Academic literature on the topic 'Range measurement'

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Journal articles on the topic "Range measurement"

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Vasilevskyi, Oleksandr. "Methodology for assessing the accuracy of a measuring instrument for the ion concentration using its measurement model." Acta IMEKO 14, no. 1 (2025): 1–10. https://doi.org/10.21014/actaimeko.v14i1.1938.

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To analyze the metrological characteristics of measuring instruments, it was proposed to expand the conversion equation into a Taylor series. The components of this series yield equations that describe the instrument’s sensitivity as well as its additive and multiplicative errors. Additionally, a mathematical model is introduced, allowing the conversion of these additive and multiplicative errors into measurement uncertainty. The proposed models were tested using a measurement model for ion concentration based on ion-selective electrodes. The measurement accuracy assessment methodology demonstrated that the expanded uncertainty of ion concentration measurements ranges from ± 0.101 pX to ± 0.204 pX, depending on the measurement range. Measurements performed at the beginning of the measurement range exhibit lower values of expanded uncertainty, while measurements conducted at the upper measurement range show slightly higher values of expanded uncertainty.
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Bertioli, Michael. "Intermediate Range Pressure Measurement." Measurement and Control 20, no. 8 (1987): 33–36. http://dx.doi.org/10.1177/002029408702000806.

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Lis, Steven A. "Precision passive range measurement." Journal of the Optical Society of America A 24, no. 4 (2007): 993. http://dx.doi.org/10.1364/josaa.24.000993.

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Suh, Myoung-Gyun, and Kerry J. Vahala. "Soliton microcomb range measurement." Science 359, no. 6378 (2018): 884–87. http://dx.doi.org/10.1126/science.aao1968.

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Wing, Michael G., Derek Solmie, and Loren Kellogg. "Comparing Digital Range Finders for Forestry Applications." Journal of Forestry 102, no. 4 (2004): 16–20. http://dx.doi.org/10.1093/jof/102.4.16.

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Abstract Digital measurement tools for forestry applications are now becoming affordable for many organizations. One example is a digital range finder that, depending on the instrument, can almost instantly record distance, height, and angular measurements of objects within sight of an observer. Digital range finders have tremendous advantages over traditional manual measurement techniques, but prospective users should understand an instrument's capabilities in order to realize its full potential. We compare the accuracy and reliability of five commercially available digital range finders in taking measurements of a distance course, traverse boundaries, and tree heights. Because we found some significant differences in the capabilities of the instruments we tested, potential users should identify their measurement and accuracy requirements prior to choosing a digital range finder.
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KOMIYAMA, Takuya, Hiroshi SAWANO, Hayato YOSHIOKA, and Hidenori SHINNO. "B005 A Long-Range Straightness Measurement with Motion Error Compensation." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2013.7 (2013): 173–76. http://dx.doi.org/10.1299/jsmelem.2013.7.173.

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Walker, J. G., S. F. Seward, J. G. Rarity, and P. R. Tapster. "Range measurement photon by photon." Quantum Optics: Journal of the European Optical Society Part B 1, no. 1 (1989): 75–82. http://dx.doi.org/10.1088/0954-8998/1/1/008.

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Xu, Shi, David W. Capson, and Terry M. Caelli. "Range measurement from defocus gradient." Machine Vision and Applications 8, no. 3 (1995): 179–86. http://dx.doi.org/10.1007/bf01215813.

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Kruisselbrink, Thijs, Myriam Aries, and Alexander Rosemann. "A Practical Device for Measuring the Luminance Distribution." International Journal of Sustainable Lighting 19, no. 1 (2017): 75–90. http://dx.doi.org/10.26607/ijsl.v19i1.76.

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Various applications in building lighting such as automated daylight systems, dynamic lighting control systems, lighting simulations, and glare analyzes can be optimized using information on the actual luminance distributions of the surroundings. Currently, commercially available luminance distribution measurement devices are often not suitable for these kind of applications or simply too expensive for broad application. This paper describes the development of a practical and autonomous luminance distribution measurement device based on a credit card-sized single-board computer and a camera system. The luminance distribution was determined by capturing High Dynamic Range images and translating the RGB information to the CIE XYZ color space. The High Dynamic Range technology was essential to accurately capture the data needed to calculate the luminance distribution because it allows to capture luminance ranges occurring in real scenarios. The measurement results were represented in accordance with established methods in the field of daylighting. Measurements showed that the accuracy of the luminance distribution measurement device ranged from 5% to 20% (worst case) which was deemed acceptable for practical measurements and broad applications in the building realm.
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Hu, Chang’an, Fei Lv, Liang Xue, Jiangang Li, Xiaoyin Zhong, and Yue Xu. "Full-Range Static Method of Calibration for Laser Tracker." Electronics 12, no. 22 (2023): 4709. http://dx.doi.org/10.3390/electronics12224709.

