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Journal articles on the topic 'Large-scale measurement'

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Author: Grafiati

Published: 14 March 2023

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1

OZONO, Shigeo. "Special Issue on Measurement of Large Scale Dimension. Measurement of Large Scale Dimensions." Journal of the Japan Society for Precision Engineering 58, no. 5 (1992): 749–50. http://dx.doi.org/10.2493/jjspe.58.749.

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2

Okuyama, Eiki, and Masayuki Ito. "Combination of Double Scale Measurements for Large Scale Surface Profile Measurement." Applied Mechanics and Materials 870 (September 2017): 197–202. http://dx.doi.org/10.4028/www.scientific.net/amm.870.197.

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In the field of surface profile measurement, many software datums were proposed. When a measured surface profile is large, the number of sampling point becomes large. As the result, the influence of the random error becomes large. To decrease the error propagation, the concept of the division of the length datum is applied to the integration method for surface profile measurement. Analytical results and simulation show when integration method is used as the software datum for surface profile measurement, combination of the large scale integration method and short scale integration method is useful to decrease the error propagation.

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3

Bagnulo, Marcelo, Philip Eardley, Trevor Burbridge, Brian Trammell, and Rolf Winter. "Standardizing large-scale measurement platforms." ACM SIGCOMM Computer Communication Review 43, no. 2 (April 29, 2013): 58–63. http://dx.doi.org/10.1145/2479957.2479967.

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4

Zhang, G. X., J. W. Yao, Z. R. Qiu, W. C. Hu, F. Z. Fang, and X. H. Li. "Large-scale space angle measurement." CIRP Annals 57, no. 1 (2008): 525–28. http://dx.doi.org/10.1016/j.cirp.2008.03.122.

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5

O'ISHI, Tadanao. "Special Issue on Measurement of Large Scale Dimension. Length Standards for Large Scale Dimension Measurement." Journal of the Japan Society for Precision Engineering 58, no. 5 (1992): 751–54. http://dx.doi.org/10.2493/jjspe.58.751.

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6

Tröster, Tilman, Ariel G. Sánchez, Marika Asgari, Chris Blake, Martín Crocce, Catherine Heymans, Hendrik Hildebrandt, et al. "Cosmology from large-scale structure." Astronomy & Astrophysics 633 (January 2020): L10. http://dx.doi.org/10.1051/0004-6361/201936772.

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We reanalyse the anisotropic galaxy clustering measurement from the Baryon Oscillation Spectroscopic Survey (BOSS), demonstrating that using the full shape information provides cosmological constraints that are comparable to other low-redshift probes. We find Ωm = 0.317+0.015−0.019, σ8 = 0.710±0.049, and h = 0.704 ± 0.024 for flat ΛCDM cosmologies using uninformative priors on Ωch2, 100θMC, ln1010As, and ns, and a prior on Ωbh2 that is much wider than current constraints. We quantify the agreement between the Planck 2018 constraints from the cosmic microwave background and BOSS, finding the two data sets to be consistent within a flat ΛCDM cosmology using the Bayes factor as well as the prior-insensitive suspiciousness statistic. Combining two low-redshift probes, we jointly analyse the clustering of BOSS galaxies with weak lensing measurements from the Kilo-Degree Survey (KV450). The combination of BOSS and KV450 improves the measurement by up to 45%, constraining σ8 = 0.702 ± 0.029 and S8 = σ8 Ωm/0.3 = 0.728 ± 0.026. Over the full 5D parameter space, the odds in favour of a single cosmology describing galaxy clustering, lensing, and the cosmic microwave background are 7 ± 2. The suspiciousness statistic signals a 2.1 ± 0.3σ tension between the combined low-redshift probes and measurements from the cosmic microwave background.

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7

Sheng, Ying, Yukun Wang, Siwei Liu, Cuiping Wang, and Juntong Xi. "Large-Scale Measurement Layout Optimization Method Based on Laser Multilateration." Machines 10, no. 11 (October 28, 2022): 988. http://dx.doi.org/10.3390/machines10110988.

