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Journal articles on the topic 'Movement data modelling'

Author: Grafiati

Published: 25 June 2021

Last updated: 29 July 2025

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1

McLellan, Chris R., Bruce J. Worton, William Deasy, and A. Nicholas E. Birch. "Modelling larval movement data from individual bioassays." Biometrical Journal 57, no. 3 (2015): 485–501. http://dx.doi.org/10.1002/bimj.201400035.

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Chaters, G. L., P. C. D. Johnson, S. Cleaveland, et al. "Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1776 (2019): 20180264. http://dx.doi.org/10.1098/rstb.2018.0264.

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Livestock movements are an important mechanism of infectious disease transmission. Where these are well recorded, network analysis tools have been used to successfully identify system properties, highlight vulnerabilities to transmission, and inform targeted surveillance and control. Here we highlight the main uses of network properties in understanding livestock disease epidemiology and discuss statistical approaches to infer network characteristics from biased or fragmented datasets. We use a ‘hurdle model’ approach that predicts (i) the probability of movement and (ii) the number of livesto

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Smouse, Peter E., Stefano Focardi, Paul R. Moorcroft, John G. Kie, James D. Forester, and Juan M. Morales. "Stochastic modelling of animal movement." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1550 (2010): 2201–11. http://dx.doi.org/10.1098/rstb.2010.0078.

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Modern animal movement modelling derives from two traditions. Lagrangian models, based on random walk behaviour, are useful for multi-step trajectories of single animals. Continuous Eulerian models describe expected behaviour, averaged over stochastic realizations, and are usefully applied to ensembles of individuals. We illustrate three modern research arenas. (i) Models of home-range formation describe the process of an animal ‘settling down’, accomplished by including one or more focal points that attract the animal's movements. (ii) Memory-based models are used to predict how accumulated e

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Dawson, Peter M., Marleen Werkman, Ellen Brooks-Pollock, and Michael J. Tildesley. "Epidemic predictions in an imperfect world: modelling disease spread with partial data." Proceedings of the Royal Society B: Biological Sciences 282, no. 1808 (2015): 20150205. http://dx.doi.org/10.1098/rspb.2015.0205.

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‘Big-data’ epidemic models are being increasingly used to influence government policy to help with control and eradication of infectious diseases. In the case of livestock, detailed movement records have been used to parametrize realistic transmission models. While livestock movement data are readily available in the UK and other countries in the EU, in many countries around the world, such detailed data are not available. By using a comprehensive database of the UK cattle trade network, we implement various sampling strategies to determine the quantity of network data required to give accurat

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Arrizza, Antonio Mario, and Alberto Caimo. "Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data." Statistical Methods & Applications 30, no. 5 (2021): 1465–83. http://dx.doi.org/10.1007/s10260-021-00599-x.

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AbstractMotivated by the ongoing COVID-19 pandemic, this article introduces Bayesian dynamic network actor models for the analysis of infected individuals’ movements in South Korea during the first three months of 2020. The relational event data modelling framework makes use of network statistics capturing the structure of movement events from and to several country’s municipalities. The fully probabilistic Bayesian approach allows to quantify the uncertainty associated to the relational tendencies explaining where and when movement events are established and where they are directed. The obser

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Salmerón-Quiroz, B. B., C. F. Mendez-Barrios, J. F. Guerrero-Castellanos, S. A. Rodriguez-Paredes, and G. Villegas-Medina. "Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder." Discrete Dynamics in Nature and Society 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/586480.

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In this paper we focus on the human arm motion capture, which is motivated by the requirements in physical rehabilitation and training of stroke patients in the same way as monitoring of elderly person activities. The proposed methodology uses a data fusion of low-cost and low-weight MEMS sensors jointly to an a priori knowledge of the arm anatomy. The main goal is to estimate the arm position, the anatomical movements of the shoulder and its accelerations. We propose a discrete optimization based-approach which aims to search the optimal attitude ambiguity directly without decorrelation of am

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Auger-Méthé, M., CM Albertsen, ID Jonsen, et al. "Spatiotemporal modelling of marine movement data using Template Model Builder (TMB)." Marine Ecology Progress Series 565 (February 17, 2017): 237–49. http://dx.doi.org/10.3354/meps12019.

