Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 81-100 of 1402
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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 ... -
Prognostics and Health Management of Unmanned Surface Vessels: Past, Present, and Future
(The American Society of Mechanical Engineers (ASME), 2024)With the increasing popularity and deployment of unmanned surface vessels (USVs) all over the world, prognostics and health management (PHM) has become an indispensable tool for health monitoring, fault diagnosis, health ... -
Federated Learning on Distributed and Encrypted Data for Smart Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)Industry 4.0 drives exponential growth in the amount of operational data collected in factories. These data are commonly distributed and stored in different business units or cooperative companies. Such data-rich environments ... -
Information Embedding in Additively Manufactured Parts Through Printing Speed Control
(The American Society of Mechanical Engineers (ASME), 2024)Information lithography in manufacturing is a broad set of techniques for encoding sequences of bits as physical or behavioral features in physical parts. It is an effective approach for part traceability and anti-counterfeiting. ... -
Privacy-Preserving Neural Networks for Smart Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)The rapid advance in sensing technology has expedited data-driven innovation in manufacturing by enabling the collection of large amounts of data from factories. Big data provides an unprecedented opportunity for smart ... -
Layered Security Guidance for Data Asset Management in Additive Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)Manufacturing industries are increasingly adopting additive manufacturing (AM) technologies to produce functional parts in critical systems. However, the inherent complexity of both AM designs and AM processes renders them ... -
Special Issue: Cybersecurity in Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)The landscape of cybersecurity in manufacturing exhibits a dynamic interplay between evolving threats and vulnerabilities against innovative defense mechanisms. With the increasing adoption of smart and cloud-controlled ... -
An Agent-Based Modeling Approach for the Diffusion Analysis of Electric Vehicles With Two-Stage Purchase Choice Modeling
(The American Society of Mechanical Engineers (ASME), 2024)Diffusion research of innovative technologies is crucial for new product positioning and strategic planning in product design. As a versatile system simulation method, agent-based modeling (ABM) has been used in many ... -
Bi-level Analysis of Computed Tomography Images of Malignant Pleural Mesothelioma: Deep Learning-Based Classification and Subsequent Three-Dimensional Reconstruction
(The American Society of Mechanical Engineers (ASME), 2024)A bi-level analysis of computed tomography (CT) images of malignant pleural mesothelioma (MPM) is presented in this paper, starting with a deep learning-based system for classification, followed by a three-dimensional (3D) ... -
Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset
(The American Society of Mechanical Engineers (ASME), 2024)This article introduces a methodology for updating the nonlinear stochastic dynamics of a nozzle with uncertain computational model. The approach focuses on a high-dimensional nonlinear computational model constrained by ... -
Enhancing Robotic Grasping Detection Accuracy With the R2CNN Algorithm and Force-Closure
(The American Society of Mechanical Engineers (ASME), 2024)This study aims to use an improved rotational region convolutional neural network (R2CNN) algorithm to detect the grasping bounding box for the robotic arm that reaches supermarket goods. This algorithm can calculate the ... -
A Network Interference Approach to Analyzing Change Propagation in Requirements
(The American Society of Mechanical Engineers (ASME), 2024)Requirements are frequently revised due to the iterative nature of the design process. If not properly managed, these changes may result in financial and time losses due to undesired propagating effect. Currently, predictive ... -
An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults
(The American Society of Mechanical Engineers (ASME), 2024)Some industrial components, such as valves, relay switches, and motors, occasionally experience intermittent faults (IFs) that usually disappear without any repair or intervention. This phenomenon occurs at a relatively ... -
A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications
(The American Society of Mechanical Engineers (ASME), 2024)Vortex core detection remains an unsolved problem in the field of experimental and computational fluid dynamics. Available methods such as the Q, delta, and swirling strength criterion are based on a decomposed velocity ...