Projeto, implementação e análise de um conversor CC-CC de alto ganho e alto rendimento para aplicações fotovoltaicas

In recent years the photovoltaic generation has had greater insertion in the energy mix of the most developed countries, growing at annual rates of over 30%. The pressure for the reduction of pollutant emissions, diversification of the energy mix and the drop in prices are the main factors driving this growth. Grid tied systems plays an important role in alleviating the energy crisis and diversification of energy sources. Among the grid tied systems, building integrated photovoltaic systems suffers from partial shading of the photovoltaic modules and consequently the energy yield is reduced. In such cases, classical forms of modules connection do not produce good results and new techniques have been developed to increase the amount of energy produced by a set of modules. In the parallel connection technique of photovoltaic modules, a high voltage gain DC-DC converter is required, which is relatively complex to build with high efficiency. The current-fed isolated converters explored in this work have some desirable characteristics for this type of application, such as: low input current ripple and input voltage ripple, high voltage gain, galvanic isolation, feature high power capacity and it achieve soft switching in a wide operating range. This study presents contributions to the study of a high gain and high efficiency DC-DC converter for use in a parallel system of photovoltaic generation, being possible the use in a microinverter or with central inverter. The main contributions of this work are: analysis of the active clamping circuit operation proposing that the clamp capacitor connection must be done on the negative node of the power supply to reduce the input current ripple and thus reduce the filter requirements; use of a voltage doubler in the output rectifier to reduce the number of components and to extend the gain of the converter; detailed study of the converter components in order to raise the efficiency; obtaining the AC equivalent model and control system design. As a result, a DC-DC converter with high gain, high efficiency and without electrolytic capacitors in the power stage was developed. In the final part of this work the DC-DC converter operation connected to an inverter is presented. Besides, the DC bus controller is designed and are implemented two maximum power point tracking algorithms. Experimental results of full system operation connected to an emulator and subsequently to a real photovoltaic module are also given.

Um modelo para aferir o nível de maturidade na adoção de SOA

Tese (doutorado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2015.

Tutoria da anatomia mamária feminina utilizando uma rede neural artificial interactive activation and competition orientada a serviço

Dissertação (mestrado)—Universidade de Brasília, Faculdade Gama, Programa de Pós-Graduação em Engenharia Biomédica, 2015.

Trace Oblivious Program Execution

The big data era has dramatically transformed our lives; however, security incidents such as data breaches can put sensitive data (e.g. photos, identities, genomes) at risk. To protect users' data privacy, there is a growing interest in building secure cloud computing systems, which keep sensitive data inputs hidden, even from computation providers. Conceptually, secure cloud computing systems leverage cryptographic techniques (e.g., secure multiparty computation) and trusted hardware (e.g. secure processors) to instantiate a “secure” abstract machine consisting of a CPU and encrypted memory, so that an adversary cannot learn information through either the computation within the CPU or the data in the memory. Unfortunately, evidence has shown that side channels (e.g. memory accesses, timing, and termination) in such a “secure” abstract machine may potentially leak highly sensitive information, including cryptographic keys that form the root of trust for the secure systems. This thesis broadly expands the investigation of a research direction called trace oblivious computation, where programming language techniques are employed to prevent side channel information leakage. We demonstrate the feasibility of trace oblivious computation, by formalizing and building several systems, including GhostRider, which is a hardware-software co-design to provide a hardware-based trace oblivious computing solution, SCVM, which is an automatic RAM-model secure computation system, and ObliVM, which is a programming framework to facilitate programmers to develop applications. All of these systems enjoy formal security guarantees while demonstrating a better performance than prior systems, by one to several orders of magnitude.

Collaborative Management of Intermodal Mobility

Part 21: Mobility and Logistics

Design of bicycling suitability maps for hilly cities

Post-print version. Pictures and tables separated from main text and presented at the end.

