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1

Judish, R. M. "Quality control of measurements—Measurement assurance." Proceedings of the IEEE 74, no. 1 (1986): 23–25. http://dx.doi.org/10.1109/proc.1986.13394.

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2

Service, F. J., P. C. O'Brien, and R. A. Rizza. "Measurements of Glucose Control." Diabetes Care 10, no. 2 (March 1, 1987): 225–37. http://dx.doi.org/10.2337/diacare.10.2.225.

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3

Paley, Derek A., and Artur Wolek. "Mobile Sensor Networks and Control: Adaptive Sampling of Spatiotemporal Processes." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (May 3, 2020): 91–114. http://dx.doi.org/10.1146/annurev-control-073119-090634.

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The control of mobile sensor networks uses sensor measurements to update a model of an unknown or estimated process, which in turn guides the collection of subsequent measurements—a feedback control framework called adaptive sampling. Applications for adaptive sampling exist in a wide range of settings, especially for unmanned or autonomous vehicles that can be deployed cheaply and in cooperative groups. The dynamics of mobile sensor platforms are often simplified to planar self-propelled particles subject to the ambient flow of the surrounding fluid. Sensor measurements are assimilated into continuous or discrete models of the process of interest, which in general can vary in space and time. The variability of the estimated process is one metric to score future candidate sampling trajectories, along with information- and uncertainty-based metrics. Sampling tasks are allocated to the network using centralized or decentralized optimization, in order to avoid redundant measurements and observational gaps.
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4

Tarczyński, Wiesław, and Ryszard Kopka. "Control Measurements at the Manufacturing of Metallic Products." Solid State Phenomena 180 (November 2011): 232–37. http://dx.doi.org/10.4028/www.scientific.net/ssp.180.232.

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This article presents the developed system for collecting, memorising and analysing of the measurements conducted in a production plant. It describes the algorithm of the software im-plemented on the control panel and managing the work of a single measurement cell. Moreover the procedure of collecting of the measurement results by two modes: automatically and manually and the procedure of estimating of product ratio quality. Mentioned are also the practices for controlling of the communication with the central computer as well as archiving of the collected measurement results.
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5

Brown, R. A., and J. Mandel. "Evaluation and Control of Measurements." Biometrics 50, no. 1 (March 1994): 313. http://dx.doi.org/10.2307/2533228.

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6

Marasinghe, Mervyn G., and John Mandel. "Evaluation and Control of Measurements." Journal of the American Statistical Association 89, no. 426 (June 1994): 720. http://dx.doi.org/10.2307/2290890.

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7

Rozum, Michael A. "Evaluation and Control of Measurements." Technometrics 35, no. 2 (May 1993): 223. http://dx.doi.org/10.1080/00401706.1993.10485048.

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8

Mandel, John, and James R. Matey. "Evaluation and Control of Measurements." Physics Today 45, no. 6 (June 1992): 82–83. http://dx.doi.org/10.1063/1.2809704.

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9

Gordon, P. "Control measurements of road lighting." Lighting Research & Technology 19, no. 4 (December 1987): 97–99. http://dx.doi.org/10.1177/096032718701900402.

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10

Nelson, Lloyd S. "Evaluation and Control of Measurements." Journal of Quality Technology 25, no. 3 (July 1993): 221–22. http://dx.doi.org/10.1080/00224065.1993.11979457.

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11

Gelbwaser-Klimovsky, D., N. Erez, R. Alicki, and G. Kurizki. "Can quantum control modify thermodynamic behavior?" Canadian Journal of Chemistry 92, no. 2 (February 2014): 160–67. http://dx.doi.org/10.1139/cjc-2013-0327.

