PID-FUZZY OF DC MOTORS USING RASPBERRY PI

PID-fuzzy of DC motors using Raspberry PI

This article describes the implementation of a fuzzy and a PID control system for the velocity and torque of a DC power motor, based in the variation of the armor current and its duty cycle.The control system Engine Components has been applied to a medium power DC motor, using Python, and a low-cost embedded system - Raspberry Pi, this work is fund

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Using high-throughput sequencing to leverage surveillance of genetic diversity and oseltamivir resistance: a pilot study during the 2009 influenza A(H1N1) pandemic.

BACKGROUND: Influenza viruses display a high mutation rate and complex evolutionary patterns.Next-generation sequencing (NGS) has been widely used for qualitative and semi-quantitative assessment of genetic diversity in complex biological samples.The "deep sequencing" approach, enabled by the enormous throughput of current NGS platforms, allows the

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Morphological remodeling of Coxiella burnetii during its biphasic developmental cycle revealed by cryo-electron tomography

Summary: Coxiella burnetii is an obligate zoonotic bacterium that targets macrophages causing a disease called Q fever.It has a biphasic developmental life cycle where the extracellular and metabolically inactive small cell variant (SCV) transforms inside the host into the vegetative large cell variant (LCV).However, details about the morphological

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ECG classification efficient modeling with artificial bee colony optimization data augmentation and attention mechanism

In addressing the key issues of the data imbalance within ECG signals and modeling optimization, we employed the TimeGAN network and a local attention mechanism based on the Ski de fond - Equipement - Fixations - Classic artificial bee colony optimization algorithm to enhance the performance and accuracy of ECG modeling.Initially, the TimeGAN netwo

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