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Bauduin, Sarah, Eliot McIntire, Martin-Hugues St-Laurent, and Steve Cumming. "Overcoming challenges of sparse telemetry data to estimate caribou movement." Ecological Modelling 335 (September 2016): 24–34. http://dx.doi.org/10.1016/j.ecolmodel.2016.05.004.

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Dahlke, Grzegorz. "The anthropometric criterion in the modelling of evacuation." Informatyka Ekonomiczna 2020, no. 1(55) (2020): 21–37. http://dx.doi.org/10.15611/ie.2020.1.02.

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The article presents a sample study on the use of anthropometric criteria in modelling evacuation conditions. Formal evacuation models differ in the level of detail they offer in reality mapping. The key parameter determined with their use is evacuation time. The basic data inputs in such modelling are the speed of human movement. Numerous research papers offer examples of such speeds for people of varying ages who wear various clothing (that is more or less restrictive of movements) and footwear. As opposed to movement-based and behavioural models, the models that reflect the basic evacuation

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Planckaert, Ophélie, and André Desrochers. "Modelling Marten (Martes americana) Movement Costs in a Boreal Forest: Effects of Grain Size and Thematic Resolution." International Journal of Ecology 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/742913.

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We investigated landscape resistance to movements of American marten (Martes americana) based on snow-tracking data. We generated movement cost maps of the study area with different grain size, thematic resolution, and habitat-specific resistance to movements. We compared simulated tracks obtained from resistance maps to real tracks plotted along transects that we surveyed in winters 2004 to 2008 at the Montmorency Forest, Quebec, Canada. Simulated tracks were located at the intersection between least-cost paths simulated across the study area and transects. We used nearest-neighbour distances

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Cui, Xinze, Wing Kai Lam, Qiang Gao, Xin Wang, and Tianyu Zhao. "Biomechanical Analysis on Skilled Badminton Players during Take-Off Phase in Forehand Overhead Strokes: A Pilot Study." Biology 11, no. 10 (2022): 1401. http://dx.doi.org/10.3390/biology11101401.

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Different movement speeds can contribute to different joint loading in sports. Joint contact force is the actual force acting on the articular surface, which could predict performance and injury, but is rarely reported for badminton overhead strokes. Through an approach using musculoskeletal modelling, six male elite badminton players performed forehand overhead strokes at different movement speeds (fast (100%) vs. moderate (90%)). The synchronized kinematics and ground reaction force (GRF) data were measured using a motion capturing system and a force platform. All kinematics and GRF informat

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Galanti, Barak, Sergiu Dov Rosen, and Amos Salamon. "HIGH RESOLUTION TSUNAMI MODELING AT THE MEDITERRANEAN COAST OF ISRAEL TOWARDS AN EARLY WARNING TSUNAMI SCENARIOS DATA BANK." Coastal Engineering Proceedings 1, no. 32 (2011): 28. http://dx.doi.org/10.9753/icce.v32.posters.28.

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This poster paper presents first the a tsunami modelling investigation using the state of the art, open source tsunami model (GeoClaw), its adaptation to investigate the impact of tsunami wave generation, propagation and inundation at the Mediterranean coast of Israel using high resolution bathymetric and topographic grid , aided by additional tsunami generation modelling tools simulating the initial stages of tsunami generation by earthquake induced tectonic plates rupture and movement or by landslide on the coastal shelf, as well as visualization tools, adapted by the first author under LINU

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Fujii, Keisuke. "Understanding of social behaviour in human collective motions with non-trivial rule of control." Impact 2019, no. 10 (2019): 84–86. http://dx.doi.org/10.21820/23987073.2019.10.84.

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The coordination and movement of people in large crowds, during sports games or when socialising, seems readily explicable. Sometimes this occurs according to specific rules or instructions such as in a sport or game, at other times the motivations for movement may be more focused around an individual's needs or fears. Over the last decade, the computational ability to identify and track a given individual in video footage has increased. The conventional methods of how data is gathered and interpreted in biology rely on fitting statistical results to particular models or hypotheses. However, d

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Lisi, Edoardo, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, and Seth Flaxman. "Modelling and forecasting art movements with CGANs." Royal Society Open Science 7, no. 4 (2020): 191569. http://dx.doi.org/10.1098/rsos.191569.

