Academic literature on the topic 'Movement data modelling'

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Journal articles on the topic "Movement data modelling"

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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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Dissertations / Theses on the topic "Movement data modelling"

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McLellan, Christopher Richard. "Statistical modelling of home range and larvae movement data." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/14202.

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In this thesis, we investigate two di erent approaches to animal movement modelling; nite mixture models, and di usion processes. These models are considered in two di erent contexts, rstly for analysis of data obtained in home range studies, and then, on a much smaller scale, modelling the movements of larvae. We consider the application of mixture models to home range movement data, and compare their performance with kernel density estimators commonly used for this purpose. Mixtures of bivariate normal distributions and bivariate t distributions are considered, and the latter are found to be
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VITRANO, Angela. "Modelling Spatio-Temporal Elephant Movement Data: a Generalized Additive Mixed Models Framework." Doctoral thesis, Università degli Studi di Palermo, 2014. http://hdl.handle.net/10447/90988.

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This thesis focuses on understanding how environmental factors influence elephant movement and in investigating the spatio-temporal patterns. The thesis analyses movement data of some African elephants (Loxodonta Africana) living in the Kruger National Park and its associated private reserves of South Africa. Due to heterogeneity among elephants, and nonlinear relationships between elephant movement and environmental variables, Generalized Additive Mixed Models (GAMMs) were employed. Results showed delayed effects of rainfall and temperature and particular trends in time and space.
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Eriksson, Adam, and Hugo Uppling. "Applying Human-scale Understanding to Sensor-based Data : Generating Passive Feedback to Understand Urban Space Use." Thesis, Uppsala universitet, Byggteknik och byggd miljö, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447118.

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The aim of this thesis is to investigate how parametrization of large-scale person movement data can contribute to describing the use of urban space. Given anonymous coordinate and timestamp data from a sensor observing an open-air mall, movement-based parameters are selected according to public life studies, behavioral mapping, and space syntax tools. The thesis aim is operationalized by answering how well the parametrizations perform in capturing urban space use, as well as investigating how the use is described when applying the parameterized data in selected urban space use tools. Also, th
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Hansson, Mikael. "From Matter to Data and Back Again : Enabling Agency through Digital Fabrication." Thesis, Umeå universitet, Institutionen för informatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149543.

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Digital fabrication technologies such as 3D printers entail a radical change to the traditional consumer-producer paradigm. Combined with other recent developments, self-styled Makers design and fabricate sophisticated devices and interactive technologies that would otherwise never have existed. However, stopping the uninitiated novice from making use of this potential is complex CAD software, and a high barrier to entry. In this study a series of workshops explore the potential of combining traditional handicraft materials – such as clay, paper and fabric – with 3D scanning to enable novices
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Pout, Alastair. "Modelling the movements of the Eurasian sparrowhawk Accipiter nisus from radio-tracking data." Thesis, University of Aberdeen, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430054.

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This thesis explores ways of modelling of animal movement that are applicable to empirical data, using the Eurasian sparrowhawk <i>Accipiter nisus</i> as the model species. Radio-tracking data on sparrowhawks were gathered during the breeding seasons of 2002 and 2003 in rural Aberdeenshire. In all, 15 sparrowhawks were tracked including provisioning males, females, non-breeding adults and dispersing juveniles. An analysis of quantified movements’ characteristics (move length, stopping times and distance from the nest site) in relation to behavioural, climatic and temporal variables, aggregated
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McIntosh, Sam. "Modelling player performance data for organisational decision support in professional Australian Rules football." Thesis, 2020. https://vuir.vu.edu.au/40987/.

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Within contemporary professional team sport organisations, operational decisions are increasingly becoming informed by objective data. Within the elite competition of Australian Rules football, the Australian Football League (AFL), an abundance of player and team performance data is collected and reported. However, the extent to which this data has been used in the team sport notational literature to inform organisational decision-making is limited. This thesis utilises a particular algorithmic player rating system, the ‘AFL Player Ratings’, and the subcategories used to construct this metric.
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Griffiths, CA. "Using electronic tagging data to investigate the individual-, population- and community-level consequences of movement in free-roaming marine fish." Thesis, 2019. https://eprints.utas.edu.au/31730/1/Griffiths_whole_thesis.pdf.

