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However, even if some data which indicate that Al has an influence on the stress levels and the dynamic softening kinetics have been reported [[] E.I.
Fig. 2 shows the fractional softening experimental data obtained for the three steels studied at different deformation temperatures and pass-strains.
In all cases the experimental data could be fitted to an Avrami type equation of the form: (1) where X is the fractional softening corresponding to a time t, t0.5 is the time to reach a 50% fractional softening and n is the Avrami exponent.
According to the results shown above, the mechanical softening data determined for the C2Mn2Al2 steel at temperatures of 1000ºC and 950ºC cannot be considered representative of static recrystallization occurrence.
The significance of the retardation exerted by Al addition in this range of compositions is better appreciated taking into consideration that according to the data obtained in this work the retardation exerted by 1%Al would be equivalent to that exerted by 0.026%Nb addition, and that exerted by an addition of 2%Al equivalent to 0.05%Nb addition.

The exponential fitting performed on the measured intensity data gives the spot lifetime of 260 days for 30W, a reasonable lifetime for various applications.
Since the measured beam count at a given blade position is proportional to the integration over the exposed portion of the source, the source profile can be reconstructed mathematically from the scanned data.
The spot position change causes the incident X-rays to deviate from Bragg’s angle, resulting in a flux reduction.
The ray-tracing simulations are performed to compare with the measured data.
The simulated data and the measured data are in good agreement.

The data obtained from the PSQI scores were analyzed using the Wilcoxon Signed-Rank Test (significance level < 0.05) due to the non-random nature of the sampling method, which precluded the use of parametric statistical techniques.
The data was processed with the help of SPSS software.
This is evidenced by a reduction in the severity levels of the subjects, as indicated by a decrease in pre-test to post-test scores measured using the ISI and PSQI scales.
The detailed comparison of the score data is presented as follows.
Data of Measurement Comparison Values Description PreTest Post Test Mean Standar Deviasi Min-Max Mean Standar Deviasi Min-Max ISI 18,17 4,26 13-23 15,33 4,13 10-20 PSQI 15,33 4,37 10-21 10,50 5,01 5-17 Table 1 presents the comparative data of average values from pre-test and post-test measurements of ISI, PSQI, and sleep efficiency.

The rate of greenhouse gas (GHG) emissions reduction relative to 1990 to be achieved during the period of 2008 to 2012 was set at 6% for Japan.
In order to propose effective energy saving methods for residential buildings, it is very important to have a national-level database which contains detailed and comparable energy consumption data in households.
Special instruments were used to measure the consumptions of electricity, gas and kerosene, while data loggers with temperature sensors were used to measure indoor air temperatures.
The temperature and humidity data loggers, which were set in the air-conditioned and non-air-conditioned rooms at the height of 1.1m above floor, record the data every 15 minutes.
Energy data of total energy consumptions were analyzed in more detailed.

In further studies, reduction in partial discharge inception voltage and poorer resistance to electric tree aging in cryogenic temperature has been found for some dielectric materials [4-6].
DC heater G-M cooler heating cooling test platform transmission of heat by contact temperature sensor LabVIEW platform data acquisition unit(DAQ-2204) signal amplifier signal transfer into voltage temperature data storage display of temperature data acquisition unit(DAQ-2204) N Y PID temperature control cryogenic electrical characteristic test reach the preset temperature Fig.1.The schematic diagram of the temperature control system According to Fig.1, temperature signal, which is sampled and transferred into voltage signal, is sampled by data acquisition unit through amplifier and filter; After being A/D conversion, voltage data are collected by upper computer and displayed as temperature value.

Several methods have been used to calculate the MFB which are mainly from the cylinder pressure-time history data.
Heywood, Estimating Heat-Released and Mass of Mixture Burned from Spark-Ignition Engine Pressure Data, Combustion Science and Technology, 54(1987)133-143
Heywood, Heat Release Analysis of Engine Pressure Data, SAE Technical Paper 841359 (1984)
Hamama, Two-Zone Heat Release Analysis of Combustion Data and Calibration of Heat Transfer Correlation is an I.C.
Emtage, The Calculation of Heat Release from Engine Cylinder Pressure Data, SAE Technical Paper 981052 (1998)

It has been unknown the memory device receive the signal input form from another circuit,therefore the digital data get distorted by adding delays in the signal like low voltage signal levels, slow rise and fall time,or another influence.
In previous invention is had been mentioned the input buffer configured to receive data and pass the received data to the another circuit in a whole circuit like random access memory circuit [5].
The discovery was invention using the input buffer circuit [6,7] more talk about discuss about the input circuit as a reduction of the currents entering the whole circuit.
If the input buffer does not “slice” the data in the correct position, timing errors can occur [2].
Timing Errors in generating digital data [2] In this paper using propagation delay method to determine the quality of an input buffer.

In Paper [7] it had been proposed that detecting sharp changes in image brightness is to capture important events and apply an edge detector to an image that may significantly reduce the amount of data to be processed and may therefore filter out information that may be regarded as less relevant, while preserving the important structural properties of an image.
Transferring a 2-D pixel array into statistically uncorrelated data set enhances the removal of redundant data, as a result, reduction of the amount of data is required to represent a digital image.
-Molina, “The Evolution of the Web and Implications for an Incremental Crawler,” Proceedings of the 26th International Conference on Very Large Data Bases, pp. 200 – 209, 2000

Introduction The transfer alignment is a technology of alignment an inertial navigation system (called slave INS) using the data supplied by another precise INS (called master INS).
The simulation results are described as follows: Figure 4 is the estimate curve and estimated error curve of fixed misalignment angle, Table 1 is the corresponding data.
The results are expressed as follows: Figure 4 is the estimate curve and estimated error curve of fixed misalignment angle, Table 2 is the corresponding data.
The enhancement of sea condition and the reduction of the measurement noise can make the filter converging faster and more precisely.
(a) (b) Fig.3The estimate and estimate error curve of fixed misalignment angle Fig.4The simulation curve under different sea condition (a) (b) Fig.5　 The simulation curve Table 1　The simulation data under different sea condition estimate errors() Confused sea Calm sea x axes -27.2079 -229.3472 y axes 15.9580 -126.5467 z axes 26.8588 -67.5000 Table 2　The simulation data estimate error() High measurement noise High measurement noise x axes 38.8230 15.5682 y axes 19.6587 16.2565 z axes 33.2877 22.2574 References [1] Kain J E, Cloutier I R, Rapid Transfer Alignment for Tactical Weapon Applications, AIAA Guidance, Navigation and Control Conference, 1989

Other works numerically and experimentally, utilizing a neural network to determine the approach that applyed on a variety of materials and process conditions, a neural network data were compiled through trial and error.
Analysis of DOE data: a.
Data with seven trials are collected randomly at each level of temperature.
ANOVA is a basic step in the DOE that is a formidable tool for decision-making based on data analysis.
Schmockel D., and Beth, M., “Spring back reduction in draw-bending process of sheet metals” .