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For the parametric method, GFRFs are calculated directly by nonlinear parametric models such as NARX (Nonlinear AutoRegressive with eXogenous input) model [6], which can be identified from measured input-output data.
This method leads to significant reductions in both the computational requirements and the mathematical tractability comparing to traditional Volterra model.
When the expected discrete frequency resolution and the maximum input frequency are given, the least data length N should be taken as 4M to avoid aliasing.
By using the equivalent kernel, the size of is reduced from to , which implies the significant reduction of computational requirements and store spaces in solving Eq.10.
By using multi-tone inputs and the higher order spectrum of input-output data, the generalization ability and the robustness of obtained model can be guaranteed.

In order to further explore the source of ore lead in the Shidi Pb-Zn ore deposit we projected its isotopic composition data points onto Zartman plumbum tectonic model diagram[15] (Fig.2).
The data points of one sample fall within the field of upper crust-source lead, and those of all the rest samples fall within the critical field of upper crust-source lead and subduction- belt lead resultant from mixing of upper crust-source lead and mantle- source lead.
That is favorable to the reduction of sulfates, thus creating a source of sulfur.
Preliminary sulfur isotope data of diagenetic and vein sulfides in the Lower Palaeozoic strata of Ireland and southern Scotland: Implications for Zn+Pb+Ba mineralization.
Carbon and sulfur isotope evidence for in situ reduction of sulfate in Nanisivik zinc-lead deposits, Northwest Territories, Baffin Island, Canada.

Analysis of experimental data was supported by an analysis of fuel injection and combustion characteristics.
Limited data have been published on testing Mustard biodiesel in diesel engines.
Inspection of data of Fig. 2 reveals that with biodiesel NOx emission was decreased at all loads.
Such a statement would be inconsistent with the data of Fig.1.
In this research extensive experimental data were obtained on fuel injection and combustion characteristics.

Offshore data show that hydrophone pressure measurement of high precision, and with a good frequency response.
By comparison with the theoretical model to some extent also verified the accuracy of data.
Results show that measured data and Kundsen curve fitting is better.
In situ test data obtained in coastal waters demonstrate the effectiveness of equipment and data processing methods.
The comparison of in situ data and normal mode hybrid model data, in which the wind speed is the only factor taken to be 12.1 Knots for a match considered in the model, and corresponding wavenumber and wave function calculated by KRAKEN[10].

The main mechanism of anti friction and friction reduction is that the composite powder will form a repair film on the surface of the friction pair during the friction process, and the repair layer can reduce the friction, compensate for the wear and play the role of resisting wear and reducing the effect of friction.
After the friction and wear test was completed, the sample was analyzed with JSM-6490LV SEM, and the surface composition was analyzed with EDX, so as to analyze the mechanism of the tribological performance change. 2 Results and Discussion 2.1 Analysis of Wear Resistance 2.1.1 Test Results and Data Analysis of Wear Measurement Tables 2 and Figure 1 show the wear loss of nanometer MMT/In additives in 45 # steel pairs with low friction in MMT: In ratio of 3:7.
From the above data, it can be concluded that the addition of MMT/In nanocomposites can improve the wear resistance of friction specimens to a certain extent. 2.1.2 Analysis of Anti Wear Mechanism Figures 2 and Table 3 respectively are the optical photographs of the surface of the friction specimens after 20h test and the SEM photographs after 40h.
The total amount of the special elements on the surface of MMI-4 sample decreased to 0.49%, because the wear process was faster than that of the repair process due to the addition of too many hard particles. 2.2 Analysis of Antifriction Performance 2.2.1 Test Results and Data Analysis of Friction Factor The friction coefficient of the friction specimens varies with time as shown in Figures 5 and Table 4.
The 3% added nano MMT/In composite powders have better friction reduction and wear resistance in the friction pairs of 45# steel in the lubricating system.

In this study, EEG data were recorded to analyze mental workload and EMG data to analyze physical workload when a worker was tasks in the production line.
In the present study, we measured EEG data and EMG data by means of Biofeedback instrument.
The video camera recorded data simultaneously.
Data collection and processing.
Guided by the EEG data and EMG data, we found the inadequacy of the design of original equipment and process, and we further improved the design.

Table 2 shows the results referring to Figure 1 and Table 3 shows the data from Figure 2.
Through the data obtained, we can see that adding pseudoboehmite promotes the reduction of the final deformation (50% for pure nylon [4], 42.8% for the composite; Table 2) and reduction of the flow tension (52MPa for pure nylon 6.12; Table 1, 30.88MPa for the nanocomposite; Table 2).
Figure 2: 3 points bending test Figure 2 shows the 3 points bending strength test of the pseudoboehmite-nylon 6.12 nanocomposite and Tables 3, the data of this analysis.
Figure 3: Pseudoboehmite scanning electron micrograph The x-ray diffraction data shows that the sample has the pseudoboehmite structure (Figure 4). 2θ Figure 4: X-ray diffraction data of the pseudoboehmite sample used for the production of the nanocomposite Tables 5 shows the results of HDT and Vicat analysis for the composites and pure nylon 6.12.
Conclusions Pseudoboehmite synthesized along the sol-gel pathway results in an increase of the elasticity module, reduction of final deformation and increase of flow tension.

(1) Thereby, x is the current time value, y is the correspondent value of the derivative major strain rate, and x and y are the average values in the data set.
Based on the consideration that the standard deviation measures the dispersion of data around an average value, a slope equal to two times and four times the standard deviation respectively is considered.
Even if the gap between the results depicted by the two procedures still be rather significant, the data dispersion by adding a slope of ±2σ is comparable with the dispersion data of the line best fit method, which presented a dispersion error of about 0.08 in case of tension-compression.
In both case the data dispersion is significantly improved in comparison with the unmodified coefficient of correlation method (figure 8a).
Key idea is to add a linear function to the major strain values dependent on the standard deviation of the data of the so called “correlation coefficient method”.

Hybrid LCA has been conducted to expand the system boundary by filling the gaps in traditional LCA data inventories.
Previous studies identified various parameters influencing variations in EE consideration such as methodological selection, primary and delivered energy, age of data, manufacturing technology, source of data, and completeness of data [5, 6].
Meanwhile, Crawford [3] also identified variation in top-down analysis due to homogeneity assumption, proportionality assumption, conversion of economic data to energy data, use of national average, capital equipment and sector aggregation.
The changes of EE and EC could be influenced by one or combination of the following parameters: system boundaries, method of EE analysis, geographic location, primary and delivered energy, age of data sources, sources of data, completeness of data, and temporal representativeness [5].
Crawford, Using Input-Output Data in Life Cycle Inventory Analysis, in, Deakin University, Victoria, Australia, 2004

Our preliminary data suggest that nacre proteins, when heated at 100°C in dry condition, degrade rather slowly.
Our preliminary data suggest that nacre proteins, when heated at 100°C in dry condition, degrade rather slowly. 2.
Proteomic data acquired on the insoluble matrix (AIM) of unheated (T0 II and T0 III) and heated samples (T1, T5, T7, and T10).
Note the general tendency to the reduction of the number of identified proteins (except T7) and to the reduction of the number of identified peptides per protein (right column). 4.
In addition, what the proteomic data show is that some proteins are more persistent than others, which suggest also a differential degradation of the proteins within the insoluble matrix.