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This paper focuses on the challenge of the inability to accurately calibrate the static measurement of a laser tracker across the full scale. To address this issue, this paper proposes to add a hollow corner cube prism on a 50 m high-precision composite guide rail to achieve a double-range measurement of the laser tracker. Data analysis indicated that, in the 77 m identical-directional double-range measurement experiment, the maximum indication error of a single-beam laser interferometer was −29.5 μm, and that of a triple-beam laser interferometer was 14.6 μm, and the measurement indication error was obviously small when the Abbe error was eliminated. The single-point repeatability of the tracker was 0.9 μm. In the 50 m identical-directional verification experiment, the results of the direct measurement outperformed those of the double-range measurement, and the indication errors under standard conditions were −4.0 μm and −8.9 μm, respectively. Overall, the method used in the experiment satisfies the requirements of the laser tracker. In terms of the identical-directional measurement, the measurement uncertainty of the tracker indication error is U ≈ 1.0 μm + 0.2L (k = 2) L = (0~77 m). The proposed method also provides insights for length measurements using other high-precision measuring instruments.
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Dissertations / Theses on the topic "Range measurement"

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Luten, Robert H., and Vernon Diekmann. "ADVANCED RANGE TELEMETRY DYNAMIC MEASUREMENT LISTS." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/608747.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>A typical telemetry system for aircraft flight-testing transmits one or several data streams to the ground for real-time display and analysis, and also records the same stream onboard for later playback. During test operations, only a fraction of the available data is used at any given time for real-time display or analysis. More efficient use of the RF channel could be realized if only the data needed for the current test point is transmitted, rather than the entirety of the data. Intelligent selection of a subset of the data stream can provide large reductions in the required telemetry downlink bandwidth. As one of the Advanced Range Telemetry (ARTM) On-Board Data Management (OBDM) initiatives, a prototype on-board data selection subsystem is being developed and demonstrated. The demonstration utilizes COTS telemetry workstations to the maximum extent possible and includes “plug-in” data requestor, selection, and server components to implement the added DML functionality. A significant objective of the OBDM/DML project will be to validate RF channel models to help minimize the amount of flight-testing necessary to validate the DML concept. This paper will discuss the OBDM/DML architecture, integration of several custom components with the COTS portions of the ARTM “test bench”, and the current status of the OBDM/DML development and test program.
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Maytorena, Sanchez Briseida Deyanira. "An optoelectronic sensor for direct range measurement." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326041.

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Ai, Xiao. "Active based range measurement systems and applications." Thesis, University of Bristol, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.659107.

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In recent years, many instruments have been developed to capture distance and reflectance information. They have been incorporated into various applications, with two of these applications forming the focus of this work: (1) range cameras for obstacle detection and (2) integrated-path differential-absorption (IPDA) light detection and ranging (LIDAR) systems for space-borne remote sensing applications. Conventional range cameras are based either on triangulation or time-of-flight distance measurement principles. The former is constrained to indoor applications and the latter suffers from distance ambiguity. For space-borne IPDA LIDAR systems, the conventional pulsed approach takes two time-multiplexed measurements with laser pulses of different wavelengths, which results in measurement errors, due to the distance misalignment between the successive beams. The aforementioned problems have been solved in this work either by signal processing techniques or by deriving more suitable modulation schemes. In the first part of this thesis, the ToF camera captured range image has been enhanced by applying two modulation frequencies and Markov random field (MRF) modelling. This extends the non-ambiguous range and at the same time reduces noise. After which, the range images are then utilised in a novel obstacle detection system, which is described. In the second part of this thesis, a novel range imaging technique based on the random-modulation continuous wave (RMCW) scheme has been proposed. This technique extends the non-ambiguous distance and allows multi-user operation without the need for a software pre-processing procedure. In the last chapter of this thesis, the RMCW scheme has been extended to be applied in satellite remote sensing applications. This enables the use of continuous wave (CW) laser sources. Not only do CW sources offer a greater power efficiency, but this set-up also removes the beam misalignment problem. Together, this work has brought several innovations to the field of range measurement techniques and their applications.
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Shaw, Michael Mason. "Electro-optic range measurement using dynamic fringe projection." Thesis, Liverpool John Moores University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262272.

