Relevant bibliographies by topics / Depth of field

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Depth of field'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Depth of field"

1

Baylin, Eric. "Depth of Field/Depth of Understanding." Schools 7, no. 1 (2010): 86–100. http://dx.doi.org/10.1086/651297.

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Harper, Graeme. "Depth of Field." Creative Industries Journal 11, no. 3 (2018): 223–24. http://dx.doi.org/10.1080/17510694.2018.1534414.

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Değirmenci, Koray. "Depth of field." Philosophy of Photography 5, no. 2 (2014): 123–29. http://dx.doi.org/10.1386/pop.5.2.123_7.

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Vasudevan, Krishnan. "Depth of Field." Journalism Practice 13, no. 2 (2018): 229–46. http://dx.doi.org/10.1080/17512786.2017.1419826.

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Brown, Deeadra. "Depth of field." Dialectical Anthropology 33, no. 2 (2009): 201–2. http://dx.doi.org/10.1007/s10624-009-9115-8.

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Soler, Cyril, Kartic Subr, Frédo Durand, Nicolas Holzschuch, and François Sillion. "Fourier depth of field." ACM Transactions on Graphics 28, no. 2 (2009): 1–12. http://dx.doi.org/10.1145/1516522.1516529.

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Zhang, Tingting, Louise O’hare, Paul B. Hibbard, Harold T. Nefs, and Ingrid Heynderickx. "Depth of Field Affects Perceived Depth in Stereographs." ACM Transactions on Applied Perception 11, no. 4 (2015): 1–18. http://dx.doi.org/10.1145/2667227.

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Landers, Mark N., and David S. Mueller. "Evaluation of Selected Pier-Scour Equations Using Field Data." Transportation Research Record: Journal of the Transportation Research Board 1523, no. 1 (1996): 186–95. http://dx.doi.org/10.1177/0361198196152300123.

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Field measurements of channel scour at bridges are needed to improve the understanding of scour processes and the ability to accurately predict scour depths. An extensive data base of pier-scour measurements has been developed over the last several years in cooperative studies between state highway departments, the Federal Highway Administration, and the U.S. Geological Survey. Selected scour processes and scour design equations are evaluated using 139 measurements of local scour in live-bed and clear-water conditions. Pier-scour measurements were made at 44 bridges around 90 bridge piers in 1
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Moon, Won-Leep. "Depth of field and magnification." journal of the moving image technology associon of korea 1, no. 12 (2010): 25–41. http://dx.doi.org/10.34269/mitak.2010.1.12.002.

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Geuens, Jean-Pierre. "The Depth of the Field." Quarterly Review of Film and Video 31, no. 6 (2014): 572–85. http://dx.doi.org/10.1080/10509208.2012.686812.

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Dissertations / Theses on the topic "Depth of field"

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Ramirez, Hernandez Pavel. "Extended depth of field." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9941.

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In this thesis the extension of the depth of field of optical systems is investigated. The problem of achieving extended depth of field (EDF) while preserving the transverse resolution is also addressed. A new expression for the transport of intensity equation in the prolate spheroidal coordinates system is derived, with the aim of investigating the phase retrieval problem with applications to EDF. A framework for the optimisation of optical systems with EDF is also introduced, where the main motivation is to find an appropriate scenario that will allow a convex optimisation solution leading t
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Villarruel, Christina R. "Computer graphics and human depth perception with gaze-contingent depth of field /." Connect to online version, 2006. http://ada.mtholyoke.edu/setr/websrc/pdfs/www/2006/175.pdf.

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Aldrovandi, Lorenzo. "Depth estimation algorithm for light field data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Botcherby, Edward J. "Aberration free extended depth of field microscopy." Thesis, University of Oxford, 2007. http://ora.ox.ac.uk/objects/uuid:7ad8bc83-6740-459f-8c48-76b048c89978.

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In recent years, the confocal and two photon microscopes have become ubiquitous tools in life science laboratories. The reason for this is that both these systems can acquire three dimensional image data from biological specimens. Specifically, this is done by acquiring a series of two-dimensional images from a set of equally spaced planes within the specimen. The resulting image stack can be manipulated and displayed on a computer to reveal a wealth of information. These systems can also be used in time lapse studies to monitor the dynamical behaviour of specimens by recording a number of ima
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Möckelind, Christoffer. "Improving deep monocular depth predictions using dense narrow field of view depth images." Thesis, KTH, Robotik, perception och lärande, RPL, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235660.

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In this work we study a depth prediction problem where we provide a narrow field of view depth image and a wide field of view RGB image to a deep network tasked with predicting the depth for the entire RGB image. We show that by providing a narrow field of view depth image, we improve results for the area outside the provided depth compared to an earlier approach only utilizing a single RGB image for depth prediction. We also show that larger depth maps provide a greater advantage than smaller ones and that the accuracy of the model decreases with the distance from the provided depth. Further,
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Ozkalayci, Burak Oguz. "Multi-view Video Coding Via Dense Depth Field." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607517/index.pdf.

