Group decision making for selection of an information system in a business context

The main objective of this work is to report on the development of a multi-criteria methodology to support the assessment and selection of an Information System (IS) framework in a business context. The objective is to select a technological partner that provides the engine to be the basis for the development of a customized application for shrinkage reduction on the supply chains management. Furthermore, the proposed methodology di ers from most of the ones previously proposed in the sense that 1) it provides the decision makers with a set of pre-defined criteria along with their description and suggestions on how to measure them and 2)it uses a continuous scale with two reference levels and thus no normalization of the valuations is required. The methodology here proposed is has been designed to be easy to understand and use, without a specific support of a decision making analyst.

A framework for using real data with distributed low cost sensors

Currently, due to the widespread use of computers and the internet, students are trading libraries for the World Wide Web and laboratories with simulation programs. In most courses, simulators are made available to students and can be used to proof theoretical results or to test a developing hardware/product. Although this is an interesting solution: low cost, easy and fast way to perform some courses work, it has indeed major disadvantages. As everything is currently being done with/in a computer, the students are loosing the “feel” of the real values of the magnitudes. For instance in engineering studies, and mainly in the first years, students need to learn electronics, algorithmic, mathematics and physics. All of these areas can use numerical analysis software, simulation software or spreadsheets and in the majority of the cases data used is either simulated or random numbers, but real data could be used instead. For example, if a course uses numerical analysis software and needs a dataset, the students can learn to manipulate arrays. Also, when using the spreadsheets to build graphics, instead of using a random table, students could use a real dataset based, for instance, in the room temperature and its variation across the day. In this work we present a framework which uses a simple interface allowing it to be used by different courses where the computers are the teaching/learning process in order to give a more realistic feeling to students by using real data. A framework is proposed based on a set of low cost sensors for different physical magnitudes, e.g. temperature, light, wind speed, which are connected to a central server, that the students have access with an Ethernet protocol or are connected directly to the student computer/laptop. These sensors use the communication ports available such as: serial ports, parallel ports, Ethernet or Universal Serial Bus (USB). Since a central server is used, the students are encouraged to use sensor values results in their different courses and consequently in different types of software such as: numerical analysis tools, spreadsheets or simply inside any programming language when a dataset is needed. In order to do this, small pieces of hardware were developed containing at least one sensor using different types of computer communication. As long as the sensors are attached in a server connected to the internet, these tools can also be shared between different schools. This allows sensors that aren't available in a determined school to be used by getting the values from other places that are sharing them. Another remark is that students in the more advanced years and (theoretically) more know how, can use the courses that have some affinities with electronic development to build new sensor pieces and expand the framework further. The final solution provided is very interesting, low cost, simple to develop, allowing flexibility of resources by using the same materials in several courses bringing real world data into the students computer works.

Stochastic simulation of the morphology of fluvial sand channels reservoirs

Dissertação para obtenção do Grau de Mestre em Engenharia Geológica (Georrecursos)

As Necrópoles alto-medievais do concelho de Cascais : séculos VI e VII

A presente dissertação teve como finalidade estudar os testemunhos arqueológicos respeitantes às práticas funerárias levadas a cabo no atual concelho de Cascais durante os séculos VI e VII. As necrópoles em estudo são sítios bem conhecidos pelos investigadores, uma vez que a descoberta de algumas é precoce, datando de finais do século XIX. Com este trabalho, pretendeu-se introduzir uma série de componentes que a investigação privilegia atualmente, sobretudo no que respeita às vivências nos espaços rurais entre o fim do Império Romano e o domínio muçulmano na Península Ibérica. A investigação desenvolvida baseou-se no estudo preliminar das coleções osteológicas de quatro das cinco necrópoles, bem como na prospeção e no levantamento arqueológicos. O inventário antropológico teve como objetivo apurar o número mínimo de indivíduos por necrópole e por sepultura e fazer uma caracterização básica do sexo e da idade dos inumados. A prospeção assentou na análise das fontes bibliográficas sobre os sítios. Os trabalhos de campo desenvolveram-se no sentido de apurar o estado de conservação dos vestígios, na eventual identificação de outros novos e no consequente levantamento gráfico e fotográfico dos mesmos. Foi igualmente examinado o espólio cerâmico e metálico recolhido aquando da escavação das necrópoles, de modo obter uma visão abrangente sobre os rituais funerários e a estabelecer cronologias mais precisas. Embora se trate de um estudo limitado devido à inexistência de um registo mais rigoroso dos vestígios, foi possível tirar algumas conclusões e constatar alguns padrões. Os resultados possibilitaram apontar um conjunto de condições que se repetem nos locais onde estes cemitérios se implantam, percebendo dinâmicas em relação a fatores de caráter natural e de carácter antrópico. Também se apurou que existiriam diferentes formas de organizar os espaços funerários e que estes seriam constituídos por sepulturas muito diversas do ponto de vista construtivo. Além disso, começa-se a desvelar as razões para a reutilização de sepulturas para vários enterramentos e a entender a forma como as comunidades rurais conduziam os rituais funerários, ainda muito enraizados numa antiga matriz pagã.