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We review the effects of frequent, impulsive quantum nondemolition measurements of the energy of two-level systems, alias qubits, in contact with a thermal bath. The resulting entropy and temperature of the system subject to measurements at intervals below the bath memory (Markovianity) time are completely determined by the measurement rate. Namely, they are unrelated to what is expected by standard thermodynamical behavior that holds for Markovian baths. These anomalies allow for very fast control of heating, cooling, and state-purification (entropy reduction) of qubits, much sooner than their thermal equilibration time. We further show that frequent measurements may enable the extraction of work in a closed cycle from the system−bath interaction (correlation) energy, a hitherto unexploited work resource. They allow for work even if no information is gathered or the bath is at zero temperature, provided the cycle is within the bath memory time.
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12

Augustin, Alexandry, Louise Coutts, Lorenzo Zanisi, Anthony S. Wierzbicki, Francesco Shankar, Phil J. Chowienczyk, and Christopher N. Floyd. "Impact of Therapeutic Inertia on Long-Term Blood Pressure Control." Hypertension 77, no. 4 (April 2021): 1350–59. http://dx.doi.org/10.1161/hypertensionaha.120.15866.

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Antihypertensive drug treatment is based on stepped titration in response to elevated blood pressure (BP) measurements. However, measurements do not necessarily represent an individual’s true BP (due to random error and biological variability), and medications are not always increased when measurements are above target (therapeutic inertia). We developed a Monte Carlo model with a 10-year horizon to investigate how measurement error impacted systolic BP (SBP) control in the presence of therapeutic inertia. When SBP measurements were in the range 140 to 159 mm Hg, the probability of escalating treatment was determined by a Bernoulli probability mass function parameterized by weighting functions exploring distinct inertia profiles. Simulating inertia with the weighting function that approximated to clinical practice resulted in ≈50% of individuals failing to achieve their SBP target within the 10-year time horizon. An inverse relationship was observed between measurement error and SBP control. This suggests that the value of accurate SBP measurement is only realized if it changes the underlying probability of inertia—that is, patients/clinicians believe a measurement to be accurate and so are more likely to act upon it. Removal of inertia during treatment initiation (ie, stepped titration until SBP measurement was below target) improved true SBP control for all simulations. Our simulations show that the impact of therapeutic inertia during treatment initiation persists during long-term follow-up. Strategies to remove therapeutic inertia during treatment initiation (ie, dual antihypertensive therapy) are likely to improve long-term BP control irrespective of BP measurement technique.
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13

Achille, Alessandro, and Stefano Soatto. "A Separation Principle for Control in the Age of Deep Learning." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (May 28, 2018): 287–307. http://dx.doi.org/10.1146/annurev-control-060117-105140.

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We review the problem of defining and inferring a state for a control system based on complex, high-dimensional, highly uncertain measurement streams, such as videos. Such a state, or representation, should contain all and only the information needed for control and discount nuisance variability in the data. It should also have finite complexity, ideally modulated depending on available resources. This representation is what we want to store in memory in lieu of the data, as it separates the control task from the measurement process. For the trivial case with no dynamics, a representation can be inferred by minimizing the information bottleneck Lagrangian in a function class realized by deep neural networks. The resulting representation has much higher dimension than the data (already in the millions) but is smaller in the sense of information content, retaining only what is needed for the task. This process also yields representations that are invariant to nuisance factors and have maximally independent components. We extend these ideas to the dynamic case, where the representation is the posterior density of the task variable given the measurements up to the current time, which is in general much simpler than the prediction density maintained by the classical Bayesian filter. Again, this can be finitely parameterized using a deep neural network, and some applications are already beginning to emerge. No explicit assumption of Markovianity is needed; instead, complexity trades off approximation of an optimal representation, including the degree of Markovianity.
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14

Gnap, Jozef, Dominika Rovňaníková, and Marek Jaśkiewicz. "Temperature Control for Regional Transport." LOGI – Scientific Journal on Transport and Logistics 8, no. 2 (November 1, 2017): 81–89. http://dx.doi.org/10.1515/logi-2017-0019.

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Abstract The introduction of this article outlines the terms and conditions of food control in the Slovak Republic and the institutions that provide it. This section also provides the comparison of inspection results in selected periods. The second part of the paper describes the measurement of the regional transport of perishable food products. The measurement compares all permitted temperature tolerances and is subsequently evaluated. The results of the measurements are also compared with the analysis of the number of checks carried out.
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15

Todaka, Takashi, Takeru Sato, Seiji Ishikawa, Yoshitaka Maeda, and Masato Enokizono. "Improvements of Feedback Control Algorism in Two-Dimensional Vector Magnetic Property Measurements." Materials Science Forum 670 (December 2010): 327–35. http://dx.doi.org/10.4028/www.scientific.net/msf.670.327.

