Relevant bibliographies by topics / Magnetic measurements Data processing

Academic literature on the topic 'Magnetic measurements Data processing'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Magnetic measurements Data processing"

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Khomutov, Sergey Y., and Manjula Lingala. "Some problems with old magnetic data processing." E3S Web of Conferences 196 (2020): 02029. http://dx.doi.org/10.1051/e3sconf/202019602029.

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Continues magnetic measurements at the IKIR FEB RAS obser-vatories Magadan (MGD), Paratunka (PET), Yuzhno-Sakhalinsk (YSS), Cape Schmidt (CPS) and Khabarovsk (KHB) and CSIR-NGRI observatories Hyder-abad (HYB) and Choutuppal (CPL) have been started almost since their formation. A significant part of the results obtained is presented in the WDC and INTERMAGNET databases. However, a large amount of raw data remains un-processed and unavailable for using by scientific community. In the past few years, institutes has been making efforts to process and reprocess old magnetic data. Digital images of analog magnetograms of the Observatory Paratunka since 1967 were obtained and the possibility of their use for calculation hourly and minute values of magnetic field elements was evaluated. Old digital data that was available during the conversion from analog to digital magnetometers is processed. The main problem of processing or re-processing archived data is the lack of information (metadata) about the measurement conditions. First of all, these are the results of absolute observations, which are necessary to obtain the values of the elements of the total field vector. In this paper, some technologies are proposed that allow to use the data obtained during processing of analog magnetograms to adjust the digital magnetometers records. A signif-icant problem is the lack or inaccuracy of information about the temperature conditions in the variation pavilion, about magnetometers or support equipment maintenance or about works in and near the pavilions. As we accumulate the experience during the processing of old magnetic data, a “catalog” of noise and its typical images is formed. This makes it more reliable and efficient to identify and remove this noise from records.
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Wang, R. F. "Data processing methods in the measurements of magnetic penetration depth." Physica C: Superconductivity 397, no. 1-2 (October 2003): 80–85. http://dx.doi.org/10.1016/s0921-4534(03)01092-x.

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Khomutov, Sergey Y., Oksana V. Mandrikova, Ekaterina A. Budilova, Kusumita Arora, and Lingala Manjula. "Noise in raw data from magnetic observatories." Geoscientific Instrumentation, Methods and Data Systems 6, no. 2 (September 15, 2017): 329–43. http://dx.doi.org/10.5194/gi-6-329-2017.

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Abstract. In spite of significant progress in the development of new devices for magnetic measurements, mathematical and computational technologies for data processing and means of communication, the quality of magnetic data accessible through the data centres (for example, World Data Centres or INTERMAGNET) still largely depends on the actual conditions in which observation of the Earth's magnetic field is performed at observatories. Processing of raw data of magnetic measurements by observatory staff plays an important role. It includes effective identification of noise and elimination of its influence on final data. In this paper, on the basis of the experience gained during long-term magnetic monitoring carried out at the observatories of IKIR FEB RAS (Russia) and CSIR-NGRI (India), we present a review of methods commonly encountered in actual practice for noise identification and the possibility of reducing noise influence.
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Gałach, H., M. J. Peryt, and N. Dunin. "Embedded Data Processing Using NI MyRIO and LabVIEW for Magnetic Field Measurements." Acta Physica Polonica B Proceedings Supplement 14, no. 3 (2021): 625. http://dx.doi.org/10.5506/aphyspolbsupp.14.625.

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Bito, Yoshitaka, Kensuk Sekihara, and Ryuichi Suzuki. "5297033 Data processing method in nuclear magnetic resonance measurement." Magnetic Resonance Imaging 13, no. 1 (January 1995): XVII. http://dx.doi.org/10.1016/0730-725x(95)90070-l.

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Urbano-Bojorge, Ana Lorena, Nazario Félix-González, Tamara Fernández, Francisco del Pozo-Guerrero, Milagros Ramos, and José Javier Serrano-Olmedo. "A Comparison of Magnetometry and Relaxometry Measures of Magnetic Nanoparticles Deposited in Biological Samples." Journal of Nano Research 31 (April 2015): 129–37. http://dx.doi.org/10.4028/www.scientific.net/jnanor.31.129.

