Dissertations / Theses on the topic 'Terrestial Magnetism'
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Farrell, Robert. "Rotating Magnetometry For Terrestrial And Extraterrestrial Subsurface Explorations." ScholarWorks @ UVM, 2018. https://scholarworks.uvm.edu/graddis/945.
Full text陳伯舫 and Pak-fong Chan. "Numerical investigations of the terrestrial conductivity anomaly undervarious geophysical conditions." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31231494.
Full textGoodman, Matthew. "From 'magnetic fever' to 'magnetical insanity' : historical geographies of British terrestrial magnetic research, 1833-1857." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/30829/.
Full textChan, Pak-fong. "Numerical investigations of the terrestrial conductivity anomaly under various geophysical conditions /." [Hong Kong : University of Hong Kong], 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12428577.
Full textNordström, Pontus. "Ground based observations of Pi2 pulsation in the terrestrial magnetic field." Thesis, KTH, Rymd- och plasmafysik, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91913.
Full textLee, Daniel Thomas. "Three-dimensional topology of the magnetic field in the solar corona." Thesis, University of Central Lancashire, 2018. http://clok.uclan.ac.uk/25371/.
Full textAtkin, Andrew James. "Drivers of scientific success; an analysis of terrestrial magnetism on the Discovery Antarctic expedition, 1901-04." Thesis, University of Canterbury. Gateway Antarctica, 2013. http://hdl.handle.net/10092/8107.
Full textHeil, Clifford William. "Paleo-and environmental magnetic studies of late Cenozoic estuarine, lacustrine, and terrestrial sediments /." View online ; access limited to URI, 2008. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3314457.
Full textLawrence, Gareth Rhys. "MHD analysis of the solar-terrestrial interaction : development of tools for studying magnetopause reconnection and the plasma depletion layer." Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241659.
Full textMartineau, Ryan J. "Parameterized Least-Squares Attitude History Estimation and Magnetic Field Observations of the Auroral Spatial Structures Probe." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4482.
Full textMcIntyre, Andrew III. "Behavioral responses of sub-adult Atlantic Sturgeon (Acipenser oxyrinchus oxyrinchus) to electromagnetic and magnetic fields under laboratory conditions." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4866.
Full textRazik, Sebastian [Verfasser], Tilo von [Akademischer Betreuer] Dobeneck, and Cristiano M. [Akademischer Betreuer] Chiessi. "How magnetics and granulometry of continental margin sediments reflect terrestrial and marine environments of South America and West Africa / Sebastian Razik. Gutachter: Tilo von Dobeneck ; Cristiano M. Chiessi. Betreuer: Tilo von Dobeneck." Bremen : Staats- und Universitätsbibliothek Bremen, 2014. http://d-nb.info/1072226529/34.
Full textCivet, François. "Caractérisation de la structure électrique de Mars par méthode d'induction électromagnétique globale à partir des données magnétiques satellitaires de Mars Global Surveyor." Thesis, Brest, 2012. http://www.theses.fr/2012BRES0084/document.
Full textMy Ph.D. work consists in the investigation of satellite magnetic data to infer the deep internal conductivity distribution. I developed a new global electromagnetic induction method applied to planetary magnetic datasets without strong a priori hypothesis on the external inducing source field. My method is based on a spectral correction of gapped data magnetic time series to restore the time spectral content of the source field. This external source depends on the planetary environment and is therefore different for each planetary bodies. The method aims at recovering with a maximum accuracy internal and external spherical harmonic coefficients of transients fields, whose ratio is used as a transfer function to retrieve the internal distribution of electrical conductivity. While for the Earth, a good proxy of the source field activity is the Dst index, no such proxy exists for other planets. Hence, for our study of Mars transient magnetic field from MGS, one of the major part of my work is the determination of an appropriate continuous proxy for the external variability. On Earth the external electromagnetic source is well known, and may be described by a spherical harmonic geometry dominated by the dipole term. This source field may be characterized using a magnetic activity index named the Dst index. The method has been tested on synthetic data generated within the framework of SWARM mission. This mission consists of a 3 satellites constellation. One of the main objectives is to infer the 3D electrical distribution in the deep Earth. SWARM synthetic data consist in a time series of spherical harmonic (SH) coefficients, external and internal, generated from a simple non-realistic 3D model. In this model, several regional and local conductors, in a radially symmetric 3 layers model have been embedded. Using this dataset, our method give satisfactory results. We have been able to obtain the external and internal SH coefficients - for the first SH degree, which is known to be the most energetic degree of the external source - using only one of the 3 synthetic time series. Then, the method has been used on real data from Ørsted. In this case, we had to pre-process the data to correct from ionospheric and aligned currents contributions. We developed a statistical analysis to remove the ionospheric field using 2 geomagnetic indices : AL and Kp. Hence, we have enlarged data toward higher and lower latitudinal zones than what has been done in previous works. Finally, we have been able to obtain 1D conductivity models, which fits reasonably with existing conductivity data in the deep Earth. Finally, we worked on Mars Global Surveyor (MGS) data. One of the most time consuming parts of this work was the determination of an appropriate continuous proxy for the external variability in the vicinity of Mars. Without any measurements of the IMF (Interplanetary Magnetic Field) during MGS sciences acquisition, we have used ACE (Advanced Composition Explorer) data. This satellite orbits around the L1 point of the Sun-Earth system, measuring solar wind magnetic characteristics. We have time-shifted ACE data to Mars position for 4 temporal windows where Mars and Earth were closed to the same Parker's spiral's arm, and finally determined a proxy explaining the major part of the variability observed in Mars data. Despite numerous gaps in MGS data, we have been able to establish the 1D conductivity distribution, fitting reasonably existing geochemical models. Although the method may be unstable for some cases, we obtained satisfactory results for in depth conductivity of the planet
Lin, Jyun-Long, and 林君龍. "Design of Three Dimensional Magnetic Sensor for terrestrial magnetism." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/dgp39y.
