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Journal articles on the topic 'Tem data'

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Published: 4 June 2021
Last updated: 17 February 2022

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1

Stolz, E. M., and J. C. Macnae. "Fast Approximate Inversion of Tem Data." Exploration Geophysics 28, no. 3 (June 1997): 317–22. http://dx.doi.org/10.1071/eg997317.

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2

Chen, Wuhui, Baichuan Liu, Incheon Paik, Zhenni Li, and Zibin Zheng. "QoS-Aware Data Placement for MapReduce Applications in Geo-Distributed Data Centers." IEEE Transactions on Engineering Management 68, no. 1 (February 2021): 120–36. http://dx.doi.org/10.1109/tem.2020.2971717.

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3

Kozhevnikov, N. O., and E. Yu Antonov. "Joint inversion of IP-affected TEM data." Russian Geology and Geophysics 50, no. 2 (February 2009): 136–42. http://dx.doi.org/10.1016/j.rgg.2008.06.021.

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4

Fellmann, D., J. Pulokas, B. Carragher, and CS Potter. "Automated Data Collection for Serial Section TEM." Microscopy and Microanalysis 12, S02 (July 31, 2006): 1106–7. http://dx.doi.org/10.1017/s1431927606065226.

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5

Liu, Guimin, and Michael Asten. "Conductance-Depth Imaging of Airborne TEM Data." Exploration Geophysics 24, no. 3-4 (September 1993): 655–61. http://dx.doi.org/10.1071/eg993655.

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6

Baudin, T., F. Julliard, P. Paillard, and R. Penelle. "Simulation of primary recrystallization from tem orientation data." Scripta Materialia 43, no. 1 (June 2000): 63–68. http://dx.doi.org/10.1016/s1359-6462(00)00365-1.

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7

Fullagar, Peter, and Glenn Pears. "High resolution conductivity-depth transformation of TEM data." ASEG Extended Abstracts 2010, no. 1 (December 2010): 1–4. http://dx.doi.org/10.1081/22020586.2010.12041990.

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8

Guo, Wen-Bo, Guo-Qiang Xue, Xiu Li, and Yin-Ai Liu. "Correlation analysis and imaging technique of TEM data." Exploration Geophysics 43, no. 3 (September 2012): 137–48. http://dx.doi.org/10.1071/eg11034.

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9

Asten, Michael W. "Interpretation of Ground TEM Data from Conductive Terranes." Exploration Geophysics 23, no. 1-2 (March 1992): 9–16. http://dx.doi.org/10.1071/eg992009.

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10

Fullagar, P. K., J. E. Reid, and P. K. Fullagar. "Conductivity-depth Transformation of Fixed Loop TEM Data." Exploration Geophysics 23, no. 3 (June 1992): 515–19. http://dx.doi.org/10.1071/eg992515.

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11

Fullagar, P. K., and J. E. Reid. "Emax conductivity-depth transformation of airborne TEM data." ASEG Extended Abstracts 2001, no. 1 (December 2001): 1–2. http://dx.doi.org/10.1071/aseg2001ab044.

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12

Andersen, Kristoffer R., Casper Kirkegaard, Esben Auken, and Anders V. Christiansen. "Towards 3D inversion of ground based TEM data." ASEG Extended Abstracts 2016, no. 1 (December 2016): 1–5. http://dx.doi.org/10.1071/aseg2016ab243.

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13

Scala, Natalie M., Jayant Rajgopal, and Kim LaScola Needy. "Managing Nuclear Spare Parts Inventories: A Data Driven Methodology." IEEE Transactions on Engineering Management 61, no. 1 (February 2014): 28–37. http://dx.doi.org/10.1109/tem.2013.2283170.

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14

Owolabi, Hakeem A., Muhammad Bilal, Lukumon O. Oyedele, Hafiz A. Alaka, Saheed O. Ajayi, and Olugbenga O. Akinade. "Predicting Completion Risk in PPP Projects Using Big Data Analytics." IEEE Transactions on Engineering Management 67, no. 2 (May 2020): 430–53. http://dx.doi.org/10.1109/tem.2018.2876321.

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15

Ghorbani, Mazaher, and Masoud Abessi. "A New Methodology for Mining Frequent Itemsets on Temporal Data." IEEE Transactions on Engineering Management 64, no. 4 (November 2017): 566–73. http://dx.doi.org/10.1109/tem.2017.2712606.

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16

Nèmeth, Pèter Khomyakov, Giovanni Ferraris, and Yuriy P. Menshikov. "Nechelyustovite, a new heterophyllosilicate mineral, and new data on bykovaite: a comparative TEM study." European Journal of Mineralogy 21, no. 1 (February 6, 2009): 251–60. http://dx.doi.org/10.1127/0935-1221/2009/0021-1864.

