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Therefore in order to increase dependability of receiving data, the system must continuously send out 255 frames data.
After receive a piece of data-frames, the receiver system will compute and check these data, if the outcome was right, then the ID code of some tire would be compared with the ID that was memorized in 8K-byte memory.
If the two ID matching, the data would be deal with and the relevant LED would light.
At last data-frames would be send out through the COM.
Set MC33594 LED flash Wait…… Receive data-frames ID accord？

Figure 5: Simulink block diagram model of Hexapod (full model is published in [12]) The thermal Simulink model is ready for simulation after step 7 when the input data (kinematic regime, external heat flows and ambient temperatures) are supplied.
If the calculation model is only supposed to be run “offline“, then it is sufficient to supply input data captured by data logging from real or emulated operational scenarios.
In this case, the input data are read out of the machine’s CNC during the operation in real time and are transmitted to the Simulink model.
Despite of experiment duration (approx. 9 h) and different kinematic regimes, one can observe good coincidence between calculated and experimentally logged data.
Rommes, Model Order Reduction: Theory, Research Aspects and Applications, Springer, Berlin, 2008

The topograph data were converted into rocking curves at each sampling position, and peak shifts (∆ω) and peak widths (wpk) were estimated as shown in Fig. 2c and 2d, respectively, by means of Gaussian fitting.
The topographic data were converted into rocking curves, and peak shifts (∆ω) and peak widths (wpk) were estimated at each sampling position [(c), (d)].
By using the fine ∆ω map data, with the core-region data excluded, we can estimate b from the linear fitting of ∆ω vs. y/(x 2+y 2).
Figure 5 shows the estimates of b, best, obtained with different data-exclusion radiuses (Rex).
The above results support the band-gap reduction and/or recombination centers as the main factors governing the cause of MB.

This paper divides China's 30 provinces (considering the availability of data, the study of the energy efficiency area didn’t include Tibet, Taiwan, Hong Kong and Macau) into eastern region, central region and western region, takes energy intensity as the index of energy efficiency, analyses energy efficiency from 1995 to 2010 in three regions.
Sources of Data The GDP data in this paper are from the “China Statistical Yearbook” and provincial statistical yearbook.
The energy consumption data are from the “China Energy Statistical Yearbook”. 4.
Data Analysis and Main Results 4.1 Analysis of Energy Efficiency.
However, some provinces focused on developing economy but ignored the work for energy conservation and emission reduction, so the energy efficiency rested on a low level, which brought about the within-region differences of energy efficiency in the western region fluctuated obviously and a general decrease on the whole.

The focus here is on PAS results that include positron lifetime (PL) as well as coincidence Doppler broadening (CDB) data.
Selected information from microhardness measurements, differential scanning calorimetry (DSC), smallangle X-ray scattering (SAXS) and electron transmission microscopy (TEM) are also included to guide and corroborate the interpretation of the PAS data.
The lifetime � obtained by the single component analysis is an effective parameter associated with this type of data treatment.
The discussion of the above PAS data, which is presented in the next section, will be also based on information gathered from the other experiments.
CDB data support the idea that after long exposure at RT the overlap of positrons to Mg is greater than in the freshly quenched material.