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Laser multilateration is a measurement method based on the distance intersection of multiple laser trackers which has been widely used in large-scale measurements. However, the layout of laser trackers has a great impact on the final measurement accuracy. In order to improve the overall measurement accuracy, firstly, a measurement uncertainty model based on laser multilateration is established. Secondly, a fast laser intersection detection constraint algorithm based on a k-DOPS bounding box and an adaptive target ball incident angle constraint detection algorithm are established for large-scale measurement scenes. Finally, the constrained layout optimization of the laser trackers is realized by using an improved cellular genetic algorithm. The results show that the optimized system layout can achieve the full coverage of measurement points and has higher measurement accuracy. Compared with the traditional genetic algorithm, the improved cellular genetic algorithm converges faster and obtains a better position layout.

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8

KATO, KENTARO. "Measurement Issues in Large-Scale Educational Assessment." Annual Report of Educational Psychology in Japan 55 (2016): 148–64. http://dx.doi.org/10.5926/arepj.55.148.

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9

Liu, Jiangchuan, Xinyan Zhang, Bo Li, Qian Zhang, and Wenwu Zhu. "Distributed distance measurement for large-scale networks." Computer Networks 41, no. 2 (February 2003): 177–92. http://dx.doi.org/10.1016/s1389-1286(02)00373-0.

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10

Paxson, V., J. Mahdavi, A. Adams, and M. Mathis. "An architecture for large scale Internet measurement." IEEE Communications Magazine 36, no. 8 (1998): 48–54. http://dx.doi.org/10.1109/35.707817.

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11

SETO, Takao. "Special Issue on Measurement of Large Scale Dimension. Method for Measurement of Large Scale Dimension using Field Surveying Instruments." Journal of the Japan Society for Precision Engineering 58, no. 5 (1992): 768–71. http://dx.doi.org/10.2493/jjspe.58.768.

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12

Vats, Hari Om. "Large-Scale Irregularities in the Interstellar Medium." International Astronomical Union Colloquium 120 (1989): 537. http://dx.doi.org/10.1017/s0252921100024374.

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The radio flux measurement of the compact extragalactic objects are known to show two types of variablity i.e. intrinsic and extrinsic. Some of the unusual minima in the flux measurement seem to involve large structures in the interstellar medium. In this article we outline a simple ray approach for simulation of these minima in the flux measurement. Simulation will help in estimating the physical parameters of these large scale irregularities or structures in the interstellar medium. Some preliminary results of the simulation will also be described.

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13

Wang, Wen, X. X. Li, and Zi Chen Chen. "A Planar Capacitive Sensor for Large Scale Measurement." Key Engineering Materials 381-382 (June 2008): 509–12. http://dx.doi.org/10.4028/www.scientific.net/kem.381-382.509.

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A planar capacitive sensor (PCS) is proposed for X and Y directions measurement. One axial displacement can be measured without the coupling of another axial movement. Two groups electrodes with 90 degree out-of-phase, forming triangle sine and triangle cosine wave, can be applied for direction detection and interpolation, aiming at high resolution. Simulation results show that proposed PCS is available for planar measurement.

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14

Liu Jie, 刘. 杰., 李. 华. Li Hua, and 付西红 Fu Xihong. "Measurement system of large-scale sleeve roundness error." Infrared and Laser Engineering 45, no. 1 (2016): 0117005. http://dx.doi.org/10.3788/irla201645.0117005.

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15

Liu Jie, 刘. 杰., 李. 华. Li Hua, and 付西红 Fu Xihong. "Measurement system of large-scale sleeve roundness error." Infrared and Laser Engineering 45, no. 1 (2016): 117005. http://dx.doi.org/10.3788/m0001820164501.117005.

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16

Sun, Shisheng, and Hui Zhang. "Large-Scale Measurement of Absolute Protein Glycosylation Stoichiometry." Analytical Chemistry 87, no. 13 (June 15, 2015): 6479–82. http://dx.doi.org/10.1021/acs.analchem.5b01679.

