Arjun Earthperson

Generic Pressurized Water Reactor (PWR) Open-PSA Model. (2024, November 11). Zenodo. https://doi.org/10.5281/zenodo.14070453

Generic Pressurized Water Reactor (PWR) Open-PSA Model. (2024, November 11). Zenodo. https://doi.org/10.5281/zenodo.14070454

Generic Pressurized Water Reactor (PWR) SAPHSOLVE Model. (2024, October 26). Zenodo. https://doi.org/10.5281/zenodo.13996960

Generic Pressurized Water Reactor (PWR) SAPHSOLVE Model. (2024, October 26). Zenodo. https://doi.org/10.5281/zenodo.13996959

Synthetic Open-PSA Models. (2024, October 26). Zenodo. https://doi.org/10.5281/zenodo.13996371

Synthetic Open-PSA Models. (2024, October 26). Zenodo. https://doi.org/10.5281/zenodo.13996370

Synthetic SAPHSOLVE Models. (2024, October 26). Zenodo. https://doi.org/10.5281/zenodo.13996736

Synthetic SAPHSOLVE Models. (2024, October 26). Zenodo. https://doi.org/10.5281/zenodo.13996735

Earthperson, A., Otani, C. M., Nevius, D., Prescott, S. R., & Diaconeasa, M. A. (2023). A combined strategy for dynamic probabilistic risk assessment of fission battery designs using EMRALD and DEPM. Progress in Nuclear Energy, 160, 104673. https://doi.org/10.1016/j.pnucene.2023.104673

Pandit, P., Earthperson, A., Bao, H., & Diaconeasa, M. (2023). Analyzing Hardware and Software Common Cause Failures in Digital Instrumentation and Control Systems Using Dual Error Propagation Method. 18th International Probabilistic Safety Assessment and Analysis (PSA 2023). https://doi.org/10.13182/psa23-41062

Ramezani, R., Cao, M., Earthperson, A., & Naeim, A. (2023). Developing a Smartwatch-Based Healthcare Application: Notes to Consider. Sensors, 23(15), 6652. https://doi.org/10.3390/s23156652

Earthperson, A., & Diaconeasa, M. A. (2023, July 6). Dynamic Probabilistic Risk Assessment of Commercial-Off-The-Shelf Drones in Nuclear-Contaminated Search and Rescue Missions. https://doi.org/10.20944/preprints202307.0395.v1

Earthperson, A., & Diaconeasa, M. A. (2023). Integrating Commercial-Off-The-Shelf Components into Radiation-Hardened Drone Designs for Nuclear-Contaminated Search and Rescue Missions. DRONES, 7(8). https://doi.org/10.3390/drones7080528

Earthperson, A. (2023). Integrating Dual Error Propagation into Dynamic Event Trees to Support Fission Battery Probabilistic Risk Assessments (PhD thesis). North Carolina State University.

Earthperson, A., Pandit, P., & Diaconeasa, M. (2023). Introducing Multiple Control Paths in the Dual Error Propagation Graph for Stochastic Failure Analysis of Digital Instrumentation and Control Systems. Presented at the 18th International Probabilistic Safety Assessment and Analysis (PSA 2023), Knoxville, TN. https://doi.org/10.13182/psa23-41248

Earthperson, A., Aras, E. M., Farag, A. S., & Diaconeasa, M. A. (2023). Introducing OpenPRA: A Web-Based Framework for Collaborative Probabilistic Risk Assessment. Volume 13: Research Posters; Safety Engineering, Risk and Reliability Analysis, 13. https://doi.org/10.1115/imece2023-111708

Prins, M., O’Connell, T. M., Earthperson, A., Alzahrani, Y. A., & Diaconeasa, M. A. (2023). Leveraging Probabilistic Risk Assessment and Machine Learning for Safety and Cost Optimization in HAZMAT Transportation. Volume 13: Research Posters; Safety Engineering, Risk and Reliability Analysis. Presented at the ASME 2023 International Mechanical Engineering Congress and Exposition. https://doi.org/10.1115/imece2023-114273

Aras, E., Farag, A., Earthperson, A., & Diaconeasa, M. (2023). Method of Developing a SCRAM Parallel Engine for Efficient Quantification of Probabilistic Risk Assessment Models. 18th International Probabilistic Safety Assessment and Analysis (PSA 2023), 134–140. https://doi.org/10.13182/psa23-41054

