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Academic literature on the topic 'VHDL language. eng'
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Journal articles on the topic "VHDL language. eng"
Swarup Kumar, J. N. V. R., and D. Suresh. "Automated Secured Data Delivery for Next Generation Optical Networks." Asian Journal of Computer Science and Technology 7, S1 (November 5, 2018): 104–7. http://dx.doi.org/10.51983/ajcst-2018.7.s1.1794.
Full textWei Chun, Quek, Pang Wai Leong, Chan Kah Yoong, Lee It Ee, and Chung Gwo Chin. "HDL Modelling of Low-CostMemory Fault Detection Tester." Journal of Engineering Technology and Applied Physics 2, no. 2 (December 15, 2020): 17–23. http://dx.doi.org/10.33093/jetap.2020.2.2.3.
Full textRudnicki, Kamil, Tomasz P. Stefański, and Wojciech Żebrowski. "Open-Source Coprocessor for Integer Multiple Precision Arithmetic." Electronics 9, no. 7 (July 14, 2020): 1141. http://dx.doi.org/10.3390/electronics9071141.
Full textMeddah, Karim, Malika Kedir Talha, Hadjer Zairi, Mohammed Nouah, Said Hadji, Mohammed A. Ait, Besma Bessekri, and Hachemi Cherrih. "FPGA IMPLEMENTATION SYSTEM FOR QRS COMPLEX DETECTION." Biomedical Engineering: Applications, Basis and Communications 32, no. 01 (February 2020): 2050005. http://dx.doi.org/10.4015/s1016237220500052.
Full textRayside, Derek. "A Compiler Project with Learning Progression." Proceedings of the Canadian Engineering Education Association (CEEA), June 17, 2013. http://dx.doi.org/10.24908/pceea.v0i0.4798.
Full textRao, R. V. Ch Sekhar, and Mr M. Srinivasa Rao. "Feat Of Submerged Scheme Relevance In Power Pc Processor Based Fpga Using Fpga Ip Cores." International Journal of Computer Science and Informatics, July 2011, 28–33. http://dx.doi.org/10.47893/ijcsi.2011.1006.
Full text"Design and Implementation of Hybrid FIR Filters using Vedic Multiplier and Fast Adders." International Journal of Recent Technology and Engineering 8, no. 4 (November 30, 2019): 11849–53. http://dx.doi.org/10.35940/ijrte.d9569.118419.
Full textDissertations / Theses on the topic "VHDL language. eng"
Brito, Moacyr Aureliano Gomes de. "Pré-regulador retificador boost com controle digital por valores médios, para sistema de iluminação fluorescente multi-lâmpadas, utilizando dispositivo FPGA e VHDL /." Ilha Solteira : [s.n.], 2008. http://hdl.handle.net/11449/87275.
Full textAbstract: This work presents the analysis, development and implementation of a single-phase power factor correction (PFC) pre-regulator rectifier, based on boost circuit, to act as a power supply for 1.200 watts multi-lamp fluorescent systems. The converter's digital control will be implemented using the average current mode control, based on VHDL language (VHSIC HDL - Very High Speed Integrated Circuit Hardware Description Language) and using a FPGA (Field Programmable Gate Array) device. In this work, the mathematical analyses of the converter's model are developed in order to obtain the proper transfer functions to design voltage and current digital compensators. The methodology applied at the digital design is capable to deal with the Bode diagrams and incorporate the analog to digital converter, the digital to analog converter and the digital signal processor, eliminating the uncertainties involving approximation methodologies and minimizing the necessity of high level of acquisition rates. This project is evaluated through MatLab/Simulink, showing results for steady-state operation and dynamics in order to analyze the converter's response. Moreover, the converter's digital control is based on VHDL language, using the behavioral modeling in a top-down project style, which is presented and validated through simulation results. In addition, the behavior of the conventional electronic ballasts are presented in order to help in the development of a filter, capable to impede the circulation of the AC components of the ballast current throught the feeding link, guaranteeing the continuous current conduction, among the boost capacitor and the electronic ballasts. Finally, this work presents the laboratorial development of this PFC with digital control, where the prototype was evaluated through experimental results.
Orientador: Carlos Alberto Canesin
Coorientador: Fabio Toshiaki Wakabayashi
Banca: Claudio Kitano
Banca: Arnaldo José Perin
Mestre
Souza, Fabiano Alves de. "Detecção de faltas em sistemas de distribuição de energia elétrica usando dispositivos programáveis /." Ilha Solteira : [s.n.], 2008. http://hdl.handle.net/11449/87044.
