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Journal articles on the topic 'Data direction'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2025

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1

Carr, Ellen. "Direction From Data." Clinical Journal of Oncology Nursing 25, no. 5 (2021): 495. http://dx.doi.org/10.1188/21.cjon.495.

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2

Shuster, Malcolm D. "Effective direction measurements for spacecraft attitude: III. Defective directions and data fusion." Journal of the Astronautical Sciences 55, no. 4 (2007): 493–510. http://dx.doi.org/10.1007/bf03256538.

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3

Wilson, W. Brett. "Data Buoy Aerodynamics." Marine Technology and SNAME News 30, no. 01 (1993): 51–60. http://dx.doi.org/10.5957/mt1.1993.30.1.51.

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The National Data Buoy Center (NDBC) operates moored data buoys in waters around the United States, providing highly valuable environmental observations in real time from remote marine regions. Key among these observations are wind speed and direction, and, for that purpose, NDBC uses duplicate anemometers on each buoy for reasons of redundancy and data quality. A significant portion of the NDBC buoy array also measures the directional wave spectrum. Buoys so equipped, when also fitted with a fin on the mast, can produce wind speed and direction from the directional wave system output; however

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4

Xu, Haiyong, Kevin Nichols, and Frederic P. Schoenberg. "Kernel Regression of Directional Data with Application to Wind and Wildfire Data in Los Angeles County, California." Forest Science 57, no. 4 (2011): 343–52. http://dx.doi.org/10.1093/forestscience/57.4.343.

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Abstract This article describes a method of kernel regression that can be used to investigate the relationship between a directional explanatory variable and a real-valued response variable. Cross-validation and bootstrap methods for obtaining sensible bandwidths and standard error estimates are also described. The proposed method is applied to wildfire and meteorological data from Los Angeles County, California, with the goal of summarizing and quantifying the impact of wind direction on the total area burned in wildfires ignited on a particular day. The results confirm that winds blowing fro

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5

Karakhanyan, A., and A. Sabra. "Refractor surfaces determined by near-field data." Journal of Differential Equations 269, no. 2 (2020): 1278–318. https://doi.org/10.1016/j.jde.2020.01.002.

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Due to dispersion, light with different wavelengths, or colors, is refracted at different angles. Our purpose is to determine when is it possible to design a lens made of a single homogeneous material so that it refracts light superposition of two colors into a desired fixed final direction. Two problems are considered: one is when light emanates in a parallel beam and the other is when light emanates from a point source. For the first problem, and when the direction of the parallel beam is different from the final desired direction, we show that such a lens does not exist; otherwise we prove

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Zikra, Muhammad, Noriaki Hashimoto, Masaru Yamashiro, and Kojiro Kojiro Suzuki. "Transformation of Directional Wave Spreading in the Surf Zone Using Video Image Data." Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) 4, no. 1 (2014): 17–22. https://doi.org/10.36842/jomase.v4i1.517.

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In present study, video images technique is used to investigate the transformation of the directional wave spreading in shallow water. The technique is based on time series of the pixel brightness on video images. The Bayesian Directional Method is conducted in estimating the directional wave spectrum for evaluating the change of the directional wave spreading in the surf zone area. Video image data recorded at Hasaki beach in Japan are used in the analysis. Estimation of principle direction and spreading parameter in the surf zone regions indicated that principle directions at peak frequency

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7

Mallick, Subhashis, Kenneth L. Craft, Laurent J. Meister, and Ronald E. Chambers. "Determination of the principal directions of azimuthal anisotropy from P-wave seismic data." GEOPHYSICS 63, no. 2 (1998): 692–706. http://dx.doi.org/10.1190/1.1444369.

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In an azimuthally anisotropic medium, the principal directions of azimuthal anisotropy are the directions along which the quasi-P- and the quasi-S-waves propagate as pure P and S modes. When azimuthal anisotropy is induced by oriented vertical fractures imposed on an azimuthally isotropic background, two of these principal directions correspond to the directions parallel and perpendicular to the fractures. S-waves propagating through an azimuthally anisotropic medium are sensitive to the direction of their propagation with respect to the principal directions. As a result, primary or mode‐conve

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8

Lee, Eunmi, and Loni Hagen. "Identifying Policy Direction Change from Economic Texts Using Words as Data." Crisis and Emergency Management: Theory and Praxis 12, no. 5 (2022): 11–20. http://dx.doi.org/10.14251/jscm.2022.5.11.

