Industrial PCs
Advanced microprocessor built out of carbon nanotubes
MIT researchers have developed an approach that harnesses the same fabrication processes used for silicon chips, offers key advance toward next-generation computers.
Tunable 2-D material developed for optoelectronics, advanced computing
Rice University researchers are developing 2-D transition metal dichalcogenides, which could be useful for optoelectronic applications and quantum computing.
Evaluate controller options for industrial applications
Choosing the best industrial controller requires evaluation of automation, communication and security needs.
Top 5 Control Engineering articles July 22-28
Articles about computer integration, data analytics, HMI safety, mobile devices, and smart manufacturing were Control Engineering’s five most clicked articles from July 22-28. Miss something? You can catch up here.
Tips for computer integration on the manufacturing floor
Installing computer systems can be an arduous process for new and existing manufacturing plants; basic best practices for enclosures can help companies avoid costly pitfalls and long-term challenges. See five tips for using computers on the plant floor.
Converging safety, non-safety systems increases scalability, flexibility
Integrating safety systems into a machine’s standard control platform simplifies operations, increases diagnostic capabilities and creates safer work environments for engineers and end users.
Benefits of test driven development for automation applications
Test driven development (TDD) is potentially useful for automation applications by eliminating the separate task of creating requirements and specifications by incorporating requirements into the test protocols.
CNC technology developments help engineers cut corners in all the right ways
Cover Story: Automation technologies continue convergence across platforms and computer numerical control (CNC) technology advances, along with faster control hardware and software, allow engineers to complete more accurate cuts in less time.
Framework developed to help deep neural network performance
North Carolina State University researchers have developed AOGNets, a framework for building deep neural networks that uses a compositional grammar approach to extract useful information from raw data.
Research examines computer software code understanding and documentation
A team of researchers at Texas A&M University looked at the best way to document computer code by using samples and found that good naming, and comment were more important than good documentation.