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Tagging studies are now commonplace in ecology. Technological advances in telemetry devices have revolutionised our ability to track the movements of individual animals over vast spatial scales. This is especially true in marine ecology, where animals move through a world that is otherwise unobservable. The aim of many tagging studies is that by understanding the movements of the few we might gain some meaningful inference about the movements of the many, with clear consequences for conservation and management. Achieving this aim requires the scaling of inferences from the individual-to the po
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Handley, Daniel Charles. "The modelling and optimal design of a three degree-of-freedom XYθz micro-motion stage". 2007. http://hdl.handle.net/2440/48304.

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This thesis presents an investigation of the modelling and optimal design of a particular 3-degree-of-freedom (DOF) XYθz micro-motion stage. This stage provides micron-scale motion in X and Y directions and a rotation about the Z-axis. Such a stage can be used for applications where positioning of components with micrometre, or even nanometre positioning accuracy is required. Some applications are; the positioning of samples in a scanning-electron-microscope; the positioning of masks in lithography; aligning fibre-optics and lasers; and manipulation of micro-scale objects in micro-biology or m
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Handley, Daniel Charles. "The modelling and optimal design of a three degree-of-freedom XYθz micro-motion stage". Thesis, 2006. http://hdl.handle.net/2440/48304.

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This thesis presents an investigation of the modelling and optimal design of a particular 3-degree-of-freedom (DOF) XYθz micro-motion stage. This stage provides micron-scale motion in X and Y directions and a rotation about the Z-axis. Such a stage can be used for applications where positioning of components with micrometre, or even nanometre positioning accuracy is required. Some applications are; the positioning of samples in a scanning-electron-microscope; the positioning of masks in lithography; aligning fibre-optics and lasers; and manipulation of micro-scale objects in micro-biology or m
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Books on the topic "Movement data modelling"

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Schifano, Norma. Macrovariation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804642.003.0004.

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Chapter 4 provides an analysis of the patterns of default verb movement identified in Chapters 2 and 3. First, it shows that the attested macro-typologies are not accidental choices of the languages, but rather stem from a compensatory mechanism between syntax and morphology in licensing the Tense, Aspect, and Mood (TAM) interpretation of the verb, whereby verb movement only occurs in cases of poor paradigmatic instantiation of TAM, that is in cases when TAM chief values are not expressed by synthetic and non-syncretic paradigms. Second, a technical implementation of this proposal is offered w
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Book chapters on the topic "Movement data modelling"

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Ronchi, Enrico, and Daniel Nilsson. "Pedestrian Movement in Smoke: Theory, Data and Modelling Approaches." In Crowd Dynamics, Volume 1. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05129-7_3.

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Porshnev, Alexander, Ilya Redkin, and Nikolay Karpov. "Modelling Movement of Stock Market Indexes with Data from Emoticons of Twitter Users." In Communications in Computer and Information Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25485-2_10.

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Prike, Toby. "Open Science, Replicability, and Transparency in Modelling." In Towards Bayesian Model-Based Demography. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83039-7_10.

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AbstractRecent years have seen large changes to research practices within psychology and a variety of other empirical fields in response to the discovery (or rediscovery) of the pervasiveness and potential impact of questionable research practices, coupled with well-publicised failures to replicate published findings. In response to this, and as part of a broader open science movement, a variety of changes to research practice have started to be implemented, such as publicly sharing data, analysis code, and study materials, as well as the preregistration of research questions, study designs, a
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Kumar, Praveen, P. Priyanka, K. V. Uday, and Varun Dutt. "Predictive Modelling of Himalayan Soil Movement: Addressing Imbalance with Synthetic Variational Autoencoder Data in Kamand Valley." In Proceedings of Ninth International Congress on Information and Communication Technology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3299-9_11.

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Widiputra, Harya, Russel Pears, and Nikola Kasabov. "Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement." In Advances in Neuro-Information Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02490-0_150.

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Brillinger, David R., and Brent S. Stewart. "Elephant Seal Movements: Dive Types and Their Sequences." In Modelling Longitudinal and Spatially Correlated Data. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0699-6_24.

