624 resultados para logs
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Im niedersächsischen Teil des Osnabrücker Berglands wurde der Muschelkalk lithostratigraphisch untersucht und sein Gesteinsinventar im Hinblick auf dessen Eignung für die Herstellung von Straßenbaumaterial sowie andere Nutzungsmöglichkeiten überprüft. Die methodischen Schwerpunkte lagen bei der Aufschluß-Bearbeitung, der Ermittlung technologischer Kennwerte nach den einschlägigen Prüf-Vorschriften für Straßenbaustoffe und der Bestimmung der durchschnittlichen geochemischen Zusammensetzung von Teilschichtfolgen mittels RFA-Analysen. Durch geologische Aufnahme und Korrelation von zahlreichen Tagesaufschlüssen und zwei Kernbohrungen gelang es, eine detaillierte lithostratigraphische Regionalgliederung des ca. 80 m mächtigen Unteren Muschelkalks für den Raum Osnabrück zu erarbeiten. Eine von DUCHROW & GROETZNER (1984) publizierte lithostratigraphische Gliederung des Oberen Muschelkalks (ca. 60 m mächtig) im Arbeitsgebiet erwies sich als nachvollziehbar und wird auch in Gamma- Ray-Logs aus Bohrungen deutlich. Die Interpretation der geologischen Befunde ergab, daß die 1ithofaziellen Voraussetzungen für den Hartsteinabbau im Oberen Muschelkalk am günstigsten im Raum SW Osnabrücks sind. Nach den Ergebnissen der technologischen Untersuchungen sind nicht nur die zur Zeit bereits im Abbau stehenden, dickbankigen, sehr karbonatreichen Einschaltungen in den Oberen Muschelkalk (Haupt-Trochitenkalk, Terebratelkalk) für die Herstellung von Straßenbaumaterial geeignet, sondern mit einigen Einschränkungen auch der hierfür bisher nicht genutzte Untere Muschelkalk und die Gelben Basisschichten (Oberer Muschelkalk). Der Abbau und Einsatz dieses Gesteinsmaterials im Straßen- und Wegebau kann einen wichtigen Beitrag zur Streckung der nur noch geringen Vorräte an hochwertigem Kalkstein liefern. Die Gesteine des Unteren Muschelkalks und der Gelben Basisschichten (Oberer Muschelkalk) sind darüber hinaus aufgrund ihrer geochemischen Zusammensetzung ein gutes Rohmaterial für die Herstellung von "Kohlensaurem Kalk" und "Kohlensaurem Magnesiumkalk". Diese Produkte werden in zunehmendem Maße in der Forst- und Landwirtschaft eingesetzt, um durch saure Niederschläge hervorgerufene Vegetationsschäden zu begrenzen.
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Relatório de Estágio apresentado à Escola Superior de Educação de Paula Frassinetti para obtenção de grau de Mestre em Educação Pré-Escolar e Ensino do 1º Ciclo do Ensino Básico
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This thesis investigates how web search evaluation can be improved using historical interaction data. Modern search engines combine offline and online evaluation approaches in a sequence of steps that a tested change needs to pass through to be accepted as an improvement and subsequently deployed. We refer to such a sequence of steps as an evaluation pipeline. In this thesis, we consider the evaluation pipeline to contain three sequential steps: an offline evaluation step, an online evaluation scheduling step, and an online evaluation step. In this thesis we show that historical user interaction data can aid in improving the accuracy or efficiency of each of the steps of the web search evaluation pipeline. As a result of these improvements, the overall efficiency of the entire evaluation pipeline is increased. Firstly, we investigate how user interaction data can be used to build accurate offline evaluation methods for query auto-completion mechanisms. We propose a family of offline evaluation metrics for query auto-completion that represents the effort the user has to spend in order to submit their query. The parameters of our proposed metrics are trained against a set of user interactions recorded in the search engine’s query logs. From our experimental study, we observe that our proposed metrics are significantly more correlated with an online user satisfaction indicator than the metrics proposed in the existing literature. Hence, fewer changes will pass the offline evaluation step to be rejected after the online evaluation step. As a result, this would allow us to achieve a higher efficiency of the entire evaluation pipeline. Secondly, we state the problem of the