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Conditional generative adversarial networks (CGANs) are a recent and popular method for generating samples from a probability distribution conditioned on latent information. The latent information often comes in the form of a discrete label from a small set. We propose a novel method for training CGANs which allows us to condition on a sequence of continuous latent distributions f (1) , …, f ( K ) . This training allows CGANs to generate samples from a sequence of distributions. We apply our method to paintings from a sequence of artistic movements, where each movement is considered to be its

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Kusuma, Fanny, Yusuf Arico, Yan Satriyo, Dimas Wijaya, Moh. Ardhi Afnan, and Misbahudin. "IDENTIFICATION OF MASS MOVEMENT POTENTIAL USING BIVARIATE STATISTICAL ANALYSIS ON GEOGRAPHIC INFORMATION SYSTEM IN CIASMARA AREA, BOGOR REGENCY." Jurnal Abdi Masyarakat Indonesia (JAMIN) 5, no. 1 (2023): 24–37. https://doi.org/10.25105/jamin.v5i1.10249.

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Mass movements often occur in the village of Ciasmara, Pamijahan district, Bogor regency. The phenomenon of mass movement can provide economic losses as well as casualties. Therefore, the village community needs to know the region's potential for a mass movement. Ciasmara village has characteristics of steep slopes and lithological arrangement that has experienced weathering. The high rain intensity also aggravates this condition; it can cause mass movements. In this community service activity, statistical analysis of Geographic Information Systems has been conducted in digitally mapping the p

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Ren, Chang, Luliang Tang, Jed Long, Zihan Kan, and Xue Yang. "Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History." ISPRS International Journal of Geo-Information 10, no. 7 (2021): 456. http://dx.doi.org/10.3390/ijgi10070456.

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The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities at time points within a gap, based on empirical mobility patterns derived from past trajectories. Different from previous models, our model makes use of prior information from historical data to build a chain of empirically biased random walks. Therefore, it is applicable to gaps of varied lengths and can be fitted to empirical data conveniently.

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Adam, Timo, Christopher A. Griffiths, Vianey Leos‐Barajas, et al. "Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models." Methods in Ecology and Evolution 10, no. 9 (2019): 1536–50. http://dx.doi.org/10.1111/2041-210x.13241.

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18

Baran, Nicole, Jean Richert, and Christophe Mouvet. "Field data and modelling of water and nitrate movement through deep unsaturated loess." Journal of Hydrology 345, no. 1-2 (2007): 27–37. http://dx.doi.org/10.1016/j.jhydrol.2007.07.006.

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19

Baronas, R., F. Ivanauskas, I. Juodeikienė, and A. Kajalavičius. "Modelling of Moisture Movement in Wood during Outdoor Storage." Nonlinear Analysis: Modelling and Control 6, no. 2 (2001): 3–14. http://dx.doi.org/10.15388/na.2001.6.1.15210.

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A model of moisture movement in wood is presented in this paper in a two-dimensional-in-space formulation. The finite-difference technique has been used in order to obtain the solution of the problem. The model was applied to predict the moisture content in sawn boards from pine during long term storage under outdoor climatic conditions. The satisfactory agreement between the numerical solution and experimental data was obtained.

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20

Mikhailov, V. G. "About some approaches modeling of the vehicle on simulator." «System analysis and applied information science», no. 3 (December 12, 2019): 29–35. http://dx.doi.org/10.21122/2309-4923-2019-3-29-35.

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The purpose of the given work is consideration and working off of approaches, techniques, schemes of realisation of modelling of the vehicle on simulators on the basis of a choice of more perfect models of movement, fluctuations, roadability of the vehicle in package Matlab/Simulink for reception and an estimation of parametres of the vehicle, it loading. Features of imitating modelling of the vehicle on a simulator, requirements to it, using methods of such modelling on the basis of computer models, hydropulsators and a moving platform with the monitors/projectors, simulating road conditions

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21

Jolivet, L., M. Cohen, and A. Ruas. "MODELLING THE CONSTRAINTS OF SPATIAL ENVIRONMENT IN FAUNA MOVEMENT SIMULATIONS: COMPARISON OF A BOUNDARIES ACCURATE FUNCTION AND A COST FUNCTION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 19, 2015): 249–55. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-249-2015.