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The Alternating Gradient Field Magnetometer (AGFM) is an instrument whose high sensitivity (10-8 emu) allows the detection of small amounts of magnetic nanoparticles (MNPs) with high accuracy. Over the last few years, different magnetic techniques have been used for in vitro measurements of magnetic nanostructures inside biological tissues. However, in vivo studies about their distribution within the body are very scarce because their dispersion, after being delivered, reduces their magnetic signal and hinders detection. In this paper we compare the longitudinal relaxation time (T1) and magnetization measurements in mice's biological tissues for the tracking of MNPs after of an injection of iron oxide nanoparticles. Furthermore, we have correlated the AGFM data with Fast Field Cycling NMR Relaxometry (FFCNMR Relaxometry) measurements with histological analysis. The results have demonstrated that these techniques are useful for detecting minute amounts of MNPs in excised organs after in-vivo comparable to other more conventional techniques for the measurement of MNPs biodistribution and clearance. Details about the preparation of the in vivo samples, measurement protocol and statistical data processing are given.
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Хомутов, Сергей, and Sergey Khomutov. "XVI IAGA workshop on geomagnetic observatory instruments, data acquisition and processing. Hyderabad, India, October 2014: Brief review XVI IAGA workshop on geomagnetic observatory in-struments, data acquisition and processing. Hyderabad, India, October 2014: Brief review." Solnechno-Zemnaya Fizika 1, no. 4 (December 17, 2015): 86–89. http://dx.doi.org/10.12737/13572.

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The brief review of the XVI IAGA Workshop on Geomagnetic Observatory Instruments Data Acquisition and Processing (Hyderabad, India, October 2014) is presented. Much attention is given to new magnetometers and software for practical work of magnetologists as well as to archive data. Reports on new devices point to the tendency that in the near future, the technique for obtaining the total field vector data adopted by INTERMAGNET will remain changeless as the combination of absolute (manual) and variation measurements. Besides, a low interest of the community to software necessary for full processing of magnetic measurements directly in observatories should be also noticed.
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Yanis, Muhammad, Marwan Marwan, Bukhari Bukhari, and Nazli Ismail. "THE DIFFERENT MAGNETIC RESULTS OF ANEMI AND PPM MEASUREMENTS ON THE BURIED REMAINS OF A 13TH CENTURY FORTRESS." Jurnal Natural 16, no. 2 (September 19, 2016): 33–36. http://dx.doi.org/10.24815/jn.v16i2.5018.

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This study aimed to evaluate the different magnetic results of an electromagnetic induction with proton magnetometer measurements on an archaeological site. The electromagnetic induction allows measuring both the apparent magnetic susceptibility in part per thousand (ppt) and the apparent electrical conductivity in millisiemens (mS/m). A proton magnetometer measures the total magnetic intensity in nanotesla (nT), caused by the induced and remanent magnetisations. An archaeological site where historical documents indicated the presence of a 13th century fortress that built by Lamuri Sultanate was selected as a test area. The measurement were conducted by divided the study area into 10 profiles.Some standard data processing have been applied to the measured data. The result of the first survey with electromagnetic induction showed low magnetic anomalies in the buried remains of Lamuri fortress. The similar value are shown as well by low magnetic field intensity in magnetometer measurement.
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Pedersen, L. B., and T. M. Rasmussen. "The gradient tensor of potential field anomalies: Some implications on data collection and data processing of maps." GEOPHYSICS 55, no. 12 (December 1990): 1558–66. http://dx.doi.org/10.1190/1.1442807.

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The full gradient tensor is presently not measured routinely onboard airplanes or on land. This paper describes some improvements that can be made in strategies of data collection and in processing of potential field maps if such tensor measurements were available. We suggest that, in addition to producing for example standard total field anomaly maps, the invariants of the tensor be mapped. Strikes of magnetic or gravimetric structures may be determined from minimizing the power in the first row and column of the tensor. Invariants can be looked upon as nonlinear filters enhancing sources with big volumes. Their lateral resolution is superior to that of the field proper and, for a given resolution, the flight altitude and separation between flight lines can be increased compared with the standard mode of operation. In airborne surveys the distance between flight lines is normally much larger than the height above the ground. This may introduce severe aliasing effects in the direction perpendicular to the flight lines. By increasing the flight altitude, aliasing effects are reduced at the expense of lateral resolution which, however, may be improved by mapping the tensor invariants in addition to the magnetic field. The estimated gradient tensor from total field magnetic data over the Siljan impact region shows that the magnetic properties of the area are very nonuniform even from a height of 430 m above the topography. The nonlinear filters discriminate major anomalies into separate units.
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Guerin, Roger, Alain Tabbagh, and Pierre Andrieux. "Field and/or resistivity mapping in MT-VLF and implications for data processing." GEOPHYSICS 59, no. 11 (November 1994): 1695–712. http://dx.doi.org/10.1190/1.1443557.

