Benthic and substrate cover data derived from a time series of photo-transect surveys for the Eastern Banks, Moreton Bay Australia, 2004-2015

This paper describes seagrass species and percentage cover point-based field data sets derived from georeferenced photo transects. Annually or biannually over a ten year period (2004-2015) data sets were collected using 30-50 transects, 500-800 m in length distributed across a 142 km**2 shallow, clear water seagrass habitat, the Eastern Banks, Moreton Bay, Australia. Each of the eight data sets include seagrass property information derived from approximately 3000 georeferenced, downward looking photographs captured at 2-4 m intervals along the transects. Photographs were manually interpreted to estimate seagrass species composition and percentage cover (Coral Point Count excel; CPCe). Understanding seagrass biology, ecology and dynamics for scientific and management purposes requires point-based data on species composition and cover. This data set, and the methods used to derive it are a globally unique example for seagrass ecological applications. It provides the basis for multiple further studies at this site, regional to global comparative studies, and, for the design of similar monitoring programs elsewhere.

An integrated framework for assessing the accuracy of geobia landcover products.

Se establece un metodología para evaluar la cartografía de capas GIS

Novel parameters for evaluating the Spatial and Thematic accuracy of land cover maps.

Se proponen novedosas fórmulas para evaluar la certeza de la cartografía

Simulación de seguimiento de blancos en sistemas radar. Parte 2

El proyecto consiste en el diseño y estudio de un software cuyas prestaciones estén orientadas a gestionar una simulación de un sistema de radar. El prototipo de este entorno de simulación se ha realizado en el lenguaje Matlab debido a que inicialmente se considera el más adecuado para el tratamiento de las señales que los sistemas de radar manejan para realizar sus cálculos. Se ha escogido como modelo el software desarrollado por la compañía SAP para gestionar los E.R.P.s de grandes empresas. El motivo es que es un software cuyo diseño y funcionalidad es especialmente adecuado para la gestión ordenada de una cantidad grande de datos diversos de forma integrada. Diseñar e implementar el propio entorno es una tarea de enorme complejidad y que requerirá el esfuerzo de una cantidad importante de personas; por lo que este proyecto se ha limitado, a un prototipo básico con una serie de características mínimas; así como a indicar y dejar preparado el camino por el que deberán transcurrir las futuras agregaciones de funcionalidad o mejoras. Funcionalmente, esto es, independientemente de la implementación específica con la que se construya el entorno de simulación, se ha considerado dividir las características y prestaciones ofrecidas por el sistema en bloques. Estos bloques agruparán los componentes relacionados con un aspecto específico de la simulación, por ejemplo, el bloque 1, es el asignado a todo lo relacionado con el blanco a detectar. El usuario del entorno de simulación interactuará con el sistema ejecutando lo que se llaman transacciones, que son agrupaciones lógicas de datos a introducir/consultar en el sistema relacionados y que se pueden ejecutar de forma independiente. Un ejemplo de transacción es la que permite mantener una trayectoria de un blanco junto con sus parámetros, pero también puede ser una transacción la aplicación que permite por ejemplo, gestionar los usuarios con acceso al entorno. Es decir, las transacciones son el componente mínimo a partir del cual el usuario puede interactuar con el sistema. La interfaz gráfica que se le ofrecerá al usuario, está basada en modos, que se pueden considerar “ventanas” independientes entre sí dentro de las cuáles el usuario ejecuta sus transacciones. El usuario podrá trabajar con cuantos modos en paralelo desee y cambiar según desee entre ellos. La programación del software se ha realizado utilizando la metodología de orientación a objetos y se ha intentado maximizar la reutilización del código así como la configurabilidad de su funcionalidad. Una característica importante que se ha incorporado para garantizar la integridad de los datos es un diccionario sintáctico. Para permitir la persistencia de los datos entre sesiones del usuario se ha implementado una base de datos virtual (que se prevé se reemplace por una real), que permite manejar, tablas, campos clave, etc. con el fin de guardar todos los datos del entorno, tanto los de configuración que solo serían responsabilidad de los administradores/desarrolladores como los datos maestros y transaccionales que serían gestionados por los usuarios finales del entorno de simulación. ABSTRACT. This end-of-degree project comprises the design, study and implementation of a software based application able to simulate the various aspects and performance of a radar system. A blueprint for this application has been constructed upon the Matlab programming language. This is due to the fact that initially it was thought to be the one most suitable to the complex signals radar systems usually process; but it has proven to be less than adequate for all the other core processes the simulation environment must provide users with. The software’s design has been based on another existing software which is the one developed by the SAP company for managing enterprises, a software categorized (and considered the paradigm of) as E.R.P. software (E.R.P. stands for Enterprise Resource Planning). This software has been selected as a model because is very well suited (its basic features) for working in an orderly fashion with a pretty good quantity of data of very diverse characteristics, and for doing it in a way which protects the integrity of the data. To design and construct the simulation environment with all its potential features is a pretty hard task and requires a great amount of effort and work to be dedicated to its accomplishment. Due to this, the scope of this end-of-degree project has been focused to design and construct a very basic prototype with minimal features, but which way future developments and upgrades to the systems features should go has also been pointed. In a purely functional approach, i.e. disregarding completely the specific implementation which accomplishes the simulation features, the different parts or aspects of the simulation system have been divided and classified into blocks. The blocks will gather together and comprise the various components related with a specific aspect of the simulation landscape, for example, block number one will be the one dealing with all the features related to the radars system target. The user interaction with the system will be based on the execution of so called transactions, which essentially consist on bunches of information which logically belong together and can thus be managed together. A good example, could be a transaction which permits to maintain a series of specifications for target’s paths; but it could also be something completely unrelated with the radar system itself as for example, the management of the users who can access the system. Transactions will be thus the minimum unit of interaction of users with the system. The graphic interface provided to the user will be mode based, which can be considered something akin to a set of independent windows which are able on their own to sustain the execution of an independent transaction. The user ideally should be able to work with as many modes simultaneously as he wants to, switching his focus between them at will. The approach to the software construction has been based on the object based paradigm. An effort has been made to maximize the code’s reutilization and also in maximizing its customizing, i.e., same sets of code able to perform different tasks based on configuration data. An important feature incorporated to the software has been a data dictionary (a syntactic one) which helps guarantee data integrity. Another important feature that allow to maintain data persistency between user sessions, is a virtual relational data base (which should in future times become a real data base) which allows to store data in tables. The data store in this tables comprises both the system’s configuration data (which administrators and developers will maintain) and also master and transactional data whose maintenance will be the end users task.

