Teses em Engenharia Elétrica (Doutorado) - PPGEE/ITEC

URI Permanente para esta coleçãohttps://repositorio.ufpa.br/handle/2011/2317

O Doutorado Acadêmico inicio-se em 1998 e pertence ao Programa de Pós-Graduação em Engenharia Elétrica (PPGEE) do Instituto de Tecnologia (ITEC) da Universidade Federal do Pará (UFPA).

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Agora exibindo 1 - 18 de 18

Acesso aberto (Open Access)
Aplicação de fanets e ca-markov para captura de imagens para o estudo de uso e cobertura da terra em projetos de assentamentos na amazônia
(Universidade Federal do Pará, 2019-12-06) SOUZA, Jorge Antonio Moraes de; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
Projetos de assentamentos de reforma agrária são uma das medidas adotadas pelo governo na tentativa de criar um relacionamento sustentável com a natureza. Como a área de assentamentos cobre mais de 77.483.317,86 hectares da Amazônia Legal, é essencial compreender as causas da degradação ambiental desses espaços. Isto posto, foram utilizados, de forma combinada, cadeias de Markov e autômatos celulares (CA-Markov) para, a partir de duas imagens classificadas, prever cenários de mudanças no uso e cobertura da terra (LULC). Esta tese apresenta uma metodologia inovadora que difere daquelas usualmente utilizadas em CA-Markov, pois os aspectos de tempo e espaço são observados pela cadeia de Markov e servem como base para a função de transição do autômato celular (CA). A metodologia também contempla a aquisição de imagens, nesse sentido, como a região de interesse permanece, em boa parte do ano, com uma cobertura de nuvens significativa, a obtenção de imagens por sensores ópticos, fica prejudicada, por conta disso, foi imperativa a busca por uma alternativa. As Flying Ad-hoc Networks (FANETs) podem ser utilizadas para complementar informações da região de estudo, capturando imagens de alta qualidade, sem o inconveniente das nuvens. Por outro lado, os nós da rede precisam manter, pelo maior tempo possível, a conexão entre eles, o que é dificultado pela mobilidade e autonomia de voo dos drones. Por esse motivo, é imprescindível a utilização de um protocolo de roteamento que seja capaz de adaptar-se à dinâmica da rede. Além disso, também foi desenvolvido um algoritmo de roteamento baseado em sistema Fuzzy. Testes e simulações foram realizadas com o intuito de validar tanto a metodologia geral MAPS, quanto o protocolo de roteamento.
Acesso aberto (Open Access)
Desenvolvimento e avaliacao empirica de um simulador educacional para o apoio ao ensino de ECG, baseado na orientacão espacial do coração.
(Universidade Federal do Pará, 2018-09-21) PONTES, Paulo André Ignácio; SERUFFO, Marcos Cesar da Rocha; http://lattes.cnpq.br/3794198610723464; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The electrocardiogram (ECG) is one of the most commonly used diagnostic procedures in medicine, so it is essential that undergraduate medical students learn to interpret it correctly while they are still in training. Of course, students go through classical learning (ex: lectures and lectures). However, they are generally not efficiently trained in ECG interpretation. In this regard, educational support methodologies and tools in medical practice, such as educational software, should be considered as a valuable approach for medical training purposes. This thesis deals with the development of a simulator (VETOECG) that allows experiential teaching, so that students can relate to projections of the cardiac electrical vectors, through the manipulation of the spatial orientation of the heart and the repercussions in their respective waves in the ECG. In addition, this thesis reports a formal experiment (pre / posttest with a randomized control group) to evaluate empirically the learning effetiveness of the tool and analyzes the subjective factors of students' perception regarding motivation, user experience and collected through questionnaires. The results indicated that the simulator has positive learning efficacy compared to traditional methodologies (statistically significant difference, p-value <0.0001 *, median of 38.5 points and interquartile range 23.1 to 46.2 points) used for learning in the proposed study. It can be verified that the simulator is adequate in the most diverse dimensions, since they were evaluated positively: in terms of motivation (88.15%), user experience (76%) and learning (96.5%).
