat energy lost by the air-water mixture in the course of the cooling process, i.e. for only half of the cooling effect.

The measures were designed based on available statistical data from 2012.
The extent of pollution reduction is a measure of the effectiveness of treatment devices as it determines what part of the pollutant introduced into the device is stopped in it.
It is likely caused by the fact that these sectors, in comparison to others, use huge quantities of water for production and have low effectiveness in the reduction of gaseous pollution.
Yet it is worth noting that in comparison to other sectors, the construction sector had the highest level of recycling in 2012 and the highest level of particulate air pollution reduction in 2004.
It is also characterized by a high level of gaseous pollution reduction, low percentage of landfilling of generated waste and low consumption of water for production purposes.

Range analysis of the relative importance of those four factors on the mean weight loss rate for the reduction of synthesized Fe2O3/Al2O3 with 50 vol% H2 indicated that the most influential factor was Ф, sintering temperature, Rw and ignition temperature in the descending order.
Generally, different phases were enclosed for OED method, which were identification of the experimental objective, design an experimental system, determination of the suitable factors and levels, selection of the appropriate orthogonal array (OA) and assignment of the factors at their levels to the OA; analysis of the experimental data and determination of the optimized parameters and finally verification of the optimal design parameters through confirming experiment.
And the reduction characteristics of the synthesized Fe2O3/Al2O3 composites by different methods with 50vol% H2 was shown in Fig.2.
Meanwhile, different from the single-step reduction for Fe2O3/Al2O3 (SGCS) with 50vol% H2, the reduction of Fe2O3/Al2O3 (SG) and Fe2O3/Al2O3(MM) were two-step reactions and bigger duration were thus needed to fully transfer the lattice oxygen inherent.
Reduction characteristics of Fe2O3/Al2O3 synthesized using different methods 4.

The energy data was collected using Grant SquirrelView 2020-1F8 Data Logger, a PC-linked data acquisition system.
Figure 5 presents the average value of CIS response data with one standard deviation.
SEC response data with average value Figure 5.
Distribution of CIS response data with one standard deviation RFM Analysis.
In Figure 4 and Figure 5, it is observed that linear lines can satisfactorily fit into both SEC and CIS response data.

Results obtained from the kinetics data were analyzed using the STATISTICA 6.0 software (StatSoft Inc., USA)
Experimental data were correlated with the Eq. (1) and considering the equilibrium values given by Eq. (2).
The average percentage mean relative deviation among experimental and correlated data was 7.5 %.
The average percentage mean relative deviation among experimental and correlated data was 6.4 %.
The average percentage mean relative deviation among experimental and correlated data was 5.8 %.

HUANG Yuanxiong HUANG [5] further simplified the method and put it contrasted with the monitoring data, finding it matches well.
Therefore the pile length reduction factor can be defined as Eq. 2.
There were few field monitoring data of bottom upheaval because of the difficulty of monitor.
Therefore, the upheaval of lattice column was referred as field monitoring data.
(3) The study of Shanghai Natural History Museum foundation pit showed that the bottom upheaval calculated by the correction method was more close to the monitoring data comparing with the upheaval calculated by method of residual stress.

This paper describes power reduction implementations inthe form of wireless data transmission along with real-time signal processing in the device, which are verified with three in vivo measurements.
During this period approximately 12 MB of raw data is gathered.
−2000 0 2000 Output [a.u]Accelerometer data (Implant) X Y Z −2000 0 2000 Output [a.u.]Accelerometer data (Receiver) X Y Z 0 1 2 3 4 20 30 40 Time [hours]Temperature [ ° C]Temperature Data Implant Receiver Fig. 5: (Top) 3-axis accelerometer data from the implant.
(Middle) 3-axis accelerometer data from the receiver.
It is equipped with a wireless data transmission and an optional real-time signal processing of the ECG data.

I: Experiment and Numerical Simulation Method Baisong Du 1, 2, a, John (Zhongguo) Ma 2,b, Ling Luo 1, c 1School of Civil Engineering & Architecture, Chongqing Jiaotong University, Chongqing,400074, China 2Department of Civil and Environment Engineering, The University of Tennessee,Knoxville,37996,USA abaisongdu@gmail.com, b zma2@utk.edu, c luoling28@qq.com Keywords: Honeycomb Fiber-Reinforced Polymer (HFRP), Sandwich panel, Reduction of moduli, Random Mesh Size Method (RMSM), Microcracking, Debonding Abstract.
Reduction of moduli and Random Mesh Size Method (RMSM) were employed to simulate microcracking between fibers and matrix and debonding between the core and face sheets, respectively.
In terms of equation (1), the reductions of the moduli in the longitudinal and transverse directions were 2.55% and 10.28%, respectively.
Due to the lack of testing data under low-temperatures, however, the quantification of the onset of interface delamination was not pursued here.
The method of reduction of moduli was introduced to simulate microcracks occurring between the fibers and matrix.

Then, QRS detection, modified HOAC, and DCT are utilized to extract features from preprocessed data.
The collected ECG raw data contain both low and high frequency noise components.
After preprocessing, the R peaks of ECG data were localized by using QRS detector proposed from [5].
Here, DCT was utilized to perform the dimensionality reduction.
DCT expresses a sequence of data points in terms of a sum of cosine functions oscillating at different frequencies.