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.

Estimating the probability for a protein to have a new fold: A statistical computational model

Structural genomics aims to solve a large number of protein structures that represent the protein space. Currently an exhaustive solution for all structures seems prohibitively expensive, so the challenge is to define a relatively small set of proteins with new, currently unknown folds. This paper presents a method that assigns each protein with a probability of having an unsolved fold. The method makes extensive use of protomap, a sequence-based classification, and scop, a structure-based classification. According to protomap, the protein space encodes the relationship among proteins as a graph whose vertices correspond to 13,354 clusters of proteins. A representative fold for a cluster with at least one solved protein is determined after superposition of all scop (release 1.37) folds onto protomap clusters. Distances within the protomap graph are computed from each representative fold to the neighboring folds. The distribution of these distances is used to create a statistical model for distances among those folds that are already known and those that have yet to be discovered. The distribution of distances for solved/unsolved proteins is significantly different. This difference makes it possible to use Bayes' rule to derive a statistical estimate that any protein has a yet undetermined fold. Proteins that score the highest probability to represent a new fold constitute the target list for structural determination. Our predicted probabilities for unsolved proteins correlate very well with the proportion of new folds among recently solved structures (new scop 1.39 records) that are disjoint from our original training set.

Chloroplast gene sequence data suggest a single origin of the predisposition for symbiotic nitrogen fixation in angiosperms.

Of the approximately 380 families of angiosperms, representatives of only 10 are known to form symbiotic associations with nitrogen-fixing bacteria in root nodules. The morphologically based classification schemes proposed by taxonomists suggest that many of these 10 families of plants are only distantly related, engendering the hypothesis that the capacity to fix nitrogen evolved independently several, if not many, times. This has in turn influenced attitudes toward the likelihood of transferring genes responsible for symbiotic nitrogen fixation to crop species lacking this ability. Phylogenetic analysis of DNA sequences for the chloroplast gene rbcL indicates, however, that representatives of all 10 families with nitrogen-fixing symbioses occur together, with several families lacking this association, in a single clade. This study therefore indicates that only one lineage of closely related taxa achieved the underlying genetic architecture necessary for symbiotic nitrogen fixation in root nodules.

