Metodología del análisis de imágenes digitales para el estudio del contenido de humedad en vertisoles

Desde finales del siglo pasado, el procesamiento y análisis de imágenes digitales, se ha convertido en una poderosa herramienta para la investigación de las propiedades del suelo a múltiples resoluciones, sin embargo todavía no existen los mejores resultados en cuanto a estos trabajos. El principal problema para investigar el drenaje vertical a partir de la distribución de humedad en un perfil de vertisol es la búsqueda de métodos factibles que usen este procedimiento. El objetivo general es implementar una metodología para el procesamiento y análisis de imágenes digitales, que permita caracterizar la distribución del contenido de humedad de un perfil de vertisol. Para el estudio, doce calicatas fueron excavadas en un Mazic Pellic Vertisol, seis de ellas en mayo 13/2011 y el resto en mayo 19/2011 después de moderados eventos de lluvia. Las imágenes RGB de los perfiles fueron tomadas con una cámara Kodak™; con tamaños seleccionados de 1600 x 945 píxeles cada una fue procesada para homogeneizar el brillo y se aplicaron filtros suavizadores de diferentes tamaños de ventana, hasta obtener el óptimo. Cada imagen se dividió en sus matrices componentes, seleccionando los umbrales de cada una para ser aplicado y obtener el patrón digital binario. Este último fue analizado a través de la estimación de dos exponentes fractales: dimensión de conteo de cajas (DBC) y dimensión fractal de interfase húmedo seco (Di). Además, fueron determinados tres coeficientes prefractales a la máxima resolución: número total de cajas interceptados en el plano del patrón (A), la lagunaridad fractal (λ1) y la entropía de Shannon (S1). Para todas las imágenes obtenidas, basado en la entropía, los análisis de clúster y de histogramas, el filtro espacial de 9x9 resultó ser el de tamaño de ventana óptimo. Los umbrales fueron seleccionados a partir del carácter bimodal de los histogramas. Los patrones binarios obtenidos mostraron áreas húmedas (blancas) y secas (negras) que permitieron su análisis. Todos los parámetros obtenidos mostraron diferencias significativas entre ambos conjuntos de patrones espaciales. Mientras los exponentes fractales aportan información sobre las características de llenado del patrón de humedad, los coeficientes prefractales representan propiedades del suelo investigado. La lagunaridad fractal fue el mejor discriminador entre los patrones de humedad aparente del suelo. ABSTRACT From last century, digital image processing and analysis was converted in a powerful tool to investigate soil properties at multiple resolutions, however, the best final procedure in these works not yet exist. The main problem to study vertical drainage from the moisture distribution, on a vertisol profile, is searching for suitable methods using these procedures. Our aim was to design a digital image processing methodology and its analysis to characterize the moisture content distribution of a vertisol profile. In this research, twelve soil pits were excavated on a bare Mazic Pellic Vertisol, six of them in May 13/2011 and the rest in May 19/2011 after a moderate rainfall event. Digital RGB images were taken from each vertisol pit using a Kodak™ camera selecting a size of 1600x945 pixels. Each soil image was processed to homogenized brightness and then a spatial filter with several window sizes was applied to select the optimum one. The RGB image obtained were divided in each matrix color selecting the best thresholds for each one, maximum and minimum, to be applied and get a digital binary pattern. This one was analyzed by estimating two fractal scaling exponents: box counting dimension (DBC

Methodology of image analysis for study of the vertisols moisture content

The main problem to study vertical drainage from the moisture distribution, on a vertisol profile, is searching for suitable methods using these procedures. Our aim was to design a digital image processing methodology and its analysis to characterize the moisture content distribution of a vertisol profile. In this research, twelve soil pits were excavated on a ba re Mazic Pellic Vertisols ix of them in May 13/2011 and the rest in May 19 /2011 after a moderate rainfall event. Digital RGB images were taken from each vertisol pit using a Kodak? camera selecting a size of 1600x945 pixels. Each soil image was processed to homogenized brightness and then a spatial filter with several window sizes was applied to select the optimum one. The RGB image obtained were divided in each matrix color selecting the best thresholds for each one, maximum and minimum, to be applied and get a digital binary pattern. This one was analyzed by estimating two fractal scaling exponents box counting dimension D BC) and interface fractal dimension (D) In addition, three pre-fractal scaling coefficients were determinate at maximum resolution: total number of boxes intercepting the foreground pattern (A), fractal lacunarity (?1) and Shannon entropy S1). For all the images processed the spatial filter 9x9 was the optimum based on entropy, cluster and histogram criteria. Thresholds for each color were selected based on bimodal histograms.