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This paper presents comparison of feedback control algorisms of magnetic flux conditions in two-dimensional vector magnetic property measurements under high magnetic field over 1.6 T. In order to develop a fast measurement algorism, several PID feedback control methods were tested. The results show that the proportion-derivative precedence type (I-PD) control is suitable for reduction of measurement times in vector magnetic property measurements.
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16

Marzo, Aitor, Jesús Ballestrín, Joaquín Alonso-Montesinos, Pablo Ferrada, Jesús Polo, Gabriel López, and Javier Barbero. "Field Quality Control of Spectral Solar Irradiance Measurements by Comparison with Broadband Measurements." Sustainability 13, no. 19 (September 24, 2021): 10585. http://dx.doi.org/10.3390/su131910585.

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Measurement of solar spectral irradiance is required in an increasingly wide variety of technical applications, such as atmospheric studies, health, and solar energy, among others. The solar spectral irradiance at ground level has a strong dependence on many atmospheric parameters. In addition, spectroradiometer optics and detectors have high sensitivity. Because of this, it is necessary to compare with a reference instrumentation or light source to verify the quality of measurements. A simple and realistic test for validating solar spectral irradiance measurements is presented in this study. This methodology is applicable for a specific spectral range inside the broadband range from 280 to 4000 nm under cloudless sky conditions. The method compares solar spectral irradiance measurements with both predictions of clear-sky solar spectral irradiance and measurements of broadband instruments such as pyrheliometers. For the spectral estimation, a free atmospheric transmittance simulation code with the air mass calculation as the mean parameter was used. The spectral direct normal irradiance (Gbλ) measurements of two different spectroradiometers were tested at Plataforma Solar de Almería, Spain. The results are presented in this article. Although only Gbλ measurements were considered in this study, the same methodology can be applied to the other solar irradiance components.
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17

Kopp, Vadim, Alexey Balakin, Natalya Balakina, and Mikhail Zamoryonov. "Analysis of the execution time of multi-stage control operations with multiple measurements." MATEC Web of Conferences 224 (2018): 04021. http://dx.doi.org/10.1051/matecconf/201822404021.

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Questions related to the management of the process of multiple measurements are considered, depending on the result, which affects their number. In this case, the measurement time can be significantly increased. The above algorithm for controlling the measurement process justifies the random nature of the duration of its execution, which entails the need to study the time of carrying out multiple measurements. The paper constructs a semi-Markov model that allows to determine the distribution functions of time between events in the output flow of products after measurements, which makes it possible to dock this model with models of elements of higher levels of the hierarchy of the production structure. In the model, it is taken into account that some part of the production after a given number of measurements is defective and leaves the system. The constructed semi-Markov model allows to predict the performance of a technical system associated with multiple measurements.
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18

Zaczek-Peplinska, Janina. "METHODOLOGICAL BASIS OF CONTROL NETWORK MODERNISATION IN HUGE HYDROTECHNICAL STRUCTURES." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 1 (June 18, 2005): 302. http://dx.doi.org/10.17770/etr2005vol1.2157.

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Water dams are typical structures which require cyclic and in some cases, permanent control of their conditions. Most of the Polish damming structures are more than fifty years old and funds assigned for their renovation and effective conservation are being continuously reduced. Therefore, it is vital to improve the control of those structures.Cyclic geodetic measurements of movements are obligatory elements of control measurement schedule and are important for evaluation of damming structures security. Complex modernisation of geodetic network for movement examination consists of many actions, which goals are:- Reactivating devastated network structure,- Modernisation of geodetic process of structures movements determination (concerning steps: measurements and data elaborating),- Enhancing the accuracy of geodetic measurements,Increasing a credibility of the movement measurements results.
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19

Asinovsky, Leo, and Larry E. Frisa. "Control of PVD TiN thickness measurements." Microelectronic Engineering 37-38 (November 1997): 427–32. http://dx.doi.org/10.1016/s0167-9317(97)00142-1.

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20

Zähringer, M. "Quality Control of Environmental Radioactivity Measurements." Radiation Protection Dosimetry 50, no. 2-4 (December 1, 1993): 301–6. http://dx.doi.org/10.1093/rpd/50.2-4.301.

