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Journal articles on the topic 'Surface impedance'

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Published: 4 June 2021
Last updated: 14 March 2023

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1

Zhu, Y., A. Bossavit, and S. Zouhdi. "Surface impedance models for high impedance surfaces." Applied Physics A 103, no. 3 (January 6, 2011): 677–83. http://dx.doi.org/10.1007/s00339-010-6201-3.

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2

Mende, F. F., A. I. Spitsyn, N. A. Kochkonyan, and A. V. Skugarevski. "Surface impedance of real superconducting surfaces." Cryogenics 25, no. 1 (January 1985): 10–12. http://dx.doi.org/10.1016/0011-2275(85)90086-4.

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3

EKREN, Nazmi, and Ali Samet SARKIN. "Semi-conductor Applications to Printed Circuits on Flexible Surfaces." Balkan Journal of Electrical and Computer Engineering 10, no. 3 (July 30, 2022): 273–77. http://dx.doi.org/10.17694/bajece.1094805.

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The most common type of identification system today is RFID. RFID circuits are used as covered with plastic. With the increase in usage areas, it is also used on metal, wood, paper, and plastic product. In this study, the behavior of the same circuit on different surfaces was investigated. The surface impedance and signal reflection coefficients of RFID tag antennas were investigated based on paper, plastic, and textile surfaces. According to the results of the electrical and mechanical tests, the best results in terms of reflectance coefficients and surface impedances of RFID tags are on PET surfaces. The surface impedance and the reflection coefficients were high on paper surfaces. The lowest values were measured on textile surfaces. According to the results, it has been seen that RFID antenna application on plastic, paper, and textile surfaces is possible and usable.
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4

Patel, Amit M., and Anthony Grbic. "Effective Surface Impedance of a Printed-Circuit Tensor Impedance Surface (PCTIS)." IEEE Transactions on Microwave Theory and Techniques 61, no. 4 (April 2013): 1403–13. http://dx.doi.org/10.1109/tmtt.2013.2252362.

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5

Tou, H., Y. Nakai, M. Doi, M. Sera, H. Sugawar, and H. Sato. "Surface impedance studies of ()." Physica B: Condensed Matter 378-380 (May 2006): 209–10. http://dx.doi.org/10.1016/j.physb.2006.01.078.

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6

Foley, Kyle J., Xiaonan Shan, and N. J. Tao. "Surface Impedance Imaging Technique." Analytical Chemistry 80, no. 13 (July 2008): 5146–51. http://dx.doi.org/10.1021/ac800361p.

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7

kaduskar, Vikas, and Shantanu Jagdale. "Analysis of High Impedance Surface Dimensions on Microstrip Patch Antenna." International Journal of Engineering and Technology 4, no. 6 (2012): 790–93. http://dx.doi.org/10.7763/ijet.2012.v4.485.

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8

Waddington, D. C., and R. J. Orlowski. "Determination of Acoustical Impedance of Absorbing Surfaces by Two-Microphone Transfer Function Techniques: Effect of Absorption Mechanism." Building Acoustics 4, no. 2 (June 1997): 99–115. http://dx.doi.org/10.1177/1351010x9700400203.

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In the third of a series of papers on the measurement of acoustical impedance of absorbing surfaces using the two-microphone transfer function technique, the influence of surface absorption mechanism upon the measured impedance is described. The results from measurements of the impedance of bulk reactors are compared with values obtained from theoretical models. Materials investigated are an inhomogeneous polyurethane foam, a distributed resonance absorber, and a twin layer foam. This paper also investigates how the measurement technique behaves with samples which are bulk reacting and have surface roughness. A rough surfaced polyurethane foam sample is used. The results indicate that at frequencies for which the surface irregularities are small in comparison to the wavelength, the material can be accurately characterised by the acoustical impedance acting at an effective plane. For higher frequencies it is thought that the measuring technique becomes inaccurate due to scattering of sound by the surface roughness, and the consequent breakdown of the sound field prediction methods.
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9

Wang, Qiang, and Kai Ming Li. "Surface waves over a convex impedance surface." Journal of the Acoustical Society of America 106, no. 5 (November 1999): 2345–57. http://dx.doi.org/10.1121/1.428072.

