A microscope for the data center

Nowadays, data centers are large energy consumers and the trend for next years is expected to increase further, considering the growth in the order of cloud services. A large portion of this power consumption is due to the control of physical parameters of the data center (such as temperature and humidity). However, these physical parameters are tightly coupled with computations, and even more so in upcoming data centers, where the location of workloads can vary substantially due, for example, to workloads being moved in the cloud infrastructure hosted in the data center. Therefore, managing the physical and compute infrastructure of a large data center is an embodiment of a Cyber-Physical System (CPS). In this paper, we describe a data collection and distribution architecture that enables gathering physical parameters of a large data center at a very high temporal and spatial resolution of the sensor measurements. We think this is an important characteristic to enable more accurate heat-flow models of the data center and with them, find opportunities to optimize energy consumptions. Having a high-resolution picture of the data center conditions, also enables minimizing local hot-spots, perform more accurate predictive maintenance (failures in all infrastructure equipments can be more promptly detected) and more accurate billing. We detail this architecture and define the structure of the underlying messaging system that is used to collect and distribute the data. Finally, we show the results of a preliminary study of a typical data center radio environment.

Inspeção a sistemas de climatização e conceção de um sistema de gestão da manutenção aplicado em edifícios universitários

Os requisitos legais impostos ao processo de manutenção das instalações de AVAC em edifícios evoluíram nos últimos 10 anos no sentido de uma crescente exigência, obrigando à existência de planos de manutenção preventiva, livros de ocorrências, inspeções obrigatórias a equipamentos, auditorias ou certi cações energéticas. Para os responsáveis da gestão da manutenção de edifícios, em particular para os que gerem uma quantidade signi cativa de equipamentos e instalações, fazê-lo sem o auxílio de uma ferramenta informática é um desa o considerável. Este trabalho visou a arquitetura de um sistema de gestão da manutenção de edifícios que foi aplicado a um caso real, nomeadamente o campus de Azurém da Universidade do Minho. Foi desenvolvida uma metodologia de inspeção, recolha e tratamento da informação para os sistemas técnicos de AVAC existentes nos edifícios. Esta metodologia foi implementada numa aplicação informática que permite aos técnicos responsáveis pela manutenção uma agilização de tarefas, resultado de um vasto conjunto de informações e de ferramentas desenvolvidas propositadamente, facilmente acessíveis através da rede Wi-Fi universitária. A integração das tarefas de manutenção na aplicação informática permitirá aumentar o grau de e ciência e e cácia nas atividades inerentes à manutenção, aumentando o grau de satisfação dos técnicos envolvidos no processo e dos utentes dos edifícios. O registo das tarefas de manutenção realizadas e dos respetivos custos em bases de dados, tornará também possível a geração de relatórios que sustentarão decisões mais assertivas. A implementação na aplicação informática dos seis módulos estruturais do Sistema de Gestão da Manutenção e Consumos Energéticos, SGMCE, permitirá atingir um nível de gestão da manutenção mais elevado, criando condições para o efetuar o comissionamento. O comissionamento prolonga-se por toda a vida do edifício, permitindo atingir os objetivos designados pelo seu promotor, dentro de patamares de custos de exploração energéticos e de custos optimizados de manutenção.

Potencialidades de uma abordagem com Interdisciplinaridade entre matemática e estudo do meio e centrada no ambiente