Leakage Temperature Dependency Aware Real-Time Scheduling for Power and Thermal Optimization

Catering to society’s demand for high performance computing, billions of transistors are now integrated on IC chips to deliver unprecedented performances. With increasing transistor density, the power consumption/density is growing exponentially. The increasing power consumption directly translates to the high chip temperature, which not only raises the packaging/cooling costs, but also degrades the performance/reliability and life span of the computing systems. Moreover, high chip temperature also greatly increases the leakage power consumption, which is becoming more and more significant with the continuous scaling of the transistor size. As the semiconductor industry continues to evolve, power and thermal challenges have become the most critical challenges in the design of new generations of computing systems. In this dissertation, we addressed the power/thermal issues from the system-level perspective. Specifically, we sought to employ real-time scheduling methods to optimize the power/thermal efficiency of the real-time computing systems, with leakage/ temperature dependency taken into consideration. In our research, we first explored the fundamental principles on how to employ dynamic voltage scaling (DVS) techniques to reduce the peak operating temperature when running a real-time application on a single core platform. We further proposed a novel real-time scheduling method, “M-Oscillations” to reduce the peak temperature when scheduling a hard real-time periodic task set. We also developed three checking methods to guarantee the feasibility of a periodic real-time schedule under peak temperature constraint. We further extended our research from single core platform to multi-core platform. We investigated the energy estimation problem on the multi-core platforms and developed a light weight and accurate method to calculate the energy consumption for a given voltage schedule on a multi-core platform. Finally, we concluded the dissertation with elaborated discussions of future extensions of our research.

Baran: an interaction-centred user monitoring framework

User Quality of Experience (QoE) is a subjective entity and difficult to measure. One important aspect of it, User Experience (UX), corresponds to the sensory and emotional state of a user. For a user interacting through a User Interface (UI), precise information on how they are using the UI can contribute to understanding their UX, and thereby understanding their QoE. As well as a user’s use of the UI such as clicking, scrolling, touching, or selecting, other real-time digital information about the user such as from smart phone sensors (e.g. accelerometer, light level) and physiological sensors (e.g. heart rate, ECG, EEG) could contribute to understanding UX. Baran is a framework that is designed to capture, record, manage and analyse the User Digital Imprint (UDI) which, is the data structure containing all user context information. Baran simplifies the process of collecting experimental information in Human and Computer Interaction (HCI) studies, by recording comprehensive real-time data for any UI experiment, and making the data available as a standard UDI data structure. This paper presents an overview of the Baran framework, and provides an example of its use to record user interaction and perform some basic analysis of the interaction.

Practical, appropriate, empirically-validated guidelines for designing educational games

There has recently been a great deal of interest in the potential of computer games to function as innovative educational tools. However, there is very little evidence of games fulfilling that potential. Indeed, the process of merging the disparate goals of education and games design appears problematic, and there are currently no practical guidelines for how to do so in a coherent manner. In this paper, we describe the successful, empirically validated teaching methods developed by behavioural psychologists and point out how they are uniquely suited to take advantage of the benefits that games offer to education. We conclude by proposing some practical steps for designing educational games, based on the techniques of Applied Behaviour Analysis. It is intended that this paper can both focus educational games designers on the features of games that are genuinely useful for education, and also introduce a successful form of teaching that this audience may not yet be familiar with.

