Relevant bibliographies by topics / Machine calibration

Contents

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

Academic literature on the topic 'Machine calibration'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Machine calibration"

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Mamajanov, B., S. Abdurahmonov, and A. Shukuraliev. "Cotton seeds sorting with the help of dielectric calibration and sorting machines." Bulletin of Science and Practice 4, no. 3 (2018): 83–86. https://doi.org/10.5281/zenodo.1198030.

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In the article, it is planned to study the influence of the process of cottonseed separation on dielectric calibrating–sorting machines on their sowing properties. The main technological experiments were aimed at studying the effect of the operating voltage of a dielectric calibration and sorting machine on the quality of cottonseed separation and on determining the place of use of a dielectric calibration and sorting machine in cotton plant technological lines. For this, a comparative analysis of the technological circuits was carried out. The authors concluded that dielectric calibrati
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Haitjema. "Calibration of Displacement Laser Interferometer Systems for Industrial Metrology." Sensors 19, no. 19 (2019): 4100. http://dx.doi.org/10.3390/s19194100.

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Displacement laser interferometer systems are widely used for the calibration of machine tools and CMMs (Coordinate Measuring Machines). Additionally, they are often the workhorse in dimensional calibration laboratories, where they act as the basic metrological traceability link for many calibrations. This paper gives a review of the calibration of such systems, where several approaches, such as the calibrations of separate components or the system as a whole, are reviewed. The calibrations discussed are: the laser frequency, the counting system, software evaluation of the environmental condit
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Zhuang, Hanqi, Lixin Liu, and Oren Masory. "Autonomous Calibration of Hexapod Machine Tools1." Journal of Manufacturing Science and Engineering 122, no. 1 (1997): 140–48. http://dx.doi.org/10.1115/1.538893.

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Hexapod machines are emerging as a new type of CNC machine tools. Among other things, stringent calibration is an important means to improve their accuracy. Traditionally, to perform system calibration, one needs to measure a number of machine poses using an external measuring device. However, this process is often labor-intensive and invasive, and difficult for on-line calibration. In this paper, a systematic way of self-calibrating a hexapod machine tool is introduced. By adding a small number of redundant internal sensors, errors of the hexapod machine tool can be measured. This approach ha
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Zhang, Siyuan, та Linbo Xie. "Parametric ρ-Norm Scaling Calibration". Proceedings of the AAAI Conference on Artificial Intelligence 39, № 21 (2025): 22551–59. https://doi.org/10.1609/aaai.v39i21.34413.

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Output uncertainty indicates whether the probabilistic properties of the overall distribution reflect objective characteristics of the model output. Unlike most loss functions and metrics in machine learning, uncertainty pertains to individual samples, but validating it on individual samples is unfeasible. When validated collectively, it cannot fully represent individual sample properties, posing a challenge in assessing and calibrating model confidence in a limited data set. Hence, it is crucial to consider confidence calibration characteristics. To counter the adverse effects of the gradual
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Kajima, Mariko, Tsukasa Watanabe, Makoto Abe, and Toshiyuki Takatsuji. "Calibrator for 2D Grid Plate Using Imaging Coordinate Measuring Machine with Laser Interferometers." International Journal of Automation Technology 9, no. 5 (2015): 541–45. http://dx.doi.org/10.20965/ijat.2015.p0541.

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A calibrator for 2D grid plates have been developed. The calibrator was based on a commercial imaging coordinate measuring machine (imaging CMM). A laser interferometer for the calibration of the x-coordinate and two laser interferometers for the calibration of the y-coordinate were attached to the imaging CMM. By applying multistep measurement method for the calibration procedure, the geometrical error in the calibrator was reduced. The calibration of a precision 2D grid plate was demonstrated, and the expanded uncertainty was estimated to be 0.2 μm (k =2).
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KUMAR, HARISH. "A CONTEMPORARY APPROACH FOR EVALUATION OF THE BEST MEASUREMENT CAPABILITY OF A FORCE CALIBRATION MACHINE." International Journal of Modern Physics: Conference Series 24 (January 2013): 1360013. http://dx.doi.org/10.1142/s2010194513600136.