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Wood, Christopher Martin. "Shape analysis using Young's fringes." Thesis, Liverpool John Moores University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261442.

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Cochran, Eugene Rowland III. "Extending the measurement range of an optical surface profiler." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184531.

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This dissertation investigates a method for extending the measurement range of an optical surface profiling instrument. The instrument examined in these experiments is a computer-controlled phase-modulated interference microscope. Because of its ability to measure surfaces with a high degree of vertical resolution as well as excellent lateral resolution, this instrument is one of the most favorable candidates for determining the microtopography of optical surfaces. However, the data acquired by the instrument are restricted to a finite lateral and vertical range. To overcome this restriction, the feasibility of a new testing technique is explored. By overlapping a series of collinear profiles the limited field of view of this instrument can be increased and profiles that contain longer surface wavelengths can be examined. This dissertation also presents a method to augment both the vertical and horizontal dynamic range of the surface profiler by combining multiple subapertures and two-wavelength techniques. The theory, algorithms, error sources, and limitations encountered when concatenating a number of profiles are presented. In particular, the effects of accumulated piston and tilt errors on a measurement are explored. Some practical considerations for implementation and integration into an existing system are presented. Experimental findings and results of Monte Carlo simulations are also studied to explain the effects of random noise, lateral position errors, and defocus across the CCD array on measurement results. These results indicate the extent to which the field of view of the profiler may be augmented. A review of current methods of measuring surface topography is included, to provide for a more coherent text, along with a summary of pertinent measurement parameters for surface characterization. This work concludes with recommendations for future work that would make subaperture-testing techniques more reliable for measuring the microsurface structure of a material over an extended region.
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McCreesh, Zita M. "Short range, RF telemetry for physiological temperature acquisition." Thesis, University of Ulster, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262271.

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Kofman, Jonathan. "Continuous unconstrained range sensing without sensor-head pose measurement." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0032/NQ68120.pdf.

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Unger, Jonas, Stefan Gustavson, and Anders Ynnerman. "High Dynamic Range Video for Photometric Measurement of Illumination." Linköpings universitet, Visuell informationsteknologi och applikationer, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-40069.

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We describe the design and implementation of a high dynamic range (HDR) imaging system capable of capturing RGB color images with a dynamic range of 10,000,000 : 1 at 25 frames per second. We use a highly programmable camera unit with high throughput A/D conversion, data processing and data output. HDR acquisition is performed by multiple exposures in a continuous rolling shutter progression over the sensor. All the different exposures for one particular row of pixels are acquired head to tail within the frame time, which means that the time disparity between exposures is minimal, the entire frame time can be used for light integration and the longest expo- sure is almost the entire frame time. The system is highly configurable, and trade-offs are possible between dynamic range, precision, number of exposures, image resolution and frame rate.
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Lingerfelt, C. W. "TELEMETRY MEASUREMENT ATTRIBUTES PROCESSING AT THE WESTERN TEST RANGE." International Foundation for Telemetering, 1986. http://hdl.handle.net/10150/615394.

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International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, Nevada<br>The processing of telemetry data received at the Western Test Range (WTR) requires the use of user supplied measurement attributes information. The telemetry streams currently being presented for support are from technologically advanced test vehicles which often involve complex measurement definition schemes. This document describes some of the current definition schemes and the processing required to obtain and utilize the data. The chaotic state of this environment is in no small part due to the lack of standardization of the measurement definition scheme and its media. The trend has been, and will continue to be, a condition of ever increasing complexity and variety unless some standardization is applied.
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Books on the topic "Range measurement"

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B, Greene Walter, Heckman James D, and American Academy of Orthopaedic Surgeons., eds. The clinical measurement of joint motion. American Academy of Orthopaedic Surgeons, 1994.

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Soames, Roger W. Joint motion: Clinical measurement and evaluation. Churchill Livingstone, 2003.

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Soames, Roger W. Joint motion: Clinical measurement and evaluationn. Churchill Livingstone, 2003.

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Repjar, Andrew G. Extrapolation range measurements for determining antenna gain and polarization. U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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G, Watson John, Colorado State University. Office of Vice President for Research and Information Technology., University of Nevada System. Desert Research Institute., Sonoma Technology Inc, and Air Resource Specialists Inc, eds. Northern Front Range air quality study final report. Colorado State University, Office of the Vice President for Research and Information Technology, 1998.