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Liesenfeld, Roman, Ingmar Nolte, and Winfried Pohlmeier. "Modelling financial transaction price movements: a dynamic integer count data model." In High Frequency Financial Econometrics. Physica-Verlag HD, 2008. http://dx.doi.org/10.1007/978-3-7908-1992-2_8.

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Arbanas, Željko, Josip Peranić, Vedran Jagodnik, Martina Vivoda Prodan, and Nina Čeh. "Remedial Measures Impact on Slope Stability and Landslide Occurrence in Small-Scale Slope Physical Model in 1 g Conditions." In Progress in Landslide Research and Technology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44296-4_9.

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AbstractPhysical modelling of landslides by analysing the behaviour of small-scale landslide models subjected to artificial rainfall can be divided into modelling under 1 g conditions and under increased acceleration (n times gravity) in a centrifuge. Physical modelling of landslide initiation began in 1970s in Japan on scaled natural slope models and after initial experiences with field and laboratory research, the small-scale landslide modelling has found a wide application around the world in different aspects of landslide investigations, analysing different types of landslides, different t
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Italia, Matteo, and Fabio Dercole. "In Silico Modelling, Analysis, and Control of Complex Diseases: Addressing Clinical Questions, Personalized Treatments, and Healthcare Management." In SpringerBriefs in Applied Sciences and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80268-3_8.

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Abstract Human diseases are complex and dynamic. Understanding and controlling diseases require interdisciplinary approaches, aided by advances in digital technology, data analysis, and computational power. Specifically, in his Ph.D. Thesis, Matteo Italia has developed in silico models to study cancers, Restless Legs Syndrome (RLS), and Covid-19. The goals are to answer clinical questions, optimize treatments, and manage healthcare. For cancers, the developed models suggest that dynamic and personalized protocols can overcome drug resistance more effectively than static protocols. For neurobla
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Parvini, Navid. "Textual Analysis in Agriculture Commodities Market." In Springer Actuarial. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80574-5_11.

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Abstract This chapter is concerned with textual and sentiment analysis in agriculture commodities market using the natural language processing (NLP) methods. There are extensive research on textual and sentiment analysis in financial markets however, most of them are focusing on equity market and a minority on other commodities like energy commodities. Therefore, this chapter first reviews research works on textual and sentiment analysis in agriculture market in general. Then, presents textual analysis methods that can be carried out to study the effect of textual data and sentiment in agricul
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Conference papers on the topic "Movement data modelling"

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"Data-driven probabilistic logic programming applied to movement analytics in manufacturing." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.tartaglia.

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"Indoor movement data analytics based on machine learning for manufacturing assembly line." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.rana.

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Ketteringham, Laurence P., Simon A. Neild, Rick A. Hyde, Rosie J. S. Jones, and Angela Davies Smith. "Intention Tremor in Multiple Sclerosis: Measuring and Modelling Arm Dynamics and Elbow Torque." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66140.

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This paper reports on a project to measure and control tremor in individuals with multiple sclerosis (MS). It discusses systems for measuring and modelling upper limb movements and intention tremor, together with initial movement measurement and torque modelling data. The system uses microelectromechanical systems (MEMS) sensors to measure movements of the upper limb representative of everyday tasks. Surface electromyogram (EMG) measurements are taken simultaneously to provide gross muscle activity data. A dynamic model is used to simulate the movements, allowing particular sites to be studied
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"A basic machine learning method for identifying individual biological state and ecological context from movement data." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.schaerf.

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Teodoro, M. Filomena, Cardoso Pereira, Paulino Henriques, and António Canas. "Prediction of Ship Movement Using a Kalman Filter Algorithm." In The 6th International Conference on Numerical Modelling in Engineering. Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-ipm9w5.

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The Automatic identification system is a system used globally by ships that allows the easy identification of other surface contacts (also equipped with an automatic identification system equipment). The main objective of the present work is to validate experimentally the prediction of a ship's movement. A Kalman Filter algorithm, a recursive technique widely used in several scientific areas of study including navigation, is designed to estimate and predict the movement. In this work, a non-linear kinematic model is proposed to analyse and predict the movement of an automatic identification sy
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Szuster, Piotr, and Joanna Kolodziej. "Convective Cells Algorithm For Storm Data Tracking." In 37th ECMS International Conference on Modelling and Simulation. ECMS, 2023. http://dx.doi.org/10.7148/2023-0535.