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The ratio of the horizontal electric and magnetic components of the electromagnetic field generated by a radio transmitter in the very low frequency (VLF) range is used in MT-VLF resistivity mapping to determine the apparent resistivity of the ground. A theoretical calculation of the responses of simple 2-D and 3-D prismatic bodies shows that the measurable lateral variations in both fields are independent, uncoupled, and correspond to frequency‐independent, static variations. It is advantageous therefore to process and map the fields separately. Processing methods used in gravimetry and magnetics are especially appropriate in correcting the apparent anisotropy related to the horizontal polarization of the primary field and in integrating (upward continuation) the high‐frequency spatial variations. The different processes tested on a synthetic case and on data obtained at the Centre de Recherches Géophysiques (CRG) test site showed how to eliminate shallow features and a current channeling conductor to favor the anomaly of a fault. A third example with a hydrogeological application shows the advantages of this method over Wenner direct‐current resistivity measurements.
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Dissertations / Theses on the topic "Magnetic measurements Data processing"

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Friedmann, Arnon A. "Measurements, characterization, and system design for digital storage /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9732719.

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拓也, 桑原, and Takuya Kuwahara. "Characterization of gas-liquid two-phase flow regimes using Magnetic fluid : setup, measurements, signal processing and data analysis." Thesis, https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB10268912/?lang=0, 2008. https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB10268912/?lang=0.

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Jones, Jonathan A. "Nuclear magnetic resonance data processing methods." Thesis, University of Oxford, 1992. http://ora.ox.ac.uk/objects/uuid:7df97c9a-4e65-4c10-83eb-dfaccfdccefe.

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This thesis describes the application of a wide variety of data processing methods, in particular the Maximum Entropy Method (MEM), to data from Nuclear Magnetic Resonance (NMR) experiments. Chapter 1 provides a brief introduction to NMR and to data processing, which is developed in chapter 2. NMR is described in terms of the classical model due to Bloch, and the principles of conventional (Fourier transform) data processing developed. This is followed by a description of less conventional techniques. The MEM is derived on several grounds, and related to both Bayesian reasoning and Shannon information theory. Chapter 3 describes several methods of evaluating the quality of NMR spectra obtained by a variety of data processing techniques; the simple criterion of spectral appearance is shown to be completely unsatisfactory. A Monte Carlo method is described which allows several different techniques to be compared, and the relative advantages of Fourier transformation and the MEM are assessed. Chapter 4 describes in vivo NMR, particularly the application of the MEM to data from Phase Modulated Rotating Frame Imaging (PMRFI) experiments. In this case the conventional data processing is highly unsatisfactory, and MEM processing results in much clearer spectra. Chapter 5 describes the application of a range of techniques to the estimation and removal of splittings from NMR spectra. The various techniques are discussed using simple examples, and then applied to data from the amino acid iso-leucine. The thesis ends with five appendices which contain historical and philosophical notes, detailed calculations pertaining to PMRFI spectra, and a listing of the MEM computer program.
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Rydell, Joakim. "Advanced MRI Data Processing." Doctoral thesis, Linköping : Department of Biomedical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10038.

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Bance, Simon G. "Data storage and processing using magnetic nanowires." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505475.

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This thesis contains data from micromagnetic simulations that investigate new methods for data storage and processing on the nanoscale using ferromagnetic nanowires. First I consider a magnetic memory, domain wall trap memory, which could compete with a number of existing devices that are currently in widespread use. Domain wall trap memory exhibits a 90% lower coercivity over traditional MRAM designs because, instead of remagnetizing a rectangular or oval magnetic free layer by moment rotation or domain nucleation, an existing domain wall is moved along a structured nanowire to remagnetize part of the wire. I determine the fields for de-pinning, switching and expulsion of domain walls in memory cells to show that the margins between them can be sufficiently large for reliable operation. The nudged elastic band method is used to show that domain wall trap memory is thermally stable at room temperature.
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Ostroumov, Ivan Victorovich. "Magnetic field data processing with personal electronic device." Thesis, Polit. Challenges of science today: International Scientific and Practical Conference of Young Researchers and Students, April 6–8, 2016 : theses. – К., 2016. – 83p, 2016. http://er.nau.edu.ua/handle/NAU/26649.

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Johnson, Kevin Robert. "In Vivo Coronary Wall Shear Stress Determination Using CT, MRI, and Computational Fluid Dynamics." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14482.

