Bio-inspired FPGA Architecture for Self-Calibration of an Image Compression Core based on Wavelet Transforms in Embedded Systems

A generic bio-inspired adaptive architecture for image compression suitable to be implemented in embedded systems is presented. The architecture allows the system to be tuned during its calibration phase. An evolutionary algorithm is responsible of making the system evolve towards the required performance. A prototype has been implemented in a Xilinx Virtex-5 FPGA featuring an adaptive wavelet transform core directed at improving image compression for specific types of images. An Evolution Strategy has been chosen as the search algorithm and its typical genetic operators adapted to allow for a hardware friendly implementation. HW/SW partitioning issues are also considered after a high level description of the algorithm is profiled which validates the proposed resource allocation in the device fabric. To check the robustness of the system and its adaptation capabilities, different types of images have been selected as validation patterns. A direct application of such a system is its deployment in an unknown environment during design time, letting the calibration phase adjust the system parameters so that it performs efcient image compression. Also, this prototype implementation may serve as an accelerator for the automatic design of evolved transform coefficients which are later on synthesized and implemented in a non-adaptive system in the final implementation device, whether it is a HW or SW based computing device. The architecture has been built in a modular way so that it can be easily extended to adapt other types of image processing cores. Details on this pluggable component point of view are also given in the paper.

Application of digital image correlation at the microscale in fiber-reinforced composites

Digital image correlation (DIC) is applied to analyzing the deformation mechanisms under transverse compression in a fiber-reinforced composite. To this end, compression tests in a direction perpendicular to the fibers were carried out inside a scanning electron microscope and secondary electron images obtained at different magnifications during the test. Optimum DIC parameters to resolve the displacement and strain field were computed from numerical simulations of a model composite and they were applied to micrographs obtained at different magnifications (250_, 2000_, and 6000_). It is shown that DIC of low-magnification micrographs was able to capture the long range fluctuations in strain due to the presence of matrix-rich and fiber-rich zones, responsible for the onset of damage. At higher magnification, the strain fields obtained with DIC qualitatively reproduce the non-homogeneous deformation pattern due to the presence of stiff fibers dispersed in a compliant matrix and provide accurate results of the average composite strain. However, comparison with finite element simulations revealed that DIC was not able to accurately capture the average strain in each phase.

Reconstructing the Timing and Dispersion Routes of HIV-1 Subtype B Epidemics in The Caribbean and Central America: A Phylogenetic Story.

The Caribbean and Central America are among the regions with highest HIV-1B prevalence worldwide. Despite of this high virus burden, little is known about the timing and the migration patterns of HIV-1B in these regions. Migration is one of the major processes shaping the genetic structure of virus populations. Thus, reconstruction of epidemiological network may contribute to understand HIV-1B evolution and reduce virus prevalence. We have investigated the spatio-temporal dynamics of the HIV-1B epidemic in The Caribbean and Central America using 1,610 HIV-1B partial pol sequences from 13 Caribbean and 5 Central American countries. Timing of HIV-1B introduction and virus evolutionary rates, as well as the spatial genetic structure of the HIV-1B populations and the virus migration patterns were inferred. Results revealed that in The Caribbean and Central America most of the HIV-1B variability was generated since the 80 s. At odds with previous data suggesting that Haiti was the origin of the epidemic in The Caribbean, our reconstruction indicated that the virus could have been disseminated from Puerto Rico and Antigua. These two countries connected two distinguishable migration areas corresponding to the (mainly Spanish-colonized) Easter and (mainly British-colonized) Western islands, which indicates that virus migration patterns are determined by geographical barriers and by the movement of human populations among culturally related countries. Similar factors shaped the migration of HIV-1B in Central America. The HIV-1B population was significantly structured according to the country of origin, and the genetic diversity in each country was associated with the virus prevalence in both regions, which suggests that virus populations evolve mainly through genetic drift. Thus, our work contributes to the understanding of HIV-1B evolution and dispersion pattern in the Americas, and its relationship with the geography of the area and the movements of human populations.

Influence of origin of the beans on protein quality and nutritive value of commercial soybean meals.

