Academic literature on the topic 'Measurement of physical quantities'

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Journal articles on the topic "Measurement of physical quantities"

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Domotor, Zoltan. "Torsor Theory of Physical Quantities and their Measurement." Measurement Science Review 17, no. 4 (2017): 152–77. http://dx.doi.org/10.1515/msr-2017-0019.

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AbstractThe principal objective of this paper is to provide a torsor theory of physical quantities and basic operations thereon. Torsors are introduced in a bottom-up fashion as actions of scale transformation groups on spaces of unitized quantities. In contrast, the shortcomings of other accounts of quantities that proceed in a top-down axiomatic manner are also discussed. In this paper, quantities are presented as dual counterparts of physical states. States serve as truth-makers of metrological statements about quantity values and are crucial in specifying alternative measurement units for base quantities. For illustration and ease of presentation, the classical notions of length, time, and instantaneous velocity are used as primordial examples. It is shown how torsors provide an effective description of the structure of quantities, systems of quantities, and transformations between them. Using the torsor framework, time-dependent quantities and their unitized derivatives are also investigated. Lastly, the torsor apparatus is applied to deterministic measurement of quantities.
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Didenko, V. I., and I. P. Konchalovskiy. "Mutual Conversions of Physical and Mathematical Quantities in Measurement." Journal of Physics: Conference Series 1065 (August 2018): 052001. http://dx.doi.org/10.1088/1742-6596/1065/5/052001.

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Rogante, Marco, Montserrat Bernabeu, Hermie J. Hermens, et al. "Measurement of physical quantities in upper-limb tele-rehabilitation." Journal of Telemedicine and Telecare 15, no. 3 (2009): 153–55. http://dx.doi.org/10.1258/jtt.2009.003015.

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A total of 50 patients (affected by traumatic brain injury, stroke or multiple sclerosis) were treated for one month using a rehabilitation protocol. Rehabilitation could be monitored using a Portable Unit (PU) which could be installed in a patient's home allowing the measurement of kinetic and kinematic variables during exercise. In a preliminary analysis, the variables related to four rehabilitation exercises were examined for two patients at baseline and at the end of the one-month treatment. The exercises involved movement of checkers, a pencil, a jar and a key. The results suggest that, even if the overall duration of exercise execution is an important aspect of the rehabilitation process, other variables acquired by the PU might deliver useful information for assessing the patient's status. In order to integrate such variables into the assessment process, further studies are needed to investigate their eventual correlation with traditional rehabilitation scales and variables.
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Mamadjanov, Akhrorjon Ibragimovich, Akhmadjon Mahamadovich Solia, and Shokhrukh Rustamjonovich Nazarov. "Measurement of some physical quantities using a michelson interferometer." ACADEMICIA: An International Multidisciplinary Research Journal 10, no. 11 (2020): 2348–53. http://dx.doi.org/10.5958/2249-7137.2020.01654.7.

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Shishkin, Igor F. "Measurements of non-physical quantities." Journal of Physics: Conference Series 772 (November 2016): 012029. http://dx.doi.org/10.1088/1742-6596/772/1/012029.

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Rode, G. G. "Propagation of the Measurement Errors and Measured Means of Physical Quantities for the Elementary Functions x2 and x." Ukrainian Journal of Physics 62, no. 2 (2017): 184–91. http://dx.doi.org/10.15407/ujpe62.02.0184.

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Trendler, Günter. "Conjoint measurement undone." Theory & Psychology 29, no. 1 (2018): 100–128. http://dx.doi.org/10.1177/0959354318788729.

