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Proceedings Papers

Parameter Extraction From Images Using Multilabel Supervised Learning

Jessica Ezemba, James D. Cunningham, Conrad S. Tucker
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A022, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116501
https://doi.org/10.1115/DETC2023-116501
View Paper titled, Parameter Extraction From Images Using Multilabel Supervised Learning
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Topics: Design, Design methodology, Engineering design, Engineering systems and industry applications
Proceedings Papers

Multi-Context Generation in Virtual Reality Environments Using Deep Reinforcement Learning

James Cunningham, Christian Lopez, Omar Ashour, Conrad S. Tucker
Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A072, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22624
https://doi.org/10.1115/DETC2020-22624
View Paper titled, Multi-Context Generation in Virtual Reality Environments Using Deep Reinforcement Learning
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Topics: Virtual reality, Production facilities, Statistical distributions
Journal Articles

Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments

Christian E. López, James Cunningham, Omar Ashour, Conrad S. Tucker
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051005.
Paper No: JCISE-19-1276
https://doi.org/10.1115/1.4046293
Published Online: June 3, 2020
View Article titled, Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments
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Topics: Algorithms, Reinforcement learning, Simulation, Trains, Virtual reality, Machine learning
Journal Articles

Detection of System Compromise in Additive Manufacturing Using Video Motion Magnification

Sakthi Kumar Arul Prakash, Tobias Mahan, Glen Williams, Christopher McComb, Jessica Menold, Conrad S. Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2020, 142(3): 031109.
Paper No: MD-19-1429
https://doi.org/10.1115/1.4045547
Published Online: December 23, 2019
View Article titled, Detection of System Compromise in Additive Manufacturing Using Video Motion Magnification
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Topics: Additive manufacturing, Computer security, Magnification, Printing, Data collection, Tensile testing, Errors, Image processing
Journal Articles

3D Design Using Generative Adversarial Networks and Physics-Based Validation

Dule Shu, James Cunningham, Gary Stump, Simon W. Miller, Michael A. Yukish, Timothy W. Simpson, Conrad S. Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2020, 142(7): 071701.
Paper No: MD-19-1242
https://doi.org/10.1115/1.4045419
Published Online: November 28, 2019
View Article titled, 3D Design Using Generative Adversarial Networks and Physics-Based Validation
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Topics: Design, Physics, Aircraft, Simulation
Proceedings Papers

Deep Reinforcement Learning for Transfer of Control Policies

James D. Cunningham, Simon W. Miller, Michael A. Yukish, Timothy W. Simpson, Conrad S. Tucker
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A003, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97689
https://doi.org/10.1115/DETC2019-97689
View Paper titled, Deep Reinforcement Learning for Transfer of Control Policies
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Topics: Aircraft, Design, Robust control, Rotors, Simulation
Proceedings Papers

On the Analysis of a Compromised Additive Manufacturing System Using Spatio-Temporal Decomposition

Sakthi Kumar Arul Prakash, Tobias Mahan, Glen Williams, Christopher McComb, Jessica Menold, Conrad S. Tucker
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A018, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97732
https://doi.org/10.1115/DETC2019-97732
View Paper titled, On the Analysis of a Compromised Additive Manufacturing System Using Spatio-Temporal Decomposition
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Topics: Additive manufacturing, Errors, Computer software, Cyber-physical systems, End effectors, Engineering prototypes, Failure, Hardware, Optical quality control, Printing
Proceedings Papers

Reinforcement Learning Content Generation for Virtual Reality Applications

Christian E. Lopez, Omar Ashour, Conrad S. Tucker
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A009, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97711
https://doi.org/10.1115/DETC2019-97711
View Paper titled, Reinforcement Learning Content Generation for Virtual Reality Applications
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Topics: Virtual reality
Proceedings Papers

Semantic Network Differences Across Engineering Design Communication Methods

Christian E. Lopez, Zixuan V. Zhao, Conrad S. Tucker
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A030, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97728
https://doi.org/10.1115/DETC2019-97728
View Paper titled, Semantic Network Differences Across Engineering Design Communication Methods
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Topics: Creativity, Design, Engineering design, Text analytics
Journal Articles

Evaluating the Use of Virtual Reality to Teach Introductory Concepts of Additive Manufacturing

John K. Ostrander, Conrad S. Tucker, Timothy W. Simpson, Nicholas A. Meisel
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2020, 142(5): 051702.
Paper No: MD-18-1878
https://doi.org/10.1115/1.4044006
Published Online: November 11, 2019
View Article titled, Evaluating the Use of Virtual Reality to Teach Introductory Concepts of Additive Manufacturing
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Topics: Additive manufacturing, Virtual reality, Education
Includes: Supplementary data
Journal Articles

An Investigation of Surrogate Models for Efficient Performance-Based Decoding of 3D Point Clouds