Aras, E., Farag, A., Earthperson, A., & Diaconeasa, M. (2023). Methodology and Demonstration for Performance Analysis of a Probabilistic Risk Assessment Quantification Engine: SCRAM. 18th International Probabilistic Safety Assessment and Analysis (PSA 2023), 452–459. https://doi.org/10.13182/psa23-41053

Farag, A., Aras, E., Earthperson, A., Wood, S., Boyce, J., & Diaconeasa, M. (2023). Preliminary Benchmarking of SAPHSOLVE, XFTA, and SCRAM Using Synthetically Generated Fault Trees with Common Cause Failures. 18th International Probabilistic Safety Assessment and Analysis (PSA 2023), 40–49. https://doi.org/10.13182/psa23-41031

Pandit, P., Earthperson, A., Nevius, D., & Diaconeasa, M. (2023). Quantifying the Likelihood of Nuclear Supply Chain Shortage Risk. 18th International Probabilistic Safety Assessment and Analysis (PSA 2023). Presented at the 18th International Probabilistic Safety Assessment and Analysis (PSA 2023). https://doi.org/10.13182/psa23-41229

Aras, E. M., Farag, A. S., Earthperson, A., & Diaconeasa, M. A. (2022). Benchmark Study of XFTA and SCRAM Fault Tree Solvers Using Synthetically Generated Fault Trees Models. Volume 9: Mechanics of Solids, Structures, and Fluids; Micro- and Nano-Systems Engineering and Packaging; Safety Engineering, Risk, and Reliability Analysis; Research Posters, 9. https://doi.org/10.1115/imece2022-95783

Yang Hui Otani, C. M. ; Christian, R. ; Prescott, S. R. ; Diaconeasa, M. ; & Earthperson, A. (2022, April). Probabilistic Methods for Cyclical and Coupled Systems with Changing Failure Rates. Retrieved from https://www.osti.gov/biblio/1885929

Ndefru, B., Sankaran, K., Stewart, T., Mosleh, A., Earthperson, A., & Zawalick, N. (2022). Risk-Informed Decision-Making Tool for Covid-19 Community Behavior and Intervention Scenario Assessment. Proceedings of the 16th International Conference on Probabilistic Safety Assessment and Management (PSAM), 3. Curran Associates, Inc.

Pandit, P., Earthperson, A., Tezbasaran, A., & Diaconeasa, M. A. (2021). A Quantitative Approach to Assess the Likelihood of Supply Chain Shortages. Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, 13. https://doi.org/10.1115/imece2021-73696

Pandit, P., Tezbasaran, A., Earthperson, A., & Diaconeasa, M. A. (2021). Evaluating the Implementation of Distributed Ledger Technology for the Licensing and Regulation of Nuclear Power Plants. Volume 8B: Energy, 8B-2021. https://doi.org/10.1115/imece2021-71730

Rabiei, E., Huang, L., Chien, H.-Y., Earthperson, A., Diaconeasa, M. A., Woo, J., … Mosleh, A. (2021). Method and software platform for electronic COTS parts reliability estimation in space applications. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 235(5), 744–760. https://doi.org/10.1177/1748006X21998231

Earthperson, A., & Diaconeasa, M. A. (2021). Verification Study of the Nuclear PRA for the Mars 2020 Mission Following Accidental Orbital Re-Entry. https://doi.org/10.1115/imece2021-71359

Ramezani, R., Moatamed, B., Arjun, Naeim, A., & Sarrafzadeh, M. (2018). Subject assessment using localization, activity recognition and a smart questionnaire (U.S. Patent No. 20180190382).

Earthperson, A. (2017). DSP optimization techniques for LCDK with focus on IoT applications (Undergraduate Capstone Design Project). https://doi.org/10.13140/RG.2.2.20822.40008

Malavalli, R., Arjun, & Gupta, N. (2017, September). Indoor Localization Through Machine Learning on WiFi Fingerprints. Presented at the International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sapporo, Japan.

Bouchard, K., Ramezani, R., Arjun, & Naeim, A. (2016). Evaluation of Bluetooth beacons behavior. 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). Presented at the 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). https://doi.org/10.1109/uemcon.2016.7777846

Naeim, A., Ramezani, R., Arjun, Moatamed, B., & Sarrafzadeh, M. (2016). Indoor Health Monitoring System (U.S. Provisional Patent Application No. 62/330,730).

Moatamed, B., Arjun, Shahmohammadi, F., Ramezani, R., Naeim, A., & Sarrafzadeh, M. (2016). Low-cost indoor health monitoring system. 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN). Presented at the 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN). https://doi.org/10.1109/bsn.2016.7516252