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According to classical measurement theory, fundamental measurement necessarily requires the operation of concatenation qua physical addition. Quantities which do not allow this operation are measurable only indirectly by means of derived measurement. Since only extensive quantities sustain the operation of physical addition, measurement in psychology has been considered problematic. In contrast, the theory of conjoint measurement, as developed in representational measurement theory, proposes that the operation of ordering is sufficient for establishing fundamental measurement. The validity of this view is questioned. The misconception about the advantages of conjoint measurement, it is argued, results from the failure to notice that magnitudes of derived quantities cannot be determined directly, i.e., without the help of associated quantitative indicators. This takes away the advantages conjoint measurement has over derived measurement, making it practically useless.
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Domotor, Zoltan, and Vadim Batitsky. "An Algebraic Approach to Unital Quantities and their Measurement." Measurement Science Review 16, no. 3 (2016): 103–26. http://dx.doi.org/10.1515/msr-2016-0014.

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Abstract The goals of this paper fall into two closely related areas. First, we develop a formal framework for deterministic unital quantities in which measurement unitization is understood to be a built-in feature of quantities rather than a mere annotation of their numerical values with convenient units. We introduce this idea within the setting of certain ordered semigroups of physical-geometric states of classical physical systems. States are assumed to serve as truth makers of metrological statements about quantity values. A unital quantity is presented as an isomorphism from the target system’s ordered semigroup of states to that of positive reals. This framework allows us to include various derived and variable quantities, encountered in engineering and the natural sciences. For illustration and ease of presentation, we use the classical notions of length, time, electric current and mean velocity as primordial examples. The most important application of the resulting unital quantity calculus is in dimensional analysis. Second, in evaluating measurement uncertainty due to the analog-to-digital conversion of the measured quantity’s value into its measuring instrument’s pointer quantity value, we employ an ordered semigroup framework of pointer states. Pointer states encode the measuring instrument’s indiscernibility relation, manifested by not being able to distinguish the measured system’s topologically proximal states. Once again, we focus mainly on the measurement of length and electric current quantities as our motivating examples. Our approach to quantities and their measurement is strictly state-based and algebraic in flavor, rather than that of a representationalist-style structure-preserving numerical assignment.
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Liehr, Sascha, Yonas Seifu Muanenda, Sven Münzenberger, and Katerina Krebber. "Relative change measurement of physical quantities using dual-wavelength coherent OTDR." Optics Express 25, no. 2 (2017): 720. http://dx.doi.org/10.1364/oe.25.000720.

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Pronenko, V. I. "Measurement uncertainties and the true values and errors of physical quantities." Measurement Techniques 31, no. 1 (1988): 11–13. http://dx.doi.org/10.1007/bf00865749.

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Dissertations / Theses on the topic "Measurement of physical quantities"

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Bennich-Björkman, Oscar. "A comprehensive summary and categorization of physical quantity libraries." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353817.

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In scientific applications, physical quantities and units of measurement are used regularly. If the inherent incompatibility between these different units is not handled properly it can lead to major, and sometimes catastrophic, problems. Although the risk of a miscalculation is high and the cost equally so, almost no programming languages has support for physical quantities. Instead developers often rely on external libraries to help them spot these mistakes or prevent them all together. There are several hundred of these types of libraries, spread across multiple sites and with no simple way to get an overview. No one has summarized what has and has not been achieved so far in the area leading to many developers trying to ‘reinvent the wheel’ instead of building on what has already been done. This shows a clear need for this type of research. Employing a systematic approach to look through and analyze all available physical quantity libraries, the search results were condensed into 82 libraries which are presented in this thesis. These are the most comprehensive and well-developed, open-source libraries, chosen from approximately 3700 search results across seven repository hosting sites. In this group, 30 different programming languages are represented. The goal is for the results of this thesis to contribute to a shared foundation on which to build future libraries as well as provide an easy way of spreading knowledge about which libraries exist in the area, thus making it easier for more people to use them.
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Wakefield, M. A. "Bounds on quantities of physical interest." Thesis, University of Reading, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272236.

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Fardad, Abbas Ali. "Measurement of three-dimensional flow quantities inside a curved duct." Thesis, University of Bradford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292641.

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Pasha, Massih. "Modelling of flowability measurement of cohesive powders using small quantities." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/4932/.