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10

Li, Chun-Feng, and Christopher Liner. "Wavelet-based detection of singularities in acoustic impedances from surface seismic reflection data." GEOPHYSICS 73, no. 1 (January 2008): V1—V9. http://dx.doi.org/10.1190/1.2795396.

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Although the passage of singularity information from acoustic impedance to seismic traces is now well understood, it remains unanswered how routine seismic processing, mode conversions, and multiple reflections can affect the singularity analysis of surface seismic data. We make theoretical investigations on the transition of singularity behaviors from acoustic impedances to surface seismic data. We also perform numerical, wavelet-based singularity analysis on an elastic synthetic data set that is processed through routine seismic processing steps (such as stacking and migration) and that contains mode conversions, multiple reflections, and other wave-equation effects. Theoretically, seismic traces can be approximated as proportional to a smoothed version of the [Formula: see text] derivative of acoustic impedance,where [Formula: see text] is the vanishing moment of the seismic wavelet. This theoretical approach forms the basis of linking singularity exponents (Hölder exponents) in acoustic impedance with those computable from seismic data. By using wavelet-based multiscale analysis with complex Morlet wavelets, we can estimate singularity strengths and localities in subsurface impedance directly from surface seismic data. Our results indicate that rich singularity information in acoustic impedance variations can be preserved by surface seismic data despite data-acquisition and processing activities. We also show that high-resolution detection of singularities from real surface seismic data can be achieved with a proper choice of the scale of the mother wavelet in the wavelet transform. Singularity detection from surface seismic data thus can play a key role in stratigraphic analysis and acoustic impedance inversion.
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11

Bryukhovetskii, A. S., and I. M. Fuks. "Effective impedance tensor of a statistically uneven impedance surface." Radiophysics and Quantum Electronics 28, no. 11 (November 1985): 977–83. http://dx.doi.org/10.1007/bf01040721.

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12

Mogensen, Gavin T., Hugo G. Espinosa, and David V. Thiel. "Surface Impedance Mapping Using Sferics." IEEE Transactions on Geoscience and Remote Sensing 52, no. 4 (April 2014): 2074–80. http://dx.doi.org/10.1109/tgrs.2013.2257801.

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13

Mugnai, D., and A. Ranfagni. "Propagation impedance of surface waves." Journal of Applied Physics 107, no. 8 (April 15, 2010): 086103. http://dx.doi.org/10.1063/1.3380523.

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14

Knockaert, Luc, and Daniel De Zutter. "Surface Impedance of Conducting Cylinders." Electromagnetics 17, no. 6 (November 1997): 589–604. http://dx.doi.org/10.1080/02726349708908564.

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15

Berthelot, Yves H. "Surface acoustic impedance and causality." Journal of the Acoustical Society of America 109, no. 4 (April 2001): 1736–39. http://dx.doi.org/10.1121/1.1352089.

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16

Quarfoth, Ryan, and Daniel Sievenpiper. "Artificial Tensor Impedance Surface Waveguides." IEEE Transactions on Antennas and Propagation 61, no. 7 (July 2013): 3597–606. http://dx.doi.org/10.1109/tap.2013.2254433.

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17

Beyermann, W. P., B. Alavi, and G. Grüner. "Surface impedance measurements inLa1.8Ba0.2CuO4−y." Physical Review B 35, no. 16 (June 1, 1987): 8826–28. http://dx.doi.org/10.1103/physrevb.35.8826.

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18

Bonn, D. A., S. Kamal, A. Bonakdarpour, Ruixing Liang, W. N. Hardy, C. C. Homes, D. N. Basov, and T. Timusk. "Surface impedance studies of YBCO." Czechoslovak Journal of Physics 46, S6 (June 1996): 3195–202. http://dx.doi.org/10.1007/bf02548130.

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19

Luo, Zhangjie, Xing Chen, Jiang Long, Ryan Quarfoth, and Daniel Sievenpiper. "Nonlinear Power-Dependent Impedance Surface." IEEE Transactions on Antennas and Propagation 63, no. 4 (April 2015): 1736–45. http://dx.doi.org/10.1109/tap.2015.2399513.

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20

Fisanov, V. V. "Surface Impedance of Isotropic Metamaterials." Russian Physics Journal 61, no. 5 (September 2018): 893–99. http://dx.doi.org/10.1007/s11182-018-1474-7.

