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Keywords: machine learning
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Proceedings Papers

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A023, August 14–17, 2022
Paper No: DETC2022-88163
... network design, (3) using an ensemble of surrogates to increase the accuracy of prediction. We also demonstrate how to integrate surrogate models and machine learning with time series analysis for more accurate and faster prediction. Due to the availability of data, we use the Buffalo Reservoir in the Red...
Proceedings Papers

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A011, August 14–17, 2022
Paper No: DETC2022-91219
... Abstract Data sparsity is still the main challenge to apply machine learning models to solve complex scientific and engineering problems. The root cause is the “curse of dimensionality” in training these models. Training algorithms need to explore and exploit in a very high dimensional...
Proceedings Papers

Proc. ASME. IDETC-CIE2022, Volume 7: 46th Mechanisms and Robotics Conference (MR), V007T07A006, August 14–17, 2022
Paper No: DETC2022-89694
... Abstract Efficient predictive models for large deflection of beams are critical for the design and analysis of compliant mechanisms. Machine learning (ML) models for predicting large tip deflection and shape of 2D cantilever beams are proposed for the analysis of compliant mechanisms...
Proceedings Papers

Proc. ASME. IDETC-CIE2022, Volume 7: 46th Mechanisms and Robotics Conference (MR), V007T07A027, August 14–17, 2022
Paper No: DETC2022-90494
... Abstract This work brings together rigid body kinematics with machine learning to present a mechanism synthesis pipeline for design and development of a Sit-to-Stand (STS) device. Practical device design problems require multiple constraints to be satisfied simultaneously. Most of the focus...
Proceedings Papers

Proc. ASME. IDETC-CIE2022, Volume 7: 46th Mechanisms and Robotics Conference (MR), V007T07A079, August 14–17, 2022
Paper No: DETC2022-90495
... for effective communication, analysis, cataloging, and classification. planar linkage mechanisms simulation machine learning deep learning object detection Proceedings of the ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A053, August 17–19, 2021
Paper No: DETC2021-70249
... learning. First, this study voxelised 3D models of the LS units and then calculated the entropy vector of each model as the geometric feature of the LS units. Next, the porosity, material density, elastic modulus, and unit length of the lattice unit are combined with entropy as the inputs of the machine...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 8A: 45th Mechanisms and Robotics Conference (MR), V08AT08A045, August 17–19, 2021
Paper No: DETC2021-70009
...Abstract Abstract A task motion trajectory usually needs to be determined for the training process and mechanism design for rehabilitation patients since they are not capable of providing a normal motion. In this paper, a machine-learning-based approach of gait trajectory prediction for lower...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 8A: 45th Mechanisms and Robotics Conference (MR), V08AT08A037, August 17–19, 2021
Paper No: DETC2021-71629
... Deshpande, Zhijie Lyu, Anurag Purwar Computer-Aided Design and Innovation Lab Department of Mechanical Engineering Stony Brook University Stony Brook, New York, 11794-2300 ABSTRACT nar Mechanisms, Machine Learning, Deep Learning, Variational This paper brings together rigid body kinematics and ma...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A029, August 17–19, 2021
Paper No: DETC2021-71403
..., two categories of Machine Learning (ML) and Deep Learning (DL) techniques are used to classify consumer electronics. ML models include Naïve Bayes with Bernoulli, Gaussian, Multinomial distributions, and Support Vector Machine (SVM) algorithms with four kernels of Linear, Radial Basis Function (RBF...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A012, August 17–19, 2021
Paper No: DETC2021-71333
... Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2021 August 17-19, 2021, Virtual, Online DETC2021-71333 MACHINE LEARNING TO PREDICT MEDICAL DEVICES REPAIR AND MAINTENANCE NEEDS Hao-yu Liao Karthik...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A005, August 17–19, 2021
Paper No: DETC2021-70613
... Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2021 August 17-19, 2021, Virtual, Online DETC2021-70613 CAN MACHINE LEARNING TOOLS SUPPORT THE IDENTIFICATION OF SUSTAINABLE DESIGN LEADS FROM...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A017, August 17–19, 2021
Paper No: DETC2021-68469
... Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2021 August 17-19, 2021, Virtual, Online DETC2021-68469 A MACHINE LEARNING METHOD FOR STATE OF CHARGE ESTIMATION IN LEAD-ACID BATTERIES FOR HEAVY...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A078, August 17–19, 2021
Paper No: DETC2021-69337
... Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2021 August 17-19, 2021, Virtual, Online DETC2021-69337 AN APPLICATION OF MACHINE LEARNING TO PREDICT STIFFNESS DISCRIMINATION THRESHOLDS USING...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A026, August 17–19, 2021
Paper No: DETC2021-68177
... Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2021 August 17-19, 2021, Virtual, Online DETC2021-68177 OPTIMAL RELEASE PLANNING USING MACHINE LEARNING AND LINEAR INTEGER PROGRAMMING FOR IDEAS...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A030, August 17–19, 2021
Paper No: DETC2021-69436
... image. Each depth image is discretized into 100 equal regions of interest and then labeled accordingly. Using the image dataset, four Machine Learning (ML) classification models are trained and compared, namely Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Convolutional Neural Network (CNN...
Proceedings Papers

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A051, August 17–19, 2021
Paper No: DETC2021-69567
... transferability for different situations, increasing its versatility and applicability. This, in turn, reduces the computational burden of evaluation and improves operational efficiency. Kansei attribute evaluation convolutional neural networks machine learning Proceedings of the ASME 2021...
Proceedings Papers

Proc. ASME. DETC89, 15th Design Automation Conference: Volume 1 — Computer-Aided and Computational Design, 309-313, September 17–21, 1989
Paper No: DETC1989-0052
... learning, and (3) to build a flexible and forever expandable structure for knowledge-based system implementation. design automation machine learning creative design \ A STRUCTURED DESIGN METHODOLOGY AND METADESIGNER: A SYSTEM SHELL CONCEPT FOR COMPUTER AIDED CREATIVE DESIGN C.R. Liu and J.C...
Proceedings Papers

Proc. ASME. CIE93, 13th Computers in Engineering Conference, 571-577, August 8–12, 1993
Paper No: CIE1993-0069
... in debugging, but also helps the user to be convinced of the outcomes of the reasoning of PROCASE. case-based reasoning CAD/CAM process planning machine learning Computers in Engineering 1993 ASME 1993 PROCASE: A PROTOTYPE OF INTELLIGENT CASE-BASED PROCESS PLANNING SYSTEM WITH SIMULATION...
Proceedings Papers

Proc. ASME. DETC97, Volume 3: 9th International Design Theory and Methodology Conference, V003T30A011, September 14–17, 1997
Paper No: DETC97/DTM-3875
... for Machine Learning and Inference. The subject of the study was the acquisition of design knowledge for proactive design. Conclusions of the research conducted are provided. proactive design knowledge acquisition machine learning perceived quality Proceedings of the 1997 DETC The 1997 ASME Design...
Proceedings Papers

Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A038, August 17–19, 2020
Paper No: DETC2020-22126
...DATA MINING FROM ENDMILL TOOL CATALOG INFORMATION BASED ON THE USE OF A MACHINE LEARNING METHOD Akihito Asakura1, Toshiki Hirogaki1, Eiichi Aoyama1, Hiroyuki Kodama2 1 Department of Mechanical Engineering Doshisha University 1-3 Tataramiyakodani, Kyotanabe-shi Kyoto 610 0394, Japan 2 Graduate...