Task clustering on ETL systems – A pattern-oriented approach

Usually, data warehousing populating processes are data-oriented workflows composed by dozens of granular tasks that are responsible for the integration of data coming from different data sources. Specific subset of these tasks can be grouped on a collection together with their relationships in order to form higher- level constructs. Increasing task granularity allows for the generalization of processes, simplifying their views and providing methods to carry out expertise to new applications. Well-proven practices can be used to describe general solutions that use basic skeletons configured and instantiated according to a set of specific integration requirements. Patterns can be applied to ETL processes aiming to simplify not only a possible conceptual representation but also to reduce the gap that often exists between two design perspectives. In this paper, we demonstrate the feasibility and effectiveness of an ETL pattern-based approach using task clustering, analyzing a real world ETL scenario through the definitions of two commonly used clusters of tasks: a data lookup cluster and a data conciliation and integration cluster.

Using a domain-specific language to enrich ETL schemas

Today it is easy to find a lot of tools to define data migration schemas among different types of information systems. Data migration processes use to be implemented on a very diverse range of applications, ranging from conventional operational systems to data warehousing platforms. The implementation of a data migration process often involves a serious planning, considering the development of conceptual migration schemas at early stages. Such schemas help architects and engineers to plan and discuss the most adequate way to migrate data between two different systems. In this paper we present and discuss a way for enriching data migration conceptual schemas in BPMN using a domain-specific language, demonstrating how to convert such enriched schemas to a first correspondent physical representation (a skeleton) in a conventional ETL implementation tool like Kettle.

Automatic generation of ETL physical systems from BPMN conceptual models

ETL conceptual modeling is a very important activity in any data warehousing system project implementation. Owning a high-level system representation allowing for a clear identification of the main parts of a data warehousing system is clearly a great advantage, especially in early stages of design and development. However, the effort to model conceptually an ETL system rarely is properly rewarded. Translating ETL conceptual models directly into something that saves work and time on the concrete implementation of the system process it would be, in fact, a great help. In this paper we present and discuss a hybrid approach to this problem, combining the simplicity of interpretation and power of expression of BPMN on ETL systems conceptualization with the use of ETL patterns to produce automatically an ETL skeleton, a first prototype system, which has the ability to be executed in a commercial ETL tool like Kettle.

Local non-negative initial data scalar characterization of the Kerr solution

For any vacuum initial data set, we define a local, non-negative scalar quantity which vanishes at every point of the data hypersurface if and only if the data are Kerr initial data. Our scalar quantity only depends on the quantities used to construct the vacuum initial data set which are the Riemannian metric defined on the initial data hypersurface and a symmetric tensor which plays the role of the second fundamental form of the embedded initial data hypersurface. The dependency is algorithmic in the sense that given the initial data one can compute the scalar quantity by algebraic and differential manipulations, being thus suitable for an implementation in a numerical code. The scalar could also be useful in studies of the non-linear stability of the Kerr solution because it serves to measure the deviation of a vacuum initial data set from the Kerr initial data in a local and algorithmic way.

The Data Mining applied for the prediction of highway roughness due to overloaded trucks

Currently, the quality of the Indonesian national road network is inadequate due to several constraints, including overcapacity and overloaded trucks. The high deterioration rate of the road infrastructure in developing countries along with major budgetary restrictions and high growth in traffic have led to an emerging need for improving the performance of the highway maintenance system. However, the high number of intervening factors and their complex effects require advanced tools to successfully solve this problem. The high learning capabilities of Data Mining (DM) are a powerful solution to this problem. In the past, these tools have been successfully applied to solve complex and multi-dimensional problems in various scientific fields. Therefore, it is expected that DM can be used to analyze the large amount of data regarding the pavement and traffic, identify the relationship between variables, and provide information regarding the prediction of the data. In this paper, we present a new approach to predict the International Roughness Index (IRI) of pavement based on DM techniques. DM was used to analyze the initial IRI data, including age, Equivalent Single Axle Load (ESAL), crack, potholes, rutting, and long cracks. This model was developed and verified using data from an Integrated Indonesia Road Management System (IIRMS) that was measured with the National Association of Australian State Road Authorities (NAASRA) roughness meter. The results of the proposed approach are compared with the IIRMS analytical model adapted to the IRI, and the advantages of the new approach are highlighted. We show that the novel data-driven model is able to learn (with high accuracy) the complex relationships between the IRI and the contributing factors of overloaded trucks

Bioactive ceramics for tissue engineering and regenerative medicine derived from marine sponges

Publicado em "Journal of tissue engineering and regenerative medicine". Vol. 8, suppl. s1 (2014)

Procesos adaptativos y dimensiones del comportamiento biosocial en cazadores recolectores del SW de la provincia de La Pampa.