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The present paper discusses the procedure for evaluation of best measurement capability of a force calibration machine. The best measurement capability of force calibration machine is evaluated by a comparison through the precision force transfer standards to the force standard machines. The force transfer standards are calibrated by the force standard machine and then by the force calibration machine by adopting the similar procedure. The results are reported and discussed in the paper and suitable discussion has been made for force calibration machine of 200 kN capacity. Different force tran
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Hampel, David, Kateřina Jůzová, and Martina Matulíková. "Credit rating calibration." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 2 (2012): 79–84. http://dx.doi.org/10.11118/actaun201260020079.

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In this paper we deal with determination of chosen characteristics of vending business in the Czech Republic. Vending seems to be dynamically developing sector of economics. A strong competition is present in this market. This can be a reason that new ideas of improvement appear continuously. Primary data are used to characterize vending business from the perspective of consumer as well as vending operator. The data are used as input to statistical tests; results are summarized and presented in economic terms. At first, survey (about 600 respondents) is analyzed in empirical way. It is informa
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Pak, Alexey, Steffen Reichel, and Jan Burke. "Machine-Learning-Inspired Workflow for Camera Calibration." Sensors 22, no. 18 (2022): 6804. http://dx.doi.org/10.3390/s22186804.

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The performance of modern digital cameras approaches physical limits and enables high-precision measurements in optical metrology and in computer vision. All camera-assisted geometrical measurements are fundamentally limited by the quality of camera calibration. Unfortunately, this procedure is often effectively considered a nuisance: calibration data are collected in a non-systematic way and lack quality specifications; imaging models are selected in an ad hoc fashion without proper justification; and calibration results are evaluated, interpreted, and reported inconsistently. We outline an (
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Huang, Feng Shan, and Li Chen. "CCD Camera Calibration Technology Based on the Translation of Coordinate Measuring Machine." Applied Mechanics and Materials 568-570 (June 2014): 320–25. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.320.

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A new CCD camera calibration method based on the translation of Coordinate Measuring Machine (CMM) is proposed. The CMM brings the CCD camera to produce the relative translation with respect to the center of the white ceramic standard sphere along the X, Y, Z axis, and the coordinates of the different positions of the calibration characteristic point in the probe coordinate system can be generated. Meanwhile, the camera captures the image of the white ceramic standard sphere at every position, and the coordinates of the calibration characteristic point in the computer frame coordinate system c
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Soylu, Ufuk, and Michael L. Oelze. "Machine-to-machine transfer function: Transferring deep learning models between ultrasound machines." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A350. http://dx.doi.org/10.1121/10.0019120.

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In our previous work, we proposed a calibration method for deep learning (DL) to mitigate the effects of acquisition-related data mismatches in the context of tissue characterization. We showed that the “setting” transfer function can transfer deep learning models between imaging settings. We now extend the calibration method to transfer deep learning models between ultrasound machines. This can lead to reduced cost of model development and also improved understanding of the issues related to the security of deep learning based algorithms in biomedical ultrasound imaging. We gathered four data
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Dissertations / Theses on the topic "Machine calibration"

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Haussamer, Nicolai Haussamer. "Model Calibration with Machine Learning." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29451.

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This dissertation focuses on the application of neural networks to financial model calibration. It provides an introduction to the mathematics of basic neural networks and training algorithms. Two simplified experiments based on the Black-Scholes and constant elasticity of variance models are used to demonstrate the potential usefulness of neural networks in calibration. In addition, the main experiment features the calibration of the Heston model using model-generated data. In the experiment, we show that the calibrated model parameters reprice a set of options to a mean relative implied vola
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Stark, Per. "Machine vision camera calibration and robot communication." Thesis, University West, Department of Technology, Mathematics and Computer Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-1351.

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<p>This thesis is a part of a larger project included in the European project, AFFIX. The reason for the project is to try to develop a new method to assemble an aircraft engine part so that the weight and manufacturing costs are reduced. The proposal is to weld sheet metal parts instead of using cast parts. A machine vision system is suggested to be used in order to detect the joints for the weld assembly operation of the sheet metal. The final system aims to locate a hidden curve on an object. The coordinates for the curve are calculated by the machine vision system and sent to a robot. The
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Alvarez, Teleña S. "Systematic trading : calibration advances through machine learning." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1461997/.