James D. Cunningham, Timothy W. Simpson, Conrad S. Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121401.
Paper No: MD-19-1171
https://doi.org/10.1115/1.4044597
Published Online: September 27, 2019
View Article titled, An Investigation of Surrogate Models for Efficient Performance-Based Decoding of 3D Point Clouds
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Topics: Aircraft, Artificial neural networks, Modeling, Three-dimensional models, Simulation, Drag (Fluid dynamics), Design, Errors
Journal Articles

Evaluating the Impact of Idea Dissemination Methods on Information Loss

Zixuan Victoria Zhao, Christian E. Lopez, Conrad S. Tucker
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research-Article
J. Comput. Inf. Sci. Eng. September 2019, 19(3): 031006.
Paper No: JCISE-18-1247
https://doi.org/10.1115/1.4042553
Published Online: March 18, 2019
View Article titled, Evaluating the Impact of Idea Dissemination Methods on Information Loss
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Topics: Design, Control equipment, Engineering design processes
Journal Articles

Exploring Biases Between Human and Machine Generated Designs

Christian E. Lopez, Scarlett R. Miller, Conrad S. Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. February 2019, 141(2): 021104.
Paper No: MD-18-1525
https://doi.org/10.1115/1.4041857
Published Online: December 20, 2018
View Article titled, Exploring Biases Between Human and Machine Generated Designs
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Topics: Boats, Computer simulation, Computers, Design, Machinery, Physics
Proceedings Papers

Categorization of Information Loss During the Dissemination of Design Ideas

Victoria Zhao, Conrad S. Tucker
Proc. ASME. IDETC-CIE2018, Volume 1A: 38th Computers and Information in Engineering Conference, V01AT02A033, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86100
https://doi.org/10.1115/DETC2018-86100
View Paper titled, Categorization of Information Loss During the Dissemination of Design Ideas
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Topics: Design, Engineering design processes, Engineering design, Entropy, Risk
Proceedings Papers

Real-Time Occlusion Between Real and Digital Objects in Augmented Reality

Kevin Lesniak, Conrad S. Tucker
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A026, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86346
https://doi.org/10.1115/DETC2018-86346
View Paper titled, Real-Time Occlusion Between Real and Digital Objects in Augmented Reality
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Topics: Errors, Rendering, Virtual reality
Proceedings Papers

A Deep Learning Model for Mining Object-Energy Correlations Using Social Media Image Data

Matthew Dering, Chonghan Lee, Kenneth M. Hopkinson, Conrad S. Tucker
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A017, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85417
https://doi.org/10.1115/DETC2018-85417
View Paper titled, A Deep Learning Model for Mining Object-Energy Correlations Using Social Media Image Data
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Topics: Artificial neural networks, Energy consumption, Mining, Motorcycles
Proceedings Papers

A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs

Matthew Dering, James Cunningham, Raj Desai, Michael A. Yukish, Timothy W. Simpson, Conrad S. Tucker
Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A015, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86333
https://doi.org/10.1115/DETC2018-86333
View Paper titled, A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs
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Topics: Physics, Virtual reality, Design, Artificial neural networks, Boats, Computers, Errors, Machinery, Probability, Simulation
Proceedings Papers

A Validation Neural Network (VNN) Metamodel for Predicting the Performance of Deep Generative Designs

James Cunningham, Conrad S. Tucker
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A037, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86299
https://doi.org/10.1115/DETC2018-86299
View Paper titled, A Validation Neural Network (VNN) Metamodel for Predicting the Performance of Deep Generative Designs
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Topics: Artificial neural networks, Simulation, Design, Boats, Modeling, Water
Proceedings Papers

Human Validation of Computer vs Human Generated Design Sketches

Christian Lopez, Scarlett R. Miller, Conrad S. Tucker
Proc. ASME. IDETC-CIE2018, Volume 7: 30th International Conference on Design Theory and Methodology, V007T06A015, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85698
https://doi.org/10.1115/DETC2018-85698
View Paper titled, Human Validation of Computer vs Human Generated Design Sketches
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Topics: Computers, Design, Design methodology, Innovation
Proceedings Papers

Evaluating the Effectiveness of Virtual Reality As an Interactive Educational Resource for Additive Manufacturing

John K. Ostrander, Conrad S. Tucker, Timothy W. Simpson, Nicholas A. Meisel
Proc. ASME. IDETC-CIE2018, Volume 3: 20th International Conference on Advanced Vehicle Technologies; 15th International Conference on Design Education, V003T04A018, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86036
https://doi.org/10.1115/DETC2018-86036
View Paper titled, Evaluating the Effectiveness of Virtual Reality As an Interactive Educational Resource for Additive Manufacturing
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Topics: Additive manufacturing, Virtual reality, Students, Education, Teaching