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Wall shear stress (WSS) has long been identified as a factor in the development of atherosclerotic lesions. Autopsy studies have revealed a strong tendency for lesion development at arterial branch sites and along the inner walls of curvature areas that, in theory, should experience low WSS. Calculations of coronary artery WSS have typically been based upon average models of coronary artery geometry with average flow conditions and then compared to average lesion distributions. With all the averaging involved, a more detailed knowledge of the correlation between WSS and atherosclerotic lesion development might be obscured. Recent advancements in hemodynamic modeling now enable the calculation of WSS in individual subjects. An image-based approach for patient-specific calculation of in vivo WSS using computational fluid dynamics (CFD) would allow a more direct study of this correlation. New state-of-the-art technologies in multi-detector computed tomography (CT) and 3.0 Tesla magnetic resonance imaging (MRI) offer potential improvements for the measurement of coronary artery geometry and blood flow. The overall objective of this research was to evaluate the quantitative accuracy of multi-detector CT and 3.0 Tesla MRI and incorporate those imaging modalities into a patient-specific CFD model of coronary artery WSS. Using a series of vessel motion phantoms, it has been shown that 64-detector CT can provide accurate measurements of coronary artery geometry for heart rates below 70 beats per minute. A flow phantom was used to validate the use of navigator-echo gated, phase contrast MRI at 3.0 Tesla to measure velocity of coronary blood flow. Patient-specific, time-resolved CFD models of coronary WSS were created for two subjects. Furthermore, it was determined that population-average velocity curves or steady state velocities can predict locations of high or low WSS with high degrees of accuracy compared to the use of patient-specific blood flow velocity measurements as CFD boundary conditions. This work is significant because it constitutes the first technique to non-invasively calculate in vivo coronary artery WSS using image-based, patient-specific modeling.
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Maas, Luis C. (Luis Carlos). "Processing strategies for functional magnetic resonance imaging data sets." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/85262.

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Thesis (Ph.D.)--Harvard--Massachusetts Institute of Technology Division of Health Sciences and Technology, 1999.
Includes bibliographical references (leaves 108-118).
by Luis Carlos Maas, III.
Ph.D.
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Casto, Daniel W. "Calculating depths to shallow magnetic sources using aeromagnetic data from the Tucson Basin." Tucson, Ariz. : U.S. Dept. of the Interior, U.S. Geological Survey, 2001. http://geopubs.wr.usgs.gov/open-file/of01-505/.

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Lee, Jae-Min. "Characterization of spatial and temporal brain activation patterns in functional magnetic resonance imaging data." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013024.

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Books on the topic "Magnetic measurements Data processing"

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S, Gevins A., and Rémond Antoine, eds. Methods of analysis of brain electrical and magnetic signals. Amsterdam: Elsevier, 1987.

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Rongen, Heinz. Echtzeitsystem für Phasenrücksetzanalysen und Neuro-Rückkopplungen am MEG. Jülich: Forschungszentrum Jülich, Zentralbibliothek, 2006.

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Wintertagung "Angewandte Numerische Magnetfeldberechnung" (5th 1988). 5. Wintertagung Angewandte Numerische Magnetfeldberechnung. Karl-Marx-Stadt: Technische Universität Karl-Marx-Stadt, 1988.

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1958-, Stern Alan S., ed. NMR data processing. New York: Wiley-Liss, 1996.

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Emerson, D. W. Magnetic exploration models, incorporating remanence, demagnetization and anisotropy HP 41C handheld computer algorithms. Melbourne: Blackwell Scientific Publications, 1985.

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International Conference on Computational Methods and Experimental Measurements (13th 2007 Prague, Czech Republic). Computational methods and experimental measurements XIII. Edited by Brebbia C. A and Carlomagno G. M. Southampton, U.K. ; Boston, MA: WIT Press, 2007.

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Marchiando, J. F. A software program for aiding the analysis of ellipsometric measurements, simple models. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.

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Marchiando, J. F. A software program for aiding the analysis of ellipsometric measurements, simple models. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.

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Aplicación del sistema de información geográfica en el modelamiento del río Ucayali: Identificación de los cambios y su influencia ambiental : sector Pucallpa. Lima: Centro de Producción Editorial e Imprenta de la Universidad Nacional Mayor de San Marcos, 2010.

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American Society of Heating, Refrigerating and Air-Conditioning Engineers. Real-time energy consumption measurements in data centers. Atlanta, GA: American Society of Heating, Refrigerating, and Air-Conditioning Engineers, 2009.

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Book chapters on the topic "Magnetic measurements Data processing"

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Siddiqui, Faizan, Thomas Höllt, and Anna Vilanova. "Uncertainty in the DTI Visualization Pipeline." In Mathematics and Visualization, 125–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56215-1_6.

