Recent Submissions

  • Projeto evolutivo de circuitos combinacionais quânticos 

    Miranda Filho, Fernando Tenório de; http://lattes.cnpq.br/3286914061357777 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2020-02-04)
    While advances in quantum hardware occur in modest steps, simulators running on classical computers allow a slightly faster advance in the construction of quantum algorithms. Given a unitary matrix that performs a given ...
  • Ensino de música para crianças surdas utilizando tecnologia assistiva e robótica 

    Benites, Cristiano da Silva; http://lattes.cnpq.br/7929863405512173 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2020-02-05)
    This research reports challenges encountered in including children with hearing impairment in music learning and presents how society accepts these individuals, seeks to know how deaf people see music, presents reports of ...
  • Método de autogeração de protótipos para tarefas de classificação de dados baseado em entropia da informação 

    Manasrarla, Alberto; http://lattes.cnpq.br/4823102188272284 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2020-02-11)
    Currently, data generated in large volume, different contexts of application and format have significantly impacted on different types of machine learning algorithms, especially those of predictive modeling. Systems that ...
  • Implementação e otimização do algoritmo de decodificação de LDPC no GRC baseado em redes neurais 

    Jerji, Fadi; http://lattes.cnpq.br/9966975737483085 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-05-21)
    ThismanuscriptpresentsasoftwareimplementationoftheLow-Density Parity-Check (LDPC) codes, defined by the Third Digital TV Standard developed by the Advanced Television Systems Committee (ATSC 3.0). In order to decode the ...
  • Análise preditiva de explosões solares: uma abordagem baseada em regras de associação de eventos 

    Nogare, Diego Candile Dalle; http://lattes.cnpq.br/6555330314235490 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2020-02-06)
    Through a Systematic Review of Literature (SRL), it was possible to understand the state of the art of research involving prediction of solar flares. With the result of the SRL it was found that Machine Learning models ...
  • Simulação de negociações em instrumentos do índice IBOVESPA utilizando machine learning 

    Marretti, Roberto Bruno Lemes; http://lattes.cnpq.br/0625674832070048 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Ciências e Aplicações GeoespaciaisUPMBrasil, 2019-08-20)
    The prediction and understanding of the capital market is a naturally challenging task due to the complexity and breadth of nancial market variables. Analysts and investors use software systems to assist them in making ...
  • Plásmon poláritons de superfície em grafeno sobre um substrato com épsilon próximo a zero 

    Alvarenga, Vinicius Tadin; http://lattes.cnpq.br/5204572939083151 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-07-29)
    In this work, a method to facilitate the excitation of surface plasmon polaritons in graphene is proposed and demonstrated by using a substrate with its dielectric fuction close to zero. Silicon carbide was used as the ...
  • Classificação de perfis de jogadores por meio de um jogo digital adaptativo 

    Ohata, Daniel Domingos Akira de Sá Pimentel; http://lattes.cnpq.br/0299352892655359 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-08-23)
    The player rating study helps in the production of digital games, to classify a player it is necessary to answer a questionnaire. Your answers will tell you which profile the player belongs to. The present work aims the ...
  • Implementação e otimização do algoritmo de decodificação de LDPC no GRC baseado em redes neurais 

    Jerji, Fadi; http://lattes.cnpq.br/9966975737483085 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-05-21)
    This manuscript presents a software implementation of the Low-Density Parity-Check (LDPC) codes, defined by the Third Digital TV Standard developed by the Advanced Television Systems Committee (ATSC 3.0). In order to ...
  • Um framework para alocação de portifólios baseada em agrupamento particional 

    Duarte, Flávio Gabriel; http://lattes.cnpq.br/3784803385168985 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-08-15)
    This dissertation proposes a framework based on partitional clustering for the asset allocation in a set of assets from the correlation between them. The goal of the framework is to provide an asset allocation method to ...
  • Análise de técnicas de inteligência artificial para o projeto de enlaces de fibras ópticas 

