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Comparing the full curve with the experimental data (full triangles) a reduction of the FWHM by a factor 1.5 is still possible.
By comparing our data with data cited in literature the dependence of the FWHM on film thickness has to be taken into account.
(triangles own data, circles data from Ref. [6], squares data from Ref. [7]). agreement with measurements of Ref
Measured ω−2Θ scan of 15 x Al0.3Ga0.7N/GaN MQW structure (solid line) and simulated data (dotted line).
From the X-ray diffraction data an InyGa1-yN well thickness of 5.6 nm and a GaN barrier thickness of 12.1 nm are obtained.

The energy consumption, costs and budget data was obtained from engineers in the said industry.
ER1 Data.
Data from energy meters including bills should be entered here.
The data will be read into other tabs for analytical purposes.
This worksheet will read the data from the data tab and display some trends.

So PCA is used for the dimension reduction to improve the flame detection speed and accuracy.
Because many noises may be existed in the color features, median filtering function is used to facilitate data normalization .The formulas are as follows:
After the dimensionality reduction by PCA, the characteristic matrix (N=4) is obtained.
A contour fluctuation data processing method for fire flame detection using a color camera[C].Proceeding of IEEE 26th Annual Conferenceo n IECON of the Industrial Electronics Society.
Technologies and Applications of Visual Saliency Detection for Image Datum [D].National University of Defense Technology,2007 [12] L.Itti, C.Koch, E.Niebur, et al.

In 1994 and 2000 there was no data available about permanent private households.
The period selected for analysis was from 1970 to 2009, with some exceptions, for which no data was available.
Data of the 1991 PC were compared with the BH of 1992, 2000 PC with 1999 BH and 2010 PC with 1999 BH.
Data of 1995, and before, was dismissed for using a different methodology.
These data are linked with the characterization of the public research participant profile.

Preparing for such training data is very difficult and expensive.
It is a hard work and costs much to prepare those training data.
It learns from both labeled and unlabeled data, which can reduce dramatically the number of labeled data required.
Li, “A novel data mining-based method for alert reduction and analysis,” Journal of networks, vol.5, no.1 pp.88-97, 2010
Conf. on Intelligent Data Engineering and Automated Learning, pp. 259-265, 2004

The absence of the striated features that are associated with the template could be indicative of the reduction of basal stacking faults in the ELO wings.
Results and Discussion Fig. 1 shows the XRD data for a planar m-plane GaN sample grown on a 6H-SiC substrate by MOCVD.
The absence of the striated features on the ELO sample could be indicative of the reduction of basal stacking faults in the ELO wing regions [12].
recombination of carriers/excitons bound to basal stacking faults (BSFs) [13], considering the fact that the PL data were collected not only from the wings but also from the windows, which contain a large number of BSFs.

Dots represent experimental data and lines are the predicted values obtained with Fick's model.
Fig. 3b shows experimental data for WL during osmotic dehydration of pumpkin and chestnut with NaCl solutions.
Dots represent experimental data and lines are the predicted values obtained with Fick's model.
Dots represent experimental data and lines are the predicted values obtained with Fick's model.
[30] FAOSTAT data (2006).

And the value of frequency, which is converted by data package’s payload and flow features, is put into counter vectors.
Because this algorithm is aimed at selecting features, the kind of the application’s session is known, the data set of it will be used to train the matching model, and the model is called data model.
The matching model of target application is denoted by AT, the others are denoted by Ai, the data model is denoted by AD.
In the Experiment, α is set as 0.5, after selecting feature, the relative entropy between data model and target model (Dameware) has a certain decrease, the relative entropy between data model and most of other models don’t decrease.
This method need a high accuracy of the data set, must be chosen by manual work.

Data obtained from dr.
Temperature treatment was intended to incur crosslink between essential materials of polymer mix which were citric acid and 1.8 Octanediol since the product data stated that the boiling point of citric acid is 153ºC and the boiling point of 1.8 Octanediol is 57-61ºC.
Graphics on influence of HA composition to Composite POC-HA Data on hardness test results showed that the highest hardness value ​​was found on the sample composite POC-71HA with a hardness value of 1042.28 MPa.
Time Required for 100% Degrading Composite Samples Weight reduction for 4 weeks (%) Period Weight reduction 100% (week) POC-62HA 3.677758 108.761914 POC-65HA 4.009623 99.7600024 POC-68HA 7.398411 54.0656636 POC-71HA 3.236483 108.066342 Based on data analysis, it was learned that the best result was on a sample composite POC-62HA.
I, Sopyan, Coral dan Gamping, Alternatif Murah Pengobatan Kanker Tulang, Makalah Jakarta: Pusat Data dan Informasi Perhimpunan Rumah Sakit Seluruh Indonesia, 2007

Updating the materials data used in [7] by a new set according to [12] , the value of S ≥ 0.39 has been corrected to S ≥ 0.24 for growth of 3C-SiC in [111] direction.
Consequently, the overall material quality decreased shown by both the XRD and the Raman measurements which are in good agreement with the computer simulation data.
Together with the data obtained from simulations the limit for stable growth of 3C-SiC on [100] direction is found to be a minimum supersaturation of S ≥ 0.1 for the use of seeds which already consist of the cubic polytype.
Further investigations of this sample together with the simulated data revealed a minimum supersaturation of S ≥ 0.1 for the stable growth of 3C-SiC on seeds already containing the cubic polytype.
[8] Schöler, M., et al., Modeling of the PVT Growth Process of Bulk 3C-SiC - Growth Process Development and Challenge of the Right Materials Data Base.