박사

가시광 및 근적외 스펙트럼의 PLS 회귀 분석을 이용한 고품위 석회암의 CaO 품위 예측

오승찬 2017년
논문상세정보
    • 저자 오승찬
    • 기타서명 Estimation of CaO content in high-calcium limestone from visible and near infrared spectrum using partial least squares regression
    • 형태사항 vii, 129 p.: 삽화: 26 cm
    • 일반주기 참고문헌 수록
    • 학위논문사항 학위논문(박사)-, 에너지시스템공학부, 2017. 2, 서울대학교 대학원
    • DDC 622.33, 22
    • 발행지 서울
    • 언어 kor
    • 출판년 2017
    • 발행사항 서울대학교 대학원
' 가시광 및 근적외 스펙트럼의 PLS 회귀 분석을 이용한 고품위 석회암의 CaO 품위 예측' 의 주제별 논문영향력
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' 가시광 및 근적외 스펙트럼의 PLS 회귀 분석을 이용한 고품위 석회암의 CaO 품위 예측' 의 참고문헌

  • 대한광업진흥공사
    풍촌층에서 산출되는 고품위 석회석의 광화작용 특성 및 생성관계 연구, pp. 5-7 [2004]
  • van der Meer, F., 2004, “Analysis of spectral absorption features in hyperspectral imagery,” International Journal of Applied Earth Observation and Geoinformation, Vol. 5, No. 1, pp. 55-68.
  • de Jong, S., 1993, “SIMPLS: an alternative approach to partial least squares regression,” Chemometrics and Intelligent Laboratory Systems, Vol. 18, pp. 251-263.
  • Wold, S., Sjostrom, M. and Eriksson, L, 2001, “PLS-regression: a basic tool of chemometrics,” Chemometrics and Intelligent Laboratory Systems, Vol. 58, pp. 109-130.
  • Wheeler, B.D., 1999, “Analysis of limestones and dolomites by X128 ray fluorescence,” the Rigaku Journal, Vol. 16, No. 1, pp. 16- 25.
  • Wang, Q., Garrity, G.M., Tiedje, J.M. and Cole, J.R., 2007, "Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy," Applied and Environmental Microbiology, Vol. 73, No. 16, pp. 5261-5267.
  • Vasques, G.M., Grunwald, S. and Sickman, J.O., 2009, “Modeling of soil organic carbon fractions using visible–near-infrared spectroscopy,” Soil Science Society of America Journal, Vol. 73, No. 1, pp. 176-184.
  • Trivedi, M.M., Wyatt, C.L., Anderson, D.R. and Voorheis, H.T., 1984, “Designing a deer detection system using a multistage classification approach,” Photogrammetric Engineering & Remote Sensing, Vol. 50, No. 4, pp. 481–491.
  • Trivedi, M.M., Wyatt, C.L. and Anderson, D.R., 1982, “A multispectral approach to remote detection of deer,” Photogrammetric Engineering & Remote Sensing, Vol. 48, No. 12, pp. 1879–1889.
  • Terletzky, P., Ramsey, R.D. and Neale, C.M.U., 2012, “Spectral characteristics of domestic and wild mammals,” GIScience & Remote Sensing, Vol. 49, No. 4., pp. 597-608.
  • Simaldl, G.J., Paradis, S., Stone, R.S., Fajber, R., Kressall, R.D., Grattan, K., Crozier, J. and Simaldl, L.J., 2014, “Applicability of handheld X-Ray fluorescence spectrometry in the exploration and development of carbonatite-related Niobium deposits: A case study of the Aley carbonatite, British Columbia, Canada,” Geochemistry: Exploration, Environment, Analysis, Vol. 14, pp. 211-221.
  • Rish, P.A. and Lachiche, N., 2004, "Naive Bayesian classification of structured data," Machine Learning, Vol. 57, No. 3, pp. 233- 269.
  • Ralston, J.C., Hainsworth, D.W., Reid, D.C., Anderson, D.L. and McPhee, R.J., 2001, “Recent advances in remote coal mining machine sensing, guidance, and teleoperation,” Robotica, Vol. 19, No. 5, pp. 513-526.
  • Quye-Sawyer, J., Vandeginste, V. and Johnston, K.J., 2015, “Application of handheld energy-dispersive X-ray fluorescence spectrometry to carbonate studies: opportunities and challenges,” Journal of Analytical Atomic Spectrometry, Vol. 30, No. 7, pp. 1417-1680.
  • Osten, D.W., 1988, “Selection of optimal regression models via cross-validation,” Journal of Chemometrics, Vol. 2, No. 1, pp. 39-48.
  • Mudd, G.M., 2010, “The environmental sustainability of mining in Australia: key mega-trends and looming constraints,” Resources Policy, Vol. 35, No. 2, pp. 98-115.
  • Marshall, J.A., Murphy, P.F. and Daneshmend, L.K., 2008, “Toward autonomous excavation of fragmented rock: full-scale experiments,” IEEE Transactions on Automation Science and Engineering, Vol. 5, No. 3, pp. 562 – 566.
  • Magendran, T., Sanjeevi, S. and Arya, B., 2011, “Hyperspectral radiometry to estimate the grades of iron ores of Noamundi, India—a preliminary study,” Journal of Indian Society of Remote Sensing, Vol. 39, No. 4, pp. 473–483.
  • Lynch, K.L., Horgan, B.H., Munakata-Marr, J., Hanley, J., Schneider, R.J., Rey, K.A., Spear J.R., Jackson, w.A. and Ritter, S.M., 2015, “Near-infrared spectroscopy of lacustrine sediments in the Great Salt Lake Desert: An analog study for Martian paleolake basins,” Journal of Geophysical Research: Planets, Vol. 120, No. 3, pp. 599-623.
  • Kwitowski, A.J., Mayercheck, W.D. and Brautigam, A.L., 2002, “Teleoperation for continuous miners and haulage equipment,” IEEE Industry Applications Society, Vol. 28, No. 5, pp. 1118- 1125.