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We examined to what extent the economic and political factors influence policy ideas by deconstructing the economic policy direction reports into words. In this study, the economic factor was set as the economic growth rate, and the political factor was government change. We empirically tested whether economic and political factors affect policy ideas using text mining, correspondence analysis, and ANOVA. The empirical analysis results show the economic policy direction report forms the basic framework of the idea by centering on a few keywords that appear repeatedly, and the words as ideas co

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9

LEE, CHARLES M. C., and MARK J. READY. "Inferring Trade Direction from Intraday Data." Journal of Finance 46, no. 2 (1991): 733–46. http://dx.doi.org/10.1111/j.1540-6261.1991.tb02683.x.

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10

Huang, Min-Chih, and Jia-Yuan Chen. "Wave direction analysis from data buoys." Ocean Engineering 25, no. 8 (1998): 621–37. http://dx.doi.org/10.1016/s0029-8018(97)00036-x.

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11

Guo, Xi, Jeffrey Xu Yu, Rong-Hua Li, and Xue Miao. "Direction-based multiple views on data." World Wide Web 22, no. 1 (2018): 185–219. http://dx.doi.org/10.1007/s11280-018-0557-2.

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12

Gershman, Alex B., and Petre Stoica. "Direction finding using data-supported optimization." Circuits, Systems, and Signal Processing 20, no. 5 (2001): 541–49. http://dx.doi.org/10.1007/bf01201977.

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13

Agnihotri, Yogesh, and George A. McMechan. "Parsimonious migration of 3-C 3D VSP data." GEOPHYSICS 72, no. 6 (2007): S205—S213. http://dx.doi.org/10.1190/1.2780221.

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Conventional Kirchhoff migration can be made much faster by a priori calculation of wave arrival directions, and tracing rays back only along the measured directions; this is known as parsimonious migration. For surface seismic data, where acquisition with 2D arrays is common, the wave arrival directions can be measured by using local slant stacking to calculate the two horizontal slowness components. The vertical slowness is then deduced by using the dispersion relation. For vertical seismic profile (VSP) data, where multiline acquisition is not possible, only the vertical component of the sl

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14

Chen, Xingfeng, Limin Zhao, Haonan Ding, et al. "Cloud Occlusion Probability Calculation Jointly Using Himawari-8 and CloudSat Satellite Data." Atmosphere 13, no. 11 (2022): 1754. http://dx.doi.org/10.3390/atmos13111754.

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Cloud occlusion is an important factor affecting flight safety and scientific observation. The calculation of Cloud Occlusion Probability (COP) is significant for the planning of the flight time and route of aircraft. Based on Himawari-8 and CloudSat satellite data, we propose a method to calculate the COP. The COP statistics were carried out on different distances in 12 directions 6 km above Beijing Capital International Airport (BCIA), at different heights and directions in the Haiyang aerostat production base, and at different times and seasons in Mount Qomolangma. It was found that the COP

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15

AVERBUCH, AMIR Z., VALERY A. ZHELUDEV, MOSHE GUTTMANN, and DAN D. KOSLOFF. "LCT-WAVELET BASED ALGORITHMS FOR DATA COMPRESSION." International Journal of Wavelets, Multiresolution and Information Processing 11, no. 05 (2013): 1350032. http://dx.doi.org/10.1142/s021969131350032x.

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We present an algorithm that compresses two-dimensional data, which are piece-wise smooth in one direction and have oscillatory events in the other direction. Fine texture, seismic, hyper-spectral and fingerprints have this mixed structure. The transform part of the compression process is an algorithm that combines the application of the wavelet transform in one direction with the local cosine transform (LCT) in the other direction. This is why it is called hybrid compression. The quantization and the entropy coding parts in the compression process were taken from SPIHT codec but it can also b

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Bloshchynskyi, Bohdan, and Yaroslav Klyatchenko. "EFFICIENCY OF COMPUTER MEANS FOR AUTOMATIC ANTENNAS DIRECTION IN WIRELESS DATA TRANSMISSION SYSTEMS." Information technology and computer engineering 58, no. 3 (2023): 33–40. http://dx.doi.org/10.31649/1999-9941-2023-58-3-33-40.

