Academic literature on the topic 'Magnetic field monitoring'
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Journal articles on the topic "Magnetic field monitoring":
Blum, Cletus C., Timothy C. White, Edward A. Sauter, Duff C. Stewart, Paul A. Bedrosian, and Jeffrey J. Love. "Geoelectric monitoring at the Boulder magnetic observatory." Geoscientific Instrumentation, Methods and Data Systems 6, no. 2 (November 2, 2017): 447–52. http://dx.doi.org/10.5194/gi-6-447-2017.
Barmet, Christoph, Nicola De Zanche, and Klaas P. Pruessmann. "Spatiotemporal magnetic field monitoring for MR." Magnetic Resonance in Medicine 60, no. 1 (July 2008): 187–97. http://dx.doi.org/10.1002/mrm.21603.
Hardy, Jason, and Edward Boje. "Distribution Pole Monitoring Using Magnetic Field Characterization." SAIEE Africa Research Journal 110, no. 3 (September 2019): 145–52. http://dx.doi.org/10.23919/saiee.2019.8732786.
Wilm, Bertram J., Zoltan Nagy, Christoph Barmet, S. Johanna Vannesjo, Lars Kasper, Max Haeberlin, Simon Gross, et al. "Diffusion MRI with concurrent magnetic field monitoring." Magnetic Resonance in Medicine 74, no. 4 (July 17, 2015): 925–33. http://dx.doi.org/10.1002/mrm.25827.
Thomas, A. W., D. J. Drost, and F. S. Prato. "Magnetic field exposure and behavioral monitoring system." Bioelectromagnetics 22, no. 6 (2001): 401–7. http://dx.doi.org/10.1002/bem.67.
Klyukhin, Vyacheslav, Austin Ball, Felix Bergsma, Henk Boterenbrood, Benoit Curé, Domenico Dattola, Andrea Gaddi, et al. "The CMS Magnetic Field Measuring and Monitoring Systems." Symmetry 14, no. 1 (January 15, 2022): 169. http://dx.doi.org/10.3390/sym14010169.
Wan, Dong, Ningchen Ma, Taochuang Zhao, Xiaojing Cui, Zhaosu Wang, Hulin Zhang, and Kai Zhuo. "Magnetorheological Elastomer-Based Self-Powered Triboelectric Nanosensor for Monitoring Magnetic Field." Nanomaterials 11, no. 11 (October 23, 2021): 2815. http://dx.doi.org/10.3390/nano11112815.
Wong, P. S., M. A. Janoska, C. Light, and R. W. McCourt. "Long term magnetic field monitoring near power lines." IEEE Transactions on Power Delivery 12, no. 2 (April 1997): 922–27. http://dx.doi.org/10.1109/61.584414.
Meijers, P. C., D. H. Malschaert, and M. Veljkovic. "Monitoring fatigue crack growth using magnetic stray field measurements." Journal of Physics: Conference Series 2647, no. 18 (June 1, 2024): 182018. http://dx.doi.org/10.1088/1742-6596/2647/18/182018.
Chen, Rui, Jie Jiao, Ziyun Chen, Yuhang Wang, Tingyu Deng, Wenning Di, Shunliang Zhu, et al. "Power Batteries Health Monitoring: A Magnetic Imaging Method Based on Magnetoelectric Sensors." Materials 15, no. 5 (March 7, 2022): 1980. http://dx.doi.org/10.3390/ma15051980.
Dissertations / Theses on the topic "Magnetic field monitoring":
Sipilä, Pekka [Verfasser]. "Real-Time Magnetic Field Monitoring in Magnetic Resonance Imaging / Pekka Sipilä." Aachen : Shaker, 2011. http://d-nb.info/1069050512/34.
Lui, Zheng. "Stray magnetic field based health monitoring of electrical machines." Thesis, University of Newcastle upon Tyne, 2018. http://hdl.handle.net/10443/4105.
Aleksandrova, Alina. "Magnetic Field Monitoring in the SNS Neutron EDM Experiment." UKnowledge, 2019. https://uknowledge.uky.edu/physastron_etds/68.
