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The nitride layer provided equivalent oxide thickness (EOT) and gate leakage reduction.
The other impact of nitrogen incorporation on device performance is the reduction of mobility.
Figure 11: Hydrogen content reduction in the nitride film through a thermal annealing process.
The leakage reduction with JVD nitride is more significant in the case of thinner dielectric.
Figure 16: TOFSIMS data from ~5 nm nitrided N2O grown oxide showing a sharp N signature at surface with a full-width-at-half-maximum (FWHM) of ~ 0.7 nm.

The average crystalline sizes of the TiO2 nanoparticles were determined from the XRD data using the Scherrer equation as follows [22]: d = 0.9λ/(β cos θ) (3) Where d is the average crystallite size, λ is the wavelength of incident X-ray, β is the FWHM of the peak, θ is the scattering angle.
The higher the deposition of the nanoparticles, the more the reduction in tensile strength.
Consequently, this disruption leads to a slight reduction in both the tensile strength and strain of the fabric.
The most substantial reduction of 78.99% (from 16.11 to 3.38) occurred after 24 hours of solar light exposure.
Solar radiation, on the other hand, resulted in a somewhat greater reduction of 83.48%, as the ∆E* dropped from 20.75 to 3.42.

Mohamad Aramesh et al. analyzed the energy and shadow modelling of a rectangular type salt gradient solar pond and the experimental data and theoretical results for the energy efficiency are 9.68% and 11.38% for January, 17.54% and 18.92% for May, and 28.11% and 30.94% for August, respectively [10].
Cristóbal Silva et al. experimentally and numerically studied the evaporation reduction in a salt-gradient solar pond using floating discs concluded that heat content within the solar pond slightly increased, demonstrating that the reduction of evaporation improves the heat storage capacity of the pond [12].
Hence the data’s were recorded for every one hour and the temperature profile within the pond has been experimentally obtained. 4.
The maximum brine temperature predicted by the model was 51°C on day 5 and the minimum temperature predicted by the model was 25°C on day1 measured data.
The maximum brine temperature predicted by the model was 44°C on day 5 and the minimum temperature predicted by the model was 26°C on day1 measured data.

Introduction It is extremely desirable to acquire high-quality data from vibration tests for modal parameters identification.
For theoretical data, the singular values should go to zero when the rank of the matrix is exceeded.
For measured data, however, due to random errors and small inconsistencies in the data, the singular values will not become zero but will become very small.
Use the singular value decomposition technique with an appropriate value of rank r estimated from the data to obtain a low rank approximation to the Hankel data matrix.
Shah: Estimation of a signal waveform from noisy data using low-rank approximation to a data matrix, IEEE Transactions on Signal Processing, vol. 41 (1993), p. 1716–1721.

The data from visual assessment were used to the test prediction performance of six color difference formula and color appearance models, namely CIELAB, CIECAM02, CAM02-UCS, CAM16, CAM16-UCS and CAM16-UCS with power function.
The testing on various data sets revealed that CAT02 yielded negative tristimulus values for the red and green channels [1,8,11,12,13,14,15].
The correction is made to increase the prediction performance of the visually data. [14] ∆ECAM16-UCSc=1.41 ∆ECAM16-UCS0.63
CAM02-UCS model is designed to increase the prediction of various data sets.
Given that 40 % of the data in the robustness treatment were excluded from the observers evaluation when obtaining results, it can be said that the observer’s results have a high inter-observer variability.

Through webpage data analysis we obtain the economic benefits detection data.
Fig. 5 HTML Webpage link operation In order to realize the continuous and real-time of economic detection data, we need to establsih connection between new projects and internet HTML data [9, 10].
Through the data interface it can realize data obtaining automatically and do economical detection.
We use J2EE detection system to detect total economic trade in one region, and obtain the total trade demand and exports under new protectionism, which provide reference data for the study of national foreign trade.
Computable general equilibrium analysis of import tariff reduction from ASEAN agricultural products on China macroeconomic and industry [J].

Thus, energy conservation and emission reduction has been promoted to a major strategic task of economic and social development in China.
Derivation of Comprehensive Evaluation Results Correlation coefficient only indicates the degree of correlation between data at one moment.
Contrastive analysis was carried out on daily operating data.
Daily Running Data of a Pumping Station and Its Analysis In this paper, daily running data of a pump station was processed.
In accordance with the calculation steps of energy consumption, the preliminary analysis was conducted on the energy consumption of the raw data.

Using the data of 30 small firms, we build the index system to evaluate competitiveness.
The application of principal component Index system and data.
Data processing.
We use Stata 12.0 to process the data.
We standardize the original data and then calculate the correlation efficient matrix, latent root and eigenvectors, proportion and principal component loadings.

The model is validated by quantitative agreement of calculated and experimental data on the Al concentration in SiC as a function of temperature, pressure, SiC growth rate, and TMAl flow rate.
Note that, though these trends are commonly observed, there are considerable quantitative discrepancies in the data of different authors.
The authors found certain correlations between their calculated data and the site-competition mechanism but did not simulate p-doping directly.
The model and the fitted complex are then validated by the agreement of calculated and experimental data in variation of other process parameters.
It is validated by quantitative agreement of calculated and experimental data on the Al concentration in SiC as a function of various process parameters.

Reduction ratio: 80. 2.
After data acquisition, it should be converted into data files which can be handled by VB program.
Data acquisition and conversion 4.1 Acceleration of vibration.
Horizontal direction sensor is connected to data acquisition instrument channel 1, and vertical one is connected to channel 2.
Experimental results and data analysis 5.1 Results of vibration acceleration response test.