Resumen del proyecto: Este resumen se incluirá en la base de datos de la Biblioteca Digital del Ministerio, por lo que se debe elaborar el mismo sobre la base de la siguiente estructura y completar todos los campos que se indican a continuación: identificación y caracterización del problema objeto del estudio, hipótesis, planteo de objetivos, materiales y métodos a utilizar, resultados esperados, importancia del proyecto (extensión del campo 4000 caracteres). Proyecto diseñado para aportar al conocimiento de los procesos adaptativos y la dinámica biosocial de las sociedades del pasado prehistórico argentino. Propone analizar y evaluar el potencial documental de los restos bioarqueológicos con fehaciente asociación contextual para posibilitar la realización de inferencias sobre procesos biosociales de naturaleza adaptativa o no adaptativa. Está centrado en el análisis osteológico y biocultural de materiales esqueletales (aproximadamente cien individuos) correspondientes a poblaciones aborígenes prehistóricas del actual territorio de la provincia de La Pampa (Médano Petroquímica, Departamento Puelén). Entre otros muchos aspectos, la importancia de estos materiales reside en que son asignables a sociedades con economía cazadora-recolectora y cuya cronología corresponde al Holoceno tardío final (Entierros datados en 393 ± 41 cal AP AMS.), una época particularmente interesante por la dinámica sucesión de eventos socioculturales y poblacionales que la caracterizan. La evidencia recuperada da cuenta de prácticas funerarias complejas que consisten en la realización de enterratorios colectivos, indirectos, secundarios, y presencia de eventos de violencia y/o tensión social. Los métodos y técnicas consisten en la descripción e identificación basados en observación y registro de marcadores esqueléticos conforme a prácticas estándares de nuestro laboratorio: Planillas de observación y registro durante excavaciones de la Archaeological Summer Field School (ASFS) de la Universidad de Chicago y planillas de los “Standards” de Buikstra y Ubelaker, modificadas y adaptadas por nuestro grupo de trabajo, entre otros). Los datos obtenidos serán empleados para graficación (estadística descriptiva) y también se realizará sobre ellos análisis multivariados y estadística no paramétrica (etapa inferencial). Se tendrán en cuenta aspectos descriptivos y analíticos vinculados con el reconocimiento de la edad y el sexo, hábitos dietarios (marcadores morfológicos y químicos de hueso y dientes), economía de subsistencia, patrones de diferenciación social, exploración de eventuales relaciones de parentesco, roles vinculados con el sexo, el uso del cuerpo, dieta, salud y enfermedad, en relación con la economía de subsistencia, etc. (Buikstra y Beck 2006, Larsen, 1997, White y Folkens 2000). Dado la naturaleza y complejidad de los hallazgos, caracterizados por la conformación de entierros colectivos secundarios e indirectos, un capítulo de interés lo constituye el análisis de las dimensiones sociales del comportamiento mortuorio y la discusión de los indicadores de violencia y/o tensión social asociados a los hallazgos (O´Shea 1984, Rakita et al. 2005, entre otros). Dado el hecho de que se cuenta con la disponibilidad de materiales adecuados para este tipo de estudios, la información relevante y los datos a analizar serán obtenidos mediante la aplicación de métodos y técnicas bioarqueológicas específicas antes mencionados, con la finalidad de observar y discutir tendencias y proponer modelos de interpretación sujetos a ulterior validación, particularmente toda vez que se cuente con una mayor representación numérica y casuística tanto a nivel de individuos como de sitios bioarqueológicos excavados. El proyecto se enmarca en la firma de un Convenio Específico de Trabajo entre la UNRC y el Gobierno de La Pampa. Palabras clave: Ingrese hasta 5 palabras clave, distintas de las utilizadas en el título del proyecto y que describan la naturaleza del objeto de estudio. bioarqueología economía cazadora-recolectora adaptación biosocial comportamiento mortuorio Violencia y tensión social. Abstract: Resumen del proyecto en inglés (extensión del campo 2000 caracteres). This project has been designed to improve the knoledge on adaptive processes and biosocial dynamics among aborigine past societies in Argentina. This research is focused on the analysis and evaluation of documentary potential of bioarchaeological skeletal remains with reliable contextual associations. It is specifically centered in the osteological as well as cultural analysis of more than one hundred skeletons from native prehistoric populations from a prehistoric collective burial site in La Pampa province. (Médano Petroquímica, Departamento Puelén). Among other aspects, the importance of the materials to be analyzed lies in the fact that they correspond to a subsistence economy based on hunting and gathering, and have been chronologically assigned to Late Holocene times (burials dated 393 ± 41 cal AP AMS), a period denoting particular interest due to the dynamic succession of sociocultural events that characterized it. Evidence so far recovered accounts for complex funerary practices consisting of indirect, secondary collective burials, as well as the presence of events of violence and/o social tension. Methods and techniques consist in the description and identification based on the observation, and recording of skeletal markers, according to laboratory as well as field work standards: The University of Chicago Archaeological Summer Field School (ASFS) forms, and the “Standards” forms from Buikstra y Ubelaker (1994), modified and adapted by our research team, among others. Data obtained shall be used for graphic (descriptive statistics) as well as multivariate analyses and non parametric statistics (inferential stage). Descriptive as well as analytical aspects such as those related to age and sex determination, feeding habits (morphological as well as chemical markers of bones and teeth), subsistence economy, patterns of social differentiation, kinship patterns, sex-linked roles, body use, diet, health and disease, all of them in close relationship with the hunter-gatherer subsistence economy (Buikstra y Beck 2006, Larsen, 1997, White y Folkens 2000). Given the nature and complexity of the burial disposals, characterized by complex collective burials, a core chapter of our interest is that of social dimensions of mortuary behavior as well as the discussion and interpretation of markers of violence and/or social tension. Given the amount of evidence gathered so far, relevant information as well as data to be analyzed will be obtained by specific bioarchaeological methods and techniques, trying to observe and discuss possible trends as well as to formulate interpretive models to be verified or rejected with the arrival of new, reliable data both at individual level as well as at the archaeological sites to be excavated. This project has been particularly considered in a bilateral agreement between UNRC and the Government of La Pampa Province.