Sun, Xu, and 孫旭. "Development of power system monitoring by magnetic field sensing with spintronic sensors." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/196015.
published_or_final_version
Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
Sipilä, Pekka [Verfasser], Florian [Akademischer Betreuer] Wiesinger, Alexander W. [Akademischer Betreuer] Koch, and Gerhard [Akademischer Betreuer] Wachutka. "Real-Time Magnetic Field Monitoring in Magnetic Resonance Imaging / Pekka Sipilä. Gutachter: Alexander W. Koch ; Gerhard Wachutka. Betreuer: Florian Wiesinger." München : Universitätsbibliothek der TU München, 2011. http://d-nb.info/1019588381/34.
Krug, Johannes W. [Verfasser], and Georg [Akademischer Betreuer] Rose. "Improved cardiac gating and patient monitoring in high field magnetic resonance imaging by means of electrocardiogram signal processing / Johannes W. Krug. Betreuer: Georg Rose." Magdeburg : Universitätsbibliothek, 2015. http://d-nb.info/1076589901/34.
Clarke, Brandon William. "Development and Optimization of an Integrated Faraday Modulator and Compensator Design for Continuous Polarimetric Glucose Monitoring." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364578141.
Amor, Zaineb. "Non-Cartesian Sparkling encoding for High spatio-temporal resolution functional Magnetic Resonance Imaging (fMRI) at 7 Tesla and beyond." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST032.
Functional MRI (fMRI) is currently one of the most commonly used functional neuroimaging techniques to probe brain activity non-invasively through the blood oxygen level-dependent (BOLD) contrast that reflects neurovascular coupling. It offers an interesting trade-off between spatial and temporal resolution in order to study the whole brain as an aggregation of intrinsic functional systems. The quest for higher spatial and/or temporal resolution in fMRI while preserving a sufficient temporal signal-to-noise ratio~(tSNR) has generated a tremendous amount of methodological contributions in the last decade ranging from Cartesian vs. non-Cartesian readouts, 2D vs. 3D acquisition strategies, parallel imaging and/or compressed sensing~(CS) accelerations and simultaneous multi-slice acquisitions to cite a few. In this work, we focus on the use of CS in fMRI; more specifically, we consider Spreading Projection Algorithm for Rapid K-space sampLING (SPARKLING) encoding scheme.The main focus and goal of this thesis involves the evaluation of 3D-SPARKLING as a viable acquisition scheme for high-resolution whole-brain fMRI. In this regard, we initially compared its capabilities with state-of-the-art 3D-EPI. After observing higher sensitivity to static and dynamic magnetic field imperfections in 3D-SPARKLING data, we established an experimental protocol to correct them. Finally, we studied the capabilities and limitations of employing a sliding-window reconstruction in combination with the SPARKLING encoding scheme to enhance temporal resolution during image reconstruction in fMRI retrospectively. A simulation study where the ground truth is controlled was conducted and demonstrated the possibility of detecting high-frequency oscillations in the BOLD signal and separating physiological noise from neural activity
Najafi, Syed Ahmed Ali. "Energy Harvesting From Overhead Transmission Line Magnetic Fields." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1548448189459464.
