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Each of these modules interfaces with the user through dialog windows where the data necessary for computation are inserted by the keyboard, through pushbuttons selecting the various functions and providing the management of input-output files.
Life consumption 0.00364 [%] Fatigue life consumption 0.00289 [%] Creep life consumption 0.00075 [%] On the basis of the considerations expressed, there is an evidence of the interest, mainly of the plants manufacturers, to elaborate and to test algorithms to provide enough reliable data for the mechanical components.
The future sceneries are manifold; in the near future at least two of them may be foreseen: the former is the development of a methodical procedure for full testing of the Life Time Evaluator to discover any potential bug in the code and to create a data bank to cover all the main operation conditions (startups from cold, tepid, warm conditions, disconnections, partial load operations, ...).
The latter is the validation of the results through data taken in the field: this would make possible to correlate the evaluation of life consumption to the degree of damage to the turbine, enabling the prediction of the criticalities and of the defects that are expected to take place in the near future.
Processing the data provided by DOE according to the "response surface" method gives an indication about the areas of the "design space" where the probability of finding the best configurations is higher.

Also, in order to determine which phase of Li1.5Ni0.17Co0.16Mn0.67O2.5 is occupied by Dy3+ and Gd3+ ions on Mn site, the obtained XRD data were refined.
The data were corrected for the occupation of Mn sites by Dy3+ and Gd3+ ions in the LiMO2 (M=Ni, Co, Mn) and Li2MnO3 phases, respectively.
The refined data plots of Dy3+, Gd3+ ions in LiNi1/3Co1/3Mn1/3O2 and Li2MnO3 phases are shown in Figure 4 a, b, c, and d respectively.
All the refined data in this paper have Rwp less than 10% and CHI2 less than 2.
Introduction to rietveld refinement with X-Ray power diffraction data GSAS software, China Building Materials Press, (2016) Bejjing, China

Composition B5 indicates highest iron sorption rate at sintering temperature 1100 ºC and shows considerable iron reduction in a solution after one week.
Introduction Based on the data from European Commission, each year 16t of various raw-materials are produced per one habitant of EU.
Mineralogical composition of sintered glass-ceramic composites A5, B5 and Ek2 Crystalline phases A5 B5 Ek2 Al2O3 (corundum) + Fe2O3 (hematite) + SiO2 (quartz) + + + CaAl2Si2O8 (anorthite) + + + CaMg(SiO3)2 (diopside) + + Ca2Fe2O5 (calcium iron oxide) + Data obtained by XRD mineralogical analyses indicate that several crystalline phases were detected.
According to data obtained by XRD analysis the sintered pellets, which contains industrial waste, has the following crystalline phases: hematite (Fe2O3), and calcium iron oxide (Ca2Fe2O5) (Table 4).

An improvement average PT reduction of 12.486% is noted in comparison to evolutionary ACO-MVL algorithm.
Two set of experimental datum was generated using the analyzer.
Further reduction in synthesis can be achieved if the NZMDD can be reduced to its optimal size.
PT reduction using NZMDD over ACO-MVL for 4-valued MVL functions Minterm MVL Functions ACO-MVL [12] NZMDD (proposed) 16 500 6.73 6.3160 15 2679 7.054 6.1240 14 6589 7.163 5.8520 13 10585 7.182 5.7195 12 11230 7.086 5.4830 11 9003 6.904 5.2100 10 5434 6.66 4.7820 9 2575 6.356 4.6260 8 1038 5.934 4.4290 7 277 5.48 4.0940 6 75 4.96 3.9870 5 13 3.923 3.0770 Conclusion In this paper we have presented and evaluated a tree-like decision diagram.
The result depicts an improvement of 12.486% for reduction in PT for synthesizing 4-valued MVL functions compared to ACO-MVL algorithm.

In this work, we reported the evaluation of the “internal” resistivity found in high performance organic/hybrid solar cells based on data reported in the literature.
Overall, lowering of the “internal” resistivity correlates well with degradation in the device performance and can be put in the context of a reduction in the effective diffusion length of the photo-excited carriers.
To facilitate a comparison, we extracted the “internal” resistivity from data of several high performance organic/hybrid solar cells [1-4] and correlated their “internal” resistivity to the QE.
The data apparently fall into 2 groups: a) those that follow a linear relationship (Cell B-1; Cell A; and Cell D-2); and b) those that do not (Cell C and Cell D-1).
The circle highlights data that deviate from the linear relationship.

Through analyzed data of cast thin sections and scanning electron microscopy (SEM) data, analyzed the impact of main diagenesis on reservoir properties in Niuquanhu area.
Siliceous cementations have great effect on the physical property of reservoir, Quartz secondary enlargements make the degree of pore filling improving, reduction of porosity, throat narrowed, the percolation ability becomes poor, the reservoir becomes more tight (Fig.5).
The loss porosity evaluation map of compaction and cementation showed that almost all the data fall into the loss porosity of compaction area.

For the UAV monitoring and inspection data that are quantitative,the data are assessed and scored by the fuzzy AHP method,while for the extent of the data that are non-quantitative,the data will be directly assessed and scored according to the expert system.
Depending on the different kinds of the assessment content ,we take real-time monitoring , regular monitoring and artificial inspect to obtain these data evaluation.
The main manual inspection to the naked eye or a portable instrument bridges the apparent state of regular checks made to quantify the extent of the description of the data or status .
For manual inspection and other non- quantitative data , based on existing UAV system maintenance practices and expert described the results directly to quantify the extent of score draw assessment scores , as shown in Table 3.
Such as severe emergencies ( such as when recovering a large impact strength , strong winds task interference ) occurs , according to real-time data acquisition system , to assess the state of the UAV incident after incident assessment form reports.

The channel characteristics of wandering reach was analyzed, and then based on the measured data and model test data, the formation conditions, basic characteristics and influencing factor of the fluvial process law in wandering river were analyzed.
Materials and Methods The Lower Yellow River measured data between 1960 and 2008 are used in this article.
The verification tests have been done using the data of 1982, 1963 and 2001 after the model was built.
The measured data and model test data were analyzed and show that: (1) the degree of natural evolution is proportional to the variation amplitude of water and sand.
Conclusions The formation conditions, basic characteristics and influencing factor of the fluvial process law of wandering reach of the Lower Yellow River were analyzed based on the measured data and model test data.

An optimal agreement between FE results and experimental data was obtained for a friction coefficient of 0.2.
The material constants of the elastic-viscoplastic constitutive model were determined from a least-squares regression fitting of the compression tests data.
As shown in Fig. 2, a quite good agreement over two decades is observed between experimental data in compression and the constitutive model.
It can be remarked that the significant reduction of warping is obtained by using the routes BC and C; however the maximum warping is obtained with the route A.
However, in the case of PP a slight reduction of warping was observed as the extrusion temperature is increased [18].

This article mainly deals with thickness data de-noising via multi-scale wavelet.
Vertical axis is output data.
Threshold value judgment Data Output 7-Level Wavelet 3-Level Wavelet Data Input Fig.4 Diagram of static C frame structure and moving film Fig.5 Measured data As can be seen from the diagrams, the width of coating film is narrow and appears alternatively with lithium film.
When moving speed increases, the non-stability of output data increases and the length of data gradually decreases.
However, output data at different speeds are all within film thickness range 180-190μm.