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Systematic trading in finance uses computer models to define trade goals, risk controls and rules that can execute trade orders in a methodical way. This thesis investigates how performance in systematic trading can be crucially enhanced by both i) persistently reducing the bid-offer spread quoted by the trader through optimized and realistically backtested strategies and ii) improving the out-of-sample robustness of the strategy selected through the injection of theory into the typically data-driven calibration processes. While doing so it brings to the foreground sound scientific reasons tha
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Ulmer, Bernard C. Jr. "Fabrication and calibration of an open architecture diamond turning machine." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/17120.

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Parkinson, Simon. "Construction of machine tool calibration plans using domain-independent automated planning." Thesis, University of Huddersfield, 2014. http://eprints.hud.ac.uk/id/eprint/20329/.

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The evolution in precision manufacturing has resulted in the requirement to produce and maintain more accurate machine tools. This new requirement coupled with desire to reduce machine tool downtime places emphasis on the calibration procedure during which the machine's capabilities are assessed. Machine tool downtime can be as much as $120 per hour and is significant for manufacturers because the machine will be unavailable for manufacturing use, therefore wasting the manufacturer's time and potentially increasing lead-times for clients. In addition to machine tool downtime, the uncertainty o
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Nichols, Scott A. "Improvement of the camera calibration through the use of machine learning techniques." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/anp1587/nichols%5Fthesis.pdf.

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Thesis (M.S.)--University of Florida, 2001.<br>Title from first page of PDF file. Document formatted into pages; contains vii, 45 p.; also contains graphics. Vita. Includes bibliographical references (p. 43-44).
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Herron, Christopher, and André Zachrisson. "Machine Learning Based Intraday Calibration of End of Day Implied Volatility Surfaces." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273419.

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The implied volatility surface plays an important role for Front office and Risk Management functions at Nasdaq and other financial institutions which require mark-to-market of derivative books intraday in order to properly value their instruments and measure risk in trading activities. Based on the aforementioned business needs, being able to calibrate an end of day implied volatility surface based on new market information is a sought after trait. In this thesis a statistical learning approach is used to calibrate the implied volatility surface intraday. This is done by using OMXS30-2019 imp
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Sousa, João Beleza Teixeira Seixas e. "Machine learning Gaussian short rate." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/12230.

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Dissertação para obtenção do Grau de Doutor em Estatística e Gestão do Risco<br>The main theme of this thesis is the calibration of a short rate model under the risk neutral measure. The problem of calibrating short rate models arises as most of the popular models have the drawback of not fitting prices observed in the market, in particular, those of the zero coupon bonds that define the current term structure of interest rates. This thesis proposes a risk neutral Gaussian short rate model based on Gaussian processes for machine learning regression using the Vasicek short rate model as pr
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Solorzano, Soria Ana Maria. "Fire Detectors Based on Chemical Sensor Arrays and Machine Learning Algorithms: Calibration and Test." Doctoral thesis, Universitat de Barcelona, 2020. http://hdl.handle.net/10803/669584.

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In some types of fire, namely, smoldering fires or involving polymers without flame, gases and volatiles appear before smoke is released. Most of the fatalities registered for fires, are caused due to the intoxication of the building occupants over the burns. Nowadays, conventional fire detectors are based on the detection of smoke or airborne particles. In smoldering fires situations, conventional fire detectors triggers the alarm after the release of toxic emissions. The early emission of gas in fires opens the possibility to build fire alarm systems with shorter response times than widespre
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Dutra, Calainho Felipe. "Evaluation of Calibration Methods to Adjust for Infrequent Values in Data for Machine Learning." Thesis, Högskolan Dalarna, Mikrodataanalys, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28134.

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The performance of supervised machine learning algorithms is highly dependent on the distribution of the target variable. Infrequent values are more di_cult to predict, as there are fewer examples for the algorithm to learn patterns that contain those values. These infrequent values are a common problem with real data, being the object of interest in many _elds such as medical research, _nance and economics, just to mention a few. Problems regarding classi_cation have been comprehensively studied. For regression, on the other hand, few contributions are available. In this work, two ensemble me
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Books on the topic "Machine calibration"

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Pahk, H. Computer aided volumetric error calibration of coordinate measuring machine. UMIST, 1990.