Chemical composition and correlations between chemical analyses and protein quality of 454 batches of SBM of 3 different origins (USA, n=168; Brazil (BRA), n=139, and Argentine (ARG), n=147) were studied. Samples were collected during a 6-yr period. SBM from USA had more CP, sucrose and stachyose and less NDF (P<0.001) than SBM from ARG and BRA. CP content was negatively related (P<0.001) with sucrose for USA meals and with NDF for ARG and BRA meals. Also, P content was positively related (P<0.01) with CP content of the meals. PDI and KOH solubility were higher (P<0.001) for USA than for ARG or BRA SBM, values that were positively related (P<0.001) with trypsin inhibitor activity of the meals. In addition, USA meals had more lys, met+cys, thr, and trp than BRA and ARG meals (P < 0.001). Per unit of CP, lys content was negatively related (P<0.001) with CP content for USA, positively for BRA, and no relations was found for ARG meals. It is concluded that nutritive values and protein quality of the meals varied widely among soybean origins. Consequently, the origin of the beans should be considered in the evaluation of the nutritive value of commercial SBM for non-ruminant animals.

Influence of origin of the beans on protein quality and nutritive value of commercial soybean meals

Estudio sobre la influencia del origen de los granos en la calidad de proteínas y el valor nutritivo de las harinas de soja comerciales

Aplicación de documentos de identificación electrónica a un esquema de voto telemático a escala paneuropea, seguro, auditable y verificable.

