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B. Influences of powder content on the impedance of composite film Table I is the influences of powder content on the impedance of composite film at 0.6kHz . Known from table, the impedance of composite film decreases with the powder content increases. The impedance of composite film is consisting of resistance and reactance. Resistance is mainly depending on the degree of perfection (resistivity) of amorphous powder particle chains forming in the rubber base and the effective length of composite film that the current flows through;reactance of composite film is decided by the capacitance, which mainly depends on the thickness of composite film and the AC frequency.So the impedance of composite film is: Z + 2 2 = R X (2) The powder content is defined as P ,the composite film resistivity and dielectric constant decrease with the bigger powder content P ,it means that,the resistance and resistance decreases with the bigger powder content P , so the impedance of composite film decreases along with the powder content P increases. Table I Influences of powder content on the impedance of composite film Z/ kΩ σ/MPa 1:3 1:4 1:5 1:6 0 2159.39 1439.92 1397 938.626 0.065 2153.53 1425.87 1393.65 936.747 0.108 2153.24 1423.35 1393.31 936.32 0.147 2152.77 1422.75 1392.94 935.79 0.201 2152.72 1421.83 1392.52 935.294 0.397 2151.69 1420.89 1391.43 934.167 0.607 2150.72 1420.23 1390 933.391 0.802 2150.69 1417.21 1389.14 932.184 0.992 2150.04 1415.58 1388.55 931.797 1.182 2149.53 1412.13 1387.99 931.366 Figure 2 is the influences of powder content on the rangeability of impedance of composite film at 0.6kHz. Known from Figure, the rangeability of impedance increases first and then decreases with increasing powder content; it is the biggest When the powder with butyl rubber according to the mass ratio of 4 to 1. The resistance of composite film R and the reactance of composite film X is inversely proportional to powder dC dD content P , so supposed R = , X = , where P P C 、 D are constants, and according to equation (2)and equation (1) , the impedance of composite film is: d C 2 2 + D Z = (3) P the rangeability of impedance of composite film is: 2 2 ( d 0−dσ ) Δ Z = C + D (4) P The elastic modulus of composite film increased With the P increases ,and the deformation of composite film decreases under constant stress, it means that, decreases with the P increase; so supposed E d = P d σ σ , where E is constant; d 0 is constant ,according to equation (4), the rangeability of impedance of composite film is : E ( d 0− ) 2 2 P 2 2 ( d 0P − E) Δ Z = C + D = C + D (5) 2 P P 2 d( ΔZ) 2 2 (2PE −d 0P ) = C + D 4 dP P When 2E d( ΔZ) P < , > 0 d dP 0 , ΔZ increases 2E with powder content P increase;While P > , d 0 d( ΔZ) < 0 , Δ Z decreases with powder content P dP increase. ΔZ/kΩ 30 25 20 15 10 5 1:3 1:4 1:5 1:6 0 0.0 0.2 0.4 0.6 0.8 1.0 1.2 stress/MPa Figure 2 Influences of powder content on the rangeability of impedance of composite film IV. CONCLUSIONS Large piezomagnetic effect of Fe-based amorphous ribbon can be produced only at high frequency, while it can be produced at low frequency in soft magnetic composite films prepared with IIR as base and amorphous powders grinded from iron-based amorphous ribbon as composite phase.. the impedance of composite film decreases with the morer powder content; the rangeability of impedance increases first and then decreases with increasing powder content, the rangeability of impedance is the biggest When the powder with butyl 48
ubber according to the mass ratio of 4 to 1. From the view point of the sensors application, low-frequency signals circuit can be easier to achieved than highfrequency and the composite films has small permeability, magnetic fields insensitivity and the compressive stress sensitivity. So these flexible soft magnetic composite films are expected to become the new generation sensitive material for sensors. REFERENCES [1] H Chazal, O Geoffroy, J L Porteseil, and T Waeckerle, “Infuence of magnetoelastic effects on the coercivity of ultrasoft nanocrystalline alloys,”Journal of Magnetism and Magnetic Materials, vol.272, pp. 1436-1438, 2004 [2] J M Barandiaran, J Gutierrez ,and C Gomez-Polo, “New sensors based on the magnetoelastic resonance of metallic glasses,” Sensors and Actuators, vol..272, pp. 154-157, 2004. [3] MA Guang-bin, Zhu Zheng-hou,and Li Tang-hua., “Study on preparation and piezomagnetic property of FeCuNbSiB/silicone rubber magnetic compound films,” Journal of Functional Materials, vol.11, pp. 737-739,May 2007 [4] Li Tang-hua,Zhu Zheng-hou, and Ma Guang-bin, “A new piezomagnetic film,” Journal of Functional Materials, vol.38, pp. 1787-1789,November 2007 [5] Wan Zhen-zhen, Zhu Zheng-hou,and Li Tang-hua, “Study on piezomagnetic property of FeCuNbSiB /butyl rubber composite film. Journal of Functional Materials”, vol . 39, pp. 1494-1496,September 2008 [6] Jiang Daguo,Yu Xiaoguang,and Zhu Zhenghou. “Influence of Annealing Process on the Stress Impedance of FeSiB Amorphous Alloy Ribbons,” Rare Metal Materials and Engineering,2008.3: 440-443. [7] Jiang Daguo,Zhu Zhenghou,and Ma Guang-bin, “Compression stress impedance properties of FeSiB amorphous alloy's ribbon,”Journal of Functional Materials, vol . 38, pp.911-913,June 2007. [8] Ma Guang-bin,Zhu Zhenghou,and Huang Yu-hong, “Piezomagnetic properties of the FeCoSiB alloy ribbons,” Journal of Functional Materials,vol. 38, pp.1071-1073,July 2007: 49
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Proceedings The Second Internationa
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Table of Contents Message from the
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Zuming Xiao, Zhan Guo, Bin Tan, and
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Page 13 and 14: model that can deal with time serie
Page 17 and 18: training for the Wushu competition
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Page 23 and 24: Student side Student side Student s
Page 27 and 28: If we define element of student as
Page 31 and 32: QoS, each frame data is divided int
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Page 39 and 40: A. Profiling&following control algo
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Page 61 and 62: Ⅲ. AN IMPROVED DNA ALGORITHM FOR
Page 63 and 64: Ⅴ.CONCLUSION REMARKS DNA computer
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oth α and β . determination of Qu
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ISBN 978-952-5726-09-1 (Print) Proc
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Strong earthquake 0.1< M L
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ISBN 978-952-5726-09-1 (Print) Proc
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indirect causes, and the logical re