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D, Wilkin Neil, and National Institute of Standards and Technology (U.S.), eds. Fast probing considerations for on-machine inspection of parts. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Litvin, F. L. Determination of real machine-tool settings and minimization of real surface deviation by computerized inspection. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.

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Landrum, Roger. Flexo folder gluer: Maintenance and calibration procedures. TAPPI press, 1996.

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NAMAS. Calibration of weighing machines and weights. 3rd ed. NAMAS, 1992.

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American Society of Mechanical Engineers., ed. Parametric calibration of coordinate measuring machines. ASME, 1991.

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Landrum, Roger. Rotary diecutter: Maintenance and calibration procedures. TAPPI Press, 1996.

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NAMAS. General criteria for laboratory accreditation: The calibration of weighing machines. National Measurement Accreditation Service, 1988.

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United States. Natural Resources Conservation Service. Texas. Calibrating a seed drill for conservation planting. U.S. Dept. of Agriculture, Natural Resources Conservation Service, Texas, 2010.

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Fast probing considerations for on-machine inspection of parts. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Book chapters on the topic "Machine calibration"

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Mayer, J. R. R. "Machine Tool Calibration." In Precision Manufacturing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-4912-5_6-1.

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Mayer, J. R. R. "Machine Tool Calibration." In Precision Manufacturing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-4938-5_6.

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Godding, Robert. "Camera Calibration." In Handbook of Machine and Computer Vision. Wiley-VCH Verlag GmbH & Co. KGaA, 2017. http://dx.doi.org/10.1002/9783527413409.ch5.

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Smith, Graham T. "Laser Instrumentation and Calibration." In Machine Tool Metrology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25109-7_2.

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Flach, Peter A. "Classifier Calibration." In Encyclopedia of Machine Learning and Data Mining. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7502-7_900-1.

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Flach, Peter A. "Classifier Calibration." In Encyclopedia of Machine Learning and Data Mining. Springer US, 2017. http://dx.doi.org/10.1007/978-1-4899-7687-1_900.

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Ziegert, J. C., B. Jokiel, and C. C. Huang. "Calibration and Self-Calibration of Hexapod Machine Tools." In Parallel Kinematic Machines. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0885-6_13.

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Batchelor, Bruce G. "Appendix E: Robot Vision: Calibration." In Machine Vision Handbook. Springer London, 2012. http://dx.doi.org/10.1007/978-1-84996-169-1_46.

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Smith, Graham T. "Optical Instrumentation for Machine Calibration." In Machine Tool Metrology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25109-7_3.

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Rassiah-Szegedi, Prema, and Martin Szegedi. "Machine QA, Commissioning, and Calibration." In Absolute Therapeutic Medical Physics Review. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14671-8_8.

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Conference papers on the topic "Machine calibration"

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Muhtadin, Azzam Wildan Maulana, Rudy Dikairono, and Ahmad Zaini. "Omnivision Calibration on Mobile Robot Using Machine Learning." In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE, 2024. https://doi.org/10.1109/cenim64038.2024.10882712.

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Tsai, Roger Y., and Reimar Lenz. "Review of the Two-Stage Camera Calibration Technique plus some New Implementation Tips and some New Techniques for Center and Scale Calibration." In Machine Vision. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/mv.1987.tha4.

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Camera calibration is fundamental to 3D Sensing/Measurement with robotics/machine vision. Tsai, 1985, gives a detailed explanation of why camera calibration is important, a comprehensive review of the state of the art, and several reasons why there is a need, for a new technique like the Two-Stage Camera Calibration Technique. It also gives a complete account of the theory and implementation of the Two-Stage Calibration Technique. This talk, however, does the following things: 1. It attempts to review the principle of the Two-Stage Technique very briefly so that the readers can grasp the main
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Zhuang, Hanqi, Lixin Liu, and Oren Masory. "Autonomous Calibration of Hexapod Machine Tools." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1183.