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17

SATO, Takashi, and Hideo FUJIE. "Special Issue on Measurement of Large Scale Dimension. Large Scale Dimensional Measuring Techniques in Machining." Journal of the Japan Society for Precision Engineering 58, no. 5 (1992): 759–63. http://dx.doi.org/10.2493/jjspe.58.759.

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18

Zhang, Chengyang, Xishuang Jing, Siyu Chen, Xuanzhe Ling, Jiarong Zou, and Gang Zhao. "Method of improving large-scale measurement accuracy of laser tracker based on photogrammetry." Measurement and Control 52, no. 9-10 (April 15, 2019): 1220–27. http://dx.doi.org/10.1177/0020294018813644.

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Background: When performing the spatial large-scale measurements, the measurement accuracy of laser tracker would decreased with the increase of the measurement distances due to the refraction difference of most optical digital measurement devices. Therefore, this paper proposed a method based on photogrammetry system to improve the large-scale measurement accuracy of the laser tracker. Purpose: The purpose of this method is to improve the large-scale measurement accuracy of the laser tracker by considering the advantages of photogrammetry system such as high measurement accuracy and good portability. Methods: The measurement data from the photogrammetry system would be used as a reference to do correction on measurement results from laser tracker. The coordinate correction method based on Rodrigues’ rotation formula has been discussed. The measurement accuracy of the long-distance point of laser tracker can be significantly improved through the coordinate correction method. Conclusion: Based on the advantages of using photogrammetry system, the proposed method can achieve higher accuracy when measuring the common points at a closer distance than the laser tracker can do when measuring objects far away from instrument. The feasibility of the proposed method has been demonstrated by experiment.

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19

Kim, Jeong-Woo. "Large Scale Mass Flow Measurement Using Bellmouth and Rake." Journal of the Korean Society of Propulsion Engineers 16, no. 4 (August 1, 2012): 70–79. http://dx.doi.org/10.6108/kspe.2012.16.4.070.

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20

Zhang Xuping, 张旭苹, 汪家其 Wang Jiaqi, 张益昕 Zhang Yixin, 王顺 Wang Shun, and 谢飞 Xie Fei. "Large-Scale Three-Dimensional Stereo Vision Geometric Measurement System." Acta Optica Sinica 32, no. 3 (2012): 0315002. http://dx.doi.org/10.3788/aos201232.0315002.

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21

SHI Jin-long, 史金龙, 钱强 QIAN Qiang, 庞林斌 PANG Lin-bin, 王直 WANG Zhi, and 白素琴 BAI Su-qin. "Three-dimensional measurement and registration for large scale plates." Optics and Precision Engineering 22, no. 5 (2014): 1165–70. http://dx.doi.org/10.3788/ope.20142205.1165.

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22

DONG Ming-li, 董明利, 许晓臣 XU Xiao-chen, 王君 WANG Jun, 孙鹏 SUN Peng, and 燕必希 YAN Bi-xi. "Parallel acceleration of large scale dynamic vision measurement system." Optics and Precision Engineering 23, no. 10 (2015): 2909–18. http://dx.doi.org/10.3788/ope.20152310.2909.

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23

XIAO Wen-jian, 肖文健, 马东玺 MA Dong-xi, 张勇 ZHANG Yong, and 陈志斌 CHEN Zhi-bin. "Large-scale spatial angle measurement based on inertial reference." Optics and Precision Engineering 24, no. 3 (2016): 560–65. http://dx.doi.org/10.3788/ope.20162403.0560.

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24

Lin, HE, MA Guolu, SONG Zijun, ZHAO Yong, ZENG Guoying, and RAO Jian. "Attitude combined measurement method in large-scale obstructed space." Journal of Applied Optics 43, no. 1 (2022): 95–99. http://dx.doi.org/10.5768/jao202243.0103004.