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21

GREGOR, ROBERT J., and THOMAS A. ABELEW. "Tendon force measurements and movement control." Medicine & Science in Sports & Exercise 26, no. 11 (November 1994): 1359???1372. http://dx.doi.org/10.1249/00005768-199411000-00011.

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22

Mandl, A., J. A. Russell, and L. Litzenberger. "XeF(C‐A) bandwidth control measurements." Journal of Applied Physics 71, no. 4 (February 15, 1992): 1606–9. http://dx.doi.org/10.1063/1.351216.

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23

Jiang, Chun-Yan, Min Li, and Man-Hong Tan. "Clostridium difficileinfection: epidemiology and control measurements." World Chinese Journal of Digestology 18, no. 34 (2010): 3667. http://dx.doi.org/10.11569/wcjd.v18.i34.3667.

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24

Cohen, Robert L. "Intensity measurements for interior noise control." Journal of the Acoustical Society of America 83, S1 (May 1988): S12. http://dx.doi.org/10.1121/1.2025207.

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25

Erez, Noam, Goren Gordon, Mathias Nest, and Gershon Kurizki. "Thermodynamic control by frequent quantum measurements." Nature 452, no. 7188 (April 2008): 724–27. http://dx.doi.org/10.1038/nature06873.

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26

Bhargava, B. "Arc furnace flicker measurements and control." IEEE Transactions on Power Delivery 8, no. 1 (1993): 400–410. http://dx.doi.org/10.1109/61.180362.

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27

Vershinina, L. P., and M. I. Vershinin. "Soft measurements in technological processes control." Journal of Physics: Conference Series 1515 (April 2020): 052023. http://dx.doi.org/10.1088/1742-6596/1515/5/052023.

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28

Gilden, Janice L. "COMMENTARY ON MEASUREMENTS OF GLYCEMIC CONTROL." Endocrine Practice 24, no. 1 (January 2018): 121–23. http://dx.doi.org/10.4158/ep-2017-0150.

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29

Onishchenko, A. M., and Yu A. Onishchenko. "Increasing confidence in measurements and control." Measurement Techniques 39, no. 4 (April 1996): 360–65. http://dx.doi.org/10.1007/bf02374532.

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30

Nuño, Emmanuel, Luis Basañez, Guillermo Obregón-Pulido, and Gualberto Solís-Perales. "Bilateral Teleoperation Control Without Velocity Measurements." IFAC Proceedings Volumes 44, no. 1 (January 2011): 332–37. http://dx.doi.org/10.3182/20110828-6-it-1002.02615.

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31

Brudka, M., and A. Pacut. "Intelligent robot control using ultrasonic measurements." IEEE Transactions on Instrumentation and Measurement 51, no. 3 (June 2002): 454–59. http://dx.doi.org/10.1109/tim.2002.1017715.

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32

Zähringer, M. "Quality Control of Environmental Radioactivity Measurements." Radiation Protection Dosimetry 50, no. 2-4 (December 1, 1993): 301–6. http://dx.doi.org/10.1093/oxfordjournals.rpd.a082102.

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33

Badenhorst, Wessel M. "Fair Value Measurements of Control Premiums." Accounting Perspectives 13, no. 3 (September 2014): 173–88. http://dx.doi.org/10.1111/1911-3838.12030.

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34

Zemel'man, M. A. "Measurements in product quality-control tests." Measurement Techniques 31, no. 4 (April 1988): 305–7. http://dx.doi.org/10.1007/bf00865623.

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35

Cao, Ming, Changbin Yu, and Brian D. O. Anderson. "Formation control using range-only measurements." Automatica 47, no. 4 (April 2011): 776–81. http://dx.doi.org/10.1016/j.automatica.2011.01.067.

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36

Golz, Claudia, Thomas Einfalt, Marco Gabella, and Urs Germann. "Quality control algorithms for rainfall measurements." Atmospheric Research 77, no. 1-4 (September 2005): 247–55. http://dx.doi.org/10.1016/j.atmosres.2004.10.027.