O presente estudo partiu do problema “Como promover aprendizagens da Matemática e do Estudo do Meio numa perspetiva interdisciplinar, explorando o mundo real?”. Neste sentido, tem como objetivos: selecionar recursos e atividades que se revelem motivadoras para os alunos; demonstrar a relevância da inter-relação de diferentes conceitos e a importância da sua ligação com as vivências dos alunos; ativar o envolvimento dos alunos para a aprendizagem da Matemática através do Estudo do meio e de situações do mundo real; estimular a perceção do aluno da presença da Matemática nos conteúdos de Estudo do Meio; fomentar a compreensão da relação dos conteúdos de Matemática e estudo do Meio. Com este propósito formularam-se as seguintes questões: (1) Que tipo de atividades se poderão proporcionar de forma a motivar os alunos para os conteúdos do Estudo do Meio e da Matemática? (2) De que forma a exploração das situações/conceções do quotidiano poderá promover o envolvimento dos alunos na aprendizagem da Matemática e do Estudo do Meio? (3) De que forma o Ensino Experimental das Ciências numa perspetiva interdisciplinar pode contribuir para desenvolver tanto as competências conceptuais (fatores do ambiente: temperatura e humidade/OTD/números racionais), como capacidades de pensamento crítico e tomada de decisão inerente? Tendo em vista os objetivos do estudo, desenvolveram-se, com uma turma do 2º ano de escolaridade, quatro situações formativas, que envolveram as disciplinas de Matemática e Estudo do Meio. O domínio de conteúdos preponderante na área de Estudo do Meio foi À descoberta do Ambiente Natural, enquanto na Matemática os domínios predominantes foram Organização e tratamento de dados e Números e operações. Foram realizadas diversas atividades experimentais, onde os alunos tiveram um papel ativo na construção dos seus conhecimentos. A investigação segue uma metodologia qualitativa, centrando-se num estudo de caso, onde se caracteriza uma experiência interdisciplinar que envolveu as disciplinas de Matemática e Estudo do Meio. Os dados foram recolhidos pela professora investigadora através de gravações de vídeo e áudio, fotografias, trabalhos dos alunos e de registos da professora investigadora. Os resultados demonstraram como os alunos mobilizaram e apropriaram os conteúdos de Matemática e Estudo do Meio. Os dados, através da análise de conteúdo, parecem iv sugerir que houve uma evolução no desempenho dos alunos a vários níveis, nomeadamente: no trabalho cooperativo, no envolvimento da tarefa, nas interações estabelecidas e na motivação para a aprendizagem da Matemática e Estudo do Meio.

Optimization of fMRI Processing Parameters for Simutaneous Acquisition of EEG/fMRI in Focal Epilepsy

In the context of focal epilepsy, the simultaneous combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) holds a great promise as a technique by which the hemodynamic correlates of interictal spikes detected on scalp EEG can be identified. The fact that traditional EEG recordings have not been able to overcome the difficulty in correlating the ictal clinical symptoms to the onset in particular areas of the lobes, brings the need of mapping with more precision the epileptogenic cortical regions. On the other hand, fMRI suggested localizations more consistent with the ictal clinical manifestations detected. This study was developed in order to improve the knowledge about the way parameters involved in the physical and mathematical data, produced by the EEG/fMRI technique processing, would influence the final results. The evaluation of the accuracy was made by comparing the BOLD results with: the high resolution EEG maps; the malformative lesions detected in the T1 weighted MR images; and the anatomical localizations of the diagnosed symptomatology of each studied patient. The optimization of the set of parameters used, will provide an important contribution to the diagnosis of epileptogenic focuses, in patients included on an epilepsy surgery evaluation program. The results obtained allowed us to conclude that: by associating the BOLD effect with interictal spikes, the epileptogenic areas are mapped to localizations different from those obtained by the EEG maps representing the electrical potential distribution across the scalp (EEG); there is an important and solid bond between the variation of particular parameters (manipulated during the fMRI data processing) and the optimization of the final results, from which smoothing, deleted volumes, HRF (used to convolve with the activation design), and the shape of the Gamma function can be certainly emphasized.

Data fusion with computational intelligence techniques: a case study of fuzzy inference for terrain assessment

Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Semantic relations extraction from unstructured information for domain ontologies enrichment

Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.