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25

JIANG, Zhi-Hong, Hui WANG, and Peng-Yi FAN. "Crawler-Based Measurement of Large Scale P2P IPTV Systems." Journal of Software 22, no. 6 (June 24, 2011): 1373–88. http://dx.doi.org/10.3724/sp.j.1001.2011.03849.

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26

Han Hee Song, Lili Qiu, and Yin Zhang. "NetQuest: A Flexible Framework for Large-Scale Network Measurement." IEEE/ACM Transactions on Networking 17, no. 1 (February 2009): 106–19. http://dx.doi.org/10.1109/tnet.2008.925635.

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27

Qian, Jing, Peide Weng, Jiarong Luo, Zhuomin Chen, and Yu Wu. "Measurement System in Large-Scale Superconducting Magnet Performance Test." IEEE Transactions on Applied Superconductivity 20, no. 5 (October 2010): 2312–16. http://dx.doi.org/10.1109/tasc.2010.2053925.

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28

Wang, Tien-Chin. "Performance Measurement and Benchmarking of Large-Scale Tourist Hotels." International Journal of Business and Economics Research 7, no. 4 (2018): 97. http://dx.doi.org/10.11648/j.ijber.20180704.13.

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29

Fang, Jun, Dingyuan Wu, and Siyuan Fan. "Large-scale park infrastructure comprehensive design coordination degree measurement." IOP Conference Series: Materials Science and Engineering 592 (September 10, 2019): 012111. http://dx.doi.org/10.1088/1757-899x/592/1/012111.

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30

Mondragon, R., A. Moore, J. Pitts, and J. Schormans. "Analysis, simulation and measurement in large-scale packet networks." IET Communications 3, no. 6 (2009): 887. http://dx.doi.org/10.1049/iet-com.2008.0111.

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31

Wu, Margaret. "Measurement, Sampling, and Equating Errors in Large-Scale Assessments." Educational Measurement: Issues and Practice 29, no. 4 (December 2010): 15–27. http://dx.doi.org/10.1111/j.1745-3992.2010.00190.x.

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32

Max Croft, F., and Roy T. Cantrell. "Performance measurement applied to large scale interactive computer systems." Computers & Industrial Engineering 12, no. 2 (January 1987): 117–29. http://dx.doi.org/10.1016/0360-8352(87)90005-2.

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33

Bjørge, T., and A. Bratseth. "Measurement of radiation heat flux from large scale flares." Journal of Hazardous Materials 46, no. 2-3 (April 1996): 159–68. http://dx.doi.org/10.1016/0304-3894(95)00067-4.

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34

Linek, V., P. Bene?, and V. Vacek. "Dynamic pressure method forkla measurement in large-scale bioreactors." Biotechnology and Bioengineering 33, no. 11 (May 1989): 1406–12. http://dx.doi.org/10.1002/bit.260331107.

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35

Keenan, Ryan C., Amy J. Barger, and Lennox L. Cowie. "Local Large-Scale Structure and the Assumption of Homogeneity." Proceedings of the International Astronomical Union 11, S308 (June 2014): 295–98. http://dx.doi.org/10.1017/s1743921316010024.

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AbstractOur recent estimates of galaxy counts and the luminosity density in the near-infrared (Keenan et al. 2010, 2012) indicated that the local universe may be under-dense on radial scales of several hundred megaparsecs. Such a large-scale local under-density could introduce significant biases in the measurement and interpretation of cosmological observables, such as the inferred effects of dark energy on the rate of expansion. In Keenan et al. (2013), we measured the K-band luminosity density as a function of distance from us to test for such a local under-density. We made this measurement over the redshift range 0.01 < z < 0.2 (radial distances D ~ 50 - 800 h70−1 Mpc). We found that the shape of the K-band luminosity function is relatively constant as a function of distance and environment. We derive a local (z < 0.07, D < 300 h70−1 Mpc) K-band luminosity density that agrees well with previously published studies. At z > 0.07, we measure an increasing luminosity density that by z ~ 0.1 rises to a value of ~ 1.5 times higher than that measured locally. This implies that the stellar mass density follows a similar trend. Assuming that the underlying dark matter distribution is traced by this luminous matter, this suggests that the local mass density may be lower than the global mass density of the universe at an amplitude and on a scale that is sufficient to introduce significant biases into the measurement of basic cosmological observables. At least one study has shown that an under-density of roughly this amplitude and scale could resolve the apparent tension between direct local measurements of the Hubble constant and those inferred by Planck team. Other theoretical studies have concluded that such an under-density could account for what looks like an accelerating expansion, even when no dark energy is present.