Learning 3D structure from 2D images using LBP features

An automatic machine learning strategy for computing the 3D structure of monocular images from a single image query using Local Binary Patterns is presented. The 3D structure is inferred through a training set composed by a repository of color and depth images, assuming that images with similar structure present similar depth maps. Local Binary Patterns are used to characterize the structure of the color images. The depth maps of those color images with a similar structure to the query image are adaptively combined and filtered to estimate the final depth map. Using public databases, promising results have been obtained outperforming other state-of-the-art algorithms and with a computational cost similar to the most efficient 2D-to-3D algorithms.

Self-assembled monolayers from a designed combinatorial library of de novo β-sheet proteins

A variety of naturally occurring biomaterials owe their unusual structural and mechanical properties to layers of β-sheet proteins laminated between layers of inorganic mineral. To explore the possibility of fabricating novel two-dimensional protein layers, we studied the self-assembly properties of de novo proteins from a designed combinatorial library. Each protein in the library has a distinct 63 amino acid sequence, yet they all share an identical binary pattern of polar and nonpolar residues, which was designed to favor the formation of six-stranded amphiphilic β-sheets. Characterization of proteins isolated from the library demonstrates that (i) they self assemble into monolayers at an air/water interface; (ii) the monolayers are dominated by β-sheet secondary structure, as shown by both circular dichroism and infrared spectroscopies; and (iii) the measured areas (500- 600 Å2) of individual protein molecules in the monolayers match those expected for proteins folded into amphiphilic β-sheets. The finding that similar structures are formed by distinctly different protein sequences suggests that assembly into β-sheet monolayers can be encoded by binary patterning of polar and nonpolar amino acids. Moreover, because the designed binary pattern is compatible with a wide variety of different sequences, it may be possible to fabricate β-sheet monolayers by using combinations of side chains that are explicitly designed to favor particular applications of novel biomaterials.

Síntese de óxidos metálicos binários suportados em carbono amorfo (printex 6L) para a produção eletroquímica de peróxido de hidrogênio (H2O2)

O presente trabalho visa o estudo da eletrossíntese de H2O2 a partir da reação de redução de oxigênio (RRO) utilizando carbono Printex 6L modificado com óxidos binários compostos de nióbio, molibdênio e paládio, síntetizados pelo método dos precursores poliméricos. A análise dos materiais preparados foi feita a partir de experimentos de análise termogravimétrica (do inglês, TGA), fluorescência de raios X (FRX) e também de difração de raios X (DRX). As temperaturas de síntese foram escolhidas a partir dos resultados de TGA e tendo como temperatura máxima de 400 °C. As análises dos espectros de emissão de FRX mostraram a eficiência na incorporação dos materiais na matriz de carbono. Experimentos de DRX mostraram a presença de fases cristalinas de MoO2 e Nb2 O5 e PdO, e em comparação aos resultados da técnica de voltametria cíclica, existem pares redox que podem ser associados as transições dos metais nos estados de oxidação de +4 e +5, para molibdênio e nióbio, respectivamente e do estado +2 para o paládio. Nos experimentos de voltametria de varredura linear pode-se observar a tendência de maior geração de H2O2 pelo material com teor de 1% NbMo quando comparado com o carbono Printex 6L, de modo que foram calculadas as eficiências de geração de H2O2 , obtendo um resultado de 55,5% para o modificador de 1% NbMo comparado com 47,4% para o Printex 6L, e também de número de elétrons envolvidos na reação com um valor de 2,9 para o material de 1% e 3,1 para o carbono Printex. As análises das curvas de Koutechy-Levich confirmam os resultados anteriores. Análises em condições reduzidas na síntese orgânica corroboraram a melhor eficiência do material de 1% para o material com nióbio e molibdênio e revelaram a também a melhora eletrocatalítica do carbono quando incorporado com óxidos mistos de nióbio e paládio, sendo o melhor resultado expresso no material contendo 5% de nióbio e paládio, na proporção molar de 95 para 5% de cada elemento, respectivamente.

