In addition to lower material costs, high volume processing technologies such as injection molding and extrusion are responsible for the cost savings of polymers over metals.
The use of Cumulus or similar programmes is labour intensive and requires thorough operator training, making it unsuitable for high volume processing.
The adaptation of the optimized conditions for higher volume processing is also demonstrated.
CATALINA MARKETING CORP., Farmingdale, N.J., which provides marketing research, said it would sell its card and data-entry services business to Capture Resource Inc., Bristol, Pa., which offers data entry services and high-volume mail processing and document scanning.
Features such as high-volume stream-processing, intermediate checkpointing and load distribution make the design viable for more general streaming data processing applications.
A Smart Manufacturing (SM) system should be capable of handling high volume data, processing high velocity data and manipulating high variety data.
The model should also prove useful for high-volume, in-line processing and inspection of nanomembranes as their role becomes more prominent in industry.
Aligned with the aforementioned requirements, applications in the field of data stream processing require continuous and timely processing of high-volume of data, originated from a myriad of distributed (and possibly mobile) sources, to obtain online notifications from complex queries over the steady flow of data items [18 20].
Selective, consistent separation, and the increased product yield in combination with a low energy consumption have made cross-flow filtration a suitable technique for the downstream processing of high-volume chemicals obtained from petrochemicals and fermentation processes (Abels et al. 2013).
Our state was once a major center for heavy industry, foundries, machine shops, chemical and food processing facilities, high-volume metal, plastic, ceramics, electrical components and similar product-producing enterprises.
Event stream processing has recently emerged as a popular paradigm for implementing high-volume distributed (near- real time data processinear- realtimes.