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A, Bodhaine Barry, and Climate Monitoring and Diagnostics Laboratory (U.S.), eds. The Second front range lidar, aircraft, and balloon experiment. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Climate Monitoring and Diagnostics Laboratory, 1991.

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Gerhardt, John J. Documentation of joint motion: International standard neutral-zero-measuring S.F.T.R. recording and application of the plurimeter. OMEDIC, 1988.

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Gerhardt, John J. Documentation of joint motion: International standard neutral-zero-measuring, S.F.T.R recording and application of goniometers, inclinometers, and calipers. 3rd ed. ISOMED, 1992.

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Ryf, Christian. Range of motion: AO Neutral-0 Method : measurement and documentation = AO Neutral-0 Methode : messung und dokumentation. Thieme, 1999.

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F, Blais, National Research Council Canada, and National Research Council Canada. Institute for Information Technology., eds. Application of the BIRIS range sensor for wood volume measurement. National Research Council Canada, 1992.

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Book chapters on the topic "Range measurement"

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Weik, Martin H. "measurement range." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11258.

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Kleine, Andreas, and Dennis Sebastian. "Generalized DEA-Range Adjusted Measurement." In Operations Research Proceedings 2004. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27679-3_48.

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Kunita, M., T. Miki, and I. Arai. "Range Measurement Using Ultrasound FMCW Wave." In Acoustical Imaging. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8823-0_42.

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Sizun, Hervé, and Maher Al Naboulsi. "Meteorological Visibility Measurement: Meteorological Optical Range." In Measurements using Optic and RF Waves. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118586228.ch3.

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Anthonys, Gehan. "Measurement Error in Range Imaging Systems." In Timing Jitter in Time-of-Flight Range Imaging Cameras. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-94159-8_3.

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Gonzalez Rodriguez, Erick. "Reconfigurable Transceiver Architecture with Wide Tuning Range." In Smart Sensors, Measurement and Instrumentation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24581-2_3.

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Anthonys, Gehan. "Jitter and Measurement of Jitter." In Timing Jitter in Time-of-Flight Range Imaging Cameras. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-94159-8_4.

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Anthonys, Gehan. "Proposed Methodology for Jitter Measurement." In Timing Jitter in Time-of-Flight Range Imaging Cameras. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-94159-8_5.

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Zhang, Shilei. "Measurement of the Magnetic Long-Range Order." In Chiral and Topological Nature of Magnetic Skyrmions. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98252-6_2.

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Piccolo, M. "B Meson Lifetime Measurement." In Heavy Flavours and High-Energy Collisions in the 1–100 TeV Range. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-9981-0_4.

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Conference papers on the topic "Range measurement"

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Banda, F. A. S., and J. P. Muller. "Cornea shape measurement." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294335.

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Jeschke, Wolfgang. "Digital close-range photogrammetry for surface measurement." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294378.

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Hashimoto, Toshiaki, and Shunji Murai. "Traffic flow measurement by video image processing." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294346.

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Schneider, Carl-Thomas. "Concept of an optical coordinate measurement machine." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294348.

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Rudenauer, H. "Geological structure measurement in a CAD environment." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294388.

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West, G. A. W., and T. A. Clarke. "A survey and examination of subpixel measurement techniques." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294301.

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Martinenq, Jean-Pascal. "Inertial Measurement Unit for Trajectography." In 2021 2nd International Conference on Range Technology (ICORT). IEEE, 2021. http://dx.doi.org/10.1109/icort52730.2021.9581522.

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Alam Eldin, A. "A machine vision system for measurement of biological shapes." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294351.

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Riechmann, Wolfgang. "The Reseau-scanning camera: conception and first measurement results." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294385.

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Ailneni, Sanketh, Sudesh K. Kashyap, N. Shantha Kumar, et al. "Characterization of MEMS based Inertial Measurement Unit." In 2019 International Conference on Range Technology (ICORT). IEEE, 2019. http://dx.doi.org/10.1109/icort46471.2019.9069669.

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Reports on the topic "Range measurement"

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George and Hawley. PR-015-09605-R01 Extended Low Flow Range Metering. Pipeline Research Council International, Inc. (PRCI), 2010. http://dx.doi.org/10.55274/r0010728.

