Este trabalho apresenta uma ferramenta denominada FAGAC que se destina à administração e gerência de aglomerados de computadores, através de uma interface Web. A ferramenta tem a característica de ser pouco intrusiva no ambiente, ou seja, consumir poucos recursos computacionais a fim de não causar atrasos na execução dos serviços e processos do sistema. Inclui também funcionalidades que geram informações para o cliente ou administrador do sistema, a respeito do estado de ocupação de memória e de CPU, monitoramento do estado da carga de cada computador, tráfego gerado na rede, espaços em disco, informações de hardware e configurações do sistema. A validação da ferramenta foi feita por meio de experimentos comparativos das cinco principais funcionalidades comuns entre o FAGAC e o Ganglia, mostrando melhores resultados nas cinco funcionalidades, e que FAGAC é menos intrusivo que o Ganglia. / This research presents a tool named FAGAC for cluster management and administration of agglomerated of computers, through a web interface. This tool has the characteristic of being little intrusive in the environment, what means that it should consume a little computational resource in order to not delay the services and processes in execution at the system. The tool has functions to inform the customer or system administrator about the status of memory and CPU occupation, monitorating the load of each computer, the traffic generated in the net, disk space, hardware informations and configurations of the system. It was validated by comparing the results of the experiments from the main similar functions between FAGAC and Ganglia, showing best results for five functions tested, and that FAGAC is less intrusive than Ganglia.

The ultimate goals of adaptive serious educational games (adaptive SEG) are to promote effective learning and maximising enjoyment for players. Firstly, we develop the SEG by combining knowledge space (learning materials) and game content space to be used to convey learning materials. We propose a novel approach that serves toward minimising experts' involvement in mapping learning materials to game content space. We categorise both content spaces using known procedures and apply BIRCH clustering algorithm to categorise the similarity of the game content. Then, we map both content spaces based on the statistical properties and/or by the knowledge learning handout. Secondly, we construct a predictive model by learning data sets constructed through a survey on public testers who labelled their in-game data with their reported experiences. A Random Forest algorithm non-intrusively predicts experiences via the game data. Lastly, it is not feasible to manually select or adapt the content from both spaces because of the immense amount of options available. Therefore, we apply reinforcement learning technique to generate a series of learning goals that promote an efficient learning for the player. Subsequently, a combination of conditional branching and agglomerative hierarchical clustering select the most appropriate game content for each selected education material. For a proof-of-concept, we apply the proposed approach to producing the SEG, named Chem Dungeon, as a case study to demonstrate the effectiveness of our proposed methods.

This paper treats a non-intrusive method of measuring electric fields in plasmas and other sensitive or hostile environments. The method is based on the use of an atomic hydrogen beam prepared in the metastable fine structure quantum state 2s1/2. Interaction with the field that is to be measured causes Stark mixing with the closely lying 2p1/2, whose spontaneous decay rate is much higher than that of 2s1/2. As a result, the total transition rate to the ground state and consequently the intensity of the Lyman-α line (121.6nm) is increased. Observations of emitted radiation from a region in which the interaction takes place are used to draw conclusions about the electric field, effectively providing a way to measure it. In the first section, the theory behind the method is described, using time dependent perturbation theory and taking into account both Lamb shift and hyperfine structure. A description of the set-up that we have used to test the theoretical predictions follows and practical aspects related to the operation of the experiment are briefly addressed. Measurements of the dependence of the Lyman-α intensity on both electric field frequency and amplitude are presented and shown to be in agreement with theory. These measurements have been performed in vacuum and in an argon plasma, both for static and RF fields. Two mechanisms, labeled oscillatory and geometrical saturation, that decrease the emitted intensity for strong fields are identified and described, and both are of importance for the future implementation of the studied diagnostic in a fusion device or other plasma experiment. Studies of the field profiles between a pair of electrically polarized plates have been carried out and algorithms for relating measured data to actual values of electric field strength have been developed. For static fields in vacuum, collected data is compensated for geometrical saturation and the resulting profiles are compared to those calculated with a finite element method. Good correspondence is seen in many cases, and where it is not, the discrepancies are explained. Static profile measurements in a plasma show the formation of a sheath whose thickness has been studied while varying discharge current, pressure and plasma frequency. The qualitative dependence of the sheath thickness on these parameters is in accordance with well established theory. When it comes to RF fields, a possible standing wave pattern is detected in the plasma despite problems with low signal to noise ratio. In order to optimize the working conditions of the set-up, effects of charge accumulation due to ions present in the hydrogen beam have been studied as well as errors due to residual particle fluxes during the off-phase when pulsing the beam. A conceptual design suggestion for implementing the method in the edge plasma of a tokamak or another similar device, based on the collected information, is also given.

