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pro vyhledávání: '"Aaron Roopnarine"'
Autor:
Aaron, Roopnarine, Sean A, Rocke
Publikováno v:
Journal of Electrical Bioimpedance
Human body communication (HBC) uses the human body as the channel to transfer data. Extensive work has been done to characterize the human body channel for different HBC techniques and scenarios. However, statistical channel bioimpedance characterisa
Publikováno v:
2020 IEEE MTT-S Latin America Microwave Conference (LAMC 2020).
Diabetes is a chronic disease where the body does not produce sufficient insulin hormone to control glucose levels. To prevent health complications arising, diabetics must continuously monitor their blood glucose. Currently, blood glucose levels are
Autor:
Aaron Roopnarine, Sean Rocke
Publikováno v:
Proceedings of the International Conference on Emerging Trends in Engineering & Technology (IConETech-2020).
Organic Communication Channels (OCCs) are any hydrocarbon-based media which can be used to communicate data. This has great potential when applied to cyber-physical systems such as with smart farming. This paper establishes the relevance (though a li
Autor:
Sean Rocke, Aaron Roopnarine
Publikováno v:
PACRIM
Internet of Farming (IoF) is the application of Internet of Things (IoT) to agriculture use cases. Organic channels are any hydrocarbon based media. When organic channels are used to communicate data, they are termed Organic Communication Channels (O
Autor:
Marcus L. George, Aaron Roopnarine
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 9:161-170
Speech processing involves making changes to speech signals for a required application. Therefore it is very important in the area of communications. In the 21 century the use of FPGAs has been more prevalent in many areas. In this paper, the impact
Autor:
Marcus L. George, Aaron Roopnarine
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 9:115-120
In this paper, a technique for processing data produced from an EEG though the use of an FPGA architecture is proposed. The proposed FPGA architecture should efficiently determine the wavelet transform of the inputted data. The transformed signal wou