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21

Risma, Yulda, and Elvaswer Elvaswer. "Optimasi Koefisien Absorpsi dan Impedansi Akustik Komposit Berbahan Dasar Serat Lumut (Moss) dengan Metode Tabung." Jurnal Fisika Unand 9, no. 2 (November 9, 2020): 196–201. http://dx.doi.org/10.25077/jfu.9.2.196-201.2020.

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Telah dilakukan penelitian untuk menentukan nilai koefisien absorpsi dan impedansi akustik menggunakan metode tabung pada komposit berbahan dasar serat lumut (Moss) dengan matriks resin epoksi. Perlakuan yang diberikan terhadap material akustik yaitu desain permukaan yang berbeda pada setiap sampelnya. Desain yang diberikan berupa permukaan tanpa alur, permukaan berlubang, permukaan alur garis, permukaan alur horizontal dan vertikal serta permukaan alur belah ketupat. Variasi frekuensi yang yang digunakan pada penelitian ini adalah 500 Hz, 1000 Hz, 1500 Hz, 2000 Hz dan 2500 Hz. Hasil penelitian ini menunjukkan bahwa koefisien absorpsi bunyi tertinggi terdapat pada desain permukaan alur belah ketupat yaitu 0,82 pada frekuensi 1000 Hz. Nilai impedansi akustik tertinggi terdapat pada desain permukaan berlubang yaitu 1,27 kg/m2s pada frekuensi 1000 Hz. Dengan demikian berdasarkan nilai koefisien absorpsi bunyi dan impedansi akustik maka serat lumut potensial digunakan sebagai material peredam bunyi. Research has been conducted to determine the value of the absorption coefficient and acoustic impedance using the tube method on moss-based composites (Moss) with epoxy resin matrix. The treatment given to the acoustic material is a different surface design in each sample. The design provided is in the form of a surface without grooves, perforated surfaces, surface grooves, horizontal and vertical grooves and rhombic grooves. Variaty frequency used in this study is 500 Hz, 1000 Hz, 1500 Hz, 2000 Hz and 2500 Hz. The results of this study indicate that the highest sound absorption coefficient is found in the surface design of the rhombic groove which is 0.82 at a frequency of 1000 Hz. The highest acoustic impedance value is found in the hollow surface design which is 1.27 kg/m2s at a frequency of 1000 Hz. Thus, based on the value of sound absorption coefficient and acoustic impedance, the moss fiber has the potential to be used as a sound dampening material.
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22

Ong, T. T., A. M. Marvin, and V. Celli. "General relation between surface impedance and surface curvature." Journal of the Optical Society of America A 11, no. 2 (February 1, 1994): 759. http://dx.doi.org/10.1364/josaa.11.000759.

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23

Wu, Z., and L. E. Davis. "Surface roughness effect on surface impedance of superconductors." Journal of Applied Physics 76, no. 6 (September 15, 1994): 3669–72. http://dx.doi.org/10.1063/1.357430.

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24

Shevchenko, V. V. "On focusing of surface waves on impedance guiding surfaces." Journal of Communications Technology and Electronics 62, no. 8 (August 2017): 865–67. http://dx.doi.org/10.1134/s1064226917080125.

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25

Thiel, David V., and Raj Mittra. "A self-consistent impedance method for electromagnetic surface impedance modeling." Radio Science 36, no. 1 (January 2001): 31–43. http://dx.doi.org/10.1029/1999rs002312.

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26

Liu, Wang Sheng, Ya An Li, Lin Cui, and Ming Huan Wang. "The Mutual Impedance Analysis of a Broadband Dense Plane Array." Advanced Materials Research 443-444 (January 2012): 1019–25. http://dx.doi.org/10.4028/www.scientific.net/amr.443-444.1019.

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Due to the mutual radiation impedance may influence acoustics performance of a broadband dense plane array seriously, the expression of mutual radiation impedance among the transducers is developed according to the definition of mutual radiation impedance based on BEM（Boundary Element Method）. BEM model is established for acoustic radiation of a broadband dense plane array with nine elements. Sound pressure distribution of the nine-element array is solved using SYSNOISE software. And mutual radiation impedances are calculated on the condition of knowing surface normal velocity. Acoustic performance of the nine-element array is analysed through mutual radiation impedance. The influence of mutual impedance on acoustics performance for nine-element array is verified by comparing with measured curve of transducer conductance. The results show that it is successful to calculate mutual impedance of the array and predict acoustics performance using BEM.
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27

Kaganova, Inna M. "The impedance boundary conditions and effective surface impedance of inhomogeneous metals." Physica B: Condensed Matter 338, no. 1-4 (October 2003): 38–43. http://dx.doi.org/10.1016/s0921-4526(03)00455-1.

