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For the eye, the mirror’s reduction factor is cosλ in width[3].
Similarly, the binocular visual angle is: θ2=2[2tan-1w2r + tan-1wcosλ-D2s] （7） 3 The arrangement of rear view mirrors 3.1 The legal demand of rear view mirrors The rear vision of rear view mirrors is fulfilled to GB15084—2006. 1）The side outer rear view mirror vision: The driver can see a least visual range of 2.5m on the horizontal road via rear view mirror, which right-side is paralleled to longitudinal datum, and tangent with left-side outer point, extended to the horizon from the driver sight level after 10m. 2）vision of outer rear view mirror of copilot side: The driver can see a least visual range of 4m on the horizontal road via rear view mirror, which left-side is paralleled to longitudinal datum, and tangent with right-side outer point, extended to the horizon from the driver sight level after 20m. 3）the inner rear view mirror (type 1) can be seen at least visual range of 20m on the horizontal road via rear view mirror,which
center plane is longitudinal datum, extended to the horizon from the driver sight level after 60m. 3.2 The installation angle of rear view mirror The installation angle of outer rear view mirrors μ (included angle between mirror center normal of rear view mirror and car direction) has a great influence on the vision of drivers.
The outer mirror of vehicle driver's side must be assembled in the limit that included angle between the line , which is over the middle point of rear view mirror and the center of two eyes connection line , and longitudinal datum is less than 55°；while that of copilot side is less than 75°,shown in Fig. 5.

For this reason, the use of not relying on a mathematical model of fuzzy control algorithm to analyze vehicle data, achieving effective control of traffic lights.
For the detection to the different waveform data.
For standard features from 1 index value to c-level reduction indicators, so that less than or equal to the index value of c-class standard features relative membership degree A is 0, so that equals or greater than the index l eigenvalues of A-level standards of relative membership degree is 1.

For neutronic calculations software MCU-PTR [4] was used, which was designed for precision modeling of transport processes of neutrons and photons by analog and weight (non-analog) Monte Carlo method based on the evaluated nuclear data in nuclear reactors considering changes in the isotopic composition of reactor materials during the campaign.
Constant support of the MCU program is based on the nuclear data library MCUDB50.
This reduction reduces the efficiency of the reactor, and requires measures to compensate for this effect.

Introduction Transition metal phosphides have been of much interest in recent decades owning to their unique properties and potential applications in many fields, such as magnetic, photonic, electronic, and data storage devices.[1-2] Especially, metal-rich phosphides can also improve conductivity of lithium-ion battery.[3] Among them, nickel phosphides with the ratio of Ni/P > 1 such as Ni2P, Ni3P, Ni5P2, Ni8P3 and Ni12P5, have broad industrial applications, especially in the field of catalysis.[4-6] Additionally, transition metal phosphides are a group of stable, sulfur-resistant metallic compounds and are considered to be a new class of highly active hydroprocessing and degradation catalysts that have substantial promise as the next generation catalysts [7-8].
Ni2P is one of the most active catalysts for hydrodesulfurization and hydrodenitrogenation. [9-10] The transition metal phosphides were traditionally prepared through the hydrogen-reduction of metal phosphate precursors at high temperature [11-12].
It was clear that at 160◦C, all diffraction peaks of the product can be indexed as the hexagonal Ni2P phase by comparison with the data of the JCPDS Card Files No. 89-4864 (Fig. 1, down).

This negative effect could be restrained by two methods: 1) reduction of the tetragonal leucite grain size dispersed in the matrix below a critical leucite particle size as Mackert et al. published previously [2]; 2) stabilization of cubic leucite - Rasmussen at al. supposed possible transformation toughening which can occur in Cs2O stabilized leucite ceramic [3].
Data were scanned with an ultrafast detector X'Celerator over the angular range 5-60° (2θ) with a step size of 0.02° (2θ) and a counting time of 0.3 s step-1.
Data evaluation was performed in the software package HighScore Plus.

Unlike the other solutions like RF coil motion [4] or use of two RF coils, this design combines structural simplicity with accurate and immediate control of the axial component of the temperature gradient together with reduction of the radial component.
Temperature distribution, crystal thickness, shape, and power input were in good correlation with experimental data.
Finally, defect generation rates during growth could be estimated by VR simulations and compared to experimental data.

Introduction According to China's third census data show that the rate of China's urbanization nearly 50%, and in the "Eleventh Five-Year" period it showed a rapid increase trends in urban population.
The consumers to buy electric vehicles there consumer surplus, including: the benefits of energy conservation and the ability to pay determined by the self-consumption of clean energy vehicles remaining at the same time, there are social benefits - annual emission reduction obtained after bon trading income.
From a macro perspective, according to BYD's electric vehicle published data in it’s site, the electric vehicle electricity consumption per hundred kilometers of 7 million, The general fuel consumption of motor vehicles 56 per hundred kilometers (ie, average miles per vehicle fuel consumption by the price of petrol per liter: 7 Yuan / liter × 8 liter / hundred kilometers).

Introduction As one of key technologies against the global warming, weight reduction of automobile is inevitable technological development for our generation and highly porous aluminum panels are of special interest because of their energy absorption in crash situation and additional rigidity increment in channels or pillars [1-2].
The cell number, size and shape of each cell were calculated from the identified cell data of the reconstructed images.
Though real deformation deviates from ideal one, the discrepancy between CT-data and ideal was not so small.

The graph contains data of sample mass loss (TG curve), a differential-thermogravimetric mass loss curve-the rate of mass loss (DTG curve) and the DTA curve, on which the thermal effects that have occurred are recorded.
Analyzing the obtained data, it is possible to judge the proceeding reactions, at what temperatures occurs one or another process, what is the duration of the process.
This weight reduction also reflects the curves of DTA and DTG.

By operating the model with data from 2002 to 2006, the accuracy is verified.
Traditional mathematical statistics method requiring large sample data is also not suitable in this situation [1].
After disposing by residual model, shift down the data in the meantime.
Data Sources.
Specific data is shown in Table 3.