Today's No-Problem Problem concerns the interaction of basic engineering,
economics, baseball, and perhaps any number of other disciplines. As in all our
No-Problem Problems, the trick is to spot the inconsistency, insufficiency of
variables, or violation of physical law that makes it impossible to solve the
problem as stated. The winner will be chosen at random from among the most
correct, most incorrect, and/or most interesting entries, and will receive a Design News MagLite™ flashlight.
Here is the problem: "The Baseball Commissioner has just vetoed, 'for the good of baseball,' a trade between the New York Yankees and the Los Angeles Dodgers in which four design engineers were to be swapped for a purchasing agent and cash. The Commissioner has asked you to determine the proper exchange rate for major league design engineers and major league purchasing agents. What is that rate?
So tell us: why can't this problem be solved? Send your answer to: No-Problem Problem Contest (Major League Swap), Design News, 275 Washington St., Newton, MA 02458 or e-mail email@example.com.
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.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.