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Abstract Hexapod machines are emerging as a new type of CNC machine tools. Among other things, stringent calibration is an important means to improve their accuracy. Traditionally, to perform system calibration, one needs to measure a number of machine poses using an external measuring device. However, this process is often labor-intensive and invasive, and difficult for on-line calibration. In this paper, a systematic way of self-calibrating a hexapod machine tool is introduced. By adding a small number of redundant internal sensors, errors of the hexapod machine tool can be measured. This ap
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P, Sturm,. "Self-Calibration of a Moving Camera by Pre-Calibration." In British Machine Vision Conference 1996. British Machine Vision Association, 1996. http://dx.doi.org/10.5244/c.10.55.

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Batista, Jorge, Jorge Dias, Helder Araiijo, and A. Traqa-de-Almeida. "Monoplanar Camera Calibration." In British Machine Vision Conference 1993. British Machine Vision Association, 1993. http://dx.doi.org/10.5244/c.7.48.

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Hermann, Gyula. "Linear scale calibration machine." In 2011 IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2011. http://dx.doi.org/10.1109/sami.2011.5738864.

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Huang, Weixin, and Hao Zheng. "Architectural Drawings Recognition and Generation through Machine Learning." In ACADIA 2018: Re/Calibration: On Imprecision and Infidelity. ACADIA, 2018. http://dx.doi.org/10.52842/conf.acadia.2018.156.

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Noyes, D. Ryan. "Horizontal to Vertical: An Increase in Effective Calibration Using Rope Fixtures." In NCSL International Workshop & Symposium. NCSL International, 2017. http://dx.doi.org/10.51843/wsproceedings.2017.20.

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At our laboratory, the calibration of a cable tension meter was traditionally done in the horizontal plane. This was done primarily due to the configuration of the test machine used at the time of calibration. The accuracy of this measurement was affected by additional forces such as cosine error and gravity affects on the unit under test itself. The implementation of a new, vertical testing machine in our laboratory offered us the opportunity to move the calibration to it and save time while improving the uncertainty of the measurement. However, this action was met with some difficulties that
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Loser, Raimund, John Rogers, and Stephen Kyle. "Kern space theodolite calibration." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294285.

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Caesar, Holger, Jasper Uijlings, and Vittorio Ferrari. "Joint Calibration for Semantic Segmentation." In British Machine Vision Conference 2015. British Machine Vision Association, 2015. http://dx.doi.org/10.5244/c.29.29.

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Reports on the topic "Machine calibration"

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Angerami, Aaron, Piyush Karande, Wojtek Fedorko, et al. Machine Learning for Pion Identification and Energy Calibration with the ATLAS Detector. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1638440.

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Gungor, Osman, Imad Al-Qadi, and Navneet Garg. Pavement Data Analytics for Collected Sensor Data. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-034.

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The Federal Aviation Administration instrumented four concrete slabs of a taxiway at the John F. Kennedy International Airport to collect pavement responses under aircraft and environmental loading. The study started with developing preprocessing scripts to organize, structure, and clean the collected data. As a result of the preprocessing step, the data became easier and more intuitive for pavement engineers and researchers to transform and process. After the data were cleaned and organized, they were used to develop two prediction models. The first prediction model employs a Bayesian calibra
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Grigg, D. A., P. E. Russell, and T. A. Dow. Design and calibration of a scanning tunneling microscope for large machined surfaces. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/476625.

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Taylor. L51578 Drop-Weight-Tear-Test Equipment Energy Calibration Program. Pipeline Research Council International, Inc. (PRCI), 1988. http://dx.doi.org/10.55274/r0010096.

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The Drop-Weight-Tear-Test (DWTT) energy absorption has not previously been considered as a measure of fracture toughness from this test. The DWTT was originally planned to define the fracture appearance transition temperature of line pipe. The test has been very successfully used for this purpose for the past 20 years. During this period of DWTT usage, the need for a toughness measurement to control ductile fracture propagation has seen the application of a Charpy shelf-energy in addition to a DWTT or Charpy shear area requirement in the specification of line-pipe properties. The purpose of ex
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