Digital Engineering Optimal Technology for Engineering Design

Engineers are creating more use cases for the industrial internet of things; but what roadblocks do they still need to consider?

Auto manufacturers and standards organizations weigh the options for V2X communications.

Access to cloud resources enables manufacturers to leverage modern analytics for system optimization and predictive maintenance on the shop floor.

Flexible hybrid electronics based medical sensors boast numerous selling points, most of which can be summed up as enabling better data collection.

Given the diverse set of devices developed for home automation, is interoperability achievable?

As more devices become connected to the IoT, how will engineers design for bandwidth considerations?

Creating the sensor represents a step in the instrumentation of the “things” populating the internet of things (IoT). Embedded sensors promise to provide the means to effectively capture in-situ data from industrial equipment, opening the door for advanced setup, maintenance and diagnostics.

Defense from cyberattacks must begin with device design and embedded security.

The increasing momentum of the IIoT and the growing footprint of open-source software promise to foster the proliferation of embedded software-empowered intelligent devices and smart sensors.

AI has begun to come into its own, making tremendous strides over the past few years. But for all its successes, applications of AI-like machine learning, neural networks and deep learning have been slow to find a place in electronic design automation.

The emergence of the industrial internet of things and a growing appreciation of the impact of big data in this arena have sparked a revitalization of industrial analytics.

The convergence of smart microphones, new digital signal processing technology, voice recognition and natural language processing has opened the door for voice interfaces.