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Modern telecommunication systems have gained considerable popularity thanks, first of all, to effective means of information transmission. However, regardless of the method of information transmission, the effectiveness of any system can be limited by the maximum speed and range of this transmission. Also, the effectiveness and feasibility of using, for example, wireless data transmission systems depends on the terrain, speed of deployment, economic indicators and duration of use. In wireless data transmission systems, directional antennas are used in receivers (transmitters), which must be de

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17

Yuda, I. Wayan Andi, Shohibu Dzarilarham, Hideyo Nimiya, et al. "Gap-filling method of measured wind data for passive cooling in Indonesia." E3S Web of Conferences 634 (2025): 02002. https://doi.org/10.1051/e3sconf/202563402002.

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Typical Meteorological Year (TMY) data, constructed for 106 locations in Indonesia in 2024, lacks wind direction components, which are essential for passive cooling design in buildings and promoting energy efficiency. This study addresses gaps in wind data using bias-corrected ERA5 reanalysis data and the Monte Carlo method. Wind data from 106 Indonesian stations (2011-2020) had 30-48% missing hourly values, which were addressed through three proposed gap-filling techniques: (1) Using ERA5 wind speed-debias and the Monte Carlo Method to simulate wind directions; (2) Retaining original ERA5 U a

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18

Jing, Xili, and Li Li. "What can P-wave polarization direction data tell us about subsurface velocity structures?" Geophysical Journal International 220, no. 3 (2019): 1904–16. http://dx.doi.org/10.1093/gji/ggz554.

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SUMMARY As seismic waves propagate in the Earth, the directions of particle motions are affected by the media that they encounter, and thus seismic wave polarization direction carries the information on the media. So far there remains unclear about what can be inferred from the P-wave polarization direction data. For clarifying it, we discuss the mapping relation between polarization direction and velocity distribution. It is found that the velocity model cannot be derived uniquely from the polarization direction data. By analysing the relation between slowness vectors of the seismic ray at th

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19

Shamir, Lior. "Asymmetry in Galaxy Spin Directions: A Fully Reproducible Experiment Using HSC Data." Symmetry 16, no. 10 (2024): 1389. http://dx.doi.org/10.3390/sym16101389.

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The asymmetry in the large-scale distribution of the directions in which spiral galaxies rotate has been observed by multiple telescopes, all showing a consistent asymmetry in the distribution of galaxy spin directions as observed from Earth. Here, galaxies with a redshift from HSC DR3 are annotated by their direction of rotation, and their distribution is analyzed. The results show that galaxies that rotate in the opposite direction relative to the Milky Way as observed from Earth are significantly more prevalent compared to galaxies that rotate in the same direction relative to the Milky Way

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20

Trevisani, S., M. Cavalli, and L. Marchi. "Reading the bed morphology of a mountain stream: a geomorphometric study on high-resolution topographic data." Hydrology and Earth System Sciences Discussions 6, no. 6 (2009): 7287–319. http://dx.doi.org/10.5194/hessd-6-7287-2009.

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Abstract. High-resolution topographic data expand the potential of quantitative analysis of the earth surface, improving the interpretation of geomorphic processes. In particular, the morphologies of the channel beds of mountain streams, which are characterised by strong spatial variability, can be analysed much more effectively with this type of data. In the present study, we analysed the aerial LiDAR topographic data of a headwater stream, the Rio Cordon (watershed area: 5 km2), located in the Dolomites (north-eastern Italy). The morphology of the channel bed of Rio Cordon is characterised b

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21

Trevisani, S., M. Cavalli, and L. Marchi. "Reading the bed morphology of a mountain stream: a geomorphometric study on high-resolution topographic data." Hydrology and Earth System Sciences 14, no. 2 (2010): 393–405. http://dx.doi.org/10.5194/hess-14-393-2010.

