Texture analysis by multi-resolution fractal descriptors

This work proposes a novel texture descriptor based on fractal theory. The method is based on the Bouligand- Minkowski descriptors. We decompose the original image recursively into four equal parts. In each recursion step, we estimate the average and the deviation of the Bouligand-Minkowski descriptors computed over each part. Thus, we extract entropy features from both average and deviation. The proposed descriptors are provided by concatenating such measures. The method is tested in a classification experiment under well known datasets, that is, Brodatz and Vistex. The results demonstrate that the novel technique achieves better results than classical and state-of-the-art texture descriptors, such as Local Binary Patterns, Gabor-wavelets and co-occurrence matrix.

Dynamic texture analysis and segmentation using deterministic partially self-avoiding walks

Dynamic texture is a recent field of investigation that has received growing attention from computer vision community in the last years. These patterns are moving texture in which the concept of selfsimilarity for static textures is extended to the spatiotemporal domain. In this paper, we propose a novel approach for dynamic texture representation, that can be used for both texture analysis and segmentation. In this method, deterministic partially self-avoiding walks are performed in three orthogonal planes of the video in order to combine appearance and motion features. We validate our method on three applications of dynamic texture that present interesting challenges: recognition, clustering and segmentation. Experimental results on these applications indicate that the proposed method improves the dynamic texture representation compared to the state of the art.

Proposta di traduzione commentata di un articolo scientifico sulla sperimentazione animale: risorse, metodi e terminologia.

The aim of this dissertation is to provide a translation from English into Italian of a highly specialized scientific article published by the online journal ALTEX. In this text, the authors propose a roadmap for how to overcome the acknowledged scientific gaps for the full replacement of systemic toxicity testing using animals. The main reasons behind this particular choice are my personal interest in specialized translation of scientific texts and in the alternatives to animal testing. Moreover, this translation has been directly requested by the Italian molecular biologist and clinical biochemist Candida Nastrucci. It was not possible to translate the whole article in this project, for this reason, I decided to translate only the introduction, the chapter about skin sensitization, and the conclusion. I intend to use the resources that were created for this project to translate the rest of the article in the near future. In this study, I will show how a translator can translate such a specialized text with the help of a field expert using CAT Tools and a specialized corpus. I will also discuss whether machine translation can prove useful to translate this type of document. This work is divided into six chapters. The first one introduces the main topic of the article and explains my reasons for choosing this text; the second one contains an analysis of the text type, focusing on the differences and similarities between Italian and English conventions. The third chapter provides a description of the resources that were used to translate this text, i.e. the corpus and the CAT Tools. The fourth one contains the actual translation, side-by-side with the original text, while the fifth one provides a general comment on the translation difficulties, an analysis of my translation choices and strategies, and a comment about the relationship between the field expert and the translator. Finally, the last chapter shows whether machine translation and post-editing can be an advantageous strategy to translate this type of document. The project also contains two appendixes. The first one includes 54 complex terminological sheets, while the second one includes 188 simple terminological sheets.

Taxonomie von Unterrichtsmethoden

Nach wie vor gibt es für die didaktische Gestaltung von Unterrichtssituationen wenig zufrieden stellende Hilfsmittel, die sowohl unerfahrene Pädagoginnen und Pädagogen unterstützen, gleichzeitig aber auch Kreativität und didaktische Vielfalt von Expertinnen und Experten fördern. Dieses Buch präsentiert für dieses Dilemma einen neuen Lösungsansatz.

New algorithms for automated phylogenetic reconstruction using artificial intelligence and data mining techniques

Academic and industrial research in the late 90s have brought about an exponential explosion of DNA sequence data. Automated expert systems are being created to help biologists to extract patterns, trends and links from this ever-deepening ocean of information. Two such systems aimed on retrieving and subsequently utilizing phylogenetically relevant information have been developed in this dissertation, the major objective of which was to automate the often difficult and confusing phylogenetic reconstruction process. ^ Popular phylogenetic reconstruction methods, such as distance-based methods, attempt to find an optimal tree topology (that reflects the relationships among related sequences and their evolutionary history) by searching through the topology space. Various compromises between the fast (but incomplete) and exhaustive (but computationally prohibitive) search heuristics have been suggested. An intelligent compromise algorithm that relies on a flexible “beam” search principle from the Artificial Intelligence domain and uses the pre-computed local topology reliability information to adjust the beam search space continuously is described in the second chapter of this dissertation. ^ However, sometimes even a (virtually) complete distance-based method is inferior to the significantly more elaborate (and computationally expensive) maximum likelihood (ML) method. In fact, depending on the nature of the sequence data in question either method might prove to be superior. Therefore, it is difficult (even for an expert) to tell a priori which phylogenetic reconstruction method—distance-based, ML or maybe maximum parsimony (MP)—should be chosen for any particular data set. ^ A number of factors, often hidden, influence the performance of a method. For example, it is generally understood that for a phylogenetically “difficult” data set more sophisticated methods (e.g., ML) tend to be more effective and thus should be chosen. However, it is the interplay of many factors that one needs to consider in order to avoid choosing an inferior method (potentially a costly mistake, both in terms of computational expenses and in terms of reconstruction accuracy.) ^ Chapter III of this dissertation details a phylogenetic reconstruction expert system that selects a superior proper method automatically. It uses a classifier (a Decision Tree-inducing algorithm) to map a new data set to the proper phylogenetic reconstruction method. ^