optimised scheduling of online experiments. We tackle this problem by considering a greedy scheduler that prioritises the evaluation queue according to the predicted likelihood of success of a particular experiment. This predictor is trained on a set of online experiments, and uses a diverse set of features to represent an online experiment. Our study demonstrates that a higher number of successful experiments per unit of time can be achieved by deploying such a scheduler on the second step of the evaluation pipeline. Consequently, we argue that the efficiency of the evaluation pipeline can be increased. Next, to improve the efficiency of the online evaluation step, we propose the Generalised Team Draft interleaving framework. Generalised Team Draft considers both the interleaving policy (how often a particular combination of results is shown) and click scoring (how important each click is) as parameters in a data-driven optimisation of the interleaving sensitivity. Further, Generalised Team Draft is applicable beyond domains with a list-based representation of results, i.e. in domains with a grid-based representation, such as image search. Our study using datasets of interleaving experiments performed both in document and image search domains demonstrates that Generalised Team Draft achieves the highest sensitivity. A higher sensitivity indicates that the interleaving experiments can be deployed for a shorter period of time or use a smaller sample of users. Importantly, Generalised Team Draft optimises the interleaving parameters w.r.t. historical interaction data recorded in the interleaving experiments. Finally, we propose to apply the sequential testing methods to reduce the mean deployment time for the interleaving experiments. We adapt two sequential tests for the interleaving experimentation. We demonstrate that one can achieve a significant decrease in experiment duration by using such sequential testing methods. The highest efficiency is achieved by the sequential tests that adjust their stopping thresholds using historical interaction data recorded in diagnostic experiments. Our further experimental study demonstrates that cumulative gains in the online experimentation efficiency can be achieved by combining the interleaving sensitivity optimisation approaches, including Generalised Team Draft, and the sequential testing approaches. Overall, the central contributions of this thesis are the proposed approaches to improve the accuracy or efficiency of the steps of the evaluation pipeline: the offline evaluation frameworks for the query auto-completion, an approach for the optimised scheduling of online experiments, a general framework for the efficient online interleaving evaluation, and a sequential testing approach for the online search evaluation. The experiments in this thesis are based on massive real-life datasets obtained from Yandex, a leading commercial search engine. These experiments demonstrate the potential of the proposed approaches to improve the efficiency of the evaluation pipeline.
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The injectivity, containment and storage capacity of sandstone reservoirs in a field in the Coastal Swamp depobelt of the onshore eastern Niger Delta were evaluated using wireline logs and seismic data to assess their potentials for carbon dioxide storage and geosequestration. The reservoir formation consists of multilayered alternating beds of sandstone and shale cap rocks. Active seismicity and fracturing intensity are low and growth faults provide the reservoir sealing mechanisms. Three reservoirs were delineated at depths between 3319 m and 3539 m which will keep injected CO2 in a supercritical state. The reservoir depth of at least 800 m, porosity and permeability of more than 10 percent and 20 mD, and a caprock thickness of at least 10 m, in addition to geothermal gradients of 13.46 to 33.66 ºC /km are the ideal conditions for the efficacy of storage. Comparison of the derived reservoir and seal properties such as porosity, permeability, thickness and depth with the minimum recommended site selection criteria shows that the reservoirs are potential candidates for carbon geosequestration with a total theoretical storage capacity of 147MM tons.
