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    Knowledge Acquisition of Self-Organizing Systems With Deep Multiagent Reinforcement Learning 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 022 ):;issue: 002:;page 21010-1
    Author(s): Ji, Hao; Jin, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Self-organizing systems (SOS) can perform complex tasks in unforeseen situations with adaptability. Previous work has introduced field-based approaches and rule-based social structuring for individual agents to not only ...
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    Long-Range Risk-Aware Path Planning for Autonomous Ships in Complex and Dynamic Environments 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 004:;page 41007-1
    Author(s): Hu, Chuanhui; Jin, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Path planning and collision avoidance are common problems for researchers in vehicle and robotics engineering design. In the case of autonomous ships, the navigation is guided by the regulations for preventing collisions ...
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    A Method for Synthesizing Ontology-Based Textual Design Datasets: Evaluating the Potential of Large Language Model in Domain-Specific Dataset Generation 

    Source: Journal of Mechanical Design:;2025:;volume( 147 ):;issue: 004:;page 41707-1
    Author(s): Qiu, Yunjian; Jin, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In engineering disciplines, leveraging generative language models requires using specialized datasets for training or fine-tuning the preexisting models. Compiling these domain-specific datasets is a complex endeavor, ...
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    LongRange RiskAware Path Planning for Autonomous Ships in Complex and Dynamic Environments 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 004:;page 41007
    Author(s): Hu, Chuanhui;Jin, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Path planning and collision avoidance are common problems for researchers in vehicle and robotics engineering design. In the case of autonomous ships, the navigation is guided by the regulations for preventing collisions ...
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    Exploring Visual Cues for Design Analogy: A Deep Learning Approach 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 012:;page 121402
    Author(s): Zhang, Zijian;Jin, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The goal of this research is to develop a computeraided visual analogy support (CAVAS) framework to augment designers’ visual analogical thinking by stimulating them by providing relevant visual cues from a variety of ...
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    Enhancing Efficiency in Collision Avoidance: A Study on Transfer Reinforcement Learning in Autonomous Ships’ Navigation 

    Source: ASME Open Journal of Engineering:;2024:;volume( 003 ):;issue: 00:;page 31019-1
    Author(s): Wang, Xinrui; Jin, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Collision avoidance in ships and robotic vehicles exemplifies a complex work process that necessitates effective scenario recognition and precise movement decision-making. Machine learning methods addressing such work ...
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    Impact of Task Constraint on Agent Team Size of Self-Organizing Systems Measured by Effective Entropy 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 008:;page 81004-1
    Author(s): Ji, Hao; Jin, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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 ...
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    Effect of Social Structuring in Self Organizing Systems 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 004:;page 41101
    Author(s): Khani, Newsha; Humann, James; Jin, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Dealing with unforeseeable changing situations, often seen in exploratory and hazardous task domains, requires systems that can adapt to changing tasks and varying environments. The challenge for engineering design researchers ...
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    Elastodynamic Modeling and Analysis for an Exechon Parallel Kinematic Machine 

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 003:;page 31011
    Author(s): Zhang, Jun; Zhao, Yan Q.; Jin, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As a newly invented parallel kinematic machine (PKM), Exechon has attracted intensive attention from both academic and industrial fields due to its conceptual high performance. Nevertheless, the dynamic behaviors of Exechon ...
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    Evolving Land–Atmosphere Interactions over North America from CMIP5 Simulations 

    Source: Journal of Climate:;2013:;volume( 026 ):;issue: 019:;page 7313
    Author(s): Dirmeyer, Paul A.; Jin, Yan; Singh, Bohar; Yan, Xiaoqin
    Publisher: American Meteorological Society
    Abstract: ong-term changes in land?atmosphere interactions during spring and summer are examined over North America. A suite of models from phase 5 of the Coupled Model Intercomparison Project simulating preindustrial, historical, ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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