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Relevant bibliographies by topics / Electromagnetic bias

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Academic literature on the topic 'Electromagnetic bias'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Electromagnetic bias"

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Elfouhaily, T., D. R. Thompson, B. Chapron, and D. Vandemark. "Improved electromagnetic bias theory." Journal of Geophysical Research: Oceans 105, no. C1 (January 15, 2000): 1299–310. http://dx.doi.org/10.1029/1999jc900277.

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Wertheimer, Nancy, and Ed Leeper. "Bias in studies of electromagnetic fields." Journal of Clinical Epidemiology 47, no. 9 (September 1994): 1081–83. http://dx.doi.org/10.1016/0895-4356(94)90124-4.

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Melville, W. K., R. H. Stewart, W. C. Keller, J. A. Kong, D. V. Arnold, A. T. Jessup, M. R. Loewen, and A. M. Slinn. "Measurements of electromagnetic bias in radar altimetry." Journal of Geophysical Research 96, no. C3 (1991): 4915. http://dx.doi.org/10.1029/90jc02114.

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Cao, Yang, Ming Zong, and Jing Zhang. "Electromagnetic Force Modelling for Hybrid Magnetic Bearing." Advanced Materials Research 383-390 (November 2011): 7428–32. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.7428.

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In this paper, a novel structure of hybrid magnetic bearing with PM bias and inductance displacement sensor is proposed. The operating principle of the hybrid magnetic bearing with PM bias is introduced. The Electromagnetic Force Model is built in the paper, which is useful for the hybrid magnetic bearing control. An example is given. The analysis of finite element method shows that the structure of the hybrid magnetic bearing with PM bias proposed in the paper is feasible and the calculation method for hybrid magnetic circuit is correct.

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Elfouhaily, T., D. R. Thompson, B. Chapron, and D. Vandemark. "Improved electromagnetic bias theory: Inclusion of hydrodynamic modulations." Journal of Geophysical Research: Oceans 106, no. C3 (March 15, 2001): 4655–64. http://dx.doi.org/10.1029/1999jc000086.

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Liang, Liping, Kejun Xu, Ran Zhang, and Zhen Zhang. "Threshold control based bias adjustment method for electromagnetic flowmeter." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 27, no. 1 (November 29, 2013): 89–96. http://dx.doi.org/10.3724/sp.j.1187.2013.00089.

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Rodríguez, Ernesto, and Jan M. Martin. "Estimation of the electromagnetic bias from retracked TOPEX data." Journal of Geophysical Research 99, no. C12 (1994): 24971. http://dx.doi.org/10.1029/94jc02029.

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Arnold, D. V., W. K. Melville, R. H. Stewart, J. A. Kong, W. C. Keller, and E. Lamarre. "Measurements of electromagnetic bias at Ku and C bands." Journal of Geophysical Research 100, no. C1 (1995): 969. http://dx.doi.org/10.1029/94jc02587.

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Branger, H., A. Ramamonjiarisoa, and L. F. Bliven. "A Ku-band laboratory experiment on the electromagnetic bias." IEEE Transactions on Geoscience and Remote Sensing 31, no. 6 (1993): 1165–79. http://dx.doi.org/10.1109/36.317446.

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Simbolon, Tuaraja. "Theoretical Study of Negative Material Bias Index Symptoms." Journal of Technomaterials Physics 2, no. 1 (February 28, 2020): 7–14. http://dx.doi.org/10.32734/jotp.v2i1.5204.

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Theoretical research on the phenomenon of negative refractive index materialwas cunducted. The material is a known metamaterial that can manipulate electromagneticwaves through it. By changing the permeability and permittivity of a medium that is worthimaginary, then the value is included in the equation will produce a refractive index that isnegative. This value can be achieved through material forms are designed so that themagnetic field and electric field manipulation. The equation used on electromagnetic wavesthat Maxwell's equations, is revealed to be some similarities propagation magnetic field andelectric field. The Methods Finite Difference Time Domain (FDT D) as a modifier equationwas then equations analysis, simulated using MatlabR2014 program. Based on simulationresults, visible when the electromagnetic waves through a material metamaterial, the wavesare deflected, do not pass part of the material covered.

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Dissertations / Theses on the topic "Electromagnetic bias"

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Millet, Floyd W. "Improving Electromagnetic Bias Estimates." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd525.pdf.

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Slinn, Anne Marie. "Electromagnetic bias in Geosat altimetry." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/42482.

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Arnold, David V. (David Verl). "Electromagnetic bias in radar altimetry at microwave frequencies." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12853.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.
Includes bibliographical references (leaves 176-180).
by David V. Arnold.
Ph.D.