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36

HONDA, Toshio. "Special Issue on Measurement of Large Scale Dimension. Optical Measurement of Subaru Telescope." Journal of the Japan Society for Precision Engineering 58, no. 5 (1992): 781–84. http://dx.doi.org/10.2493/jjspe.58.781.

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37

Kun, Zhao, Xing Ying, Jie Xu, Yin Zhang, Yan Lei, and Xing Dong. "Rapid Double-Layer Identification Method of Multi-Relevant Bad Data in Large-Scale Power Grids." Applied Mechanics and Materials 672-674 (October 2014): 1294–300. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1294.

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Bad data detection and identification is an important part of state estimation. When the relevant bad data appears, however, there is residual pollution and residual submerged condition in currently available methods of bad data detection and identification. In view of the above problem, this article presents a double-layer bad data detection and identification technique. At first, it is based on regularization residual detection method (Rn detection method) to identify the suspect measurement sets. And then, it presents a fast search technique of interrelated suspect measurements to search interrelated measurements in all the suspect measurements of the entire power grid and produce interrelated suspect measurement sets. Furthermore, use double-layer identification method to fast identify the bad data in interrelated suspect measurement sets, in other words, identify all the bad data in entire power grid. At last, taking IEEE39 node power grid for example, this detection method of bad data is analyzed, the accuracy and effectiveness of this method is to be verified.

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38

HAYASHI, Koji. "Special Issue on Measurement of Large Scale Dimension. Large Sized Coordinate Measuring Machine." Journal of the Japan Society for Precision Engineering 58, no. 5 (1992): 772–75. http://dx.doi.org/10.2493/jjspe.58.772.

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39

Gusev, A. V., E. Majorana, V. N. Rudenko, and V. D. Yushkin. "Measurement of geophysical effects on the large-scale gravitational-wave interferometer." International Journal of Modern Physics D 29, no. 07 (May 2020): 2050050. http://dx.doi.org/10.1142/s0218271820500509.

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Geophysical application of large free-mass laser interferometers, which had been designed merely for the detection of gravitational radiation of an astrophysical nature, are considered. Despite the suspended mass-mirrors, these interferometers can be considered as two coordinate meters even at very low frequency ([Formula: see text][Formula: see text]Hz) are rather accurate two-coordinate distance meters. In this case, the measurement of geodynamic deformations looks like a parallel product of long-term observations dictated by the task of the blind search for gravitational waves (GW) of extraterrestrial origin. Compared to conventional laser strain meters, gravitational interferometers have the advantage of an increased absolute value of the deformation signal due to the 3–4[Formula: see text]km baseline. The magnitude of the tidal variations of the baseline is 150–200[Formula: see text]microns, leading to conceive the observation of the fine structure of geodynamic disturbances. This paper presents the results of processing geophysical measurements made on a Virgo interferometer during test (technical) series of observations in 2007–2009. The specific design of mass-mirrors suspensions in the Virgo gravitational interferometer also creates a unique possibility of separating gravitational and deformation perturbations through a recording mutual angular deviations of the suspensions of its central and end mirrors. It gives a measurement of the spatial derivative of the gravity acceleration along with the geoid of the Earth. In this mode, the physics of the interferometer is considered with estimates of the achievable sensitivity in the application to the classical problem of registration of oscillations of the inner Earth’s core.

