Now showing items 301-320 of 1535

    • Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions 

      Song, Binyang; Zhou, Rui; Ahmed, Faez (The American Society of Mechanical Engineers (ASME), 2023)
      In the rapidly advancing field of multi-modal machine learning (MMML), the convergence of multiple data modalities has the potential to reshape various applications. This paper presents a comprehensive overview of the ...
    • Special Issue: Machine Learning and Representation Issues in CAD/CAM 

      Unknown author (The American Society of Mechanical Engineers (ASME), 2023)
      Machine learning (ML), a sub-field of artificial intelligence (AI), is profoundly reshaping various aspects of human life. Its application in engineering systems promises to address long-standing challenges, although it ...
    • Human Digital Twin, the Development and Impact on Design 

      Song, Yu (Wolf) (The American Society of Mechanical Engineers (ASME), 2023)
      In the past decade, human digital twins (HDTs) attracted attention in both digital twin (DT) applications and beyond. In this paper, we discuss the concept and the development of HDTs, focusing on their architecture, key ...
    • The Role of Deep Learning in Manufacturing Applications: Challenges and Opportunities 

      Malhan, Rishi; Gupta, Satyandra K. (The American Society of Mechanical Engineers (ASME), 2023)
      There is a growing interest in using deep learning technologies within the manufacturing industry to improve quality, productivity, safety, and efficiency, while also reducing costs and cycle time. This position paper ...
    • Designing Evolving Cyber-Physical-Social Systems: Computational Research Opportunities 

      Allen, Janet K.; Nellippallil, Anand Balu; Ming, Zhenjun; Milisavljevic-Syed, Jelena; Mistree, Farrokh (The American Society of Mechanical Engineers (ASME), 2023)
      Cyber-physical-social systems (CPSS) are natural extensions of cyber-physical systems that add the consideration of human interactions and cooperation with cyber systems and physical systems. CPSS are becoming increasingly ...
    • Combinational Framework for Classification of Bearing Faults in Rotating Machines 

      Kumar, Sujit; Ganga, D. (The American Society of Mechanical Engineers (ASME), 5/31/2023 )
      In rotating machines, roller bearings are important and prone to frequent faults. Hence, accurate classification of bearing faults is significant in the maintenance of machines. Toward this, a framework using the combination ...
    • Pointing Tasks Using Spatial Audio on Smartphones for People With Vision Impairments 

      Raina, Abhijeet Singh; Mohanty, Ronak R.; Bhuvanesh, Abhirath; J, Divya Prabha; Swaminathan, Manohar; Krishnamurthy, Vinayak R. (The American Society of Mechanical Engineers (ASME), 5/31/2023 )
      We present an experimental investigation of spatial audio feedback using smartphones to support direction localization in pointing tasks for people with visual impairments (PVIs). We do this using a mobile game based on a ...
    • Human Digital Twin, the Development and Impact on Design 

      Song, Yu (Wolf) (The American Society of Mechanical Engineers (ASME), 8/25/2023 )
      In the past decade, human digital twins (HDTs) attracted attention in both digital twin (DT) applications and beyond. In this paper, we discuss the concept and the development of HDTs, focusing on their architecture, key ...
    • Opportunities and Challenges of Quantum Computing for Engineering Optimization 

      Wang, Yan; Kim, Jungin E.; Suresh, Krishnan (The American Society of Mechanical Engineers (ASME), 8/14/2023 )
      Quantum computing as the emerging paradigm for scientific computing has attracted significant research attention in the past decade. Quantum algorithms to solve the problems of linear systems, eigenvalue, optimization, ...
    • The Role of Deep Learning in Manufacturing Applications: Challenges and Opportunities 

      Malhan, Rishi; Gupta, Satyandra K. (The American Society of Mechanical Engineers (ASME), 8/3/2023 1)
      There is a growing interest in using deep learning technologies within the manufacturing industry to improve quality, productivity, safety, and efficiency, while also reducing costs and cycle time. This position paper ...
    • Bayesian, Multifidelity Operator Learning for Complex Engineering Systems–A Position Paper 