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AbstractDiffusion-Weighted Magnetic Resonance Imaging (DWI) enables the in-vivo visualization of fibrous tissues such as white matter in the brain. Diffusion-Tensor Imaging (DTI) specifically models the DWI diffusion measurements as a second order-tensor. The processing pipeline to visualize this data, from image acquisition to the final rendering, is rather complex. It involves a considerable amount of measurements, parameters and model assumptions, all of which generate uncertainties in the final result which typically are not shown to the analyst in the visualization. In recent years, there has been a considerable amount of work on the visualization of uncertainty in DWI, and specifically DTI. In this chapter, we primarily focus on DTI given its simplicity and applicability, however, several aspects presented are valid for DWI as a whole. We explore the various sources of uncertainties involved, approaches for modeling those uncertainties, and, finally, we survey different strategies to visually represent them. We also look at several related methods of uncertainty visualization that have been applied outside DTI and discuss how these techniques can be adopted to the DTI domain. We conclude our discussion with an overview of potential research directions.
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Knott, Eugene F. "Data Processing and Reduction." In Radar Cross Section Measurements, 350–84. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4684-9904-9_9.

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Ruiten, C. J. M. "Near Field Target Strength Measurements." In Underwater Acoustic Data Processing, 177–82. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_18.

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Wang, Yan. "The Inter-spacecraft Measurements." In First-stage LISA Data Processing and Gravitational Wave Data Analysis, 49–56. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26389-2_4.

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Wang, Yan. "Clock Noise and Disordered Measurements." In First-stage LISA Data Processing and Gravitational Wave Data Analysis, 111–38. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26389-2_9.

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Vinaixa, Maria, Naomi Rankin, Jeremy Everett, and Reza Salek. "Nuclear Magnetic Resonance Spectroscopy Data Processing." In Metabolomics, 101–28. Boca Raton, Florida : CRC Press, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-5.

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Rabinovich, Semyon G. "Examples of Measurements and Measurement Data Processing." In Evaluating Measurement Accuracy, 235–67. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6717-5_8.

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Rabinovich, Semyon G. "Examples of Measurements and Measurement Data Processing." In Evaluating Measurement Accuracy, 209–38. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1456-9_8.

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Zhang, Zhengji. "Basic Data Processing Methods in LDA Measurements." In LDA Application Methods, 47–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13514-9_5.

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Rabinovich, Semyon G. "Examples of Measurements and Measurement Data Processing." In Evaluating Measurement Accuracy, 227–55. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60125-0_8.

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Conference papers on the topic "Magnetic measurements Data processing"

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Wang, Muguang, and Beilei Wu. "High-accuracy magnetic field and electric current measurement based on optoelectronic oscillator." In Real-time Photonic Measurements, Data Management, and Processing VI, edited by Bahram Jalali, Ming Li, and Mohammad Hossein Asghari. SPIE, 2021. http://dx.doi.org/10.1117/12.2601426.

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Assous, Said, James Whetton, and Mark Bacciarelli. "Magnetic Flux Leakage Data Processing for Casing Inspection: An Inversion Approach." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21167-ms.

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Abstract Measurements of magnetic flux leakage are used extensively to map and monitor defects and corrosion in pipelines, well casings, and storage tanks. The application of this method enables locating defects and determining metal loss. The measurements have complex response characteristics, which must be understood to optimize measurement design and data processing choices. Until recently, the industry lacked an adequate first principles description of sensitivity to defect penetration and size, including the foundational cases of circular and elliptical defects. An inversion method has been developed and validated with independent synthetic and lab data. The data was obtained using an analytical forward model, finite element modeling, and laboratory data from different thickness and diameter pipes with known machined defects of different sizes and penetrations. The approach enables inverting field data to reconstruct 3D defect profiles, which helps to assess casing health and offers valuable information to the decision-maker for well integrity.
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Homan, Ty. "Oklahoma City Contaminant Dispersion: Concentration Data Processing and Analysis for a Scaled Puff Release Experiment." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24769.

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Abstract Magnetic resonance techniques were leveraged to obtain velocity and concentration measurements for a puff release contaminant dispersion study. The study involved a scaled model of downtown Oklahoma City as it was in 2003, and sought to provide a high fidelity, three-dimensional data set for comparison with JU2003 and subsequent studies. The scaled model was placed in a water channel with fully turbulent flow (Re = 36,000), and an MRI system was used to take scans at 12 time-specific measurement phases throughout the puff injection cycle. The present work details processing methods applied to the nearly 650 million magnetic resonance concentration (MRC) data points obtained from the study. Processing entailed the calculation of a concentration field through background subtraction and normalization involving several distinct scan types. Uncertainty was reduced through the scaling and combination of high molarity scans. Processing methods are followed by a preliminary investigation of the results, which highlights noteworthy elements of scalar transport within the data set and the need for further investigation of the complex flow field. The study ultimately demonstrates the applicability of magnetic resonance techniques to puff release and dynamic experimental conditions, as well as a method for working with data from phase-locked experiments.
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Abersfelder, Sandra, Alexander Meyer, Andreas Heyder, Moritz Herzog, Joerg Franke, and Matthaeus Brela. "Crack detection in PM-rotors using magnetic field measurement and data processing." In 2017 7th International Electric Drives Production Conference (EDPC). IEEE, 2017. http://dx.doi.org/10.1109/edpc.2017.8328159.

