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Journal articles on the topic 'Differential measurement'

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

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1

Er, Xinzhong. "Measurement of differential magnification." Monthly Notices of the Royal Astronomical Society 444, no. 3 (September 12, 2014): 2685–91. http://dx.doi.org/10.1093/mnras/stu1619.

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2

Reed, Chris, Charlotte A. Brumby, Leigh R. Crilley, Louisa J. Kramer, William J. Bloss, Paul W. Seakins, James D. Lee, and Lucy J. Carpenter. "HONO measurement by differential photolysis." Atmospheric Measurement Techniques 9, no. 6 (June 7, 2016): 2483–95. http://dx.doi.org/10.5194/amt-9-2483-2016.

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Abstract. Nitrous acid (HONO) has been quantitatively measured in situ by differential photolysis at 385 and 395 nm, and subsequent detection as nitric oxide (NO) by the chemiluminescence reaction with ozone (O3). The technique has been evaluated by Fourier transform infrared (FT-IR) spectroscopy to provide a direct HONO measurement in a simulation chamber and compared side by side with a long absorption path optical photometer (LOPAP) in the field. The NO–O3 chemiluminescence technique is robust, well characterized, and capable of sampling at low pressure, whilst solid-state converter technology allows for unattended in situ HONO measurements in combination with fast time resolution and response.
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3

Hamilton, D. Kirk. "Flexibility, Differential Obsolescence, and Measurement." HERD: Health Environments Research & Design Journal 4, no. 4 (July 2011): 109–13. http://dx.doi.org/10.1177/193758671100400408.

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4

Zhao, Weiqian, Ruoduan Sun, Lirong Qiu, and Dingguo Sha. "Laser differential confocal radius measurement." Optics Express 18, no. 3 (January 21, 2010): 2345. http://dx.doi.org/10.1364/oe.18.002345.

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5

Ismatullaev, P. R., V. G. Romanov, A. B. Grinval'd, and R. I. Saitov. "A differential humidity-measurement method." Measurement Techniques 32, no. 9 (September 1989): 929–32. http://dx.doi.org/10.1007/bf02112518.

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6

Qing Li, Qing Li, He Huang He Huang, Feng Lin Feng Lin, and Xingkun Wu Xingkun Wu. "Real-time measurement of nano-particle size using differential optical phase detection." Chinese Optics Letters 15, no. 12 (2017): 120602. http://dx.doi.org/10.3788/col201715.120602.

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7

Belostotski, L., and J. W. Haslett. "A Technique for Differential Noise Figure Measurement of Differential LNAs." IEEE Transactions on Instrumentation and Measurement 57, no. 7 (July 2008): 1298–303. http://dx.doi.org/10.1109/tim.2008.917673.

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8

Mohan, Rajeev, Heike Lorenz, and Allan S. Myerson. "Solubility Measurement Using Differential Scanning Calorimetry." Industrial & Engineering Chemistry Research 41, no. 19 (September 2002): 4854–62. http://dx.doi.org/10.1021/ie0200353.

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9

Nugent, William R. "Differential Validity in Social Work Measurement." Social Service Review 67, no. 4 (December 1993): 631–50. http://dx.doi.org/10.1086/604015.

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10

Wang, Yun, Lirong Qiu, Yanxing Song, and Weiqian Zhao. "Laser differential confocal lens thickness measurement." Measurement Science and Technology 23, no. 5 (April 4, 2012): 055204. http://dx.doi.org/10.1088/0957-0233/23/5/055204.

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11

Leitzke, Juliana P., Astrid Della Mea, Lisa-Marie Faller, Stephan Mühlbacher-Karrer, and Hubert Zangl. "Wireless differential pressure measurement for aircraft." Measurement 122 (July 2018): 459–65. http://dx.doi.org/10.1016/j.measurement.2017.12.042.

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12

Kettler, W. H., R. Wernhardt, and M. Rosenberg. "Differential ac method of thermopower measurement." Review of Scientific Instruments 57, no. 12 (December 1986): 3053–58. http://dx.doi.org/10.1063/1.1139195.

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13

Ding, W. X., D. L. Brower, B. H. Deng, and T. Yates. "Electron density measurement by differential interferometry." Review of Scientific Instruments 77, no. 10 (October 2006): 10F105. http://dx.doi.org/10.1063/1.2229217.

