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(6) and are defined by training data.
Training data consist of road and lane classes.Training data for class c for the frame at time t are defined as follows:
(2) The original data dimension reduced from a 3-D to 1-D scalar through the dimension reduction function
The edge image do as the input of the Hough transform.lastly HT transform detects the lane line.Training data are updated to adapt illumination changes.
The parameter solution of general HT is a global search,which will increase the computational burden.In order to reduce the time cost,an adaptive Canny edge detector is presented to accelerate this step. 3.3 Updating of the Training data Selecting the regions near the detected lanes.is the RGB vector of a pixel in the frame at t−1,is a mean vector of class c.is the distance betweenand.Ifis less than a certain value,is chosen as the new training data of class c.the lane line and road area pixel RGB vector according to the practical determined by artificial as the initialization of training data

Based on the microhardness and tensile test data, it was possible to verify a significant change over the mechanical properties of the UNS S31803 steel.
The precipitation of the σ phase is of high interest to the austenic, ferritic and duplex stainless steels, as effects which cause not only the reduction in the mechanical properties, but also the decrease in the resistance to steel corrosion are associated to it [ESCRIBA et al., 2006].
Besides, it is known that the sigma phase precipitation causes reduction in the corrosion resistance of this kind of stainless steel.
Conclusion Based on the results obtained, it is possible to conclude that the sigma phase precipitation significantly changed the mechanical properties of the steel being studied, as there was reduction in the ductility and increase of the hardness and maximum tension.

According to foreign-related test data, mobile and equipment to reduce the weight of 10% each, can reduce energy consumption by 5% -8%, so the support vehicles carry lightweight design is necessary [1].
Fig. 4 Displacement nephogram Fig. 5 The stress deprogram Effect analysis Heavy duty rack weight made of 40Mn2 steel is 40.38kg; while for MC nylon light frame weight is only 22.5kg, compared with the heavy duty rack, weight reduction of 44.3%.
A whole column extending support vehicle loading machine equipped with the number at more than ten, which can complete the reduction, amounted to more than 226.8kg.
If the lightweight consider car, then ten support vehicle total weight reduction of 697.8kg, tractor traction on the supporting vehicle will be reduced.
Moreover, in the resources, energy and environmental problems have become increasingly prominent today, lightweight design to contribute to energy-saving emission reduction, environmental protection, promote the coordinated development of economy, society and environment, is worthy of promotion.

In the industrial point of view, the reduction of development time process to reach a sheet resistance target is needed in terms of development cost reduction.
Table 1 : Average measurements datas of sheet resistance and carrier lifetime for BCl3 diffusion process.
De Frésart et al studied B203 decomposition by Si and reported that energy activation of this reduction was EA=4.5±1eV including B2O3 decomposition and SiO2 formation [5] [6].
The similar temperature dependence between B2O3 reduction and kBoron parameter suggest that our equivalent model is a good approximation of diffusion process.
The kBoron parameter was introduced to fit experimental data as function of the diffusion temperature.

The synthesis of intermetallic Ni-Al nanoparticles by co-reduction approach of several organometallic precursors with sodium naphthelide in non-aqueous solution was studied.
The reduction of an organometallic precursor, nickel (II) acetylacetonate, Ni(Acac)2 as a source of Ni element of the intermetallic, and aluminum trichloride, AlCl3 in tetrahydrofuran (THF) solution gave a black particles.
Recently, Abe et al. have successfully synthesized by-products free intermetallic phase Pt3Ti nanoparticles by chemical reduction of precursors with sodium naphthalide under inert atmosphere at room temperature [15, 16].
The synthesis method was chemical co-reduction using sodium naphthalide, NaNaph as a chemical reducer under inert condition at room temperature.
The FTIR data were averaged over 32 scans to reduce noises.

The 6061 and 6063 aluminium alloy bumper unit has a weight reduction of 67% compared to the steel ones.
Then the response model for , and E (Fig. 7)were established by data from crash simulation results, which show below, (5) (6) (7) (a) (b) (c) Fig. 7 Response surface modeling of (a), (b)and E (c) relate to t and L The coefficient of determination () in the analysis of variance was used to verify the response of surface fitting degree.
After adopting the material of aluminium alloy, it has a weight reduction of 60% compared to the steel ones (weight 0.68 kg).
As a result, the new crossbeam and crash box satisfy both demands for improvement of crash worthiness and reduction of parts’ weight.
The new design unit can change the whole design of automotive parts for crash energy absorption, and definitely contribute to drastic weight reduction of steel parts.

A reduction in cell viability as a function of NP concentration for 24h was observed.
Our data demonstrates that CuO NPs even at low concentrations lead to cell membrane damage in human epidermal cells which may be mediated through lipid peroxidation and oxidative stress, however, induced little effect to Mitochondria.
After 24 h exposure at varying doses of CuO NPs (0.5–100mg/L), cell viability determined by CCK-8 assay resulted in explicit dose-dependent reduction (Fig.2).When cells were treated at lower doses, i.e. 0.5-10 mg/L CuO NPs, cytotoxicity of NR8383 cells was significantly greater than A549.

To model the experimental data, diffusional models considering or not the external resistance to mass transfer were used.
The model without considering external resistance did not fit well to the experimental data.
Results and discussion Experimental data.
Modeling the experimental data could be interesting to study this aspect and quantify the ultrasonic influence on drying.
Moreover, experimental and calculated data have the same tendency as can be observed in Fig 3.

The theoretical results show good agreement with the experimental data, and the ligand contributions should be considered due to the strong covalency of the systems.
(1) Here gs (» 2.0023) is the spin-only value. z and z' are the spin-orbit coupling coefficients, k and k' are the orbital reduction factors, and P and P’ are the dipolar hyperfine structure parameters for a 3d8 ion in crystals. k is the core polarization constant.
Utilizing the cluster approach containing the ligand p- and s-orbital contributions [18], the spin-orbit coupling coefficients, the orbital reduction factors and the dipolar hyperfine structure parameters can be expressed as: z = Nt (zd0 + lt2 zp0 /2) , z' = (Nt Ne)1/2 (zd0 - lt le z p0 /2) , k = Nt (1 + lt2 / 2 ) , k’ = (Nt Ne)1/2 [1- lt (le+ ls A)/2] , P = Nt P0 , P’ = (Nt Ne)1/2 P0
The group overlap integrals, the cubic field parameter Dq (in cm-1) and the average covalency factor N, the molecular orbital coefficients Ng and lg (and ls), the spin-orbit coupling coefficients (in cm-1), the orbital reduction factors and the dipolar hyperfine structure parameters (in 10-4 cm-1) for the Fe0 and Mn- centers in Si.
Based on the present cluster approach calculations, the anisotropies (or the relative differences L’/L - 1, with L= k and z) are about 40% - 98% and 14% - 70% for the orbital reduction factors and the spin-orbit coupling coefficients, respectively.

After the normalization for the elastic anisotropy (altered W-H analysis), the data showed a very good linear behaviour.
The decreasing of the Full Width of the Half Maximum (FWHM) of the peaks can be related to reduction of the average microstrain and/or to the increasing average dimension of the crystallites.
The percentage of reduction of microstrains after the thermal treatment was calculated according to the equation: Fig.2.
Linear interpolation of data with the W-H equation (a) and with the modified W-H equation (b).