The present study investigates the effects of cognitive inhibitory mechanisms and tendency to suppress thoughts on the frequency and intensity of traumatic intrusions within the trauma film paradigm. Non clinical participants&rsquo / response inhibition and proactive inhibition levels and tendency to suppress thoughts were measured prior to exposure to a trauma film. One week after seeing the trauma film, participants reported the frequency and intensity of trauma film related intrusions with an intrusion diary and Impact of Events Scale. No significant effect of response inhibition, proactive inhibition and thought suppression tendency was found on the frequency and intensity of trauma film related intrusions. Findings of the study are discussed.

No description available.

This dissertation explores the problem of energy estimation in supervised Non-Intrusive Load Monitoring (NILM). NILM refers to a set of techniques used to estimate the electricity consumed by individual loads in a building from measurements of the total electrical consumption. Most commonly, NILM works by first attributing any significant change in the total power consumption (also known as an event) to a specific load and subsequently using these attributions (i.e. the labels for the events) to estimate energy for each load. For this last step, most proposed solutions in the field impart simplifying assumptions to make the problem more tractable. This has severely limited the practicality of the proposed solutions. To address this knowledge gap, we present a framework for creating appliance models based on classification labels and aggregate power measurements that can help relax many of these assumptions. Within the framework, we model the problem of utilizing a sequence of event labels to generate energy estimates as a broader class of problems that has two major components (i) With the understanding that the labels arise from a process with distinct states and state transitions, we estimate the underlying Finite State Machine (FSM) model that most likely generated the observed sequence (ii) We allow for the observed sequence to have errors, and present an error correction algorithm to detect and correct them. We test the framework on data from 43 appliances collected from 19 houses and find that it improves errors in energy estimates when compared to the case with no correction in 19 appliances by a factor of 50, leaves 17 appliances unchanged, and negatively impacts 6 appliances by a factor of 1.4. This approach of utilizing event sequences to estimate energy has implications in virtual metering of appliances as well. In a case study, we utilize this framework in order to substitute the need of plug-level sensors with cheap and easily deployable contacless sensors, and find that on the 6 appliances virtually metered using magnetic field sensors, the inferred energy values have an average error of 10:9%.

Le concept de l'avion plus électrique a conduit les industriels à focaliser une partie de leurs efforts sur les risques liés à l'utilisation de la haute tension dans un environnement sévère (Basse pression, large plage de température et d'humidité …). Les risques associés sont l'existence et le développement de décharges partielles conduisant à terme à la défaillance du système dans lequel, elles se produisent. Considérant cette problématique, le groupe Liebherr Elektronik GmbH, en collaboration avec le laboratoire Laplace, a lancé l'étude d'une méthode permettant de détecter les décharges partielles dans des convertisseurs destinés à des applications aéronautiques. Ce sont les résultats de ce travail qui font l'objet de cette thèse. La première partie fait état des connaissances actuelles sur les décharges partielles, de leur nature physique aux méthodes de détection utilisées. Dans la seconde partie, trois phases de mesures validant l'efficacité de la méthode étudiée sont présentées et leurs résultats sont discutés. Enfin, dans une troisième partie, les conclusions de nos travaux et leurs perspectives sont présentées. / The more electrical airplane concept led industrial companies to focus a part of their efforts on risks linked to the use of high voltage in a severe environment (Low pressure, wide range of temperature and humidity …). Associated risks are the existence and the growing of partial discharges ultimately leading to the breakdown of the system in which they occur. Considering this problematic, the Liebherr Elektronik GmbH group, in collaboration with the Laplace laboratory, launched the study of a method allowing partial discharges detection in converters intended to be used in aeronautical applications. The results of this work are the subject of this thesis. The first part brings the status of the current knowledge about partial discharges from their physical nature to the detection methods which are used. In the second part, three measurement phases assessing the efficiency of the studied method are introduced and their results discussed. Finally, in the third part, the conclusionsof our works and their perspectives are presented.

