Resúmenes de los Trabajos Finales de Graduación para Optar por el Título de Licenciatura en Bibliotecología y Documentación, 1998-1999

El objetivo de este Trabajo Final de Graduación fue formular una propuesta de diseño y construcción de una Intranet, que permita al Centro de Documentación "Alvaro Castro Jenkins" del Banco Central de Costa Rica, administrar los recursos, servicios, y productos de información de acceso confidencial, discrecional y restringido a los funcionarios del Banco, con una red privada de comunicaciones, basada en los protocolos TCP/IP y tecnologías de World Wide Web (WWW). La implementación de la Unidad de Información del OVSICORI se propuso a partir del diagnóstico de la infraestructura, de los recursos tecnológicos, recursos documentales, financieros, humanos y necesidades de los usuarios reales y potenciales. Este Trabajo Final de Graduación consistió en una investigación descriptiva en la que se realizó un diagnóstico de los servicios de información existentes en la Biblioteca Conjunta de la Corte Interamericana de Derechos Humanos y del Instituto Interamericano de Derechos Humanos, con el fin de analizar la pertinencia y utilidad de los mismos y proponer un programa de mejoramiento continuo para los servicios y productos existentes, así como el diseño de nuevos servicios y productos de información.

Avalição de desempenho de protocolos de autenticação para redes sem fio heterogêneas

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2016.

Model Probability in Self-organising Maps

Growing models have been widely used for clustering or topology learning. Traditionally these models work on stationary environments, grow incrementally and adapt their nodes to a given distribution based on global parameters. In this paper, we present an enhanced unsupervised self-organising network for the modelling of visual objects. We first develop a framework for building non-rigid shapes using the growth mechanism of the self-organising maps, and then we define an optimal number of nodes without overfitting or underfitting the network based on the knowledge obtained from information-theoretic considerations. We present experimental results for hands and we quantitatively evaluate the matching capabilities of the proposed method with the topographic product.

A GEOBIA methodology for fragmented agricultural landscapes

Very high resolution remotely sensed images are an important tool for monitoring fragmented agricultural landscapes, which allows farmers and policy makers to make better decisions regarding management practices. An object-based methodology is proposed for automatic generation of thematic maps of the available classes in the scene, which combines edge-based and superpixel processing for small agricultural parcels. The methodology employs superpixels instead of pixels as minimal processing units, and provides a link between them and meaningful objects (obtained by the edge-based method) in order to facilitate the analysis of parcels. Performance analysis on a scene dominated by agricultural small parcels indicates that the combination of both superpixel and edge-based methods achieves a classification accuracy slightly better than when those methods are performed separately and comparable to the accuracy of traditional object-based analysis, with automatic approach.

Estudio y optimización de las infraestructuras de los carriles para bicicletas

La necesidad cotidiana de los ciudadanos de desplazarse para realizar diferentes actividades, sea cual fuere su naturaleza, se ha visto afectada en gran medida por los cambios producidos. Las ventajas generadas por la inclusión de la bicicleta como modo de transporte y la proliferación de su uso entre la ciudadanía son innumerables y se extienden tanto en el ámbito de la movilidad urbana como del desarrollo sostenible. En la actualidad, hay multitud de programas para la implantación, fomento o aumento de la participación ciudadana relacionado con la bicicleta en las ciudades. Pero en definitiva, todos y cada uno de estas iniciativas tienen la misma finalidad, crear una malla de vías cicladles eficaz y útil. Capaces de permitir el uso de la bicicleta en vías preferentes con unas garantías de seguridad altas, incorporando la bicicleta en el modelo de intermodalidad del transporte urbano. Con la progresiva implantación del carril bici, muchas personas han empezado a utilizarlas para moverse por la ciudad. Pero todo lo nuevo necesita un periodo de adaptación. Y, la realidad es que la red de viales destinados para estos vehículos está repleta de obstáculos para el ciclista. La actual situación ha llevado a cuestionar qué cantidad de kilómetros de carriles bici son necesarios para abastecer la demanda existente de este modo de transporte y, si las obras ejecutadas y proyectadas son las correctas y suficientes. En este trabajo se presenta una herramienta, basada en un modelo de programación matemática, para el diseño óptimo de una red destinada a los ciclistas. En concreto, el sistema determina una infraestructura para la bicicleta adaptada a las características de la red de carreteras existentes, con base en criterios de teoría de grafos ponderados. Como una aplicación del modelo propuesto, se ofrece el resultado de estos experimentos, obteniéndose un número de conclusiones útiles para la planificación y el diseño de redes de carriles bici desde una perspectiva social. Se realiza una aplicación de la metodología desarrollada para el caso real del municipio de Málaga (España). Por último se produce la validación del modelo de optimización presentado y la repercusión que tiene éste sobre el resultado final y la importancia o el peso del total de variables capaces de condicionar el resultado final de la red ciclista. Se obtiene, por tanto, una herramienta destinada a la mejora de la planificación, diseño y gestión de las diferentes infraestructuras para la bicicleta, con capacidad de interactuar con el modelo de red vial actual y con el resto de los modos de transportes existentes en el entramado urbano de las ciudades.