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Natural gas meters are often used to measure flows below their minimum design flow rate. This can occur because of inaccurate flow projections, widely varying flow rates in the line, a lack of personnel available to change orifice plates, and other causes. The use of meters outside their design ranges can result in significant measurement errors. The objectives of this project were to examine parameters that contribute to measurement error at flow rates below 10% of a meters capacity, determine the expected range of error at these flow rates, and establish methods to reduce measurement error in this range. The project began with a literature search of prior studies of orifice, turbine, and ultrasonic meters for background information on their performance in low flows. Two conditions affecting multiple meter types were identified for study. First, temperature measurement errors in low flows can influence the accuracy of all three meter types, though the effect of a given temperature error can differ among the meter types. Second, thermally stratified flows at low flow rates are known to cause measurement errors in ultrasonic meters that cannot compensate for the resulting flow profiles, and the literature suggested that these flows could also affect orifice plates and turbine meters. Several possible ways to improve temperature measurements in low flows were also identified for further study. Next, an analytical study focused on potential errors due to inaccurate temperature measurements. Numerical tools were used to model a pipeline with different thermowell and RTD geometries. The goals were to estimate temperature measurement errors under different low-flow conditions, and to identify approaches to minimize temperature and flow rate errors. Thermal conduction from the pipe wall to the thermowell caused the largest predicted bias in measured temperature, while stratified temperatures in the flow caused relatively little temperature bias. Thermally isolating the thermowell from the pipe wall, or using a bare RTD, can minimize temperature bias, but are not usually practical approaches. Insulation of the meter run and the use of a finned thermowell design were practical methods predicted to potentially improve measurement accuracy, and were chosen for testing.
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Wetherington, Joshua M., and Gregory J. Mazzaro. High Dynamic Range Nonlinear Measurement using Analog Cancellation. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada574839.

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Fluckiger, David U. N-Pulse Logic Peak Detection for Laser Radar Range Measurement of Distributed Range Targets. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada199975.

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Sorensen, K. W. Folded Compact Range Development and Coherent Change Detection Measurement Project. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/45560.

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CIE. CIE 250:2022 Spectroradiometric Measurement of Optical Radiation Sources. International Commission on Illumination, 2022. http://dx.doi.org/10.25039/tr.250.2022.

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This Technical Report provides basic measurement principles and practical guidance on spectroradiometry of optical radiation sources in the ultraviolet, visible and near-infrared regions of the electromagnetic spectrum in the wavelength range from 200 nm to 2 500 nm. The document primarily deals with spectral measurements of irradiance, radiance, radiant intensity, radiant flux and derivative quantities. The document provides a detailed overview of relevant terminology and basic measurement principles, including those for instrument calibration. It provides practical guidance for identifying, understanding and quantifying relevant measurement uncertainty components. This document replaces CIE 063-1984. Additional details on measurement principles not covered in this document can be found in CIE 214:2014. The document is written in English, with a short summary in French and German. It consists of 94 pages with 41 figures and 3 tables and is readily available from the CIE Webshop or from the National Committees of the CIE.
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Daly, Michael, and Ani Siripuram. Near Field HF Antenna Pattern Measurement Method Using an Antenna Pattern Range. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1003184.

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Kramer, A. G. Measurement and Proper Equalization of Range Sidelobes Using a Spherical Satellite as a Reflector. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada285955.

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Fischer W., R. Alforque, H. C. Hseuh, et al. Measurement of the long-range beam-beam effect at injection, and design for a compensator in RHIC. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/1061827.

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Richards, R., and J. LaBrecque. PR-50-94-R01 Development and Evaluation of an LNG Sampling Measurement System. Pipeline Research Council International, Inc. (PRCI), 1995. http://dx.doi.org/10.55274/r0011432.

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This report describes a LNG sampling project that continued the work previously reported by Parrish et al. The current work extended Parrish's work by expanding the range of some test parameters and by testing different vaporizer designs.
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Blevins, Matthew, Gregory Lyons, Carl Hart, and Michael White. Optical and acoustical measurement of ballistic noise signatures. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39501.

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Supersonic projectiles in air generate acoustical signatures that are fundamentally related to the projectile’s shape, size, and velocity. These characteristics influence various mechanisms involved in the generation, propagation, decay, and coalescence of acoustic waves. To understand the relationships between projectile shape, size, velocity, and the physical mechanisms involved, an experimental effort captured the acoustic field produced by a range of supersonic projectiles using both conventional pressure sensors and a schlieren imaging system. The results of this ongoing project will elucidate those fundamental mechanisms, enabling more sophisticated tools for detection, classification, localization, and tracking. This paper details the experimental setup, data collection, and preliminary analysis of a series of ballistic projectiles, both idealized and currently in use by the U.S. Military.
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