Speaker
Description
The electronic logbook (elog) system used at Brookhaven National Laboratory’s Collider-Accelerator Department (C-AD) allows users to customize logbook settings, including specification of favorite logbooks. Using machine learning techniques, configurations can be further personalized to provide users with a view of entries that match their specific interests. Natural language processing (NLP) models are used to augment the elog system by classifying and finding similarities in entries. A command line interface tool is used to ease automation of NLP tasks in the controls system. A test web interface will be developed for users to enter phrases, terms, and sentences as search terms for the NLP models. The website will return useful information about a given search term. This technique will create recommendations for each user, filtering out unnecessary results generated by current search techniques.
| Primary Keyword | AI-based controls |
|---|---|
| Secondary Keyword | AI-based controls |
| Tertiary Keyword | AI-based controls |