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Ghavidel, Ali. "Contributions to the determination of electromagnetic bias in Gnss-R altimetry." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/312844.

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In this Ph. D. dissertation the electromagnetic bias in GNSS-R (Global Navigation Satellite Systems Reflectometry) altimetry has been studied. GNSS-R altimetry is a new type of system that uses navigation signals as signals of opportunity for Earth observation. The electromagnetic bias has been a topic of research for several decades in conventional radar altimetry, typically at C and Ku bands, and pointing in the nadir direction, but it is a new subject in altimetry GNSS-R. Previous studies on the electromagnetic bias have been first reviewed: the Weakly Non-Linear theory (WNL), the Modulation Transfer Function (MTF), and a combination of both models. After a brief study of both the WNL and the MTF, a combined method is selected, simulated and validated at Ku and C bands, and then extrapolated at L band, the band of the GNSS signals. Then, the EM bias is studied in the time domain and it is characterized using statistical descriptors. Finally, the impact of natural phenomena such as rain, waves and currents in the electromagnetic bias is calculated. In conclusion, this dissertation has demonstrated that the electromagnetic bias is not only a function of the wind speed (or waves), but also a function of both the incidence and azimuth angles. The study in the time domain has been shown that it exhibits a non-linear behavior. Moreover, heavy rains decrease the electromagnetic bias, as they damp the waves, while sea currents in the opposite direction of the wind speed increase the electromagnetic bias, because they increase the surface "roughness", while currents with the same direction of the wind, reduce it
En esta tesis doctoral se estudia el sesgo electromagnético en altimetría GNSS-R (Global Navigation Satellite Systems Reflectometry). La altimetría GNSS-R es un nuevo tipo de sistema que utiliza las señales de navegación como señales de oportunidad para la observación de la tierra. El sesgo electromagnético ha sido un tema de investigación durante varias décadas en altimetría radar convencional utilizando típicamente las bandas C y Ku, y apuntando en la dirección nadir, pero es un tema novedoso en altimetría GNSS-R. En primer lugar se revisan los estudios previos sobre el sesgo electromagnético: la Weakly Non-Linear theory (WNL), la Modulation Transfer Function (MTF), y modelos combinados de ambos. Después de un breve estudio tanto de la WNL como de la MTF, se selecciona un modelo combinado, se simula, y valida en las bandas C y Ku, y luego es extrapolado a la banda L, la banda de las señales de los GNSS. En segundo lugar, se estudia el sesgo electromagnético en el dominio del tiempo y es caracterizado utilizando descriptores estadísticos. Por último, se calcula el impacto de los fenómenos naturales como la lluvia, el oleaje y las corrientes en el sesgo electromagnético . En conclusión, esta tesis doctoral ha demostrado que el sesgo electromagnético no es sólo una función de la velocidad del viento (o del oleaje), sino que también es una función tanto del ángulo de incidencia, como del ángulo de acimut. El estudio en el dominio del tiempo ha demostrado que tiene un comportamiento no lineal. Por otra parte, las fuertes lluvias disminuyen el sesgo electromagnético, pues amortiguan las olas, mientras que las corrientes con dirección opuesta al viento aumentan el sesgo electromagnético, pues aumentan la "rugosidad" superficial, mientras que la corriente tiene la misma dirección de la velocidad del viento, lo reduce.

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Smith, Justin Dewitt. "Studies to improve estimation of the electromagnetic bias in radar altimetry /." Diss., CLICK HERE for online access, 1999. http://contentdm.lib.byu.edu/ETD/image/etd17.pdf.

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Smith, Justin DeWitt. "Studies to Improve Estimation of the Electromagnetic Bias in Radar Altimetry." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/75.

