A REAL TIME COAL CONTENT ORE GRADE (C2OG) SENSOR | Zendy

Rand Swanson | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A REAL TIME COAL CONTENT ORE GRADE (C2OG) SENSOR

Author(s) -

Rand Swanson

Publication year - 2003

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/820418

Subject(s) - coal , software , work (physics) , computer science , talc , engineering , waste management , operating system , mechanical engineering , metallurgy , materials science

This seventh quarterly technical report discusses the progress made on a machine vision technique for determining coal content and ore grades. Considerable progress has been made on coal analysis. Naval Research Laboratory (NRL) target recognition software has been tested and incorporated into the system. This software decreases analysis time considerably and is more intuitive to use. Work with board-level computers has proceeded well; ultimately this will make the technology more compact and fieldable. Work with talc will be delayed because the graduate student working on this project is leaving the program. Ongoing work is devoted to more detailed coal analysis, improving the software interface, and developing procedures and a users manual

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research