Figure 1: Key characteristics of Smart Grid Source: Infosys report on Smart Grid Table 1: Gap between today’s grid and smart grid Characteristic Today’s Grid Smart Grid Enables Consumer Participation Consumers are uninformed and non participative with the power system Informed, involved and active consumers – DR and DER Accommodates Generation/Storage Dominated by central generation – many obstacles exist for DER interconnection Many distributed energy resources with “plug and play” convenience – focus on renewable Enables New Markets Limited wholesale markets, not well integrated – limited opportunities for consumers Mature well- integrated wholesale markets, growth of new electricity markets Meets PQ needs for 21st Century Focus on outages – slow response to PQ issues PQ a priority with a variety of quality/price options – rapid resolution of issues Optimizes Assets & Operates Efficiently Little integration of operational data with asset management Greatly expanded data acquisition
As per this data, India will have the highest electricity consumption followed by Middle East and China in the years to come.
Blue Map Scenario The objectives of APDRP [10] were: · Improving financial viability of State Power Utilities · Reduction of AT & C (aggregate technical and commercial) losses to around 10% · Improving customer satisfaction · Increasing reliability &quality of power supply The APDRP programme has been restructured by the Government of India, in order that reliable and verifiable baseline data of revenue and energy in APDRP Project areas is attained over an IT platform and that AT& C loss reduction is achieved on a sustained basis.
The scheme comprises of two parts-Part-A & Part-B, Part-A of the scheme being dedicated to establishment of IT enabled system for achieving reliable & verifiable baseline data system in all towns with population greater than 30,000 as per 2001 census (10,000 for Special Category Status).
The focus for Part-B is on AT&C loss reduction on sustainable basis.25% loan is provided under Part-B projects and up to 50% of scheme cost is convertible to grant depending on extent of maintaining AT&C loss level at 15% level for five years.

Analysised turbulence characteristics of curved channel flow by the experimental data,and also compared the flow distribution of vertical,horizontal fluctuating intensity,get the conclusion.
Bend flow of a clear three - dimensional, therefore, at the time of study on bend flow, preferably at the same time get 3 velocity component in the data, on the basis of analysis can be without making any assumptions of bend flow movement.
Figure 2.2 Different frequency sampling Under point detection by comparing various frequency and average velocity and pulse values of knowledge, when the frequency in the 40Hz, measured point data amplitude measured more than 3,000 small, fitting linear slope almost to zero, shows measured data is stabilizing, combined with flow rate range setting, the end of this test instrument parameters determination for the sample frequency 40Hz, sample number 3,000, 30cms speed range.
Thus, we typically average time to process the measurement data.
Within the range of depth ratio, there will be "turbulent active area" , Vertical and horizontal turbulence intensity is douzeng this point the steep reduction phenomenon.

The blanks were cold rolled with a reduction rate of 30%.
The blanks were cold rolled with a reduction ratio of 30% on a laboratory rolling mill "KVARTO" model K220/75-300.
On the basis of the obtained data, a plot of the coherent scattering areas size’ dependence on the annealing temperature was constructed (Fig. 3) Fig. 3.
According to the recrystallization diagrams [14], the grain size in the AlMg1 alloy after rolling with reduction of 30% in the cold state and subsequent annealing varies from 30 to 50 μm, for the AlMg5 alloy from 40 to 70 μm, for the AlMg6 alloy from 70 to 120 μm.
The annealing leads to a reduction in the tensile strength, yield stress of the investigated alloys AlMg1, AlMg5 and AlMg6 in the interval 380 ... 420 ° C 2.

The experimental data for the membrane with PAN/DMF/TiO2 followed the Langmuir-Hinshelwood (L-H) rate form with a rate constant of 0.0253 min-1.
For 0.0008 mg/g AR, efficiency decreases from 90.14% down to 52.09%, with a 33.85% efficiency reduction after ten cycles.
For the 0.004 mg/g AR, the efficiency decreases from 94% to 30.19%, with a 67.88% reduction after the last cycle.
At 0.008 mg/g AR, degradation efficiency greatly reduced from 74.76% to 14.61% with an 80.46% reduction after 10 cycles.
The experimental data for the 14% TIPP/PVP membrane with PAN/DMF/TiO2 followed the Langmuir-Hinshelwood (L-H) rate form with a rate constant of 0.0253 min-1.

For linear elastic problem, the unknown parameter and measured value can be represented as the linear equation （1） Where, is the coefficient matrix of unknown parameter, is the array of unknown parameter, is the array of measured data.
The elastic modulus and the reduction coefficient are shown in Table 2.
Inversion results of the elastic modulus Group Elastic modulus （MPa） Reduction coefficient 1 31186 90.4% 2 30392 88.1% 3 29521 85.6% 4 28700 83.2% Fig. 3 The elastic modulus (group 1~4) Inversion results of effective pre-stress According to the monitoring deflections of the main section of the bridge in service at different time, four groups are considered.