Early Tithonian Saturnalidae (Radiolaria) from the Solnhofen area (Southern Franconian Alb, Southern Germany)

In order to complete the study of the very rich early Tithonian (Hybonoticeras hybonotum Zone) radiolarian fauna from the Muhlheim Member of the Mornsheim Formation outcropping in the Solnhofen area, the taxa of the family Saturnalidae are described. Although rather rare, the Saturnalidae of this member contain 14 species, ten of which are new. These species belong to four genera, one of which is new (Moebicircus n. gen.), and two subfamilies (Hexasaturnalinae and Saturnalinae). The taxonomy at generic level of these late Jurassic radiolarians is founded on the basis of the position of the blades along the ring and number and morphology of the spines. Type of spines (simple or forked) has either species level value or none, depending on species. Special attention was given to anomalies, which sometimes are rather frequent, since they can give information of paleobiological and paleoecological orders. Among them frequent cases of open ring and additional spines with Dicerosaturnalis and Siamese twins skeletons with Spongosaturninus and Dicerosaturnalis are to be noted. The authors hope that this new taxonomy will give a better image of the evolution and radiation of the Saturnalidae during the Tithonian.

Inverse problems for invariant algebraic curves: explicit computations

Given an algebraic curve in the complex affine plane, we describe how to determine all planar polynomial vector fields which leave this curve invariant. If all (finite) singular points of the curve are nondegenerate, we give an explicit expression for these vector fields. In the general setting we provide an algorithmic approach, and as an alternative we discuss sigma processes.

Multi-scale support vector algorithms for hot spot detection and modelling

The algorithmic approach to data modelling has developed rapidly these last years, in particular methods based on data mining and machine learning have been used in a growing number of applications. These methods follow a data-driven methodology, aiming at providing the best possible generalization and predictive abilities instead of concentrating on the properties of the data model. One of the most successful groups of such methods is known as Support Vector algorithms. Following the fruitful developments in applying Support Vector algorithms to spatial data, this paper introduces a new extension of the traditional support vector regression (SVR) algorithm. This extension allows for the simultaneous modelling of environmental data at several spatial scales. The joint influence of environmental processes presenting different patterns at different scales is here learned automatically from data, providing the optimum mixture of short and large-scale models. The method is adaptive to the spatial scale of the data. With this advantage, it can provide efficient means to model local anomalies that may typically arise in situations at an early phase of an environmental emergency. However, the proposed approach still requires some prior knowledge on the possible existence of such short-scale patterns. This is a possible limitation of the method for its implementation in early warning systems. The purpose of this paper is to present the multi-scale SVR model and to illustrate its use with an application to the mapping of Cs137 activity given the measurements taken in the region of Briansk following the Chernobyl accident.

Propagation connectivity of random hypergraphs

We study the concept of propagation connectivity on random 3-uniform hypergraphs. This concept is inspired by a simple linear time algorithm for solving instances of certain constraint satisfaction problems. We derive upper and lower bounds for the propagation connectivity threshold, and point out some algorithmic implications.