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Grimm: Selection of materials for biomedical applications Handbook of Materials Selection, Edited by Myer Kutz, John Wiley & Sons, Inc., New York, (2002) [2] R.
Frankental: Encyclopedia of Materials: Science and Technology, 1, (2003) [3] J.
Kameyama:Key Engineering Materials, 284, (2005), p. 255
Miao: Materials Letters, 57, (2003), p. 1848 [14]XuebinZheng, Jianmin Shi, Xuanyong Liu, Chuanxian Ding: Journal of Ceramic Processing Research, 2, [4], (2001), p. 174 [15] M.
Lemons: Biomaterials Science, an introduction to materials in medicine, Academic Press, NY, (1996) [20] P.

Because of the reason of raw materials, the prices of two plates are higher.
Therefore sand and gravel raw materials need to be with higher whiteness, and clay requires higher whiteness, high strength.
Journal of Ceramics, 18-21 (1996): 17 [3] Jianxin Ying, Bin Zhang, Xin Cui.
Durable 3-5μm transmitting infrared window materials.
Ordnance Material Science and Engineering, 26-30 (2006): 29

Both can be used for material characterization due to their dependence on molecular structure of the material.
“Dielectric spectroscopy”, in Characterization of Composite Materials, Chapter, H.Ishida, Ed., Butterworth-Heinemann, Boston
“Frequency Domain Complex Permittivity Measuring at Microwave Frequencies”, Measurement Science and Technology.
An Analytical Laboratory experiment” Journal of Chemical Education.
“A comparative Study of Four Open-Ended Coaxial Probe Models for Permittivity Measurements of Lossy Dielectric/Biological Materials at Microwave Frequencies” IEEE Transaction on Microwave Theory and Techniques.

Among them, VOx and α-Si are most widely used materials due to their high temperature coefficient of resistance (TCR) and low temperature process.
A comparison of some materials is listed in table 1.
Thermal conductivity of some materials Materials Si SiO2 SiN α-Si Al PI Thermal conductivity (Wm-1K -1) 149 12 35 133 237 0.4 References [6] [6] [7] [7] [6] [7] Fabrication process The process steps of the uncooled IR α-Si detector are shown in Fig. 1.
Duan: IEEE Sensors Journal Vol. 7 (2007), p. 1703 [2] B.
Yi: Smart Materials and Structures Vol. 16 (2007), p. 696 [4] S.

Saiful Nizwan1 1Center of Excellence Geopolymer & Green Technology (CEGeoGTech), School of Materials Engineering, Universiti Malaysia Perlis, 02600 Jejawi, Perlis, Malaysia 2 Applied Chemistry Division, Faculty of Applied Science, Universiti Teknologi MARA, 02600 Arau, Perlis, Malaysia 3School of Bioprocess Engineering, Universiti Malaysia Perlis, 02600 Jejawi, Perlis, Malaysia 1ahmadazrem@unimap.edu.my Keywords: virgin CR, recycled CR, SBR, physical properties, scanning electron microscopy Abstract.
Experimental Materials.
The materials and their characteristics used in this study were illustrated in Table 1.
Table 1 : The characteristics of the materials Materials Description Source Styrene butadiene rubber (SBR) 1502 Bayer (M) Ltd Virgin chloroprene rubber (CRv) Tosoh Asia Pte.
The incorporation of CRv and CRr into the rubber matrix increased the stiffness of the vulcanizates because tensile modulus represents the materials stiffness.

Materials and Methods Study Area.
Feyen: Soil Science, 156 (1), 20-27, 1993
Liu: Journal of Hydrology, 319, 216-226, 2006
Moody: Journal of Hydrology, 381, 322-332, 2010
José: Journal of Hydrology, 515, 10-15, 2014

Materials.
Yang: Textile Science and Technology of Tianjin. (4)(2005), p. 15 [3] H.
Liu: Color Engineering. (1997) [5] Color Science Writing Group: Chromaticitytics, Beijing: Science Press (2000) [6] Q.
Jiao: Chromaticity, Beijing: Science Press (1979) [7] K.
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Improving Design of Muffler Based on Three-dimension Numerical Calculation of Fluid and Sound Field Haijun ZHAO1,a,Jiadong CHANG 1,b ,Hongjie ZHAO 2,c 1 Department of Mechanical Engineering, Luoyang Institute of Science and Technology, China 2 College of Vehicle and Power, Henan Science and Technology University, China a hjzhaoly@sina.com.cn, b changjiadong4882265@126.com, c zhj_cqu2005@sina.com.cn Key words: fluid field; sound field; muffler Abstract: Presence problem of exhaust muffler is anal sized, using three three-dimension numerical calculation of fluid and sound field improvement on original structure is performed, and improving results are certificated.
Muffler internal wall is simplified as adiabatic surfaces, muffler shell selection of material is iron, set the enclosure for the permeability of wall, velocity is 0, other settings successive e turbulence model selection standards of k silencing unit flow field analysis are set to consistent.
Acknowledgements This work was financially supported by the Base and Leading Technology Foundation of Henan Province(112300410141) and the Doctor Foundation of Luoyang Institute of Science and Technology.
[4] Xiufang Gao, Bengt Sunden: submitted to Experimental Thermal and Fluid Science (2004)
Kagawa: submitted to Journal of Sound and vibration, (2002).

Atmospheric correction of Landsat ETM+ remote sensing data using 6S code and its validation Xiaofeng Yang1, a , Xingping Wen2, b 1 Research Center for Analysis and Measurement, Kunming University of Science and Technology, Kunming, China 2 Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, China a wwffxxyy@gmail.com, b wfxyp2008@gmail.com Keywords: remote sensing, atmospheric correction, Landsat ETM+, 6S, validation Abstract.
Materials and methods Landsat ETM+ remote sensing data used in this paper was acquired in November 7, 2002 (122/44).
Correlation coefficient of bands after atmospheric correction Band 1 Band 2 Band 3 Band 4 Band 5 Band 7 Band 1 1.000000 0.955487 0.911011 -0.202031 0.317576 0.641398 Band 2 0.955487 1.000000 0.970191 -0.078133 0.432697 0.693485 Band 3 0.911011 0.970191 1.000000 -0.039717 0.525188 0.762570 Band 4 -0.202031 -0.078133 -0.039717 1.000000 0.713063 0.381947 Band 5 0.317576 0.432697 0.525188 0.713063 1.000000 0.888720 Band 7 0.641398 0.693485 0.762570 0.381947 0.888720 1.000000 Acknowledgment This study was jointly supported by the NSFC of Yunnan province, China (KKSA200921019), Scientific Research Foundation of Kunming University of Science and Technology (KKZ3200821048) and the innovation team of ore-forming dynamics and prediction of concealed deposits, Kunming University of Science and Technology, Kunming, China.
Abdrahman: Satellite remote sensing of groundwater: quantitative modelling and uncertainty reduction using 6S atmospheric simulations, International Journal of Remote Sensing, vol. 25 (2004), pp. 5509-5524

Materials and Methods Instruments.
Acknowledgements This work was financially supported by Shandong Province Soft Science Research Plan (2013RKB01268), A Project of Shandong Province Higher Educational Science and Technology Program (J13LC01), and the Shandong Jianzhu University Doctoral Fund (XNBS1007).
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