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Relevant bibliographies by topics / Interpolator testing

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Journal articles

Academic literature on the topic 'Interpolator testing'

Author: Grafiati

Published: 11 March 2023

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Journal articles on the topic "Interpolator testing"

1

Petráček, Petr, Petr Fojtů, Tomáš Kozlok, and Matěj Sulitka. "Effect of CNC Interpolator Parameter Settings on Toolpath Precision and Quality in Corner Neighborhoods." Applied Sciences 12, no. 19 (2022): 9496. http://dx.doi.org/10.3390/app12199496.

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Surface quality, machining time, and precision of the final workpiece are key criteria of optimization in CNC machining. These criteria are influenced by multiple factors, such as path interpolation, feed drive system settings, machine dynamics, and the manufacturing process. The properties of the output of the interpolator indirectly influence all subsequent phases of the machining process, thus influencing the quality of the end product. This paper focuses on the effects of interpolator settings on toolpath quality and precision in corner neighborhoods for the commercial Heidenhain iTNC inte

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2

Dutra e Silva Júnior, Élvio Carlos, Leandro Soares Indrusiak, Weiler Alves Finamore, and Manfred Glesner. "A Programmable Look-Up Table-Based Interpolator with Nonuniform Sampling Scheme." International Journal of Reconfigurable Computing 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/647805.

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Interpolation is a useful technique for storage of complex functions on limited memory space: some few sampling values are stored on a memory bank, and the function values in between are calculated by interpolation. This paper presents a programmable Look-Up Table-based interpolator, which uses a reconfigurable nonuniform sampling scheme: the sampled points are not uniformly spaced. Their distribution can also be reconfigured to minimize the approximation error on specific portions of the interpolated function’s domain. Switching from one set of configuration parameters to another set, selecte

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3

Liu, Yu, and Jie Liu. "Chord Error Closed-Loop Controlled NURBS Interpolator and Trajectory Planning." Applied Mechanics and Materials 16-19 (October 2009): 925–29. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.925.

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Focusing on the problem of NURBS curve interpolation in high speed manufacture, a new trajectory planning algorithm, which is suitable for chord error closed loop controlled interpolator is proposed. This tragjectory can determine accelerating, decelerating or maintenance last velocity in the next period via judging the braking distance. By the way of testing different calculating time under different CPU core, the real-time characteristic is validated. The simulation shows that chord error closed loop interpolator can automatically adjust the velocity to satisfying the precision demand, throu

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4

Rodriguez-Perez, Daniel, and Noela Sanchez-Carnero. "Multigrid/Multiresolution Interpolation: Reducing Oversmoothing and Other Sampling Effects." Geomatics 2, no. 3 (2022): 236–53. http://dx.doi.org/10.3390/geomatics2030014.

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Traditional interpolation methods, such as IDW, kriging, radial basis functions, and regularized splines, are commonly used to generate digital elevation models (DEM). All of these methods have strong statistical and analytical foundations (such as the assumption of randomly distributed data points from a gaussian correlated stochastic surface); however, when data are acquired non-homogeneously (e.g., along transects) all of them show over/under-smoothing of the interpolated surface depending on local point density. As a result, actual information is lost in high point density areas (caused by

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Evangelista, Ivan Roy S., Lenmar T. Catajay, Maria Gemel B. Palconit, et al. "Detection of Japanese Quails (Coturnix japonica) in Poultry Farms Using YOLOv5 and Detectron2 Faster R-CNN." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 6 (2022): 930–36. http://dx.doi.org/10.20965/jaciii.2022.p0930.

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Poultry, like quails, is sensitive to stressful environments. Too much stress can adversely affect birds’ health, causing meat quality, egg production, and reproduction to degrade. Posture and behavioral activities can be indicators of poultry wellness and health condition. Animal welfare is one of the aims of precision livestock farming. Computer vision, with its real-time, non-invasive, and accurate monitoring capability, and its ability to obtain a myriad of information, is best for livestock monitoring. This paper introduces a quail detection mechanism based on computer vision and deep lea

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6

Rodrigues, Daniel, Carl Duchesne, and Julien Lauzon-Gauthier. "Interpolation of Pathway Based Non-Destructive Testing (NDT) Data for Defect Detection and Localization in Pre-Baked Carbon Anodes." Metals 12, no. 9 (2022): 1411. http://dx.doi.org/10.3390/met12091411.