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17

Canakoglu, Ethem, S. Sinan Erzurumlu, and Yaman Omer Erzurumlu. "How Data-Driven Entrepreneur Analyzes Imperfect Information for Business Opportunity Evaluation." IEEE Transactions on Engineering Management 65, no. 4 (November 2018): 604–17. http://dx.doi.org/10.1109/tem.2018.2826983.

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18

Alaka, Hafiz, Lukumon Oyedele, Hakeem Owolabi, Olugbenga Akinade, Muhammad Bilal, and Saheed Ajayi. "A Big Data Analytics Approach for Construction Firms Failure Prediction Models." IEEE Transactions on Engineering Management 66, no. 4 (November 2019): 689–98. http://dx.doi.org/10.1109/tem.2018.2856376.

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19

Shahriar Rahman, Mohammad, Abdullah Al Omar, Md Zakirul Alam Bhuiyan, Anirban Basu, Shinsaku Kiyomoto, and Guojon Wang. "Accountable Cross-Border Data Sharing Using Blockchain Under Relaxed Trust Assumption." IEEE Transactions on Engineering Management 67, no. 4 (November 2020): 1476–86. http://dx.doi.org/10.1109/tem.2019.2960829.

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20

Tessmer, Joseph, Saransh Singh, and Marc De Graef. "Dynamical Diffraction S/TEM Simulations from Molecular Dynamics Data." Microscopy and Microanalysis 24, S1 (August 2018): 208–9. http://dx.doi.org/10.1017/s1431927618001538.

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21

Holladay, J. S., W. E. Doll, L. P. Beard, J. L. C. Lee, and D. T. Bell. "UXO Time-Constant Estimation from Helicopter-Borne TEM Data." Journal of Environmental & Engineering Geophysics 11, no. 1 (March 1, 2006): 43–52. http://dx.doi.org/10.2113/jeeg11.1.43.

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22

Yoshioka, C., N. Voss, J. Pulokas, D. Fellmann, A. Cheng, B. Carragher, and C. Potter. "Automated Large Scale Tilt Pair Data Collection for TEM." Microscopy and Microanalysis 14, S2 (August 2008): 798–99. http://dx.doi.org/10.1017/s1431927608084237.

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23

Vilhelmsen, Troels N., Ahmad A. Behroozmand, Steen Christensen, and Toke H. Nielsen. "Joint inversion of aquifer test, MRS, and TEM data." Water Resources Research 50, no. 5 (May 2014): 3956–75. http://dx.doi.org/10.1002/2013wr014679.

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24

Huang, Lanying, Shengdong Liu, Bo Wang, and Fubao Zhou. "Quantitative Calculation of Aquifer Water Quantity Using TEM Data." Earth Sciences Research Journal 21, no. 1 (January 1, 2017): 51. http://dx.doi.org/10.15446/esrj.v21n1.63002.

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Abstract:
Mine water is a menace to coal mining. Mine water quantity is generally detected by drilling in the coal mine roadway, and the disadvantage is high workload and low efficiency. Therefore, transient electromagnetic method (TEM) was proposed, and TEM data was processed to detect the water yield property of a targeted layer in coal mine. Through a mine-oriented 3D Transient Electromagnetic Method observing system, the signal of induced voltage is obtainable. Transient Electromagnetic Method 3D data volume can be calculated through the calculation of all-time resistivity and time-depth conversion. After an appropriate apparent resistivity value is set, the spatial distribution range of an aquifer can be determined. Then, with water-filling coefficient of the aquifer, its water quantity can be estimated. The water yield property detection results in the No.4 coal seam goaf of the No.80101 workface in Jude Mine of Shanxi, China, demonstrates that the apparent resistivity of this goaf is less than 3 Ω.m, and the projection area of low-resistivity anomaly zone is 22,383 m2. By using the formula Q=KMS, we can estimate that the water volume is 33,574 m3. Three boreholes have been constructed for the later dredging and drainage project, which results in a total water yield of 33,089 m3. The error percentage of the predicted water quantity is less than 1.5%. It can thus be concluded that it is feasible to predict aquifer water content with TEM data. Cálculo cuantitativo del volumen de aguas subterráneas a través del Método Electromagnético Transitorio (TEM)ResumenEl agua al interior de las minas es una amenaza para la minería de carbón. La cantidad del agua en las minas se detecta al perforar en las vías del socavón, con la desventaja de la carga de trabajo y la baja eficacia que significan. Por esto, el presente trabajo propone el Método Electromagnético Transitorio (TEM, del inglés Transient Electromagnetic Method) y utiliza la información generada para detectar las propiedades de producción de agua en una capa específica de una mina de carbón. A través de un sistema de observación tridimensional TEM orientado a minas se puede obtener la señal del voltaje inducido. La capacidad de la información del sistema TEM tridimensional se puede calcular al obtener la resistividad y la conversión tiempo-profundidad. Tan pronto se establece el valor apropiado de la resistividad aparente se puede determinar el rango de distribución de un acuífero. Luego, con el coeficiente de saturación del acuífero se puede calcular la cantidad de agua. Los resultados de la detección de las propiedades de producción de agua en la mina abandonada número cuatro de frente de trabajo número 80101 de la mina Jude, en Shanxi, China, demostró que la resistividad aparente de esta excavación es de 3 Ω.m, y el área de proyección de la zona anómala de baja resistividad es 22.383 m2. Al usar la fórmula Q=KMS, se estimó que el volumen de agua es de 33,574 m3. Tres pozos se han construido para el próximo proyecto de dragado y drenaje, cuyos resultados de producción de agua es de 33,089 m3. El porcentaje de error de la predicción de la cantidad de agua es menor al 1.5 %. Se concluye, por ende, que es factible producir el contenido de agua de un acuífero con la información del TEM.
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25

