Current Issue

Martin CottonSignal-integrity challenges are becoming more pressing across all frequencies, and materials technologies are evolving in response.

As the IoT gathers pace, keeping people – and, increasingly, things – connected involves shifting huge quantities of data. Handling the volume and speed imposes immense engineering challenges in all the various elements: handsets, IoT gateways, telco core networks. Even today’s cars are part of this high-performance information infrastructure, as manufacturers want to position value-added services like infotainment and e-call emergency care. And as the data get aggregated at various points into the network core, economics means they’re viewed as a commodity. The more that can be moved in a given time, the lower the cost per bit.

Read more: Seeking Material Gains – An Engineering Essential

One of the largest exhibitions for the printed circuit industry was held on June 6 through June 8 at Tokyo Big Sight in Japan.

Read more: JPCA Show 2018

The first quarter of 2014 is now in the history books, and industry sales for the first month were sent to me recently. Listed below is a summary of these data compared to last year.

Read more: Slow Start for the Printed Circuit Industry in 2014

Bill Hargin

The "founder" of TMI asks, How much is more analysis worth?

Just because something can be done doesn’t mean that it should be done.

A few customer encounters this past month caused an issue to ricochet around in my mind like a 1970s pinball machine. I’m referring to a trap we’ve all fallen into: analysis paralysis.

Three interrelated definitions I have for analysis paralysis are worth enumerating:

  1. The condition of being indecisive while overanalyzing alternatives. (Classic analysis paralysis.)
  2. Allowing a project to mushroom into something bigger than it needs to be to get the job done. (This column is a good example.)
  3. Using data from the most expensive tools you own just because you have the tools or the data (e.g., it’s expensive and took a lot of time, so it must be good).

It’s not that analysis or expensive tools aren’t good, but their employment is an optimization process.

Relative to the above, I can’t and won’t lecture on trying to rely on overanalyzing things or using “too much information” as if I have a solid handle on it. When non-engineers say to me, “That’s TMI,” I say, “I invented TMI.”

To continue reading, please log in or register using the link in the upper right corner of the page.

Read more: Winning the War against Analysis Paralysis

Page 164 of 228