Acesso aberto (Open Access)
Detecção de danos em superfícies geotécnicas com redes neurais convolucionais de baixa complexidade
(Universidade Federal do Pará, 2024-05-29) ARAÚJO, Thabatta Moreira Alves de; FRANCÊS, Carlos Renato Lisboa; ttp://lattes.cnpq.br/7458287841862567
Most natural disasters result from geodynamic events, such as landslides and collapse of geotechnical structures. These failures are catastrophic that directly impact the environment and cause financial and human losses. Visual inspection is the main method for detecting surface flaws in geotechnical structures. However, visits to the site can be risky due to the possibility of soil’s instability. Furthermore, the terrain design, hostile environment and remote installation conditions make access to these structures impractical. When a quick and safe assessment is necessary, computer vision analysis becomes a potential alternative. However, studies on computer vision techniques still need to be explored in this field due to the particularities of geotechnical engineering, such as limited, redundant and scarce public data sets. In this context, this thesis presents a redes neurais convolucionais, do inglês Convolutional Neural Network (CNN) approach for identifying defects on the surface of geotechnical structures to reduce dependence on human-led on-site inspections. To this end, images of surface failure indicators were collected on slopes on the banks of a Brazilian highway, with the help of UAVs and mobile devices. Next, low-complexity CNN architectures were explored to build a binary classifier capable of detecting flaws apparent to the naked human eye in images. The architecture composed of three convolutional layers, each with 32 filters, followed by two fully connected layers, each composed of 128 neurons and output with one neuron, showed an accuracy of 94.26%. The performance evaluation of the model with the test set obtained AUC metrics of 0.99, confusion matrix, and a AUPRC curve that indicates robust performance of the classifier in detecting damage, while maintaining a low computational complexity, making it suitable for applications field practices. The contributions of the thesis include the provision of an image database, the obtaining of a classification model suitable for scarce data and limited computational resources, and the exploration of strategies for remote inspection and detection of signs of failure in geotechnical structures.
Acesso aberto (Open Access)
Estratégia de otimização para a melhoria da interpretabilidade de redes bayesianas: aplicações em sistemas elétricos de potência
(Universidade Federal do Pará, 2009-12-10) ROCHA, Cláudio Alex Jorge da; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The study of methods, techniques and tools that can aid the decision processes in power systems, in its many sections, is a subject of great interest. This decision support can be accomplished through many different techniques, particularly those based on computational intelligence, given their applicability on domains with uncertainty. In this proposal, Bayesian networks are used for the extraction of knowledge models from the available data on power systems. Moreover, given the demands of these systems and some limitations imposed to the inferences in Bayesian networks, a method is proposed, using genetic algorithms, capable of extending the power of comprehensibility of the patterns discovered; it aims at finding the optimal scenario in order to attain a given target, considering the incorporation of a priori knowledge from domain specialists, identifying the most influent variables in the domain for the maximization of the target variable.
Acesso aberto (Open Access)
Estratégia de planejamento de redes de acesso de alta capilaridade baseada em tecnologia DSL: uma abordagem híbrida empírica e probabilística
(Universidade Federal do Pará, 2010-03-26) CARDOSO, Diego Lisboa; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
Recently, the Next Generation Network (NGN) have emerged as a viable alternative to merge the data, voice and video transmission over a single network, while maintaining reasonable standards for quality of service. However, despite the improvements brought by the NGN philosophy, many developing countries lack the infrastructure necessary to implement such technology. In this context, technologies such as DSL (Digital Subscriber Line) allows universal access to broadband, with reduced cost and time, when compared to others access networks. In many third world countries, DSL can be considered a broadband network of high capillarity, since it uses a combination of the existing telephony infrastructure and transmission technologies However, the DSL network needs to be widely understood, so that its main advantages are not outweighed by the inefficiency of the system. Therefore, the implementation of a planning policy to aid in this process, taking into account the current needs of applications (voice, video and data) is of major importance. This thesis presents an approach based on strategies to facilitate the planning of communication networks which, a priori, were not implemented to support triple play streams (a prerequisite, nowadays, for the current profile of Internet users). It will be shown that, from the use of actual measurements and probabilistic analysis, it is possible to enable the planning of communication networks, considering physical and software parameters, such as the transmission path, the influence of noise in the communication, the protocols used, and traffic of Triple Play (voice, video and data) applications.