Full text國立臺北科技大學
電機工程系研究所
102
The aim of this research is to design Three-Dimensional Magnetic Sensor, and uses the readout circuit to amplify sensor’s output voltage. The purpose of this paper is uses Three-Dimensional Magnetic Sensor to sense terrestrial magnetism. While integrate all circuit in one chip, reducing the Sensor volume and production cost. In this paper we present Three-Dimensional Magnetic Sensor consist of one Z-axis magnetic sensor and one XY-axis magnetic sensor, then use readout circuit and low pass filter to amplify and filter, finally the instrument amplifier output the voltage result. The measure result Sensor output voltage range is from 1 mV to 5 mV, and magnetic field range is from 0 Guess to 40 Guess, sensitivity is 9 V⁄AT to 19 V⁄AT.
WU, YI-FAN, and 吳逸凡. "A Research of Indoor Positioning Systems Using Terrestrial Magnetism." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/e25972.
Full text銘傳大學
資訊傳播工程學系碩士班
106
As the popularity of smart mobiles and users will be able to rely on smart mobiles with global satellite positioning systems (global positioning system, GPS) to get their current location in the field. However, GPS cannot obtain the indoor location information when the user is inside a building. Therefore, it needs to use other systems to get indoor positioning, like traditional wireless indoor positioning technology, such as Wi-Fi and Bluetooth technology. But these techs face difficulties such as human shields, multi-path, radio frequency interference to positioning accuracy with serious deviations. In recent years, some research uses the Geomagnetic do indoor positioning of the possibility of smart mobiles, because of mobiles have the magnetometer, and the magnetometer is not affected by people shield. This study also conducts experiments on some factors that affect the magnetic field sensing. And analyzes the conditions that affect the magnetometer's measuring. Finally, we use k-nearest nearest neighbor algorithm (k-nearest nearest neighbor, KNN) and magnetic field weighting for positioning, the positioning accuracy can be achieved 91.7% and the average of error distance is 0.76 meter.
Murdock, Kathryn J. "Possible Terrestrial Basaltic Analogs for Highly Magnetized Martian Crustal Rocks." 2009. https://scholarworks.umass.edu/theses/342.
Full textLAI, CHUAN-JIANG, and 賴傳疆. "The Research of Adaptive Indoor Positioning Techniques Based on Terrestrial Magnetism for Different Mobile Phones." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/n6rphp.
Full text銘傳大學
資訊傳播工程學系碩士班
106
Location-based services (LBS) are becoming increasingly important for mobile phone users. Indoor positioning technology research is also relatively increased. Indoor positioning technology includes infrared, ultrasound, ultra-wide frequency, radio frequency identification, but these applications have some problems to overcome. The common wireless indoor positioning is Wi-Fi and Bluetooth. There are some difficulties yet to solve, so that positioning accuracy or reliability is difficult to improve. In recent years, some studies try to use the magnetic field to assist the positioning. Because the intelligent phone has a magnetometer and accelerometer, the Earth's magnetic field is not change suddenly and the mobile phone with the magnetic field a magnetometer and accelerometer could indoor positioning easily. Therefore, this study explores the effectiveness of mobile phones in measuring the Earth's magnetic field and the differences in indoor positioning of different brands of mobile phones. The results show that the location of the Earth's magnetic field is not easy to change with time. Each location has its own magnetic field characteristics, it can be used as a reference for positioning. As for the measurement of the error between the phone can take the magnetic induction 1and its horizontal component ratio as a position feature to locate. Finally, by increasing the environmental conditions of the fixed travel direction and Landmark, the minimum error distance obtained is 3.59 meters. According to the result of positioning classification using different mobile phones, the best positioning accuracy is 71.3% (k-NN, k = 3).