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Journal articles on the topic 'Quantity and measurement'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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1

Dovbeta, L. I., and V. V. Lyachnev. "Concepts of measurement and physical quantity measurement." Measurement Techniques 33, no. 11 (November 1990): 1087–89. http://dx.doi.org/10.1007/bf00976390.

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2

Cochran, R. C., G. Towne, and K. C. Olson. "Radiometric measurement of forage quantity." Kansas Agricultural Experiment Station Research Reports, no. 1 (January 1, 1995): 11–12. http://dx.doi.org/10.4148/2378-5977.2004.

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3

WADA, Koshiro, Hiroto HAYASHI, Hideaki HARA, and Hideki UENO. "2622 Development of Injection Quantity Measurement." Proceedings of the JSME annual meeting 2005.4 (2005): 81–82. http://dx.doi.org/10.1299/jsmemecjo.2005.4.0_81.

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4

Mari, Luca. "The meaning of “quantity” in measurement." Measurement 17, no. 2 (February 1996): 127–38. http://dx.doi.org/10.1016/0263-2241(96)00022-x.

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5

Muthuganesan, R., and R. Sankaranarayanan. "Fidelity-based measurement-induced nonlocality over two-sided measurements." International Journal of Quantum Information 16, no. 06 (September 2018): 1850054. http://dx.doi.org/10.1142/s0219749918500545.

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In this paper, we introduce fidelity-based measurement-induced nonlocality for bipartite quantum state to capture the nonlocal effects due to two-sided von Neumann projective measurements. We identify that all the properties of this quantity are reflected from that of One-sided measurement. We compute this quantity for arbitrary pure and mixed bipartite states. As an illustration, we have studied the nonlocality of Bell diagonal state.
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6

KAWADA, YOSHIAKI. "Sand drift quantity measurement on sloping coast." PROCEEDINGS OF COASTAL ENGINEERING, JSCE 36 (1989): 289–93. http://dx.doi.org/10.2208/proce1989.36.289.

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7

Pisarets, Anna, and S. Polishchuk. "HEAT ENERGY QUANTITY MEASUREMENT USING ULTRASONIC METHOD." Bulletin of Kyiv Polytechnic Institute. Series Instrument Making, no. 53(1) (June 30, 2017): 56–61. http://dx.doi.org/10.20535/1970.53(1).2017.106709.

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8

Emerson, W. H. "On quantity calculus and units of measurement." Metrologia 45, no. 2 (February 18, 2008): 134–38. http://dx.doi.org/10.1088/0026-1394/45/2/002.

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9

Doring, Bjorn J., and Marco Schwerdt. "The Radiometric Measurement Quantity for SAR Images." IEEE Transactions on Geoscience and Remote Sensing 51, no. 12 (December 2013): 5307–14. http://dx.doi.org/10.1109/tgrs.2012.2234128.

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10

Jacob, Vinodkumar, M. Bhasi, and R. Gopikakumari. "Impact of Human Factors on Measurement Errors." International Journal of Measurement Technologies and Instrumentation Engineering 1, no. 4 (October 2011): 28–44. http://dx.doi.org/10.4018/ijmtie.2011100103.

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Measurement is the act or the result, of a quantitative comparison between a given quantity and a quantity of the same kind chosen as a unit. It is for observing and testing scientific and technological investigations and generally agreed that all measurements contain errors. In a measuring system where both a measuring instrument and a human being taking the measurement using a preset process, the measurement error could be due to the instrument, the process or human error. This study is devoted to understanding the human errors in measurement. Work and human involvement related factors that could affect measurement errors have been identified. An experimental study has been conducted using different subjects where the factors were changed one at a time and the measurements made by them recorded. Errors in measurement were then calculated and the data so obtained was subject to statistical analysis to draw conclusions regarding the influence of different factors on human errors in measurement. The findings are presented in the paper.
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11

ISSHIKI, Yoshihiro, Hiroshi YAMAGUCHI, Gosaku KAWAI, Takeshi SAWAI, and Koichi OGAWA. "Measurement of Quantity of Heat in Friction Welding." Journal of High Temperature Society 30, no. 5 (2004): 279–85. http://dx.doi.org/10.7791/jhts.30.279.

