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Around 7% of reduction in clinker production rate could be observed when replacing 48% of the coal energy input.
This figure is required to determine the reduction in clinker production rate when alternative fuels are used in the main burner.
This was done in order to find the reduction in production capacity due to the replacement of part of coal by MBM.
The overall heat transfer coefficient for the evaluation of heat loss through rotary kiln surface was kept constant in all cases due to lack of more accurate data.
This fits well with the 7% reduction predicted by the model simulation.

The XRD data were used for the structural refinement, performed by the Rietveld method.
The perovskite (Pe) phase amount and the lattice parameter could be obtained from the Rietveld refinement, and the data are shown at Table 2.
Structural data used as model in the Rietveld refinement for 0.9PMN-0.1PT perovskite structure, determined elsewhere in reference [21] and for pyrochlore phase (ICSD: 74328).
Collected data by the Rietveld refinement for the perovskite phase and sintering information about the sintered ceramic samples.
The representative data obtained from the sintering process are also demonstrated in Table 2.

Imagine now that we obtain the relative frequency shift by processing data from measurements for n vibration modes.
Automated recognition of damage location A histogram Y={Yi} is a graphical representation of non-negative data Yi corresponding to n bins, where i = 1…n.
The relative frequency shifts of all measured data for the four analyzed cases are calculated with Eq. 2 and included in Table 3.
Wenzel, The application of statistical pattern recognition methods for damage detection to field data, Smart Mater.
Tabrizian, Damage detection of skeletal structures using particle swarm optimizer with passive congregation (PSOPC) algorithm via incomplete modal data.

It is proved that the process of obtaining more objective data can be regulated by reducing or increasing the number of performance indicators.
Rasch model is widely used in education where the initial data are collected through test or survey results.
It is able to turn the measurements made on ordinal scales (in coded values of latent variables) into linear measurements and as a result qualitative data can be processed by quantitative methods.
The compatibility of the data from Form 1 and the Rasch model was determined by Pearson criterion.
The theory of latent variable measurement based on Rasch model is able to · save resources needed to conduct a self-assessment in an organization by finding an optimal combination of self-assessment indicators based on two main criteria: reduction of the number of indicators and reduction of their grades; · avoid difficulties that are often experienced by experts who are setting certain criteria in order to assess an organization in terms of its quality assurance activities.

BI versus compressive strength from a) Brazilian data (green balls); b) international data (red squares) [7] Fig. 3 shows the same tendency for Brazilian (Figure 3.a) and international (Figure 3.b) data: high dispersion of BI for low strength concretes, and lower dispersion for high strength concretes.
CI data calculated from benchmark are shown in Fig. 4.
Influence of BFS content on the CI for: a) Brazilian data; b) international data Fig.6.
Influence of BFS content on the BI for: a) Brazilian data; b) international data Fig.8.
Influence of FA content on the BI for: a) Brazilian data; b) international data Fig. 7, which analyzes the influence of BFS on BI, shows that there is no some important increase or decrease of BI from BFS content change.

Each of the rule sets produced are then evaluated on the original training data and on the test data.
The basic Genetic Algorithm Experiments Dataset In this research, 3 data sets from The UCI repository[16] and Bankruptcy Data [17] were evaluated.
Summary of data sets Data set Name Number of records Number of attributes Number of class +1 Number of class -1 Australian Credit 690 14 307 383 German Credit 1000 24 300 700 Bankruptcy Data 240 30 128 112 Accuracy calculation The performance of the proposed approach is analyzed using the accuracy of the classifier.
The technique generated random data called Bootstrap [19].
Due to ensemble techniques, there is a reduction of the bias problem that arises from the collection of data used in learning including the fixed set of parameters.

A hypothetical model of sulfur metabolism in M. cuprina was proposed on proteomic and genomic data, and proteins that involved in sulfur metabolism have been identified in our following studies.
Recently, a hypothetical model of sulfur metabolism in M. cuprina was proposed on proteomic and genomic data [3].
Coenzyme A dependent NAD(P)H sulfur oxidoreductase (NSR) was found firstly in several anaerobically growing archaea like Pyrococcus and Thermococcus, which with the S0 reduction activity depending on NADPH and coenzyme A [8].
The enzyme responsible for NAD(P)H-linked S0 reduction was characterized by biochemical approaches.

