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    A Framework of Real-Time Knowledge Capture and Formalization for Model-Based Design With Spoken Annotation and Design Operations

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 010::page 101004-1
    Author:
    Nomaguchi, Yutaka
    ,
    Morikawa, Hiroyuki
    ,
    Nishida, Rempei
    ,
    Fujita, Kikuo
    DOI: 10.1115/1.4066094
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Capturing knowledge without an extra burden on engineers is one of the most challenging issues in the engineering domain. This study proposes a framework of real-time knowledge capture and systematic formalization for the model-based design (MBD), the systems design approach where a simulation is a key component. The framework records the screen of the modeling tool as video data and spoken annotation in which an engineer verbally explains the rationale of the modeling conducted with Modelica-based software commonly used for MBD. The captured modeling tool log and spoken annotation are divided into chunks, each corresponding to a design operation, e.g., defining functions, defining system components, setting model elements, setting model parameters, and running simulations. The format of the graphical Issue-Based Information Systems (gIBIS), the argumentation model for representing design rationale represents the logical structure of the design process. We define design operation templates at the system and subsystem levels, which act as rules to convert the modeling tool log into gIBIS format systematically. We conduct a design case of a spinach harvesting machine with MBD software to verify the proposed framework. The results show that through non-intrusive recording of the design process, the proposed framework is effective in capturing knowledge that can be used to help understand how a model was built.
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      A Framework of Real-Time Knowledge Capture and Formalization for Model-Based Design With Spoken Annotation and Design Operations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4305922
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    • Journal of Computing and Information Science in Engineering

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    contributor authorNomaguchi, Yutaka
    contributor authorMorikawa, Hiroyuki
    contributor authorNishida, Rempei
    contributor authorFujita, Kikuo
    date accessioned2025-04-21T10:18:48Z
    date available2025-04-21T10:18:48Z
    date copyright8/21/2024 12:00:00 AM
    date issued2024
    identifier issn1530-9827
    identifier otherjcise_24_10_101004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305922
    description abstractCapturing knowledge without an extra burden on engineers is one of the most challenging issues in the engineering domain. This study proposes a framework of real-time knowledge capture and systematic formalization for the model-based design (MBD), the systems design approach where a simulation is a key component. The framework records the screen of the modeling tool as video data and spoken annotation in which an engineer verbally explains the rationale of the modeling conducted with Modelica-based software commonly used for MBD. The captured modeling tool log and spoken annotation are divided into chunks, each corresponding to a design operation, e.g., defining functions, defining system components, setting model elements, setting model parameters, and running simulations. The format of the graphical Issue-Based Information Systems (gIBIS), the argumentation model for representing design rationale represents the logical structure of the design process. We define design operation templates at the system and subsystem levels, which act as rules to convert the modeling tool log into gIBIS format systematically. We conduct a design case of a spinach harvesting machine with MBD software to verify the proposed framework. The results show that through non-intrusive recording of the design process, the proposed framework is effective in capturing knowledge that can be used to help understand how a model was built.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Framework of Real-Time Knowledge Capture and Formalization for Model-Based Design With Spoken Annotation and Design Operations
    typeJournal Paper
    journal volume24
    journal issue10
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4066094
    journal fristpage101004-1
    journal lastpage101004-9
    page9
    treeJournal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 010
    contenttypeFulltext
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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
    yabeshDSpacePersian