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Landscape influences fauna movement at different levels, from habitat selection to choices of movements’ direction. Our goal is to provide a development frame in order to test simulation functions for animal’s movement. We describe our approach for such simulations and we compare two types of functions to calculate trajectories. To do so, we first modelled the role of landscape elements to differentiate between elements that facilitate movements and the ones being hindrances. Different influences are identified depending on landscape elements and on animal species. Knowledge were gathered from

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22

Berret, Bastien, Adrien Conessa, Nicolas Schweighofer, and Etienne Burdet. "Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision." PLOS Computational Biology 17, no. 6 (2021): e1009047. http://dx.doi.org/10.1371/journal.pcbi.1009047.

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Human movements with or without vision exhibit timing (i.e. speed and duration) and variability characteristics which are not well captured by existing computational models. Here, we introduce a stochastic optimal feedforward-feedback control (SFFC) model that can predict the nominal timing and trial-by-trial variability of self-paced arm reaching movements carried out with or without online visual feedback of the hand. In SFFC, movement timing results from the minimization of the intrinsic factors of effort and variance due to constant and signal-dependent motor noise, and movement variabilit

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Loriette, Antoine, Wanyu Liu, Frédéric Bevilacqua, and Baptiste Caramiaux. "Describing movement learning using metric learning." PLOS ONE 18, no. 2 (2023): e0272509. http://dx.doi.org/10.1371/journal.pone.0272509.

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Analysing movement learning can rely on human evaluation, e.g. annotating video recordings, or on computing means in applying metrics on behavioural data. However, it remains challenging to relate human perception of movement similarity to computational measures that aim at modelling such similarity. In this paper, we propose a metric learning method bridging the gap between human ratings of movement similarity in a motor learning task and computational metric evaluation on the same task. It applies metric learning on a Dynamic Time Warping algorithm to derive an optimal set of movement featur

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Bearup, Daniel, Carly M. Benefer, Sergei V. Petrovskii, and Rod P. Blackshaw. "Revisiting Brownian motion as a description of animal movement: a comparison to experimental movement data." Methods in Ecology and Evolution 7, no. 12 (2016): 1525–37. http://dx.doi.org/10.1111/2041-210x.12615.

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Masden, Elizabeth A., Richard Reeve, Mark Desholm, Anthony D. Fox, Robert W. Furness, and Daniel T. Haydon. "Assessing the impact of marine wind farms on birds through movement modelling." Journal of The Royal Society Interface 9, no. 74 (2012): 2120–30. http://dx.doi.org/10.1098/rsif.2012.0121.

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Advances in technology and engineering, along with European Union renewable energy targets, have stimulated a rapid growth of the wind power sector. Wind farms contribute to carbon emission reductions, but there is a need to ensure that these structures do not adversely impact the populations that interact with them, particularly birds. We developed movement models based on observed avoidance responses of common eider Somateria mollissima to wind farms to predict, and identify potential measures to reduce, impacts. Flight trajectory data that were collected post-construction of the Danish Nyst

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Rinzin, Sonam, Stuart Dunning, Rachel Joanne Carr, Ashim Sattar, and Martin Mergili. "Exploring implications of input parameter uncertainties in glacial lake outburst flood (GLOF) modelling results using the modelling code r.avaflow." Natural Hazards and Earth System Sciences 25, no. 6 (2025): 1841–64. https://doi.org/10.5194/nhess-25-1841-2025.

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Abstract. Modelling complex mass flow processes, such as glacial lake outburst floods (GLOFs), for hazard and risk assessments requires extensive data and computational resources. Researchers often rely on low-resolution, open-access datasets and parameters derived from plausibility due to the difficulty involved in conducting direct measurements. This results in considerable uncertainties in forward modelling, potentially limiting the accuracy and reliability of predictions. To determine the sensitivity of the model outputs stemming from input parameter uncertainties in the forward modelling,

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Dingli, Mark, Kristian Guillaumier, and Adam Gauci. "Predictive Modelling of Sea Debris around Maltese Coastal Waters." Oceans 5, no. 3 (2024): 672–94. http://dx.doi.org/10.3390/oceans5030039.

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The accumulation of sea-surface debris around the coastal waters of Malta poses significant ecological and environmental challenges, negatively affecting marine ecosystems and human activities. This issue is exacerbated due to the lack of an effective system tailored to predict surface-debris movement specifically for the Islands of Malta. To address this gap, a pipeline that combines a machine learning-based prediction system with a physics-based model is proposed. This pipeline uses data on historical sea-surface current velocities to forecast future conditions and visualise debris movement.