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14

Sun, Ruoduan, Lirong Qiu, Jiamiao Yang, and Weiqian Zhao. "Laser differential confocal radius measurement system." Applied Optics 51, no. 26 (September 5, 2012): 6275. http://dx.doi.org/10.1364/ao.51.006275.

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15

Pekár, Juraj, Zuzana Čičková, and Ivan Brezina. "Portfolio performance measurement using differential evolution." Central European Journal of Operations Research 24, no. 2 (April 22, 2015): 421–33. http://dx.doi.org/10.1007/s10100-015-0393-8.

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16

Roy, Richard J., Matthew Lebsock, Luis Millán, Robert Dengler, Raquel Rodriguez Monje, Jose V. Siles, and Ken B. Cooper. "Boundary-layer water vapor profiling using differential absorption radar." Atmospheric Measurement Techniques 11, no. 12 (December 6, 2018): 6511–23. http://dx.doi.org/10.5194/amt-11-6511-2018.

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Abstract. Remote sensing of water vapor in the presence of clouds and precipitation constitutes an important observational gap in the global observing system. We present ground-based measurements using a new radar instrument operating near the 183 GHz H2O line for profiling water vapor inside of planetary-boundary-layer clouds, and develop an error model and inversion algorithm for the profile retrieval. The measurement technique exploits the strong frequency dependence of the radar beam attenuation, or differential absorption, on the low-frequency flank of the water line in conjunction with the radar's ranging capability to acquire range-resolved humidity information. By comparing the measured differential absorption coefficient with a millimeter-wave propagation model, we retrieve humidity profiles with 200 m resolution and typical statistical uncertainty of 0.6 g m−3 out to around 2 km. This value for humidity uncertainty corresponds to measurements in the high-SNR (signal-to-noise ratio) limit, and is specific to the frequency band used. The measured spectral variation of the differential absorption coefficient shows good agreement with the model, supporting both the measurement method assumptions and the measurement error model. By performing the retrieval analysis on statistically independent data sets corresponding to the same observed scene, we demonstrate the reproducibility of the measurement. An important trade-off inherent to the measurement method between retrieved humidity precision and profile resolution is discussed.
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17

Gurin, V. K., V. O. Pavlovskyi, and O. M. Yurchenko. "FEATURES OF MEASUREMENT AND EFFECTIVE REDUCING OF CONDUCTIVE NOISE CAUSED BY TRANSISTOR CONVERTERS." Tekhnichna Elektrodynamika 2020, no. 6 (October 21, 2020): 32–35. http://dx.doi.org/10.15407/techned2020.06.032.

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The paper considers voltage converters as sources of conductive electromagnetic interference (EMI). Some features of the standard measurement method of converters EMI are considered and it is shown that it measures only the total level of noise, which can be the same at completely different relations between the differential and common components of EMI. This leads to inefficient use of means reducing the total converter noise to the permitted level, because the different ratio between the above components of this noise requires different means to reduce them. The paper proposes to supplement the standard noise measurement method by two additional measurements at frequencies where the total noise exceeds the permitted level, using during the first measurement the additional RFI common mode filter which effectively reduces only the common noise, and the additional RFI differential mode filter which effectively reduces only the differential noise during the second measurement. It is shown that these two additional measurements make it possible to determine the differential and common components of the total noise. This, in turn, makes it possible to reduce the total noise to the permitted level at the minimal cost. References 6.
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18

Su Zhaofeng, 苏兆锋, 杨海亮 Yang Hailiang, 邱孟通 Qiu Mengtong, 郭建明 Guo Jianming, 孙剑锋 Sun Jianfeng, 张鹏飞 Zhang Pengfei, 尹佳辉 Yin Jiahui, 孙江 Sun Jiang, and 周军 Zhou Jun. "Diode voltage measurement with differential absorption method." High Power Laser and Particle Beams 24, no. 5 (2012): 1217–20. http://dx.doi.org/10.3788/hplpb20122405.1217.

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19

Yang, Jiamiao, Lirong Qiu, Weiqian Zhao, and Hualing Wu. "Laser differential reflection-confocal focal-length measurement." Optics Express 20, no. 23 (November 2, 2012): 26027. http://dx.doi.org/10.1364/oe.20.026027.