Made available in DSpace on 2014-06-11T19:26:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2005-07-01Bitstream added on 2014-06-13T20:14:59Z : No. of bitstreams: 1 machado_fb_me_rcla.pdf: 4784777 bytes, checksum: 4e32e919d841aa28e910f8e2c2df689a (MD5) / Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) / A investigação petrográfica e geoquímica das rochas intrusivas associadas à Província Magmática do Paraná (PMP), na porção leste da Bacia do Paraná, no Estado de São Paulo, mostraram que as rochas estudadas são constituídas essencialmente por plagioclásio, augita, minerais opacos e pigeonita, caracterizando diabásio com texturas predominantemente intergranular, subofítica e ofítica. Dados geoquímicos indicaram que as rochas apresentam natureza básica, afinidade toleítica e podem ser classificadas como pertencentes ao grupo de alto titânio (ATi) da PMP. Além disso, as diferenças geoquímicas também indicam que as intrusivas pertencem aos subgrupos (magmas-tipo) Paranapanema (PAR) e Pitanga (PIT), sendo que a distribuição destes magmas pela área estudada não se faz ao acaso. O tipo PAR ocorre nos sills da região de Campinas, enquanto que PIT nas regiões de Cajuru, Leme, e Iracemápolis. Para comparação geoquímica, os derrames próximos também foram investigados, onde se observou que as amostras coletadas nas regiões de Franca, Igarapava e Rifaina em São Paulo, e São Sebastião do Paraíso, em Minas Gerais, são pertencentes ao magma-tipo Urubici (URU), já aquelas da região de Brotas e Ribeirão Preto são do tipo PIT. Contudo, as concentrações de ETRs, para as amostras representativas dos três magmas-tipo, mostraram que, embora as rochas intrusivas (PAR e PIT) e derrames (URU) possam ter uma mesma fonte mantélica, foram submetidas a processos de evolução magmática distintos. / Petrographic and geochemical investigations of the intrusive rocks related to the Magmatic Paraná Province (PMP), in the east portion of Paraná Basin, São Paulo State, have showed that the studied rocks are constituted mainly by plagioclase, augite, magnetite and pigeonite. That characterize intergranular, subophitic and ophitic diabases. Geochemical data have indicated that rocks are basic, with toleiitic affinity and can be included to the high titanium (HTi) of the PMP group. Moreover, the geochemical differences point out that the intrusive rocks belong to Paranapanema (PAR) and Pitanga (PIT) sub-groups (magmas-type), and the magma type distribution is well sectioned. The Paranapanema Magma type occurs like sills, in the neighborhood of Campinas, meanwhile Pitanga Type occurs in Cajuru, Leme, and Iracemápolis neighborhood. In order to compare, the nearby flows were also investigated, and was observed that samples collected in Franca, Rifaina e Igarapava in São Paulo, and São Sebastião do Paraíso, in Minas Gerais, neighborhoods belong to the Urubici magma-type (URU). Magmas from Brotas and Ribeirão Preto are PIT type. The concentrations of ETRs to the representative samples of three magmas-type have showed that intrusivas rocks (PAR and PIT) and lavas (URU) possibly were submitted to magmatic evolution different processes.