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12

Dong, Prof Zhiyong. "On The Concepts Of Quality, Quantity and Measurement." World Journal of Education and Humanities 2, no. 2 (October 31, 2019): p118. http://dx.doi.org/10.22158/wjeh.v2n2p118.

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13

Fokeeva, Liya H., and Ramilya Kimetova. "Modern Technologies for Oil Quantity Measurement in Tanks." HELIX 9, no. 5 (October 31, 2019): 5631–34. http://dx.doi.org/10.29042/2019-5631-5634.

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14

Bunge, Mario. "Quality, quantity, pseudoquantity and measurement in social science*." Journal of Quantitative Linguistics 2, no. 1 (January 1995): 1–10. http://dx.doi.org/10.1080/09296179508590027.

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15

Fuentes-Arderiu, Xavier. "Measuring with zero measurement uncertainty a primitive quantity." Accreditation and Quality Assurance 16, no. 2 (January 7, 2011): 103. http://dx.doi.org/10.1007/s00769-010-0745-y.

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16

Siuda, Ryszard, and Andrzej Grabowski. "Combined measurements – A way to improve the measurement accuracy of an additive quantity." Measurement 45, no. 5 (June 2012): 1165–69. http://dx.doi.org/10.1016/j.measurement.2012.01.021.

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17

Zahner, Marco, Jürg Fröhlich, and Juerg Leuthold. "Exposure measurement platform for electromagnetic field monitoring and epidemiological research." tm - Technisches Messen 85, no. 5 (May 25, 2018): 312–20. http://dx.doi.org/10.1515/teme-2017-0111.

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Abstract Exposimetry of electromagnetic fields refers to a measurement technology aiming to quantify the immission or absorption of fields and/or energy in specific ranges of the electromagnetic spectrum. Portable, small and accurate measurement instruments were developed to provide tools for epidemiological research and environmental monitoring. The target measurement quantity was the average amount of RMS field strength that an average individual will experience in everyday environments. This quantity can be used to classify different groups of the population or to track changes in exposure conditions within defined regions or along specified tracks. Methods and tools for the assessment of the personal exposure to low-frequency magnetic fields (LF-MF), radio frequency electromagnetic fields (RF-EMF) and pulsed RF emissions from radar installations have been developed, characterized, and tested. The result is a measurement platform enabling a large variety of measurement procedures and study protocols.
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18

Jian, Wang, Rui Lin Zhong, Chang Qing Cai, Hong Yao, Zhang Yue, and Jing An Ding. "Research of Influence Quantity on Mass Metrology." Advanced Materials Research 320 (August 2011): 518–23. http://dx.doi.org/10.4028/www.scientific.net/amr.320.518.

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According to the measurement principle of magnetic parameter of weight, the influence of reading stability for measuring magnetism of weight is analyzed, and the key influence of reading stability is presented in the measurement process. The magnetism of weight is measured by the magnetic susceptometer with capacity of 5.1g and resolution of 0.1 mg. At the same time the change of environmental vibration at the laboratory and the fluctuating of ambient magnetic field are measured respectively. The experimental results show the fluctuating of ambient magnetic field that is the key influence parameter of weight magnetism measurement.
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19

Abebe, Kidane, Deyi Zhou, Bekele Etea, Fekadu Senbeta, Dereje Debeli, and Rajani Osti. "Cereal Commodity Trading in Ethiopian Local Marketplace: Examining Farmers’ Quantity Measurement Behaviors." Agriculture 8, no. 12 (December 1, 2018): 188. http://dx.doi.org/10.3390/agriculture8120188.

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Local marketplaces are remarkable organizations for agricultural product transactions in Ethiopia. However, little is known concerning measurement practices in these micro-trading zones. Thus, this study intended to examine the cereal commodity quantity measurement behaviors of farmers in the local marketplaces of Ethiopia. A survey was conducted in four districts marketplaces (N = 382) of the Oromia Region. The χ2 test was employed to evaluate the association between farmers’ perception of the accuracy of local units and measuring instruments related to immoral buyers’ behaviors. According to the findings, farmers’ cereals quantity measurement behaviors proved the presence of unreliability which created transaction, measurement, social capital, and two-hand palm cereals gift costs. The χ2 test results indicated that farmers’ perceptions of the accuracy of local units and measuring tools related to buyers’ unethical behaviors had significant relationships with bowl, glass, sack, and can local units, except for weight balance in Dendi and Bako Tibe, and for cans in the Gimbichu area. This study demonstrates that standardization of tools and measurements, together with institutional support, would have a huge potential for economizing transaction costs and making equitable cereals exchanges and efficient markets.
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20

Kim, H. Youn. "Inverse Demand Systems and Welfare Measurement in Quantity Space." Southern Economic Journal 63, no. 3 (January 1997): 663. http://dx.doi.org/10.2307/1061101.

