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Proceedings Papers

Explainability of Laser Powder Bed Fusion Melt Pool Classification Using Deep Learning

Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Paul Witherell
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A054, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-109137
https://doi.org/10.1115/DETC2023-109137
View Paper titled, Explainability of Laser Powder Bed Fusion Melt Pool Classification Using Deep Learning
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Topics: Additive manufacturing, Artificial intelligence, Artificial neural networks, Lasers, Manufacturing, Machine learning, Shapes, Decision making, Machinery, Metals
Proceedings Papers

Dated: Guidelines for Creating Synthetic Datasets for Engineering Design Applications

Cyril Picard, Jürg Schiffmann, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A015, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-111609
https://doi.org/10.1115/DETC2023-111609
View Paper titled, Dated: Guidelines for Creating Synthetic Datasets for Engineering Design Applications
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Topics: Engineering design, Artificial intelligence, Compressors, Design, Sampling methods, Tradeoffs, Turbochargers
Proceedings Papers

VariableTypography: Artificial Intelligence Augmented Reading Experience

Shuhui Shi, Weitao You, Kaixin Han, Jinyu Song, Lingyun Sun
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A088, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114811
https://doi.org/10.1115/DETC2023-114811
View Paper titled, VariableTypography: Artificial Intelligence Augmented Reading Experience
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Topics: Artificial intelligence
Proceedings Papers

Transfer Reinforcement Learning: Feature Transferability in Ship Collision Avoidance

Xinrui Wang, Yan Jin
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A071, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116709
https://doi.org/10.1115/DETC2023-116709
View Paper titled, Transfer Reinforcement Learning: Feature Transferability in Ship Collision Avoidance
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Topics: Artificial intelligence, Collisions (Physics), Reinforcement learning, Ships
Proceedings Papers

Adaptation and Challenges in Human-AI Partnership for the Design of Complex Engineering Systems

Zeda Xu, Chloe Hong, Nicolás F. Soria Zurita, Joshua T. Gyory, Gary Stump, Hannah Nolte, Jonathan Cagan, Christopher McComb
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A056, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115176
https://doi.org/10.1115/DETC2023-115176
View Paper titled, Adaptation and Challenges in Human-AI Partnership for the Design of Complex Engineering Systems
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Topics: Design, Engineering systems and industry applications, Teams, Shock (Mechanics), Artificial intelligence, Engineering design
Proceedings Papers

Toward Artificial Empathy for Human-Centered Design: A Framework

Qihao Zhu, Jianxi Luo
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A072, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117266
https://doi.org/10.1115/DETC2023-117266
View Paper titled, Toward Artificial Empathy for Human-Centered Design: A Framework
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Topics: Artificial intelligence, Design
Proceedings Papers

Off-Board Testing Device for Battery Diagnostics and Market Analysis for Battery Reuse

Alberto Ponso, Angelo Bonfitto, Mario Silvagni, Sara Luciani
Proc. ASME. IDETC-CIE2023, Volume 1: 25th International Conference on Advanced Vehicle Technologies (AVT), V001T01A009, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116596
https://doi.org/10.1115/DETC2023-116596
View Paper titled, Off-Board Testing Device for Battery Diagnostics and Market Analysis for Battery Reuse
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Topics: Batteries, Manufacturing, Testing, Traction, Algorithms, Artificial intelligence, Artificial neural networks, Design, Electric vehicles, Emissions
Proceedings Papers

Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles

Sara Luciani, Stefano Feraco, Angelo Bonfitto, Nicola Amati, Andrea Tonoli, Maurizio Quaggiotto
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A015, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89512
https://doi.org/10.1115/DETC2022-89512
View Paper titled, Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles
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Topics: Artificial intelligence, Artificial neural networks, Construction equipment, Lead-acid batteries
Proceedings Papers

Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications

Sara Luciani, Stefano Feraco, Mario Silvagni, Angelo Bonfitto, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A014, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89454
https://doi.org/10.1115/DETC2022-89454
View Paper titled, Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications
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Topics: Artificial intelligence, Artificial neural networks, Lithium-ion batteries, Support vector machines
Proceedings Papers

Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves

Leah Chong, Ayush Raina, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan
Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A021, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88574
https://doi.org/10.1115/DETC2022-88574
View Paper titled, Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves
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Topics: Artificial intelligence, Collaboration, Decision making, Design
Proceedings Papers

Triggered: Using Human-AI Dialogue for Problem Understanding in Collaborative Design