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Abstract. High-resolution topographic data expand the potential of quantitative analysis of the earth surface, improving the interpretation of geomorphic processes. In particular, the morphologies of the channel beds of mountain streams, which are characterised by strong spatial variability, can be analysed much more effectively with this type of data. In this study, we analysed the aerial LiDAR topographic data of a headwater stream, the Rio Cordon (watershed area: 5 km2), located in the Dolomites (north-eastern Italy). The morphology of the channel bed of Rio Cordon is characterised by alter

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22

Ewans, K. C., and T. van der Vlugt. "Estimating Bimodal Frequency-Direction Spectra From Surface Buoy Data Recorded During Tropical Cyclones." Journal of Offshore Mechanics and Arctic Engineering 121, no. 3 (1999): 172–80. http://dx.doi.org/10.1115/1.2829562.

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Techniques for computing wave frequency-direction spectra are evaluated using wave buoy data recorded on the North West Shelf of Australia. Frequency-direction spectra are computed by each of four techniques and compared with the wave directionality expected at the measurement location, based on the meteorological conditions prevailing at the time. Particular emphasis is placed on the wave conditions occurring during tropical cyclones. Such sea states show strong directional bimodality, consisting largely of a cyclone-generated swell component and a local wind sea. The cyclone swell can be exp

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23

Gao, Han, Peng Dong, and Zhiwei Wei. "Microstructure and Properties of 6061 Aluminum Alloy by Additive Friction Stir Deposition." Metals 15, no. 5 (2025): 539. https://doi.org/10.3390/met15050539.

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Additive friction stir deposition (AFSD) enables solid-state, layer-by-layer metal deposition, minimizing defects and elemental loss from melting. Consequently, AFSD is highly effective for manufacturing aluminum alloys. Systematic studies indicate that grain structure influences properties along different processing directions in AFSD aluminum alloys. Accordingly, this study used AFSD to fabricate an aluminum alloy wall and rigorously characterized its microstructure and mechanical properties in both the XOY plane (X direction) specimen and the YOZ plane (Z direction) specimen. Results demons

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24

Holmes, J. D. "Wind climate of the Melbourne metropolitan area." Proceedings of the Royal Society of Victoria 133, no. 2 (2021): 82. http://dx.doi.org/10.1071/rs21011.

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This paper describes a probabilistic analysis of data recorded by the Bureau of Meteorology (BoM) for the wind climate of the Melbourne metropolitan area. It is based on 10-minute average wind data from four automatic weather stations (AWS) ‒ at Melbourne and Essendon airports, Fawkner Beacon in Port Phillip Bay, and Moorabbin Airport. Corrections to the data were made to adjust to standard terrain conditions and height. For the land stations, these were based on estimates of the surface roughness length at each site as a function of wind direction, making use of recorded gust factors. For the

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25

Jitendra, Sunte. "Artificial Neural network layers in Human body for capturing big data Analysis." Journal of Advanced Research in Artificial Intelligence & It's Applications 2, no. 1 (2024): 31–34. https://doi.org/10.5281/zenodo.13902166.

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<em>The big data analysis is made for a particularly well-known eminent personality of human beings who is connected with him for data in the form of all types of sky level and also data in the form of audio signals, video signals, text messages, voice messages, images, etc. Some of these connections from neural networks yield better results. Suppose one person from a lower-sky species is connected with a particular human being, then data will be transferrable in a in a clear way such that network communication can be made. Here broadly classified networks in two ways, which are one from the U

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26

Dai, Mian, Fangyan Dong, and Kaoru Hirota. "Fuzzy Three-Dimensional Voronoi Diagram and its Application to Geographical Data Analysis." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 2 (2012): 191–98. http://dx.doi.org/10.20965/jaciii.2012.p0191.

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A concept of fuzzy three-dimensional Voronoi Diagram is presented for spatial relations analysis of real world three-dimensional geographical data, where it is an extension of well known two-dimensional Voronoi Diagram to three-dimensional representation with uncertain spatial relation information in terms of fuzzy set. It makes possible to analyze quantitatively complex boundaries of geographically intricate areas, to give human friendly fuzzy explanation of determining three-dimensional directions, and to express uncertain spatial relations by precise unified fuzzy description. It is applied

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27

TEZEL, Özge, Buğra Kaan TİRYAKİ, Eda ÖZKUL, and Orhan KESEMEN. "A new measure of preferred direction for circular data using angular wrapping." Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics 72, no. 3 (2023): 778–802. http://dx.doi.org/10.31801/cfsuasmas.1159269.