The illness experiences of African Americans residing in an inner city community, Houston, Texas

This dissertation documents health and illness in the context of daily life circumstances and structural conditions faced by African American families living in Clover Heights (pseudonym), an inner city public housing project in the Third Ward, Houston, Texas. Drawing from Kleinman's (1980) model of culturally defined health care systems and using the holistic-content approach to narrative analysis (Lieblich, Tuval- Mashiach, & Zilber, 1998) the purpose of this research was to explore the ways in which social and health policy, economic mobility, the inner city environment, and cultural beliefs intertwined with African American families' health related ideas, behaviors, and practices. I recruited six families using a convenience sampling method (Schensul, Schensul, & LeCompte, 1999) and followed them for fourteen months (2010–2011). Family was defined as a household unit, or those living in the same residence, short or long-term. Single, African American women ranging in age from 29–80 years headed all families. All but one family included children or grandchildren 18 years of age and younger, or children or other relative 18 years of age and older. I also recruited six residents with who I became acquainted over the course of the project. I collected data using traditional ethnographic methods including participant-observation, archive review, field notes, mapping, free-listing, in-depth interviews, and life history interviews. ^ Doing ethnography afforded the families who participated in this project the freedom to construct their own experiences of health and illness. My role centered on listening to, learning from, and interpreting participants' narratives, exploring similarities and differences within and across families' experiences. As the research progressed, a pattern concerning diagnosis and pharmacotherapy for children's behavioral and emotional problems, particularly attention-deficit hyperactivity disorder (ADHD) and pediatric bipolar disorder (PBD), emerged from my formal interactions with participants and my informal interactions with residents. The findings presented in this dissertation document this pattern, focusing on how mothers and families interpreted, organized, and ascribed meaning to their experiences of ADHD and PBD. ^ In the first manuscript presented here, I documented three mothers' narrative constructions of a child's diagnosis with and pharmacotherapy for ADHD or PBD. Using Gergen's (1997) relational perspective I argued that mothers' knowledge and experiences of ADHD and PBD were not individually constructed, but were linguistically and discursively constituted through various social interactions and relationships, including family, spirituality and faith, community norms, and expert systems of knowledge. Mothers' narratives revealed the complexity of children's behavioral and emotional problems, the daily trials of living through these problems, how they coped with adversity and developed survival strategies, and how they interacted with various institutional authorities involved in evaluating, diagnosing, and encouraging pharmaceutical intervention for children's behavior. The findings highlight the ways in which mothers' social interactions and relationships introduced a scientific language and discourse for explaining children's behavior as mental illness, the discordances between expert systems of knowledge and mothers' understandings, and how discordances reflected mothers' ‘microsources of power’ for producing their own stories and experiences. ^ In the second manuscript presented here, I documented the ways in which structural factors, including gender, race/ethnicity, and socioeconomic status, coupled with a unique cultural and social standpoint (Collins, 1990/2009) influenced the strategies this group of African American mothers employed to understand and respond to ADHD or PBD. The most salient themes related to mother-child relationships coalesced around mothers' beliefs about the etiology of ADHD and PBD, ‘conceptualizing responsibility,’ and ‘protection-survival.’ The findings suggest that even though mothers' strategies varied, they were in pursuit of a common goal. Mothers' challenged the status quo, addressing children's behavioral and emotional problems in the ways that made the most sense to them, specifically protecting their children from further marginalization in society more so than believing these were the best options for their children.^

Científicos y políticas públicas : la incidencia de una red en el tratamiento de una Ley de Ordenamiento Territorial