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21

Chen, Xing. "Basis entropy: A useful physical quantity about projective measurement." Journal of Physics: Conference Series 752 (September 2016): 012007. http://dx.doi.org/10.1088/1742-6596/752/1/012007.

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22

Ali, Maisarah, Md Najib Ibrahim, Rodzyah Haji Mohd Yunus, Mohamad Ridzuan Yahya, Faridah Ismail, Azrin Mohd Din, and Mohd Shariffuddin Ibrahim. "Exploring Methods of Quantity Measurement for Heritage Conservation Works." Advanced Science Letters 23, no. 7 (July 1, 2017): 6277–80. http://dx.doi.org/10.1166/asl.2017.9251.

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23

Duysak, Huseyin, and Enes Yigit. "Machine learning based quantity measurement method for grain silos." Measurement 152 (February 2020): 107279. http://dx.doi.org/10.1016/j.measurement.2019.107279.

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24

Antoš, Pavel. "Hwa measurement of turbulent diffusion of a scalar quantity." EPJ Web of Conferences 25 (2012): 01004. http://dx.doi.org/10.1051/epjconf/20122501004.

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25

Michell, Joel, and Catherine Ernst. "The Axioms of Quantity and the Theory of Measurement." Journal of Mathematical Psychology 40, no. 3 (September 1996): 235–52. http://dx.doi.org/10.1006/jmps.1996.0023.

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26

Michell, Joel, and Catherine Ernst. "The Axioms of Quantity and the Theory of Measurement." Journal of Mathematical Psychology 41, no. 4 (December 1997): 345–56. http://dx.doi.org/10.1006/jmps.1997.1178.

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27

Kuang, Ye Chow, Arvind Rajan, Melanie Po-Leen Ooi, and Serge N. Demidenko. "Measured Quantity Value Estimator for Multiplicative Nonlinear Measurement Models." IEEE Transactions on Instrumentation and Measurement 66, no. 4 (April 2017): 715–22. http://dx.doi.org/10.1109/tim.2017.2658000.

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28

Yokomori, Maasa, Kenji Tsuge, Koh-ichiroh Shohda, and Akira Suyama. "Improved measurement of absolute mRNA quantity without reverse transcription." Analytical Biochemistry 579 (August 2019): 1–8. http://dx.doi.org/10.1016/j.ab.2019.05.003.

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29

Li, Dongmin, Jianzhong Zhang, Jianjun Yuan, FancanGuo, and Huiming Wang. "Simulation and Measurement of Fuel Injection Quantity Based on TB4P." Journal of Robotics and Mechatronics 26, no. 1 (February 20, 2014): 34–39. http://dx.doi.org/10.20965/jrm.2014.p0034.

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In order to improve the measurement accuracy of fuel injection quantity based on Test Bench for fuel injection Pump (abbr. TB4P), on the basis of the function between needle valve lift and fuel injection quantity, two-level pressure adjustment module, which combines proportional flow rate valve with pressure sensor and takes advantage of spring of fuel injector, is used to control the outlet pressure of fuel injection pump, which results in the fuel injection pressure stably. Fuel injection pump and fuel injector are modeled by use of HCD of AMESim, and the system model of fuel injection quantity measurement is built. Simulation curve of fuel injection quantity is got by AMESim, which is compared with the curve of standard fuel injection quantity according to relative error. The results show that the relative error from the data of simulation system is smaller, so the methods of measurement and simulation in this paper are effective.
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30

Seitz, S., R. Feistel, D. G. Wright, S. Weinreben, P. Spitzer, and P. De Bièvre. "Metrological traceability of oceanographic salinity measurement results." Ocean Science 7, no. 1 (January 19, 2011): 45–62. http://dx.doi.org/10.5194/os-7-45-2011.