Master of Science / Geology / Matthew E. Brueseke / Previous K-Ar dating and petrography (Obradovich, 1978) have identified Pilot Knob as an ~3.4 (±0.06) Ma alkaline intrusive body. Bulk rock geochemistry obtained via XRF from four samples of Pilot Knob verifies the transitionally alkaline composition of the body, and new REE data also show enriched La, Ce, and Nd concentrations, consistent with rare earth element (REE) enrichment. Given the increased demand for REEs over the past ~30 years and China accounting for > 90% of global REE production (Kynicky, et al. 2012), it is important to evaluate new domestic REE sources. This includes those associated with alkaline intrusive complexes, because they are demonstrated to host high REE concentrations (Verplanck and Van Gosen, 2011). Such alkaline igneous occurrences show complex mineralization and consist of many minerals containing substitutional REEs (Mariano and Mariano, 2012). This study evaluates the petrogenesis and mineralogy of Pilot Knob (and a secondary field site, Wildcat Hill) and determines whether the intrusive body is consistent with an economically viable REE deposit. Additionally, given its geographic location and Pliocene faulting and magmatism (e.g., predating the earliest volcanism at Yellowstone), Pilot Knob may represent one of the earliest structural manifestations of the “arrival” of the Yellowstone hotspot at its current location under the North American lithosphere or magmatism associated with lithospheric extension to the south at the Leucite Hills, WY. Inspection of satellite imagery, which has been verified with field data, shows that other intrusive igneous bodies (e.g. - Wildcat Hill) exist, along an apparent normal fault zone along strike with a major extensionally related fault zone documented ~10 km northwest of Pilot Knob. Clinopyroxene geobarometry, coupled with Nd isotope data (εNd[subscript 3.5Ma] = -21.9), indicates that Pilot Knob formed via a multi-stage development history that initiated with melting of ancient lithospheric mantle, where crystallization occurred at a variety of depths. As an alkaline intrusive complex, Pilot Knob has been identified, based on mineral and chemical compositions, as a kersantite, and has been found to contain approximately 600 ppm total light-rare earth element ore lode with ~150 ppm Nd, ~175 ppm La, and ~338 ppm Ce enrichment. Apatite was found to be the primary REE-bearing mineral via petrography and electron microprobe analyses. Based on current technology and processing methods, REE concentrations were not found to be significant enough to denote an economically viable REE ore deposit at Pilot Knob.

Este trabalho apresenta uma ferramenta denominada FAGAC que se destina à administração e gerência de aglomerados de computadores, através de uma interface Web. A ferramenta tem a característica de ser pouco intrusiva no ambiente, ou seja, consumir poucos recursos computacionais a fim de não causar atrasos na execução dos serviços e processos do sistema. Inclui também funcionalidades que geram informações para o cliente ou administrador do sistema, a respeito do estado de ocupação de memória e de CPU, monitoramento do estado da carga de cada computador, tráfego gerado na rede, espaços em disco, informações de hardware e configurações do sistema. A validação da ferramenta foi feita por meio de experimentos comparativos das cinco principais funcionalidades comuns entre o FAGAC e o Ganglia, mostrando melhores resultados nas cinco funcionalidades, e que FAGAC é menos intrusivo que o Ganglia. / This research presents a tool named FAGAC for cluster management and administration of agglomerated of computers, through a web interface. This tool has the characteristic of being little intrusive in the environment, what means that it should consume a little computational resource in order to not delay the services and processes in execution at the system. The tool has functions to inform the customer or system administrator about the status of memory and CPU occupation, monitorating the load of each computer, the traffic generated in the net, disk space, hardware informations and configurations of the system. It was validated by comparing the results of the experiments from the main similar functions between FAGAC and Ganglia, showing best results for five functions tested, and that FAGAC is less intrusive than Ganglia.