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Emerging 3-D applications and 3-D display technologies raise some transmission problems of the next-generation multimedia data. Multi-view Video Coding (MVC) is one of the challenging topics in this area, that is on its road for standardization via ISO MPEG. In this thesis, a 3-D geometry-based MVC approach is proposed and analyzed in terms of its compression performance. For this purpose, the overall study is partitioned into three preceding parts. The first step is dense depth estimation of a view from a fully calibrated multi-view set. The calibration information and smoothness assumptions
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Lindeberg, Tim. "Concealing rendering simplifications using gazecontingent depth of field." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189601.

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One way of increasing 3D rendering performance is the use of foveated rendering. In this thesis a novel foveated rendering technique called gaze contingent depth of field tessellation (GC DOF tessellation) is proposed. Tessellation is the process of subdividing geometry to increase detail. The technique works by applying tessellation to all objects within the focal plane, gradually decreasing tessellation levels as applied blur increases. As the user moves their gaze the focal plane shifts and objects go from blurry to sharp at the same time as the fidelity of the object increases. This can he
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Rangappa, Shreedhar. "Absolute depth using low-cost light field cameras." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/36224.

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Digital cameras are increasingly used for measurement tasks within engineering scenarios, often being part of metrology platforms. Existing cameras are well equipped to provide 2D information about the fields of view (FOV) they observe, the objects within the FOV, and the accompanying environments. But for some applications these 2D results are not sufficient, specifically applications that require Z dimensional data (depth data) along with the X and Y dimensional data. New designs of camera systems have previously been developed by integrating multiple cameras to provide 3D data, ranging from
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Reinhart, William Frank. "Effects of depth cues on depth judgments using a field-sequential stereoscopic CRT display /." This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-07132007-143145/.

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Reinhart, William Frank. "Effects of depth cues on depth judgements using a field-sequential stereoscopic CRT display." Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/38796.

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Books on the topic "Depth of field"

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Depth of field. Dewi Lewis Pub., 2000.

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Applied depth of field. Focal Press, 1985.

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Heyen, William. Depth of field: Poems. Carnegie Mellon University Press, 2005.

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Depth of field: Poems and photographs. Antrim House, 2010.

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Geoffrey, Cocks, Diedrick James, and Perusek Glenn, eds. Depth of field: Stanley Kubrick, film, and the uses of history. University of Wisconsin Press, 2006.

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Depth of field: Essays on photography, mass media, and lens culture. University of New Mexico Press, 1998.

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Goss, Keith Michael. Multi-dimensional polygon-based rendering for motion blur and depth of field. Brunel University, 1986.

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Ruotoistenmäki, Tapio. Estimation of depth to potential field sources using the Fourier amplitude spectrum. Geologian tutkimuskeskus, 1987.

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N, Rajagopalan A., ed. Depth from defocus: A real aperture imaging approach. Springer, 1999.

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Timmins 2003 Field Conference Ore Deposits at Depth 2003. Timmins 2003 Field Conference: Ore deposits at depth challenges and opportunities, Technical sessions abstract volume and field trip guide, CIM. Canadian Institute of Mining and Metallurgy, 2003.

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Book chapters on the topic "Depth of field"

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Gooch, Jan W. "Depth of Field." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_3432.

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Kemp, Jonathan. "Depth of field." In Film on Video. Routledge, 2019. http://dx.doi.org/10.4324/9780429468872-6.

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Ravitz, Jeff, and James L. Moody. "Depth of Field." In Lighting for Televised Live Events. Routledge, 2021. http://dx.doi.org/10.4324/9780429288982-11.

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Atchison, David A., and George Smith. "Depth-of-Field." In Optics of the Human Eye, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003128601-24.

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Schedl, David C., Clemens Birklbauer, Johann Gschnaller, and Oliver Bimber. "Generalized Depth-of-Field Light-Field Rendering." In Computer Vision and Graphics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46418-3_9.

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Nagahara, Hajime, Sujit Kuthirummal, Changyin Zhou, and Shree K. Nayar. "Flexible Depth of Field Photography." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88693-8_5.

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Huntley, Jonathan M., and Pablo D. Ruiz. "Depth-Resolved Displacement Field Measurement." In Advances in Speckle Metrology and Related Techniques. Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527633852.ch2.

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Stephenson, Ian. "Motion Blur and Depth of Field." In Essential Series. Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3800-6_15.

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Dudkiewicz, Krzysztof. "Real-Time Depth of Field Algorithm." In Image Processing for Broadcast and Video Production. Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3035-2_22.

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Alió, Jorge L., Andrzej Grzybowski, and Piotr Kanclerz. "Extended Depth-of-Field Intraocular Lenses." In Essentials in Ophthalmology. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21282-7_26.

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Conference papers on the topic "Depth of field"

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A. Dangerfield, J., H. Raymondi, O. Fjeld, and P. Haskey. "Imaging at Emblar Field." In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406704.

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Mauderer, Michael, Simone Conte, Miguel A. Nacenta, and Dhanraj Vishwanath. "Depth perception with gaze-contingent depth of field." In CHI '14: CHI Conference on Human Factors in Computing Systems. ACM, 2014. http://dx.doi.org/10.1145/2556288.2557089.

