For $25 you can now get a "personal salary profile," showing how much engineers with education and experience similar to yours make. It's a new service of the Engineering Workforce Commission of the American Association Of Engineering Societies (AAES) based in Washington, DC. Here's how it works. You fill out a form describing your background, your location, and the industry you are in. The Commission sends you back your salary profile. For Design News, the commission did part of a sample profile for a non-supervisory engineer with a bachelors degree and five years experience in the auto industry. Results show that the mean salary for such an engineer across the nation is $50,650. A tenth of the engineers makes above $56,850, a fourth makes above $53,950, and the median is $50,500. The lower fourth makes below $47,700, and the lower tenth below $44,750. You can order a profile form by phoning AAES at (888) 400-2237 ext. 209 or 210.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
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.