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Proceedings Papers

User Intent Recognition for Transfemoral Amputees With Prosthetic Legs Using Evolutionary Algorithms

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Hanieh Mohammadi, Gholamreza Khademi, Elizabeth C. Hardin, Dan Simon
Proc. ASME. DSCC2019, Volume 1: Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing, V001T07A003, October 8–11, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2019-9150
https://doi.org/10.1115/DSCC2019-9150
View Paper titled, User Intent Recognition for Transfemoral Amputees With Prosthetic Legs Using Evolutionary Algorithms
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Topics: Artificial limbs, Evolutionary algorithms, Intent recognition, Filters, Forming limit diagrams, Design, Feature selection, Optimization, Support vector machines
Proceedings Papers

Behavior Inference From Bio-Logging Sensors: A Systematic Approach for Feature Generation, Selection and State Classification

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Ding Zhang, K. Alex Shorter, Julie Rocho-Levine, Julie van der Hoop, Michael Moore, Kira Barton
Proc. ASME. DSCC2018, Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems, V002T21A005, September 30–October 3, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2018-9213
https://doi.org/10.1115/DSCC2018-9213
View Paper titled, Behavior Inference From Bio-Logging Sensors: A Systematic Approach for Feature Generation, Selection and State Classification
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Topics: Sensors, Algorithms, Feature selection, Probability, Robustness, Trains
Proceedings Papers

Dynamic Modelling of Updraft Gasifiers: Incidence of Feedstock Quality and Operational Variables in the Transient Model Structure

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Ricardo Narváez Cueva, R. Blanchard, G. Guerrón, Diego Chulde, R. Dixon
Proc. ASME. DSCC2017, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems, V003T27A006, October 11–13, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2017-5142
https://doi.org/10.1115/DSCC2017-5142
View Paper titled, Dynamic Modelling of Updraft Gasifiers: Incidence of Feedstock Quality and Operational Variables in the Transient Model Structure
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Topics: Dynamic modeling, Feedstock, Transients (Dynamics), Feature selection, Fittings, Municipal solid wastes, Dynamic models, Dynamics (Mechanics), Flow (Dynamics), Transfer functions
Proceedings Papers

Systematic Feature Selection Process Applied in Short-Term Data-Driven Building Energy Forecasting Models: A Case Study of a Campus Building

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Liang Zhang, Jin Wen, Yimin Chen
Proc. ASME. DSCC2017, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems, V003T27A002, October 11–13, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2017-5073
https://doi.org/10.1115/DSCC2017-5073
View Paper titled, Systematic Feature Selection Process Applied in Short-Term Data-Driven Building Energy Forecasting Models: A Case Study of a Campus Building
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Topics: Feature selection, Computation, Errors, Machine learning, Modeling, Sensors, Statistics, Structures
Proceedings Papers

Prediction of ICU In-Hospital Mortality Using Artificial Neural Networks

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Henian Xia, Nathan Keeney, Brian J. Daley, Adam Petrie, Xiaopeng Zhao
Proc. ASME. DSCC2013, Volume 3: Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing; System Identification (Estimation for Automotive Applications, Modeling, Therapeutic Control in Bio-Systems); Variable Structure/Sliding-Mode Control; Vehicles and Human Robotics; Vehicle Dynamics and Control; Vehicle Path Planning and Collision Avoidance; Vibrational and Mechanical Systems; Wind Energy Systems and Control, V003T43A001, October 21–23, 2013
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2013-3768
https://doi.org/10.1115/DSCC2013-3768
View Paper titled, Prediction of ICU In-Hospital Mortality Using Artificial Neural Networks
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Topics: Algorithms, Artificial neural networks, Databases, Drugs, Feature selection, Machine learning, Machinery, Neural network models, Optimization, Physiology
Proceedings Papers

Classifier Design for Sensor-Fault Tolerant Condition Monitoring in an Industrial Machine

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Srinivas Raman, Clarence W. de Silva
Proc. ASME. DSCC2009, ASME 2009 Dynamic Systems and Control Conference, Volume 1, 637-643, October 12–14, 2009
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2009-2667
https://doi.org/10.1115/DSCC2009-2667
View Paper titled, Classifier Design for Sensor-Fault Tolerant Condition Monitoring in an Industrial Machine
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Topics: Condition monitoring, Design, Machinery, Sensors, Radial basis function networks, Support vector machines, Signals, Cutting, Failure, Feature selection
Proceedings Papers

Classification of Diesel Engine Health Using Sparse Linear Discriminant Analysis (SLDA)

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Neha Chandrachud, Ravindra Kakade, Peter H. Meckl, Galen B. King, Kristofer Jennings
Proc. ASME. DSCC2009, ASME 2009 Dynamic Systems and Control Conference, Volume 1, 677-684, October 12–14, 2009
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2009-2790
https://doi.org/10.1115/DSCC2009-2790
View Paper titled, Classification of Diesel Engine Health Using Sparse Linear Discriminant Analysis (SLDA)
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Topics: Diesel engines, Engines, Steady state, Transients (Dynamics), Dimensions, Emissions, Exhaust systems, Feature selection, Sensors