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28

James, D. A., S. G. O'Keefe, and D. V. Thiel. "Eddy current modelling using the impedance method for surface impedance profiling." IEEE Transactions on Magnetics 35, no. 3 (May 1999): 1107–10. http://dx.doi.org/10.1109/20.767140.

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29

Li, Mingliang, A. A. A. Molenaar, M. F. C. van de Ven, and Wim van Keulen. "Mechanical Impedance Measurement on Thin Layer Surface With Impedance Hammer Device." Journal of Testing and Evaluation 40, no. 5 (August 2012): 20120089. http://dx.doi.org/10.1520/jte20120089.

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30

Groom, R. W., and R. C. Bailey. "Analytic investigations of the effects of near‐surface three‐dimensional galvanic scatterers on MT tensor decompositions." GEOPHYSICS 56, no. 4 (April 1991): 496–518. http://dx.doi.org/10.1190/1.1443066.

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An outcropping hemispherical inhomogeneity embedded in a two‐dimensional (2-D) earth is used to model the effects of three‐dimensional (3-D) near‐surface electromagnetic (EM) “static” distortion. Analytical solutions are first derived for the galvanic electric and magnetic scattering operators of the heterogeneity. To represent the local distortion by 3-D structures of fields which were produced by a large‐scale 2-D structure, these 3-D scattering operators are applied to 2-D electric and magnetic fields derived by numerical modeling to synthesize an MT data set. Synthetic noise is also included in the data. These synthetic data are used to study the parameters recovered by several published methods for decomposing or parameterizing the measured MT impedance tensor. The stability of these parameters in the presence of noise is also examined. The parameterizations studied include the conventional 2-D parameterization (Swift, 1967), Eggers’s (1982) and Spitz’s (1985) eigenstate formulations, LaTorraca et al.’s (1986) SVD decomposition, and the Groom and Bailey (1989) method designed specifically for 3-D galvanic electric scattering. The relationships between the impedance or eigenvalue estimates of each method and the true regional impedances are examined, as are the azimuthal (e.g., regional 2-D strike, eigenvector orientation and local strike) and ellipticity parameters. The 3-D structure causes the conventional 2-D estimates of impedances to be site‐dependent mixtures of the regional impedance responses, with the strike estimate being strongly determined by the orientation of the local current. For strong 3-D electric scattering, the local current polarization azimuth is mainly determined by the local 3-D scattering rather than the regional currents. There are strong similarities among the 2-D rotation estimates of impedance and the eigenvalue estimates of impedance both by Eggers’s and Spitz’s first parameterization as well as the characteristic values of LaTorraca et al. There are striking similarities among the conventional estimate of strike, the orientations given by the Eggers’s, Spitz’s (Q), and LaTorraca et al.’s decompositions, as well as the estimate of local current polarization azimuth given by Groom and Bailey. It was found that one of the ellipticities of Eggers, LaTorraca et al., and Spitz is identically zero for all sites and all periods, indicating that one eigenvalue or characteristic value is linearly polarized. There is strong evidence that this eigenvalue is related to the local current. For these three methods, the other ellipticity differs from zero only when there are significant differences in the phases of the regional 2-D impedances (i.e., strong 2-D inductive effects), implying the second ellipticity indicates a multidimensional inductive response. Spitz’s second parameterization (U), and the Groom and Bailey decomposition, were able to recover information regarding the actual regional 2-D strike and the separate character of the 2-D regional impedances. Unconstrained, both methods can suffer from noise in their ability to resolve structural information especially when the current distortion causes the impedance tensor to be approximately singular. The method of Groom and Bailey, designed specifically for quantifying the fit of the measured tensors to the physics of the parameterization, constraining a model, and resolving parameters, can recover much of the information in the two regional impedances and some information about the local structure.
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31

Orugu, Rangarao, Srilatha Gundapaneni, N. Maryleena, and A. K.Chaithanya Varma. "Varying operating frequency of concentric circular ring patch antenna using high impedance surface." International Journal of Engineering & Technology 7, no. 3.29 (August 24, 2018): 57. http://dx.doi.org/10.14419/ijet.v7i3.29.18461.