Full textBanca: Nobuo Oki
Banca: Luis Gustavo Wesz da Silva
Resumo: Atualmente as empresas do setor elétrico deparam-se cada vez mais com as exigências do mercado energético sendo obrigadas a assegurarem aos seus clientes bons níveis de continuidade e confiabilidade no serviço de fornecimento da energia elétrica e também atender os índices de continuidade do serviço estabelecidos pela agência reguladora do setor elétrico (ANEEL - Agência Nacional de Energia Elétrica). Para alcançar estes objetivos além de investir na otimização dos seus sistemas de transmissão e distribuição, as empresas responsáveis têm investido na automação de suas operações, buscando alternativas que reduzam os tempos de interrupção por faltas permanentes nos sistemas de potência. Através de informações disponíveis em uma subestação, é possível estabelecer um procedimento para determinar e classificar condições de faltas, localizando o elemento de proteção acionado, e assim fornecer o apoio à tomada de decisão no ambiente de subestações de sistemas de distribuição de energia elétrica. Neste trabalho é proposta uma metodologia que fornece respostas rápidas (controle on line), para detecção e classificação de faltas em sistemas de distribuição de energia elétrica através de informações analógicas disponíveis em uma subestação, tais como amostras de sinais de tensões e correntes na saída dos alimentadores, com uma arquitetura reconfigurável paralela que usa dispositivos lógicos programáveis (Programables Logics Devices - PLDs) -FPGAs e a linguagem de descrição de hardware - VDHL (Very High Speed Integraded Circuit - VHSIC). Para validar o sistema proposto, foram gerados dados de forma aleatória, compatíveis com informações fornecidas em tempo real pelo sistema SCADA (supervisory control and data-acquisition) de uma subestação real. Os resultados obtidos com as simulações realizadas, mostram que a... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Currently companies of the energy industry is facing increasingly with the requirements of the energy market are obliged to ensure their customers good levels of continuity in service and reliability of supply of electric energy and also meet the rates of continuity of service established by the agency regulator of the energy industry (ANEEL - National Electric Energy Agency). To achieve these goals than to invest in optimization of its transmission and distribution systems, the companies responsible have invested in automation of its operations, seeking alternatives that reduce the time of interruption by failures in the systems of permanent power. Through information available in a substation, it is possible to establish a procedure for identifying and classifying conditions of absence, finding the element of protection driven, and thus provide support for decision-making within the environment of substations to distribution systems for power. This work is proposed a methodology that provides quick answers (control online), for detection and classification of faults in distribution systems of electric energy through analog information available on a substation, such as samples for signs of tensions and currents in the output of feeders, with an architecture that uses parallel reconfigurable programmable logic devices (Programables Logics Devices - PLDs)-FPGAs and the language of description of hardware - VDHL (Very High Speed Circuit Integraded - VHSIC). To validate the proposed system, data were generated at random, consistent with information provided by the system in real time SCADA (supervisory control and data-acquisition) of a real substation. The results obtained with the simulations conducted, show that the proposed methodology, presents satisfactory results, and times of reasonable answers.
Mestre
Raizer, Klaus 1982. "Análise de sinais de ECG com o uso de wavelets e redes neurais em FPGA." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264098.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica
Made available in DSpace on 2018-08-16T07:47:06Z (GMT). No. of bitstreams: 1 Raizer_Klaus_M.pdf: 2682241 bytes, checksum: 765c3dc138a1e4c9258fd0201cd56a8f (MD5) Previous issue date: 2010
Resumo: Este trabalho apresenta a implementação de um sistema de análise de sinais de ECGs (eletrocardiogramas) embarcado em FPGA (field programmable gate array), capaz de classificar cardiopatias. A análise de ECGs é de grande importância devido a sua natureza potencialmente não-invasiva, baixo custo e alta eficiência na identificação de patologias cardíacas. Visto que um sinal de ECG pode ser composto por horas de gravação da atividade cardíaca, uma abordagem computacional para a sua análise torna-se um instrumento valioso para a redução do tempo e dos erros de diagnóstico. No presente trabalho uma série de características são extraídas dos pulsos de ECG, que foram obtidos a partir dos sinais do banco de dados MIT-BIH, através da decomposição por transformada wavelet discreta. Essas características foram então utilizadas para treinar uma Rede Neural do tipo feedforward para discernir pulsos normais de pulsos anômalos. Uma versão da rede neural foi então programada em VHDL e em seguida implementada em um Kit da Xilinx modelo Spartan 3E para a classificação pulso a pulso dos sinais de ECG. As implicações dessa arquitetura são discutidas e os resultados são apresentados
Abstract: this work presents an implementation of an embedded ECG (electrocardiogram) signal analysis system using FPGA (field programmable gate array), capable of classifying cardiopathies. The importance of ECG analysis is mainly due to its potentially non-invasive nature, low cost and high efficiency to identify heart pathologies. Since a single ECG signal can be the record of hours of heart activity, a computational approach to its analysis is invaluable to reduce diagnostic errors and the time taken by the process. In the present work, features are extracted from ECG pulses, obtained from the MIT-BIH database, by decomposing them with the Discrete Wavelet Transform. These features are then used to train a Backpropagation Neural Network in order to discriminate normal ECG pulses from anomalous ones. The neural network is programmed in VHDL and uploaded into a Spartan 3E Xilinx development kit, which performs a pulse-by-pulse classification. The implications of such architecture are discussed and its results are presented
Mestrado
Mecanica dos Sólidos e Projeto Mecanico
Mestre em Engenharia Mecânica