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Chen, Yankun, Chaoqun Xu, Kui Huang, Jingang Chen, and Haitao Wang. "Study on magnetic measurement and analysis method of unexploded ordnance." In International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), edited by Feng Wu, Jinping Liu, and Yanping Chen. SPIE, 2022. http://dx.doi.org/10.1117/12.2631047.

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Cosmai, Alberto, Luca Di Rienzo, and Stephan Russenschuck. "Post-processing magnetic measurement data of accelerator magnets by the boundary element method." In 2016 IEEE Conference on Electromagnetic Field Computation (CEFC). IEEE, 2016. http://dx.doi.org/10.1109/cefc.2016.7815970.

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MARTIN, ROMAIN G., CHRISTER JOHANSSON, JASON R. TAVARES, and MARTINE DUBÉ. "HEATING RATE PREDICTION FOR INDUCTION WELDING MAGNETIC SUSCEPTORS." In Thirty-sixth Technical Conference. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/asc36/35740.

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Induction welding involves generating heat by applying an oscillating magnetic field, which produces eddy currents and Joule losses in an electrically-conductive material or hysteresis losses in a magnetic material. Most applications rely on eddy currents generation as composites are often made of electrically-conductive carbon fibres. However, in other applications, heat can be produced by a magnetic susceptor located at the weld interface of the parts to be joined. Composite films of magnetic particles dispersed in a thermoplastic matrix can serve as magnetic susceptors. Magnetic particles selection relies on various parameters that must be thoroughly defined beforehand. Firstly, the applied magnetic field amplitude and frequency is calculated, based on the generated current and the induction coil geometry. Secondly, the thermoplastic matrix is characterized, mainly with DSC measurements, to define its processing window. Finally, the magnetic properties of the particles are measured – for instance using a vibrating sample magnetometer (VSM) – to obtain the hysteresis curve for the applied field. The enclosed surface area of the hysteresis curve (i.e. absorbed energy density) is critical, as low hysteresis materials (i.e. soft magnets) will not dissipate enough heat, while high hysteresis materials (i.e. hard magnets) cannot be fully exploited as the saturation hysteresis is not reached within the used field amplitude. A methodology to approximate the hysteresis enclosed surface area with limited data is proposed, helping to anticipate the heating rate of a susceptor candidate material. Based on these parameters, the theoretical heating rates of three magnetic susceptor materials (magnetic particles of iron, nickel and magnetite) for induction welding are calculated. They are verified experimentally by comparing with the hysteresis analysis and by measuring the temperature evolution of samples made of polypropylene containing the magnetic particles.
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Benson, Michael J., Mattias Cooper, Bret P. Van Poppel, and Christopher J. Elkins. "Magnetic Resonance Thermometry: An Emerging Three-Dimensional Temperature Diagnostic Technique." In ASME 2019 Heat Transfer Summer Conference collocated with the ASME 2019 13th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ht2019-3484.