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The statistical techniques which are developed for the analysis of data in the linear number system cannot be applied to directional data directly. Circular data may be discontinuous in some principal interval. These discontinuities cause failure results in the circular statistics. Because of that the proposed wrapping operator must be used for data, which are defined in the discontinuous range. However, in both continuity and discontinuity, the wrapping operator works correctly. The most common preferred directions for circular data are circular mean and variance summarizing and comparing the

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28

Kowsher, Md, Imran Hossen, Anik Tahabilder, Nusrat Jahan Prottasha, Kaiser Habib, and Zafril Rizal M. Azmi. "Support Directional Shifting Vector: A Direction Based Machine Learning Classifier." Emerging Science Journal 5, no. 5 (2021): 700–713. http://dx.doi.org/10.28991/esj-2021-01306.

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Machine learning models have been very popular nowadays for providing rigorous solutions to complicated real-life problems. There are three main domains named supervised, unsupervised, and reinforcement. Supervised learning mainly deals with regression and classification. There exist several types of classification algorithms, and these are based on various bases. The classification performance varies based on the dataset velocity and the algorithm selection. In this article, we have focused on developing a model of angular nature that performs supervised classification. Here, we have used two

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29

Szécsi, D., Z. Bagoly, J. Kóbori, I. Horváth, and L. G. Balázs. "Direction dependent background fitting for theFermiGBM data." Astronomy & Astrophysics 557 (August 13, 2013): A8. http://dx.doi.org/10.1051/0004-6361/201321068.

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30

Barbieri, Riccardo, Felix M. Töpfer, Joram Soch, Carsten Bogler, and John-Dylan Haynes. "Reconstruction of motion direction from fMRI data." Journal of Vision 20, no. 11 (2020): 1274. http://dx.doi.org/10.1167/jov.20.11.1274.

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31

Innocenti, Mario, and Renzo Bava. "Lateral-direction tracking requirements from simulation data." Journal of Guidance, Control, and Dynamics 14, no. 3 (1991): 701–3. http://dx.doi.org/10.2514/3.20702.

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32

Al-Jaroodi, Jameela, Nader Mohamed, and Abdulla Eid. "Dual direction big data download and analysis." ACM SIGMETRICS Performance Evaluation Review 41, no. 4 (2014): 98–101. http://dx.doi.org/10.1145/2627534.2627564.

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33

Gupta, Shashikant, and Tarun Deep Saini. "Direction dependence in supernova data: constraining isotropy." Monthly Notices of the Royal Astronomical Society 407, no. 1 (2010): 651–57. http://dx.doi.org/10.1111/j.1365-2966.2010.16945.x.

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34

Ahn, J., and J. S. Marron. "The maximal data piling direction for discrimination." Biometrika 97, no. 1 (2010): 254–59. http://dx.doi.org/10.1093/biomet/asp084.

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35

Zhang, Yulai, Yuefeng Cen, and Guiming Luo. "Causal direction inference for air pollutants data." Computers & Electrical Engineering 68 (May 2018): 404–11. http://dx.doi.org/10.1016/j.compeleceng.2018.04.016.

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36

Liner, Christopher L., Gokay Bozkurt, and V. Dale Cox. "Shooting direction and crosswell seismic data acquisition." GEOPHYSICS 61, no. 5 (1996): 1489–98. http://dx.doi.org/10.1190/1.1444074.

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Four crosswell seismic surveys were acquired in the Glenn Pool Field of northeastern Oklahoma as part of a multidisciplinary reservoir characterization project. The acquisition goal was to generate data suitable for tomographic traveltime inversion. Acquisition parameters and shooting geometry were selected by conducting a parameter test at the site. Following the parameter test, the first survey resulted in high quality data showing clear first arrivals, low ambient noise, some reflection events, and strong source‐generated tube waves. The second survey involved a different receiver well and

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37

Rosenfeld, Azriel, and Allen C. Sher. "Direction-weighted line fitting to edge data." Pattern Recognition Letters 5, no. 4 (1987): 289–92. http://dx.doi.org/10.1016/0167-8655(87)90060-2.

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38

Gu, Xiaowei, Plamen Angelov, Dmitry Kangin, and Jose Principe. "Self-Organised direction aware data partitioning algorithm." Information Sciences 423 (January 2018): 80–95. http://dx.doi.org/10.1016/j.ins.2017.09.025.