This information was used as input data into Solidworks software to simulate the heat distribution inside the building.
The temperatures of the bottom sides of the roof were obtained in loco in the analyzed residence and in a residence with similar characteristics, but without the GR, and constituted the input data for a Computational Fluid Dynamics (CFD) simulation, in order to obtain the average temperature difference between the internal and external environments of the buildings.
This information constituted the input data for the CFD simulation, carried out in Solidworks software, to obtain the average temperature difference between the internal and external environments of the buildings.
The main type of heat transfer to be used between the roof and the indoor environment was convection, in order to simplify the model and avoid inconsistencies in the results due to the lack of experimental data related to the set of materials used in the GR.
Exploring the reduction of energy demand of a building with an eco-roof under different irrigation strategies.

Constraints for voltage-reduced energy saving Motor efficiency factor The efficiencies of an induction motor running at the same load: (2) (3) Wherein Formula (2) is for the efficiency of light-load voltage reduction (LLVR) and Formula (3) is for that of light-load rated voltage.
Considering the changes in these two factors, according to Formula (7) we have the following conclusions: not all voltage reduction can achieve the desired purpose, and only when the degree of such voltage reduction is greater than that of the slip and power factor increasing, the operating efficiency of the motor can be improved.
Fig. 5 Voltage and current waveforms when no load at 20Hz Fig. 6 Voltage and current waveforms when voltage-reduced no load at 20Hz Fig. 7 Voltage and current waveforms when 30% rated load and voltage reduction at 20Hz By comparing Figure 5 and 6 it can be seen clearly that, in addition to the voltage and current phase angle changing, the line voltage Uab from the inverter and the motor phase current ia when voltage-reduced energy-saving no load, decline substantially compared with those at no load, achieving voltage-reduced energy saving and improved power factor under no-load condition.
The experimental data, without and with the LFES method, are shown respectively in Table 1 and 2.
Tab.Ⅰ The experimental results of motor running at different load without LFES Rated load factor Voltage / V Input power / W Efficiency / % Power factor 1 380 2865.42 85.5 0.81 0.8 380 1996.38 86.1 0.77 0.6 380 1563.05 74.64 0.68 0.4 380 1187.58 72.59 0.5 0.2 380 987.81 69.12 0.4 Tab.Ⅱ The experimental results of motor running at different load with LFES Rated load factor Voltage / V Input power / W Efficiency / % Power factor 1 380 2865.4 85.5 0.81 0.8 345 1990.59 86.5 0.798 0.6 315 1485.33 85.3 0.71 0.4 289 1089.27 83.1 0.62 0.2 268 825.36 80.2 0.55 From the experimental data listed in the two tables it can be seen that, when the motor runs in the vicinity of the rated load, with and without LFES, little change occurs in both its efficiency and power factor, which shows the energy-saving effect is not obvious; along with the rated load factor (a ratio between the load power and rated power) declining, its operating efficiency is gradually improved, also its power factor increases

By means of XPS software analysis (XPS XI-SDP Spectral Data Processor v2.3) and comparing the proportion of the peaks area, the relationship between Ca, O and P were obtained.
The resulting data is shown in Table 1, comparing with proportion of Ca and P in the initially used GC particles and in crystalline HAp.
Nevertheless it is important to note that C30 presents an increase in current density after extend immersion in SBF indicating some grade of weaken, while C10 shows a reduction in current density after 30 days of immersion in SBF (when compared with the sample C10 after 1 day of immersion) showing a better corrosion resistance or an area reduction due to the increase of deposits onto the surface.
Nevertheless C30 coating presents a reduction on its protective character, showing lower resistance when increasing immersion time..
This is in good agreement with the previously shown potentiodynamic experiments, where an increase in current density was observed for C30 samples while a reduction of current density was observed for C10 samples.