Welcome Charles, TI and Analoge Devices seem to be the leaders in developing Sensor on the Chip technology. The Mining Industry would definitely benefit from this gas detection system technology in monitoring the air quality of underground mines.
Thanks, Mrdon. The applications for this technology appear to be immense. Virtually every commercial building and even most homes have some kind of gas detection system. I think TI is on the right track.
Hi Charles, Based on the TI link you provided for additonal information, they provide a wealth of hardware, software, and reference design tools for the engineer to get hands-on knowledge about their product. I was really impress TI has built a model to be simulated in Webench for a first hand investigation of their AFE system without plopping down dollars for physical hardware. Nice article!
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.