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20

Zhao, Weiqian, Xin Zhang, Yun Wang, and Lirong Qiu. "Laser reflection differential confocal large-radius measurement." Applied Optics 54, no. 31 (October 29, 2015): 9308. http://dx.doi.org/10.1364/ao.54.009308.

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21

VanderWeele, Tyler J., and Yige Li. "Simple Sensitivity Analysis for Differential Measurement Error." American Journal of Epidemiology 188, no. 10 (May 30, 2019): 1823–29. http://dx.doi.org/10.1093/aje/kwz133.

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Abstract Sensitivity analysis results are given for differential measurement error of either the exposure or outcome. In the case of differential measurement error of the outcome, it is shown that the true effect of the exposure on the outcome on the risk ratio scale must be at least as large as the observed association between the exposure and the mismeasured outcome divided by the maximum strength of differential measurement error. This maximum strength of differential measurement error is itself assessed as the risk ratio of the controlled direct effect of the exposure on the mismeasured outcome not through the true outcome. In the case of differential measurement error of the exposure, under certain assumptions concerning classification probabilities, the true effect on the odds ratio scale of the exposure on the outcome must be at least as large as the observed odds ratio between the mismeasured exposure and the outcome divided by the maximum odds ratio of the effect of the outcome on mismeasured exposure conditional on the true exposure. The results can be immediately used to indicate the minimum strength of differential measurement error that would be needed to explain away an observed association between an exposure measurement and an outcome measurement for this to be solely due to measurement error.
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22

Alves, J. Maia, M. C. Brito, J. M. Serra, and A. M. Vallêra. "A differential mechanical profilometer for thickness measurement." Review of Scientific Instruments 75, no. 12 (December 2004): 5362–63. http://dx.doi.org/10.1063/1.1821627.

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23

Yang, Jiamiao, Lirong Qiu, Weiqian Zhao, Yang Shen, and Hongwei Jiang. "Laser differential confocal paraboloidal vertex radius measurement." Optics Letters 39, no. 4 (February 6, 2014): 830. http://dx.doi.org/10.1364/ol.39.000830.

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24

MacDonald, R. I., and R. Nychka. "Differential measurement technique for optical fibre sensors." Electronics Letters 27, no. 23 (1991): 2194. http://dx.doi.org/10.1049/el:19911357.

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25

Zhao, Weiqian, Yun Wang, Lirong Qiu, and Haorong Guo. "Laser differential confocal lens refractive index measurement." Applied Optics 50, no. 24 (August 15, 2011): 4769. http://dx.doi.org/10.1364/ao.50.004769.

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26

Lee, Tae Jin, Dongsoo Jung, and Joo-Hyung Kim. "Compressor Torque Calculation by Differential Pressure Measurement." Korean Journal of Air-Conditioning and Refrigeration Engineering 33, no. 7 (July 31, 2021): 342–49. http://dx.doi.org/10.6110/kjacr.2021.33.7.342.

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27

Wetzel, Eunike, and Benedikt Hell. "Gender-Related Differential Item Functioning in Vocational Interest Measurement." Journal of Individual Differences 34, no. 3 (August 1, 2013): 170–83. http://dx.doi.org/10.1027/1614-0001/a000112.

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Large mean differences are consistently found in the vocational interests of men and women. These differences may be attributable to real differences in the underlying traits. However, they may also depend on the properties of the instrument being used. It is conceivable that, in addition to the intended dimension, items assess a second dimension that differentially influences responses by men and women. This question is addressed in the present study by analyzing a widely used German interest inventory (Allgemeiner Interessen-Struktur-Test, AIST-R) regarding differential item functioning (DIF) using a DIF estimate in the framework of item response theory. Furthermore, the impact of DIF at the scale level is investigated using differential test functioning (DTF) analyses. Several items on the AIST-R’s scales showed significant DIF, especially on the Realistic, Social, and Enterprising scales. Removal of DIF items reduced gender differences on the Realistic scale, though gender differences on the Investigative, Artistic, and Social scales remained practically unchanged. Thus, responses to some AIST-R items appear to be influenced by a secondary dimension apart from the interest domain the items were intended to measure.
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28

Peng, Dong Lin, Xing Hong Zhang, and Xiao Kang Liu. "A Displacement Sensor Based on Differential Frequency Measurement." Key Engineering Materials 295-296 (October 2005): 319–24. http://dx.doi.org/10.4028/www.scientific.net/kem.295-296.319.