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Producing consistent quality pre-baked carbon anodes for the Hall–Héroult aluminum reduction process is challenging due to the decreasing quality and increasing variability of anode raw materials. Non-destructive testing techniques (NDT) have been developed and recently implemented in manufacturing plants to establish better suited and more efficient quality control schemes than core sampling and characterization. These technologies collect measurements representing effective properties of the materials located along a pathway between two transducers (emitter and receiver), and not spatially-r

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7

Kim, Seungjun, Junghoon Jin, and Jongsun Kim. "A Cost-Effective and Compact All-Digital Dual-Loop Jitter Attenuator for Built-Off-Test Applications." Electronics 11, no. 21 (2022): 3630. http://dx.doi.org/10.3390/electronics11213630.

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A compact and low-power all-digital CMOS dual-loop jitter attenuator (DJA) for low-cost built-off-test (BOT) applications such as parallel multi-DUT testing is presented. The proposed DJA adopts a new digital phase interpolator (PI)-based clock recovery (CR) loop with an adaptive decimation filter (ADF) function to remove the jitter and phase noise of the input clock, and generate a phase-aligned clean output clock. In addition, by adopting an all-digital multi-phase multiplying delay-locked loop (MDLL), eight low-jitter evenly spaced reference clocks that are required for the PI are generated

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8

DeGaetano, Arthur T., and Brian N. Belcher. "Spatial Interpolation of Daily Maximum and Minimum Air Temperature Based on Meteorological Model Analyses and Independent Observations." Journal of Applied Meteorology and Climatology 46, no. 11 (2007): 1981–92. http://dx.doi.org/10.1175/2007jamc1536.1.

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Abstract Hourly meteorological forecast model initializations are used to guide the spatial interpolation of daily cooperative network station data in the northeastern United States. The hourly model data are transformed to daily maximum and minimum temperature values and interpolated to the station points after standardization to station elevation based on the model temperature lapse rate. The resulting bias (interpolation − observation) is computed and then interpolated back to the model grids, allowing daily adjustment of the temperature fields based on independent observations. These adjus

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9

Wang, Fen-Jiao, Chang-Lin Mei, Zhi Zhang, and Qiu-Xia Xu. "Testing for Local Spatial Association Based on Geographically Weighted Interpolation of Geostatistical Data with Application to PM2.5 Concentration Analysis." Sustainability 14, no. 21 (2022): 14646. http://dx.doi.org/10.3390/su142114646.

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Using local spatial statistics to explore local spatial association of geo-referenced data has attracted much attention. As is known, a local statistic is formulated at a particular sampling unit based on a prespecific proximity relationship and the observations in the neighborhood of this sampling unit. However, geostatistical data such as meteorological data and air pollution data are generally collected from meteorological or monitoring stations which are usually sparsely located or highly clustered over space. For such data, a local spatial statistic formulated at an isolate sampling point

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10

Rimon, Y., E. R. Graber, and A. Furman. "Interpolation of extensive routine water pollution monitoring datasets: methodology and discussion of implications for aquifer management." Hydrology and Earth System Sciences Discussions 10, no. 7 (2013): 9363–87. http://dx.doi.org/10.5194/hessd-10-9363-2013.

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Abstract. A large fraction of the fresh water available for human use is stored in groundwater aquifers. Since human activities such as mining, agriculture, industry and urbanization often result in incursion of various pollutants to groundwater, routine monitoring of water quality is an indispensable component of judicious aquifer management. Unfortunately, groundwater pollution monitoring is expensive and usually cannot cover an aquifer with the spatial resolution necessary for making adequate management decisions. Interpolation of monitoring data between points is thus an important tool for

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