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Atmospheric conditions, such as thunderstorms, are significant factors that influence human activity. Harsh weather may severely impact both daily life and professional activities. Severe thunderstorms are a considerable hazard -- they can generate heavy rainfall, high winds, large hail and tornadoes. Tracking of thunderstorms is necessary to gain situational awareness - knowledge of present and future storm-related threats and their significance. Thunderstorms are weather phenomena associated with cumulonimbus clouds. Those clouds are formed in deep, moist convection and are composed of liqui
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"Impact of rainfall fluctuations and temperature variations on people movement in Sub-Saharan Africa: A Time Series Analysis of data from Somalia and Ethiopia." In 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2017. http://dx.doi.org/10.36334/modsim.2017.a5.hassan.

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Li, Yingguang, Jing Zhou, and Di Li. "A new concept to improve microwave heating uniformity through data-driven process modelling." In Ampere 2019. Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/ampere2019.2019.9753.

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For a long time, the heating pattern of the workpiece within a multimode microwave oven was considered to be highly sophisticated. As a consequence, the uneven microwave heating problem can only be partly alleviated by a random movement between the electromagnetic field and the workpiece. In this paper, we reported that the heating pattern has a specific correspondence with microwave system settings. The influence factor of the heating pattern and the corresponding mechanism were systematically studied by both theoretical analysis and experimental investigations. On this basis, a data-driven p
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Rykkje, Thorstein R., Tord Tørressen, and Håvard Løkkebø. "Modelling Buoy Motion at Sea." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10437.

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Abstract This project creates a model to assess the motion induced on a buoy at sea, under wave conditions. We use the Moving Frame Method (MFM) to conduct the analysis. The MFM draws upon concepts and mathematics from Lie group theory — SO(3) and SE(3) — and Cartan’s notion of Moving Frames. This, together with a compact notation from geometrical physics, makes it possible to extract the equations of motion, expeditiously. This work accounts for the masses and geometry of all components and for buoyancy forces and added mass. The resulting movement will be displayed on 3D web pages using WebG
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Matthiesen, Sven, Tobias Schäfer, and Sebastian Mangold. "Modelling and Simulation of the Hand-Arm-System During Impact Influences." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89467.

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Most common models of hand-arm systems describe the mechanical response by low accelerations and short movements. The focus of this paper is on impacts (over 4.000 m/s2) to the human hand-arm system, in this case caused by a bolt setting device. To develop an accurate model of the hand-arm system, the force needed to be measured without to influence the interaction. Because of the very short time period it is not possible to measure the reaction force directly. To investigate the effects of different operators on the behavior of the power tool, a two-degree-of-freedom model of hand-arm-systems
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Reports on the topic "Movement data modelling"

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Robert, Gillian. PR-420-153722-R01 Pipeline Right-of-Way Ground Movement Monitoring from InSAR. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011463.

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Longwall mining induces large surface motion that may impact active pipelines. Typical remediation for longwall mining involves shutting down and exposing the pipeline. The use of InSAR has the potential to provide accurate measurements confirming the expected ground movement that will occur with the mining operations. Used correctly, with an appropriate survey design, InSAR can provide extremely high densities of ground movement over time. Exploiting the wide-area capabilities of InSAR could become an important part of integrity management for pipelines where longwall mining is a consideratio
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Lenhardt, Amanda. Evidence on the Effectiveness of Covid-19 International Travel Measures. Institute of Development Studies, 2022. http://dx.doi.org/10.19088/k4d.2022.054.

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Evidence on the effectiveness of travel measures to prevent or slow the spread of Covid-19 and guidance on how and when to apply these measures is limited and the results are mixed. Given the social and economic disruptions that these measures can have, and their potential adverse effects on preventing the spread of the disease, WHO among others have cautioned implementing measures that are not supported by robust evidence. The scope of the search for this report was broad, covering all reported international travel restrictions to contain or slow the spread of Covid-19 and without geographica
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