Pereira, Arthur Melo. "Cálculo de campos elétricos e magnéticos nas proximidades de linhas de transmissão: uma abordagem analítica e numérica." Universidade Federal de Goiás, 2017. http://repositorio.bc.ufg.br/tede/handle/tede/7966.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
In a society dependent on electric energy for the execution of various daily activities, it is normal that its use is increasingly increasing over time. In order to carry out the transportation of all electric energy, it is essential to use transmission lines, which with increasing energy demand inevitably have tended to multiply throughout the world, and especially in Brazil, given its continental dimensions. Considering the function of the transmission lines for the electrical system, its importance in the context of the electric power supply is remarkable. However, the lines constitute one of the great emitting sources of electric and magnetic fields of low frequency, which has caused concern and has been motivating fact of several studies, like the realized in this work. Therefore, in view of the scenario presented in the previous paragraph, it is necessary to establish ways of calculating the fields more and more precisely. For the calculation of the electric field is used the Image Method, the Maxwell Potential Coefficients Method and the Coulomb Law, and for the magnetic field the Biot-Savart's Law is used. The results obtained for the electric and magnetic fields were for infinite rectilinear geometries, finite rectilinear and for the conductors taking the form of a catenary, the latter geometry being the most real model for the arrangement of the conductors in a line. In all cases treated, an analytical and numerical approach was performed, in order to allow the calculation of the three geometries with accuracy. Taking advantage of the methodology of calculation of the fields, in addition this work proposes a method of support to the monitoring of transmission lines. The method consists of using the Genetic Algorithm associated to the values of the electric and magnetic fields measured to determine the parameters of the line, such as: phase spacing, cable-soil height, equivalent conductor diameter, current and operating voltage. Given the simplicity of implementation when compared to other methods, the achievement of satisfactory results and the need for a single measuring device to monitor the transmission line, the proposed method proves to be viable and promising to carry out the line monitoring process.
Em uma sociedade dependente da energia elétrica para a execução de diversas atividades do cotidiano, é normal que a sua utilização seja cada vez mais crescente no decorrer do tempo. Para realizar o transporte de toda energia elétrica é imprescindível o uso de linhas de transmissão, que com o aumento da demanda de energia inevitavelmente tenderam a se multiplicar pelo mundo e em especial pelo território brasileiro, dadas as suas dimensões continentais. Tendo em vista a função das linhas de transmissão para o sistema elétrico, é notável a sua importância no contexto do fornecimento de energia elétrica. No entanto, as linhas constituem uma das grandes fontes emissoras de campos elétricos e magnéticos de baixa frequência, o que tem causado preocupação e tem sido fato motivador de diversos estudos, como o realizado neste trabalho. Portanto, diante do cenário apresentado no parágrafo anterior, se faz necessário estabelecer formas de calcular os campos de maneira cada vez mais precisa. Para o cálculo do campo elétrico utiliza-se o Método das Imagens, o Método dos Coeficientes de Potencial de Maxwell e a Lei de Coulomb, já para o campo magnético a Lei de Biot-Savart é empregada. Os resultados obtidos para os campos elétricos e magnéticos foram para as geometrias retilíneas infinitas, retilíneas finitas e para os condutores assumindo a forma de uma catenária, sendo que essa última geometria constitui o modelo mais real quanto à disposição dos condutores em uma linha. Em todos os casos tratados foram realizadas uma abordagem analítica e numérica, de maneira a possibilitar o cálculo das três geometrias com exatidão. Aproveitando-se da metodologia de cálculo dos campos, adicionalmente este trabalho propõe um método de apoio ao monitoramento de linhas de transmissão. O método consiste em utilizar o Algoritmo Genético associado aos valores dos campos elétrico e magnético medidos para determinar os parâmetros da linha, como: espaçamento entre fases, altura cabo-solo, diâmetro equivalente dos condutores, corrente e tensão de operação. Dada a simplicidade de implementação quando comparado a outros métodos, a obtenção de resultados satisfatórios e a necessidade de um único aparelho de medição para monitorar a linha de transmissão, o método proposto mostra-se viável e promissor para realizar o processo de monitoramento de linhas.
Books on the topic "Magnetic field monitoring":
Baus, Wolfgang W. Magnetic anomaly detection using conventional and superconductive sensors with respect to vehicle monitoring. Bochum: Brockmeyer, 1995.
EMF in your environment: Magnetic field measurements of everyday electrical devices. For sale by the U.S. G.P.O., Supt. of Docs, 1992.
Rotenberg, Alexander, Alvaro Pascual-Leone, and Alan D. Legatt. Transcranial Electrical and Magnetic Stimulation. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0028.
Thorne, Sara, and Sarah Bowater. Non-invasive imaging. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198759959.003.0003.
Wilson, Hamish, Keith Nunn, and Matt Luheshi, eds. Integration of Geophysical Technologies in the Petroleum Industry. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108913256.
