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They revealed that the powders were HA, in agreement with those published in the literature and with the characteristic peaks consistent with International Centre for Diffraction Data (JCDS 2001) files for HA.
Thermal treatment at 900 ºC also resulted in a reduction of the lattice parameter “a” associated with the removal of chemically adsorbed water without significant change in “c” parameter as described in literature [7,8].
Ceramic modification with Nb promoted an increase in the size of “a” and a reduction in “c” with an overall decrease in the cell volume.
The incorporation of Nb altered the crystalline structure of hydroxyapatite, with an increase on the parameter “a” and a reduction of the “c”.
In addition, it led to a reduction in the average particle size and a higher densification of the powder after sintering.

Surface roughness data forms one curve in roughness vs.
Surface roughness data for all hexagonal wheels form in one curve, i. e., Curve (I) as shown in Fig. 2 (a).
Data of Ra for conventional wheel form another curve, i.e., Curve (II) in Fig. 2 (a).
(a) data of hexagonal wheels and data of conventional wheel.
In the present work for machining a magnesium alloy, Ra data formed one curve for all hexagonal wheels in spite of the different hexagonal size, and another curve for conventional wheels.

Fig.2 In-the-loop simulation based on the test bed of automotive steer-by-wire system When the driver turns the wheel in order to change the driving direction or angles, angle sensor will send the data to the industrial personal computer through the data acquisition card.
Parameter choice Parameter Value Parameter Value Steering wheel and column rotational inertia Jsw 0.39kg.m² rotational inertia steering motor Jm2 0.0087 kg.m² Damping factor of steering column B1 0.0021 kg.m²/s Retarding reduction ratio of mechanism on steering motor G2 16.5 Rotational inertia of the road feel motor Jm1 0.00061kg.m² Rotational inertia of the steering system Jw 0.042 kg.m² Damping factor on the road feel motor shaft B2 0.0017 kg.m²/s Damping factor between steering motor and bearing B3 0.0019 kg.m²/s Motor torque sensor rigidity of road feel ks 121Nm/rad Damping factor between steering mechanism and bearing B4 0.0032 kg.m²/s Retarding reduction ratio of mechanism on road feel G1 17 Torque amplification factor r1 9.8 Friction coefficient of pavement μ 0.85 transmission ratio of gear rack rs 13 Front wheel load Fw 4360N damping factor of steering system Bw 0.0023 kg.m²/s Simulation result is in figure 6.
On the one hand, this can support reliable data analysis of the automobile development, which is easy to select suited software and hardware.

Impact of urbanization Precipitation To sum up data of hydrological condition in Beijing[3], conclusions are obtained as follows： (1)the precipitation in urban is greater than that in suburbs； (2)the precipitations of areas in urban are great different between central district and scattered.
Catchment time （2） Where, is catchment time on ground surface；m is reduction coefficient； is length of pipes; is design velocity in pipes.
Reduction coefficient is decided by discharge mode. the figure of is decided by terrain slope and the coverage of ground ,which are mainly determined by material of ground.All the parameters above have low impact on the course of design.
When renewing the rainstorm strength formula, the different selection methods shall be adopted in accordance with the years of rainfall data.
Rainstorm return period parameters of Beijing are as shown in Table.2： Table.2 Rainstorm return period parameters of Beijing City parameters Data number C b n Beijing 10.662 8.842 7.857 0.679 40 （1）When the other parameters constant, the calculation were divided into two groups according to the general important and particularly important, with=3 and =5(=0.5~5 in order of importance).The trial calculation results as follows： = To determine the runoff coefficient, approximate values are adopted customarily.Regional comprehensive runoff coefficient and regional comprehensive runoff coefficient of urban are often put to use, as shown in Table.3 and Table.4[7]。

The device can measure biosignal from the patient and it can save data in removable storage.
All patients’ data are stored in removable data storage, which is used to post-analyse on your computer.
The state of the battery management also stores data and statuses on the data storage.
The digital part of the circuit operates microcontroller, data storage and external digital sensors.
Measured data match with theoretical calculation by Peukert's law.

Nevertheless, some limitations are also existed in this method: It is difficult to parameterize for some complex geometry shape of the object; Particularly, There exists some difficulties in conditioning well point data and simulation convergence judgment with iterative algorithm when large number of well point data conclude in the object.
It is critical to put the multiple-point data template (Fig1-a) into use to scan the training image (Fig1-b) and build search tree before modeling.
The data event is used to scan the training image for inferring the probability of the given data event.
When using data event exhibited in Fig1-a scan the training image displayed in Fig1-b, we can receive four replicates.
Fig.1 Sketch map of data event and training image a data event: It is a data event composing of five point made up of center point u and four data values along with their geometry configuration in which two (u2 and u4)are inter-channels and two (u1 and u3) for channels; b training image: It represents the horizontal distribution of channels(yellow color) and inter-channels(blue color). four circles inside the picture signify four possible replicates acquired through scanning the training image with data event.

The products from oxidation zone along with char then move into the reduction zone, where they undergo reduction reactions under high temperature and limited oxygen conditions.
As the gasification proceeds, products (char, gases and tars) from the pyrolysis zone descend through the hot oxidation and reduction zones transforming into CO, CH4, CO2, H2, and H2O, leading to significant reduction of tars in the process.
However, performance of the gasifier was evaluated using average of data collected during five experimental runs.
Possibilities for Future Research Arising from this study, other areas of possible future research interests aimed at expanding the scope of study, improving on data collection and measurement accuracy as well as examining the breadth of biomass suitability of the gasifier system have been highlighted.
Other areas of interest include integrating online syngas composition analyser to the gasifier system to improve data collection and measurement accuracy as well as process simulations to enable a better understanding of the downdraft gasifier system’s responses to various conditions.

It was pointed out that the new evaluation criteria would contribute to energy saving and consumption reduction of power enterprises.
The data of calorific value difference show in the fig. 2.
We consider that the current standard for calorific value difference between coal as received and coal as fired is too loose to make positive impact on energy-saving and emission-reduction of power plants.

If the switching frequency is high enough, we can write the discrete state equation: (3) Among them, , so, can solved by the type 3, and get into the data: (4) Composite control theory and design Fig.1 The block diagram of Repetitive Control and Dead-beat Control Figure 1 show the theory of the complex control system.
Figure of system simulation Fig 5 The repetitive simulation Diagram of sudden load reduction in 0.05s Fig 6 The Composite control simulation diagram of sudden load reduction in 0.05s According to the above analysis and combination with various parameters.
Simulation results are as follows:  Figure 5 and 6 for the sudden load reduction voltage and current waveform when only repetitive control and added to the deadbeat control.The output waveform will be aserious distortion only repetitive control when the load mutations,  only  go through a cycle can improved,output waveform is no obvious mutations while adding deadbeat. 

(a) 180nm (b) 90nm (c) 65nm (d) 40nm Fig. 2 LNA micrographs for each CMOS process Table 1 Power supply and dimension of each LNA CMOS Process VDD Size dimension 180nm 1.8 V 45×148µm2 90nm 1.0V 54×60µm2 65nm 1.2V 40×40µm2 40nm 1.3V 25×40µm2 With CMOS scaling, the core circuit size dimension is reduced from 6.6mm2 in 180nm CMOS process, to 3.24 mm2 in 90nm CMOS (50% reduction), 0.0016 mm2 in 65nm CMOS (further 50% reduction) and finally 0.001 mm2 in 40nm CMOS ( further 37% reduction).
Meanwhile, Figure 4 shows the data dispersion and variation summary of LNA gain and bandwidth in 40nm process, for each VDD value from 1.1V to 1.3V.