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In either case the deformation of sample P led to 10 pct reduction in thickness in a single pass.
In either case, samples were deformed through 10 pct reduction in thickness followed by identical annealing treatments; 730 °C for 0.5h.
For acquisition of diffraction data, the AZTEC 2.0 software was used.
The acquired raw data was processed for further analysis using the Oxford Instruments Channel 5 post processing software.
Summary · Two different modes of deformation were applied on Ni-Ti-Fe samples through the same thickness reduction.

The test and evaluation of various index of the hollow slab bridge The total technical state of the bridge According to the existing evaluation method, based on the test data of the hollow slab bridge used for 10years [3], the carrying capacity analysis is studied, that can provide reference for the like bridges.
The section damage of concrete The reduction coefficient of section is defined by the state of material decency, carbonization, physical and chemical damage, by the test data’s and the evaluation standard, the reduction coefficient of section is 0.94.
Considering the actual condition of steel corrosion, the reduction coefficient of steel is 0.95.
The reduction of cross section According to the test result and the evaluation standard, the reduction coefficient of the cross section of the slab is 0.94; the reduction coefficient of steel is 0.95.
Table1 Comparison of resistance between damaged and undamaged slab（） Undamaged slab[6] damaged slab Theory value Reduction value Load test value 405.271 407.93 599.5 In the table, to the slab, not considering the damage and the crack, the theoretical value is limit moment in the midspan is 405.271, while by the damage load test, the limit moment is 599.5, considering the cross section damage and the durability deterioration, the limit moment is 407.93, decline 38.51% compared with the real moment value derived by the test data.

Data acquisition logic control unit is designed by FPGA.
The module is reset to the system " Asynchronous reset synchronization release " Reduction of reliability.
The module drivers LCD and reads the controlled logical WRFIFO data.
Our FPGA decode the video data collection based on this data stream protocol, finally display 3.5 inch 320*240 LCD.
In this way, we will continually get cache data of video stream to the FIFO.

The forecast model is built on a grey system with few data, ie, small statistics, and through initial data conversing by adequate measures to seek the obvious and latent information, and to study the inherent regularity from the disorder initial data [3, 4].
That is to say, the followed abrasion data can be obtained through the forecast model founded on the initial measurement data.
Regarding the thickness reduction as the corresponding abrasion data, the measurement values of point 1 are shown in table 1.
The train of thought of the grey forecast modeling is based on the measurement abrasion data.
Consequently, it is only suitable for non-negative monotone exponential initial data or data close to exponential distribution.

The alloy with respect to the chemical composition is naturally doped Mn, W, V, which are well preserved in the preparation of the iron semi-finished product by direct reduction technology.
Elemental analysis data indicate a uniform distribution of iron, carbon, manganese, sulfur and phosphorus in the alloy.
The content of microelements of non-ferrous metals in the ore from the data of atomic emission analysis with inductively coupled plasma is given in Table 2.
After the corresponding ore dressing procedures, a direct reduction method was used to produce the ferroalloy, which was subsequently used as a charge for alloying.
Elemental analysis data indicate a uniform distribution of iron, carbon, manganese, sulfur and phosphorus in the alloy (Fig. 3).

Noise reduction and compression of spectra data was done by wavelet transform (WT).
The original data were denoised by WT.
For each sample, NIR included 601 spectrum data.
If these 601 spectral data were all used, the dimension of input data would be very large and result in low speed of computer treatment.
WT was used for the noise reduction and compression of spectra data.

Conditions of Result Approach while using Airfoil's Measurement Data for Calculation of Wing's Lifting Force E.
Another possibility to take into account the non-linear section data in wing calculation is presented in research by Jacob 0.
The method combines numerical solution of lifting-line theory and a special approach to evaluating nonlinear section lift data.
So, the change in the plate's setting angle is determined by an iterative procedure from known sectional non-linear data.
In general, calculated sectional data can be used as well as the wind tunnel measurement data of aerodynamic coefficients of known airfoils

However, power demand reduction is usually one of the ultimate objectives.
The relevant data required for the analysis is initially obtained through a household and market survey as well as from the local utility.
Data from utility regarding electricity system load should be collected to get a particular day when the highest peak load occurs.
Data collected from the household survey consists of general data and electricity consumption data.
The compiled data based on the survey consisting of four essentials information: number of lamps of each lamp type, average number of lamps per household, total number of lamps in household and average daily operating hours for each lighting type is then analyzed to characterize the baseline energy use for the sample.

Comparative analysis of their results shows that the mode shapes of the machine shell are mainly the outward-expanding and inward-contracting vibrations, which provides a useful reference for vibration and noise reduction of the electronic button-sewing machine.
Tab.2 Modal parameters of the shell (/Hz) Set No. 1 2 3 4 5 6 7 Frequency 1436.0 2508.9 3924.6 4346.4 5161.0 5500.3 6066.0 2 Experimental modal analysis 2.1 The testing system The hammering impact testing system consists of the tested object, the acceleration sensor, the force sensor, the hammer, LMS data acquisition front-end and computer data processing module, which is shown as Fig.3.
Fig.4 Testing point arrangement 2.3 Experimental data post-processing After being collected, the experimental data are calculated and analyzed.
The results can provide a useful reference for vibration and noise reduction of the electronic button-sewing machine
Industrial sewing machine vibration and noise reduction technology[D].

Product data management is the practice of assimilating, processing, protecting, and storing product data.
Good data management must preserve the goodness of information and, in doing so, ensure that data is protected from unauthorised access and any loss or theft of sensitive data [9].
Data management can eliminate duplicate data, reduce search times, and simplify data storage [10].
Among the many data that are collected by companies are data related to maintenance processes.
Data management for CBM optimization.