345 research outputs found

    Trans-dimensional inversion of modal dispersion data on the New England Mud Patch

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    © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Bonnel, J., Dosso, S. E., Eleftherakis, D., & Chapman, N. R. Trans-dimensional inversion of modal dispersion data on the New England Mud Patch. IEEE Journal of Oceanic Engineering, 45(1), (2020): 116-130, doi:10.1109/JOE.2019.2896389.This paper presents single receiver geoacoustic inversion of two independent data sets recorded during the 2017 seabed characterization experiment on the New England Mud Patch. In the experimental area, the water depth is around 70 m, and the seabed is characterized by an upper layer of fine grained sediments with clay (i.e., mud). The first data set considered in this paper is a combustive sound source signal, and the second is a chirp emitted by a J15 source. These two data sets provide differing information on the geoacoustic properties of the seabed, as a result of their differing frequency content, and the dispersion properties of the environment. For both data sets, source/receiver range is about 7 km, and modal time-frequency dispersion curves are estimated using warping. Estimated dispersion curves are then used as input data for a Bayesian trans-dimensional inversion algorithm. Subbottom layering and geoacoustic parameters (sound speed and density) are thus inferred from the data. This paper highlights important properties of the mud, consistent with independent in situ measurements. It also demonstrates how information content differs for two data sets collected on reciprocal tracks, but with different acoustic sources and modal content.10.13039/100000006-Office of Naval Research 10.13039/100007297-Office of Naval Research Globa

    Determinación de la capacidad de regulación hídrica de un Typic Hapludands mediante las curvas de retención de humedad y la modelación de sus propiedades hidrofísicas.

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    (Eng) In the watershed Centella , located in the upper river basin of the Dagua - Valle del Cauca, in nine farms with association coffee - banana, coffee - guamo, cane panelera and pastures, the water regulation capacity of the soil was studied by means of humidity retention curves obtained in the laboratory and by modeling its hydrophysical properties in Hydrus 2D. Properties such as texture, bulk density, porosity, organic matter, hydraulic conductivity, infiltration and humidity were determined. Subsequently, moisture retention curves were simulated using the hydraulic models of Van Genuchten, Brooks and Corey, Van Genuchten modified and Kosugi, evaluating the average errors and the dispersion of the data. Agreed to the results it is possible to point out that the soil under study has a high capacity for moisture retention ( > 18%), consequence of the high content of clays ( > 41%) and organic matter ( > 5%), characteristics of the Andisols of the Valle del Cauca. Finally, the best fitting model was compared statistically with the data of the curves obtained in the laboratory, finding that Van Genuchten and Van Genuchten models modified, are the most appropriate for obtaining the retention curves from the hydrophysical properties since they presented a lower mean error (ME) with a value not higher than -0.11 cm 3 / cm 3 and a value of the square root of the mean square error (RMSE) less than 0.11 cm 3 / cm 3 .(Spa) En la microcuenca Centella, ubicada en la cuenca alta del río Dagua - Valle del Cauca, en nueve fincas con asociación café – pláta - no, café - guamo, caña panelera y pastos, se estudió la capacidad de regulación hídrica del suelo mediante curvas de retención de humedad obtenidas en laboratorio y por modelación de sus propiedades hidrofísicas, en Hydrus 2D. Se determin ó textura, densidad aparente, porosidad, materia orgánica, conductividad hidr áulica, infiltración y humedad del suelo . Posteriormente, se simularon las curvas de retención de humedad mediante los modelos hidráulicos de Van Genuchten, Brooks y Corey, Van Genuchten modificado y Kosugi, evaluando los errores medios y la dispersión de los datos. De acuerdo a los resultados es posible señalar que el suelo en estudio tiene una alta capacidad de retención de humedad ( > 18 % ), debido a los altos contenidos de arcilla ( > 41 %) y materia or - gánica ( > 5%) , característico de los Andisoles presentes en el Valle del Cauca. Finalmente, se comparó estadísticamente el modelo de mejor ajuste con los datos de las curvas obtenidas en laboratorio, encontrando que los modelos Van Genuchten y Van Genuchten modificado, son los más apropiados para la obtención de las curvas de retención a partir de propiedades hidrofísicas dado que pre - sentaron un menor error medio (ME) con un valor no superior a -0.11 cm 3 /cm 3 y un valor de la raíz cuadrada del error cuadrático medio (RMSE) menor de 0.11 cm 3 /cm 3

    'Looking Back, Facing Forward: Mistakes and Metaphors'

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    Research exploring representations of the changing city as a political metaphor for concepts of modernity and history utilising painting, printmaking, photography, poetic text and drawing. Retrospective Exhibition of Paintings, Prints & Drawings by Pete Clarke. Victoria Gallery & Museum, Liverpool Universit

    Low Temperature and Low UV Indexes Correlated with Peaks of Influenza Virus Activity in Northern Europe during 2010–2018