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The characterisation of cohesive powders for flowability is often required for reliable design and consistent operation of powder processes. This is commonly achieved by the unconfined compression test or shear test, but these techniques require a relatively large amount of powder and are limited to large pre-consolidation loads. There are a number of industrial cases where these tests are not applicable because small amounts of powders have to be handled and processed, such as filling and dosing of small quantities of powder in capsules and dispersion in dry powder inhalers. In other cases, the availability of testing powders could be a limiting issue. It has been shown by Hassanpour and Ghadiri (2007) that under certain circumstances, indentation on a cohesive powder bed by a blunt indenter can give a measure of the resistance to powder flow, which is related to flowability. However, the specification of the operation window in terms of sample size, penetration depth, indenter properties and strain rate has yet to be fully analysed. In the present work, the ball indentation process is analysed by numerical simulations using the Distinct Element Method (DEM). The flow resistance of the assembly, commonly termed hardness, is evaluated for a range of sample quantities and operation variables. It is shown that a minimum bed height of 20 particle diameters is required in order to achieve reliable measurements of hardness. A sensitivity analysis of indenter size reveals that small indenters with diameters less than 16 times the particle diameter exhibit fluctuations in powder flow stress measurements, which do not represent shear deformation. The penetration depth should be sufficiently large to cause notable bed shear deformation. It is found that this minimum penetration depth is approximately equal to 10% of the indenter radius. The hardness measurements are found to be independent of indenter stiffness within the wide range investigated. The friction between the indenter and the particles slightly increases the hardness, although its influence on the internal stresses is negligible. Cubic and cylindrical indenters measure significantly larger hardness value compared to the spherical indenter. Increasing the inter-particle friction and cohesion results in higher hardness values and internal stresses, due to the increase in resistance to shear deformation. Simulations at a range of indenter velocities confirm that the ball indentation technique can be used to analyse powder flowability over a wide range of shear rates.
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Ninnemann, Todd A. "Aspirating probes for measurement of mean concentration and fluctuating quantities in supersonic air/helium shear layer." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-12232009-020346/.

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Weingarten, Leopold. "Physical Hybrid Model : Measurement - Experiment - Simulation." Thesis, Uppsala universitet, Fasta tillståndets fysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176412.

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A method has been developed, Physical Hybrid Model, to investigate the physical large scale electrical effects of a Battery Energy Storage System (BESS) on a distribution grid by scaling the response from a small size Research Development and Demonstration (RD&D) platform. In order to realize the model the control system of an existing RD&D platform was refurbished and stability of components ensured. The Physical Hybrid Model proceeds as follows: Data from a distribution grid are collected. A BESS cycle curve is produced based on analyzed measurements. Required BESS power and capacity in investigated grid is scaled down by factor k to that of the physical test installation of the RD&D platform. The scaled BESS cycle is sent as input to control of the battery cycling of the RD&D platform. The response from the RD&D platform is scaled – up, and used in simulation of the distribution grid to find the impact of a BESS. The model was successfully implemented on a regional distribution grid in southern Sweden.
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Grimwade, Doug. "Measurement of physical activity in adolescents." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496252.

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The accurate measurement of physical activity in children and adolescents is very difficult and there is currently no ideal method for use in this area of research that measures all facets of physical activity behaviour. The primary aim of this study was to develop and evaluate an Internet-based self-report, the ActiLog. Secondary aims were to evaluate the use of heart rate monitoring and accelerometry for measuring physical activity in adolescents.
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Corder, Kirsten Liane. "Physical activity measurement in young people." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612144.

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Swartz, Ann M. "A comparison of the health and fitness benefits received with varying quantities of energy expenditure." Virtual Press, 1998. http://liblink.bsu.edu/uhtbin/catkey/1115731.