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In this paper, we design a concentric circular patch antenna excited by microstrip feed and operates at 5.4269 GHz and 6.9419 GHz. After designing the antenna, we would like to tune the frequency without changing antenna size. For that purpose, we use high impedance surface structure to tune the antenna at two different frequencies. A simple mushroom like structure is used as high impedance surface. We will analyze antenna parameters like return loss, gain, directivity, radiation patterns, efficiency, proposed antenna with and without high impedance surfaces and compare the results.
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32

Cobb, Faith A., Andrea Vecchiotti, Joseph Vignola, Diego Turo, and Teresa J. Ryan. "Acoustic surface impedance of sandy shores." Journal of the Acoustical Society of America 150, no. 4 (October 2021): A198. http://dx.doi.org/10.1121/10.0008116.

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33

Pöpel, R. "Surface impedance and reflectivity of superconductors." Journal of Applied Physics 66, no. 12 (December 15, 1989): 5950–57. http://dx.doi.org/10.1063/1.343622.

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34

Drabeck, L., G. Grüner, Jhy-Jiun Chang, A. Inam, X. D. Wu, L. Nazar, T. Venkatesan, and D. J. Scalapino. "Millimeter-wave surface impedance ofYBa2Cu3O7thin films." Physical Review B 40, no. 10 (October 1, 1989): 7350–53. http://dx.doi.org/10.1103/physrevb.40.7350.

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35

O'Keefe, Y., D. V. Thiel, and S. G. O'Keefe. "Time-Dependent Surface Impedance From Sferics." IEEE Geoscience and Remote Sensing Letters 2, no. 2 (April 2005): 104–7. http://dx.doi.org/10.1109/lgrs.2004.843206.

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36

Jin, B. B., N. Klein, W. N. Kang, Hyeong-Jin Kim, Eun-Mi Choi, Sung-I. K. Lee, T. Dahm, and K. Maki. "Microwave surface impedance of MgB2thin film." Superconductor Science and Technology 16, no. 2 (January 3, 2003): 205–9. http://dx.doi.org/10.1088/0953-2048/16/2/314.

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37

Xiao, B. P., C. E. Reece, and M. J. Kelley. "Superconducting surface impedance under radiofrequency field." Physica C: Superconductivity 490 (July 2013): 26–31. http://dx.doi.org/10.1016/j.physc.2013.04.003.

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38

Saint-Paul, M., C. Guttin, A. Abbassi, Zhao-Sheng Wang, Huiqian Luo, Xingye Lu, Cong Ren, Hai-Hu Wen, and K. Hasselbach. "Surface impedance of BaFe2−xNixAs2 crystals." Solid State Communications 185 (May 2014): 10–13. http://dx.doi.org/10.1016/j.ssc.2014.01.014.

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39

Ormeno, R. J., M. Hein, G. Yang, and C. E. Gough. "The surface impedance of GdBa2Cu3O7−δ." Physica C: Superconductivity 341-348 (November 2000): 2689–90. http://dx.doi.org/10.1016/s0921-4534(00)01477-5.

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40

Ong, T. T., V. Celli, and A. A. Maradudin. "The impedance of a curved surface." Optics Communications 95, no. 1-3 (January 1993): 1–4. http://dx.doi.org/10.1016/0030-4018(93)90037-6.

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41

Portis, A. M., D. W. Cooke, and H. Piel. "Microwave surface impedance of granular superconductors." Physica C: Superconductivity and its Applications 162-164 (December 1989): 1535–36. http://dx.doi.org/10.1016/0921-4534(89)90809-5.

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42

Mao, Jian, D. H. Wu, J. L. Peng, R. L. Greene, and Steven M. Anlage. "Anisotropic surface impedance ofYBa2Cu3O7−δsingle crystals." Physical Review B 51, no. 5 (February 1, 1995): 3316–19. http://dx.doi.org/10.1103/physrevb.51.3316.

