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Many data show that only accurate grasp of nitrobenzene features and changes affecting their respective environmental factors, in order to make a scientific assessment of nitrobenzene in the environment, transport and transformation processes and destination.
Nitrobenzene migration and transformation mechanism in aquifer Nitrobenzene into the aqueous layer may be mainly through the following procedure: (1) The aqueous layer was adsorbed media particles ; (2) to the surface volatilization ; (3) biodegradable ; (4) non-biodegradable ( hydrolysis, photolysis, oxidation reduction reaction, etc. ) ; (5) to be absorbed into the food chain enrichment plant or degradation.
To determine the total rate constants of nitrobenzene natural attenuation The process of transport and transformation of pollutants in aquifer is also polluted matter natural attenuation, the process includes the physical process of solute convection dispersion and an aqueous medium on adsorption, pollutant biodegradation, oxidation and reduction process.

To obtain quality results we must know exact input data including residual stresses.
Reduction of the bending stiffens of plate girders and the natural frequencies of slender web taking into account residual stresses are evaluated.
Fig. 3 shows influence of residual stresses on reduction of moment of inertia what represents bending stiffness of girder

However, there is a lack in the experimental and analyzed data.
Finally, the concrete cover spalled in the compressive region of the column base with substantial reduction in the load-carrying capacity, while the concrete in the flange slightly damaged or even not damage at all.
Fig. 5 shows the reduction in stiffness with respect to lateral displacement for CT-3.

Respectively circumference force, axial force and shear force are loaded on the final reduction gear C,fourth gear D or fifth gear E.Solving it can get equivalent stress cloud figures as shown in figure 5.
(1) In the formula(1), H-Durable operating time（H）; L-Standard necessary durable distance（km）; Rm-Tire effective radius（m）; im-Gear ratio in each condition; id-Final reduction gear ratio; Ne- Engine speed(r/min); -Speed in each condition(r/min); -Number of teeth in each condition.
Since tests of material fatigue data are obtained from smooth specimens, that fatigue strength parameters of smooth specimens and parts are very different.

Although there are a large number of papers which reported on foamed concrete , there is no data available on the use of WPSA and FRCA combined at different ratios with respect to compressive strength performance of lightweight foamed concrete.
Meanwhile, it can be observed that further increasing proportion of WPSA up to 30% ratio contributes the reduction in strength by the values of 43%, 19%, 22%, 20%, 12% and 15% at 3, 7, 28, 60, 90, and 180 days of curing time respectively as compared with those of the mixture containing 20% WPSA replacement.
The reduction in strength might be attributed to a higher content of WPSA that resulted in the retardation of strength due to the low value of pozzolanic reactivity of WPSA.

Weight reduction has been realized as a key priority and lightweight materials such as aluminum and magnesium are suggested to replace the traditional mild steel.
Furthermore, the quality of the formation could be improved [2]. 5xxx and 6xxx series aluminum sheet alloys are widely studied and already used in AIV(aluminum intensive vehicles) body-in-white manufacturing and show their excellent corrosion resistance, weldability, and weight reduction compared to steel [3,4,5].
The SEM observations on the fractured surfaces account for the change of tensile test and show good agreement with the data given in Fig.4 (b). 250℃ 250℃ 150℃ 50℃ Fig.5 SEM images of uniaxial tensile test fractures Constitutive equation.

Cleaning of data was performed according to a confidence index higher than 0.1.
This result allows to suppose that a straininduced mechanism of martensite formation is actually operating and that the reduction of the packet size in the central region is the consequence of the activation of a higher number of martensite nuclei per unit volume compared with the subsurface zones.
The effect of tempering temperature on hardness reduction is reported in Fig. 6 showing a loss of 100 HV10 with tempering temperature varying from 620°C to 680 °C.

SUSAN-SIFT algorithm （a）Rotation change experiments （b）Noise change experiments SIFT algorithm SUSAN-SIFT algorithm SIFT algorithm SUSAN-SIFT algorithm （c）Illumination change experiments （d）Affine change experiments Fig 1 Images matching contrast of SIFT algorithm and SUSAN-SIFT algorithm Table 1 Image matching results of SIFT algorithm and  SUSAN-SIFT algorithm Experimental Images Algorithm Name Feature points number Matching points Matching time[ms] Correct matching rate[%] Time reduced rates[%] Fig.1（a） SIFT algorithm 259 238 1862 91.89 NULL SUSAN-SIFT algorithm 75 66 682 88.00 63.37 Fig.1（b） SIFT algorithm 89 78 1328 87.64 NULL SUSAN-SIFT algorithm 46 40 609 86.96 54.14 Fig.1（c） SIFT algorithm 204 196 1752 96.08 NULL SUSAN-SIFT algorithm 35 33 586 94.29 66.55 Fig.1（d） SIFT algorithm 140 128 1643 91.43 NULL SUSAN-SIFT algorithm 38 34 596 89.47 63.72 It can be seen by the above four groups of experimental data
:  The matching time of SUSAN-SIFT algorithm is far less than the matching time of the SIFT algorithm in each group of the experiments, the reduction of the matching time is mainly caused by two reasons:  1) SUSAN-SIFT algorithm uses a faster algorithm than the SIFT algorithm for the part of the feature point detection, so that the speed of the feature point detection has been greatly improved.  2) SUSAN-SIFT algorithm is relatively simple algorithm to SIFT algorithm, the detected feature points  are generally  some of  the more obvious characteristics of the point, making the number of feature points are generally less than the number of feature points detected by the SIFT algorithm, it is because of the reduction of the number of feature points, the algorithm saves a lot of time in the parts of generating the descriptors of the feature points and matching feature points.

With faster speed and higher identification rate The basic idea of the object outline dimension reduction matching algorithms is: For a target with an obvious outline.
Fig. 2 The Diagram of the object outline dimension reduction matching algorithms System and Structure Camera access through the transmission chain bed threaded steel end video image, by visual inspection and Analysis on bar identification, tracking, count, when the nominal count full, control starting and stopping circuit so that the conveyor chain bed stops, and display, steel wire, steel workers for manual guide.
Proceedings of the International Symposium on Precision Mechanical Measurements. 6(3), 90-100 (2002) [4] Qing Chen, Xiaoli Yang, Jiying Zhao: “Robust image watermarking with Zernike moments,” IEEE. 5(1), 1340-1343 (2005) [5] Guangzhao Cui, Xianghong Cao: “Wavelet Packet Decomposition-Based Fuzzy Clustering Algorithm for Gene Expression Data,” IEEE. 6(2), 1027-1030 (2006) [6] X.

Then, the data of vanillin absorption of all treated cotton fabrics were evaluated by UV spectrophotometry in 200-400 nm range after 3, 7, 11, 15, 18, 22, 25 and 31 days.
UV spectra of cottons treated with 0-20% HP-β-CD and glyoxal (a) and Knittex (b); measured after 3 days As can be seen in Fig. 3, vanillin was slowly released from the treated fabric which is confirmed by the reduction of vanillin absorption over a period of 31 days.
Unfortunately, the use of high curing temperature in glyoxal crosslinking was accompanied by the reduction of tensile strength and whiteness of the treated fabrics.