Manufacturing IT, MES

Figure 4: Wireless sensors were installed as part of a complete data-to-desk system, including powerful data visualization and analytics. Courtesy: Emerson
Asset Management December 3, 2019

Maximize production by monitoring erosion

Data from two complementary monitoring technologies enable maximized production rates, even with high entrained solids.

By Jake Davies, Ph.D.
Virtualization, Cloud Analytics November 18, 2019

Top 5 Control Engineering articles November 11-17

Articles about information and the cloud, control panel building tips, the Engineers' Choice finalists, control system migration, and the Motor Drives Study were Control Engineering’s five most clicked articles from November 11-17. Miss something? You can catch up here.

By Chris Vavra
MIT and Toyota researchers have designed a new model that weighs various uncertainties and risks to help autonomous vehicles determine when it’s safe to merge into traffic at intersections with objects obstructing views, such as buildings blocking the line of sight. Courtesy: Massachusetts Institute of Technology
AI and Machine Learning November 14, 2019

Model developed to help autonomous vehicles navigate traffic safely

MIT and Toyota researchers have designed a model designed to help autonomous vehicles determine when it’s safe to merge into traffic when the view is obstructed.

By Rob Matheson
Virtualization, Cloud Analytics November 11, 2019

Top 5 Control Engineering articles November 4-10

Articles about the Engineers' Choice finalists, information and the cloud, control system migration, wet and flooded motors, and IIoT project tips were Control Engineering’s five most clicked articles from November 4-10. Miss something? You can catch up here.

By Chris Vavra
OT-IT information integration looks at who needs data when, and why to make smarter decisions. Courtesy: CFE Media and Technology
IIoT, Industrie 4.0 November 9, 2019

Make the IT/OT data connection

From raw materials to finished goods, the data flowing between the information/operations technology (IT/OT) system layer is key to increased efficiency, quality and agility.

By Tim Gellner
AI and Machine Learning November 8, 2019

Artificial intelligence in construction can improve productivity

Researchers at Texas A&M University are working to bring artificial intelligence (AI) to the construction industry, which has the lowest productivity rate of any manufacturing industry.

By Deana Totzke
Figure 2: Real-time dashboards provide the information required for each level of the plant’s organization. Courtesy: Yokogawa Electric Corp.
Process Manufacturing November 4, 2019

Profit-driven operations require IT/OT integration

Maximizing process plant profits requires close integration across all levels of an organization.

By Yasunori Kobayashi
Image shows a printed micropillar forest submerged in the photopolymer resist prior to development. The forest contains 900 micropillars over a 7 mm × 7 mm area and was printed in less than 90 minutes as compared to more than a day of printing with serial techniques. Courtesy: Vu Nguyen and Sourabh Saha, Georgia Tech University
Discrete Manufacturing November 2, 2019

3-D printing technique accelerates nanoscale fabrication

Researchers from Georgia Tech have developed a nanoscale 3-D printing technique designed to fabricate tiny structures a thousand times faster than conventional two-photon lithography (TPL) techniques without sacrificing resolution.

By John Toon
Even if managing people and assets seems like “old hat,” field services software may help. Courtesy: Mark T. Hoske, CFE Media and Technology
Asset Management November 1, 2019

Get the right software purchasing fit for service requirements

Cover story: Software strategy: As companies’ field service offerings, managing people, hardware assets, and software brings additional challenges, field service management software must address the entire service lifecycle.

By Andrew Lichey
Funding from the National Science Foundation will help create technology-based solutions to support emergency response worker safety and performance. Courtesy: Justin Baetge, Texas A&M Engineering
AI and Machine Learning October 30, 2019

Improving emergency response operations with adaptive learning and robots

Researchers are working to accelerate the use of new technologies in emergency response by developing an adaptive mixed-reality learning platform designed to help first responders to perform their jobs safely and effectively.

By Alexandra Salazar