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A more detailed inspection of the original data of McKamey et al. shows that the certain skepticisms may be due to three possible reasons: First, an obvious discrepancy is apparent between tabulated data and their graphical presentation (cf.
This has to be solved in favor of the tabulated data.
The low values of the stress exponent do not guarantee reasonably low creep rates in extrapolating the laboratory data to service condition.
Creep data were not given.
Deviations of the data from a power-law fit are clearly evident from Figs. 1 and 2.

In order to get the slowness vector, we must get velocity structure; The acquisition of double difference data is lie in theoretical travel time’s acquire, the observe time can obtain from the seismic phase report.
Data and processing All of the data came from the CENC (China Earthquake Networks Center)[19], which station included national earthquake station (Fig.1) and regional guard station(Fig.2).
The time range is: from February 24, 2003 to April 30, 2004;The space range: East longitude 77.0 ° goes to 78.0 °, northern latitudes 39.0 ° go to 40.0 °.The data all acquires from the CENC website, there are total of 208 events(Fig.3).
Absolute earthquake location with differential data.
Lop Nor Revisitied: underground nuclear explosion locations,1976－1996,from double-difference analysis of regional and teleseismic data.

Rezaie et al. [10] investigated the possibility of applying topology optimisation methods on fused deposition modelling (FDM) fabricated parts by adopting the weight reduction approach and a successful implementation of the optimisation output files serving as FDM input data was achieved without the strength of the part compromised.
Figure 2 The black cuboid, FDM-PLA fabricated samples Output characteristics and data analysis.
The main effects of the infill density, extrusion temperature and layer thickness were investigated on each of the output characteristics using the S/N ratio data in Table 4.
In order to obtained the unified parameter setting, deviation of the normalised S/N ratios are computed from the normalised S/N data in Table 4 using equation (4).
However, in order to scientifically obtain the weighting factor for each of the output characteristics, the grey relational coefficient data in Table 5 was subjected to principal component analysis (PCA).

An application will be presented in this paper by integrating seismic data and production data to achieve history matching.
In 1997, a method improving production history matching with time lapse seismic data was proposed.
The traditional approach needs fracture data, so it is obviously not for this reservoir.
Seismic Attribution and Reservoir Development Regularities Seismic attribute is the derivative of the original data, it provides a more informative data sources close to lithologic, reservoir, pore seam, etc.
It is expected to get more valuable information to be used to constrain the simulation, if fracture logging data and seismic data are used in combination.

Seven thousand sets of data consisting of mechanical properties, chemical compositions, and rolling parameters of industrial hot-rolled coils were analysed using multiple regression.
Experimental procedure In this study, the 7105 sets of data consisting of mechanical properties, chemical compositions, and rolling parameters were collected from the hot strip mill.
Input Data Estimate intercept and coefficients of model Calculate statistical significance Perform analysis of variance Evaluate model adequacy Accept or disqualify the model Least square method T-Test method F-Test method 1.
From the data taken for this study, THK was in the range from 0.9 to 19.0 mm.
Acknowledgement The authors acknowledge Sahaviriya Steel Industries (SSI) public company limited for granting Noppon Jiratthanakul a scholarship to pursue the master study in metallurgy at TGGS, KMUTNB, as well as for providing data for his thesis, which the present work is a part of.

Hot (and warm) wall reactors have a critical advantage in the reduction of Si-supersaturation which would otherwise limit epitaxial layer growth rate and quality.
Inspection of the data indicates that on average the 8 wafers are ~110°C cooler than the susceptor due to the gas foil levitation.
In order to study layer uniformity and reproducibility under high volume production conditions, layer data from multiple reactors growing 600 V Schottky epitaxy were normalized by multiplying the entire data set for a given parameter by a single factor.
Figure 6 and Table I contain the compiled epitaxial layer data from approximately 100 full 8x100-mm growth runs normalized to 10 micron thickness and 5x1015 cm-3 doping.
The data is normally distributed, with 50% of the wafers being within ±0.75% of the mean and all of the wafers within ±3% of the mean.

Table 2-2 Road surface damage detection equipment Test content Device name Work/principle Test index Highway Pavement Cracks The PCR traffic data collection instrument Manual measuring All kinds of road surface disease Pavement damage camera car Film photography/indoor artificial interpretation All kinds of road surface disease RT2000 system CCD digital camera/artificial interpretation All kinds of road surface disease ARAN system CCD digital camera/image automatic recognition Pavement crack WayLink system CCD digital camera/image automatic recognition Pavement crack The road test data processing Pavement rapid detection data processing technique have certain research at home and abroad, has built up a mature overseas commodity software, the data can be acquired directly from the testing equipment.
With laser flatness gauge, digital video, GIS, GPS, high-speed computer network such as a variety of advanced technology, road data at the same time, the information collected in the formation of highway database in time, through a database query, data access to any sections of highway and its dynamic images.
Japanese development of check-out car damaged roads, adopted the MO and video tapes, analysis of cross-sectional shape and flatness data on a computer.
Test data processing technology has yet to be studied from three aspects, namely: detecting data automatic acquisition technology, data noise reduction technology, data storage technology; And study the compatibility of the detecting data and expert system.
The future road surface detection system should have the following characteristics: 1) Real-time data acquisition and processing surface characteristics; (2) Accurate positioning pavement disease characteristics; Results the versatility and openness; (3) Data processing, management software, the function is all ready; (4) System a high degree of automation, automatic correction, without human intervention.

Hardness follows the normal trend, increasing with α' content, with an accompanying reduction in toughness due to loss of the bridging/pull-out contribution of prismatic β', with further reduction during crystallising heattreatment.
The small reduction in α'/β' ratio for mixed cation systems may be related to the observed change in α' composition (mainly the value of n) on the tie line with the β' phase.
However, in both single and mixed cation systems there is a significant reduction in α' content, with the appearance of mellilite (M') in both Gd/Nd and Yb/Nd microstructures, in place of MAlO3.
Ball-on-disc wear data.
For example the surface roughness (Ra) of the BGSN standard increased during the test from 17 to 83 nm, whereas the Sialon-40 vol.% TiB2 showed a reduction in surface roughness from 37 nm to 17 nm.

Economic significance of extrusion is due to its material efficiency, labor costs reduction, elimination of intermediate treatments, better output quality, and high production rates.
Proper design of bearings is among factors of controlling material flow in this process and has an important role in scrap rate reduction.
These data were added as software inputs.

Yuan Li [2] et.al proposed using LPP based method in fault diagnosis, it is a kind of linear dimension reduction method which can keep adjacent structures, meanwhile it can find the low dimension information hidden in high dimension data.
Ej is a constraint of (1) and it indicates that once data point xi is chosen by other data points as center, it must first is the center of itself; Ii is another constraint of (1) indicates that each data point can only choose one data point as its center.
For each condition 50 data points were chosen, therefore we have 450 data points.First 31 features are extracted from this data points.3 features are selected from 31 features respectively by AP clustering, PCA and LPP.
Clustering by passing messages between data points[J].
Bearing data center fault test data[EB/OL]. http：//www.eecs.cwru.edu/laboratory/ bearing/ [2011-01-01].