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The Surgeon General's Report on Physical Activity and Health recommends expending 200 kcals "on most, if not all days of the week" (1000 to 1400 kcals/week) as a minimum quantity of exercise energy expenditure (EE) required to obtain health benefits. The ACSM recommends expending a minimum of 1000 kcals/week to receive fitness benefits. The purpose of this study was to evaluate the effect of EE above and below 1200 kcals/week on health and fitness benefits. Twenty-six previously sedentary males and females (mean age = 47 ± 2 years), with at least one risk factor for CAD completed the 22-32 week endurance exercise training study. Subjects performed an initial health screening and treadmill test which included measures of heart rate, blood pressure, blood lipids, body composition at rest, and metabolic data (V02, VE, RER) during the maximal treadmill test. Subjects began exercising with the Adult Physical Fitness Program at a self-selected amount of energy expenditure, recording heart rate, frequency, and duration of exercise on an exercise log card after every exercise session. After 22-32 weeks, subjects returned to the laboratory for a final evaluation identical to the first. The metabolic data from the initial and final tests, along with the data from the exercise log card was used to develop an estimation of energy expenditure/week. Subjects were then categorized into either < or > 1200 kcal/week energy expenditure. Results of the pre/post (n=12) training blood pressure, blood lipids, body composition and V02 __ measures were:EE <1200 kcalsEE >1200 kcalsVariablePre TrainingPost TrainingPre Training 'PostTrainingVO2.(L/min)2.287+.1982.397±.1983.064±.2073.290±.210VO2.(ml/kg/min)27.4+1.7-28.2+1.7-33.0+2.4-37.3±2.6 #HDL-C(mg/dl)51+4.355±4.547±2.850±3.2SBP(mmHg)121±4117±3124±4y120±37BMI(k g/m2)28.0±1.728.3+1.731.2+1.6730.0+1.5y #*p <0.05 training main effect, #p < 0.05 group by time interaction, y: n=14The group that expended above 1200 kcals/week displayed more improvement inrelative V02 n,.,., and BMI following the training program than the group thatexpended less than 1200 kcals/week. Furthermore, there was a training main effect showing adaptations in V02 ., HDL and SBP. In conclusion, previously at risk, sedentary individuals exercise training > 2 days/week can receive health and fitness benefits. However, those expending more than 1200 kcals/week will receive a greater benefit in terms of body composition and cardiovascular fitness.<br>School of Physical Education
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Rowlands, Ann V. "The measurement of physical activity in children." Thesis, Bangor University, 1998. https://research.bangor.ac.uk/portal/en/theses/the-measurement-of-physical-activity-in-children(1fdce5ef-f1dd-49f7-964d-fe7cee7ca9dc).html.

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This thesis includes one qualitative literature review, three empirical studies and one meta-analysis examining the measurement of physical activity in children. Previous research has highlighted the difficulties inherent in measuring children's habitual activity. This has lead to confusion regarding the relationships between physical activity and health in children. Recently a new type of activity monitor has been developed. Uniaxial (WAM, Computer Science Applications, Shalimar, Florida, USA) and triaxial (Tritrac, Professional Products, a division of Reining International, Madison, WI, USA) accelerometers that record temporal, frequency and intensity information of movement are now commercially available. The aims of this thesis were to evaluate the validity of these and other measures of physical activity in children, to examine the relationship between physical activity and body fat in children and to investigate the effect the mode of activity measurement has on this relationship. The main findings were: a) The Tritrac provided a significantly better estimate of scaled oxygen consumption during typical children's activities than the WAM, heart rate or pedometry; b) Physical activity, measured by the Tritrac or the pedometer, was inversely correlated with body fat and positively correlated with aerobic fitness; c) Heart rate measures of physical activity did not correlate significantly with body fat or aerobic fitness; d) Meta-analytic procedures showed a small to moderate relationship between activity levels and body fat in children; e) The strength of this relationship was heavily dependent on the method used to assess activity levels. Observation methods produced an effect size significantly higher than questionnaire or heart rate methods, though not significantly different to motion counter methods. In conclusion it appears that heart rate methods are inappropriate for the assessment of habitual activity in children. The use of motion counters or observation methods for assessing activity are recommended. Motion counter methods are particularly appropriate for medium to large sample sizes.
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Books on the topic "Measurement of physical quantities"

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Ražnjević, Kuzman. Physical quantities and the units of the international system (SI). Begell House, 1995.