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Barchiesi, Daniele, Tobias Preis, Steven Bishop, and Helen Susannah Moat. "Modelling human mobility patterns using photographic data shared online." Royal Society Open Science 2, no. 8 (2015): 150046. http://dx.doi.org/10.1098/rsos.150046.

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Humans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to the Flickr photo-sharing website. Inspired by the theory of Lévy flights, which has previously been used to describe the statistical properties of human mobility, we design a machine learning algorithm to infer the probability of findi

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de Moor, Carryn L., Douglas S. Butterworth, and Carl D. van der Lingen. "The quantitative use of parasite data in multistock modelling of South African sardine (Sardinops sagax)." Canadian Journal of Fisheries and Aquatic Sciences 74, no. 11 (2017): 1895–903. http://dx.doi.org/10.1139/cjfas-2016-0280.

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Differences in parasite infection have previously been used to distinguish between fish stocks. We demonstrate a novel use of parasite prevalence-by-length data to inform quantitatively on stock mixing. An initial two mixing stock hypothesis proved consistent with biological and survey data, suggesting that there are different stocks of sardine off the west and south coasts of South Africa. That hypothesis assumed that only recruits moved from the west to the south stock. However, new “tetracotyle”-type metacercarian parasite bio-tag data indicate a need to allow older fish to move between the

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Mondal, Debomita, Giridhar Maji, Takaaki Goto, Narayan C. Debnath, and Soumya Sen. "A Data Warehouse Based Modelling Technique for Stock Market Analysis." International Journal of Engineering & Technology 7, no. 3.13 (2018): 165. http://dx.doi.org/10.14419/ijet.v7i3.13.16344.

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The objective of this paper is identifying a warehouse model to build an analytical framework and analyze different important parameters which directly impact the changes of share market. We identify parameters that represent different viewing windows and perspectives towards stock market performance and movement trends. We categorize and define many intrinsic as well as external factors that may affect stock market as a whole. Sensex and Nifty are used as the pulse of Indian stock market. In this paper, we focus on defining a suitable OLAP model which can cater all the parameters that affect

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Mondal, Debomita, Giridhar Maji, Takaaki Goto, Narayan C. Debnath, and Soumya Sen. "A Data Warehouse Based Modelling Technique for Stock Market Analysis." International Journal of Engineering & Technology 7, no. 3.13 (2018): 165. http://dx.doi.org/10.14419/ijet.v7i3.13.17325.

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The objective of this paper is identifying a warehouse model to build an analytical framework and analyze different important parameters which directly impact the changes of share market. We identify parameters that represent different viewing windows and perspectives towards stock market performance and movement trends. We categorize and define many intrinsic as well as external factors that may affect stock market as a whole. Sensex and Nifty are used as the pulse of Indian stock market. In this paper, we focus on defining a suitable OLAP model which can cater all the parameters that affect

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Rédl, Jozef, Veronika Váliková, and Ján Antl. "Modelling of Terrain Surface." Acta Technologica Agriculturae 17, no. 1 (2014): 17–20. http://dx.doi.org/10.2478/ata-2014-0004.

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Abstract In this contribution, we deal with the methodology of visualisation of terrain surface, on which experimental measurements of driving manoeuvres of an agricultural technological vehicle MT8-222 were performed. The introduced methodology uses a defined approach when determining the dynamic stability of agricultural vehicles following the standard STN 47 017. Records of the centre of gravity accelerations were obtained from driving manoeuvres at every instance of time during the drive. From records of accelerations and by using Euler‘s parameters with respect to the inertial system, the

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Schank, Cody J., Michael V. Cove, Marcella J. Kelly, et al. "A Sensitivity Analysis of the Application of Integrated Species Distribution Models to Mobile Species: A Case Study with the Endangered Baird’s Tapir." Environmental Conservation 46, no. 03 (2019): 184–92. http://dx.doi.org/10.1017/s0376892919000055.

