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Proceedings Papers

Data-Driven Modeling Adaptive Aerostructures

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James Roetzer, Hunter Boik, Ben Janke, Xingjie Li, John Hall
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A031, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-145979
https://doi.org/10.1115/DETC2024-145979
View Paper titled, Data-Driven Modeling Adaptive Aerostructures
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Topics: Modeling, Wind energy, Turbines, Errors, Optimization, Artificial neural networks, Blades, Engineering simulation, Machinery, Particle swarm optimization
Proceedings Papers

Predicting the Quantity of Recycled End-of-Life Products Using a Hybrid SVR-Based Model

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Hanbing Xia, Ji Han, Jelena Milisavljevic-Syed
Proc. ASME. IDETC-CIE2023, Volume 5: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A009, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114718
https://doi.org/10.1115/DETC2023-114718
View Paper titled, Predicting the Quantity of Recycled End-of-Life Products Using a Hybrid SVR-Based Model
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Topics: Algorithms, Approximation, Chaos, Design, Diffusion (Physics), Logistics, Machine learning, Particle swarm optimization, Recycling, Resource allocation
Proceedings Papers

A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Model Inconsistency

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Bharath Pidaparthi, Samy Missoum
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A030, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90115
https://doi.org/10.1115/DETC2022-90115
View Paper titled, A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Model Inconsistency
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Topics: Failure, Heat exchangers, Probability, Reliability, Support vector machines
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

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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

A Constraint-Handling Technique for Parametric Optimization and Control Co-Design

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Ying-Kuan Tsai, Richard J. Malak, Jr.
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A009, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89957
https://doi.org/10.1115/DETC2022-89957
View Paper titled, A Constraint-Handling Technique for Parametric Optimization and Control Co-Design
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Topics: Design, Optimization, Genetic algorithms, Pendulums, Support vector machines, Algorithms, Control equipment, Control systems, Dynamics (Mechanics), Machine learning
Proceedings Papers

A Study of Machine Learning Framework for Enabling Early Defect Detection in Wire Arc Additive Manufacturing Processes

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Nowrin Akter Surovi, Shaista Hussain, Gim Song Soh
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A002, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89164
https://doi.org/10.1115/DETC2022-89164
View Paper titled, A Study of Machine Learning Framework for Enabling Early Defect Detection in Wire Arc Additive Manufacturing Processes
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Topics: Additive manufacturing, Flaw detection, Machine learning, Wire, Acoustics, Printing, Support vector machines, Pressure
Proceedings Papers

Gait Prediction and Mechanism Design for 1-DOF Lower Limb Rehabilitation Devices Based on Machine Learning

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Wanbing Song, Yating Zhang, Zhaojie Ge, Ping Zhao
Proc. ASME. IDETC-CIE2021, Volume 8A: 45th Mechanisms and Robotics Conference (MR), V08AT08A045, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70009
https://doi.org/10.1115/DETC2021-70009
View Paper titled, Gait Prediction and Mechanism Design for 1-DOF Lower Limb Rehabilitation Devices Based on Machine Learning
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Topics: Design, Machine learning, Patient rehabilitation, Rehabilitation devices, Trajectories (Physics), Algorithms, Machinery, Shapes, Support vector machines, Trains
Proceedings Papers

Towards Transparent Motion Planning of Wearable Rehabilitation Exoskeletons via Model-Based Estimation

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Jiamin Wang, David Blankenship, Oumar Barry
Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A030, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70011
https://doi.org/10.1115/DETC2021-70011
View Paper titled, Towards Transparent Motion Planning of Wearable Rehabilitation Exoskeletons via Model-Based Estimation
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Topics: Exoskeleton devices, Path planning, Transparency, Algorithms, Delays, Optimization, Signals, Stress, Control equipment, Design
Proceedings Papers

Exploiting Multi-Modal Sensing for Increased Detection Fidelity of Pipeline Leakage

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Apeksha Lanjile, Mohamed Younis, Seung-Jun Kim, Soobum Lee
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A017, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97553
https://doi.org/10.1115/DETC2019-97553
View Paper titled, Exploiting Multi-Modal Sensing for Increased Detection Fidelity of Pipeline Leakage
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Topics: Leakage, Pipelines, Acoustics, Pipes, Sensors, Accelerometers, Corrosion, Cracking (Materials), Damage, Fluids
Proceedings Papers

Human Computer Interface Using Electroencephalography for Driver Behavior Classification

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Vamsi K. Manchala, Alvaro V. Clara, Susheelkumar C. Subramanian, Sangram Redkar, Thomas Sugar
Proc. ASME. IDETC-CIE2019, Volume 3: 21st International Conference on Advanced Vehicle Technologies; 16th International Conference on Design Education, V003T01A014, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97540
https://doi.org/10.1115/DETC2019-97540
View Paper titled, Human Computer Interface Using Electroencephalography for Driver Behavior Classification
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Topics: Electroencephalography, User interfaces, Vehicles, Artificial neural networks, Machine learning, Support vector machines, Brain, Computers
Proceedings Papers

Predicting Multi-Disciplinary Design Performance Utilizing Automated Topic Discovery