En este trabajo de tesis se propone un esquema de votación telemática, de carácter paneuropeo y transnacional, que es capaz de satisfacer las más altas exigencias en materia de seguridad. Este enfoque transnacional supone una importante novedad que obliga a identificar a los ciudadanos más allá de las fronteras de su país, exigencia que se traduce en la necesidad de que todos los ciudadanos europeos dispongan de una identidad digital y en que ésta sea reconocida más allá de las fronteras de su país de origen. Bajo estas premisas, la propuesta recogida en esta tesis se aborda desde dos vertientes complementarias: por una parte, el diseño de un esquema de votación capaz de conquistar la confianza de gobiernos y ciudadanos europeos y, por otra, la búsqueda de una respuesta al problema de interoperabilidad de Sistemas de Gestión de Identidad (IDMs), en consonancia con los trabajos que actualmente realiza la UE para la integración de los servicios proporcionados por las Administraciones Públicas de los distintos países europeos. El punto de partida de este trabajo ha sido la identificación de los requisitos que determinan el adecuado funcionamiento de un sistema de votación telemática para, a partir de ellos,proponer un conjunto de elementos y criterios que permitan, por una parte, establecer comparaciones entre distintos sistemas telemáticos de votación y, por otra, evaluar la idoneidad del sistema propuesto. A continuación se han tomado las más recientes y significativas experiencias de votación telemática llevadas a cabo por diferentes países en la automatización de sus procesos electorales, analizándolas en profundidad para demostrar que, incluso en los sistemas más recientes, todavía subsisten importantes deficiencias relativas a la seguridad. Asimismo, se ha constatado que un sector importante de la población se muestra receloso y, a menudo, cuestiona la validez de los resultados publicados. Por tanto, un sistema que aspire a ganarse la confianza de ciudadanos y gobernantes no sólo debe operar correctamente, trasladando los procesos tradicionales de votación al contexto telemático, sino que debe proporcionar mecanismos adicionales que permitan superar los temores que inspira el nuevo sistema de votación. Conforme a este principio, el enfoque de esta tesis, se orienta, en primer lugar, hacia la creación de pruebas irrefutables, entendibles y auditables a lo largo de todo el proceso de votación, que permitan demostrar con certeza y ante todos los actores implicados en el proceso (gobierno, partidos políticos, votantes, Mesa Electoral, interventores, Junta Electoral,jueces, etc.) que los resultados publicados son fidedignos y que no se han violado los principios de anonimato y de “una persona, un voto”. Bajo este planteamiento, la solución recogida en esta tesis no sólo prevé mecanismos para minimizar el riesgo de compra de votos, sino que además incorpora mecanismos de seguridad robustos que permitirán no sólo detectar posibles intentos de manipulación del sistema, sino también identificar cuál ha sido el agente responsable. De forma adicional, esta tesis va más allá y traslada el escenario de votación a un ámbito paneuropeo donde aparecen nuevos problemas. En efecto, en la actualidad uno de los principales retos a los que se enfrentan las votaciones de carácter transnacional es sin duda la falta de procedimientos rigurosos y dinámicos para la actualización sincronizada de los censos de votantes de los distintos países que evite la presencia de errores que redunden en la incapacidad de controlar que una persona emita más de un voto, o que se vea impedido del todo a ejercer su derecho. Este reconocimiento de la identidad transnacional requiere la interoperabilidad entre los IDMs de los distintos países europeos. Para dar solución a este problema, esta tesis se apoya en las propuestas emergentes en el seno de la UE, que previsiblemente se consolidarán en los próximos años, tanto en materia de identidad digital (con la puesta en marcha de la Tarjeta de Ciudadano Europeo) como con el despliegue de una infraestructura de gestión de identidad que haga posible la interoperabilidad de los IDMs de los distintos estados miembros. A partir de ellas, en esta tesis se propone una infraestructura telemática que facilita la interoperabilidad de los sistemas de gestión de los censos de los distintos estados europeos en los que se lleve a cabo conjuntamente la votación. El resultado es un sistema versátil, seguro, totalmente robusto, fiable y auditable que puede ser aplicado en elecciones paneuropeas y que contempla la actualización dinámica del censo como una parte crítica del proceso de votación. ABSTRACT: This Ph. D. dissertation proposes a pan‐European and transnational system of telematic voting that is capable of meeting the strictest security standards. This transnational approach is a significant innovation that entails identifying citizens beyond the borders of their own country,thus requiring that all European citizens must have a digital identity that is recognized beyond the borders of their country of origin. Based on these premises, the proposal in this thesis is analyzed in two mutually‐reinforcing ways: first, a voting system is designed that is capable of winning the confidence of European governments and citizens and, second, a solution is conceived for the problem of interoperability of Identity Management Systems (IDMs) that is consistent with work being carried out by the EU to integrate the services provided by the public administrations of different European countries. The starting point of this paper is to identify the requirements for the adequate functioning of a telematic voting system and then to propose a set of elements and criteria that will allow for making comparisons between different such telematic voting systems for the purpose of evaluating the suitability of the proposed system. Then, this thesis provides an in‐depth analysis of most recent significant experiences in telematic voting carried out by different countries with the aim of automating electoral processes, and shows that even the most recent systems have significant shortcomings in the realm of security. Further, a significant portion of the population has shown itself to be wary,and they often question the validity of the published results. Therefore, a system that aspires to win the trust of citizens and leaders must not only operate correctly by transferring traditional voting processes into a telematic environment, but must also provide additional mechanisms that can overcome the fears aroused by the new voting system. Hence, this thesis focuses, first, on creating irrefutable, comprehensible and auditable proof throughout the voting process that can demonstrate to all actors in the process – the government, political parties, voters, polling station workers, electoral officials, judges, etc. ‐that the published results are accurate and that the principles of anonymity and one person,one vote, have not been violated. Accordingly, the solution in this thesis includes mechanisms to minimize the risk of vote buying, in addition to robust security mechanisms that can not only detect possible attempts to manipulate the system, but also identify the responsible party. Additionally, this thesis goes one step further and moves the voting scenario to a pan‐European scale, in which new problems appear. Indeed, one of the major challenges at present for transnational voting processes is the lack of rigorous and dynamic procedures for synchronized updating of different countries’ voter rolls, free from errors that may make the system unable to keep an individual from either casting more than one vote, or from losing the effective exercise of the right to vote. This recognition of transnational identity requires interoperability between the IDMs of different European countries. To solve the problem, this thesis relies on proposals emerging within the EU that are expected to take shape in the coming years, both in digital identity – with the launch of the European Citizen Card – and in the deployment of an identity management infrastructure that will enable interoperability of the IDMs of different member states. Based on these, the thesis proposes a telematic infrastructure that will achieve interoperability of the census management systems of European states in which voting processes are jointly carried out. The result is a versatile, secure, totally robust, reliable and auditable system that can be applied in pan‐European election, and that includes dynamic updating of the voter rolls as a critical part of the voting process.