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Abstract Magnetic Resonance Thermometry (MRT) is a developing diagnostic technique that leverages advanced medical technologies to accurately measure the temperature of a fluid flow within and around complex geometries. The full three-dimensional temperature field obtained by MRT can be used to analyze heat transfer characteristics and potentially investigate thermal boundary layers near arbitrarily complex surfaces. This technique requires neither optical nor physical accessibility, thereby enabling a wide range of engineering applications. This paper describes the current state of the art for MRT measurement, detailing turbulent water channel tests, materials selection, scanning parameters, data analysis of time-averaged temperature measurements, and uncertainty estimates. The purpose of this work was to evaluate and refine the MRT technique to increase the accuracy of temperature measurements and minimize the error in fully turbulent flow measurements. In the present study, a plate with a vertical cylinder extending from both of its sides was placed between two channels, and a diagonal hole was drilled through the cylinder from one side of the plate to the other. This enabled fluid from one channel to mix with the fluid in the other. This experiment studied the mixing of two fluids at different temperatures. The upstream temperatures of each fluid were measured with thermocouples. Both flows were fully turbulent, and the colder temperature channel had a Reynolds number of 11,800. Tests were run with four different fluid temperatures for calibration and to determine any temperature dependence of measurements. Three-dimensional temperature field measurements are reported and details about data processing and procedures to conduct the experiments are provided. This work resulted in several notable improvements to MRT experimental methods. The test section and water channel were designed to limit the effects of thermal expansion in the stereolithography materials used for manufacturing the complex internal flow geometry. Multiple echo scans were used to minimize the effects of magnetic field drift commonly observed in extended scanning periods in MRI systems. Data analysis techniques were used to quantify expansion effects for both hot and cold flow cases. To quantify measurement uncertainty, the standard deviation of the mean was calculated at each data point across different scan numbers and confidence intervals established using a student t-test. An improved data processing code was used to filter data resulting in increased measurement accuracy and reduced uncertainty to less than 1 °C for most of the domain. Future work will further refine the experimental techniques to improve scanning procedures, employ high conductivity ceramics and larger geometries with relevant applications, and simplify data processing methods to generate full-field flow temperature data.
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Chan, M. L., G. M. Jaramillo, and D. A. Horsley. "Novel Magnetic Micro-Tweezers Leveraging on Magnetic Hard-Disk Drive Technology." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-16143.

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We report the implementation of a magnetic tweezer using an inductive write head from a hard-disk drive for applying forces to micro-magnetic particles in a microscopy setup. Forces are generated by magnetic particles in reaction to the localized fields across the inductive head gap. This allow for mechanical manipulation and measurement of particles in fluid. The displacement is measured through image processing and particle tracking algorithm from the video capture data. We demonstrated the magnetic tweezer system with application to 1-2 μm paramagnetic and 4.5 μm ferromagnetic microparticles and measured forces in the range of 0.1–4 pN.
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Siegwart, Roland Y., Raoul J. P. Herzog, and René Larsonneur. "Identification and Monitoring of Turbo Rotors in Active Magnetic Bearings." In ASME 1994 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/94-gt-111.

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In turbomachinery application Active Magnetic Bearings (AMB) have become an interesting alternative to conventional bearings. They not only offer an excellent solution to suspend the rotor, but also allow for sophisticated real-time data acquisition and monitoring with no additional hardware within the machine. The present paper describes a digital controller environment for active magnetic bearing systems. The controller computer consists of a digital signal processor board with a fast parallel link to a PC. Special software has been developed to directly interfaces the control program to the software package MATLAB1 which is used on the host computer for data processing, identification and controller layout. These facilities are used to achieve time and frequency domain measurements for fast on-site tuning and data monitoring. Different examples are presented to demonstrate these powerful tools. Possible procedure for future system identification are discussed.
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Reports on the topic "Magnetic measurements Data processing"

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ZHANG, Li-Ping, Wei-Sheng HOU, Zhi-Jun YANG, Wen-Long WU, and Yong-Zhang ZHOU. An Improved EMD Approach and Its Application for Magnetic Data Processing. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0078.

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Wang, X., R. Hafalia, J. Joseph, J. Lizarazo, M. Martchevsky, and G. L. Sabbi. A hybrid data acquisition system for magnetic measurements of accelerator magnets. Office of Scientific and Technical Information (OSTI), June 2011. http://dx.doi.org/10.2172/1050677.

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Rheault, M. M., R. Simard, P. Keating, and M. M. Pelletier. Mineral exploration: digital image processing of LANDSAT, SPOT, magnetic and geochemical data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128045.

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Morley, Steven, John Sullivan, Richard Schirato, and James Terry. Data Processing for Energetic Particle Measurements from the Global Positioning System (GPS) constellation. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1164428.

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Symington, N., K. P. Tan, and R. von Spulak. Exploring for the Future – Surface Nuclear Magnetic Resonance (SNMR) method: data acquisition, processing and inversion. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.059.

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Tanny, Josef, Gabriel Katul, Shabtai Cohen, and Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, October 2015. http://dx.doi.org/10.32747/2015.7594402.bard.

