Academic literature on the topic 'Area measurement'
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Journal articles on the topic "Area measurement"
Mano, K., K. Sakai, K. Tachibana, K. Sakita, and S. Nishiyama. "THE MEASUREMENT ACCURACY AND MEASUREMENT CHARACTERISTICS OF GREEN LiDAR DRONE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 479–83. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-479-2020.
Full textTaxis, Juergen, Lena Ungerboeck, Mika R. Gehrking, Constantin Motel, Matthias Wurm, Alexander W. Eckert, Gerrit Spanier, et al. "Two-Dimensional Post-Traumatic Measurements of Orbital Floor Blowout Fractures Underestimate Defect Sizes Compared to Three-Dimensional Approaches." Tomography 9, no. 2 (March 5, 2023): 579–88. http://dx.doi.org/10.3390/tomography9020047.
Full textAOKI, Jun, Wei GAO, and Satoshi KIYONO. "High-Speed Measurement of Large Area Micro-Structured Surfaces(Nano/micro measurement and intelligent instrument)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 381–84. http://dx.doi.org/10.1299/jsmelem.2005.2.381.
Full textBobba, Rakesh B., Jeff Dagle, Erich Heine, Himanshu Khurana, William H. Sanders, Peter Sauer, and Tim Yardley. "Enhancing Grid Measurements: Wide Area Measurement Systems, NASPInet, and Security." IEEE Power and Energy Magazine 10, no. 1 (January 2012): 67–73. http://dx.doi.org/10.1109/mpe.2011.943133.
Full textWykoff, William R. "Measuring and modeling surface area of ponderosa pine needles." Canadian Journal of Forest Research 32, no. 1 (January 1, 2002): 1–8. http://dx.doi.org/10.1139/x01-166.
Full textTORIGOE, Ippei, and Yasushi ISHII. "Surface Area Measurement Utilizing Sound." Transactions of the Society of Instrument and Control Engineers 34, no. 3 (1998): 182–87. http://dx.doi.org/10.9746/sicetr1965.34.182.
Full textDarvann, Tron A., Nuno V. Hermann, Bjarne K. Ersbøll, Sven Kreiborg, and Samuel Berkowitz. "Palatal Surface Area of Maxillary Plaster Casts—A Comparison between Two-Dimensional and Three-Dimensional Measurements." Cleft Palate-Craniofacial Journal 44, no. 4 (July 2007): 381–90. http://dx.doi.org/10.1597/05-213.1.
Full textJoseph, Thomas, Barjeev Tyagi, and Vishal Kumar. "Adaptive optimal wide-area controller for multi-area power system using phasor measurement unit measurements." IET Generation, Transmission & Distribution 13, no. 23 (December 3, 2019): 5284–93. http://dx.doi.org/10.1049/iet-gtd.2019.0548.
Full textChandra, Dikky, Sri Yusnita, Dana Bahari Sitepu, Arif Mursydan, and Dwiny Meidelfi. "LTE Network Area Coverage on FDD and TDD Technology." International Journal of Advanced Science Computing and Engineering 2, no. 1 (April 30, 2020): 21–33. http://dx.doi.org/10.30630/ijasce.2.1.47.
Full textChandra, Dikky, Sri Yusnita, Dana Bahari Sitepu, Arif Mursydan, and Dwiny Meidelfi. "LTE Network Area Coverage on FDD and TDD Technology." International Journal of Advanced Science Computing and Engineering 2, no. 1 (April 30, 2020): 21–33. http://dx.doi.org/10.62527/ijasce.2.1.47.
Full textDissertations / Theses on the topic "Area measurement"
McPhail, Diane. "Area : the big cover-up." Thesis, View thesis, 2007. http://handle.uws.edu.au:8081/1959.7/27435.
Full textMcPhail, Diane. "Area the big cover-up /." View thesis, 2007. http://handle.uws.edu.au:8081/1959.7/27435.
Full text"A thesis submitted to the University of Western Sydney, College of Arts, School of Education in fulfilment of the requirements for the degree of Doctor of Philosophy." Includes bibliography.
Freeman, Matthew A. "Multi-area power system state estimation utilizing boundary measurements and phasor measurement units ( PMUs)." Thesis, Texas A&M University, 2006. http://hdl.handle.net/1969.1/4178.
Full textJones, Paul. "Electrical measurement of large area substation earth grids." Thesis, Swansea University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367883.
Full textHuang, Jiarui M. Eng Massachusetts Institute of Technology. "Automatic 3D surface area measurement for vitiligo lesions." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113733.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 62-64).
