Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 201-220 of 1535
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Understanding the Impact of Applying Large Language Model in Engineering Design Education
(The American Society of Mechanical Engineers (ASME), 2024)In the contemporary era of engineering education, the integration of large language models, offers a novel perspective on enhancing the design process. This study investigates the impact of ChatGPT-3.5 on mechanical ... -
Generative AI-Enabled Conceptualization: Charting ChatGPT’s Impacts on Sustainable Service Design Thinking With Network-Based Cognitive Maps
(The American Society of Mechanical Engineers (ASME), 2024)The rise of generative artificial intelligence (GAI) applications, epitomized by ChatGPT, has reshaped design processes by enhancing idea generation and conceptual depth for designers. However, the facilitating effects on ... -
LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation
(The American Society of Mechanical Engineers (ASME), 2024)The evolution of multimodal large language models (LLMs) capable of processing diverse input modalities (e.g., text and images) holds new prospects for their application in engineering design, such as the generation of 3D ... -
A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)This article provides an insightful review of the recent applications of machine learning (ML) techniques in additive manufacturing (AM) for the prediction and amelioration of mechanical properties, as well as the analysis ... -
A Robust Model for Hydrogen Supply Chain Network Design in China Under Renewable Energy Uncertainty
(The American Society of Mechanical Engineers (ASME), 2024)The increasing demand for new energy sources in China, coupled with the abundant waste, has prompted the exploration of converting excess renewable energy into hydrogen through electrolyzers. However, the uncertainty ... -
Reconstruction and Generation of Porous Metamaterial Units Via Variational Graph Autoencoder and Large Language Model
(The American Society of Mechanical Engineers (ASME), 2024)In this paper, we propose and compare two novel deep generative model-based approaches for the design representation, reconstruction, and generation of porous metamaterials characterized by complex and fully connected solid ... -
Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots Using Covariant Attention Neural Networks
(The American Society of Mechanical Engineers (ASME), 2024)In various applications of multi-robotics in disaster response, warehouse management, and manufacturing, tasks that are known a priori and tasks added during run time need to be assigned efficiently and without conflicts ... -
A Digital Twin-Based Method for Assembly Deviations Analysis
(The American Society of Mechanical Engineers (ASME), 2024)This paper proposes and develops a digital twin-based method for assembly deviation analysis, which considers the impact of product shape deviations and uses assembly data in the product design phase to enhance the performance ... -
A Trajectory Planning Method for Capture Operation of Space Robotic Arm Based on Deep Reinforcement Learning
(The American Society of Mechanical Engineers (ASME), 2024)In order to deal with the complex dynamics and control problems involved in space debris removal, a trajectory planning technique for a spatial robotic arm based on twin delayed DDPG (TD3) in deep reinforcement learning ... -
An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning
(The American Society of Mechanical Engineers (ASME), 2024)Monitoring the condition of rotating machinery offers a salient tool for predictive maintenance of rolling elements subjected to continuous working loads, wear, fatigue, and degradation. In this study, an enhanced computational ... -
Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems
(The American Society of Mechanical Engineers (ASME), 2024)Coupled multidisciplinary systems involve different disciplines/subsystems with feedback-coupled interactions, illustrating the complex interdependencies inherent in real-world engineering systems. Effective monitoring of ... -
Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM
(The American Society of Mechanical Engineers (ASME), 2024)Accurately estimating the state of charge (SOC) of batteries is crucial for the objective of extending battery life and enhancing power supply reliability. Currently, machine learning methods are commonly used to predict ... -
Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online H∞ Policy Iteration
(The American Society of Mechanical Engineers (ASME), 2024)With the rapid growth of renewable energy generation, its proportion in power generation is increasing. Accompanied by this, due to the uncertain characteristics of renewable energy generation, the issue of imbalanced power ... -
Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries
(The American Society of Mechanical Engineers (ASME), 2024)Monitoring the health condition as well as predicting the performance of lithium-ion batteries is crucial to the reliability and safety of electrical systems such as electric vehicles. However, estimating the discharge ... -
A Survey of Function Failure Identification and Propagation Analysis Methods for System Design
(The American Society of Mechanical Engineers (ASME), 2024)In the context of model-based product and system design, the capability to assess the impact of potential component faults, undesired interactions, and fault propagation is important for design decision-making. Addressing ... -
Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder
(The American Society of Mechanical Engineers (ASME), 2024)Hydraulic cylinders with higher stages of extraction are extensively used in earthmoving and heavy machines due to their longer stroke, shorter retracted length, and high-end performance. The rigorous and long hours of ... -
Robust Contact Computation in Non-Rigid Variation Simulation
(The American Society of Mechanical Engineers (ASME), 2024)In non-rigid variation simulation, contact modeling is used to avoid the virtual penetration of the components in the adjacent areas. Numerical errors and convergence issues due to the deformation behavior of the interacting ... -
A Flexible and Accurate Additive Manufacturing Data Retrieval Method Based on Probabilistic Modeling and Transformation-Invariant Feature Learning
(The American Society of Mechanical Engineers (ASME), 2024)Additive manufacturing (AM) is gaining prominence across numerous fields, which involves the generation of extensive data at each process stage. A relational database is a useful tool to store such AM data and streamline ... -
Impact of Task Constraint on Agent Team Size of Self-Organizing Systems Measured by Effective Entropy
(The American Society of Mechanical Engineers (ASME), 2024)Self-organizing systems can perform complex tasks in unpredictable situations with adaptability. Previous work has introduced a multiagent reinforcement learning-based model as a design approach to solving the rule generation ... -
A Novel Industrial Software Model for Social Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)Distinct from the conventional manufacturing paradigm, the functioning of the Social Manufacturing (SocialM) model relies on a vast and dispersed array of social manufacturing resources. SocialM communities/groups emerge ...