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Chauris, H., and M. Noble. "Differential Semblance Optimization for 2D Velocity Field Estimation." In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406681.

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Choi, Whan, Kyung-Rae Kim, and Chang-Su Kim. "Reliable Depth-of-Field Rendering Using Estimated Depth Maps." In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. http://dx.doi.org/10.1109/iscas.2018.8351453.

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Kao, Yi-Hao, Chia-Kai Liang, Li-Wen Chang, and Homer H. Chen. "Depth Detection of Light Field." In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366052.

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Smith, Christopher, Edward Botcherby, Martin Booth, Rimas Juskaitis, and Tony Wilson. "Extended depth-of-field microscopy." In BiOS, edited by Jose-Angel Conchello, Carol J. Cogswell, Tony Wilson, and Thomas G. Brown. SPIE, 2010. http://dx.doi.org/10.1117/12.842160.

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Zhang, Jiaqi, Jingsuo He, Lihua Geng, Zhichen Bai, Bo Su, and Cunlin Zhang. "Research on depth-of-field depth-of-light field microscopy in the terahertz band." In Infrared, Millimeter-Wave, and Terahertz Technologies VI, edited by Xi-Cheng Zhang, Masahiko Tani, and Cunlin Zhang. SPIE, 2019. http://dx.doi.org/10.1117/12.2537710.

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Wu, Zijin, Xingyi Li, Juewen Peng, Hao Lu, Zhiguo Cao, and Weicai Zhong. "DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields." In MM '22: The 30th ACM International Conference on Multimedia. ACM, 2022. http://dx.doi.org/10.1145/3503161.3548088.

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Grosset, A. V. Pascal, Mathias Schott, Georges-Pierre Bonneau, and Charles D. Hansen. "Evaluation of Depth of Field for depth perception in DVR." In 2013 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2013. http://dx.doi.org/10.1109/pacificvis.2013.6596131.

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Tosic, Ivana, and Kathrin Berkner. "Light Field Scale-Depth Space Transform for Dense Depth Estimation." In 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2014. http://dx.doi.org/10.1109/cvprw.2014.71.

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Reports on the topic "Depth of field"

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McLean, William E. ANVIS Objective Lens Depth of Field. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada306571.

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Al-Mutawaly, Nafia, Hubert de Bruin, and Raymond D. Findlay. Magnetic Nerve Stimulation: Field Focality and Depth of Penetration. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada411028.

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Cathey, W. T., Benjamin Braker, and Sherif Sherif. Analysis and Design Tools for Passive Ranging and Reduced-Depth-of-Field Imaging. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada417814.

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Claycomb, William R., Roy Maxion, Jason Clark, et al. Deep Focus: Increasing User Depth of Field" to Improve Threat Detection (Oxford Workshop Poster)". Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada610980.

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Nelson, Jonathan M. Laboratory and Field Application of River Depth Estimation Techniques Using Remotely Sensed Data: Annual Report Year 1. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada597757.

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Wei, X., J. Braverman, M. Miranda, M. E. Rosario, and C. J. Costantino. Depth-dependent Vertical-to-Horizontal (V/H) Ratios of Free-Field Ground Motion Response Spectra for Deeply Embedded Nuclear Structures. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1176998.

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Niple, E. R., and H. E. Scott. Biogenic Aerosols – Effects on Climate and Clouds. Cloud Optical Depth (COD) Sensor Three-Waveband Spectrally-Agile Technique (TWST) Field Campaign Report. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1248494.

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Ray, Laura, Madeleine Jordan, Steven Arcone, et al. Velocity field in the McMurdo shear zone from annual ground penetrating radar imaging and crevasse matching. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42623.

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The McMurdo shear zone (MSZ) is strip of heavily crevassed ice oriented in the south-north direction and moving northward. Previous airborne surveys revealed a chaotic crevasse structure superimposed on a set of expected crevasse orientations at 45 degrees to the south-north flow (due to shear stress mechanisms). The dynamics that produced this chaotic structure are poorly understood. Our purpose is to present our field methodology and provide field data that will enable validation of models of the MSZ evolution, and here, we present a method for deriving a local velocity field from ground pen
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Kim, D. H., K. E. Gray, J. D. Hettinger, and J. H. Kang. Determination of the temperature dependence of the penetration depth of Nb in Nb/AlO{sub x}/Nb Josephson junctions from a resistive measurement in a magnetic field. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/195746.

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Berney, Ernest, Jami Lynn Daugherty, and Lulu Edwards. Validation of the automatic dynamic cone penetrometer. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44704.

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The U.S. military requires a rapid means of measuring subsurface soil strength for construction and repair of expeditionary pavement surfaces. Traditionally, a dynamic cone penetrometer (DCP) has served this purpose, providing strength with depth profiles in natural and prepared pavement surfaces. To improve upon this device, the Engineer Research and Development Center (ERDC) validated a new battery-powered automatic dynamic cone penetrometer (A-DCP) apparatus that automates the driving process by using a motor-driven hammering cap placed on top of a traditional DCP rod. The device improves u
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