EL PROCESO DE URBANIZACION EN LA PERIFERIA DEL AREA METROPOLITANA: LOS CASOS DE TURRUCARES Y MONTE DE LA CRUZ

Este avance de investigación pretende ofrecer una visión preliminar de un fenómeno bastante reciente que se está dando en Costa Rica y particularmente en el Valle Central: la urbanización del espacio agrícola. Este proceso se está desarrollando más allá del espacio suburbano y presenta una especialidad diferente, ya que aquí la organización social campesina y las actividades agropecuarias siguen siendo predominantes. Sin embargo, esta extremadamente vinculado con el proceso de metropolizacion que surge en el país. Se está asistiendo, pues, a una reubicación de los espacios residenciales de las clases de mejores ingresos, las cuales influenciadas tal vez por un modelo ideológico importado, buscan poder disfrutar de las ventajas que ofrece el espacio rural pero con la posibilidad de seguir trabajando en la ciudad y seguir gozando de los servicios urbanos. La  rural-urbanización dentro de una estrategia global de estructuración del espacio puede ser considerada como un mecanismo de selección y una apropiación de los mejores lugares donde se dará la futura de expansión urbana. Desde esta perspectiva, resulta interesante llamar la atención de cómo ciertos sectores sociales están proyectando desde ahora la futura expansión del espacio metropolitano.   SUMMARY This preliminary investigative report presents a viewpoint about a very recent phenomenon that is occurring in Costa Rica and especially in the Central Valley: the urbanization of the agrarian space. This process is developing beyond the suburban areas and presents a different spacial structure because in these areas, the rural social structures and the livestock and agricultural activities are still predominant. Nevertheless, such activities are very much related to the urbanization process occurring in the country. As such, we are witnessing a reubication of the residential structure of the high-income classes, of which, influenced perhaps by an improved idiologic model, hope to enjoy the advantages offered by a rural area but also taking advantage of the convenience offered by the urban benefits; plus the opportunity to keep working in the city. The process of rural urbanization conceived in a global strategy of spatial structures, can be considered as a selection and appropriation mechanism of the best areas for the future urban expansion. From this perspective, it is interesting to call attention to the process by which certain social sectors are now projecting the future organization of the metropolitan area.  In reference to the real-estate capital invested in the study areas, and specifically to Costa Rica capital, this investment in the promotion of real-estate, acts as a shelter sector, by changing the course of direction of the capital accumulated in the other economic sectors, especially considering that the real-estate sector insures more secure profits in spite of the relatively insignificant recuperation rate of the capital investment comparison to the industrial sector, where more capital risks occur, above all during an economic crisis.  At present, the zones influenced by rural urbanization are affected by a modification in their productive structure, in other words, what were once agricultural zones, are now converted to residential zones. This produces spectacular changes in the composition of the work force by producing service-oriented employment that leads to the following abandonment of the agricultural activities.  From a social point of view, this rural urbanization pattern provokes a marked spatial segregation, in which an exclusive high income social group with a particularly consuming life style is noted at one level, and on the other, social groups that inhered patterns of rural life with more traditional lifestyles. In reference to the community level in the study areas, localized conflicts have emerged between local people and the new residents. These conflicts are highly conditioned by the insertion in the communities of these new residents.       RESUME   Ce document préliminaire décrit un phénomène assez récent au Costa Rica, qui affecte plus particulièrement la « Vallée Centrale ». il s’agit de l’urbanisation de l’espace agricole.  Ce sont des espaces franchement ruraux, bien au-delà des banlieues, qui sont affectés par ce processus qui, en conséquence, montre des caractères différents: comme se maintien de la organisation social liée aux activités agricoles; en face l’infiltration d’un autre mode de vie dû à sa transformation en espace résidentiel pour classes aux revenus élevés qui, peut-être, influencées par un modèle culturel importé, préfèrent une localisation qui puisée leus offrir à  la fois les avantages de vivre dans un espace rural avec ceux de la ville, lieu de travail suffisamment proche dont elles continuent à pouvoir utiliser ses services. Ce modèle culturel doit être considère en fonction du processus de métropolitain apparu dan le pays. L’urbanisation de l’espace rural, dans une stratégie globale de structuration de l’espace peut se considérer comme un mécanisme de sélection et d’appropriation des meilleurs sites de l’expansion urbaine future.  Dans cette perspective, il est intéressant de constater qu’il existe déjà, de la part certains secteurs sociaux, un projet d’organisation de l’espace métropolitain futur. Le foncier est considéré comme un secteur refuge pour les capitaux nationaux d’où l’intérêt de la spéculation pour ces zones. En effet, ce placement, plus sûr, malgré un plus faible taux de récupération du capital, est préfère à d’ autres- comme l’investissement industriel- plus rentables, mais plus risqués, surtout en temps de crise. L’urbanisation de l’espace rural s’accompagne d’une modification des structures productives : moins d’agriculture et évolution de l’emploi vers le tertiaire liée à la présence de nouveaux résidents. Du point de vue social, cette situation se traduit par une très nette ségrégation spatiale. D’un côte, un group socio-économique aux revenus élèves représentant  la société de consommation ; de l’autre, les ruraux au style de vie plus traditionnel. Il en résulte une certaine tension entre les deux groupes.

