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For TMCP plates the total reduction below the temperature of no recrystallization (around 1000°C for these alloys) was 50%, with the last pass being performed at 900°C.
Eq. 1 was then fitted to the data with two fitting parameters i.e. σ0 and C.
Finally, regarding Eq. 1 the best fit is in good agreement with the experimental data.
As can be seen both model parameters increase with nitrogen content in a linear manner, although an exponential function fits best the data for the SA case when considering σ0.
For the latter, analysis of the yield stress versus temperature data did not reveal significant slope changes for the less stable alloys, indicating no significant martensite formation up to yielding.

Response surface methodology (RSM) The general expression for a central composite design is described by the model (2) The least square estimates, b, of the parameters, of the model are obtained in the usual way (3) The analysis of variance are then computed from Total (4) Regression (5) Pure Error (6) Lack of Fit = Total SS – Regression SS – Pure Error SS (7) Based on the data available, the b values as obtained from the equation 3 are estimated.
Table 1 ANOVA for MRR Sources Degrees of freedom Sum of squares Mean square F value Tabulated F value 1% 5% Regression 9 410.34 45.593 246.451 10.16 4.77 Lack of fit 5 1.042 0.208 1.13 10.97 5.05 Pure error 5 0.923 0.185 Total 19 412.31 Goodness of fit R2 = 99.52% Table 2 ANOVA for Ra Sources Degrees of freedom Sum of squares Mean square F value Tabulated F value 1% 5% Regression 9 65.7173 7.3019 43.079 10.16 4.77 Lack of fit 5 0.2978 0.0596 0.35 10.97 5.05 Pure error 5 0.8477 0.1695 Total 19 66.8628 Goodness of fit R2 = 98.29% Thus on analyzing the data the estimated response surface equations as obtained in absolute values of parameters after transformation are enumerated below.
Estimated response surface equation for material removal rate in mm3/min MRR = 5.0215 + 5.533*I + 1.4115*to – 1.5694*tf + 2.4193*I2 – 0.7371*to2 – 0.0112*tf2 + 1.4449*I*to – 1.6467*I*tf + 0.1022*to*tf (8) Estimated response surface equation for surface roughness parameter Ra in micron Ra = 4.841 + 2.403*I + 0.564*to + 0.098*tf – 0.0691*I2 – 0.0641*to2 + 0.0859*tf2 + 0.7562*I*to + 0.0663*I*tf – 0.0762*to*tf (9) The models are then tested for their accuracy with a set of 6 data points.
In the present study a set of 1210 initial points are chosen randomly in the search space and the different criteria are set as follows: initial starting temperature = 250oC, temperature reduction parameter = 0.975, number of iteration at a particular temperature = 100 and accuracy = 0.05.
Current (A) Pulse on time (µs) Pulse off time (µs) MRR (mm3/min) Ra (µm) 1 3.0184 117.7043 138.1988 1.9066 2.3695 2 3.5414 122.2277 66.8499 2.4044 2.9788 3 3.9108 129.9980 59.1269 3.0015 3.3863 4 4.2681 137.0140 51.0040 3.7363 3.7689 5 4.8298 140.4917 52.9878 4.7302 4.2628 6 5.2157 106.4278 62.7714 4.9163 4.3755 7 5.8305 91.0492 60.4837 5.6937 4.6369 8 6.5296 84.3491 51.2879 7.0176 4.9277 9 7.5031 70.7896 51.7327 7.9744 5.1183 10 7.4693 72.0900 50.4350 8.0657 5.1309 11 8.9898 65.9924 50.0696 10.0303 5.4970 12 10.5440 64.0422 50.9034 12.0419 5.8511 13 11.6913 77.9043 54.6569 14.2547 6.5163 14 11.9084 149.9033 56.1071 16.8756 7.8546 Based on the available parameter settings in the EDM machine, a small comparison is made between the Pareto optimal points and experimental data points and shown in Table 4.

The second adaptive algorithm based on scene can overcome this drawback, this method obtain the correction data is through the calculation of the number of the frame image, which can ensure the calibration data is automatically updated and real time correction, such as time-domain high-pass filter method, artificial neural network method, etc.
The second method relies on conventional Low Dynamic Range (LDR) sensors to capture HDR data by recording multiple exposures of the same scene and have to know the camera response function [2].
Thus, we can remove the influence of random noise through averaged 100 successive images data.
Reinhard: Noise reduction in high dynamic range imaging.

Further trap density reduction may be obtained by oxidation in the presence of sodium (sodium enhanced oxidation, SEO), enabling the fabrication of MOSFETs with record-high channel mobilities [6].
Curve 2 shows the CV data after the sample was stressed at -40 V for 10 min under ultraviolet (UV) light at 300 K.
Curve 3 shows the CV data after the sodium had been returned to the SiO2/SiC interface by bias stressing the sample at 40 V for 40 minutes at 300 K followed by cooling to 200 K with the bias on.
High frequency CV data (1 MHz) for a SEO MOS capacitor.
This is determined from TDRC data that is recorded between 50 K and 200 K.