Anne Arzberger, Vera van der Burg, Senthil Chandrasegaran, Peter Lloyd
Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A038, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89273
https://doi.org/10.1115/DETC2022-89273
View Paper titled, Triggered: Using Human-AI Dialogue for Problem Understanding in Collaborative Design
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Topics: Design, Artificial intelligence, Engineers, Generators, Machine learning, Space, Trains
Proceedings Papers

The Impact of a Strategy of Deception About the Identity of an Artificial Intelligence Teammate on Human Designers

Guanglu Zhang, Ayush Raina, Ethan Brownell, Jonathan Cagan
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A017, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88535
https://doi.org/10.1115/DETC2022-88535
View Paper titled, The Impact of a Strategy of Deception About the Identity of an Artificial Intelligence Teammate on Human Designers
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Topics: Artificial intelligence, Engineering design, Teams
Proceedings Papers

A Real-Time Artificial Intelligence Process Manager for Engineering Design

Joshua T. Gyory, Nicolás F. Soria Zurita, Jay D. Martin, Corey M. Balon, Christopher McComb, Kenneth Kotovsky, Jonathan Cagan
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A018, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88609
https://doi.org/10.1115/DETC2022-88609
View Paper titled, A Real-Time Artificial Intelligence Process Manager for Engineering Design
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Topics: Artificial intelligence, Engineering design, Teams, Design, Performance, Path planning
Proceedings Papers

Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces

Ayush Raina, Jonathan Cagan, Christopher McComb
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A043, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89740
https://doi.org/10.1115/DETC2022-89740
View Paper titled, Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces
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Topics: Design, Space, Algorithms, Artificial intelligence, Boundary-value problems, Data-driven design, Design automation, Trusses (Building)
Proceedings Papers

A Graph Neural Network Approach for Product Relationship Prediction

Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A036, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69462
https://doi.org/10.1115/DETC2021-69462
View Paper titled, A Graph Neural Network Approach for Product Relationship Prediction
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Topics: Artificial neural networks, Artificial intelligence, Automobiles, Design, Drugs, Engineering systems and industry applications, Machine learning, Modeling, Network analysis, Optimization
Proceedings Papers

Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process

Binyang Song, Nicolás F. Soria Zurita, Hannah Nolte, Harshika Singh, Jonathan Cagan, Christopher McComb
Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A055, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70467
https://doi.org/10.1115/DETC2021-70467
View Paper titled, Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process
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Topics: Artificial intelligence, Design, Engineering design
Proceedings Papers

A Feature Encoding Approach and a Cloud Computing Architecture to Map Fishing Activities

A. Galdelli, A. Mancini, E. Frontoni, A. N. Tassetti
Proc. ASME. IDETC-CIE2021, Volume 7: 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), V007T07A003, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69799
https://doi.org/10.1115/DETC2021-69799
View Paper titled, A Feature Encoding Approach and a Cloud Computing Architecture to Map Fishing Activities
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Topics: Cloud computing, Encryption, Vessels, Artificial intelligence, Boats, Chain, Design, Monitoring systems, Seas, Shorelines
Proceedings Papers

Edge Artificial Intelligence: A Multi-Camera Video Surveillance Application

Daniele Berardini, Adriano Mancini, Primo Zingaretti, Sara Moccia
Proc. ASME. IDETC-CIE2021, Volume 7: 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), V007T07A006, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70738
https://doi.org/10.1115/DETC2021-70738
View Paper titled, Edge Artificial Intelligence: A Multi-Camera Video Surveillance Application
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Topics: Artificial intelligence, Surveillance, Sensors, Emergencies, Monitoring systems
Proceedings Papers

Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios

Aaron Young, Jay Taves, Asher Elmquist, Radu Serban, Dan Negrut, Simone Benatti, Alessandro Tasora
Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A022, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-67070
https://doi.org/10.1115/DETC2021-67070
View Paper titled, Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios
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Topics: Artificial intelligence, Mechanical admittance, Physics, Roads, Simulation, Sensors, Testing, Engines, Vehicles, American Petroleum Institute
Proceedings Papers

Data-Driven Design-by-Analogy: State of the Art

Shuo Jiang, Jie Hu, Jianxi Luo
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A028, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-68669
https://doi.org/10.1115/DETC2021-68669
View Paper titled, Data-Driven Design-by-Analogy: State of the Art
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Topics: Artificial intelligence, Data-driven design, Design