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The measured DC and S-Parameters data from the fabricated devices were then used for the transistors’ modelling.
This model is then optimized by fitting the modelled and measured S-parameters data.
Nonlinear modelling of the devices is then performed; the DC and RF data are extracted, modelled and optimized.
The linear model is performed to achieve an excellent fit between the modelled and measured data.
The S-parameter data is depicted in Fig. , where the modelled data shows a good fit to the measured data up to a frequency of 10 GHz.

In this case, un-overlapping diffracted peaks of respectively BHF and STO were selected, and reliable line broadening data were obtained using the step-scanning mode.
A model based on the structural relaxation of the interface was used to analyze the isothermal crystallite growth data.
Our measurement indicated that the lattice constant of STO which derived from refined data of Fig. 1b was 3.905 Å and that of STO in a composite (Fig. 2) was 3.904 Å.
For BHF in a composite sample has the refined a nd c values respectively 5.873 Å and 23.118 Å as derived from data of Fig. 2.
Despite limited data currently available in our study, the crystallite growth kinetics shows a similar trend.

Using data set representing the user vector retrieved from the vector data in the table, where is the number of users, and is the user vector representation.
The dataset contains content rich and authentic data indexes that can fully meet the requirements of the recommending model.
To prevent the occurrence of data sparseness problem we choose the films, which have been evaluated by at least 50 users.
Eventually extracted data contains 570 films, a total of 36916 records.
In the experiment 90% of the data is selected as a training dataset, and the rest of the 10% as test dataset.

The collected time spectra were fit using Windows Muon Data Analysis (WiMDA) [24].
Solid lines are fit to the data as explained in the text.
Inset is the raw data of the polarization, which accounts for the initial asymmetry.
Inset is the raw data of the polarization or initial asymmetry.
Pratt, WIMDA: A muon data analysis program for the Windows PC, Phys.

; (3) oil price (oprice) Data source: U.S.
; (4) US dollar index (usdx) Data source: Atlanta Federal Reserve Bank
; (5) wheat price (wprice) Data source: U.S.
; (6) corn price (cprice) Data source: U.S.
All series are yearly data from 1980 to 2010.

For getting these characteristics, it is necessary to know the data of the measurements.
Data can be extracted from a manufacturer.
Points in Fig. 3, the data are provided by the manufacturer.
The shape of the curve to be obtained in an experimental way, followed by the measurement data approximation [4].
Further reductions in will produce no further increase in flow rate.

The cause may be no homogeneous character of substance or noise in the data.
In this case we realize filtration of data.
We constructed also dialog scheme of data pre-processing on the base of Adobe Image Ready, the systems FOTOSHOP and Picasa2.
Pre-processing is used for reducing real data to the simplified form considered above.
Good properties of the developed algorithm are demonstrated on numerical examples with simulated and experimental data.

Domestic scholars have done a lot of work in the aspect of random error compensation algorithm for MEMS devices, the autoregressive moving average (ARMA) model of general method because of not using the low order data covariance, only using the high order data covariance construction of Yule-Walker equation, thus leading to the observation noise variance estimation accuracy is not high, and in the moving average (MA) order q order is greater than or equal to p order autoregressive (AR) can not be estimated noise variance Therefore, this paper will approach the sample variance coefficient and time series stationarity test are combined to determine the appropriate modeling sample length.
The theoretical analysis Determine the modeling sample length For discrete time series modeling ARMA sampling data requirements must be stable, the ring method mentioned in reference [12] are used for stationary test.
Test results According to the model and the modeling sample length principle, the output of the ADXRS150 gyroscope are analyzed, to determine the model using ARMA (2,1), modeling sample length by 2225 sampling data is appropriate. system state equation and measurement equation of ARMA (2,1) as follow: = + =+ (2) In the type(2), is white noise sequence that has the mean value of 0 and The variance value of 0.019. is white noise sequence that has the mean value of 0 and The variance value of 0.286.
Noise reduction of laser gyro drift signal [J] based on improved wavelet threshold, Chinese Journal of scientific instrument, 2011, 32 (2): 258-263 [2] Tan Zhenfan, a Qintuo error identification and compensation of.MEMS gyroscope [J]. sensor and micro systems, 2010, 29 (3): 39-41 [3] Cai Xiong.
Determination of sample size problem of [J], random data processing in construction machinery, 1993,4:16-21 [9] Meng Tao, Wang Hao, Li Hui, modeling and filtering method for.MEMS gyro error [J]. systems engineering and electronics, 2009, 31 (8): 1943-1948 [10] Yang Shuzi, Wu Ya, Xuan Jianping.

In particular, data about TBBPA technology come from literature (secondary data) while data concerning nanoclays production have been directly supplied by a NANOFIRE partner (primary data).
The Boustead v.5 software was used as calculation model and as main source of secondary data.
Preliminary results have been achieved on polypropylene-sepiolite systems by Camino and coll., testing the materials by means of an oxygen consumption cone calorimeter apparatus; a reduction of the peak of the rate of heat released during combustion of 56% by adding 5 wt.% of pristine sepiolite was achieved [8].

It can be known that the major phase of this product powder is FeSe2, which was indicated by comparing experimental data with different standard pdf cards of No.65-2570 in Fig.1a, No.21-432 in Fig.1b, No.74-247 in Fig.1c, However, in this powder sample there is obvious impurity phase Se indicated by the peak at 2θ angle between 35~37º, comparing experimental data with the standard pdf card of No.47-1515 in Fig.1d.
It can be seen that the major phase of this product powder is FeSe2, which was identified by comparing experimental data with different standard pdf cards of No.21-432 in Fig.1a, No.89-4075 in Fig.1b, No.79-1892 in Fig.1c.
Only Se peak appears at 2θ angle of 31.5º, comparing experimental data with the standard pdf card of No.83-2437 in Fig.1d.
Only Se peak appears at 2θ angle of 31.5º, comparing experimental data with the standard pdf card of No.32-992 in Fig.1d.
Chen, Selective synthesis and magnetic properties of FeSe2 and FeTe2 nanocrystallites obtained through a hydrothermal co-reduction route.