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For many reasons, the study of differential frequency measurement had disappeared for some years. This paper applies the differential frequency measurement previously used to measure transmission error to static differential frequency measurement. A new method called method of duality for gear and electric wave is proposed to explain the differential frequency measurement in a new way to discover its essence. A novel angular displacement sensor is designed. The composite error is ±17″ based on the static differential frequency measurement.
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29

Ge, Liang, Junxian Chen, Guiyun Tian, Wen Zeng, Qi Huang, and Ze Hu. "Study on a New Electromagnetic Flow Measurement Technology Based on Differential Correlation Detection." Sensors 20, no. 9 (April 28, 2020): 2489. http://dx.doi.org/10.3390/s20092489.

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Under the conditions of low flow rate and strong noise, the current electromagnetic flowmeter (EMF) cannot satisfy the requirement for measurement or separate the actual flow signal and interference signal accurately. Correlation detection technology can reduce the bandwidth and suppress noise effectively using the periodic transmission of signal and noise randomness. As for the problem that the current anti-interference technology cannot suppress noise effectively, the noise and interference of the electromagnetic flowmeter were analyzed in this paper, and a design of the electromagnetic flowmeter based on differential correlation detection was proposed. Then, in order to verify the feasibility of the electromagnetic flow measurement system based on differential correlation, an experimental platform for the comparison between standard flow and measured flow was established and a verification experiment was carried out under special conditions and with flow calibration measurements. Finally, the data obtained in the experiment were analyzed. The research result showed that an electromagnetic flowmeter based on differential correlation detection satisfies the need for measurement completely. The lower limit of the flow rate of the electromagnetic flowmeter based on the differential correlation principle could reach 0.084 m/s. Under strong external interferences, the electromagnetic flowmeter based on differential correlation had a fluctuation range in output value of only 10 mV. This shows that the electromagnetic flowmeter based on the differential correlation principle has unique advantages in measurements taken under the conditions of strong noise, slurry flow, and low flow rate.
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30

Wang, Zhong-Jie, Shu-Ying Yuan, Xuan Zhao, and Cheng-Chao Lu. "Differential evolution-based optimal placement of phase measurement unit considering measurement redundancy." International Journal of Modeling, Simulation, and Scientific Computing 06, no. 01 (March 2015): 1550016. http://dx.doi.org/10.1142/s1793962315500166.

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Phase measurement unit (PMU) is the key equipment for electric power system, which has been used to monitor and control power grid. But it is too expensive to deploy on each bus. So, we need to investigate how to deploy PMU to satisfy our observation requirements with minimum PMU numbers. This problem is called the optimal PMU placement (OPP). In this paper, we employ differential evolution (DE) algorithm to solve the OPP problem. Our optimization target is to make the power grid completely observable with maximum redundancy and minimum number of PMU. The proposed method is tested on IEEE 14-bus system, IEEE 30-bus system and IEEE 57-bus system respectively with considering the zero injection.
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31

Zhang, Peiyong, Qing Wan, Chenhui Feng, and Huiyan Wang. "Gate Capacitance Measurement Using a Self-Differential Charge-Based Capacitance Measurement Method." IEEE Electron Device Letters 36, no. 12 (December 2015): 1271–73. http://dx.doi.org/10.1109/led.2015.2490659.

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32

DrÄ…g, PaweĹ‚, Krystyn StyczeĹ„, and Konrad Matyja. "A CAMERA-BASED MEASUREMENT SYSTEM FOR OPTIMIZATION OF DIFFERENTIAL-ALGEBRAIC ECOTOXICOLOGICAL MODELS." CBU International Conference Proceedings 5 (September 24, 2017): 1078–82. http://dx.doi.org/10.12955/cbup.v5.1074.