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Abstract. Consistency of observed oceanographic salinity data is discussed with respect to contemporary metrological concepts. The claimed small uncertainty of salinity measurement results traceable to the conductivity ratio of a certified IAPSO Standard Seawater reference is not metrologically justified if results are compared on climatic time scales. This applies in particular to Practical Salinity SP, Reference Salinity SR, and the latest estimates of Absolute Salinity using the TEOS-10 formalism. On climate time scales an additional contribution to the uncertainty that is related to unknown property changes of the reference material must be accounted for. Moreover, when any of these measured or calculated quantity values is used to estimate Absolute Salinity of a seawater sample under investigation, another uncertainty contribution is required to quantify the accuracy of the equations relating the actually measured quantity to the Absolute Salinity. Without accounting for these additional uncertainties, such results cannot be used to estimate Absolute Salinity with respect to the International System of Units (SI), i.e. to the unit chosen for the mass fraction of dissolved material in the sample, which is "g kg−1". From a metrological point of view, such deficiencies in the calculations involving other quantities will produce SI-incompatible results. We outline how these problems can be overcome by linking salinity to primary SI measurement standards.
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31

Seitz, S., R. Feistel, D. G. Wright, S. Weinreben, P. Spitzer, and P. De Bièvre. "Metrological traceability of oceanographic salinity measurement results." Ocean Science Discussions 7, no. 4 (July 22, 2010): 1303–46. http://dx.doi.org/10.5194/osd-7-1303-2010.

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Abstract. Consistency of observed oceanographic salinity data is discussed with respect to contemporary metrological concepts. The claimed small uncertainty of salinity measurement results traceable to the conductivity ratio of a certified IAPSO Standard Seawater reference is not metrologically justified if results are compared on climatic time scales. This applies in particular to Practical Salinity SP, Reference Salinity SR, and the latest estimates of Absolute Salinity using the TEOS-10 formalism. In climate time scales an additional contribution to the uncertainty that is related to unknown property changes of the reference material must be accounted for. Moreover, when any of these measured or calculated quantity values is used to estimate Absolute Salinity of a seawater sample under investigation, another uncertainty contribution is required to quantify the accuracy of the equations relating the actually measured quantity to the Absolute Salinity. Without accounting for these additional uncertainties, such results cannot be used to estimate Absolute Salinity with respect to the International System of Units (SI), i.e. to the unit chosen for the mass fraction of dissolved material in the sample, which is "g/kg". From a metrological point of view, such deficiencies in the calculations involving other quantities will produce SI-incompatible results. We outline how these problems can be overcome by linking salinity to primary SI measurement standards.
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32

Zhang, Yanliang, Maofa Fang, Guodong Kang, and Qingping Zhou. "Reducing quantum-memory-assisted entropic uncertainty by weak measurement and weak measurement reversal." International Journal of Quantum Information 13, no. 05 (August 2015): 1550037. http://dx.doi.org/10.1142/s0219749915500379.

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We have investigated the dynamic features of the quantum-memory-assisted entropic uncertainty relation (QMA EUR) in the amplitude damping (AD) channel. The initial state of qubit system and quantum memory system shared between Alice and Bob is assumed as extended by Werner-like (EWL) state. To reduce the amount of entropic uncertainty of Pauli observables in this noisy channel, we presented a reduction scheme by means of weak measurements (WMs) and weak measurement reversals (WMRs) before and after the entangled system subjecting to the noisy channel. It is shown that the prior WM and poster WMR can effectively reduce quantity of entropic uncertainty, but the poster WM operation cannot played a positive role on reduction of quantity of entropic uncertainty. We hope that our proposal could be verified experimentally and might possibly have future applications in quantum information processing.
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33

Michelbach, S., and C. Wöhrle. "Settleable Solids in a Combined Sewer System – Measurement, Quantity, Characteristics." Water Science and Technology 25, no. 8 (April 1, 1992): 181–88. http://dx.doi.org/10.2166/wst.1992.0192.