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In May of 2000 Jason-1, a joint project between NASA and the French space agency CNES, will be launched. Its mission is to continue the highly successful gathering of data which TOPEX/Poseidon has collected since August of 1992. The main goal of Jason-1 is to achieve higher accuracy in measuring the mean sea level (MSL). In order to do so, the electromagnetic (EM) bias must be estimated more accurately because it is the largest contributing error. This thesis presents two different studies which add to the knowledge and improve estimation of the EM bias, and thus assists Jason-1 in achieving its primary goal. Oceanographic data collected from two different experiments are analyzed; on in the Gulf of Mexico (GME) and the other in Bass Strait, Australia (BSE). The first study is a spatial analysis of the backscattered power versus the phase of the wave. Its purpose is to determine why the normalized EM bias stops increasing and levels out at high wind speeds (about 11 m/s) and then decreases at higher wind speeds. Two possible causes are investigated. First, it could be due to a shift in the backscatter power modulation to the forward or rear face of the wave crests. Second, it may be due to the backscatter power becoming more homogeneous throughout the wave profile. This study is novel because it uses the knowledge of the spatial distribution of both the backscatter and wave displacement for the study of the EM bias. Both contribute to the EM bias decrease, but the latter cause seems to be the dominant effect. This study is performed on GME data. The second study uses two different nonparametric regression (NPR) techniques to estimate the EM bias. A recent study of satellite data from the TOPEX/Poseidon altimeter supports that the bias is modeled better using NPR regression. A traditional parametric fit is compared to two NPR techniques with GME data. The parametric fit is a variation of NASA's equation used to estimate EM bias for their Geophysical Data Records (GDRs). The two NPR techniques used are the Nadaraya-Watson Regression (NWR) and Local Linear Regression (LLR) estimators. Two smoothing kernel functions are used with each NPR technique, namely the Gaussian and the Epanechnikov kernels. NPR methods essentially consist of statistically smoothing the measured EM bias estimates are compared in the wind and significant wave height plane. Another recent study has shown that wave slope is strongly correlated to EM bias. With this knowledge, EM bias is estimated over several two-dimensional planes which include wave slope in attempt to reduce the residual bias. This portion of the study is performed on GME and BSE data. It is shown that a combination of slope, significant wave height, and wind speed used in conjunction with these NPR methods produces the best EM bias estimate for tower data.

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Naenna, Praphun. "Numerical and Analytical Studies of the Electromagnetic Bias in Satellite Altimetry." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1301019349.

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Karisan, Yasir. "Full-wave Electromagnetic Modeling of Electronic Device Parasitics for Terahertz Applications." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1419019102.

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Park, Jeonghwan. "Investigations of GNSS-R for Ocean Wind, Sea Surface Height, and Land Surface Remote Sensing." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1512095954817037.

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Sun, Jian Sun. "Ground-Based GNSS-Reflectometry Sea Level and Lake Ice Thickness Measurements." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500992792329906.

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Books on the topic "Electromagnetic bias"

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Lei da mu biao san she te xing ce shi yu cheng xiang zhen duan. Beijing Shi: Zhongguo yu hang chu ban she, 2009.

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Gooday, Graeme, and Daniel Jon Mitchell. Rethinking ‘Classical Physics’. Edited by Jed Z. Buchwald and Robert Fox. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199696253.013.25.

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This article discusses the reasons for rethinking ‘classical physics’, building upon Richard Staley’s historical enquiry into the origins of the distinction between ‘classical’ and ‘modern physics’. In particular, it challenges Staley’s thesis that ‘classical’ and ‘modern physics’ were invented simultaneously by Max Planck at the Solvay conference in 1911, arguing instead that the emergence of these notions took place separately over a period that reached as late as the 1930s. The article first considers how the identification of the ether as a key feature of classical physics has drawn historians’ attention towards its changing metaphysical fortunes during the nineteenth century. It then describes the connections between physics and industry that are obscured by the theoretical bias of any dichotomy between ‘classical’ and ‘modern physics’. Finally, it highlights continuity in the field of French experimental physics by focusing on three comparative case studies dealing with electrocapillarity, electromagnetic waves, and X-rays.

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Asai, H. Theoretical Study of THz Emission from HTS Cuprate. Edited by A. V. Narlikar. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198738169.013.9.

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This article examines the THz emission from high-temperature superconducting (HTS) cuprates in the mesoscopic state using the intrinsic Josephson junction model. Cuprate superconductors are high-temperature superconductors that exhibit exotic electromagnetic properties. One of the remarkable features of HTS cuprates is high anisotropy due to their layered structures. Almost all HTS cuprates are composed of stacks of CuO2 layers and blocking layers which supply charge carriers to the CuO2 layers. The crystal structures of the HTS cuprates naturally form Josephson junctions known as intrinsic Josephson junctions (IJJs). This article first describes the basic theory of IJJ and the mechanism of THz emission before discussing the effect of temperature inhomogeneity on the emission properties. It then introduces a novel IJJ-based THz emitter that utilizes laser heating. Theoretical results show that the THz emission is caused by the strong excitation of transverse Josephson plasma waves in IJJs under a direct current bias.

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Book chapters on the topic "Electromagnetic bias"

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Zhou, Nannan, Guoqiang Xue, Dongyang Hou, Huasen Zhong, Hai Li, Jiangwei Cui, and Kang Chen. "Bias in Transient Electromagnetic Method Due to Non-rectangular Loop." In Technology and Application of Environmental and Engineering Geophysics, 135–43. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3244-8_17.