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We present a general framework for measurements and optimization of differential-algebraic models. Moreover, we propose an application of the considered methodology in ecotoxicology. The differential-algebraic models can be used to describe different ecotoxicological relations. One of them is the influence of the environmental pollution on the Daphnia's movement characteristics. Changes in these characteristics can be used as a tool for assessment of neurotoxicity. The camera-based measurement and optimization system enable us to obtain the differential-algebraic ecotoxicological relations in a fully automated way.
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33

Wing, Michael G., Aaron Eklund, Sessions John, and Karsky Richard. "Horizontal Measurement Performance of Five Mapping-Grade Global Positioning System Receiver Configurations in Several Forested Settings." Western Journal of Applied Forestry 23, no. 3 (July 1, 2008): 166–71. http://dx.doi.org/10.1093/wjaf/23.3.166.

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Abstract We examined the horizontal measurement performance of five mapping-grade GPS receiver configurations operating simultaneously at three measurement test sites established in open sky, young forest, and closed canopy conditions. Two of the GPS receivers had external antennas, and two receivers were configured to collect data with real-time differential corrections through the Wide Area Augmentation System (WAAS). The GPS receivers collected data using 1-, 30-, and 60-point recording intervals to test the influence of the number of point recordings on position determination. We also postprocessed all data to examine the influence of differential corrections. We found statistically significant differences in measurement accuracy between GPS receiver configurations that had an external antenna and receivers that did not. The top performer for unprocessed data collected measurements with real-time differential corrections and had average measurement errors of 0.4, 0.8, and 2.2 m, in open sky, young forest, and closed canopy conditions, respectively. The top performer for postprocessed data had average measurement errors of 0.2, 0.1, and 1.2 m, in open sky, young forest, and closed canopy conditions, respectively. The influence of number of points on measurement accuracy was observed between the 1- and 30-point intervals, with no statistically significant differences between the 30- and 60-point intervals. No statistically significant difference resulted in WAAS measurements that were postprocessed. The measurement accuracies we report are acceptable for many natural resource measurement applications. These findings encourage the use of external antennas when using GPS receivers under forest canopy. In addition, point recording intervals of 30 appear to be efficient for accurate measurements with mapping-grade GPS receivers.
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34

Dong, Fang Dong, Zhi Jun Wang, Shao Lei Liang, and Guo Dong Wu. "Differential GPS Terminal Shooting Range Positioning System Design." Advanced Materials Research 706-708 (June 2013): 1136–39. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1136.

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According to the shortcomings of currently shooting range ballistic measuring method, the differential technique is applied in positioning system through analyzing the differential GPS technique to realize range ballistic high-precision measurements. This paper introduces the shooting range positioning system design and the realization of software terminal. This method overcomes the disadvantages of shooting range measurement .Positioning accuracy has indeed been improved through this way.
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35

Wang, Shun Jiang, Fang Dong, and Wei Hua Luo. "In-Depth Research Information Differential Method of Measurement." Applied Mechanics and Materials 713-715 (January 2015): 512–17. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.512.

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With the development of automation and communication technology, measurement information is widely used in various industrial, agricultural, commercial, and other living. At present, the problems exist in the accuracy and time synchronization of the measurement information. That brings the difficulty for data analysis and decision making. This paper starts from the existing measurement information, in-depth analyses the root cause, puts forward the measurement information of differential method, the effect of practical application in electric power system by measuring the differential method of information So as to determine the role of differential measurement method of information and promotion value, provide strong support for the rapid development of automation information technology.
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36

Beretvas, S. Natasha, and Cindy M. Walker. "Distinguishing Differential Testlet Functioning From Differential Bundle Functioning Using the Multilevel Measurement Model." Educational and Psychological Measurement 72, no. 2 (July 7, 2011): 200–223. http://dx.doi.org/10.1177/0013164411412768.

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37

MATSUSHITA, Takashi, and Toshiyuki TANAKA. "Improving Measurement Accuracy of Long Baseline Differential GPS." SICE Journal of Control, Measurement, and System Integration 3, no. 3 (2010): 157–63. http://dx.doi.org/10.9746/jcmsi.3.157.

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38

Xu, Hua. "Measurement Matrix Construction Based on Differential Evolution Algorithm." Applied Mechanics and Materials 644-650 (September 2014): 1007–10. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1007.