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L’unité IDM fournit des services opérationnels utilisés par différents utilisateurs des scientifiques, des partenaires mais également le grand public. L’unité IDM souhaite mieux connaitre ses utilisateurs et évaluer la performance de ses services, afin : . D’améliorer le service rendu . D’effectuer du reporting mensuel/annuel . De répondre aux engagements de service (SLA) Pour cela, il faut utiliser différentes sources d’informations : Monitoring : permet de surveiller les services opérationnels et de connaitre l’état actuel et déterminer le taux de disponibilité . Logs d’activité o Logs serveurs (http, ftp, … ) : permet de connaître l’activité réelle des utilisateurs o Logs applicatifs : permet de récupérer des informations plus précise sur les différentes briques logicielles des services opérationnels L’objectif IDM, à travers cette alternance est de mettre en place une infrastructure commune à l’ensemble des systèmes d’informations.
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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Florestal, 2016.
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Ensemble Stream Modeling and Data-cleaning are sensor information processing systems have different training and testing methods by which their goals are cross-validated. This research examines a mechanism, which seeks to extract novel patterns by generating ensembles from data. The main goal of label-less stream processing is to process the sensed events to eliminate the noises that are uncorrelated, and choose the most likely model without over fitting thus obtaining higher model confidence. Higher quality streams can be realized by combining many short streams into an ensemble which has the desired quality. The framework for the investigation is an existing data mining tool. First, to accommodate feature extraction such as a bush or natural forest-fire event we make an assumption of the burnt area (BA*), sensed ground truth as our target variable obtained from logs. Even though this is an obvious model choice the results are disappointing. The reasons for this are two: One, the histogram of fire activity is highly skewed. Two, the measured sensor parameters are highly correlated. Since using non descriptive features does not yield good results, we resort to temporal features. By doing so we carefully eliminate the averaging effects; the resulting histogram is more satisfactory and conceptual knowledge is learned from sensor streams. Second is the process of feature induction by cross-validating attributes with single or multi-target variables to minimize training error. We use F-measure score, which combines precision and accuracy to determine the false alarm rate of fire events. The multi-target data-cleaning trees use information purity of the target leaf-nodes to learn higher order features. A sensitive variance measure such as f-test is performed during each node’s split to select the best attribute. Ensemble stream model approach proved to improve when using complicated features with a simpler tree classifier. The ensemble framework for data-cleaning and the enhancements to quantify quality of fitness (30% spatial, 10% temporal, and 90% mobility reduction) of sensor led to the formation of streams for sensor-enabled applications. Which further motivates the novelty of stream quality labeling and its importance in solving vast amounts of real-time mobile streams generated today.
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The purpose of this study was to find out if preschool teachers use physical concepts included in thecurriculum for grade 1-3 (gravity, center of gravity, equilibrium, balance and friction) with the children in the outdoor environment at the preschool, if preschool teachers believe it is concepts that works to use with children in preschool outdoor environment and if the work could be developed regarding these physical concepts. To conduct the study, observations were done of preschool yards and semi-structured interviewswere conducted with preschool teachers who work in preschool right now. The result shows that it requires little resources to work with these concepts outdoors and teachers are positive to use the concepts but they do not use it to the extent they would like for a variety of reasons. In various ways, the preschool teachers also expresses that it is possible for children to absorb the physical concepts at preschool and it would help to later build a foundation in the form of childrens thinking that science is something fun and exciting that belong in their everyday lives.
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According to Bakhtin (1997), is as the genre entered into a speech, linked to certain field of human activity, that the subject of language and appropriates constitutes. Some of these fields have more close with the daily activities of individuals than others and produce more malleable, genres that allow greater individual interventions, as in the case of personal journal. Due to the intimate character of this genre, it attracted our attention and invited us to examine it more closely. In this paper, we investigate the personal diary genre, from the analysis of two documents written by ordinary people, in an attempt to learn a little bit more about the genre, of the writers and how their relationship with the language. To this end, two adults female people, provided us with their personal logs for analysis. Theoretically, we rely on the assumptions of Mikhail Bakhtin (1997) on the genres of discourse and the work developed by researcher Philippe Lejeune (2008) about autobiographical texts written by ordinaries people. The analysis of the diaries showed that, in addition to record experiences and feelings of the people, they were used as instrument of prayer to one of the person and as a means of creating a public image of himself, to the other.