SENSORS: All Sensors Corp.’s ½ inch H2O Full Scale Millivolt Output Pressure Sensor is the first ½ inch H2O Millivolt Output Pressure Sensor released to the market. Obtaining a ½ inch measurement from a millivolt device has become possible utilizing proprietary All Sensors’ CoBeam²TM Technology. The ½-inch device offers 2x the sensitivity of the 1 inch H2O device which provides higher signal to noise for the most demanding low-pressure applications. This millivolt pressure sensor offers accurate, low-pressure measurements at a more affordable price. The entire ½- to 30-inch H2O pressure sensor family is RoHS-compliant. The sensors are offered in a pc board mountable package with two pressure ports. Seven pressure ranges are available from ½ inch H2O full scale to 30 inch H2O full scale. They are available with a millivolt output proportional to either gage or differential pressure. Output offset errors are significantly reduced by electrical cross coupling compensation employed within the sensor.
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.