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Geometrization of physical quantities. Nova Science Publishers, 2009.

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Seeley, Ivor H. Civil engineering quantities. 5th ed. Macmillan Press, 1993.

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Seeley, Ivor H. Civil engineering quantities. 4th ed. Macmillan Education, 1987.

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Standardization, International Organization for. Quantities and units. 3rd ed. International Organization for Standardization, 1993.

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Cohen, E. Richard, Tom Cvitas, Jeremy G. Frey, et al., eds. Quantities, Units and Symbols in Physical Chemistry. Royal Society of Chemistry, 2007. http://dx.doi.org/10.1039/9781847557889.

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Uosukainen, Seppo. Properties of acoustic energy quantities. Valtion teknillinen tutkimuskeskus, 1989.

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Kulviecas, Liubomiras. On the problem of formation of physical quantities. [s.n.], 2002.

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Tanguy, Jean-Michel, ed. Physical Processes and Measurement Devices. John Wiley & Sons, Inc, 2010. http://dx.doi.org/10.1002/9781118558164.

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Ya, Khalili Farid, and Thorne Kip S, eds. Quantum measurement. Cambridge University Press, 1992.

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Book chapters on the topic "Measurement of physical quantities"

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Rupitsch, Stefan Johann. "Measurement of Physical Quantities and Process Measurement Technology." In Piezoelectric Sensors and Actuators. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57534-5_9.

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Husak, Miroslav, Adam Boura, and Vladimir Janicek. "Intelligent Sensor Network for Physical Quantities Measurement." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25905-0_67.

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Beltrametti, E. G. "Remarks on the Measurement of Discrete Physical Quantities." In NATO ASI Series. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-8771-8_17.

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Whitney, Hassler. "The Mathematics of Physical Quantities Part I: Mathematical Models for Measurement." In Hassler Whitney Collected Papers. Birkhäuser Boston, 1992. http://dx.doi.org/10.1007/978-1-4612-2974-2_36.

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Garcia, Narciso, and Arthur Damask. "Physical Quantities." In Physics for Computer Science Students. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-0421-0_1.

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Blackburn, James A. "Physical Quantities." In Modern Instrumentation for Scientists and Engineers. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0103-5_1.

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Basdevant, Jean-Louis. "Physical Quantities." In Lectures on Quantum Mechanics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43479-7_4.

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Garcia, Narciso, Arthur Damask, and Steven Schwarz. "Physical Quantities." In Physics for Computer Science Students. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1616-2_1.

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Seeley, Ivor H., and Roger Winfield. "Measurement Procedures." In Building Quantities Explained. Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-14653-6_2.

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El Hefni, Baligh, and Daniel Bouskela. "Averaged Physical Quantities." In Modeling and Simulation of Thermal Power Plants with ThermoSysPro. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05105-1_3.

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Conference papers on the topic "Measurement of physical quantities"

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"Measurement of physical quantities [breaker page]." In 2017 11th International Conference on Measurement. IEEE, 2017. http://dx.doi.org/10.23919/measurement.2017.7983534.

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"Measurement of Physical Quantities I." In 2019 12th International Conference on Measurement. IEEE, 2019. http://dx.doi.org/10.23919/measurement47340.2019.8779954.

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"Measurement of Physical Quantities - Posters." In 2019 12th International Conference on Measurement. IEEE, 2019. http://dx.doi.org/10.23919/measurement47340.2019.8780063.

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"Measurement of Physical Quantities II." In 2019 12th International Conference on Measurement. IEEE, 2019. http://dx.doi.org/10.23919/measurement47340.2019.8780098.

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"Measurement of Physical Quantities II." In 2021 13th International Conference on Measurement. IEEE, 2021. http://dx.doi.org/10.23919/measurement52780.2021.9446793.

