A new 32-bit microcontroller integrates precision analog, LCD driving and voice capabilities to simplify the design of ...

The NSC128L42 from Nuvoton Technology Corporation is a 32-bit Arm® Cortex®-M23 microcontroller for high-precision measurement that integrates a 24-bit Sigma-Delta ADC, 12-bit SAR ADC, LCD driver and ...

The hardware is discontinued and the experience isn't perfect, but the fact that the emulator exists at all is a true ...

Remote access devices like IP KVMs are usually built around powerful single-board computers such as the Raspberry Pi. But ...

Floadia Corporation (hereinafter "Floadia"), a leading developer of embedded flash IP (eFlash IP) based in Tokyo, Japan, today announced the release of its latest automotive eFlash IP, G1, implemented ...

A female graduate of the Federal University Oye-Ekiti (FUOYE) has displayed the monitoring system she built for an electric ...

These days, a lot of embedded projects feature some sort of screen, and a screen often creates a desire for a nice user interface. [Geoffrey Wells] has created a tool for developing web interfaces for ...

Floadia Corporation (hereinafter “Floadia”), a Tokyo, Japan-based developer of embedded flash IP (eFlash IP), has announced the release of its latest automotive eFlash IP, G1, implemented on TSMC’s ...

Abstract: Wearable systems for the continuous and real-time monitoring of cardiovascular diseases are becoming widespread and valuable assets in diagnosis and therapy. A promising approach for ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Abstract: The task of Human Activity Recognition (HAR) finds application in smart homes and assisted living and is mostly approached with machine learning. Sensor data for HAR is often collected and ...