Jaime A. Camelio
Affiliations: | Mechanical Engineering-Engineering Mechanics | Michigan Technological University, USA |
Area:
Industrial Engineering, Mechanical EngineeringGoogle:
"Jaime Camelio"
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Publications
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Hedberg TD, Manas B, Camelio JA. (2020) Using graphs to link data across the product lifecycle for enabling smart manufacturing digital threads. Journal of Computing and Information Science in Engineering. 20 |
Elhabashy AE, Wells LJ, Camelio JA. (2020) Cyber-physical attack vulnerabilities in manufacturing quality control tools Quality Engineering. 1-17 |
Wells LJ, Dastoorian R, Camelio JA. (2020) A novel NURBS surface approach to statistically monitor manufacturing processes with point cloud data Journal of Intelligent Manufacturing |
Hedberg TD, Krima S, Camelio JA. (2019) Method for enabling a root of trust in support of product-data certification and traceability. Journal of Computing and Information Science in Engineering. 19 |
Elhabashy AE, Wells LJ, Camelio JA. (2019) Cyber-Physical Security Research Efforts in Manufacturing – A Literature Review Procedia Manufacturing. 34: 921-931 |
Komolafe T, Tian W, Purdy GT, et al. (2019) Repeatable part authentication using impedance based analysis for side-channel monitoring Journal of Manufacturing Systems. 51: 42-51 |
Elhabashy AE, Wells LJ, Camelio JA, et al. (2018) A cyber-physical attack taxonomy for production systems: a quality control perspective Journal of Intelligent Manufacturing. 30: 2489-2504 |
Hedberg T, Feeney AB, Helu M, et al. (2017) Towards a Lifecycle Information Framework and Technology in Manufacturing. Journal of Computing and Information Science in Engineering. 17 |
Hedberg TD, Krima S, Camelio JA. (2017) Embedding X.509 Digital Certificates in Three-Dimensional Models for Authentication, Authorization, and Traceability of Product Data. Journal of Computing and Information Science in Engineering. 17 |
Pan Y, White J, Schmidt DC, et al. (2017) Taxonomies for Reasoning About Cyber-physical Attacks in IoT-based Manufacturing Systems International Journal of Interactive Multimedia and Artificial Intelligence. 4: 45-54 |