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    Gust Factors and Turbulence Intensities for the Tropical Cyclone Environment 

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 003:;page 534
    Author(s): Yu, Bo; Gan Chowdhury, Arindam
    Publisher: American Meteorological Society
    Abstract: Gust factors are used to convert peak wind speeds averaged over a relatively short period (e.g., 3 s) to mean wind speeds averaged over a relatively long reference period (e.g., 1 h) or vice versa. Such conversions are ...
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    Autonomous Door Opening With the Interacting-BoomCopter Unmanned Aerial Vehicle 

    Source: Journal of Mechanisms and Robotics:;2020:;volume( 012 ):;issue: 002
    Author(s): McArthur, Daniel R.; Chowdhury, Arindam B.; Cappelleri, David J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents the design of a light-weight, compliant end-effector and an image processing strategy that together enable the Interacting-BoomCopter (I-BC) unmanned aerial vehicle (UAV) to perform an autonomous ...
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    Design of the Interacting-BoomCopter Unmanned Aerial Vehicle for Remote Sensor Mounting 

    Source: Journal of Mechanisms and Robotics:;2018:;volume( 010 ):;issue: 002:;page 25001
    Author(s): McArthur, Daniel R.; Chowdhury, Arindam B.; Cappelleri, David J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents the design of the interacting-BoomCopter (I-BoomCopter) unmanned aerial vehicle (UAV) for mounting a remote sensor package on a vertical surface. Critical to the design is the novel, custom, light-weight ...
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    Neural Network-Based Pose Estimation Approaches for Mobile Manipulation 

    Source: Journal of Mechanisms and Robotics:;2022:;volume( 015 ):;issue: 001:;page 11009
    Author(s): Chowdhury, Arindam B.;Li, Juncheng;Cappelleri, David J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper illustrates two approaches for the mobile manipulation of factory robots using deep neural networks. The networks are trained using synthetic datasets unique to the factory environment. Approach I uses depth and ...
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    Simulation of Rain Penetration and Associated Damage in Buildings within a Hurricane Vulnerability Model 

    Source: Natural Hazards Review:;2018:;Volume ( 019 ):;issue: 002
    Author(s): Johnson Timothy;Pinelli Jean-Paul;Baheru Thomas;Chowdhury Arindam Gan;Weekes Johann;Gurley Kurt
    Publisher: American Society of Civil Engineers
    Abstract: Recent large-scale tests provided valuable insight into the wind driven rain deposition distribution and subsequent water surface run-off for low-rise buildings in hurricane conditions. These tests led to better understanding ...
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    A General Hysteresis Model for Applications in Structural Dynamics 

    Source: Journal of Structural Engineering:;2026:;Volume ( 152 ):;issue: 001:;page 04025238-1
    Author(s): Dao, Thang N.; Badmus, Afeez; Sutley, Elaina; Collins, William N.; Chowdhury, Arindam; Zisis, Ioannis; Elawady, Amal; Onyia, Victor; Do, Vuong N. V.
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis paper presents a novel hysteresis model designed to accurately capture the complex behavior of structural components under cyclic loading. Traditional hysteresis models require parameters within mathematical ...
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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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