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Intelligence at the Edge Part 3: Edge Node Communication

Intelligence at the Edge Part 3: Edge Node Communication

Connected industrial machines can sense a wide array of information used to make key decisions within the Industrial Internet of Things (IIoT). A sensor within an edge node can be spatially far removed from any data aggregation point. It must connect through a gateway that links edge data with a network.


Intelligence at the Edge Part 2: Reduced Time to Insight

Intelligence at the Edge Part 2: Reduced Time to Insight

In this multipart industrial IoT series, we will break down and explore the fundamental aspects of the edge node interpretation within the larger IoT framework: sensing, measuring, interpreting, and connecting data, with additional consideration for power management and security.


Intelligence at the Edge Part 1: The Edge Node

Intelligence at the Edge Part 1: The Edge Node

The industrial Internet of Things (IoT) encompasses the broad transformation underway that will make pervasive sensing across connected machines not just a competitive advantage, but an essential fundamental service. The industrial IoT starts with the edge node, which is the sensing and measurement entry point of interest.


MEMS Vibration Monitoring: From Acceleration to Velocity

MEMS Vibration Monitoring: From Acceleration to Velocity

MEMS accelerometers have finally reached a point where they are able to measure vibration on a broad set of machine platforms.


Flexible ECG Front-End IC Serves Ultra Low-Power IoT Edge Node Signal Processing Designs

Flexible ECG Front-End IC Serves Ultra Low-Power IoT Edge Node Signal Processing Designs

As system designers search for power efficient signal conditioning components, they may find that there are very few ICs available under 100 μ‎A supply current and even fewer that include a small package variant.


Developing Smarter, Safer Cars with ADAS (Automotive Advanced Driver Assistance Systems) IP

Developing Smarter, Safer Cars with ADAS (Automotive Advanced Driver Assistance Systems) IP

Optimizing performance, safety, and reliability in ADAS applications via design, verification, and processor IP and a holistic design approach.