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37

Bassey, Christopher E., and Cynthia A. Siguenza. "Refractometry Measurements for Industrial Quality Control." Biophysical Journal 98, no. 3 (January 2010): 408a. http://dx.doi.org/10.1016/j.bpj.2009.12.2200.

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38

Shtraus, V. D., and A. V. Kalpin'sh. "Nondestructive dielectric measurements in quality control." Measurement Techniques 35, no. 8 (August 1992): 975–78. http://dx.doi.org/10.1007/bf00977448.

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39

Chakrabarty, Aditi, S. Mohapatra, R. M. Tripathi, V. D. Puranik, and H. S. Kushwaha. "Quality control of uranium concentration measurements." Accreditation and Quality Assurance 15, no. 2 (June 24, 2009): 119–23. http://dx.doi.org/10.1007/s00769-009-0550-7.

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40

Westgard, James O., and Sten A. Westgard. "Establishing Evidence-Based Statistical Quality Control Practices." American Journal of Clinical Pathology 151, no. 4 (December 5, 2018): 364–70. http://dx.doi.org/10.1093/ajcp/aqy158.

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AbstractObjectivesTo establish an objective, scientific, evidence-based process for planning statistical quality control (SQC) procedures based on quality required for a test, precision and bias observed for a measurement procedure, probabilities of error detection and false rejection for different control rules and numbers of control measurements, and frequency of QC events (or run size) to minimize patient risk.MethodsA Sigma-Metric Run Size Nomogram and Power Function Graphs have been used to guide the selection of control rules, numbers of control measurements, and frequency of QC events (or patient run size).ResultsA tabular summary is provided by a Sigma-Metric Run Size Matrix, with a graphical summary of Westgard Sigma Rules with Run Sizes.ConclusionMedical laboratories can plan evidence-based SQC practices using simple tools that relate the Sigma-Metric of a testing process to the control rules, number of control measurements, and run size (or frequency of QC events).
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41

Poniatowska, Małgorzata. "Parameters for CMM Contact Measurements of Free-Form Surfaces." Metrology and Measurement Systems 18, no. 2 (January 1, 2011): 199–208. http://dx.doi.org/10.2478/v10178-011-0003-z.

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Parameters for CMM Contact Measurements of Free-Form SurfacesObtaining discrete data is inseparably connected with losing information on surface properties. In contact measurements, the ball tip functions as a mechanical-geometrical filter. In coordinate measurements the coordinates of the measurement points of a discrete distribution on the measured surface are obtained. Surface geometric deviations are represented by a set of local deviations, i.e. deviations of measurement points from the nominal surface (the CAD model), determined in a direction normal to this surface. The results of measurements depend both on the ball tip diameter and the grid size of measurement points. This article presents findings on the influence of the ball tip diameter and the grid size on coordinate measurement results along with the experimental results of measurement of a free-form milled surface, in order to determine its local geometric deviations. One section of the surface under research was measured using different measurement parameters. The whole surface was also scanned with different parameters, observing the rule of selecting the tip diameterdand the sampling intervalTin the ratio of 2:1.
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42

Ivashina, Alexander, Andrey Adoshev, Sergey Antonov, and Valery Zhdanov. "Graduation technique for vibration flow device for grain mass moisture control." BIO Web of Conferences 37 (2021): 00099. http://dx.doi.org/10.1051/bioconf/20213700099.

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The article shows that sampling of grain while controlling the moisture content is carried out in accordance with the current recommendations and standards. The mass of a sample should be sufficient to form 10-15 samples with uniformly distributed moisture values with an interval of no more than 3-4% in the measurement range of a vibration-flow moisture meter. Determination of grain moisture is carried out by the thermogravimetric method using a drying oven as a standard in the following sequence. Measurements with a moisture meter are taken at least three times. For the final measurement result, the average value α of the moisture meter readings from a series of successive measurements is taken. The range in a series of measurements should not exceed 0.05α; otherwise the measurements are repeated. The moisture measurement results and the corresponding readings of the device are entered in the appropriate table. When constructing graduation curves, a correlation-regression analysis of the measurement results is carried out, which is as follows. A correlation field is constructed - a graphical representation of the relationship between the moisture values of the material Wi and the readings of the moisture meter αi. If the analysis is performed correctly, the theoretical regression line plotted on the correlation field should be located as close as possible to the experimental measurement points. The basic error of the vibration-flow moisture meter, obtained as a result of the calculation, should not exceed the permissible value. Otherwise, the graduation of the moisture meter is repeated.
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43