Arquitetura de rede com suporte à mobilidade de fluxo IP e ao gerenciamento de Mobilidade Distribuído (DMM)

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2016.

Processo de Implementação do Modelo eTOM em Empresas de Telecomunicações

Nos últimos anos, a satisfação do cliente tornou-se um dos fatores críticos de sucesso de maior importância dentro das organizações. Este sucesso está diretamente ligado à lealdade dos clientes com as organizações, que resulta numa continuidade do negócio. Esta lealdade é obtida através da implementação de processos de negócio que permitam uma melhor resposta às necessidades do cliente bem como uma qualidade de serviço superior que permita obter resultados positivos no mercado da concorrência. Através da visão geral de uma metodologia virada para as empresas de telecomunicação, o eTOM (Enhanced Telecom Operations Map), demonstrou-se a importância das empresas de telecomunicação possuírem um modelo de processos de negócio que disponibilize uma linguagem dentro da organização, de modo a permitir agilizar os processo internos e os processos de interação com as partes envolvidas na value network. Tendo como base a metodologia Design Science Research, procedeu-se a criação de um conjunto de cenários de interação com o cliente, onde foram apresentadas soluções práticas na aplicação da framework eTOM. Com isto, foi demonstrada as capacidades do eTOM na implementação de processos, bem como na flexibilidade como estes poderão ser implementados. Partindo dos processos disponibilizados pela framework e com base no contexto e características da organização, foram identificados os processos que, do nosso ponto de vista, são os mais indicados para criação dos processos core da organização.

Desenvolvimento de sistemas embarcados para redes de sensores e atuadores sem fio aplicadas em unidades de elevação de petróleo do tipo Plunger-Lift

The Wireless Sensor Networks (WSN) methods applied to the lifting of oil present as an area with growing demand technical and scientific in view of the optimizations that can be carried forward with existing processes. This dissertation has as main objective to present the development of embedded systems dedicated to a wireless sensor network based on IEEE 802.15.4, which applies the ZigBee protocol, between sensors, actuators and the PLC (Programmable Logic Controller), aiming to solve the present problems in the deployment and maintenance of the physical communication of current elevation oil units based on the method Plunger-Lift. Embedded systems developed for this application will be responsible for acquiring information from sensors and control actuators of the devices present at the well, and also, using the Modbus protocol to make this network becomes transparent to the PLC responsible for controlling the production and delivery information for supervisory SISAL

Functional, clustered, feedforward, and mesoscale brain networks

The brain is a network spanning multiple scales from subcellular to macroscopic. In this thesis I present four projects studying brain networks at different levels of abstraction. The first involves determining a functional connectivity network based on neural spike trains and using a graph theoretical method to cluster groups of neurons into putative cell assemblies. In the second project I model neural networks at a microscopic level. Using diferent clustered wiring schemes, I show that almost identical spatiotemporal activity patterns can be observed, demonstrating that there is a broad neuro-architectural basis to attain structured spatiotemporal dynamics. Remarkably, irrespective of the precise topological mechanism, this behavior can be predicted by examining the spectral properties of the synaptic weight matrix. The third project introduces, via two circuit architectures, a new paradigm for feedforward processing in which inhibitory neurons have the complex and pivotal role in governing information flow in cortical network models. Finally, I analyze axonal projections in sleep deprived mice using data collected as part of the Allen Institute's Mesoscopic Connectivity Atlas. After normalizing for experimental variability, the results indicate there is no single explanatory difference in the mesoscale network between control and sleep deprived mice. Using machine learning techniques, however, animal classification could be done at levels significantly above chance. This reveals that intricate changes in connectivity do occur due to chronic sleep deprivation.