Fullagar, P. K. "Inversion of Downhole TEM Data Using Circular Current Filaments." Exploration Geophysics 18, no. 3 (June 1987): 341–44. http://dx.doi.org/10.1071/eg987341.

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26

Cull, L. J., M. J. Asten, and J. P. Cull. "Reflection models and ramp response for downhole TEM data." Exploration Geophysics 29, no. 3-4 (September 1998): 320–23. http://dx.doi.org/10.1071/eg998320.

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27

Eriksen, Rolf W., Erik Sørbrøden, Svein Messelt, and Arne Olsen. "On-line acquisition of electron diffraction data in TEM." Micron and Microscopica Acta 23, no. 1-2 (January 1992): 159–60. http://dx.doi.org/10.1016/0739-6260(92)90117-v.

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28

XUE, Guo-Qiang, Xiu LI, Wen-Bo GUO, Jian-Ping SONG, and Qing-Yun DI. "Equivalent Transformation from TEM Field Sounding Data to Plane-Wave Electromagnetic Sounding Data." Chinese Journal of Geophysics 49, no. 5 (September 2006): 1386–93. http://dx.doi.org/10.1002/cjg2.963.

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29

Huntley, C. L. "Organizational learning in open-source software projects: an analysis of debugging data." IEEE Transactions on Engineering Management 50, no. 4 (November 2003): 485–93. http://dx.doi.org/10.1109/tem.2003.820136.

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30

Sen, A., A. P. Sinha, and K. Ramamurthy. "Data Warehousing Process Maturity: An Exploratory Study of Factors Influencing User Perceptions." IEEE Transactions on Engineering Management 53, no. 3 (August 2006): 440–55. http://dx.doi.org/10.1109/tem.2006.877460.

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31

Wang, Hui-Ju, and Jin Lo. "Factors Influencing the Adoption of Open Government Data at the Firm Level." IEEE Transactions on Engineering Management 67, no. 3 (August 2020): 670–82. http://dx.doi.org/10.1109/tem.2019.2898107.

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32

Olivares-Rojas, Juan Carlos, Enrique Reyes-Archundia, Jose A. Gutierrez-Gnecchi, Jaime Cerda-Jacobo, and Johan W. Gonzalez-Murueta. "A Novel Multitier Blockchain Architecture to Protect Data in Smart Metering Systems." IEEE Transactions on Engineering Management 67, no. 4 (November 2020): 1271–84. http://dx.doi.org/10.1109/tem.2019.2950410.

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33

Yeh, Lo-Yao, Peggy Joy Lu, Szu-Hao Huang, and Jiun-Long Huang. "SOChain: A Privacy-Preserving DDoS Data Exchange Service Over SOC Consortium Blockchain." IEEE Transactions on Engineering Management 67, no. 4 (November 2020): 1487–500. http://dx.doi.org/10.1109/tem.2020.2976113.

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34

Doherty, N. F., and G. Doig. "An analysis of the anticipated cultural impacts of the implemementation of data warehouses." IEEE Transactions on Engineering Management 50, no. 1 (February 2003): 78–88. http://dx.doi.org/10.1109/tem.2002.808302.

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35

Saygin, Y., A. Reisman, and Y. Wang. "Value of Information Gained From Data Mining in the Context of Information Sharing." IEEE Transactions on Engineering Management 51, no. 4 (November 2004): 441–50. http://dx.doi.org/10.1109/tem.2004.836359.

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36

Mahapatra, Santosh, Raktim Pal, Tomas Hult, and Srinivas Talluri. "Assessment of Proactive Environmental Initiatives: Evaluation of Efficiency Based on Interval-Scale Data." IEEE Transactions on Engineering Management 62, no. 2 (May 2015): 280–93. http://dx.doi.org/10.1109/tem.2015.2413938.