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    With the increasing pace of global warming, it is important to understand the role of meteorological factors in influenza virus (IV) epidemics. In this study, we investigated the impact of temperature, UV index, humidity, wind speed, atmospheric pressure, and precipitation on IV activity in Norway, Sweden, Finland, Estonia, Latvia and Lithuania during 2010–2018. Both correlation and machine learning analyses revealed that low temperature and UV indexes were the most predictive meteorological factors for IV epidemics in Northern Europe. Our in vitro experiments confirmed that low temperature and UV radiation preserved IV infectivity. Associations between these meteorological factors and IV activity could improve surveillance and promote development of accurate predictive models for future influenza outbreaks in the region

    Low Temperature and Low UV Indexes Correlated with Peaks of Influenza Virus Activity in Northern Europe during 2010–2018

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    With the increasing pace of global warming, it is important to understand the role of meteorological factors in influenza virus (IV) epidemics. In this study, we investigated the impact of temperature, UV index, humidity, wind speed, atmospheric pressure, and precipitation on IV activity in Norway, Sweden, Finland, Estonia, Latvia and Lithuania during 2010–2018. Both correlation and machine learning analyses revealed that low temperature and UV indexes were the most predictive meteorological factors for IV epidemics in Northern Europe. Our in vitro experiments confirmed that low temperature and UV radiation preserved IV infectivity. Associations between these meteorological factors and IV activity could improve surveillance and promote development of accurate predictive models for future influenza outbreaks in the region

    Apollo-Soyuz pamphlet no. 1: The flight

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    The goals of the Apollo-Soyuz Test Project are described in this first in a series of nine pamphlets designed as a curriculum supplement for teachers, supervisors, curriculum specialists, and textbook writers as well as for the general public. Aspects of the space flight covered include descriptions of the astronaut-cosmonaut meeting and of the spacecraft and landing module; spacecraft launch; control, and rendezvous; crew work schedule; and telemetry. Experiments performed are listed in tables, and their major results are summarized

    Modelling multi-modal language learning: From sentences to words

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    Differential evolution method for mobile robot optimal trajectory planning

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    Bu yayında önerilen yöntemle, mobil robotlarda, çevreden gelen kısıtlamalar (engeller) ve robotun hız ve ivme gibi fiziksel kısıtlamaları dikkate alınarak, önceden görünebilirlik grafik metoduyla (VGM) planlanmış yol üzerinde zaman-optimal yörünge bulunmuştur. Yörüngeler, düz kısımlardan (dönme ivmesi as=0 ve dönme hızı vs=0) ve eğri kısımlardan (öteleme ivmesi at=0 ve öteleme hızı vt= sabit ) oluşturulmuşlardır. Eğri kısımları oluşturmak için sadece q  (dönüş açısı) ve vt (eğri kısım öteleme hızı) parametrelerinin bilinmesi yeterli olmaktadır. Olası tüm eğri kısımlar kümesi (qÎ(0,p]° ve vt [0,40] inç) içerisinden evrimsel bir global optimizasyon metodu olan diferansiyel evrim (DE) ile, engellerle çakışmayan zaman-optimal amaç ölçütünü sağlayan yörüngenin seçilmesi gerçeklenmiştir. Anahtar Kelimeler: Mobil robot, optimizasyon, yörünge planlama, diferansiyel evrim.A method is proposed to find the time optimal trajectory on predefined path of mobile robots, which is found by using visibility graph method. Constraints from environment (obstacles) and physical constraints (i.e. steering and translational accelerations/velocities) are taken into consideration in the method. The planned trajectories are composed of line segments (steering accaleration/deceleration as=0 and velocity vs0=0) and curve segments (translational acceleration/deceleration at=0 and velocity vt= vt0). The structures of the curves are determined by only two parameters: q, turn angles, these are produced by visibility graph method and vt, translational velocities on the curve segments, these are the elements of the parameter vector. A curves set is formed by all possible curves in parameters range qÎ(0,p]° and vt [0,40] inch. Then diferrential evolution (DE), that is an evolutionary optimizastion method is used to find time optimal trajectory from this set. The curve segments are formed in two ways: a) serial expansion of the robot?s equations (Mclauren series) and b) artificial neural networks (YSA). YSA model is used to form the curves instead of serial expansion of the robot?s equations. Thus, the optimization time is decreased to approximately 1/7. There is no need to a controller for tracking the planned trajectory. Keywords: Mobile robot, optimisation, trajectory planning, differential evolution

    Inside College of Humanities and Fine Arts, Summer 2009

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    Inside this issue: -- Message from the Dean-- The Times They Are A-Changin-- Research: It\u27s Not Just for Faculty Anymore-- Student Excellence-- Faculty Excellence-- Around the College-- What Ever Happened to ?-- Emeritus Faculty Tribute-- James Lubker Recognized-- Class Notes-- Message from the Development Directorhttps://scholarworks.uni.edu/insidechfa/1001/thumbnail.jp
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