A Multiresolution Image Alignment Technique Based on Direct Methods for Pose Estimation of Aerial Vehicles

In this paper, we seek to expand the use of direct methods in real-time applications by proposing a vision-based strategy for pose estimation of aerial vehicles. The vast majority of approaches make use of features to estimate motion. Conversely, the strategy we propose is based on a MR (Multi-Resolution) implementation of an image registration technique (Inverse Compositional Image Alignment ICIA) using direct methods. An on-board camera in a downwards-looking configuration, and the assumption of planar scenes, are the bases of the algorithm. The motion between frames (rotation and translation) is recovered by decomposing the frame-to-frame homography obtained by the ICIA algorithm applied to a patch that covers around the 80% of the image. When the visual estimation is required (e.g. GPS drop-out), this motion is integrated with the previous known estimation of the vehicles' state, obtained from the on-board sensors (GPS/IMU), and the subsequent estimations are based only on the vision-based motion estimations. The proposed strategy is tested with real flight data in representative stages of a flight: cruise, landing, and take-off, being two of those stages considered critical: take-off and landing. The performance of the pose estimation strategy is analyzed by comparing it with the GPS/IMU estimations. Results show correlation between the visual estimation obtained with the MR-ICIA and the GPS/IMU data, that demonstrate that the visual estimation can be used to provide a good approximation of the vehicle's state when it is required (e.g. GPS drop-outs). In terms of performance, the proposed strategy is able to maintain an estimation of the vehicle's state for more than one minute, at real-time frame rates based, only on visual information.

Extraction of subjective properties in image processing

Most of the present digital images processing methods are related with objective characterization of external properties as shape, form or colour. This information concerns objective characteristics of different bodies and is applied to extract details to perform several different tasks. But in some occasions, some other type of information is needed. This is the case when the image processing system is going to be applied to some operation related with living bodies. In this case, some other type of object information may be useful. As a matter of fact, it may give additional knowledge about its subjective properties. Some of these properties are object symmetry, parallelism between lines and the feeling of size. These types of properties concerns more to internal sensations of living beings when they are related with their environment than to the objective information obtained by artificial systems. This paper presents an elemental system able to detect some of the above-mentioned parameters. A first mathematical model to analyze these situations is reported. This theoretical model will give the possibility to implement a simple working system. The basis of this system is the use of optical logic cells, previously employed in optical computing.

Image analysis by moment invariants using a set of step-like basis functions

Moment invariants have been thoroughly studied and repeatedly proposed as one of the most powerful tools for 2D shape identification. In this paper a set of such descriptors is proposed, being the basis functions discontinuous in a finite number of points. The goal of using discontinuous functions is to avoid the Gibbs phenomenon, and therefore to yield a better approximation capability for discontinuous signals, as images. Moreover, the proposed set of moments allows the definition of rotation invariants, being this the other main design concern. Translation and scale invariance are achieved by means of standard image normalization. Tests are conducted to evaluate the behavior of these descriptors in noisy environments, where images are corrupted with Gaussian noise up to different SNR values. Results are compared to those obtained using Zernike moments, showing that the proposed descriptor has the same performance in image retrieval tasks in noisy environments, but demanding much less computational power for every stage in the query chain.

Improving parameters selection of a seeded region growing method for multiband image segmentation

In the last decade, Object Based Image Analysis (OBIA) has been accepted as an effective method for processing high spatial resolution multiband images. This image analysis method is an approach that starts with the segmentation of the image. Image segmentation in general is a procedure to partition an image into homogenous groups (segments). In practice, visual interpretation is often used to assess the quality of segmentation and the analysis relies on the experience of an analyst. In an effort to address the issue, in this study, we evaluate several seed selection strategies for an automatic image segmentation methodology based on a seeded region growing-merging approach. In order to evaluate the segmentation quality, segments were subjected to spatial autocorrelation analysis using Moran's I index and intra-segment variance analysis. We apply the algorithm to image segmentation using an aerial multiband image.