Introduction With the rapid development of the automotive industry, the number of waste tires increased dramatically,so the processing of waste tires and other rubber products become an important problem for the sustainable development and environmental management.Admixing rubber into cement concrete,and it improves the toughness of concrete,noise and vibration reduction and shock resistance.Studies have shown that mixing rubber will lead to rapid decrease of concrete’s compressive,tensile and flexural strength [1].With the mixing of rubber, the compressive strength of concrete decreased, therefore, the rubber modified concrete has been put on the agenda.
Research on performance of concrete According to different superseded quantity of volume,we separate experiment into 5 group,0%,5%,10%,15% and 20%.separate every group into 2 small group according to rubber granule A and rubber powder B,every small group have 3 test pieces.Datum concrete which is not blended latex and rubber;non-modified rubber concrete which is blended rubber but latex;latex modified rubber concrete which is blended rubber but also latex.make sure datum concrete achieve aim strength,test compressive strength, splitting tensile strength, flexural strength of datum concrete,non-modified rubber concrete and latex modified rubber concrete,compare with each other,find out in what condition that raise and fall of concrete’s performance and the proportion of tensile strength and compressive strength,then search for regular pattern further.
The Basic Mechanical Performance Analysis According Table 1:compressive,tensile and flexural strength of concrete would decrease because of rubber blending,and more the rubber blended,more strength of concrete would decreased,latex is propitious to heighten compressive strength,splitting tensile strength and flexural strength of Concrete.In the condition of no rubber blending,modified datum concrete have enhancement in compressive,tensile and flexural strength relative to datum concrete at 28 days,the amplification are 14.1%,15.6% and 21.0% respectively.Due to the latex can improve the surface effect of rubber particles,and the bonding strength between rubber and cement would increase.In the condition of 20%B rubber content,the amplification of concrete’s compressive and tensile strength is maximum at 28 days,about 13.4% and 21.8%,,and in the condition of 20%A rubber content,the amplification of flexural strength is maximum at 28 days,about 25.5%,the concrete which had been modified by
MRC-B 57.63 5.29 8.35 NRC-A 10 49.61 10.3 4.49 15.1 6.83 21.4 MRC-A 54.74 5.17 8.29 NRC-B 46.92 10.5 4.31 14.8 6.52 23.9 MRC-B 51.83 4.95 8.08 NRC-A 15 46.45 7.4 4.29 14.7 6.57 21.2 MRC-A 49.88 4.92 7.96 NRC-B 43.07 10.4 4.03 17.9 6.22 24.9 MRC-B 47.53 4.75 7.77 NRC-A 20 40.79 12.3 3.88 20.9 6.05 25.5 MRC-A 45.81 4.69 7.59 NRC-B 39.02 13.4 3.76 21.8 5.92 24.5 MRC-B 44.25 4.58 7.37 The Performance of Tension and Compression Ratio The tension and compression ratio is a specific value of compressive strength and splitting tensile strength, The performance of tension and compression ratio is the prime symbol for the brittleness of concrete,The higher the concrete strength, the smaller the tension and compression ratio, the greater the brittleness, the smaller the toughness.The rate of splitting tensile strength growth is lower than the compressive strength growth,the performance of tension and compression ratio is the key to improve the toughness of concrete.A lot of literature and research data
Fig.1 The tension and compression ratio As shown in Figure 1:Adding rubber can improve the tension and compression ratio of concrete,And the tension and compression ratio of rubber powder is obviously better than the performance of rubber particles;Under the condition of not adding rubber,the tension and compression ratio of latex modified concrete has improved,compare with the datum concrete,but the elevated effect is not obvious;With the rubber mixing, tension and compression ratio of latex rubber concrete has increased,compared with the unmodified rubber,the more rubber content,the more elevated effect obvious,the rubber particles under the condition of A dosage of 20%,the tension and compression ratio of latex modified rubber concrete increased by 7.6%.Latex as surface modification agent of rubber, help to enhance compressive,tensile and flexural strength of concrete,and help to improve the tension and compression ratio of the concrete at the same time,to ensure the toughness

Given an input from the experimental condition of positron life time measurement /or angular correlation data, the model can be tested.
Armed with the modified description of the ‘bubble model’, it has been possible to fit the life time data for various types of liquids, to achieve a more simplified expression, i.e. tpick –off =1.88R-5.07.
Curvature effect of surface tension (ST) for small bubble, taking finite size effect of Ps in the diffused boundary model, with the modified relation ship : tpick –off =1.88R-5.07 vide [5] Liquids S T( bulk) (dynes/cm) S T g effective (dynes/cm) % correction due to curvature effect Fitting Life time data Radius R (Å) U0 (eV) n- pentane 15.32 14.81 3.32 5.04 1.19 n- hexane 17.74 17.14 3.38 4.86 1.26 Benzene 28.22 27.62 2.12 4.33 1.56 Water 72.10 69.21 4.01 3.44 2.16 Propanol 23.32 22.60 3.08 4.53 1.56 Butanol 24.93 24.17 3.04 4.45 1.65 Octanol 27.10 26.22 3.24 4.37 1.62 Methanol 22.12 21.15 4.38 4.63 1.10 It is also interesting to observe a posteriori that the value of D, is generally small being 0.15 Å and what is more relevant, (D/R) ~0.03<<1. which accords with the Tolman type relationship.
Thus, the positronium formation process which essentially requires free diffusion of quassi- free electrons, and slowed down e+, if hindered or removed from the scene, an inhibition / or drastic reduction in positronium formation results.
[6] The experimental data included are partly from our laboratory at SINP vide thesis : Debarshi Gangopadhyay (2002) Surface tension using Du Nouy Tensiometer and slow fast coincidence technique of positron life time spectrometer and also from H.