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43

Golubov, A. A., and A. E. Koshelev. "Surface magnetic impedance of granular superconductor." Physica C: Superconductivity and its Applications 162-164 (December 1989): 399–400. http://dx.doi.org/10.1016/0921-4534(89)91074-5.

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44

Hou, M. K., C. Y. Huang, M. B. Maple, M. S. Torikachvili, and H. C. Hamaker. "Surface impedance of several magnetic superconductors." Journal of Magnetism and Magnetic Materials 59, no. 3-4 (June 1986): 247–49. http://dx.doi.org/10.1016/0304-8853(86)90419-1.

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45

Wilen, L., and R. Giannetta. "Impedance methods for surface state electrons." Journal of Low Temperature Physics 72, no. 5-6 (September 1988): 353–69. http://dx.doi.org/10.1007/bf00682147.

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46

Mighani, Mojtaba. "A NOVEL SURFACE WAVE DIPLEXER BASED ON TENSOR IMPEDANCE SURFACES." Progress In Electromagnetics Research C 118 (2022): 1–10. http://dx.doi.org/10.2528/pierc21120206.

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47

Berry, A., and J. Nicolas. "Prediction of the surface impedance of depth‐varying ground surfaces." Journal of the Acoustical Society of America 80, S1 (December 1986): S90. http://dx.doi.org/10.1121/1.2024034.

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48

Davies, R. W., I. L. Morrow, J. F. Cooper, and I. Youngs. "Frequency-selective surface composed of aperture-coupled high-impedance surfaces." Microwave and Optical Technology Letters 48, no. 6 (2006): 1022–25. http://dx.doi.org/10.1002/mop.21589.

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49

Mucha, A., M. Schienle, and D. Schmitt-Landsiedel. "A CMOS integrated impedance-to-frequency converter for sensing cellular adhesion." Advances in Radio Science 9 (August 1, 2011): 281–87. http://dx.doi.org/10.5194/ars-9-281-2011.

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Abstract. Sensing cellular adhesion via impedance measurements provides a versatile and easily accessible means for monitoring in-vitro cell cultures. Previous works used external electronics connected via cables to microelectrodes to achieve this goal, thus incurring parasitic impedance, electromagnetic interference, and bulky measurement setups. In this work we present a CMOS impedance-to-frequency converter integrated with biocompatible planar surface electrodes to make a compact and robust sensor chip for in-vitro cell monitoring. The system features an 8×8 array of individually addressable electrodes connected to four impedance-to-frequency converter circuits with externally adjustable biasing and square wave output. We present first measurement results obtained with the integrated electronics that demonstrate the successful operation of the system and show good agreement with models of the electrode and cell impedances.
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50

Chartrand, D. A., J. M. Maarek, T. H. Ye, and H. K. Chang. "Lung and chest wall mechanics in rabbits during high-frequency body-surface oscillation." Journal of Applied Physiology 68, no. 4 (April 1, 1990): 1722–26. http://dx.doi.org/10.1152/jappl.1990.68.4.1722.

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In eight anesthetized and tracheotomized rabbits, we studied the transfer impedances of the respiratory system during normocapnic ventilation by high-frequency body-surface oscillation from 3 to 15 Hz. The total respiratory impedance was partitioned into pulmonary and chest wall impedances to characterize the oscillatory mechanical properties of each component. The pulmonary and chest wall resistances were not frequency dependent in the 3- to 15-Hz range. The mean pulmonary resistance was 13.8 +/- 3.2 (SD) cmH2O.l-1.s, although the mean chest wall resistance was 8.6 +/- 2.0 cmH2O.l-1.s. The pulmonary elastance and inertance were 0.247 +/- 0.095 cmH2O/ml and 0.103 +/- 0.033 cmH2O.l-1.s2, respectively. The chest wall elastance and inertance were 0.533 +/- 0.136 cmH2O/ml and 0.041 +/- 0.063 cmH2O.l-1.s2, respectively. With a linear mechanical behavior, the transpulmonary pressure oscillations required to ventilate these tracheotomized animals were at their minimal value at 3 Hz. As the ventilatory frequency was increased beyond 6-9 Hz, both the minute ventilation necessary to maintain normocapnia and the pulmonary impedance increased. These data suggest that ventilation by body-surface oscillation is better suited for relatively moderate frequencies in rabbits with normal lungs.
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