Vitiligo is a long term skin depigmentation disease that may result in psychological stress. Monitoring changes in vitiligo lesion area allows assessment of treatment efficacy and aids in clinical decision making. Currently existing approaches for vitiligo lesion measurement are either inefficient or inaccurate. Using a RGB-D camera (Kinect) and imaging processing techniques, we develop an automated skin lesion screening system (VLAMS) that can be widely adopted in clinics. VLAMS is tested using clinical medical data. Results show VLAMS can consistently segment target lesion region and accurately measure lesion area of any skin surface.
by Jiarui Huang.
M. Eng.
Lehmann, Timothy H. "Teaching area measurement and subgoals through problem solving." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/117668/1/Timothy_Lehmann_Thesis.pdf.
Full textHurtgen, Michaël. "Wide-area state estimation using synchronized phasor measurement units." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209924.
Full textThe classical state estimator currently used is based on SCADA (Supervisory Control and Data Acquisition) measurements. Weaknesses of the SCADA measurement system are the asynchronicity of the measurements, which introduce errors in the state estimation results during dynamic events on the electrical network.\\
Wide-area monitoring systems, consisting of a network of Phasor Measurement Units (PMU) provide synchronized phasor measurements, which give an accurate snapshot of the monitored part of the network at a given time. The objective of this thesis is to integrate PMU measurements in the state estimator. The proposed state estimators use PMU measurements exclusively, or both classical and PMU measurements.\\
State estimation is particularly useful to filter out measurement noise, detect and eliminate bad data. A sensitivity analysis to measurement errors is carried out for a state estimator using only PMU measurements and a classical state estimator. Measurement errors considered are Gaussian noise, systematic errors and asynchronicity errors. Constraints such as zero injection buses are also integrated in the state estimator. Bad data detection and elimination can be done before the state estimation, as in pre-estimation methods, or after, as in post-estimation methods. For pre-estimation methods, consistency tests are used. Another proposed method is validation of classical measurements by PMU measurements. Post-estimation is applied to a measurement set which has asynchronicity errors. Detection of a systematic error on one measurement in the presence of Gaussian noise is also analysed. \\
The state estimation problem can only be solved if the measurements are well distributed over the network and make the network observable. Observability is crucial when trying to solve the state estimation problem. A PMU placement method based on metaheuristics is proposed and compared to an integer programming method. The PMU placement depends on the chosen objective. A given PMU placement can provide full observability or redundancy. The PMU configuration can also take into account the zero injection nodes which further reduce the number of PMUs needed to observe the network. Finally, a method is proposed to determine the order of the PMU placement to gradually extend the observable island. \\
State estimation errors can be caused by erroneous line parameter or bad calibration of the measurement transformers. The problem in both cases is to filter out the measurement noise when estimating the line parameters or calibration coefficients and state variables. The proposed method uses many measurement samples which are all integrated in an augmented state estimator which estimates the voltage phasors and the additional parameters or calibration coefficients.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished
Liu, Di. "Integral Measurement of Atmospheric Particulate Matter (PM)." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5573.
Full textAntoine, Olivier. "Wide area measurement-based approach for assessing the power flow influence on inter-area oscillations." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209368.
Full textcentralized and the electricity had to be transmitted to the loads from the closest power
plant. Nowadays, there is an increasing integration of decentralized and intermittent pro-
duction. Moreover, the energy market coupling has enabled the transfer of electric power
for economical purposes. Also, former isolated power systems are now interconnected for
reliability and financial reasons.
All of these changes make difficult to predict the future behavior of the grid. Studies
are done in order to plan for the future needs of the system. However, building new in-
frastructures takes time and it is expected that these needs will not be completely fulfilled
in all the parts of the grid. Therefore, transmission of active power could be limited by
the existing infrastructure. For example, the presence of inter-area oscillations is often
the limiting factor when a high active power is transmitted on a long transmission line
between two groups of generators. Since higher levels of active power are exchanged on
longer distances, problems of inter-area oscillations may arise in power systems previously
not affected by this phenomenon.
In this work, a measurement-based approach, able to predict in the short-term the
future behavior of oscillations, is presented. This approach is complementary to the
long-term planning of the grid.
The mandatory first step towards a measurement-based approach is to have the ability
to extract useful information among a huge quantity of data. To face this issue, some
comparisons of data mining algorithms are performed. The proposed method combines
two decision tree algorithms to obtain both prediction accuracy and comprehensibility.