Nuestro trabajo tiene como objetivo aplicar conceptos de la teoría de los sistemas complejos y herramientas del análisis de redes sociales para describir y analizar el surgimiento y la evolución de una red social conformada por científicos, docentes, graduados y funcionarios públicos de diferentes organismos científicos y académicos, que crearon y participaron de un equipo multidisciplinario que elaboró un informe sobre un proyecto de ley de Ordenamiento Territorial y Usos del Suelo de la provincia de Mendoza en el año 2006. Para la compresión de la evolución del proceso de elaboración del proyecto de ley de ordenamiento territorial y de usos del suelo, organizaremos la estructura del trabajo de la siguiente manera: - Primero aplicaremos aspectos teóricos y metodológicos, basados en la sistematización realizada por Rolando García en su libro “Sistemas Complejos. Conceptos, método y fundamentación epistemológica de la investigación interdisciplinaria", para realizar el recorte del sistema objeto de estudio. - En segundo lugar utilizaremos la Teoría de Análisis de Redes Sociales para describir la composición y estructura del sistema (nodos y vínculos) en cada momento. La estructura del sistema en cada momento significativo será graficada por medio el Software Ucinet 6 y NetDraw. - Por último, haremos referencia a las dificultades que tuvo el proceso desde el punto de vista de las condicionalidades que generaban los modelos mentales que portaban los participantes.

Imaginarios míticos en las prácticas agropecuarias rurales en fincas de la cuenca del rio La Vieja, Colombia

Este trabajo analiza las creencias mitológicas, agüeros o supersticiones asociadas con las actividades agropecuarias y de conservación en nueve unidades productivas rurales de la cuenca media del río La Vieja, Colombia. Plantea que las gentes de antaño reconocen la influencia de múltiples relatos sobre condiciones productivas y ambientales que redundan en el éxito o el fracaso de las actividades rurales. Las creencias se clasificaron según su funcionalidad y las actividades que regulan. Se describieron así 14 mitos que influyen en las actividades de cultivo, cría, conservación y regulación social. El principal elemento de discusión fue la funcionalidad, considerando la distribución y aplicación en los subsistemas de producción en la finca, la relación con la edad y el género y con la posición jerárquica en la estructura familiar. El flujo de información entre sistemas expertos y sistemas de creencias tradicionales ayuda a construir sistemas adaptados. A manera de ejemplo, se puede mencionar un mayordomo de un hato ganadero que combina la creencia en las fases de la luna con el empleo de la técnica genética de la inseminación artificial para asegurar no sólo la preñez de la madre sino también el género femenino de la cría.

Imaginarios míticos en las prácticas agropecuarias rurales en fincas de la cuenca del rio La Vieja, Colombia

Este trabajo analiza las creencias mitológicas, agüeros o supersticiones asociadas con las actividades agropecuarias y de conservación en nueve unidades productivas rurales de la cuenca media del río La Vieja, Colombia. Plantea que las gentes de antaño reconocen la influencia de múltiples relatos sobre condiciones productivas y ambientales que redundan en el éxito o el fracaso de las actividades rurales. Las creencias se clasificaron según su funcionalidad y las actividades que regulan. Se describieron así 14 mitos que influyen en las actividades de cultivo, cría, conservación y regulación social. El principal elemento de discusión fue la funcionalidad, considerando la distribución y aplicación en los subsistemas de producción en la finca, la relación con la edad y el género y con la posición jerárquica en la estructura familiar. El flujo de información entre sistemas expertos y sistemas de creencias tradicionales ayuda a construir sistemas adaptados. A manera de ejemplo, se puede mencionar un mayordomo de un hato ganadero que combina la creencia en las fases de la luna con el empleo de la técnica genética de la inseminación artificial para asegurar no sólo la preñez de la madre sino también el género femenino de la cría.

Imaginarios míticos en las prácticas agropecuarias rurales en fincas de la cuenca del rio La Vieja, Colombia

Este trabajo analiza las creencias mitológicas, agüeros o supersticiones asociadas con las actividades agropecuarias y de conservación en nueve unidades productivas rurales de la cuenca media del río La Vieja, Colombia. Plantea que las gentes de antaño reconocen la influencia de múltiples relatos sobre condiciones productivas y ambientales que redundan en el éxito o el fracaso de las actividades rurales. Las creencias se clasificaron según su funcionalidad y las actividades que regulan. Se describieron así 14 mitos que influyen en las actividades de cultivo, cría, conservación y regulación social. El principal elemento de discusión fue la funcionalidad, considerando la distribución y aplicación en los subsistemas de producción en la finca, la relación con la edad y el género y con la posición jerárquica en la estructura familiar. El flujo de información entre sistemas expertos y sistemas de creencias tradicionales ayuda a construir sistemas adaptados. A manera de ejemplo, se puede mencionar un mayordomo de un hato ganadero que combina la creencia en las fases de la luna con el empleo de la técnica genética de la inseminación artificial para asegurar no sólo la preñez de la madre sino también el género femenino de la cría.