Integrated visual perception architecture for robotic clothes perception and manipulation

This thesis proposes a generic visual perception architecture for robotic clothes perception and manipulation. This proposed architecture is fully integrated with a stereo vision system and a dual-arm robot and is able to perform a number of autonomous laundering tasks. Clothes perception and manipulation is a novel research topic in robotics and has experienced rapid development in recent years. Compared to the task of perceiving and manipulating rigid objects, clothes perception and manipulation poses a greater challenge. This can be attributed to two reasons: firstly, deformable clothing requires precise (high-acuity) visual perception and dexterous manipulation; secondly, as clothing approximates a non-rigid 2-manifold in 3-space, that can adopt a quasi-infinite configuration space, the potential variability in the appearance of clothing items makes them difficult to understand, identify uniquely, and interact with by machine. From an applications perspective, and as part of EU CloPeMa project, the integrated visual perception architecture refines a pre-existing clothing manipulation pipeline by completing pre-wash clothes (category) sorting (using single-shot or interactive perception for garment categorisation and manipulation) and post-wash dual-arm flattening. To the best of the author’s knowledge, as investigated in this thesis, the autonomous clothing perception and manipulation solutions presented here were first proposed and reported by the author. All of the reported robot demonstrations in this work follow a perception-manipulation method- ology where visual and tactile feedback (in the form of surface wrinkledness captured by the high accuracy depth sensor i.e. CloPeMa stereo head or the predictive confidence modelled by Gaussian Processing) serve as the halting criteria in the flattening and sorting tasks, respectively. From scientific perspective, the proposed visual perception architecture addresses the above challenges by parsing and grouping 3D clothing configurations hierarchically from low-level curvatures, through mid-level surface shape representations (providing topological descriptions and 3D texture representations), to high-level semantic structures and statistical descriptions. A range of visual features such as Shape Index, Surface Topologies Analysis and Local Binary Patterns have been adapted within this work to parse clothing surfaces and textures and several novel features have been devised, including B-Spline Patches with Locality-Constrained Linear coding, and Topology Spatial Distance to describe and quantify generic landmarks (wrinkles and folds). The essence of this proposed architecture comprises 3D generic surface parsing and interpretation, which is critical to underpinning a number of laundering tasks and has the potential to be extended to other rigid and non-rigid object perception and manipulation tasks. The experimental results presented in this thesis demonstrate that: firstly, the proposed grasp- ing approach achieves on-average 84.7% accuracy; secondly, the proposed flattening approach is able to flatten towels, t-shirts and pants (shorts) within 9 iterations on-average; thirdly, the proposed clothes recognition pipeline can recognise clothes categories from highly wrinkled configurations and advances the state-of-the-art by 36% in terms of classification accuracy, achieving an 83.2% true-positive classification rate when discriminating between five categories of clothes; finally the Gaussian Process based interactive perception approach exhibits a substantial improvement over single-shot perception. Accordingly, this thesis has advanced the state-of-the-art of robot clothes perception and manipulation.

Running Mechanics During the World's Most Challenging Mountain Ultramarathon

The aim of study was to examine the effects of the world's most challenging mountain ultramarathon (Tor des Geants [TdG]) on running mechanics. Mechanical measurements were undertaken in male runners (n = 16) and a control group (n = 8) before (PRE), during (MID), and after (POST) the TdG. Contact (tc) and aerial (ta) times, step frequency (f), and running velocity (v) were sampled. Spring-mass parameters of peak vertical ground-reaction force (Fmax), vertical downward displacement of the center of mass (Deltaz), leg-length change (DeltaL), and vertical (kvert) and leg (kleg) stiffness were computed. Significant decreases were observed in runners between PRE and MID for ta (P < .001), Fmax (P < .001), Deltaz (P < .05), and kleg (P < .01). In contrast, f significantly increased (P < .05) between PRE and MID-TdG. No further changes were observed at POST for any of those variables, with the exception of kleg, which went back to PRE. During the TdG, experienced runners modified their running pattern and spring-mass behavior mainly during the first half. The current results suggest that these mechanical changes aim at minimizing the pain occurring in lower limbs mainly during the eccentric phases. One cannot rule out that this switch to a "safer" technique may also aim to anticipate further damages.