Acesso aberto (Open Access)
Estratégia de planejamento e otimização do handover em redes móveis densificadas
(Universidade Federal do Pará, 2018-06-29) SILVA, Ketyllen da Costa; ARAÚJO, Jasmine Priscyla Leite de; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The increase in mobile devices and applications in recent years has led to an overload of the network infrastructure responsible for disposing this traffic, thus affecting the performance of the network as the user experience.Heterogeneous mobile networks are already a reality and their densification has been put forward as one of the suggested solutions to meet the expected demands for 5th generation (5G) mobile networks. However, in the current networks, it is still common for fixed parameters to be used for the configuration of the network although this strategy does not always prove to be efficient. It is within this context that the concept of selforganizing networks (SONs) has been established, in which several network parameters are automatically adjusted on the basis of measurements and intelligent systems in real time. This thesis presents a strategy to optimize the handover in LTE networks with dense small cells. Based on measurements and fuzzy logic new algorithms are proposed for self-tuning network parameters. From discrete simulation using MATLAB, the results are evaluated and presented through the main performance metrics of handover.
Acesso aberto (Open Access)
Estratégia do planejamento e otimização de sistemas sem fio, considerando redes interferentes: abordagem baseada em cross-layer
(Universidade Federal do Pará, 2011-06-30) ARAÚJO, Jasmine Priscyla Leite de; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
In spite of the significant increase of the use of Wireless Local Area Network (WLAN) experienced in the last years, design aspects and capacity planning are still systematically neglected during the network implementation. Typically, a wireless local area network is designed and installed by networking professionals. These individuals are familiar with wired networks, but are often unfamiliar with wireless networks. Thus, wireless local area networks installations are prejudiced by the lack of an accurate performance evaluation model and to determine the location of the access point (AP), besides important factors of the environment are not considered in the project. These factors become more important when several APs are installed, sometimes without a frequency planning, to cover a unique building. Faults such as these can cause interference among cells generated by each PA. Therefore, the network will not obtain the QoS patterns required for each service. The present work provides a planning proposal to wireless networks regarding the influence of interference using computational intelligence just as Bayesian Networks. An extensive measurement campaign was done to evaluate the performance of two access points (PAs) under a multi user and interference scenarios. The data collected in the measurement campaign was used as input of the Bayesian networks and confirmed the influence of the interference in the QoS parameters. A genetic algorithm technique was used as a hybrid approach to wireless planning. Another technique, called particle swarm optimization (PSO) was used to compare the optimizations results from the QoS parameters to find the best distance from the AP to the receiver to guarantee the QoS ITU-T recommendations.
Acesso aberto (Open Access)
Estratégia para análise da concentração de infraestrutura de acesso às tecnologias da informação e comunicação nos municípios da Amazônia legal Brasileira
(Universidade Federal do Pará, 2016-03-31) BRITO, Silvana Rossy de; COSTA, João Crisóstomo Weyl Albuquerque; http://lattes.cnpq.br/9622051867672434; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
Access to information is a fundamental right in democratic societies, essential for economic development, social equality, improvement of social, health care, education services and governance. This study is situated on the Concentration of Access to Information and Communication Technologies (ICT) in the municipalities of the Brazilian Legal Amazon. For this, we developed the conceptual model from which we identify the main variables of ICT infrastructure in urban and rural households. Our strategy is to (i) analyze the ICT infrastructure concentration in Brazilian municipalities; (ii) analyze the spatial distribution of ICT infrastructure concentration in urban and rural households in Brazilian municipalities; and (iii) search for associations between parameters describing the ownership of ICT resources in urban and rural households with indicators for income, education, population size, and the existence of electricity in municipalities. To understand these associations at the municipality level, we use Bayesian Networks to reveal dependencies among the variables studied. The results of applying the proposed strategy show that for urban households, the average concentration in the municipalities of the Amazon for computers and Internet access and for fixed phones is lower than in other regions of the country; meanwhile, that for no access and mobile phones is higher than in any other region. For rural households, the average concentration in the municipalities of the Amazon for computers and Internet access, mobile phones, and fixed phones is lower than in any other region of the country; meanwhile, that for no access is higher than in any other region. The study shows that education, income, and population size are determinants of inequality in accessing ICT in Brazilian households. In addition, we advance to analyze the association between teenage motherhood and the representative variables of income, education, and computer and Internet access in the municipalities of the Brazilian Legal Amazon compared to other regions of the country. These networks pointed to the region as the influential variable on the high percentages of teenage mothers and households with computer and Internet access.
