| Title |
Enhancing Electronic Logbooks Using Machine Learning |
| Authors |
- J. Maldonado, S.L. Clarkpresenter, W. Fu, S. Nemesure
BNL, Upton, New York, USA
|
| Abstract |
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, customizations can be further personalized to provide users with a view of entries that match their specific interests. We will utilize natural language processing (NLP), optical character recognition (OCR), and topic models to augment the elog system. NLP techniques will be used to process and classify text entries. To analyze entries including images with text, such as screenshots of controls system applications, we will apply OCR. Topic models will generate entry recommendations that will be compared to previously tested language processing models. We will develop a command line interface tool to ease automation of NLP tasks in the controls system and create a web interface to test entry recommendations. This technique will create recommendations for each user, providing custom sets of entries and possibly eliminate the need for manual searching.
|
| Funding |
Work supported by Brookhaven Science Associates, LLC under Contract No. DE-SC0012704 |
| Paper |
download TUMBCMO15.PDF [1.448 MB / 4 pages] |
| Slides |
download TUMBCMO15_TALK.PDF [0.900 MB] |
| Poster |
download TUMBCMO15_POSTER.PDF [4.692 MB] |
| Cite |
download ※ BibTeX
※ LaTeX
※ Text/Word
※ RIS
※ EndNote |
| Conference |
ICALEPCS2023 |
| Series |
International Conference on Accelerator and Large Experimental Physics Control Systems (19th) |
| Location |
Cape Town, South Africa |
| Date |
09-13 October 2023 |
| Publisher |
JACoW Publishing, Geneva, Switzerland |
| Editorial Board |
Volker RW Schaa (GSI, Darmstadt, Germany); Andy Götz (ESRF, Grenoble, France); Johan Venter (SARAO, Cape Town, South Africa); Karen White (SNS, Oak Ridge, TN, USA); Marie Robichon (ESRF, Grenoble, France); Vivienne Rowland (SARAO, Cape Town, South Africa) |
| Online ISBN |
978-3-95450-238-7 |
| Online ISSN |
2226-0358 |
| Received |
04 October 2023 |
| Revised |
12 October 2023 |
| Accepted |
24 November 2023 |
| Issued/td>
| 10 December 2023 |
| DOI |
doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO15 |
| Pages |
382-385 |
| Copyright |
 Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |
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