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Sediment and transportation of mineral and organic pollution in combined sewer systems are not completely understood. For better understanding, samples of sediment, slime and urban runoff were taken from the combined sewer system of Bad Mergentheim. The sedimentation velocity of settleable solids was measured with a settling apparatus. Typical settling curves for sediment, slime and wastewater were compiled. Some of the samples were analysed for heavy metals and organic micropollutants. By this the relationship between settling velocity and the load of heavy metals can be shown. The gained data are of interest to size clarifier tanks for stormwater treatment.
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34

Alahautala, Taito, Erkki Lassila, Rolf Hernberg, Esko Härkönen, and Petteri Vuorio. "Optical measurement of pulp quantity in a rotating disc refiner." Measurement Science and Technology 15, no. 11 (October 9, 2004): 2256–62. http://dx.doi.org/10.1088/0957-0233/15/11/011.

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35

Calonico, D., F. Levi, L. Lorini, and G. Mana. "Bayesian inference of a negative quantity from positive measurement results." Metrologia 46, no. 3 (April 6, 2009): 267–71. http://dx.doi.org/10.1088/0026-1394/46/3/014.

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36

De-Ming, Ren. "Entanglement and Quantity in Quantum Space — About Quantum Measurement (II)." Communications in Theoretical Physics 42, no. 1 (July 15, 2004): 33–36. http://dx.doi.org/10.1088/0253-6102/42/1/33.

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37

HASEGAWA, Go, and Yoshiharu TSUKAMOTO. "EXPRESSION OF MEASUREMENT COMPARING QUANTITY BY ARRANGEMENT OF BUILDING ELEMENTS." Journal of Architecture and Planning (Transactions of AIJ) 77, no. 673 (2012): 733–38. http://dx.doi.org/10.3130/aija.77.733.

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38

Hayashi, T., N. Asakura, N. Ashikawa, and T. Nakano. "Measurement of Dust Quantity and Distribution Collected from JT-60U." Fusion Science and Technology 60, no. 4 (November 2011): 1548–51. http://dx.doi.org/10.13182/fst11-a12728.

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39

Goldfinch, E. P. "Editorial - Measurement 'Quantity' for Extremity Doses - What's in a Name?" Radiation Protection Dosimetry 69, no. 3 (February 1, 1997): 163–64. http://dx.doi.org/10.1093/oxfordjournals.rpd.a031900.

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40

Fisher, Franklin M. "The production-theoretic measurement of input price and quantity indices." Journal of Econometrics 65, no. 1 (January 1995): 155–74. http://dx.doi.org/10.1016/0304-4076(94)01600-5.

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41

Silva Portela, Maria Conceição A. "Value and quantity data in economic and technical efficiency measurement." Economics Letters 124, no. 1 (July 2014): 108–12. http://dx.doi.org/10.1016/j.econlet.2014.04.023.

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42

Vasil'ev, N. A., and A. E. Il'in. "Determination of the quantity of information in continuous process measurement." Measurement Techniques 32, no. 8 (August 1989): 754–57. http://dx.doi.org/10.1007/bf02110485.

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43

Selivanov, M. N. "Definition of ?metrology,? ?quantity,? and ?measurement? (A subject for discussion)." Measurement Techniques 35, no. 2 (February 1992): 142–50. http://dx.doi.org/10.1007/bf00978861.

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44

Probert, M. E., and P. W. Moody. "Relating phosphorus quantity, intensity, and buffer capacity to phosphorus uptake." Soil Research 36, no. 3 (1998): 389. http://dx.doi.org/10.1071/s97107.

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The short-term (25 days) phosphorus (P) uptake by maize has been reported to be most strongly correlated with measurements of P intensity in soil. Correlations of P uptake with bicarbonate-extractable P (a measure of the quantity factor) were improved when indices of P buffer capacity were included, but not to the extent obtained with the direct measure of P intensity. Thus, one might infer that measurements of the quantity factor and P buffer capacity were less satisfactory for describing P availability. It is now shown that this conclusion results entirely from the model fitted to the data. By using a multiplicative rather than additive model, it is shown that bicarbonate-extractable P in combination with measures of P buffer capacity can describe the P uptake data equally as well as a direct measurement of P intensity.
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45

Lobato, H., C. Ferri, J. Faraway, and N. Orchard. "Uncertainty due to experimental conditions in co-ordinate measuring machines." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 5 (March 3, 2009): 499–509. http://dx.doi.org/10.1243/09544054jem1255.