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"Measurement of Physical Quantities III." In 2021 13th International Conference on Measurement. IEEE, 2021. http://dx.doi.org/10.23919/measurement52780.2021.9446764.

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"Measurement of Physical Quantities I." In 2021 13th International Conference on Measurement. IEEE, 2021. http://dx.doi.org/10.23919/measurement52780.2021.9446769.

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"Measurement of Physical Quantities - Posters I." In 2021 13th International Conference on Measurement. IEEE, 2021. http://dx.doi.org/10.23919/measurement52780.2021.9446814.

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"Measurement of Physical Quantities - Posters II." In 2021 13th International Conference on Measurement. IEEE, 2021. http://dx.doi.org/10.23919/measurement52780.2021.9446800.

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Hart'ansky, Rene, and Martin Mierka. "A New Method of Measuring the Physical Quantities." In 2019 12th International Conference on Measurement. IEEE, 2019. http://dx.doi.org/10.23919/measurement47340.2019.8779951.

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Reports on the topic "Measurement of physical quantities"

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Hetzel, Fred, Michael Patterson, Luther Preuss, and Brian Wilson. Recommended Nomenclature for Physical Quantities in Medical Applications of Light. AAPM, 1996. http://dx.doi.org/10.37206/56.

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Kuehne, Sven E. On the Representation of Physical Quantities in Natural Language Text. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada465872.

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Secrest, T. J., and A. K. Nicholls. The composition of a quad of buildings sector energy: Physical, economic, and environmental quantities. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6740199.

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Ripey, Mariya. NUMBERS IN THE NEWS TEXT (BASED ON MATERIAL OF ONE ISSUE OF NATIONWIDE NEWSPAPER “DAY”). Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.50.11106.

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The article is devoted to the analysis of the digital content of publications of one issue of the daily All-Ukrainian newspaper “Den” (March 13-14, 2020). The author aims to identify the main thematic groups of digital designations, as well as to consider cases of justified and unsuccessful use of digital designations. Applying the content analysis method, the author identifies publications that contain numerical notations, determines the number of such notations and their affiliation with the main subject groups. Finds that the thematic group of digital designations “time” (58.6% of all digital designations) is much more dominant. This indicates that timing is the most important task of a newspaper text. The second largest group of digital designations is “measure” (15.8% of all digital designations). It covers dimensions and proportions, measurements of distance, weight, volume, and more. The third largest group of digital signage is money (8.2% of all digital signage), the fourth is numbering (5.2% of all digital signage), and the fifth is people (4.4% of all digital signage). The author focuses on the fact that the digits of the journalist’s text are both a source of information and a catch for the reader. Vivid indicators give the text a sense of accuracy. When referring digital data to the text, journalists must adhere to certain rules for the writing of ordinal numbers with incremental graduation; submission of dates; pointing to unique integers that are combined (or not combined) with units of physical quantities, monetary units, etc.; writing a numerator at the beginning of a sentence; unified presentation of data. This will greatly facilitate the reader’s perception of the information.
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Kumar, S., M. P. Dudukovic, and B. A. Toseland. Measurement techniques for local and global fluid dynamic quantities in two and three phase systems. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/418984.

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Kumar, S., M. P. Dudukovic, and B. A. Toseland. Measurement techniques for local and global fluid dynamic quantities in two and three phase systems. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/665892.

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Lonergan, Charmayne E. Direct Feed Low-Activity Waste Physical Property and Analyte Measurement Reduction: Recommendations for Measurement Removal. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1526729.

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Gardener, J., T. Bergen, U. Krueger, and R. Young. CIE 198-SP2:2018 Determination of Measurement Uncertainties in Photometry Supplement 2: Spectral measurements and derivative quantities. International Commission on Illumination (CIE), 2018. http://dx.doi.org/10.25039/tr.198sp2.2018.

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Arzino, P. A., C. S. Caplan, and R. E. Goold. Physical fitness training reference manual for security force personnel at fuel cycle facilities possessing formula quantities of special nuclear materials. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5087672.

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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Abstract:
Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
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