Data-stream driven Fuzzy-granular approaches for system maintenance

Intelligent systems are currently inherent to the society, supporting a synergistic human-machine collaboration. Beyond economical and climate factors, energy consumption is strongly affected by the performance of computing systems. The quality of software functioning may invalidate any improvement attempt. In addition, data-driven machine learning algorithms are the basis for human-centered applications, being their interpretability one of the most important features of computational systems. Software maintenance is a critical discipline to support automatic and life-long system operation. As most software registers its inner events by means of logs, log analysis is an approach to keep system operation. Logs are characterized as Big data assembled in large-flow streams, being unstructured, heterogeneous, imprecise, and uncertain. This thesis addresses fuzzy and neuro-granular methods to provide maintenance solutions applied to anomaly detection (AD) and log parsing (LP), dealing with data uncertainty, identifying ideal time periods for detailed software analyses. LP provides deeper semantics interpretation of the anomalous occurrences. The solutions evolve over time and are general-purpose, being highly applicable, scalable, and maintainable. Granular classification models, namely, Fuzzy set-Based evolving Model (FBeM), evolving Granular Neural Network (eGNN), and evolving Gaussian Fuzzy Classifier (eGFC), are compared considering the AD problem. The evolving Log Parsing (eLP) method is proposed to approach the automatic parsing applied to system logs. All the methods perform recursive mechanisms to create, update, merge, and delete information granules according with the data behavior. For the first time in the evolving intelligent systems literature, the proposed method, eLP, is able to process streams of words and sentences. Essentially, regarding to AD accuracy, FBeM achieved (85.64+-3.69)%; eGNN reached (96.17+-0.78)%; eGFC obtained (92.48+-1.21)%; and eLP reached (96.05+-1.04)%. Besides being competitive, eLP particularly generates a log grammar, and presents a higher level of model interpretability.

Analisi di log files prodotti dal sistema StoRM usato dall’esperimento ATLAS attraverso algoritmi di clustering

L'esperimento ATLAS, come gli altri esperimenti che operano al Large Hadron Collider, produce Petabytes di dati ogni anno, che devono poi essere archiviati ed elaborati. Inoltre gli esperimenti si sono proposti di rendere accessibili questi dati in tutto il mondo. In risposta a questi bisogni è stato progettato il Worldwide LHC Computing Grid che combina la potenza di calcolo e le capacità di archiviazione di più di 170 siti sparsi in tutto il mondo. Nella maggior parte dei siti del WLCG sono state sviluppate tecnologie per la gestione dello storage, che si occupano anche della gestione delle richieste da parte degli utenti e del trasferimento dei dati. Questi sistemi registrano le proprie attività in logfiles, ricchi di informazioni utili agli operatori per individuare un problema in caso di malfunzionamento del sistema. In previsione di un maggiore flusso di dati nei prossimi anni si sta lavorando per rendere questi siti ancora più affidabili e uno dei possibili modi per farlo è lo sviluppo di un sistema in grado di analizzare i file di log autonomamente e individuare le anomalie che preannunciano un malfunzionamento. Per arrivare a realizzare questo sistema si deve prima individuare il metodo più adatto per l'analisi dei file di log. In questa tesi viene studiato un approccio al problema che utilizza l'intelligenza artificiale per analizzare i logfiles, più nello specifico viene studiato l'approccio che utilizza dell'algoritmo di clustering K-means.

Agents and the Grid: Service Discovery

The Grid is a large-scale computer system that is capable of coordinating resources that are not subject to centralised control, whilst using standard, open, general-purpose protocols and interfaces, and delivering non-trivial qualities of service. In this chapter, we argue that Grid applications very strongly suggest the use of agent-based computing, and we review key uses of agent technologies in Grids: user agents, able to customize and personalise data; agent communication languages offering a generic and portable communication medium; and negotiation allowing multiple distributed entities to reach service level agreements. In the second part of the chapter, we focus on Grid service discovery, which we have identified as a prime candidate for use of agent technologies: we show that Grid-services need to be located via personalised, semantic-rich discovery processes, which must rely on the storage of arbitrary metadata about services that originates from both service providers and service users. We present UDDI-MT, an extension to the standard UDDI service directory approach that supports the storage of such metadata via a tunnelling technique that ties the metadata store to the original UDDI directory. The outcome is a flexible service registry which is compatible with existing standards and also provides metadata-enhanced service discovery.