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The actions of researchers and designers in this scope have concentrated on effects in the form of toxic compound emission reduction while maintaining a high efficiency of mechanical or electrical energy acquisition.
The injector control module applied at the test stand is equipped with a data acquisition system enabling the measurement of current changes at the electric valve coil.
The conducted tests showed a high consistency of signals recorded by the data acquisition system built into the Drivven module with the actual current values recorded by the oscilloscope.
The results obtained from tests at the laboratory stand show the consistency of data acquired directly from the injector controller and from an independent measurement chain.

These proposals showed that the cluster dopants and the co-dopants had the marked effects on the reduction of ionization energies and the increase of carrier concentrations, compared with that of the corresponding single dopant.
A few papers present a comprehensive list of ground state ionization energies for impurity elements, but they do not cover the data of ionization energies for almost all impurity elements at a variety of lattice sites such as substistutional site and interstitial sites.
For the column XIV elements, C, Ge, and Sn, the calculated and experimental results are in a good agreement that they are the isoelectronic substitutional impurity elements, except Pb due to a lack of an experimental data.
LANDLT-BORNSTEIN, Numerical Data and Functional Relationships in Science and Technology, Group III: Crystal and Solid State Physic, Vol.22, Semiconductors, Subvolume b, Impurity and Defects in Group IV Elements and III-V Compounds, M.

TABLE 1 GRADING DESIGN OF ALL NATURAL AGGREGATES AC-20 MINERAL AGGREGATE Items Data Particle size(mm) 26.5 19.0 16.0 13.2 9.5 4.75 2.36 1.18 0.6 0.3 0.15 0.075 Pass rate of 1#(%) 100 77.5 64.0 42.6 16.9 1.5 0.2 0 0 0 0 0 Pass rate of 2#(%) 100 100 99.0 91.6 56.0 5.6 2.4 2.0 1.5 1.3 1.1 0.6 Pass rate of 3#(%) 100 100 100 100 99.6 78.6 22.1 15.8 10.2 7.1 5.2 3.3 Pass rate of 4#(%) 100 100 100 100 100 97.2 69.2 48.1 31.1 15.0 10.0 5.0 Ore pass rate (%) 100 100 100 100 100 100 100 100 100 100 100 93.8 Material1#：40% 40.0 31.0 25.6 17.0 6.8 0.6 0.1 0.0 0.0 0.0 0.0 0.0 Material 2#：18% 18.0 18.0 17.8 16.5 10.1 1.0 0.4 0.4 0.3 0.2 0.2 0.1 Material 3#：6% 6.0 6.0 6.0 6.0 6.0 4.7 1.3 0.9 0.6 0.4 0.3 0.2 Material 4#：32% 32.0 32.0 32.0 32.0 32.0 31.1 22.1 15.4 10.0 4.8 3.2 1.6 Ore：4% 4.0 4.0 4.0 4.0 4.0 4.0 4.0 4.0 4.0 4.0 4.0 3.8 Fig. 1 Grading design of all natural aggregates AC-20 mineral aggregate Rubber cement stabilized macadam base contraction performance test Drying shrinkage mechanism
Volume reduction caused by water evaporation, hydration, temperature decreases and other factors in the base of stable inorganic binder material is called shrink of stable inorganic binder material base.
Results and analysis of shrinkage test Shrinkage strain variation with time Fig.2 and Fig.3 are made to analyze by taking the same time interval (1day) and excluding the test data of last day.
Water loss rate variation with time Similarly, we take the same time interval (1day) and exclude the test data of the last day.

Size and average boundary misorientation measurements of subgrains within texture components like Cu, S, Bs, Goss and Cube after annealing at elevated temperatures were obtained through extensive post-processing of EBSD data.
The two high purity alloys were cold-rolled 95%, equivalent to a strain ε = 3, while the commercial purity alloy was deformed slightly less at a reduction of 92.5%, i.e. a strain of 2.6.
EDAX TSL OIM Data Collection 5 was used for indexing, while a novel method combining image processing and post processing in EDAX TSL OIM Analysis 6.1 software was used for measuring the subgrain sizes and average boundary misorientation on reconstructed subgrain maps with fully closed subgrain boundaries.
The following texture components were observed: Copper 112111, S 123634, Brass 011211, Goss 110001 and Cube 100001 and both the initial subgrain sizes and average boundary misorientations correlated well with corresponding data in the literature [3,5,6].