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Any measurement method of a physical quantity cannot provide an exact unequivocal result owing to the infinite amount of information necessary to characterize fully both the physical quantity to be measured and the measuring process. Therefore, a quantitative indication of the quality of a measurement result needs to be given to enable its reliable use. Uncertainty is one such indication. Provision of incorrect uncertainty statements for measurements performed by a co-ordinate measuring machine (CMM) may lead to very serious economic implications. In this study, the uncertainty of CMM measurements is estimated by a single parameter accounting for both systematic and random errors. The effects that environmental conditions (temperature), discretionary set-up parameters (probe extension, stylus length), and measuring plan decisions (number of points) have on uncertainty of measurements are then investigated. Interactions between such factors are also shown to be significant.
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46

GURVITZ, S. A. "QUANTUM LIMIT OF MEASUREMENT AND THE PROJECTION POSTULATE." International Journal of Modern Physics B 20, no. 11n13 (May 20, 2006): 1363–70. http://dx.doi.org/10.1142/s0217979206033978.

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We study an electrostatic qubit monitored by a point-contact detector. Projecting an entire qubit-detector wave function on the detector eigenstates we determine the precision limit for the qubit measurements, allowed by quantum mechanics. We found that this quantity is determined by qubit dynamics as well as decoherence, generated by the measurement. Our results show how the quantum precision limit can be improved by a proper design of a measurement procedure.
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47

Jiang, Lei, Shi Sheng Zhou, and Ying Cui. "Model of Ink Quantity Control Based on Colorimetry System." Applied Mechanics and Materials 262 (December 2012): 258–62. http://dx.doi.org/10.4028/www.scientific.net/amm.262.258.

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Abstract. In the offset printing process，the ink quantity control in the ink zone, color and ink quantity transformation algorithm and the establishment of database，are all based on principle of density measurement. With the establishment and wide spread use of the standard ISO12647-2 for offset, colorimetric measurement is becoming a tendency. By experimental research，this article analyses the relationship between ink thickness and colorimetric value(L*a*b*) by regression method, determines the best ink quantity parameter, establishes the model of ink quantity controlling based on colorimetry system.
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48

Psota, Pavel, Roman Doleček, Vít Lédl, and Tomáš Vít. "Dynamic interferometric measurement with extended unambiguity range in flow measurement." EPJ Web of Conferences 180 (2018): 02087. http://dx.doi.org/10.1051/epjconf/201818002087.

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This paper reports on a new approach to measure dynamic processes in fluid mechanics using interferometry with extended dynamic range. A key factor is the use of two wavelengths and the recording of interferograms from both wavelengths in one frame. Phase map evaluation is based on the Fourier transform. The difference between the obtained phase fields creates a synthetic phase whose dynamic range also covers large changes of the measured quantity.
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49

Wan, Shu Min, Wang Zhao, Guang You Li, and Shuai Chen. "Measurement and Evaluation of Ferrite Surface Crack." Applied Mechanics and Materials 633-634 (September 2014): 296–301. http://dx.doi.org/10.4028/www.scientific.net/amm.633-634.296.

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An acquisition of ferrite surface images has been taken with a LY-WN-YH Hyper-depth measurement system, from which the crack condition was analyzed with MATLAB. Based on the contradistinction between experimental data from ferrite work pieces of different quality, a preliminary conclusion has been drawn that the surface quality of ferrite materials has a direct link to the quantity and length of the crack on them. By measuring the quantity and length of the crack, an initial criterion was obtained for judging the surface quality of ferrite.
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50

Benoit, Eric. "Fuzzy scales for the measurement of color." ACTA IMEKO 3, no. 3 (September 23, 2014): 57. http://dx.doi.org/10.21014/acta_imeko.v3i3.89.

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The color, with the particularity to be defined simultaneously as a physical quantity and as a psychophysical quantity, is one of the concepts that can link hard sciences and behavioural sciences. From the viewpoint of behavioural sciences, colors are basically measured with nominal scales. in hard sciences, colors are measured with interval scales. Our hypothesis is that the main relation that must be preserved during a color measurement is a metric. We suggest then that colors must be measured with metrical scales. The fuzzy metrical scale is preferred due to the possibility to define it like a nominal scale.
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