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40

NOMURA, Takashi. "Special Issue on Measurement of Large Scale Dimension. On-machine Shape Measurements of Large Mirrors by Interferometric Methods." Journal of the Japan Society for Precision Engineering 58, no. 5 (1992): 755–58. http://dx.doi.org/10.2493/jjspe.58.755.

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41

Zhang Fumin, 张福民, 曲兴华 Qu Xinghua, 戴建芳 Dai Jianfang, and 叶声华 Ye Shenghua. "A Method of Precision Evaluation for Field Large-Scale Measurement." Acta Optica Sinica 28, no. 11 (2008): 2159–63. http://dx.doi.org/10.3788/aos20082811.2159.

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42

Ballereau, S., G. Fouin, and M. Pawlowski. "ADVANCEMENTS IN ULTRASOUND MEASUREMENT ON LARGE-SCALE SOLID ROCKET MOTORS." International Journal of Energetic Materials and Chemical Propulsion 6, no. 4 (2007): 483–99. http://dx.doi.org/10.1615/intjenergeticmaterialschemprop.v6.i4.50.

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43

Couloumy, Jeremy, Francois Colemard, and Gael Ducos. "'GREAT-DEPTH' ULTRASOUND MEASUREMENT ON LARGE-SCALE SOLID ROCKET MOTORS." International Journal of Energetic Materials and Chemical Propulsion 8, no. 2 (2009): 133–45. http://dx.doi.org/10.1615/intjenergeticmaterialschemprop.v8.i2.40.

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44

Zheng, Long Jiang, Xue Li, Ling Ling Qin, Hong Bin Chen, Xue Gao, and Rui Rong Yuan. "Study of Large Scale Measurement Method Based on Leapfrog Principle." Applied Mechanics and Materials 130-134 (October 2011): 1560–63. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.1560.

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At present，large scale and space coordinates measuring system with wide-range and high-precision has been widely used in modern manufacturing industry. In this paper, large scale measuring method based on leapfrog principle of flexible three coordinate measuring machine is described. The mathematical model of coordinate transformation is built and the general coordinate transformation formula after number of times leapfrogging is derived. The best positioning and each step of leapfrog are given.

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45

Zhinbin, Chen, Xiao Wenjian, Ma Dongxi, Liu Xianhong, Xiao Cheng, and Qin Mengze. "Technical progress and analysis on large-scale spatial angle measurement." Journal of Applied Optics 37, no. 3 (2016): 407–14. http://dx.doi.org/10.5768/jao201637.0303002.

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46

Xiaojun Hei, Chao Liang, Jian Liang, Yong Liu, and K. W. Ross. "A Measurement Study of a Large-Scale P2P IPTV System." IEEE Transactions on Multimedia 9, no. 8 (December 2007): 1672–87. http://dx.doi.org/10.1109/tmm.2007.907451.

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47

Bonvin, Camille, Lam Hui, and Enrique Gaztanaga. "Optimising the measurement of relativistic distortions in large-scale structure." Journal of Cosmology and Astroparticle Physics 2016, no. 08 (August 9, 2016): 021. http://dx.doi.org/10.1088/1475-7516/2016/08/021.

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48

Ding, Xiaoli, Richard Coleman, and J. Michael Rotter. "Technique for Precise Measurement of Large-Scale Silos and Tanks." Journal of Surveying Engineering 122, no. 1 (February 1996): 14–25. http://dx.doi.org/10.1061/(asce)0733-9453(1996)122:1(14).

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49

Buryak, Olga E., Andrei G. Doroshkevich, and Richard Fong. "Measurement of large- and superlarge-scale structures of the universe." Astrophysical Journal 434 (October 1994): 24. http://dx.doi.org/10.1086/174701.

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50

Peng, Xiang, Xiaoli Liu, Yongkai Yin, and Ameng Li. "Optical measurement network for large-scale and shell-like objects." Optics Letters 36, no. 2 (January 7, 2011): 157. http://dx.doi.org/10.1364/ol.36.000157.

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