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Yoo, Han-Chul, and Chang-Min Lee. "A Study on the recognition direction of Taekwondo Performance Directing Using Big Data Analysis." World Society of Taekwondo Culture 15, no. 2 (2024): 49–66. http://dx.doi.org/10.18789/jwstc.2024.43.49.

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40

Liu, Xiao Lei. "Dance Movement Recognition Based on Multimodal Environmental Monitoring Data." Journal of Environmental and Public Health 2022 (July 19, 2022): 1–8. http://dx.doi.org/10.1155/2022/1568930.

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Fine motion recognition is a challenging topic in computer vision, and it has been a trendy research direction in recent years. This study combines motion recognition technology with dance movements and the problems such as the high complexity of dance movements and fully considers the human body’s self-occlusion. The excellent motion recognition content in the dance field was studied and analyzed. A compelling feature extraction method was proposed for the dance video dataset, segmented video, and accumulated edge feature operation. By extracting directional gradient histogram features, a set

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Deo, M. C., and R. Burrows. "EXTREME WAVE PREDICTION USING DIRECTIONAL DATA." Coastal Engineering Proceedings 1, no. 20 (1986): 11. http://dx.doi.org/10.9753/icce.v20.11.

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Potential inconsistencies in the predictions of long term wave heights can be experienced as a result of different methods of analysis possible when using directional wave data. This paper attempts to illustrate some of them. It involves analysis of two sets of directional wave data - one froa a coastal location in the Irish Sea and another from an offshore location in the North Sea. An attempt is made to eliminate the discrepancies between the long term return-value wave height predictions based upon the conditional height distributions associa ted with different direction sectors and those d

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Garg, Anshu, and Prof (Dr ). Sanjeev Bansal. "A DATA DISSEMINATION MODEL FOR VEHICULAR ADHOC NETWORK." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 2 (2012): 64–69. http://dx.doi.org/10.24297/ijct.v2i2a.6740.

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Vehicular adhoc network (VANET) is an emerging network which is depend on the communication of data through vehicular network via data pushing. Data pushing in between the vehicles was done by the data pushing communication model. In this paper, we present a formal model of data dissemination in between the vehicles by the mobility of vehicles and describe also the affects of data dissemination and study their characteristics which define the mobility if data dissemination in bidirectional mobility, we also study the data push model in the context of Traffic View, a system that we have impleme

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Zhang, Hongliang, Shuo Chen, Lei Luo, and Jian Yang. "Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 21 (2025): 22425–33. https://doi.org/10.1609/aaai.v39i21.34399.

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Spherical Sliced-Wasserstein (SSW) has recently been proposed to measure the discrepancy between spherical data distributions in various fields, such as geology, medical domains, computer vision, and deep representation learning. However, in the original SSW, all projection directions are treated equally, which is too idealistic and cannot accurately reflect the importance of different projection directions for various data distributions. To address this issue, we propose a novel data-adaptive Discriminative Spherical Sliced-Wasserstein (DSSW) distance, which utilizes a projected energy functi

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Cliet, C., and M. Dubesset. "Three‐component recordings: Interest for land seismic source study." GEOPHYSICS 52, no. 8 (1987): 1048–59. http://dx.doi.org/10.1190/1.1442370.

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Three‐component recordings provide access to the particle trajectory due to seismic events. This three‐dimensional picture shows successions of complex phenomena. Nevertheless, this trajectory has predominant directions of polarization. A method of spatial directional filtering is described to calculate the polarization direction of parts of the trajectory. The application of this method provides means to reject trajectory parts for which the angular gap between their polarization axis and a reference direction, for example X, Y, or Z, is greater than a given threshold angle. Real data are sub

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45

Gonzalo-Skok, Oliver, Thomas Dos'Santos, and Chris Bishop. "Assessing Limb Dominance and Interlimb Asymmetries Over Multiple Angles During Change of Direction Speed Tests in Basketball Players." Journal of Strength and Conditioning Research 37, no. 12 (2023): 2423–30. http://dx.doi.org/10.1519/jsc.0000000000004558.