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37

Kozhevnikov, N. O., and E. Yu Antonov. "Magnetic relaxation of a horizontal layer: Effect on TEM data." Russian Geology and Geophysics 52, no. 4 (April 2011): 398–404. http://dx.doi.org/10.1016/j.rgg.2011.03.002.

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38

Qingyi, Wang, Tan Da, and Yao Zhilong. "Removal of static shift in MT data using TEM soundings." Leading Edge 16, no. 4 (April 1997): 358–59. http://dx.doi.org/10.1190/1.1437634.

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39

Gramm, F., L. B. McCusker, and C. Bärlocher. "Using transmission electron microscopy (TEM) to complement powder diffraction data." Acta Crystallographica Section A Foundations of Crystallography 61, a1 (August 23, 2005): c455. http://dx.doi.org/10.1107/s010876730508092x.

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40

Cull, J. P. "Short Note: Sensor Response and Resolution in Downhole Tem Data." Exploration Geophysics 27, no. 2-3 (June 1996): 167–69. http://dx.doi.org/10.1071/eg996167.

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41

Fullagar, Peter K., Glenn A. Pears, and James E. Reid. "Hybrid 1D/3D geologically constrained inversion of airborne TEM data." ASEG Extended Abstracts 2013, no. 1 (December 2013): 1–4. http://dx.doi.org/10.1071/aseg2013ab256.

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42

Fullagar, Peter K., and Dennis Woods. "Fast 3D inversion of “total field” resistive limit TEM data." ASEG Extended Abstracts 2016, no. 1 (December 2016): 1–8. http://dx.doi.org/10.1071/aseg2016ab185.

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43

Zhou, Nannan, Guoqiang Xue, Weiying Chen, Jiangwei Cui, and Kang Chen. "A comparison of TEM data from different near-source systems." Journal of Geophysics and Engineering 14, no. 3 (March 21, 2017): 487–501. http://dx.doi.org/10.1088/1742-2140/aa5cde.

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44

Farris, J. A., R. L. Groesbeck, E. M. Van Aken, and G. Letens. "Evaluating the Relative Performance of Engineering Design Projects: A Case Study Using Data Envelopment Analysis." IEEE Transactions on Engineering Management 53, no. 3 (August 2006): 471–82. http://dx.doi.org/10.1109/tem.2006.878100.

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45

Hultink, Erik Jan, Katrin Talke, Abbie Griffin, and Erik Veldhuizen. "Market Information Processing in New Product Development: The Importance of Process Interdependency and Data Quality." IEEE Transactions on Engineering Management 58, no. 2 (May 2011): 199–211. http://dx.doi.org/10.1109/tem.2009.2034254.

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46

Schmidt, Klaus Werner, and Oncu Hazir. "A Data Envelopment Analysis Method for Finding Robust and Cost-Efficient Schedules in Multimode Projects." IEEE Transactions on Engineering Management 67, no. 2 (May 2020): 414–29. http://dx.doi.org/10.1109/tem.2018.2888817.

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47

Epiphaniou, Gregory, Prashant Pillai, Mirko Bottarelli, Haider Al-Khateeb, Mohammad Hammoudesh, and Carsten Maple. "Electronic Regulation of Data Sharing and Processing Using Smart Ledger Technologies for Supply-Chain Security." IEEE Transactions on Engineering Management 67, no. 4 (November 2020): 1059–73. http://dx.doi.org/10.1109/tem.2020.2965991.

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48

Khokhar, Rashid Hussain, Farkhund Iqbal, Benjamin C. M. Fung, and Jamal Bentahar. "Enabling Secure Trustworthiness Assessment and Privacy Protection in Integrating Data for Trading Person-Specific Information." IEEE Transactions on Engineering Management 68, no. 1 (February 2021): 149–69. http://dx.doi.org/10.1109/tem.2020.2974210.

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49

Luo, Changyue, Sameer Kumar, Debasish N. Mallick, and Biao Luo. "Impacts of Exploration and Exploitation on Firm's Performance and the Moderating Effects of Slack: A Panel Data Analysis." IEEE Transactions on Engineering Management 66, no. 4 (November 2019): 613–20. http://dx.doi.org/10.1109/tem.2018.2859043.

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50

Levesque, M., and N. Joglekar. "Guest Editorial Resource, Routine, Reputation, or Regulation Shortages: Can Data- and Analytics-Driven Capabilities Inform Tech Entrepreneur Decisions." IEEE Transactions on Engineering Management 65, no. 4 (November 2018): 537–44. http://dx.doi.org/10.1109/tem.2018.2869183.

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