The second required step for building a measurement-based model is to take into
account the limitations of the measurements. Two types of wide area measurements are
used, synchronized measurements from PMUs and traditional unsynchronized data from
the SCADA/EMS system. Oscillation monitoring using PMUs is especially of interest
and an approach is presented to post-process damping estimates. This post-processing
method consists in a noise reduction technique followed by a damping change detection
algorithm.
Finally, the method, combining these two steps, is implemented to analyze the Con-
tinental European grid. This implementation takes place in the context of the European
project Twenties. The results, using several months of measurements, are described in
detail before being discussed.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished
McKean, Greg. "An investigation into year seven students' knowledge and understanding of area." Thesis, Queensland University of Technology, 1989. https://eprints.qut.edu.au/36697/1/36697_McKean_1989.pdf.
Full textBooks on the topic "Area measurement"
Woodford, Chris. Area. New York: Gareth Stevens Pub., 2013.
Find full textWoodford, Chris. Area. San Diego, Calif: Blackbirch Press, 2005.
Find full textSt. Johns River Water Management District (Fla.). Final report: Surface electrical resistivity measurements of the upper Floridan aquifer in the Titusville area. Palatka, Fla: St. Johns River Water Management District, 1999.
Find full textSomervill, Barbara A. Distance, area, and volume. Chicago, Ill: Heinemann Library, 2010.
Find full textSomervill, Barbara A. Distance, area, and volume. Chicago, Ill: Heinemann Library, 2011.
Find full textBen, Hollingum, ed. Maps and measurement. New York: Gareth Stevens Pub., 2010.
Find full textCarter, Rik. Exploring measurement: Length, area, volume, mass, time. Rowley, MA: Didax Educational Resources, 1996.
Find full textHansen, Mark H. Forest area in Indiana, 1986. [St. Paul, Minn.?]: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1987.
Find full textHamazoe, Takeshi. Chūgoku kodai yōshaku no hensen to densei. Tōkyō: Nihon Risāchi Sentā Shuppanbu, 1995.
Find full textH, Clements Douglas, and Bright George W, eds. Learning and teaching measurement. Reston, VA: National Council of Teachers of Mathematics, 2003.
Find full textBook chapters on the topic "Area measurement"
Lowell, S., and Joan E. Shields. "Density measurement." In Powder Surface Area and Porosity, 227–34. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7955-1_22.
Full textSultan, Alan, and Alice F. Artzt. "Measurement: Area and Volume." In The Mathematics that Every Secondary School Math Teacher Needs to Know, 121–73. Second edition. | New York : Routledge, 2017. | Series: Studies in mathematical thinking and learning: Routledge, 2017. http://dx.doi.org/10.4324/9781315391908-4.
Full textAllen, Terence. "Other methods for determining surface area." In Particle Size Measurement, 597–623. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0417-0_17.
Full textTreese, Steven A. "Historical Area." In History and Measurement of the Base and Derived Units, 301–90. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77577-7_5.
Full textChakraborty, Akshoy Kumar. "Density and Surface Area Measurement." In Phase Transformation of Kaolinite Clay, 103–7. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1154-9_10.
Full textChan, Caroline T. W. "Length, area and volume measurement." In Estimating and Measurement for Simple Building Works in Hong Kong, 104–13. Second edition. | Abingdon, Oxon; New York, NY : Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.1201/9781003017837-10.
Full textMaheswari, M., N. Suthanthira Vanitha, and N. Loganathan. "Wide-Area Measurement Systems and Phasor Measurement Units." In Power Systems, 105–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54275-7_4.
Full textLowell, S., Joan E. Shields, Martin A. Thomas, and Matthias Thommes. "Density Measurement." In Characterization of Porous Solids and Powders: Surface Area, Pore Size and Density, 326–38. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2303-3_19.
Full textGavrikov, Vladimir L. "Stem Surface Area: Measurement and Development." In Stem Surface Area in Modeling of Forest Stands, 15–30. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52449-8_2.
Full textHani, Ahmad Fadzil M., Esa Prakasa, Hermawan Nugroho, Azura Mohd Affandi, and Suraiya H. Hussein. "Body Surface Area Measurement and Soft Clustering for PASI Area Assessment." In IFMBE Proceedings, 1056–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_277.
Full textConference papers on the topic "Area measurement"
Hošek, Jan. "Small area curvature measurement." In SPIE Proceedings, edited by Miroslav Miler, Dagmar Senderáková, and Miroslav Hrabovský. SPIE, 2007. http://dx.doi.org/10.1117/12.739666.