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SummarySpecies distribution models (SDMs) are statistical tools used to develop continuous predictions of species occurrence. ‘Integrated SDMs’ (ISDMs) are an elaboration of this approach with potential advantages that allow for the dual use of opportunistically collected presence-only data and site-occupancy data from planned surveys. These models also account for survey bias and imperfect detection through the use of a hierarchical modelling framework that separately estimates the species–environment response and detection process. This is particularly helpful for conservation applications a

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Williamson, Sandra D., Richard van Dongen, Lewis Trotter, Russell Palmer, and Todd P. Robinson. "Fishing for Feral Cats in a Naturally Fragmented Rocky Landscape Using Movement Data." Remote Sensing 13, no. 23 (2021): 4925. http://dx.doi.org/10.3390/rs13234925.

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Feral cats are one of the most damaging predators on Earth. They can be found throughout most of Australia’s mainland and many of its larger islands, where they are adaptable predators responsible for the decline and extinction of many species of native fauna. Managing feral cat populations to mitigate their impacts is a conservation priority. Control strategies can be better informed by knowledge of the locations that cats frequent the most. However, this information is rarely captured at the population level and therefore requires modelling based on observations of a sample of individuals. H

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Chappell, Helen, David Shepherd, and Serena Best. "Zinc Substituted Hydroxyapatite – A Comparison of Modelling and Experimental Data." Key Engineering Materials 396-398 (October 2008): 729–32. http://dx.doi.org/10.4028/www.scientific.net/kem.396-398.729.

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The effect of substitution of zinc into the hydroxyapatite lattice(ZnHA) was evaluated using experimental precipitation studies and with ab initio modelling data. When attempting to introduce zinc into the hydroxyapatite (HA) lattice not all of the zinc is substituted and ICP confirms its presence in the supernatant. Modelling suggests that this is likely to be because of the high formation energy introducing zinc into the pure hydroxyapatite lattice, 4.6 - 4.9eV. In the experimental study it was found that a maximum of 0.61wt% zinc could be substituted into the HA lattice at 10oC with less be

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Herssens, Nolan, James Cowburn, Kirsten Albracht, et al. "Movement in low gravity environments (MoLo) programme–The MoLo-L.O.O.P. study protocol." PLOS ONE 17, no. 11 (2022): e0278051. http://dx.doi.org/10.1371/journal.pone.0278051.

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Background Exposure to prolonged periods in microgravity is associated with deconditioning of the musculoskeletal system due to chronic changes in mechanical stimulation. Given astronauts will operate on the Lunar surface for extended periods of time, it is critical to quantify both external (e.g., ground reaction forces) and internal (e.g., joint reaction forces) loads of relevant movements performed during Lunar missions. Such knowledge is key to predict musculoskeletal deconditioning and determine appropriate exercise countermeasures associated with extended exposure to hypogravity. Objecti

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Eckert, Anna-Lena, Elena Fuehrer, Christina Schmitter, Benjamin Straube, Katja Fiehler, and Dominik Endres. "Modelling sensory attenuation as Bayesian causal inference across two datasets." PLOS ONE 20, no. 1 (2025): e0317924. https://doi.org/10.1371/journal.pone.0317924.

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Introduction To interact with the environment, it is crucial to distinguish between sensory information that is externally generated and inputs that are self-generated. The sensory consequences of one’s own movements tend to induce attenuated behavioral- and neural responses compared to externally generated inputs. We propose a computational model of sensory attenuation (SA) based on Bayesian Causal Inference, where SA occurs when an internal cause for sensory information is inferred. Methods Experiment 1investigates sensory attenuation during a stroking movement. Tactile stimuli on the stroki

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Chudyk, I. I., I. F. Dudych, and V. V. Tokaruk. "Well washing process modelling." Prospecting and Development of Oil and Gas Fields, no. 2(75) (June 30, 2020): 62–68. http://dx.doi.org/10.31471/1993-9973-2020-2(75)-62-68.

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The study of the influence of technical and technological factors on the efficiency of well flushing was car-ried out under experimental conditions. The analysis of existing experimental installations is performed with the help of which it is possible to assess the influence of technical and technological factors on the process of well flushing. The laboratory facility for modeling the well flushing process was designed using similarity criteria ob-tained in accordance with the basic provisions of the theory of dimensions. The developed installation allows you to model and study the influence

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Raghunathan, Nima, Louis François, Eliana Cazetta, Jean-Luc Pitance, Kristel De Vleeschouwer, and Alain Hambuckers. "Deterministic modelling of seed dispersal based on observed behaviours of an endemic primate in Brazil." PLOS ONE 15, no. 12 (2020): e0244220. http://dx.doi.org/10.1371/journal.pone.0244220.

