Aman Kumar

Works (6)

Updated: July 5th, 2023 15:15

2022 article

FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source

ArXiv.

By: A. Kumar* , A. Bharadwaj, B. Starly & C. Lynch

Contributors: A. Kumar* , A. Bharadwaj, B. Starly & C. Lynch

TL;DR: This paper has created a knowledge graph containing 65000+ triples using all data sources, and proposed a novel crowdsourcing method for KG creation by leveraging student notes, which contain invaluable information but are not captured as meaningful information. (via Semantic Scholar)
Source: ORCID
Added: January 18, 2023

2022 conference paper

FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source

SUKI 2022 - Workshop on Structured and Unstructured Knowledge Integration, Proceedings of the Workshop, 1–8. http://www.scopus.com/inward/record.url?eid=2-s2.0-85139121316&partnerID=MN8TOARS

By: A. Kumar , A. Bharadwaj, B. Starly & C. Lynch

Contributors: A. Kumar , A. Bharadwaj, B. Starly & C. Lynch

www.scopus.com
Source: ORCID
Added: January 18, 2023

2021 article

"FabNER": information extraction from manufacturing process science domain literature using named entity recognition

Kumar, A., & Starly, B. (2021, June 24). JOURNAL OF INTELLIGENT MANUFACTURING, Vol. 33.

By: A. Kumar n  & B. Starly n 

Contributors: A. Kumar n  & B. Starly n 

author keywords: NER; Technical language processing; TLP; Word2Vec; Topic modeling
TL;DR: This work presents a supervised machine learning approach to categorize unstructured text from 500K+ manufacturing science related scientific abstracts and labelling them under various manufacturing topic categories, using the developed NER model as a Technical Language Processing (TLP) workflow on manufacturing science documents. (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: June 24, 2021

2021 article

Textbook to triples: Creating knowledge graph in the form of triples from AI textbook

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85120030716&partnerID=MN8TOARS

By: A. Kumar  & S. Dinakaran

Contributors: A. Kumar  & S. Dinakaran

www.scopus.com
Source: ORCID
Added: January 18, 2023

2019 chapter

Design and Development of Cartridge-Based Automated Fluid Delivery System for Ball End Magnetorheological Finishing Process

By: Z. Alam *, D. Khan *, F. Iqbal *, A. Kumar*  & S. Jha *

author keywords: Fluid delivery system; Automated; Ball end; Magnetorheological; Finishing
TL;DR: A new fluid delivery system (FDS) is developed that supplies a precise amount of material-specific polishing fluid to finish different materials under varying finishing parameters by automated delivery of fluid stored in cylindrical-shaped cartridge. (via Semantic Scholar)
Source: ORCID
Added: November 7, 2019

2018 journal article

Nanofinishing of FDM-fabricated components using ball end magnetorheological finishing process

Materials and Manufacturing Processes, 34(2), 232–242.

By: A. Kumar* , Z. Alam *, D. Khan * & S. Jha *

Contributors: A. Kumar* , Z. Alam *, D. Khan * & S. Jha *

author keywords: Magnetorheological; ball; end; polishing; fluid; additive; manufacturing; surface; roughness
Sources: ORCID, Crossref, NC State University Libraries
Added: August 16, 2019

Employment

Updated: June 15th, 2024 20:09

2023 - present

Hitachi America Ltd Santa Clara, California, US

2016 - 2018

Indian Institute of Technology Delhi New Delhi, Delhi, IN
Research Assistant

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.