Automatic building detection using the Dempster-Shafer algorithm

An approach and strategy for automatic detection of buildings from aerial images using combined image analysis and interpretation techniques is described in this paper. It is undertaken in several steps. A dense DSM is obtained by stereo image matching and then the results of multi-band classification, the DSM, and Normalized Difference Vegetation Index (NDVI) are used to reveal preliminary building interest areas. From these areas, a shape modeling algorithm has been used to precisely delineate their boundaries. The Dempster-Shafer data fusion technique is then applied to detect buildings from the combination of three data sources by a statistically-based classification. A number of test areas, which include buildings of different sizes, shape, and roof color have been investigated. The tests are encouraging and demonstrate that all processes in this system are important for effective building detection.

Migraine With Aura and Migraine Without Aura Are Not Distinct Entities: Further Evidence From a Large Dutch Population Study

It is often debated whether migraine with aura (MA) and migraine without aura (MO) are etiologically distinct disorders. A previous study using latent class analysis (LCA) in Australian twins showed no evidence for separate subtypes of MO and MA. The aim of the present study was to replicate these results in a population of Dutch twins and their parents, siblings and partners (N = 10,144). Latent class analysis of International Headache Society (IHS)-based migraine symptoms resulted in the identification of 4 classes: a class of unaffected subjects (class 0), a mild form of nonmigrainous headache (class 1), a moderately severe type of migraine (class 2), typically without neurological symptoms or aura (8% reporting aura symptoms), and a severe type of migraine (class 3), typically with neurological symptoms, and aura symptoms in approximately half of the cases. Given the overlap of neurological symptoms and nonmutual exclusivity of aura symptoms, these results do not support the MO and MA subtypes as being etiologically distinct. The heritability in female twins of migraine based on LCA classification was estimated at .50 (95% confidence intervals [0CI} .27 -.59), similar to IHS-based migraine diagnosis (h(2) = .49, 95% Cl .19-.57). However, using a dichotomous classification (affected-unaffected) decreased heritability for the IHS-based classification (h(2) = .33, 95% Cl .00-.60), but not the LCA-based classification (h(2) = .51, 95% Cl. 23-.61). Importantly, use of the LCA-based classification increased the number of subjects classified as affected. The heritability of the screening question was similar to more detailed LCA and IHS classifications, suggesting that the screening procedure is an important determining factor in genetic studies of migraine.

Capacity limits for the detection of changing visual features

Capacity limits in visual attention have traditionally been studied using static arrays of elements from which an observer must detect a target defined by a certain visual feature or combination of features. In the current study we use this visual search paradigm, with accuracy as the dependent variable, to examine attentional capacity limits for different visual features undergoing change over time. In Experiment 1, detectability of a single changing target was measured under conditions where the type of change (size, speed, colour), the magnitude of change, the set size and homogeneity of the unchanging distractors were all systematically varied. Psychometric function slopes were calculated for different experimental conditions and ‘change thresholds’extracted from these slopes were used in Experiment 2, in which multiple supra-threshold changes were made, simultaneously, either to a single or to two or three different stimulus elements. These experiments give an objective psychometric paradigm for measuring changes in visual features over time. Results favour object-based accounts of visual attention, and show consistent differences in the allocation of attentional capacity to different perceptual dimensions.

Semantic and organization considerations in database conceptual modelling : the Semantic Conceptual Organizational Model (SECOM)

This thesis presents a new approach to designing large organizational databases. The approach emphasizes the need for a holistic approach to the design process. The development of the proposed approach was based on a comprehensive examination of the issues of relevance to the design and utilization of databases. Such issues include conceptual modelling, organization theory, and semantic theory. The conceptual modelling approach presented in this thesis is developed over three design stages, or model perspectives. In the semantic perspective, concept definitions were developed based on established semantic principles. Such definitions rely on meaning - provided by intension and extension - to determine intrinsic conceptual definitions. A tool, called meaning-based classification (MBC), is devised to classify concepts based on meaning. Concept classes are then integrated using concept definitions and a set of semantic relations which rely on concept content and form. In the application perspective, relationships are semantically defined according to the application environment. Relationship definitions include explicit relationship properties and constraints. The organization perspective introduces a new set of relations specifically developed to maintain conformity of conceptual abstractions with the nature of information abstractions implied by user requirements throughout the organization. Such relations are based on the stratification of work hierarchies, defined elsewhere in the thesis. Finally, an example of an application of the proposed approach is presented to illustrate the applicability and practicality of the modelling approach.