Pervasive adaptive data acquisition gateway for critical healthcare

The data acquisition process in real-time is fundamental to provide appropriate services and improve health professionals decision. In this paper a pervasive adaptive data acquisition architecture of medical devices (e.g. vital signs, ventilators and sensors) is presented. The architecture was deployed in a real context in an Intensive Care Unit. It is providing clinical data in real-time to the INTCare system. The gateway is composed by several agents able to collect a set of patients’ variables (vital signs, ventilation) across the network. The paper shows as example the ventilation acquisition process. The clients are installed in a machine near the patient bed. Then they are connected to the ventilators and the data monitored is sent to a multithreading server which using Health Level Seven protocols records the data in the database. The agents associated to gateway are able to collect, analyse, interpret and store the data in the repository. This gateway is composed by a fault tolerant system that ensures a data store in the database even if the agents are disconnected. The gateway is pervasive, universal, and interoperable and it is able to adapt to any service using streaming data.

Enhancing the vertical resolution of surface georadar data

There are far-reaching conceptual similarities between bi-static surface georadar and post-stack, "zero-offset" seismic reflection data, which is expressed in largely identical processing flows. One important difference is, however, that standard deconvolution algorithms routinely used to enhance the vertical resolution of seismic data are notoriously problematic or even detrimental to the overall signal quality when applied to surface georadar data. We have explored various options for alleviating this problem and have tested them on a geologically well-constrained surface georadar dataset. Standard stochastic and direct deterministic deconvolution approaches proved to be largely unsatisfactory. While least-squares-type deterministic deconvolution showed some promise, the inherent uncertainties involved in estimating the source wavelet introduced some artificial "ringiness". In contrast, we found spectral balancing approaches to be effective, practical and robust means for enhancing the vertical resolution of surface georadar data, particularly, but not exclusively, in the uppermost part of the georadar section, which is notoriously plagued by the interference of the direct air- and groundwaves. For the data considered in this study, it can be argued that band-limited spectral blueing may provide somewhat better results than standard band-limited spectral whitening, particularly in the uppermost part of the section affected by the interference of the air- and groundwaves. Interestingly, this finding is consistent with the fact that the amplitude spectrum resulting from least-squares-type deterministic deconvolution is characterized by a systematic enhancement of higher frequencies at the expense of lower frequencies and hence is blue rather than white. It is also consistent with increasing evidence that spectral "blueness" is a seemingly universal, albeit enigmatic, property of the distribution of reflection coefficients in the Earth. Our results therefore indicate that spectral balancing techniques in general and spectral blueing in particular represent simple, yet effective means of enhancing the vertical resolution of surface georadar data and, in many cases, could turn out to be a preferable alternative to standard deconvolution approaches.

Diseño y Desarrollo de un cliente Web Processing Services (WPS) para gvSIG

Configuració d'un entorn de desenvolupament en el IDE Eclipse. Introducció als SIG. Usos, utilitats i exemples. Conèixer la eina gvSIG. Conèixer els estàndards més estesos de l'Open Geospatial Consortium (OGC) i en especial del Web Processing Services. Analitzar, dissenyar i desenvolupar un client capaç de consumir serveis wps.

Diseño y Desarrollo de un cliente Web Processing Service (WPS) para gvSIG

Estudi dels estàndards definits per l'Open Geospatial Consortium, i més concretament en l'estàndard Web Processing Service (wps). Així mateix, ha tingut una component pràctica que ha consistit en el disseny i desenvolupament d'un client capaç de consumir serveis Web creats segons wps i integrat a la plataforma gvSIG.