Identification of protein coding regions using the modified Gabor-wavelet transform

An important topic in genomic sequence analysis is the identification of protein coding regions. In this context, several coding DNA model-independent methods based on the occurrence of specific patterns of nucleotides at coding regions have been proposed. Nonetheless, these methods have not been completely suitable due to their dependence on an empirically predefined window length required for a local analysis of a DNA region. We introduce a method based on a modified Gabor-wavelet transform (MGWT) for the identification of protein coding regions. This novel transform is tuned to analyze periodic signal components and presents the advantage of being independent of the window length. We compared the performance of the MGWT with other methods by using eukaryote data sets. The results show that MGWT outperforms all assessed model-independent methods with respect to identification accuracy. These results indicate that the source of at least part of the identification errors produced by the previous methods is the fixed working scale. The new method not only avoids this source of errors but also makes a tool available for detailed exploration of the nucleotide occurrence.

Adrenalectomy counteracts the local modulation of astroglial fibroblast growth factor system without interfering with the pattern of 6-OHDA-induced dopamine degeneration in regions of the ventral midbrain

The present study investigated the effects of bilateral adrenalectomy (ADX) on the synthesis of basic fibroblast growth factor (bFGF, FGF-2) mRNA and on the expression of its FGF receptor subtype-2 (FGFR2) mRNA after a 6-hydroxydopamine (6-OHDA)-induced lesion of nigrostriatal dopamine system. In previous papers we have demonstrated that corticosterone increases FGF-2 immunoreactivity mainly in the astrocytes of the substantia nigra [Chadi, G., Rosen, L., Cintra, A., Tinner, B., Zoli, M., Pettersson, R.F., Fuxe, K., 1993b. Corticosterone increases FGF-2 (bFGF) immunoreactivity in the substantia nigra of the rat. Neuroreport 4, 783-786.] and that 6-OHDA injected in the ventral midbrain upregulates FGF-2 synthesis in reactive astrocytes in the ascending dopamine pathways [Chadi, G., Cao, Y., Pettersson, R.F., Fuxe, K., 1994. Temporal and spatial increase of astroglial basic fibroblast growth factor synthesis after 6-hydroxydopamine-induced degeneration of the nigrostriatal dopamine neurons. Neuroscience 61, 891-910.]. Rats were adrenalectomized and received a 6-OHDA stereotaxical injection in the ventral midbrain 2 days later. Seven days after the dopamine lesion, Western blot analysis showed a decreased level of tyrosine hydroxylase in the lesioned side of the midbrain, an event that was not altered by ADX or corticosterone replacement. Moreover, the degeneration of nigral dopamine neurons, which was confirmed by the disappearance of acidic FGF (FGF-1) mRNA and the decrement of tyrosine hydroxylase mRNA labeled nigral neurons, was not altered by ADX. The FGF-2 protein (23 kDa isoform but not 21 kDa fraction) levels increased in the lesioned side of the ventral midbrain. This elevation was counteracted by ADX, an effect that was fully reversed by corticosterone replacement. In situ hybridization revealed that ADX counteracted the elevated FGF-2 mRNA levels in putative glial cells of the ipsilateral pars compacta of the substantia nigra and in the ventral tegmental area. The ADX also counteracted the increased density and intensity of the astroglial FGF-2 immunoreactive profiles within the lesioned pars compacta of the substantia nigra and the ventral tegmental area as determined by stereology. The stereotaxical mechanical needle insertion triggered the expression of FGFR2 mRNA in putative glial cells, spreading to the entire ipsilateral ventral midbrain from the region of needle track, an occurrence that was partially reversed by ADX. In conclusion, bilateral ADX counteracted the increased astroglial FGF-2 synthesis in the dopamine regions of the ventral midbrain following a 6-OHDA-induced local lesion and interfered with FGF receptor regulation around injury. These findings give further evidence that adrenocortical hormones may regulate the astroglial FGF-2-mediated trophic mechanisms and wound repair events in the lesioned central nervous system. (c) 2007 Elsevier B.V. All rights reserved.