Due to the grain itself is a living organism, constantly engage in life and biochemistry movement, so as to consume the nutrients of grain particles in the process of grain storage; and at the same time, insects, mold, mice and sparrow in the grain bulk ecosystems also will do harmful it and cause the food reduction in the storage.
A reasoning by people who can use knowledge which can express accurately or known complete data is determined reasoning, generally this reasoning reach conclusion which is also correct and reliable.
Data analysis: according to the detection parameters, season, and weather condition of each granary does comprehensive analysis and draw relevant conclusions to guide to take measures to ensure the security of grain storage by an integrated reasoning analysis.
Inference Model 3.1 Uncertainty Knowledge Presentations In WESS, early-warning decision knowledge of security often can't be measured by conventional accurate data, or can't be described accurately.

., Analysis of experimental data on the behaviour of steel S275JR–Reliability of modern design. 
The BRB tested by Palazzo et. al [8] was used in this study and the experimental data was used to validate the model.
CPD and safety zone Conclusions The main conclusions are summarized as follows: 1) The hysteresis loop from the numerical model presented in this paper fitted well with the experimental data. 2) The OOP loading reduces the energy dissipation ability of BRBs.
When the magnitude of OOP loading was half of the INP loading, the CPD value is reduced by 5.7% compared to INP loading only; when the magnitudes are equal, the reduction is about 15%.

One possible explanation for this reduction in heat transfer is the fact that the viscosity of the nanofluids as prepared in this study was much larger than that of the dispersions used by Wang et al. [8].
The results from the calculation of several Nusselt correlations were compared with the measured data.
Experimental Results and Discussion Calibration of experimental system In the heat transfer experiments, the voltage and current from the power supply were recorded, and the temperature readings from the seven thermocouples were registered using a data acquisition system.
Please note that this correlation is a framework on which future correlations can be built over a wider range of parameters when experimental data becomes available.

Fig.4 Two typical fitting curves with experimental data of EIS from (a) bath 1.
The typical fitted curves, obtained through Z-View program (an EIS data analysis software), are given in Fig.4 which can preferably fit the EIS experimental data of each case for bath 1~5.
(3) With the addition of TX100 (bath 2), TX100＋additive A (bath 3), TX100＋additive B (bath 4) and TX100＋additive A＋additive B (bath 5), the limit diffusion current density of Sn2+ reduction is decreased successively and the ΔE and R are obviously enhanced showing an increasing barrier force for tin electrocrystallization, which can be ascribed to the effect of synergetic adsorption of composite additive and is very beneficial to result in a fine-grained and smooth matt tin coating.

However, lately there have appeared a lot of experimental data, showing that a mechanical behavior typical for SP manifests itself on other different materials as well: large grained polycrystals, single ocrystals, amorphous alloys.
The available experimental data make it possible to regard SP as an alternative to fracture in the course of deforming, when an optimum kinetic correspondence is reached between the processes resulting in deformation, on the one hand, and preventing from fracture, on the other hand.
At small stresses their decrease correlates with the reduction of grain boundary role in deformation with respect to intensity increase of grain growth in the process of creep.
It follows from the above data that in order to realize SP it is necessary to observe a kinetic correspondence between the processes resulting in deformation and the ones of the structure reconstruction, contributing to relaxation of stresses, as well as a dynamic activity of structure elements responsible for crystallization in the field of mechanic stresses.

In order to provide power performances based on an uniform methodology that will ensure consistency and accuracy, wind and rotor data sampling were based on the bin method [7] [8] [9], which is outlined in the IEC 61400-12 standard [10].
In the present case, data were grouped using bins of 0.5 m/s size.
Transmission between rotor and electrical motor was held by a pulley, allowing a reduction of motor angular velocity of 5:1.
Data were sampled at 1000 Hz.