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"Selection and Detection Bias." In Epidemiology of Electromagnetic Fields, 70–79. CRC Press, 2014. http://dx.doi.org/10.1201/b16968-9.

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"Business bias as usual: the case of electromagnetic pollution." In Social Costs Today, 245–88. Routledge, 2012. http://dx.doi.org/10.4324/9780203113158-18.

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Cleland, Andrew N. "Coupling Superconducting Qubits to Electromagnetic and Piezomechanical Resonators." In Quantum Optomechanics and Nanomechanics, 237–76. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198828143.003.0006.

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Quantum bits have been under intense development since the late 1990s, due to the discovery of a number of potential applications for engineered quantum systems to problems in computation or communication. As superconducting circuits provide a straightforward path to scaling up to large numbers of qubits and are exible in terms of their application to a range of different problems, This chapter focuses on the problem of coupling superconducting qubits to other systems, in particular to microwave frequency electromagnetic resonators as well as mechanical resonators. It begins by introducing the topics of piezoelectricity and its role in solid mechanics, then turns to a description of one flavour of superconducting qubit, the phase qubit. It then describes how the phase qubit can be used to control and measure a superconducting electromagnetic resonator, and concludes by describing how a phase qubit can also be used to control and measure a piezomechanical resonator.

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"SECTION Q – SPECTROSCOPY Q1 The electromagnetic spectrum." In BIOS Instant Notes in Chemistry for Biologists, 258–61. Taylor & Francis, 2020. http://dx.doi.org/10.1201/9780203079522-55.

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Conference papers on the topic "Electromagnetic bias"

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Elfouhaily, T., D. Thompson, D. Vandemark, and B. Chapron. "Non-linear waves and the electromagnetic bias." In IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174). IEEE, 1998. http://dx.doi.org/10.1109/igarss.1998.703700.

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Changyun Li, Qingmin Li, Jinxia Yao, and Min Liu. "The characteristics of electromagnetic current transformers with DC bias." In 2009 International Conference on Sustainable Power Generation and Supply. SUPERGEN 2009. IEEE, 2009. http://dx.doi.org/10.1109/supergen.2009.5348387.

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Harm, Martin, Oliver Kerfin, Lukas Oppermann, Achim Enders, and TU Braunschweig. "Calibrated Contactless Impedance Measurements with DC Bias Currents." In 2018 International Symposium on Electromagnetic Compatibility (EMC EUROPE). IEEE, 2018. http://dx.doi.org/10.1109/emceurope.2018.8485081.

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Mitsuhata, Yuji, Takehiko Imasato, and Toshihiro Uchida. "Bias Noise Correction In Multifrequency Fixed Small Loop Electromagnetic System." In 21st EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists & Engineers, 2008. http://dx.doi.org/10.3997/2214-4609-pdb.177.59.

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Mitsuhata, Yuji, Takehiko Imasato, and Toshihiro Uchida. "Bias Noise Correction in Multifrequency Fixed Small Loop Electromagnetic System." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008. Environment and Engineering Geophysical Society, 2008. http://dx.doi.org/10.4133/1.2963257.

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Naenna, Praphun, and Joel T. Johnson. "Monte Carlo Simulation of Altimeter Pulse Returns and Electromagnetic Bias." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4780042.

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Mirkovic, Djordje, and Dusan S. Zrnic. "Antenna cased bias of polarimetric variables obtained by Electromagnetic simulations." In 2020 International Applied Computational Electromagnetics Society Symposium (ACES). IEEE, 2020. http://dx.doi.org/10.23919/aces49320.2020.9196196.

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Kim, Dong-Hyun, Subin Kim, Junyong Park, Youngwoo Kim, Sumin Choi, Kyungjun Cho, and Joungho Kim. "Bias-dependent power distribution network impedance analysis with MOS capacitor." In 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC). IEEE, 2018. http://dx.doi.org/10.1109/isemc.2018.8394029.

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Wang, Zengmin, Yuan Gao, and Honghui Li. "Binary AC Josephson system and bias current circuits at NIM." In 2012 Conference on Precision Electromagnetic Measurements (CPEM 2012). IEEE, 2012. http://dx.doi.org/10.1109/cpem.2012.6251112.

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Liu, Zhiyao, Zhengsen Jia, Bo Li, Hongtao Huang, and Lijuan Liu. "A Bias Method for an AC Josephson Quantum Voltage Standard." In 2018 Conference on Precision Electromagnetic Measurements (CPEM 2018). IEEE, 2018. http://dx.doi.org/10.1109/cpem.2018.8500861.

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