Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 121-140 of 1402
-
Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning
(The American Society of Mechanical Engineers (ASME), 2024)During disasters, such as floods, it is crucial to get real-time ground information for planning rescue and response operations. With the advent of technology, unmanned aerial vehicles (UAVs) are being deployed for real-time ... -
Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring
(The American Society of Mechanical Engineers (ASME), 2024)Additive manufacturing (AM) fabricates three-dimensional parts via layer-by-layer deposition and solidification of materials. Due to the complexity of this process, advanced sensing is increasingly employed to facilitate ... -
Risk-Based Design Optimization via Scenario Generation and Genetic Programming Under Hybrid Uncertainties
(The American Society of Mechanical Engineers (ASME), 2024)The design of complex systems often requires the incorporation of uncertainty optimization strategies to mitigate system failures resulting from multiple uncertainties during actual operation. Risk-based design optimization, ... -
Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies
(The American Society of Mechanical Engineers (ASME), 2024)Digital twin (DT) technology has received immense attention over the years due to the promises it presents to various stakeholders in science and engineering. As a result, different thematic areas of DT have been explored. ... -
JCISE Editorial Board—Year 2023
(The American Society of Mechanical Engineers (ASME), 2023)The Journal of Computing and Information Science in Engineering (JCISE) publishes articles related to scientific computing methods (e.g., modeling, simulation, representation, and algorithm) and computational tools (e.g., ... -
Sensor Data Protection Through Integration of Blockchain and Camouflaged Encryption in Cyber-Physical Manufacturing Systems
(The American Society of Mechanical Engineers (ASME), 2024)The advancement of sensing technology enables efficient data collection from manufacturing systems for monitoring and control. Furthermore, with the rapid development of the Internet of Things (IoT) and information ... -
Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment
(The American Society of Mechanical Engineers (ASME), 2024)Identifying, analyzing, and evaluating cybersecurity risks are essential to devise effective decision-making strategies to secure critical manufacturing against potential cyberattacks. However, a manufacturing-specific ... -
Standard Tessellation Language-Free Adaptive Slicing Scheme for Additive Manufacturing of Cellular Materials
(The American Society of Mechanical Engineers (ASME), 2024)In recent years, advances in additive manufacturing (AM) techniques have called for a scalable fabrication framework for high-resolution designs. Despite several process-specific handful design approaches, there is a gap ... -
Interactive 3D Product Information Design in Virtual Reality Shopping Application
(The American Society of Mechanical Engineers (ASME), 2024)Current e-commerce companies are trying to create shopping applications in virtual reality (VR), because interactive 3D product information designs are believed to enrich the online shopping experience. However, existing ... -
Physically Based Rendering of Animated Point Clouds for EXtended Reality
(The American Society of Mechanical Engineers (ASME), 2023)Point cloud 3D models are gaining increasing popularity due to the proliferation of scanning systems in various fields, including autonomous vehicles and robotics. When employed for rendering purposes, point clouds are ... -
Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
(The American Society of Mechanical Engineers (ASME), 2024)Data-driven research in additive manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature emerging. The knowledge in these works consists of AM and artificial ... -
Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts
(The American Society of Mechanical Engineers (ASME), 2024)The presence of gaps and spurious nonphysical artifacts in datasets is a nearly ubiquitous problem in many scientific and engineering domains. In the context of multiphysics numerical models, data gaps may arise from lack ... -
Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data
(The American Society of Mechanical Engineers (ASME), 2024)Establishing fast and accurate structure-to-property relationships is an important component in the design and discovery of advanced materials. Physics-based simulation models like the finite element method (FEM) are often ... -
Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)Metal powder bed fusion additive manufacturing (AM) processes have gained widespread adoption for the ability to produce complex geometries with high performance. However, a multitude of factors still affect the build ... -
A Case Study on Digital Training: Benefits and Unexplored Opportunities
(The American Society of Mechanical Engineers (ASME), 2024)In an era characterized by the increasing complexity of products and the rapid turnover of the workforce across different companies, there is a growing need to invest significantly in quick and efficient training methods. ... -
Comparative Analysis of Convolutional Neural Network Architectures for Automated Knee Segmentation in Medical Imaging: A Performance Evaluation
(The American Society of Mechanical Engineers (ASME), 2024)Segmentation of anatomical components is a major step in creating accurate and realistic 3D models of the human body, which are used in many clinical applications, including orthopedics. Recently, many deep learning ... -
Early Prediction of Human Intention for Human–Robot Collaboration Using Transformer Network
(The American Society of Mechanical Engineers (ASME), 2024)Human intention prediction plays a critical role in human–robot collaboration, as it helps robots improve efficiency and safety by accurately anticipating human intentions and proactively assisting with tasks. While current ... -
Cellular Chaos: Statistically Self-Similar Structures Based on Chaos Game
(The American Society of Mechanical Engineers (ASME), 2023)We present a novel methodology to generate mechanical structures based on fractal geometry using the chaos game, which generates self-similar point-sets within a polygon. Using the Voronoi decomposition of these points, ... -
GLHAD: A Group Lasso-Based Hybrid Attack Detection and Localization Framework for Multistage Manufacturing Systems
(The American Society of Mechanical Engineers (ASME), 2023)As Industry 4.0 and digitization continue to advance, the reliance on information technology increases, making the world more vulnerable to cyberattacks, especially cyber-physical attacks that can manipulate physical systems ... -
Vector Field-Based Volume Peeling for Multi-Axis Machining
(The American Society of Mechanical Engineers (ASME), 2023)This paper presents an easy-to-control volume peeling method for multi-axis machining based on the computation taken on vector fields. The current scalar field-based methods are not flexible and the vector field-based ...