Book chapters on the topic "Magnetic field monitoring":
Shellock, F. G. "Magnetic Resonance: Safety, Bioeffects, and Patient Monitoring." In Open Field Magnetic Resonance Imaging, 127–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59581-3_13.
Andrä, Wilfried, M. E. Bellemann, M. Brand, J. Haueisen, H. Lausch, P. Saupe, and C. Werner. "Magnetic Marker Monitoring Using a Permanent Magnetic Sphere Oriented by a Rotating Magnetic Field." In IFMBE Proceedings, 1137–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_272.
Robins, Richard J., Gérald S. Remaud, Isabelle Billault, and Philippe Lesot. "Isotope Ratio Monitoring by NMR Part 2: New Applications in the Field of Defining Biosynthesis." In Modern Magnetic Resonance, 1–26. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28275-6_9-1.
Robins, Richard J., Gérald S. Remaud, Isabelle Billault, and Philippe Lesot. "Isotope Ratio Monitoring by NMR: Part 2 – New Applications in the Field of Defining Biosynthesis." In Modern Magnetic Resonance, 1379–404. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-28388-3_9.
Villoresi, Giorgio, Natalie G. Ptitsyna, Yuri A. Kopytenko, Marta I. Tyasto, Eugene A. Kopytenko, Nunzio Iucci, Pavel M. Voronov, and Dmitri B. Zaitsev. "Magnetic Field Monitoring on Board of DC Electrified Transport in Russia." In Electricity and Magnetism in Biology and Medicine, 773–76. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4867-6_184.
Del Negro, Ciro, and Rosalba Napoli. "Magnetic field monitoring at Mt. Etna during the last 20 years." In Geophysical Monograph Series, 241–62. Washington, D. C.: American Geophysical Union, 2004. http://dx.doi.org/10.1029/143gm15.
Xu, Lu, Hu Ran, Tian Jie, Zhifeng Xu, and Tang Feng. "Design of Power Supply for Three Core Cable Wireless Monitoring Network Based on Space Magnetic Field Energy Harvesting." In Lecture Notes in Electrical Engineering, 77–86. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0873-4_9.
Liu, Gaisheng, John F. Devlin, Peter Dietrich, and James J. Butler. "High-Resolution Characterization of the Shallow Unconsolidated Subsurface Using Direct Push, Nuclear Magnetic Resonance, and Groundwater Tracing Technologies." In Advances in the Characterisation and Remediation of Sites Contaminated with Petroleum Hydrocarbons, 171–212. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34447-3_7.
Nechifor, R. E., and I. Ardelean. "Low-Field Nuclear Magnetic Resonance Relaxometry – A Tool in Monitoring the Melting Transition of Polymeric Capsules with Applications in Drug Delivery." In IFMBE Proceedings, 344–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22586-4_72.
Cibula, M., J. Motley, N. Pettinger, D. McCulley, and P. King. "Advances in Magnetic Measurements and Externally Applied Magnetic Fields for Vacuum Arc Remelting Process Monitoring and Control." In The Minerals, Metals & Materials Series, 1609–22. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50349-8_139.
Conference papers on the topic "Magnetic field monitoring":
CHEN, JINGFAN, HANWEN HU, and YA WANG. "MAGNETIC-DRIVEN SWIMMING MICROROBOTS." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/37020.
Lagoudas, Dimitris C., Bjoern Kiefer, and Krishnendu Haldar. "Magnetic field-induced reversible phase transformation in magnetic shape memory alloys." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Zoubeida Ounaies and Jiangyu Li. SPIE, 2009. http://dx.doi.org/10.1117/12.816429.
Chatterjee, Kalipada, and Rajan Jha. "Optical magnetometer for dynamic magnetic field monitoring." In 2023 International Conference on Microwave, Optical, and Communication Engineering (ICMOCE). IEEE, 2023. http://dx.doi.org/10.1109/icmoce57812.2023.10166192.