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Plant species models are among the available tools to predict the future of ecosystems threatened by climate change, habitat loss, and degradation. However, they suffer from low to no inclusion of plant dispersal, which is necessary to predict ecosystem evolution. A variety of seed dispersal models have been conceived for anemochorous and zoochorous plant species, but the coupling between vegetation models and seed dispersal processes remains rare. The main challenge in modelling zoochoric dispersal is simulating animal movements in their complex habitat. Recent developments allow straightforw

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Betz-Stablein, Brigid, Martin L. Hazelton, and William H. Morgan. "Modelling retinal pulsatile blood flow from video data." Statistical Methods in Medical Research 27, no. 5 (2016): 1575–84. http://dx.doi.org/10.1177/0962280216665504.

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Modern day datasets continue to increase in both size and diversity. One example of such ‘big data’ is video data. Within the medical arena, more disciplines are using video as a diagnostic tool. Given the large amount of data stored within a video image, it is one of most time consuming types of data to process and analyse. Therefore, it is desirable to have automated techniques to extract, process and analyse data from video images. While many methods have been developed for extracting and processing video data, statistical modelling to analyse the outputted data has rarely been employed. We

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Råman Vinnå, Love, Damien Bouffard, Alfred Wüest, Stéphanie Girardclos, and Nathalie Dubois. "Assessing Subaquatic Mass Movement Hazards: an Integrated Observational and Hydrodynamic Modelling Approach." Water Resources Management 34, no. 13 (2020): 4133–46. http://dx.doi.org/10.1007/s11269-020-02660-y.

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Abstract High-resolution lake and reservoir bathymetric surveys can pinpoint locations that may experience underwater landslides (subaquatic sedimentary mass movements). These can pose a risk to underwater and shoreline infrastructure. This paper outlines an approach for using spatial variation in sedimentary patterns to identify areas susceptible to subaquatic mass movements in lakes and reservoirs. This study focusses on Lake Biel (Switzerland), which has experienced a protracted history of upstream alteration of river flow. Altered flow patterns increase risk of unstable sedimentary feature

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Saunders, Clare. "Insiders, thresholders, and outsiders in west European global justice networks: network positions and modes of coordination." European Political Science Review 6, no. 2 (2013): 167–89. http://dx.doi.org/10.1017/s1755773913000015.

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Since the new millennium, scholars have acclaimed a vigorous global justice movement (GJM). Many accounts have stressed the tolerant identities of those involved in this movement, and/or the movement's horizontal decision-making structure. Consequently, formal organizations are often excluded from analysis, precluding the chance to assess systematically whether they are involved in social movement modes of coordination. The article uses deductive block modelling and inferential statistics on survey data of a broad sample of 208 western European global justice organizations to uncover their mod

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Burbelko, Andriy A., Edward Fraś, Wojciech Kapturkiewicz, and Ewa Olejnik. "Nonequilibrium Kinetics of Phase Boundary Movement in Cellular Automaton Modelling." Materials Science Forum 508 (March 2006): 405–10. http://dx.doi.org/10.4028/www.scientific.net/msf.508.405.

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A mathematical crystallization model in the meso scale (the intermediate dimension scale between interatomic distance in solids and grain size in metals and alloys) is presented with the use of a kinetic-diffusion cellular automaton model. The model considers the non-equilibrium character of real processes of phase transformations, where the kinetic undercooling of the solid-liquid interface is a measure of this non-equilibrium level. Anisotropy of the interface mobility is assumed. The modelling results are compared to the experimental data.

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Jubaedah, Neng E., and Wahyudi W. Parnadi. "Study of Fluid Flow Movement by Using Self Potential Data." IOP Conference Series: Earth and Environmental Science 873, no. 1 (2021): 012082. http://dx.doi.org/10.1088/1755-1315/873/1/012082.

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Abstract The Self-Potential (SP) method is passive method in geophysics which works based on the natural presence of an electric field on the surface due to anomalies below the surface. SP value on surface can be generated by fluid flow through rock pores or fractures. We study fluid flow movement in subsurface using the velocity value of fluid flow derived from SP values measured on surface. For that purpose, we carried out mathematical modelling, connecting the Helmholtz-Smoluchovsky’s electrokinetic potential gradient equation with Darcy’s law. The velocity of fluid flow depends on the intr

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Sinsch, Ulrich. "Movement ecology of amphibians: from individual migratory behaviour to spatially structured populations in heterogeneous landscapes,." Canadian Journal of Zoology 92, no. 6 (2014): 491–502. http://dx.doi.org/10.1139/cjz-2013-0028.