  • Kruse, F.A., and P.L. Hauff, eds., 1992, The IGCP-264 Spectral Properties Database, IUGS/UNESCO, Special Publication, 211 p.
  • Kim, J., Mowat, A., Poole, P. and Kasabov, N., 2000, “Linear and non-linear pattern recognition models for classification of fruit from visible–near infrared spectra,” Chemometrics and Intelligent Laboratory Systems, Vol. 51, No. 2, pp. 201-216.
  • Hunt, G.R., J.W. Salisbury, 1971, “Visible and near-infrared spectra of minerals and rocks: II. Carbonates,” Modern Geology, Vol. 2, pp. 23-30.
  • Hunt, G.R., 1977, “Spectral Signatures of Particulate Minerals, in the Visible and Near Infrared,” Geophysics, No. 42, pp. 501- 513.
  • Hargrave, C.O., Ralston, J.C., and Hainsworth, D.W., 2007, “Optimizing wireless LAN for longwall coal mine automation,” IEEE Transactions on Industry Applications, Vol. 43, No. 1, pp.111-117.
  • Goetz, A.F.H., Curtiss, B. and Shiley, D.A., 2009, “Rapid gangue mineral concentration measurement over conveyors by NIR reflectance spectroscopy,” Minerals Engineering, Vol. 22, pp. 490-499.
  • Gallie, E.A., McArdle, S., Rivard, B. and Francis, H., 2002, “Estimating sulphide ore grade in broken rock using visible/infrared hyperspectral reflectance spectra,” International Journal of Remote Sensing, Vol. 23, No. 11, pp. 2229-2246.
  • Gaffey, S. J., 1986, “Spectral reflectance of carbonate minerals in the visible and near infrared (0.35–2.55 microns): Calcite, aragonite, and dolomite,” American Mineralogist, Vol. 71, pp. 151–162.
  • Downey, G., McIntyre, P. and Davies, A.N., 2002, “Detecting and quantifying sunflower oil adulteration in extra virgin olive oils from the eastern Mediterranean by visible and near-infrared spectroscopy,” Journal of Agricultural and Food Chemistry, Vol. 50, No. 20, pp. 5520-5525.
  • Dowell, F.E., 1998, “Automated color classification of single wheat kernels using visible and near-infrared reflectance,” Cereal Chemistry, Vol. 75, No. 1, pp. 142-144.
  • Ding, H.B., and Xu, R.J., 1999, “Differentiation of beef and kangaroo meat by visible/near-infrared reflectance spectroscopy,” Journal of Food Science, Vol. 64, No. 5, pp. 814-817.
  • Cozzolino, D., Smyth, H.E. and Gishen, M., 2003, “Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins,” Journal of Agricultural and Food Chemistry, Vol. 51, pp. 7703-7708.
  • Cozzolino, D. and Murray, I., 2004, “Identification of animal meat muscles by visible and near infrared reflectance spectroscopy,” LWT - Food Science and Technology, Vol. 37, No. 4, pp. 447-452.
  • Clark, R.N., and Roush, T.L., 1984, “Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications,” Journal of Geophysical Research, Vol. 89, pp. 6329- 6340.
  • Clark, R.N., Swayze, G.A., Wise, R., Livo, K.E., Hoefen, T.M., Kokaly, R.F. and Sutley S.J., 2007, USGS Digital Spectral Library splib06a, U.S. Geological Survey, Data Series 231.
  • Clark, R.N., 1995, Reflectance Spectra, AGU Handbook of Physical Constants, pp. 178-188.
  • Clark, R. N., 1999, Chapter 1: Spectroscopy of Rocks and Minerals, and Principles of Spectroscopy, in Manual of Remote Sensing, Volume 3, Remote Sensing for the Earth Sciences, (A.N. Rencz, ed.) John Wiley and Sons, New York, pp. 3-58.
  • Chong, I.G. and Jun C.H., 2005, “Performance of some variable selection methods when multicollinearity is present,” Chemometrics and Intelligent Laboratory Systems, Vol. 78, pp. 103-112.
  • Choi, D.K. and Chough, S.K., 2005, “The Cambrian-Ordovician stratigraphy of the Taebaeksan Basin, Korea: a review,” Geosciences Journal, Vol. 9, No. 2, pp. 187-214.
  • Chang, C.W. and Laird, D., 2002, “Near-infrared reflectance spectroscopic analysis of soil C and N,” Soil Science, Vol. 167, No. 2, pp. 110-116.
  • Ben-Dor, E., Inbar, Y. and Chen, Y., 1997, “The reflectance spectra of organic matter in the visible near-infrared and short wave infrared region (400–2500 nm) during a controlled decomposition process,” Remote Sensing of Environment, Vol. 61, No. 1, pp. 1-15.
  • Bellamy, D. and Pravica, B., 2011, “Assessing the impact of driverless haul trucks in Australian surface mining,” Resources Policy, Vol. 36, No. 2, pp. 149–158.
  • Basile, A., Hughes, J., McFarlane, A.J. and Bhargava, S.K., 2010, “Development of a model for serpentine quantification in nickel laterite minerals by infrared spectroscopy,” Minerals Engineering, Vol. 23, No. 5, pp. 407-412.
  • Barbin, D., Elmasry, G., Sun, D.W. and Allen, P, 2012, “Nearinfrared hyperspectral imaging for grading and classification of pork,” Meat Science, Vol. 90, No. 1, pp. 259-268.