Chroma binary similarity and local alignment applied to cover song identification

We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song identification is a task whose popularity has increased in the Music Information Retrieval (MIR) community along in the past, as it provides a direct and objective way to evaluate music similarity algorithms.This article first presents a series of experiments carried outwith two state-of-the-art methods for cover song identification.We have studied several components of these (such as chroma resolution and similarity, transposition, beat tracking or Dynamic Time Warping constraints), in order to discover which characteristics would be desirable for a competitive cover song identifier. After analyzing many cross-validated results, the importance of these characteristics is discussed, and the best-performing ones are finally applied to the newly proposed method. Multipleevaluations of this one confirm a large increase in identificationaccuracy when comparing it with alternative state-of-the-artapproaches.

Alterations in the local myocardial motion pattern in patients suffering from pressure overload due to aortic stenosis.

BACKGROUND: MR tissue tagging allows the noninvasive assessment of the locally and temporally resolved motion pattern of the left ventricle. Alterations in cardiac torsion and diastolic relaxation of the left ventricle were studied in patients with aortic stenosis and were compared with those of healthy control subjects and championship rowers with physiological volume-overload hypertrophy. METHODS AND RESULTS: Twelve aortic stenosis patients, 11 healthy control subjects with normal left ventricular function, and 11 world-championship rowers were investigated for systolic and diastolic heart wall motion on a basal and an apical level of the myocardium. Systolic torsion and untwisting during diastole were examined by use of a novel tagging technique (CSPAMM) that provides access to systolic and diastolic motion data. In the healthy heart, the left ventricle performs a systolic wringing motion, with a counterclockwise rotation at the apex and a clockwise rotation at the base. Apical untwisting precedes diastolic filling. In the athlete's heart, torsion and untwisting remain unchanged compared with those of the control subjects. In aortic stenosis patients, torsion is significantly increased and diastolic apical untwisting is prolonged compared with those of control subjects or athletes. CONCLUSIONS: Torsional behavior as observed in pressure- and volume-overloaded hearts is consistent with current theoretical findings. A delayed diastolic untwisting in the pressure-overloaded hearts of the patients may contribute to a tendency toward diastolic dysfunction.

Phonons in binary BCC lithium-sodium alloys

The dispersion relations along the principal symmetry directions in BCC lithium-sodium alloys are calculated using second-order perturbation theory. The local modified Hoshino-Youngmodel potential was used for the lithium and the local Harrison model potential for sodium. The phonon density of states, the root mean square displacements and (Θ-T) curves are also calculated. In the absence of experimental data, just the theoretical predictions are presented here.

O local de nidificação do sabiá-barranco (Turdus Leucomelas) (Aves, Turdidae) afeta a temperatura interna do ninho durante a incubação e cuidado à prole?

Individuals of the species Turdus leucomelas are adapted to live in environments already modified by humans, thus obtaining reproductive success in their nesting in vegetation, as well as built their nests in human buildings. Nests found in buildings are often less camouflaged, making them more exposed to predators compared to nests built in vegetation; however the nests built buildings are common, indicating a possible advantage associated with these nests. By means of this idea if was assumed that a possible advantage to this construction in buildings is linked to a change in variation in the internal temperature of the nest during incubation and development of pups until they leave their nests. Accordingly, with the aid of iButtons and TidBits (temperature data loggers), the present study aimed to analyze the influence of the nesting site on how the temperature is kept, and how it changes in the microenvironment in which the nest is inserted, indicating potential benefits associated with that choice. In the samples found with the vegetation, temperature data showed a pattern of temperature of the microenvironment of the nests is not very stable, varying with ambient temperature, whereas in the samples found with the human constructions, the temperature data showed a pattern of temperature microenvironment nests more stable for a long time. When comparing the two environments which they settled nests, as well as the different times of day (daytime and nighttime), how the temperature was kept and pattern of change within the nest was significantly different (F=43.85, p<0.001), with higher and more constant internal temperatures in nests installed in construction, compared to vegetation. When observing periods of the day, it was found that in both environments the temperature inside the nest reached higher values and higher than the environment at night, coinciding with the rest of the female at night. Data may suggest changes in the...