50 research outputs found
On Small Satellites for Oceanography: A Survey
The recent explosive growth of small satellite operations driven primarily
from an academic or pedagogical need, has demonstrated the viability of
commercial-off-the-shelf technologies in space. They have also leveraged and
shown the need for development of compatible sensors primarily aimed for Earth
observation tasks including monitoring terrestrial domains, communications and
engineering tests. However, one domain that these platforms have not yet made
substantial inroads into, is in the ocean sciences. Remote sensing has long
been within the repertoire of tools for oceanographers to study dynamic large
scale physical phenomena, such as gyres and fronts, bio-geochemical process
transport, primary productivity and process studies in the coastal ocean. We
argue that the time has come for micro and nano satellites (with mass smaller
than 100 kg and 2 to 3 year development times) designed, built, tested and
flown by academic departments, for coordinated observations with robotic assets
in situ. We do so primarily by surveying SmallSat missions oriented towards
ocean observations in the recent past, and in doing so, we update the current
knowledge about what is feasible in the rapidly evolving field of platforms and
sensors for this domain. We conclude by proposing a set of candidate ocean
observing missions with an emphasis on radar-based observations, with a focus
on Synthetic Aperture Radar.Comment: 63 pages, 4 figures, 8 table
Shear band localization via local J2 continuum damage mechanics
This work describes a novel formulation for the solution of problems involving shear band localization using a local isotropic J2 continuum damage model and mixed linear simplex (triangles and tetrahedral). A simple isotropic local J2 damage constitutive model is considered, either with linear or exponential softening
A mixed Finite Element formulation for incompressibility using linear displacement and pressure interpolations
In this work shall be presented a stabilized finite element method to deal with incompressibility
in solid mechanics. A mixed formulation involving pressure and displacement fields
is used and a continuous linear interpolation is considered for both fields. To overcome
the Ladyzhenskaya-Babuska-Brezzi condition, a stabilization technique based on the orthogonal
sub-grid scale method is introduced. The main advantage of the method is the
possibility of using linear triangular finite elements, which are easy to generate for real
industrial applications. Results are compared with several improved formulations, as the
enhanced assumed strain method (EAS) and the Q1P0-formulation, in nearly incompressible
problems and in the context of linear elasticity and J2-plasticity
Analysis of vineyard differential management zones and relation to vine development, grape maturity and quality
The objective of research was to analyse the potential of Normalized Difference Vegetation Index (NDVI) maps from satellite images, yield maps and grapevine fertility and load variables to delineate zones with different wine grape properties for selective harvesting. Two vineyard blocks located in NE Spain (Cabernet Sauvignon and Syrah) were analysed. The NDVI was computed from a Quickbird-2 multi-spectral image at veraison (July 2005). Yield data was acquired by means of a yield monitor during September 2005. Other variables, such as the number of buds, number of shoots, number of wine grape clusters and weight of 100 berries were sampled in a 10 rows × 5 vines pattern and used as input variables, in combination with the NDVI, to define the clusters as alternative to yield maps. Two days prior to the harvesting, grape samples were taken. The analysed variables were probable alcoholic degree, pH of the juice, total acidity, total phenolics, colour, anthocyanins and tannins. The input variables, alone or in combination, were clustered (2 and 3 Clusters) by using the ISODATA algorithm, and an analysis of variance and a multiple rang test were performed. The results show that the zones derived from the NDVI maps are more effective to differentiate grape maturity and quality variables than the zones derived from the yield maps. The inclusion of other grapevine fertility and load variables did not improve the results.El objetivo de la investigación fue analizar el potencial de mapas del índice de vegetación de la diferencia normalizada (NDVI) a partir de imágenes de satélite, mapas de cosecha y variables de fertilidad y carga de las cepas para delinear zonas de manejo con diferentes propiedades de madurez y calidad de la uva. Se estudiaron dos parcelas localizadas en el NE de España (Cabernet Sauvignon y Syrah). El NDVI fue derivado de una imagen multiespectral Quickbird-2 adquirida en el envero (julio 2005). Los datos de cosecha fueron obtenidos por medio de un monitor de rendimiento en septiembre de 2005. Otras variables, tales como el número de yemas, número de sarmientos, número de racimos y peso de 100 bayas fueron muestreados en un marco de 10 filas × 5 cepas. Estas variables fueron usadas, en combinación con el NDVI, para definir los aglomerados (clusters) como alternativa a los derivados de los mapas de cosecha. Dos días antes de la vendimia se muestreó la uva. Las propiedades analizadas fueron el grado alcohólico probable, el pH del mosto, la acidez total, los polifenoles totales, el color, los antocianos y los taninos. Las variables de entrada, solas o en combinación, fueron aglomeradas (2 y 3 aglomerados) por medio del algoritmo ISODATA, llevando a cabo después un análisis de varianza y de rangos múltiples. Los resultados muestran que las zonas derivadas de los mapas de NDVI son más efectivos para diferenciar uvas con diferentes propiedades de madurez y calidad que no las zonas derivadas de los mapas de cosecha. La inclusión de otras variables de fertilidad y carga de las cepas no mejoró los resultados
Analyzing factors that influence the folk use and phytonomy of 18 medicinal plants in Navarra