Detecting Traffic Problems with ILP

Expert systems for decision support have recently been successfully introduced in road transport management. In this paper, we apply three state-of-the art ILP systems to learn how to detect traffic problems.

Constructs and evaluation strategies for intelligent speculative parallelism - armageddon revisited

This report addresses speculative parallelism (the assignment of spare processing resources to tasks which are not known to be strictly required for the successful completion of a computation) at the user and application level. At this level, the execution of a program is seen as a (dynamic) tree —a graph, in general. A solution for a problem is a traversal of this graph from the initial state to a node known to be the answer. Speculative parallelism then represents the assignment of resources to múltiple branches of this graph even if they are not positively known to be on the path to a solution. In highly non-deterministic programs the branching factor can be very high and a naive assignment will very soon use up all the resources. This report presents work assignment strategies other than the usual depth-first and breadth-first. Instead, best-first strategies are used. Since their definition is application-dependent, the application language contains primitives that allow the user (or application programmer) to a) indícate when intelligent OR-parallelism should be used; b) provide the functions that define "best," and c) indícate when to use them. An abstract architecture enables those primitives to perform the search in a "speculative" way, using several processors, synchronizing them, killing the siblings of the path leading to the answer, etc. The user is freed from worrying about these interactions. Several search strategies are proposed and their implementation issues are addressed. "Armageddon," a global pruning method, is introduced, together with both a software and a hardware implementation for it. The concepts exposed are applicable to áreas of Artificial Intelligence such as extensive expert systems, planning, game playing, and in general to large search problems. The proposed strategies, although showing promise, have not been evaluated by simulation or experimentation.

Inverse kinematics of a 6 DoF human upper limb using ANFIS and ANN for anticipatory actuation in ADL-based physical Neurorehabilitation

Objective: This research is focused in the creation and validation of a solution to the inverse kinematics problem for a 6 degrees of freedom human upper limb. This system is intended to work within a realtime dysfunctional motion prediction system that allows anticipatory actuation in physical Neurorehabilitation under the assisted-as-needed paradigm. For this purpose, a multilayer perceptron-based and an ANFIS-based solution to the inverse kinematics problem are evaluated. Materials and methods: Both the multilayer perceptron-based and the ANFIS-based inverse kinematics methods have been trained with three-dimensional Cartesian positions corresponding to the end-effector of healthy human upper limbs that execute two different activities of the daily life: "serving water from a jar" and "picking up a bottle". Validation of the proposed methodologies has been performed by a 10 fold cross-validation procedure. Results: Once trained, the systems are able to map 3D positions of the end-effector to the corresponding healthy biomechanical configurations. A high mean correlation coefficient and a low root mean squared error have been found for both the multilayer perceptron and ANFIS-based methods. Conclusions: The obtained results indicate that both systems effectively solve the inverse kinematics problem, but, due to its low computational load, crucial in real-time applications, along with its high performance, a multilayer perceptron-based solution, consisting in 3 input neurons, 1 hidden layer with 3 neurons and 6 output neurons has been considered the most appropriated for the target application.

Unsupervised system to classify SO2 pollutant concentrations in Salamanca, Mexico

Salamanca is cataloged as one of the most polluted cities in Mexico. In order to observe the behavior and clarify the influence of wind parameters on the Sulphur Dioxide (SO2) concentrations a Self-Organizing Maps (SOM) Neural Network have been implemented at three monitoring locations for the period from January 1 to December 31, 2006. The maximum and minimum daily values of SO2 concentrations measured during the year of 2006 were correlated with the wind parameters of the same period. The main advantages of the SOM Neural Network is that it allows to integrate data from different sensors and provide readily interpretation results. Especially, it is powerful mapping and classification tool, which others information in an easier way and facilitates the task of establishing an order of priority between the distinguished groups of concentrations depending on their need for further research or remediation actions in subsequent management steps. For each monitoring location, SOM classifications were evaluated with respect to pollution levels established by Health Authorities. The classification system can help to establish a better air quality monitoring methodology that is essential for assessing the effectiveness of imposed pollution controls, strategies, and facilitate the pollutants reduction.