    Lima, Bruno Cesar dos Santos; http://lattes.cnpq.br/7085581279846679 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-12-11)
    Society currently seeks competitiveness for its business, high performance and a low cost support platform, idealizing the contemporary scenario where the world is interconnected by communication networks. Thus the need ...
  • Análise e comparação do desempenho de diferentes arquiteturas de redes neurais artificiais profundas aplicadas á triagem de lesões de pele 

    Santos, André Pires dos; http://lattes.cnpq.br/6542552267763233 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-08-08)
    This work aims to study the performance of several deep neural network architectures applied to classify dermatological lesions. The result has as secondary applications to set the referral and priority of care to the ...
  • Recomendações de produtos em tempo real baseadas no reconhecimento de objetos em vídeo 

    Souza Junior, Nelson Forte de; http://lattes.cnpq.br/9876836160735807 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-08-15)
    With the development of e-commerce in buying and selling relationships, and its constant overlap over the classic way of selling products, many computational and statistical methods were discovered and researched to ...
  • Plásmon poláritons de superfície em grafeno sobre um substrato com épsilon próximo a zero 

    Alvarenga, Vinicius Tadin; http://lattes.cnpq.br/5204572939083151 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-07-29)
    In this work, a method to facilitate the excitation of surface plasmon polaritons in graphene is proposed and demonstrated by using a substrate with its dielectric fuction close to zero. Silicon carbide was used as the ...
  • Identificação de manipulação no mercado financeiro de ações e derivativos por Spoofing e Layering 

    Saldanha, Mateus Alves; http://lattes.cnpq.br/8077724101946101 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-05-09)
    This research presents the study on the financial market of Brazil Stock Exchange for Bovespa and BMF segments, observing the mechanics of the sending of orders of the assets and the possibility of manipulation of the ...
  • Redes neurais artificiais para predição das propriedades de transporte de vale em nanofitas de grafeno 

    Silva, Pablo Rhuam Cavalcante; http://lattes.cnpq.br/0907673125468136 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-08-14)
    The control of the valley degree of freedom of electrons (valleytronics) has recently emerged as a promising technology for the next generation of electronic devices; this quantum number naturally appears in periodic ...
  • Chaveamento elétrico de dispositivos para modulação óptica baseados em grafeno 

    Araújo, Maria Cecília Schineider; http://lattes.cnpq.br/6789262230736216 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-06-07)
    The graphene-based electro-optic modulator composed by a D-shaped optical fiber and a capacitive structure with a polymethylmethacrylate (PMMA) superstrate of 700 nm thickness on the polished side was analyzed by simulation. ...
  • Seleção de protótipos com mapas-auto-organizáveis e entropia para sobreposição de classes e desbalanceamento de dados 

    Rubbo, Márcio; http://lattes.cnpq.br/2992260687234549 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-08-09)
    The k nearest neighbor (kNN) is a traditional supervised classifier used in data mining tasks. However, when used in real applications, mainly in a dataset with class imbalance or class overlap, kNN suffers with problems ...
  • Exploração computacional dos espectros de Fourier de autômatos celulares elementares assíncronos 

    Etchebehere, Gustavo Santarsiere; http://lattes.cnpq.br/0135108819475042 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-07-31)
    The spectral analysis and asynchronous cellular automata subjects are relevant among the cellular automata scientific community. Asynchronous cellular automata are variants of cellular automata at which the cells have their ...
  • Desenvolvimento da etapa BICM do sistema ATSC 3.0 na plataforma GNU Radio 

    Ganzaroli, Guilherme Rossi; http://lattes.cnpq.br/7237990342914459 (Universidade Presbiteriana MackenzieEscola de Engenharia Mackenzie (EE)Engenharia ElétricaUPMBrasil, 2019-02-06)
    This work consists on the creation of the Bit Interleaved Coding And Modulation (BICM) stage of the Advanced Television Systems Committee 3.0 (ATSC 3.0) digital TV system in Software Defined Radio (SDR), using the GNU ...

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