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Measurement matrix construction is important to compressed sensing. A novel method, MMC-DE (Measurement Matrix Construction based on Differential Evolution), is proposed in this paper. The matrix is based on the quasi-cyclic Low-Density Parity-Check (LDPC) code. This proposed method aims at constructing the quasi-cyclic matrix with the best girth during the optimization procedure. It can consequently result in improving the reconstruction performance of the measurement matrix for compressed sensing. Simulation results demonstrate that the proposed measurement matrix is better than the matrix of Tanner code and array code. It is also easy to implement and hardware friendly.
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39

GUO Jun-jie, 郭俊杰, 邱丽荣 QIU Li-rong, 王允 WANG Yun, 孟婕 MENG Jie, and 高党忠 GAO Dang-zhong. "Laser differential cofocal sensor for ICF capsule measurement." Optics and Precision Engineering 21, no. 3 (2013): 644–51. http://dx.doi.org/10.3788/ope.20132103.0644.

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40

Wang, Xiufang, Xiangyuan Guo, Yuan Wang, Chunlei Jiang, Jianguo Jiang, and Zihua Zhang. "All-fiber differential interferometer for nanometric displacement measurement." Optics Communications 475 (November 2020): 126283. http://dx.doi.org/10.1016/j.optcom.2020.126283.

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41

Karlsson, M. N. A., G. Frank, and B. G. Martinsson. "Measurement of the differential mobility analyser transfer function." Journal of Aerosol Science 31 (September 2000): 23–24. http://dx.doi.org/10.1016/s0021-8502(00)90029-6.

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42

Reneau, Jason, and Reza R. Adhami. "Differential Phase Measurement Accuracy of a Monobit Receiver." IEEE Access 6 (2018): 69672–81. http://dx.doi.org/10.1109/access.2018.2880431.

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43

Chandra, Satish, Hari Om Vats, and K. N. Iyer. "Differential rotation measurement of soft X-ray corona." Monthly Notices of the Royal Astronomical Society 407, no. 2 (July 5, 2010): 1108–15. http://dx.doi.org/10.1111/j.1365-2966.2010.16947.x.

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44

Bockelman, D. E., and W. R. Eisenstadt. "Direct measurement of crosstalk between integrated differential circuits." IEEE Transactions on Microwave Theory and Techniques 48, no. 8 (2000): 1410–13. http://dx.doi.org/10.1109/22.859489.

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45

Camirand, Christian P. "Measurement of thermal conductivity by differential scanning calorimetry." Thermochimica Acta 417, no. 1 (July 2004): 1–4. http://dx.doi.org/10.1016/j.tca.2003.12.023.

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46

Liu, F. F., and S. W. H. Chow. "Differential dielectric‐to‐density measurement for cryogenic fluids." Review of Scientific Instruments 58, no. 10 (October 1987): 1917–25. http://dx.doi.org/10.1063/1.1139489.

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47

Chen, Bor-Sen, Chao-Yi Hsieh, and Shih-Ju Ho. "System Entropy Measurement of Stochastic Partial Differential Systems." Entropy 18, no. 3 (March 18, 2016): 99. http://dx.doi.org/10.3390/e18030099.

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48

Davé, Digant P., and Thomas E. Milner. "Optical low-coherence reflectometer for differential phase measurement." Optics Letters 25, no. 4 (February 15, 2000): 227. http://dx.doi.org/10.1364/ol.25.000227.

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49

Meade, Adam W., and Scott Tonidandel. "Final Thoughts on Measurement Bias and Differential Prediction." Industrial and Organizational Psychology 3, no. 2 (June 2010): 232–37. http://dx.doi.org/10.1111/j.1754-9434.2010.01230.x.

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In the focal article, we suggested that more thought be given to the concepts of test bias, measurement bias, and differential prediction and the implicit framework of fairness underlying the Cleary model. In this response, we clarify the nature and scope of our recommendations and address some of the more critical comments of our work.
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50

Mohammed Shoeb, Syed, Eiichi Shimizu, and Takamitsu Yorifuji. "Differential Enzymatic Measurement of Agmatine, Putrescine, and Diguanidinobutane." Bioscience, Biotechnology, and Biochemistry 60, no. 1 (January 1996): 69–72. http://dx.doi.org/10.1271/bbb.60.69.

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