BACKGROUND: This article analyzes whether the distribution or area of use of 18 medicinal plants is influenced by ecological and cultural factors which might account for their traditional use and/or phytonymy in Navarra. This discussion may be helpful for comparative studies, touching as it does on other ethnopharmacological issues: a) which cultural and ecological factors affect the selection of medicinal plants; b) substitutions of medicinal plants in popular medicine; c) the relation between local nomenclature and uses. To analyze these questions, this paper presents an example of a species used for digestive disorders (tea and camomile: Jasonia glutinosa, J. tuberosa, Sideritis hyssopifolia, Bidens aurea, Chamaemelum nobile, Santolina chamaecyparissus...), high blood pressure (Rhamnus alaternus, Olea europaea...) or skin diseases (Hylotelephium maximum, H. telephium, Anagallis arvensis, A. foemina). METHODS: Fieldwork began on January 2004 and continued until December 2006. During that time we interviewed 505 informants in 218 locations in Navarra. Information was collected using semi-structured ethnobotanical interviews, and we subsequently made maps using Arc-View 8.0 program to determine the area of use of each taxon. Each map was then compared with the bioclimatic and linguistic map of Navarra, using the soil and ethnographic data for the region, and with other ethnobotanical and ethnopharmacological studies carried out in Europe. RESULTS: The results clearly show that ecological and cultural factors influence the selection of medicinal plants in this region. Climate and substrate are the most important ecological factors that influence the distribution and abundance of plants, which are the biological factors that affect medicinal plant selection. CONCLUSION: The study of edaphological and climatological factors, on the one hand, and culture, on the other, can help us to understand why a plant is replaced by another one for the same purposes, either in the same or in a different area. In many cases, the cultural factor means that the use of a species is more widespread than its ecological distribution. This may also explain the presence of synonyms and polysemies which are useful for discussing ethnopharmacological data
Thermomechanical couplings in shape memory alloy materials
In this work we address several theoretical and computational issues which are related to the thermomechanical modeling of shape memory alloy materials. More specifically, in this paper we revisit a non-isothermal version of the theory of large deformation generalized plasticity which is suitable for describing the multiple and complex mechanisms occurring in these materials during phase transformations. We also discuss the computational implementation of a generalized plasticity based constitutive model and we demonstrate the ability of the theory in simulating the basic patterns of the experimentally observed behavior by a set of representative numerical examples
Optimizing the procedure of grain nutrient predictions in barley via hyperspectral imaging
Hyperspectral imaging enables researchers and plant breeders to analyze various traits of interest like nutritional value in high throughput. In order to achieve this, the optimal design of a reliable calibration model, linking the measured spectra with the investigated traits, is necessary. In the present study we investigated the impact of different regression models, calibration set sizes and calibration set compositions on prediction performance. For this purpose, we analyzed concentrations of six globally relevant grain nutrients of the wild barley population HEB-YIELD as case study. The data comprised 1,593 plots, grown in 2015 and 2016 at the locations Dundee and Halle, which have been entirely analyzed through traditional laboratory methods and hyperspectral imaging. The results indicated that a linear regression model based on partial least squares outperformed neural networks in this particular data modelling task. There existed a positive relationship between the number of samples in a calibration model and prediction performance, with a local optimum at a calibration set size of ~40% of the total data. The inclusion of samples from several years and locations could clearly improve the predictions of the investigated nutrient traits at small calibration set sizes. It should be stated that the expansion of calibration models with additional samples is only useful as long as they are able to increase trait variability. Models obtained in a certain environment were only to a limited extent transferable to other environments. They should therefore be successively upgraded with new calibration data to enable a reliable prediction of the desired traits. The presented results will assist the design and conceptualization of future hyperspectral imaging projects in order to achieve reliable predictions. It will in general help to establish practical applications of hyperspectral imaging systems, for instance in plant breeding concepts
Cluster Ages to Reconstruct the Milky Way Assembly (CARMA): I. The final word on the origin of NGC 6388 and NGC 6441
We present CARMA, the Cluster Ages to Reconstruct the Milky Way Assembly project, the aim of which is to determine precise and accurate age measurements for the entire system of known Galactic globular clusters (GCs) and to use them to trace the most significant merger events experienced by the Milky Way. The strength of CARMA relies on the use of homogeneous photometry, theoretical isochrones, and statistical methods, which will enable us to define a systematic uncertainty-free chronological scale for the complete sample of Milky Way GCs. In this paper, we describe the CARMA framework in detail, and present a first application on a sample of six metal-rich GCs, with the aim being to unequivocally elucidate the debated origin of NGC 6388 and NGC 6441. Our results demonstrate that this pair of clusters is coeval with another four systems that have a clear in situ origin. Moreover, their location in the age- metallicity plane matches that occupied by in situ field stars. The accurate age comparison enabled by the CARMA methodology rules out the possibility that NGC 6388 and NGC 6441 were accreted as part of a past merger event
Numerical modeling of the thermal contact in metal forming processes
Heat flow across the interface of solid bodies in
contact is an important aspect in several engineering applications.
This work presents a finite element model for the
analysis of thermal contact, which takes into account the
effect of contact pressure and gap dimension in the heat
flow across the interface between two bodies. Additionally,
the frictional heat generation is also addressed, which
is dictated by the contact forces predicted by the mechanical
problem. The frictional contact problem and thermal
problem are formulated in the frame of the finite element
method. A new law is proposed to define the interfacial heat
transfer coefficient (IHTC) as a function of the contact pressure
and gap distance, enabling a smooth transition between
two contact status (gap and contact). The staggered scheme
used as coupling strategy to solve the thermomechanical
problem is briefly presented. Four numerical examples are presented to validate the finite element model and highlight
the importance of the proposed law on the predicted
temperature.The authors gratefully acknowledge the financial
support of the Portuguese Foundation for Science and Technology
(FCT) under the project PTDC/EMS-TEC/1805/2012 and by
FEDER funds through the program COMPETE Programa Operacional
Factores de Competitividade, under the project CENTRO-07-0224-
FEDER-002001 (MT4MOBI). The second author is also grateful to the
FCT for the postdoctoral grant SFRH/BPD/101334/2014. The authors
would like to thank Prof. A. Andrade-Campos for helpful contributions
on the development of the finite element code presented in this work.info:eu-repo/semantics/publishedVersio