Gryshanova, Іryna. "ULTRASONIC MEASUREMENT TECHNOLOGY IN AUTOMATED CONTROL OF WATER RESOURCES." Bulletin of Kyiv Polytechnic Institute. Series Instrument Making, no. 62(2) (December 24, 2021): 37–41. http://dx.doi.org/10.20535/1970.62(2).2021.249193.

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Control of water resources is becoming an important strategic issue. That is why authorities set the goal for wa-ter agencies to manage the availability of water and create regulations to its rational use. The main point in water control is measurement. There are three important aspects of measurements of water resources: at water extraction from nature, at the consumption and at custody transfer. Control of water consumption sometimes is based not on measurements, but on preliminary estimation, for example, by pumping. Ultrasonic measurement technology as a key feature of automated control of resources has a potential role in this market. In contrast to mechanical (turbine) meters, ultrasonic meters have a priority because they also give a possibility to realize smart metering. In contrast to electromagnetic meters, which also measure with high accuracy and realize smart functions, ultrasonic meters much more suitable for rough water, wastewater and sewage. Such water resources are usually poorly controlled, which means that no one knows their exact cost. Measurement is mandatory to control cost and for billing. Accuracy is important issue, especially when we say about measurements in large pipe diameters. There is practically no alternative to ultrasonic flow meters. Market of diverse meters concentrated on diameters under 400 mm. For larger diameters, only ultrasonic meters are in use. They have many chords, difficult algorithms for data processing. Thus, they are applicable over a very wide flow range. In this paper, we discover transit-time ultrasonic flow meters to understand features of their measurement theory taking into account all factors affecting their work. This article describes errors inherent in these flowmeters during measurements. As far as accuracy is significantly important in billing, the cost of 1% measurement error in consumption of water resources for small (DN50÷DN150 mm) and large (DN200÷DN1200 mm) pipe diameters has been evaluated and analyzed. The losses from the installation of low-quality metering devices are demonstrated and discussed.
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44

Lacour, C., and M. Schütze. "Real-time control of sewer systems using turbidity measurements." Water Science and Technology 63, no. 11 (June 1, 2011): 2628–32. http://dx.doi.org/10.2166/wst.2011.159.

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Real-time control (RTC) of urban drainage systems has been proven useful as a means to reduce pollution by combined sewer overflow discharges. So far, RTC has been investigated mainly with a sole focus on water quantity aspects. However, as measurement techniques for pollution of wastewater are advancing, pollution-based RTC might be of increasing interest. For example, turbidity data sets from an extensive measurement programme in two Paris catchments allow a detailed investigation of the benefits of using pollution-based data for RTC. This paper exemplifies this, comparing pollution-based RTC with flow-based RTC. Results suggest that pollution-based RTC indeed has some potential, particularly when measurements of water-quality characteristics are readily available.
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45

Gąska, Adam, Piotr Gąska, Maciej Gruza, and Jerzy Sładek. "Selection of Optimal Path Control Algorithms for Probe Heads Used on Five-Axis Measuring Systems." Applied Sciences 8, no. 12 (December 2, 2018): 2455. http://dx.doi.org/10.3390/app8122455.

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The utilization of rotational movements of a probing system during points measurementscontributes to the reduction of measurement duration and increases measurement repeatability.However, knowledge on such behavior and accuracy of probing systems is still unsatisfactory.Machines combined with articulating probing systems that have the ability of continuous indexationbecome redundant systems, which means that the same points can be measured using almost infinitemutual configurations of the machine and probe stylus orientations. Therefore, the proper selectionof inspection path planning method becomes one of the main factors affecting the accuracy of themeasurement. It is possible to assess the impact of this factor on the accuracy of the measurementby comparing the results of the measurements of gauge elements, which are done using differentpath controlling algorithms. After that, the best method for basic measuring tasks can be chosenin order to reduce measurement errors. Measurements of the multi-feature check gauge, using thedefault method for path planning and those chosen on the basis of described experiments, indicatesthat the improvement of accuracy may reach several microns. Results presented in this paper can bedirectly transferred to similar systems and measuring tasks, which are commonly met in industrialand scientific practice.
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46

Powell, J. David. "Engine Control Using Cylinder Pressure: Past, Present, and Future." Journal of Dynamic Systems, Measurement, and Control 115, no. 2B (June 1, 1993): 343–50. http://dx.doi.org/10.1115/1.2899074.