Initial data for calculation of duration works
№ team [i] 1 2 3 4 Тi [months] 9 10.8 14.1 21.9 Tteam [months] 13.95 13.95 13.95 13.95 ki= Tteam/ Тi 1.55 1.29 0.99 0.64 ki·ti1 3.1 3.87 2.97 1.92 ki·ti2 3.1 2.32 5.35 8.45 ki·ti3 4.65 3.87 2.97 1.92 ki·ti4 3.1 3.87 2.67 1.73 Expansion period [months] 4.66 3.87 6.4 Тgeneral = 28.9 [months] On the basis of the obtained data the cyclogram (Fig. 1) is under construction.
Further we optimize the task of criterion of minimization of a manpower (the 2nd option) at the set general duration of 33 months, and having entered reduction coefficient to the set duration, we will obtain the data consolidated in table 4.
Thus the number of resources decreased by 8.5 %, in comparison, with basic data.

Previous and current versions Biome-BGC have been evaluated against other models, eddy-covariance data from flux towers, and biometric studies.
Thornton et al.(2002)tested Biome-BGC against eddy-covariance data and biometric analyses at seven evergreen needleleaf forests in the United States to assess the model's ability to track NEP following disturbance.
The smallest time step in the simulation is the base-time step which is selected according to input data availability and/or module requirement (generally one hour).
This calculation is purely empirical and is only used here for transferring initialized DBH to D01 and D01 back into DBH in order to provide evaluation data that can be compared with repeated DBH measurements.
Since the order of magnitude of estimate for the amount of biomass required for reduction in C emissions was within the range of coal-biomass feed systems,it is reasonable to assume that existing technology is adequate for the option.

Firstly, in the whole data set, the number of extrema and the number of zero-crossings must either equal or differ at most by one; Secondly, at any point, the mean value of the upper and lower envelope is zero.
The fault diagnosis analysis of rolling bearing In order to validate the effectiveness of the method proposed in this paper, In research, we have adopted drive end bearing fault data collected from bearing fault simulation experiment platform of electrical engineering lab in Case Western Reserve University, USA.
This paper adopted a method that combined five-spot triple smoothing approach, wavelet de-noising and filtering process, and the smoothing times are 20, the wavelet ‘sym4’ was used for decomposing the signal into two layers in the process of wavelet de-noising, and soft threshold method was applied to perform noise-reduction, then filtering process was conducted to dispose of the signal after de-noising.
Ensemble empirical mode decomposition: a noise-assisted data analysis method [J].
Advances in Adaptive Data Analysis, 2009; 1(1): 1-4l

By the linear fit of the data an effective barrier height of 0.74 eV and a Richardson's constant of 4×10-3Acm-2K -2 were extracted.
The extrapolation at n=1 (ideal case) of the barrier       =            Φ − = nkT qV I nkT qV kT q TAAI s B exp exp exp* 2 (1) Fig. 1: (a) Forward I-V characteristics of Pt/GaN Schottky contacts at different temperatures; (b) Richardson's plot determined from the data reported in (a). 24 27 30 33 36 39 -40 -38 -36 -34 -32 -30 (b) ln(Is/T 2 ) 1/kT (eV -1 ) 0.0 0.4 0.8 1.2 10 -10 10 -8 10 -6 10 -4 10 -2 175°C 25°C (a) Current (A) Forward Voltage (V) height is ΦB0= 1.21 eV, which can be regarded as the barrier height for the ideal homogeneous Pt/GaN contact.
The degree of inhomogeneity of the barrier can be quantitatively described by the standard deviation (σΦB=0.11 eV) of the Gaussian curve fit of the data.
The improved barrier homogeneity after annealing can be due to a change of the metal/GaN interface intimate properties (reduction of the interface states density, removal of a residual oxide layer, interfacial reaction, etc.) and is object of further investigations.
The extrapolation of the barrier height at n=1 (ideal case) is ΦB0= 1.21 eV 1.08 1.10 1.12 1.14 1.16 1.18 0.92 0.96 1.00 1.04 1.08 1.12 experimental data fit linear Barrier height ΦB (eV) Ideality factor n Fig. 3 : Distribution of the barrier height values determined by the local I-V measurements 0.6 0.7 0.8 0.9 1.0 1.1 1.2 0 5 10 15 20 25 30 Counts Local Barrier Height (eV) Fig. 4: Surface morphology of the bare GaN surface determined by AFM.