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Original objectives and revisions The original objectives as stated in the approved proposal were: (1) To establish guidelines for the use of micrometeorological techniques as accurate, reliable and low-cost tools for continuous monitoring of whole canopy ET of common crops grown in large agricultural structures. (2) To adapt existing methods for protected cultivation environments. (3) To combine previously derived theoretical models of air flow and scalar fluxes in large agricultural structures (an outcome of our previous BARD project) with ET data derived from application of turbulent transport techniques for different crops and structure types. All the objectives have been successfully addressed. The study was focused on both screenhouses and naturally ventilated greenhouses, and all proposed methods were examined. Background to the topic Our previous BARD project established that the eddy covariance (EC) technique is suitable for whole canopy evapotranspiration measurements in large agricultural screenhouses. Nevertheless, the eddy covariance technique remains difficult to apply in the farm due to costs, operational complexity, and post-processing of data – thereby inviting alternative techniques to be developed. The subject of this project was: 1) the evaluation of four turbulent transport (TT) techniques, namely, Surface Renewal (SR), Flux-Variance (FV), Half-order Time Derivative (HTD) and Bowen Ratio (BR), whose instrumentation needs and operational demands are not as elaborate as the EC, to estimate evapotranspiration within large agricultural structures; and 2) the development of mathematical models able to predict water savings and account for the external environmental conditions, physiological properties of the plant, and structure properties as well as to evaluate the necessary micrometeorological conditions for utilizing the above turbulent transfer methods in such protected environments. Major conclusions and achievements The major conclusions are: (i) the SR and FV techniques were suitable for reliable estimates of ET in shading and insect-proof screenhouses; (ii) The BR technique was reliable in shading screenhouses; (iii) HTD provided reasonable results in the shading and insect proof screenhouses; (iv) Quality control analysis of the EC method showed that conditions in the shading and insect proof screenhouses were reasonable for flux measurements. However, in the plastic covered greenhouse energy balance closure was poor. Therefore, the alternative methods could not be analyzed in the greenhouse; (v) A multi-layered flux footprint model was developed for a ‘generic’ crop canopy situated within a protected environment such as a large screenhouse. The new model accounts for the vertically distributed sources and sinks within the canopy volume as well as for modifications introduced by the screen on the flow field and microenvironment. The effect of the screen on fetch as a function of its relative height above the canopy is then studied for the first time and compared to the case where the screen is absent. The model calculations agreed with field experiments based on EC measurements from two screenhouse experiments. Implications, both scientific and agricultural The study established for the first time, both experimentally and theoretically, the use of four simple TT techniques for ET estimates within large agricultural screenhouses. Such measurements, along with reliable theoretical models, will enable the future development of lowcost ET monitoring system which will be attainable for day-to-day use by growers in improving irrigation management.
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Liu, X., Z. Chen, and S. E. Grasby. Using shallow temperature measurements to evaluate thermal flux anomalies in the southern Mount Meager volcanic area, British Columbia, Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330009.

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Geothermal is a clean and renewable energy resource. However, locating where elevated thermal gradient anomalies exist is a significant challenge when trying to assess potential resource volumes during early exploration of a prospective geothermal area. In this study, we deployed 22 temperature probes in the shallow subsurface along the south flank of the Mount Meager volcanic complex, to measure the transient temperature variation from September 2020 to August 2021. In our data analysis, a novel approach was developed to estimate the near-surface thermal distribution, and a workflow and code with python language have been completed for the thermal data pre-processing and analysis. The long-term temperature variation at different depths can be estimated by modelling, so that the relative difference of deducing deeper geothermal gradient anomalies can be assessed. Our proposed inversion and simulation methods were applied to calculating the temperature variation at 2.0 meters depth. The results identified a preferred high thermal flux anomalous zone in the south Mount Meager area. By combining with previous studies, the direct analysis and estimation of anomalous thermal fields based on the collected temperature data can provide a significant reference for interpretation of the regional thermal gradient variation.
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Bruder, Brittany L., Katherine L. Brodie, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing, and Alexander D. Renaud. guiBath y : A Graphical User Interface to Estimate Nearshore Bathymetry from Hovering Unmanned Aerial System Imagery. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39700.

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This US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, technical report details guiBathy, a graphical user interface to estimate nearshore bathymetry from imagery collected via a hovering Unmanned Aerial System (UAS). guiBathy provides an end-to-end solution for non-subject-matter-experts to utilize commercia-off-the-shelf UAS to collect quantitative imagery of the nearshore by packaging robust photogrammetric and signal-processing algorithms into an easy-to-use software interface. This report begins by providing brief background on coastal imaging and the photogrammetry and bathymetric inversion algorithms guiBathy utilizes, as well as UAS data collection requirements. The report then describes guiBathy software specifications, features, and workflow. Example guiBathy applications conclude the report with UAS bathymetry measurements taken during the 2020 Atlantic Hurricane Season, which compare favorably (root mean square error = 0.44 to 0.72 m; bias = -0.35 to -0.11 m) with in situ survey measurements. guiBathy is a standalone executable software for Windows 10 platforms and will be freely available at www.github.com/erdc.
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
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