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Research into the use of cylinder pressure measurements from reciprocating internal combustion engines for real time automotive engine control has been investigated for the last 20 years. The measurement has been investigated for spark timing, fuel-air ratio control, charge temperature measurements, and misfire detection. The cost of the sensors has inhibited widespread use in production vehicles; however, it was introduced in domestic Japanese production for spark control five years ago. Its use for misfire detection is also being actively considered.
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47

Jiang, Shun, and Huajing Fang. "Fault-Tolerant Control for Networked Control Systems with Imperfect Measurements*." IFAC Proceedings Volumes 45, no. 20 (January 2012): 1329–34. http://dx.doi.org/10.3182/20120829-3-mx-2028.00018.

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48

Varutti, P., and R. Findeisen. "Predictive Control of Nonlinear Chemical Processes under Asynchronous Measurements and Controls." IFAC Proceedings Volumes 42, no. 11 (2009): 153–58. http://dx.doi.org/10.3182/20090712-4-tr-2008.00022.

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49

Wilhoit, J. H., L. J. Kutz, and W. A. Vandier. "Machine Vision System for Quality Control Assessment of Bareroot Pine Seedlings." Southern Journal of Applied Forestry 21, no. 2 (May 1, 1997): 90–96. http://dx.doi.org/10.1093/sjaf/21.2.90.

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Abstract:
Abstract A PC-based multiple camera machine vision system for measuring bareroot pine seedlings has been developed for operational data collection in a forest nursery. The system was used for quality control sampling in a forest nursery for 2 lifting seasons. In tests conducted during the first lifting season measuring 100 loblolly pine (Pinus taeda L.) seedlings, there was only moderate correlation on a seedling-by-seedling basis between manual measurements made by nursery personnel and machine vision measurements of root collar diameter, shoot height, and tap root length. Overall machine vision and manual measurement distribution results for seedling samples were in close agreement, however. A bud tip height measurement routine was added to the system after the first lifting season, and a second set of tests was conducted measuring 175 history plot seedlings. In these tests, manual measurements made by researchers correlated well with machine vision measurements of root collar diameter and tap root length. Overall sample distribution results were also in close agreement for root collar diameter, tap root length, and bud tip height. With the machine vision system, seedling samples can be measured by 1 person in approximately the same or less time than it takes 2 people to measure them manually. South. J. Appl. For. 21(2):90-96.
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50

Shahar, L., and G. Even-Tzur. "Extraction of the deterministic ingredient of a dynamic geodetic control network." Journal of Geodetic Science 2, no. 1 (January 1, 2012): 68–75. http://dx.doi.org/10.2478/v10156-011-0027-6.

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Abstract:
Extraction of the deterministic ingredient of a dynamic geodetic control networkA minimum constraints solution, which resolves the datum defect of a control network, is an arbitrary solution that may result in a systematic error in the estimation of the deformation parameters. This error is not derived from measurements and is usually inconsistent with the geophysical reality. A free network is affected only by errors of measurement and, therefore, a free network is an accepted way of coping with this problem. Study of deformations, which is based on the use of geodetic measurements, is usually performed today by defining a kinematic model. Such a model, when used to describe a complex geophysical environment, can lead to the partial estimation of the deterministic dynamics, which characterize the entire network. These dynamics are themselves expressed in measurements, as the adjustment systems' residuals. The current paper presents an extension of the definition of the parameters that are revalued. This extension enables the cleaning of measurements by means of the extraction of datum elements that have been defined by geodetic measurement. This cleaning minimizes the effects of these elements on the revaluated deformation. The proposed algorithm may be applied to achieve the simultaneous estimation of the physical parameters that define the geophysical activity in the network.
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