Acesso aberto (Open Access)
Estratégias baseadas em análise multicritério para seleção de tecnologia de acesso de primeira milha em padrão ISDB-T
(Universidade Federal do Pará, 2012-11-23) SERUFFO, Marcos César da Rocha; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
This thesis proposes the development of a planning strategy that combines: load characterization of a typical Digital TV, extraction of a weight vector from belief networks, and multicriteria decision making with analytical methods (TOPSIS and ELECTRE III), providing decision support at the service providers; in order to enable the optimal choice for the return channel technology (ADSL2 +, PLC, WiMAX and 3G), considering the typical load of an interactive Digital TV scenario, standard ISDB-T. The proposed strategy has five steps: definition of return channels and performance metrics; performance measurements of access technologies in real scenarios; scenario simulation; apply correlation techniques to generate the weight vector; and application of analytical decision making for choosing the best technology to be implemented in a given scenario. As main result a generic and flexible model is presented, validated with a case study for ordering the preference of the evaluated technologies.
Acesso aberto (Open Access)
Exploring service relocation and differentiation to improve survivability on operation of resilient optical cloud networks
(Universidade Federal do Pará, 2016-03-17) SILVA, Carlos Natalino da; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
Optical clouds are the combination of optical transport networks and cloud computing, which allows the integrated management of both infrastructures in one controller element. In this paradigm, cloud services can be provisioned in an anycast fashion, i.e., only the source node asking for a service and the amount of IT resources are specified, while it is up to the cloud control/management system to select the most suitable destination datacenter (DC) node. During the cloud service provisioning process resiliency is crucial in order to guarantee continuous network operations also in the presence of failures. On one hand, a survivability strategy needs to be able to meet the availability requirements of each specific cloud service, while on the other hand it must be efficient in using backup resources. Service relocation (i.e., the ability to live re-allocate one provisioned service to another DC) is one of the new features that can be used in this new paradigm, but needs to be applied carefully given its associated overhead may overload the network and DCs. Current works in the literature consider a single service model that lack representation of the heterogeneity expected for cloud services. In this context, some disrupted connection properties can be considered to improve the network survivability during the restoration process, e.g., priorities and service remaining holding time. This thesis proposes a restoration-based survivability strategy, which combines the benefits of both cloud service relocation and service differentiation concepts. The former is used to enhance the restorability performance (i.e., the percentage of successfully restored cloud services) offered by restoration, while the latter ensures that critical services are given the proper consideration while backup resources are assigned. An ILP and a heuristic are presented in order to solve the proposed survivability strategy. The proposed strategies are evaluated considering a variety of different simulation scenarios. Results show that performance achieved by the proposed ILP and heuristic are close to the ones achieved when using protection strategies, but with the inherent benefits in terms of efficient use of resources offered by restoration-based approaches.
Acesso aberto (Open Access)
FOG: função de objetivo genérico para roteamento e alocação de comprimentos de onda em redes ópticas com tráfego de demanda estática
(Universidade Federal do Pará, 2011-04-29) CARDOSO, Afonso Jorge Ferreira; COSTA, João Crisóstomo Weyl Albuquerque; http://lattes.cnpq.br/9622051867672434; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
This doctoral thesis proposes a mathematical formulation to simulate routing and wavelength assignment in optical networks, without the inclusion of constraints that are not inherent to the basic problem and in order to be applicable to any type of optical network with a static traffic demand. The establishment of a route followed by wavelength assignment is one of the keys to the smooth operation of an optical network, as this influences on how the resources of the network will be managed. Thus, the process of routing and wavelength assignment (RWA) in optical networks, needs a solution that seeks its optimization. However, despite numerous studies aiming to optimize RWA, it is observed that there is no solution, a priori, that could lead to a standardization of RWA process. Whereas consolidating standardization is desirable in the use of any technology, the thesis described in this work is a Generic Objective Function(GOF) that deals with the process of routing and wavelength assignment to establish a basis from which we can develop a standard or several standards for optical networks. The GOF was tested by simulation in the process of wavelength assignment (WA) and the RWA process as a whole. In both cases, tests were performed considering opaque networks, bringing surprising results, considering the simplicity of solution for a non-trivial problem.
Acesso aberto (Open Access)
Um framework para a previsão de cenários com o uso de sistemas híbridos neurogenéticos para compra e venda de energia elétrica no mercado futuro
(Universidade Federal do Pará, 2012-05-04) CONDE, Guilherme Augusto Barros; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
In the context of time series forecasting, is great the interest in studies of forecasting methods of time series that can identify existing structures and patterns in historical data, allowing generate the next patterns of the series. The proposal defended in this thesis is the development of a framework that uses the full potential of forecasting techniques (neural networks) with the optimization techniques (genetic algorithms) in a hybrid system that well enjoy the advantages of each of these techniques to the generation of future scenarios that can show, in aaddition to normal forecasts based on historical values, alternative pathways of the curves of time series analyzed.