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Abstract Gonzalo-Skok, O, Dos' Santos, T, and Bishop, C. Assessing limb dominance and interlimb asymmetries over multiple angles during change of direction speed tests in basketball players. J Strength Cond Res 37(12): 2423–2430, 2023—The aims of this study were to establish whether directional dominance is displayed during change of direction (COD) tasks across various angles, to determine the angle-variation data for the asymmetry magnitude and direction, and to analyze the relationships in COD performance (completion time and COD deficit) across tasks. Twenty-four young (U-16 to U-20), high

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Shan, Guojian, Robert Clapp, and Biondo Biondi. "3D plane-wave migration in tilted coordinates: A field data example." GEOPHYSICS 74, no. 6 (2009): WCA199—WCA209. http://dx.doi.org/10.1190/1.3242752.

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We have extended isotropic plane-wave migration in tilted coordinates to 3D anisotropic media and applied it on a Gulf of Mexico data set. Recorded surface data are transformed to plane-wave data by slant-stack processing in inline and crossline directions. The source plane wave and its corresponding slant-stacked data are extrapolated into the subsurface within a tilted coordinate system whose direction depends on the propagation direction of the plane wave. Images are generated by crosscorrelating these two wavefields. The shot sampling is sparse in the crossline direction, and the source ge

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Wang, Jiangtao, Longlong Qian, Songwei Wang, Li Shi, and Zhizhong Wang. "Directional Preference in Avian Midbrain Saliency Computing Nucleus Reflects a Well-Designed Receptive Field Structure." Animals 12, no. 9 (2022): 1143. http://dx.doi.org/10.3390/ani12091143.

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Neurons responding sensitively to motions in several rather than all directions have been identified in many sensory systems. Although this directional preference has been demonstrated by previous studies to exist in the isthmi pars magnocellularis (Imc) of pigeon (Columba livia), which plays a key role in the midbrain saliency computing network, the dynamic response characteristics and the physiological basis underlying this phenomenon are unclear. Herein, dots moving in 16 directions and a biologically plausible computational model were used. We found that pigeon Imc’s significant responses

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Todorovic, Dejan. "A new variant of the barberpole effect: Psychophysical data and computer simulations." Psihologija 35, no. 3-4 (2002): 209–23. http://dx.doi.org/10.2298/psi0203209t.

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The classic barberpole effect shows that perceived direction of motion of parallel line segments depends on the orientation of the frame defined by segment end points. A stimulus configuration was created by crossing two oblique barberpoles. Perceived motion in the crossed portion of the configuration is bi-stable, alternating between two oblique directions defined by the two component barberpoles. Ratings of dominance of perceived motion direction in the crossed portion of two barberpoles of different width and orientation revealed a strong preference for the wider component barberpole and a

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Wu, Gengkun, Chuanxi Liu, and Yongquan Liang. "Comparative Study on Numerical Calculation of 2-D Random Sea Surface Based on Fractal Method and Monte Carlo Method." Water 12, no. 7 (2020): 1871. http://dx.doi.org/10.3390/w12071871.

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Based on fifty one groups of data on direction distribution measured from buoy sites, several important spectrum parameters including distribution characteristics of the measured data’s spectrum, the Wen’s direction spectrum and the Donelan function are analyzed from the perspectives of standard deviation of directional distribution function and statistical results. Then, a numeric calculation model based on the Monte Carlo method is proposed in this work. At the same time—based on Weierstrass self-affine fractal function—numeric simulation of random sea surface is conducted by modifying the b

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Draxler, Roland R. "The Use of Global and Mesoscale Meteorological Model Data to Predict the Transport and Dispersion of Tracer Plumes over Washington, D.C." Weather and Forecasting 21, no. 3 (2006): 383–94. http://dx.doi.org/10.1175/waf926.1.

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Abstract The data from a yearlong tracer dispersion experiment over Washington, D.C., in 1984 were used to evaluate Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) dispersion model calculations using coarse global meteorological reanalysis data [NCEP–NCAR and 40-Yr ECMWF Re-Analysis (ERA-40)] and calculations using meteorological data fields created by running a high-resolution meteorological model [fifth-generation Pennsylvania State University–NCAR Mesoscale Model (MM5)]. None of the meteorological models were optimized for urban environments. The dispersion calculation usi

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