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egression. Granger causality test i
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B. Evaluation We have evaluated thi
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used as a source and neighboring ce
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Figure 3. Drainage networks generat
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Combinational logic unit failures i
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Tabal.1 Combinational fault logic t
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under the endorsement of both the m
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TABLE I. DESCRIPTION OF PROPOSITION
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Figure 2. The process of the invers
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Figure 9. (a)the original image.(b)
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ISBN 978-952-5726-09-1 (Print) Proc
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In order to reduce to the number of
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ISBN 978-952-5726-09-1 (Print) Proc
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that studying being going to be to
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Reference[10] analyzed the evolutio
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module, communication module, apper
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After the comprehensive performance
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system testing can be seen that the
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III. AUTONOMIC RESOURCE ALLOCATION
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The QoE i (T i ) is the ith user’
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nodes will be formed one cluster, t
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Where n is the number of data point
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Keyboard event Application User mod
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SQL Azure will eventually include a
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ISBN 978-952-5726-09-1 (Print) Proc
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The nodes in the suffix tree are dr
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[3] Y. Li, S. M. Chung, and J. D. H
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some drilling fluid produces hydrog
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"normalization", whose membership b
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and minimum structural elements in
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esults of the spatial transform par
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B. Research on protocol actions Com
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ACKNOWLEDGMENT This work is funded
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A. Problem Description In a small b
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[4] Huang, Hung, and J. Y. jen Hsu.
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Further by calculating, the followi
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TABLE II. THE CONCENTRATION BETWEEN
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private key that obtained by using
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ontology, and the domain dictionary
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Eq.4 is NP-hard and can be solved b
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Where: G i is the selection field o
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If there is X j in a generation, wh
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Theorem 2.4([10]). Let L 1 and L 2
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The relation between the lattice im
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Figure 2. Example of single-step de
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evocation and the fourth group stor
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focused mainly on rule-based forms
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Ⅵ. CONCLUSION Figure 6. The Flask
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EDCF in comparison with DCF, has so
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B. Simulation results and analysis
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in routing table. When search resou
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others through the selective emotio
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such as weather information, techno
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the opening window, a related page
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1) Process context storage areas. I
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V. CONCLUSION In this thesis, sCPU-
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main types of horizontal search env
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Enterprise Portal security provides
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() t = [ S () t S () t ] T N S ,...
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[2] Kumaravel, N., and Kavitha, V.,
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output, so BP network has been wide
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input to the artificial neural netw
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(2) In a process (tokens from outsi
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The reduction process consists of t
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all eight normal vectors are identi
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is B object , and the number of emp
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xi, j y' = εα ( (1 + tanh( )) −
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Error 8000 7000 6000 5000 4000 3000
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Architecture (AMBA) a new bus archi
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In order to ensure the smooth proce
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In this paper, we adopt two Sobel o
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four layers.The far right of the gr
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TABLE II. OPERATIONAL EMPLOYEE TABL
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A. Object-relational Type To audit
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to execution time. Also, DBA would
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Liping Chen .......................
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