Acesso aberto (Open Access)
Mecanismo de roteamento cross-layer em redes móveis Ad Hoc sem fio: um modelo de inteligência computacional com eficiência energética e suporte a mobilidade e QoE
(Universidade Federal do Pará, 2016-03-18) CARVALHO, Tássio Costa de; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The evolution of wireless communications technologies has led to the need to provide network support for data and video applications and thus promote the development of new types of network configurations adapted to these new requirements. MANET is an important type of operation networks that employs mechanisms that can enable dynamic autoconfiguration, which requires a higher efficiency of its routing protocols. These protocols can also be challenged due to energy failures that are becoming increasingly severe in relation to the common networks failure; furthermore, the quality of the multimedia stream corresponds to a fundamental premise to the next generation wireless networks and the future Internet. This thesis proposes a new routing mechanism based on cross-layer paradigm to enhance the main routing protocols, by inserting new metrics in a computational intelligence decision making based on fuzzy systems, providing energy efficiency, support to manage mobility and quality experience to the devices, choosing the best route for the flow of computer networks. The proposal is evaluated in network simulator, demonstrating its efficiency through network results, quality of experience metrics and maximizing the communication’s lifetime.
Acesso aberto (Open Access)
Uma metodologia para acompanhamento e monitoramento de intervenções de formação baseada em análise e mineração de redes sociais
(Universidade Federal do Pará, 2016-03-03) SILVA, Aleksandra do Socorro da; COSTA, João Crisóstomo Weyl Albuquerque; http://lattes.cnpq.br/9622051867672434; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
Despite advances in the quality and availability of information and communication technologies (ICT), the level of access and skills in using these resources remains unequal. This is particularly evident in developing countries. To reduce the gap between these levels of employing ICT, organizations (both public and private) invest in the expansion of infrastructure by providing ICT access and ICT training through ICT interventions. In this thesis, it is shown that there is a gap in current approaches to monitor and evaluate large-scale ICT training interventions. Therefore, a methodology is proposed based on the links between participants, social networks analysis and mining. The links represent that participants are at the stage of technological appropriation. This methodology is structured in different levels with specific purposes: (i) to analyze whether there is an intensification of links according to the time in the training; (ii) to analyze the influence of the role or participant's location in communities/clusters; (iii) identify participants with higher participation in training or detect variables associated with low participation. The study scenario for the application of the methodology is the qualification of individuals in Telecentros.BR Program — created in Brazil to install telecenters and qualify individuals to use ICTs. We found that (i) the analysis of interactions in different time periods reflects the objectives of each phase of training, highlighting the increased density in the phase in which participants develop and disseminate their projects; (ii) analysis according to the roles of participants (i.e., tutors or monitors) reveals that the interactions were influenced by the training center (or region) to which the participant belongs (that is, a community contains mainly members of the same region and always with the presence of tutors, contradicting expectations which aimed for intense collaboration of the participants, regardless of the geographic region); (iii) participants of the northeast region of country are associated with the highest degree centrality in social networking platform; (iv) several participants who had low degree centrality reported that the internet was unstable, especially in the north of country.
Acesso aberto (Open Access)
Uma metodologia para aferição da acurácia de modelos de projeção de longo prazo para a Previdência Social no Brasil
(Universidade Federal do Pará, 2017-12-01) SILVA, Carlos Patrick Alves da; PUTY, Claudio Alberto Castelo Branco; http://lattes.cnpq.br/5885474167011571; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
Long-term social security statistical forecasts produced and disseminated by the Brazilian government aim to provide accurate results that would serve as background information for policy decisions. These forecasts are being used as support for the government’s proposed pension reform. However, the reliability of official results is uncertain since no systematic evaluation of these forecasts has ever been published by the Brazilian government or anyone else. This work aims to present a study of the accuracy and methodology of the instruments used by the Brazilian government to carry out long-term actuarial forecasts. More specifically, this work investigates what would be the source of data, assumptions, equations, variables, parameters and estimation methods used to compute results released by the federal government. An empirical analysis shows that the long-term Social Security forecasts are systematically biased in the short term and have significant errors that render them meaningless in the long run. In addition, attempts to reproduce the results of the 2012 and 2018 LDOs demonstrate the lack of transparency in official documents, both in the described equations and the databases used. From a mathematical model developed, it was shown that the long-term forecasts of variables, such as GDP, Social Security revenues and expenses, have a large component of volatility and uncertainty which make your forecast challenging in the short term and impossible, with an acceptable level of confidence, in the long run. A sensitivity analysis for the productivity and average contribution rate parameters showed the impact of these on Social Security results, showing a gain of up to 72% in revenue for an annual labor productivity growth of 3%, for example. Finally, a free and open source software, developed under this research, that implements the current official forecast model is presented, as well as several improvements in the design process, such as the ability to simulate changes in the labor market.