Full textGoldberg, Sharon. "Session details: Network measurement I -- wide-area measurement." In SIGCOMM '11: ACM SIGCOMM 2011 Conference. New York, NY, USA: ACM, 2011. http://dx.doi.org/10.1145/3256191.
Full textKorotkin, Dmitry, and Artem Kuznetcov. "Inertial Measurement System for Human Gait Analysis." In 8th International Conference on Body Area Networks. ACM, 2013. http://dx.doi.org/10.4108/icst.bodynets.2013.253714.
Full textTorres, Javier, Brendan O’Flynn, Philip Angove, Frank Murphy, and Cian O’ Mathuna. "Motion tracking algorithms for inertial measurement." In 2nd International ICST Conference on Body Area Networks. ICST, 2007. http://dx.doi.org/10.4108/bodynets.2007.170.
Full textChuang, Chin-Tun, Cheng-Pei Tsai, Ming-Chih Lu, Wei-Yen Wang, and Yi-Hsing Chien. "An image-based area measurement system." In 2011 International Conference on System Science and Engineering (ICSSE). IEEE, 2011. http://dx.doi.org/10.1109/icsse.2011.5961982.
Full textZhang, Xiangchao, Yurong Ren, Yunuo Chen, and Shaoliang Li. "Large-area Measurement with Stereo Deflectometry." In Optical Fabrication and Testing. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/oft.2021.oth1b.6.
Full textBabnik, T., U. Gabrijel, B. Mahkovec, M. Perko, and G. Sitar. "Wide Area Measurement System in Action." In 2007 IEEE Power Tech. IEEE, 2007. http://dx.doi.org/10.1109/pct.2007.4538562.
Full textPoppe, A., B. Schrenk, F. Hipp, M. Peev, S. Aleksic, G. Franzl, A. Ciurana, and V. Martin. "Integration of Quantum Key Distribution in Metropolitan Area Networks." In Quantum Information and Measurement. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/qim.2014.qw4a.6.
Full textAmanatiadis, A., I. Andreadis, and K. Konstantinidis. "Fuzzy Area-Based Image Scaling." In 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007. IEEE, 2007. http://dx.doi.org/10.1109/imtc.2007.379084.
Full textHani, A. F. M., E. Prakasa, H. Nugroho, A. M. Affandi, and S. H. Hussein. "Body surface area measurement and soft clustering for PASI area assessment." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346941.
Full textReports on the topic "Area measurement"
Tan, M. J., and M. Ishii. Interfacial area measurement methods. Office of Scientific and Technical Information (OSTI), February 1989. http://dx.doi.org/10.2172/6144035.
Full textWendelberger, James, and Elizabeth Kelly. Wide Area Measurement System (WAMS) Automatic Depth Feature Analysis. Office of Scientific and Technical Information (OSTI), February 2024. http://dx.doi.org/10.2172/2310304.
Full textEklund, B. Measurement of emission fluxes from Technical Area 54, Area G and L. Final report. Office of Scientific and Technical Information (OSTI), March 1995. http://dx.doi.org/10.2172/266872.
Full textAnderson, E. Measurement of air quality within storage domes in technical area 54, areas G and L. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/272559.
Full textWendelberger, James, Elizabeth Kelly, and Kimberly Kaufeld. Automatic Potential Crack Identification from Wide Area Measurement System (WAMS) Data. Office of Scientific and Technical Information (OSTI), February 2021. http://dx.doi.org/10.2172/1764869.
Full textMorris, William, Kenneth Vierra, Michael Mastroianni, and John Wilson. Surf and Coastal Area Measurement Platform (SCAMP) USACE Demonstration Survey Final Report. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada434992.
Full textWendelberger, James. Subsurface Height Information of Wide Area Measurement System (WAMS) Data for Various 3013 Containers and Sample Areas. Office of Scientific and Technical Information (OSTI), April 2023. http://dx.doi.org/10.2172/1969217.
Full textFriedman, H. A., and A. D. Kelmers. Laboratory measurement of radionuclide sorption in solid waste storage Area 6 soil/groundwater systems. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/7119216.
Full textTrujillo, V., M. Morgenstern, D. Krier, and R. Gilkeson. Measurement of surface emission flux rates for volatile organic compounds at Technical Area 54. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/661528.
Full textMARTINEZ-RODRIGUEZ, MICHAEL. WIDE AREA 3D MEASUREMENT SYSTEM FOR ANALYSIS OF 3013 INNER CONTAINER CLOSURE WELD REGION. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1673315.
Full text