Data Acquisition
Machine-learning algorithms used to make agriculture taste better
MIT researchers have developed a method using machine learning to reveal optimal growing conditions to maximize taste and other features.
Researchers develop architecture to reduce data center energy and space constraints
MIT researchers have developer a flash-storage system designed to cut the energy and physical space required to store and manage data in data centers by half.
Top 5 Control Engineering articles March 18-24
Articles about low-power hybrid chips for robots, gaining the edge in automation, connecting quality and process data, manufacturing and process facility trends, and the Engineers' Choice Awards were Control Engineering’s five most clicked articles from March 18-24. Miss something? You can catch up here.
Connecting quality data to process data
Using advanced analytics can help assure product quality and overall operational efficiencies. See case study example.
Resolve five Big Data, data acquisition challenges
Demystify the need for Big Data and five related challenges: data structure, scalability, integration, storage, and upgrades.
Automation trends, insights from a new company president
Companies need to be open to new technologies to see fundamental paradigm shifts in productivity, beyond incremental improvements. Rapid increases in productivity, visibility, flexibility, and agility are needed.
Six ways data acquisition strategies can support advanced analytics
Some applications require data acquisition strategies without cloud connectivity, but they can still benefit from advanced analytics technology.
Big Data analysis or data acquisition?
Centralized data architectures are adapting to new opportunities for data collection and analytics.
Process automation device model endorsed by standards groups
FieldComm Group's process automation device information model specification (PA-DIM) has been endorsed by the OPC Foundation, and Profibus & Profinet International (PI).
Filter out the noise: strategies to avoid excessive data and spikes
New software and input/output (I/O) devices can help users eliminate useless data through effective diagnostics, error localization and filter designs to extract accurate figures.