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Superior equipment - the computer when the call data is stored data package sent.
The program of data collection terminal gets data by the RS_485 bus, and collection terminal communicate with data center using Zigbee wireless sensor network technology, exchange data by network and data concentrator to control remote equipment.
The data field length of L: L is the number of bytes of data fields, the read data is not greater than 200, the write data is not greater than 50.
L = 0 indicates that no data field.
The data field DATA: send data encryption 33H, receive data reduction 33H.

To carry out the simulation, some crucial parameters mast have been defined, such as: the initial data, boundary conditions, as well as technological data concerning the sheets which were specified experimentally.
The material data about 3104 aluminium alloy were also introduced.
In the case of the initial thickness of 0.230 mm, thinning was the smallest - 0.218 mm (0.012 mm of reduction) and thickening was the largest and was 0.300 mm (0.070 mm of increase).
The change is caused by reduction in thickness of the material.
For the analyzed cases, an increase in plane condition of tensile stress at the bottom and reduction of thickness of the base material were observed.

The reduction of defects is essential for SnS with improved electronic transport properties.
The electrical activation energies Ea on going up and down in temperature were estimated to be 0.33 and 0.29 eV from the data.
Solid lines are the Arrhenius plot to the data.
The present data seem to be consistent with band model of CSP samples [7].
Heat-induced crystallization and structural change cause reduction of defect density.

From table 1, it is known that the density of 1.09 of the only large cage occupied hydrates is nearest to the measured data.
From Table 1, it is known that the potential energy reduction due to the occupation of the large cage is larger than that due to the occupation of the small cage.
The potential and enthalpy energy reduction due to the occupation of a single cage can be calculated by the Eq. 1:
Only large cages occupied 1.09 (0.027※) -2.5430 -2.1668 -0.03835 (-0.03117)* Only small cages occupied 0.90 (0.217※) -2.3804 -2.0380 -0.03375 (-0.02910)* ※: the error of the calculated density to measured data; *: the reduction of enthalpy From Table 2, it is known that the equilibrium pressure of the only large cage occupied hydrates is much lower than that of the only small cage occupied or all cage occupied hydrates.
Data 1991; 36: 68-71 [2] Lee H, Seo Y, Seo Y-T, Moudrakovski IL, Ripmeester JA: Angew.

By fitting the results of our calculations to the experimentally measured data, it turned out that the critical ratio, , has to be reduced by a coefficient .
The reduction of the matrix stiffness is accomplished by an additional compliance tensor, represented by its volumetric and deviatoric parts, and , given by [12]: (2) corresponding to the scheme of dilute distribution.
The correction coefficient , equal to 0.7, had to be employed for the reduction of in order to reach an agreement with the measured data.
The correction by a single coefficient ensures an excellent agreement of the predicted stiffness with the experimentally measured data.
Based on our experience, the stiffness reduction is coupled with the reduction of mortar strength.

Analysis on Strength Reduction Coefficient Strength reduction coefficient is the ratio of the residual bearing capacity of the compressive brace to buckling bearing capacity after the brace buckling in compression.
The strength reduction coefficients are average.
The relation curves between the reduction coefficients and the different slenderness ratios are shown in Fig. 5.
A new strength reduction formula of the compressive brace is proposed based on these data at 0.5%, 1%, 1.5% and 2% story drift level.
Strength reduction coefficient of the compressive braces curve At the same story drift ratio, the reduction factor increases with the increasing of the brace slenderness ratio.

They might present a better alternative for detecting both distributed and localised damage, but the calculation of their curvature and/or any characteristics involving derivatives from measured data can incur significant inaccuracies.
The smallest damage considered is 10% stiffness reductions and this increases to 50% reduction.
The idea of PCA is to transform the original multidimensional data to new vector variables c with a smaller dimension k, pk << .
PCA may have very advantageous properties especially when applied to categorical data since it decreases the inter-class variance in the same time increasing the between-class variance.
In the case of a large number of training data the 1-NN rule gives a rather low error probability, which is less than the error probability of the q-NN rule and is close to the Bayesian one.

With respect to data storage and cluster server processing, data aggregation in AMI network for secure transfer of energy user-consumption data must take cognizance of congestion control and user data privacy.
Firstly, aggregated metered noisy or fake data will not amount to exactly the aggregated real metered data due to the added randomness to each SM data.
This scheme is robust to data loss particularly during congestion scenario as it can prevent the leakage of the sensed data during data aggregation.
Once verified, the data image is then sent to the local concentrator for overhead reduction.
Figure 2 illustrates typical data flow in a secure data aggregation RTCA model.

These data underline a crucial fact: The optical attributes only offer a partial glimpse into the suitability of a given photocatalyst for solar energy conversion or environmental remediation application.
Comparison between the band-edges of selected semiconductors and the redox potentials for CO2 reduction.
GC data for the simultaneous evolution of CO and H2 from a platinized AgBiW2O8 suspension.
Figure 4 contains the data [7].
Rajeshwar, Photocatalytic reduction of divalent zinc and cadmium ions in aqueous TiO2 suspensions: An interfacial induced adsorption-reduction pathway mediated by formate ions, Electrochem.

Accordingly, a number of methods have been developed for the preparation of metal nanoparticles, such as chemical reduction [2, 3], photolytic and radiolytic reduction [4, 5] and gas evaporation [6, 7].
Yoshiteru Mizukoshi et al [12] have reported successful preparation of platinum nanoparticles by sonochemical reduction with surfactants.
The data were collected from 2θ = 16˚ to 90˚ at a scan speed with 0.8 and increment with 0.03.
The data(all curves) show that the diffraction peak at 2θ= 39.996°, 46.233°, 67.820°, 81.731°, and 86.289° well corresponding to [111], [200], [220], [311] and [222] planes of platinum NPs, respectively.
Comparing the data, it fully confirms that the iron oxide can act as a seed during the reaction if it is not big enough.