Acesso aberto (Open Access)
Predição de qualidade de experiência para internet do futuro em arquiteturas heterogêneas de redes sem fio móveis
(Universidade Federal do Pará, 2013-12-06) FERREIRA JUNIOR, José Jailton Henrique; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The Next Generation Networks are architectures that allow vertical handovers and the user-centric vision by the appropriate Quality of Experience (QoE) provisioning for multimedia applications. The discussion is much less protocol-oriented perspective and is more service-oriented perspective. This thesis presents an architecture for next-generation networks to provide wireless heterogeneous access and seamless vertical handover for multimedia applications. The proposal considers different wireless technologies and also adopts the standard IEEE 802.21 (Media Independent Handover – MIH) to assist in the integration and the mobility management of heterogeneous wireless networks. The technologies in architecture are: IEEE 802.11 (popular known as Wi-Fi), IEEE 802.16 (popular known as WiMAX) and LTE (popular known as Fourth Generation – 4G). The objective is to choose the best connection for user. The proposal architecture presents mechanisms to predict quality of experience that will be decisive parameter to do or do not the handover, the prediction will be using artificial intelligence neural networks, in addition to architecture also provides a mechanism for QoE discard packets to specific multimedia applications. The proposal is evaluated by simulation using the ns-2 (Network Simulator) and the performance results are presented through the QoS/QoE metrics and also visually by displaying the video frames transmitted in architecture.
Acesso aberto (Open Access)
Sistema fuzzy para decisão de handover vertical e maximização da vida útil da bateria em redes multimídia sem fio heterogêneas
(Universidade Federal do Pará, 2019-03-15) COQUEIRO, Thiago Antônio Sidônio; FERREIRA JÚNIOR, José Jailton Henrique; http://lattes.cnpq.br/9031636126268760; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The applications that consume high bandwidth and energy consumption have been increasing considerably fast in mobile networks. However, the mobile devices do not offer support to battery capacity for the intensive / continuous use of such applications. In addition, mobile networks currently have a high degree of heterogeneity and comprise a wide variety of networks with different technologies, such as LTE, Wi-Fi and WiMAX. Therefore, it is necessary the tradeoff to ensure that QoE is provided to users in this scenario, as well as an energy efficiency strategy designed to extend the battery life of mobile devices. This thesis proposes an intelligent architecture based on Fuzzy logic, capable of providing support to decision making to save the energy of mobile devices within an integrated LTE and Wi-Fi network. Considering user satisfaction, the gains obtained through the PSNR, SSIM and VQM metrics were respectively 32%, 31% and 91% higher than the architecture without Fuzzy logic. Thus, the simulated experiments show the benefits and feasibility of the proposed solution.
Acesso aberto (Open Access)
Smartcom: uma arquitetura inteligente de gerenciamento de consumo de energia para smart home
(Universidade Federal do Pará, 2017-08-25) OLIVEIRA, Edvar da Luz; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
With advances in information technology for a variety of areas, such as health and wellness, Smart Home based solutions using Internet of Things (IoT) technologies are gaining in popularity, including energy-saving alternatives based on Home Energy Management Systems (HEMS). This thesis defines an innovative architecture, called SmartCoM, which is implemented to monitor and manage residences using IoT technologies. Such a strategy involves defining the parameters that can affect the interoperability between measurement, management and the layers of data communication, which are the resources necessary for the hardware devices to perform the intended monitoring and measurement. In addition, an interface is defined by a middleware layer to integrate the management of external installations and the visualization of data through cloud services. The SmartCoM architecture is defined end-to-end in detail from the consumer's point of view and optimization strategies are employed for both the end customer and the utility. In order to evaluate the proposed architecture, a case study was elaborated, from which the viability of developing solutions for Smart Home according to the requirements described in SmartCoM is observed.

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