Fracture imaging within a granitic rock aquifer using multiple-offset single-hole and cross-hole GPR reflection data

The sparsely spaced highly permeable fractures of the granitic rock aquifer at Stang-er-Brune (Brittany, France) form a well-connected fracture network of high permeability but unknown geometry. Previous work based on optical and acoustic logging together with single-hole and cross-hole flowmeter data acquired in 3 neighbouring boreholes (70-100 m deep) has identified the most important permeable fractures crossing the boreholes and their hydraulic connections. To constrain possible flow paths by estimating the geometries of known and previously unknown fractures, we have acquired, processed and interpreted multifold, single- and cross-hole GPR data using 100 and 250 MHz antennas. The GPR data processing scheme consisting of timezero corrections, scaling, bandpass filtering and F-X deconvolution, eigenvector filtering, muting, pre-stack Kirchhoff depth migration and stacking was used to differentiate fluid-filled fracture reflections from source generated noise. The final stacked and pre-stack depth-migrated GPR sections provide high-resolution images of individual fractures (dipping 30-90°) in the surroundings (2-20 m for the 100 MHz antennas; 2-12 m for the 250 MHz antennas) of each borehole in a 2D plane projection that are of superior quality to those obtained from single-offset sections. Most fractures previously identified from hydraulic testing can be correlated to reflections in the single-hole data. Several previously unknown major near vertical fractures have also been identified away from the boreholes.

Probabilistic base calling of Solexa sequencing data.

BACKGROUND: Solexa/Illumina short-read ultra-high throughput DNA sequencing technology produces millions of short tags (up to 36 bases) by parallel sequencing-by-synthesis of DNA colonies. The processing and statistical analysis of such high-throughput data poses new challenges; currently a fair proportion of the tags are routinely discarded due to an inability to match them to a reference sequence, thereby reducing the effective throughput of the technology. RESULTS: We propose a novel base calling algorithm using model-based clustering and probability theory to identify ambiguous bases and code them with IUPAC symbols. We also select optimal sub-tags using a score based on information content to remove uncertain bases towards the ends of the reads. CONCLUSION: We show that the method improves genome coverage and number of usable tags as compared with Solexa's data processing pipeline by an average of 15%. An R package is provided which allows fast and accurate base calling of Solexa's fluorescence intensity files and the production of informative diagnostic plots.

Creating large and accurate mosaics of the mid-atlantic ridge

We present an approach for creating image mosaics using navigation data consisting on 3D position estimates provided by sensors such as LBL available in deep water surveys. A central issue with acoustic 3D positioning is that the accuracy is far too low compositing the images within reasonable accuracy

High-performance payload data handling system for Gaia

Gaia is the most ambitious space astrometry mission currently envisaged and is a technological challenge in all its aspects. We describe a proposal for the payload data handling system of Gaia, as an example of a high-performance, real-time, concurrent, and pipelined data system. This proposal includes the front-end systems for the instrumentation, the data acquisition and management modules, the star data processing modules, and the payload data handling unit. We also review other payload and service module elements and we illustrate a data flux proposal.

Statistical significance of quantitative PCR.

BACKGROUND: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection and processing strategies have been described for the implementation of quantitative PCR. However, they can be experimentally cumbersome, their relative performances have not been evaluated systematically, and they often remain poorly validated statistically and/or experimentally. In this study, we evaluated the performance of known methods, and compared them with newly developed data processing strategies in terms of resolution, precision and robustness. RESULTS: Our results indicate that simple methods that do not rely on the estimation of the efficiency of the PCR amplification may provide reproducible and sensitive data, but that they do not quantify DNA with precision. Other evaluated methods based on sigmoidal or exponential curve fitting were generally of both poor resolution and precision. A statistical analysis of the parameters that influence efficiency indicated that it depends mostly on the selected amplicon and to a lesser extent on the particular biological sample analyzed. Thus, we devised various strategies based on individual or averaged efficiency values, which were used to assess the regulated expression of several genes in response to a growth factor. CONCLUSION: Overall, qPCR data analysis methods differ significantly in their performance, and this analysis identifies methods that provide DNA quantification estimates of high precision, robustness and reliability. These methods allow reliable estimations of relative expression ratio of two-fold or higher, and our analysis provides an estimation of the number of biological samples that have to be analyzed to achieve a given precision.