      Moya, Christian; Lin, Guang (The American Society of Mechanical Engineers (ASME), 6/15/2023 )
      Deep learning has significantly improved the state-of-the-art in computer vision and natural language processing, and holds great potential to design effective tools for predicting and simulating complex engineering systems. ...
    • Information Embedding for Secure Manufacturing: Challenges and Research Opportunities 

      ElSayed, Karim A.; Dachowicz, Adam; Atallah, Mikhail J.; Panchal, Jitesh H. (The American Society of Mechanical Engineers (ASME), 6/9/2023 1)
      The digitization of manufacturing has transformed the product realization process across many industries, from aerospace and automotive to medicine and healthcare. While this progress has accelerated product development ...
    • Zero-Trust for the System Design Lifecycle 

      Van Bossuyt, Douglas L.; Hale, Britta; Arlitt, Ryan; Papakonstantinou, Nikolaos (The American Society of Mechanical Engineers (ASME), 6/9/2023 1)
      In an age of worsening global threat landscape and accelerating uncertainty, the design and manufacture of systems must increase resilience and robustness across both the system itself and the entire systems design process. ...
    • Deep Learning-Driven Design of Robot Mechanisms 

      Purwar, Anurag; Chakraborty, Nilanjan (The American Society of Mechanical Engineers (ASME), 6/5/2023 1)
      In this paper, we discuss the convergence of recent advances in deep neural networks (DNNs) with the design of robotic mechanisms, which entails the conceptualization of the design problem as a learning problem from the ...
    • Research Issues in the Generative Design of Cyber-Physical-Human Systems 

      Rosen, David W.; Choi, Christina Youngmi (The American Society of Mechanical Engineers (ASME), 6/5/2023 1)
      Cyber-physical-human systems (CPHS) are smart products and systems that offer services to their customers, supported by back-end systems (e.g., information, finance) and other infrastructure. In this paper, initial concepts ...
    • Carbon Neutrality: A Review 

      He, Bin; Yuan, Xin; Qian, Shusheng; Li, Bing (The American Society of Mechanical Engineers (ASME), 5/31/2023 )
      The introduction of the idea of “carbon neutrality” gives the development of low carbon and decarbonization a defined path. Climate change is a significant worldwide concern. To offer a theoretical foundation for the ...
    • Digital Twin-Driven Product Sustainable Design for Low Carbon Footprint 

      He, Bin; Mao, Hangyu (The American Society of Mechanical Engineers (ASME), 5/25/2023 )
      Product sustainability is a pressing global issue that requires urgent improvement, and low-carbon design is a crucial approach toward achieving sustainable product development. Digital twin technology, which connects the ...
    • Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing 

      Bernstein, William Z.; Bowman, Andrew; Durscher, Ryan; Gillman, Andrew; Donegan, Sean (The American Society of Mechanical Engineers (ASME), 5/9/2023 1)
      Extended reality (XR) technologies have realized significant value for design, manufacturing, and sustainment processes. However, industrial XR, or XR implemented within industrial applications, suffers from scalability ...
    • Making Robotic Swarms Trustful: A Blockchain-Based Perspective 

      Thakur, Atul; Sahoo, Swagatika; Mukherjee, Arnab; Halder, Raju (The American Society of Mechanical Engineers (ASME), 5/5/2023 1)
      Lately, the importance of swarm robotics has been recognized in a wide range of areas, including logistics, surveillance, disaster management, agriculture, and other industrial applications. The swarm intelligence introduced ...
    • Framing Supradisciplinary Research for Intellectualized Cyber-Physical Systems: An Unfinished Story 

      Horváth, Imre (The American Society of Mechanical Engineers (ASME), 5/3/2023 1)
      Conceptualization and design of intellectualized, socialized, and personalized cyber-physical systems (CPSs) need integration of existing knowledge across the involved disciplines, as well as exploration and synthesis of ...