Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 421-440 of 1535
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Sub-Second Prediction of the Heatmap of Powder-Beds in Additive Manufacturing Using Deep Encoder–Decoder Convolutional Neural Networks
(The American Society of Mechanical Engineers (ASME), 2022)Physical modeling of the transient temperature during the Selective Laser Sintering (SLS) Additive Manufacturing (AM) process is essential for the characterization of the quality and structural integrity of the final ... -
Short-Term Cross-Sectional Time-Series Wear Prediction by Deep Learning Approaches
(The American Society of Mechanical Engineers (ASME), 2022)Wear is one of the major causes that affect the performance and reliability of tribo-systems. To mitigate its adverse effects, it is necessary to monitor the wear progress so that preventive maintenance can be timely ... -
Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models
(The American Society of Mechanical Engineers (ASME), 2022)Important for many science and engineering fields, meaningful nonlinear models result from fitting such models to data by estimating the value of each parameter in the model. Since parameters in nonlinear models often ... -
Reusing and Extending Standards-Based Unit Manufacturing Process Models for Characterizing Sustainability Performance
(The American Society of Mechanical Engineers (ASME), 2022)Over the past two decades, numerous efforts have characterized manufacturing processes for sustainability performance. These efforts have been pursued primarily by manufacturing researchers in academic and governmental ... -
Spatial Manipulation in Virtual Peripersonal Space: A Study of Motor Strategies
(The American Society of Mechanical Engineers (ASME), 2022)This article studies fine motor strategies for precise spatial manipulation in close-to-body interactions. Our innate ability for precise work is the result of the confluence of visuo-tactile perception, proprioception, ... -
Signal Estimation for Vehicle Body Accelerations Using Piecewise Linear System Identification in the Frequency Domain
(The American Society of Mechanical Engineers (ASME), 2022)In this work, we investigate a signal estimation problem which is common and critical for durability design of vehicle bodies. The relation between the frequency responses of accelerometers is the target to model so that ... -
Product Perceptual Similarity Evaluation: From Attributive Error to Human Knowledge Hierarchy
(The American Society of Mechanical Engineers (ASME), 2022)A crucial part of any recommendation system for manufactured goods is the method used to evaluate the similarity of products. However, despite being central to the performance of many online retailers, current ways of ... -
A Computer-Aided Design-Based Tolerance Analysis of Assemblies With Form Defects and Deformations of Nonrigid Parts
(The American Society of Mechanical Engineers (ASME), 2022)Product assemblability and functional behavior are affected by geometric deviations. These deviations consist of manufacturing errors and part deformation defects caused by external loads. Taking the sources of deviations ... -
A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling
(The American Society of Mechanical Engineers (ASME), 2022)Deep feed-forward networks, with high complexity, backpropagate the gradient of the loss function from final layers to earlier layers. As a consequence, the “gradient” may descend rapidly toward zero. This is known as the ... -
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-Box Design Problems
(The American Society of Mechanical Engineers (ASME), 2022)We propose a nested weighted Tchebycheff Multi-objective Bayesian optimization (WTB MOBO) framework where we built a regression model selection procedure from the ensemble of models, toward better estimation of the uncertain ... -
Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model
(The American Society of Mechanical Engineers (ASME), 2022)This paper proposes a multi-level Bayesian calibration approach that fuses information from heterogeneous sources and accounts for uncertainties in modeling and measurements for time-dependent multi-component systems. The ... -
Uncertainty Quantification and Optimal Robust Design for Machining Operations
(The American Society of Mechanical Engineers (ASME), 2022)In this study, we carry out robust optimal design for the machining operations, one key process in wafer polishing in chip manufacturing, aiming to avoid the peculiar regenerative chatter and maximize the material removal ... -
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study
(The American Society of Mechanical Engineers (ASME), 2022)In recent years, identification of nonlinear dynamical systems from data has become increasingly popular. Sparse regression approaches, such as sparse identification of nonlinear dynamics (SINDy), fostered the development ... -
A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms
(The American Society of Mechanical Engineers (ASME), 2022)The wake steering control in wind farms has gained significant attention in the last years. This control strategy has shown promise to reduce energy losses due to wake effects and increase the energy production in a wind ... -
A Framework for Inverse Prediction Using Functional Response Data
(The American Society of Mechanical Engineers (ASME), 2022)Inverse prediction models have commonly been developed to handle scalar data from physical experiments. However, it is not uncommon for data to be collected in functional form. When data are collected in functional form, ... -
Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study
(The American Society of Mechanical Engineers (ASME), 2022)Surrogate models play a vital role in overcoming the computational challenge in designing and analyzing nonlinear dynamic systems, especially in the presence of uncertainty. This paper presents a comparative study of ... -
Making-a-Scene: A Preliminary Case Study on Speech-Based 3D Shape Exploration Through Scene Modeling
(The American Society of Mechanical Engineers (ASME), 2022)We explore verbalization as a means for quick-and-dirty 3D shape exploration in early design. Our work stems from the knowledge gap that the fundamental principles necessary to operationalize speech as a viable means for ... -
Combining Uneliminated Algebraic Formulations With Sparse Linear Solvers to Increase the Speed and Accuracy of Homotopy Path Tracking for Kinematic Synthesis
(The American Society of Mechanical Engineers (ASME), 2022)The method of kinematic synthesis requires finding the solution set of a system of polynomials. Parameter homotopy continuation is used to solve these systems and requires repeatedly solving systems of linear equations. ... -
Evaluation of Clinical and Technical Parameters to Customize Total Knee Arthroplasty Implants
(The American Society of Mechanical Engineers (ASME), 2022)Since every structure in the human body can vary, customization is important to choose the most appropriate medical option according to the patient. Total knee arthroplasty (TKA) is a surgical procedure for the knee ... -
Transfer Learning of Motor Difficulty Classification in Physical Human–Robot Interaction Using Electromyography
(The American Society of Mechanical Engineers (ASME), 2022)Efficient human–robot collaboration during physical interaction requires estimating the human state for optimal role allocation and load sharing. Machine learning (ML) methods are gaining popularity for estimating the ...