A hardware engineer jamming on stage isn't exactly what you'd expect at a technical conference. So that may be why Gustavo Castro's rendition of "Smoke on the Water" nearly brought down the house at Tuesday's keynote address at NIWeek 2004. Plus, he's good. Castro, who played a major role in adding new features to NI's PXI-4070 FlexDMM, a 6½-digit high-speed digitizer for PXI, combined his engineering and musical skills to showcase the 4070's new inductance and capacitance measurement capabilities (http://rbi.ims.ca/3855-547). Essentially, he created a guitar tuner (albeit a pricy one!), exploiting the digitizer mode of flex DMM by measuring the inductance of the guitar pickup and capacitance of the cable and pre-amp, digitizing the output waveform, and tuning the guitar using LabVIEW. And by the way, you can hear Gustavo and his rock band, The Happy Fun Ball, get down on Friday nights on Sixth Street in Austin, TX.
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.