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Both genetic cohesion among local populations of animals and range expansion depend on the frequency of dispersers moving at an interpatch scale. Animal movement has an individual component that reflects behaviour and an ecological component that reflects the spatial organization of populations. The total movement capacity of an individual describes maximum movement distance theoretically achievable during a lifetime, whereas its variation among the members of a local population determines the magnitude of interpatch movements and thus of gene flow between neighbouring patches within metapopul

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Zhu, Qing, Kaijian He, Yingchao Zou, and Kin Keung Lai. "Day-Ahead Crude Oil Price Forecasting Using a Novel Morphological Component Analysis Based Model." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/341734.

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As a typical nonlinear and dynamic system, the crude oil price movement is difficult to predict and its accurate forecasting remains the subject of intense research activity. Recent empirical evidence suggests that the multiscale data characteristics in the price movement are another important stylized fact. The incorporation of mixture of data characteristics in the time scale domain during the modelling process can lead to significant performance improvement. This paper proposes a novel morphological component analysis based hybrid methodology for modeling the multiscale heterogeneous charac

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Bharath, V. G., and Rajashekar Patil. "Solid Modelling Interaction with Sensors for Virtual Reality Welding." MATEC Web of Conferences 144 (2018): 01008. http://dx.doi.org/10.1051/matecconf/201814401008.

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The imperative part of strong displaying in virtual reality framework is to improve the movement of a user with definitive movement control in genuine intelligent condition. In a real environment motion characteristic is based on sensors and servomechanisms where as in virtual reality systems the motion fundamentals are kinematic in nature. To achieve physically correct interactivity suitable dynamic constraints, should be imposed which can be obtained by augmented reality interface. Beyond input and output hardware, the underlying software plays a very important role in virtual reality system

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Mondal, I., R. S. Kumar, B. Habib, and G. Talukdar. "MODELLING FINE SCALE MOVEMENT CORRIDORS FOR THE TRICARINATE HILL TURTLE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 719–25. http://dx.doi.org/10.5194/isprs-archives-xli-b8-719-2016.

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Habitat loss and the destruction of habitat connectivity can lead to species extinction by isolation of population. Identifying important habitat corridors to enhance habitat connectivity is imperative for species conservation by preserving dispersal pattern to maintain genetic diversity. Circuit theory is a novel tool to model habitat connectivity as it considers habitat as an electronic circuit board and species movement as a certain amount of current moving around through different resistors in the circuit. Most studies involving circuit theory have been carried out at small scales on large

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Adeyemo, Victor Elijah, Anna Palczewska, Ben Jones, and Dan Weaving. "Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns." PLOS ONE 19, no. 5 (2024): e0301608. http://dx.doi.org/10.1371/journal.pone.0301608.

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The application of pattern mining algorithms to extract movement patterns from sports big data can improve training specificity by facilitating a more granular evaluation of movement. Since movement patterns can only occur as consecutive, non-consecutive, or non-sequential, this study aimed to identify the best set of movement patterns for player movement profiling in professional rugby league and quantify the similarity among distinct movement patterns. Three pattern mining algorithms (l-length Closed Contiguous [LCCspm], Longest Common Subsequence [LCS] and AprioriClose) were used to extract

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Mondal, I., R. S. Kumar, B. Habib, and G. Talukdar. "MODELLING FINE SCALE MOVEMENT CORRIDORS FOR THE TRICARINATE HILL TURTLE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 719–25. http://dx.doi.org/10.5194/isprsarchives-xli-b8-719-2016.

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Habitat loss and the destruction of habitat connectivity can lead to species extinction by isolation of population. Identifying important habitat corridors to enhance habitat connectivity is imperative for species conservation by preserving dispersal pattern to maintain genetic diversity. Circuit theory is a novel tool to model habitat connectivity as it considers habitat as an electronic circuit board and species movement as a certain amount of current moving around through different resistors in the circuit. Most studies involving circuit theory have been carried out at small scales on large

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