Who will answer my question on Stack Overflow?

Stack Overflow is a highly successful Community Question Answering (CQA) service for software developers with more than three millions users and more than ten thousand posts per day. The large volume of questions makes it difficult for users to find questions that they are interested in answering. In this paper, we propose a number of approaches to predict who will answer a new question using the characteristics of the question (i.e. Topic) and users (i.e. Reputation), and the social network of Stack Overflow users (i.e. Interested in the same topic). Specifically, our approach aims to identify a group of users (candidates) who have the potential to answer a new question by using feature-based prediction approach and social network based prediction approach. We develop predictive models to predict whether an identified candidate answers a new question. This prediction helps motivate the knowledge exchanging in the community by routing relevant questions to potential answerers. The evaluation results demonstrate the effectiveness of our predictive models, achieving 44% precision, 59% recall, and 49% F-measure (average across all test sets). In addition, our candidate identification techniques can identify the answerers who actually answer questions up to 12.8% (average across all test sets).

Emergent behaviour: learning from an artificially intelligent performing software agent

This research investigates the possibility for emergent choreographic behaviour to arise from the interactions between a human dancer and a learning, digital performing agent. The cognitive framework is extended through theories of distributed cognition to take into account the two interacting agents rather than a single agent and its environment. The Artificial Neural Network based performing agent demonstrated emergent dance behaviour when performing live with the human dancer. The agent was able to follow the dancer, create movement phrases based on what the dancer was performing and recognize short movement phrases, as a result of the interaction of the dancer’s motion captured movement data and the agent’s artificial neural network. This emergent behaviour was not explicitly programmed, but emerged as a result of the learning process and the interactions with the human dancer.

An efficient MAC protocol with adaptive energy harvesting for machine-to-machine networks

In a machine-to-machine network, the throughput performance plays a very important role. Recently, an attractive energy harvesting technology has shown great potential to the improvement of the network throughput, as it can provide consistent energy for wireless devices to transmit data. Motivated by that, an efficient energy harvesting-based medium access control (MAC) protocol is designed in this paper. In this protocol, different devices first harvest energy adaptively and then contend the transmission opportunities with energy level related priorities. Then, a new model is proposed to obtain the optimal throughput of the network, together with the corresponding hybrid differential evolution algorithm, where the involved variables are energy-harvesting time, contending time, and contending probability. Analytical and simulation results show that the network based on the proposed MAC protocol has greater throughput than that of the traditional methods. In addition, as expected, our scheme has less transmission delay, further enhancing its superiority.

Probabilistic assessment of fill slope stability

Conventional slope stability analyses have commonly been based on a deterministic approach. Various deterministic-based analysis methods developed to date can assess the stability of a given slope using the factor of safety. However, it has been strongly debated that the use of only the factor of safety does not explicitly account for the uncertainties in soil parameters. In light of this, this paper uses the finite element limit analysis methods and conducts a probabilistic-based analysis of fill slope for the specific case of two-layered undrained clay. Results obtained show that slopes with large variations in soil properties may present an extremely high risk of a slope failure and this cannot be known if only a deterministic-based analysis is performed. Thus, this shows that more soil investigations can be performed to reduce the variation of the soil properties thereby reducing the risk of a slope failure. Different probabilistic charts based on different coefficients of variation in soil properties are provided in this paper. This study demonstrates that the finite element limit analysis methods can be applied in a probabilistic analysis.

Ressocialização e reinserção social de adolescentes : estudo de caso em uma unidade de atendimento socioeducativo do distrito federal

Dissertação apresentada para obtenção do grau de mestre em Educação Social e Intervenção Comunitária da Escola Superior de Educação do Instituto Politécnico de Santarém.

Ressocialização e reinserção social de adolescentes : estudo de caso em uma unidade de atendimento socioeducativo do distrito federal

Dissertação apresentada para obtenção do grau de mestre em Educação Social e Intervenção Comunitária da Escola Superior de Educação do Instituto Politécnico de Santarém.