Jiang, Zhihao, Xiaoxu Liu, Zhejun Jin, and Shandong Li. "Real Time Monitoring of Weak Magnetic Field." In 2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT). IEEE, 2023. http://dx.doi.org/10.1109/iceict57916.2023.10245700.
Jin, Daeseong, and Hackjin Kim. "Dynamics of Agglomeration of Magnetite Nanoparticles under Magnetic Field Studied by Monitoring Magnetic Weight." In The World Congress on Recent Advances in Nanotechnology. Avestia Publishing, 2016. http://dx.doi.org/10.11159/icnei16.102.
Zhang, Chao, Yaxin Zhang, and Shuo Zhao. "Overrun monitoring of aircraft with alternating magnetic field." In 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP). IEEE, 2014. http://dx.doi.org/10.1109/chinasip.2014.6889335.
Meijers, Peter, Apostolos Tsouvalas, and Andrei Metrikine. "MONITORING MONOPILE PENETRATION THROUGH MAGNETIC STRAY FIELD MEASUREMENTS." In XI International Conference on Structural Dynamics. Athens: EASD, 2020. http://dx.doi.org/10.47964/1120.9102.19534.
Noras, Maciej A. "Electric and magnetic field monitoring for power line diagnostics." In 2015 IEEE Industry Applications Society Annual Meeting. IEEE, 2015. http://dx.doi.org/10.1109/ias.2015.7356761.
Willsch, Michael, Thomas Bosselmann, and Michael Villnow. "Fiber optical magnetic field sensor for power generator monitoring." In OFS2014 23rd International Conference on Optical Fiber Sensors, edited by José M. López-Higuera, Julian D. C. Jones, Manuel López-Amo, and José L. Santos. SPIE, 2014. http://dx.doi.org/10.1117/12.2057460.
Raman, Ramakrishnan, Meenakshi Kaul, R. Meenakshi, S. Jayaprakash, Ramya R, and C. Srinivasan. "IoT-Based Magnetic Field Strength Monitoring for Industrial Applications." In 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon). IEEE, 2023. http://dx.doi.org/10.1109/smarttechcon57526.2023.10391531.
Reports on the topic "Magnetic field monitoring":
Jarram, Paul, Phil Keogh, and Dave Tweddle. PR-478-143723-R01 Evaluation of Large Stand Off Magnetometry Techniques. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 2015. http://dx.doi.org/10.55274/r0010841.
Finch, Graeme, and Stuart Harmon. PR-670-183826-R02 Extended Evaluation of LSM - Magnetic Measurements of Corrosion Flaws. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 2021. http://dx.doi.org/10.55274/r0012189.
Swanson and Kilman. L51506 Development of Improved Methods for Inspecting Gas Storage Well Downhole Casing. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 1986. http://dx.doi.org/10.55274/r0010199.
Hailiang, Zhang, Wang Fuxiang, Sha Shengyi, Dai Lianshuang, Xuan Wenbo, and Ren Zhong. PR-469-173823-R01 In Line Inspection and Evaluation of Pinholes in Oil and Gas Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2019. http://dx.doi.org/10.55274/r0011604.
BARKHATOV, NIKOLAY, and SERGEY REVUNOV. A software-computational neural network tool for predicting the electromagnetic state of the polar magnetosphere, taking into account the process that simulates its slow loading by the kinetic energy of the solar wind. SIB-Expertise, December 2021. http://dx.doi.org/10.12731/er0519.07122021.
Fernando, P. U. Ashvin Iresh, Gilbert Kosgei, Matthew Glasscott, Garrett George, Erik Alberts, and Lee Moores. Boronic acid functionalized ferrocene derivatives towards fluoride sensing. Engineer Research and Development Center (U.S.), July 2022. http://dx.doi.org/10.21079/11681/44762.
Barton. L51695 Development of Inspection Vehicle to Detect SCC in Natural Gas Lines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 1993. http://dx.doi.org/10.55274/r0010627.
Finch, Graeme, and Stuart Harmon. PR-670-183826-R01 Assessment of Science Behind LSM for Pipeline Integrity. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2020. http://dx.doi.org/10.55274/r0011803.