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Zachary Ball, Kemper Lewis
Proc. ASME. IDETC-CIE2019, Volume 7: 31st International Conference on Design Theory and Methodology, V007T06A053, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97189
https://doi.org/10.1115/DETC2019-97189
View Paper titled, Predicting Multi-Disciplinary Design Performance Utilizing Automated Topic Discovery
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Topics: Design, Algorithms, Engineering design, Collaboration, Competencies, Engineering design processes, Engineering disciplines, Students, Support vector machines, Teams
Proceedings Papers

Dimensional Prediction for FDM Machines Using Artificial Neural Network and Support Vector Regression

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Jiaqi Lyu, Souran Manoochehri
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A033, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97963
https://doi.org/10.1115/DETC2019-97963
View Paper titled, Dimensional Prediction for FDM Machines Using Artificial Neural Network and Support Vector Regression
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Topics: Artificial neural networks, Machinery, Modeling, Support vector machines
Proceedings Papers

A Multi-Objective Robust Optimization Approach Under Interval Uncertainty Based on Kriging and Support Vector Machine

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Tingli Xie, Ping Jiang, Qi Zhou, Leshi Shu, Yang Yang
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A036, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86237
https://doi.org/10.1115/DETC2018-86237
View Paper titled, A Multi-Objective Robust Optimization Approach Under Interval Uncertainty Based on Kriging and Support Vector Machine
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Topics: Optimization, Support vector machines, Uncertainty, Design, Engineering design, Engineering simulation, Simulation, Vehicles
Proceedings Papers

Automatic Postprocessing of Topology Optimization Solutions by Using Support Vector Machines

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Niclas Strömberg
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A001, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85051
https://doi.org/10.1115/DETC2018-85051
View Paper titled, Automatic Postprocessing of Topology Optimization Solutions by Using Support Vector Machines
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Topics: Optimization, Support vector machines, Topology, Computer-aided design, Density, Computer software, Design, Engineers, Filters, Modeling
Proceedings Papers

Comparing Machine Learning Regression Techniques for Transmission-Related Storm Outages

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Caitlyn E. Clark, Bryony DuPont
Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A024, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85127
https://doi.org/10.1115/DETC2018-85127
View Paper titled, Comparing Machine Learning Regression Techniques for Transmission-Related Storm Outages
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Topics: Machine learning, Storms, Polynomials, Cost benefit analysis, Probability, Risk, Shorelines, Support vector machines
Proceedings Papers

Short-Term Load Forecasting With Different Aggregation Strategies

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Cong Feng, Jie Zhang
Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A019, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86084
https://doi.org/10.1115/DETC2018-86084
View Paper titled, Short-Term Load Forecasting With Different Aggregation Strategies
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Topics: Load forecasting, Stress, Algorithms, Artificial neural networks, Machine learning, Machinery, Power systems (Machinery), Robustness, Structures, Support vector machines
Proceedings Papers

High Degree of Freedom Hand Pose Tracking Using Limited Strain Sensing and Optical Training

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Wentai Zhang, Jonelle Z. Yu, Fangcheng Zhu, Yifang Zhu, Nurcan Gecer Ulu, Batuhan Arisoy, Levent Burak Kara
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A019, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85870
https://doi.org/10.1115/DETC2018-85870
View Paper titled, High Degree of Freedom Hand Pose Tracking Using Limited Strain Sensing and Optical Training
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Topics: Artificial neural networks, Control equipment, Degrees of freedom, Feedforward control, Manufacturing, Optimization, Sensors, Strain gages, Strain sensors, Support vector machines
Proceedings Papers

Application of Audible Sound Signals for Tool Wear Monitoring and Workpiece Hardness Identification in Gear Milling Using Machine Learning Techniques

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Achyuth Kothuru, Sai Prasad Nooka, Patricia Iglesias Victoria, Rui Liu
Proc. ASME. IDETC-CIE2017, Volume 10: 2017 ASME International Power Transmission and Gearing Conference, V010T11A030, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-68067
https://doi.org/10.1115/DETC2017-68067
View Paper titled, Application of Audible Sound Signals for Tool Wear Monitoring and Workpiece Hardness Identification in Gear Milling Using Machine Learning Techniques
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Topics: Gears, Machine learning, Milling, Signals, Wear, Cutting, Cutting tools, Machining, Support vector machines, Algorithms
Proceedings Papers

From Mining Affective States to Mining Facial Keypoint Data: The Quest Towards Personalized Feedback

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Christian E. Lopez, Conrad S. Tucker
Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A039, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67340
https://doi.org/10.1115/DETC2017-67340
View Paper titled, From Mining Affective States to Mining Facial Keypoint Data: The Quest Towards Personalized Feedback
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Topics: Feedback, Mining, Machine learning, Support vector machines, Workshops (Work spaces)
Proceedings Papers

3D Machined Surface Topography Forecasting With Space-Time Multioutput Support Vector Regression Using High Definition Metrology

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Yiping Shao, Shichang Du, Lifeng Xi
Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A069, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67155
https://doi.org/10.1115/DETC2017-67155
View Paper titled, 3D Machined Surface Topography Forecasting With Space-Time Multioutput Support Vector Regression Using High Definition Metrology
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Topics: Metrology, Spacetime, Support vector machines, Engine cylinders, Manufacturing, Milling