Výsledky vyhledávání - "Hafizul A. Ismail"

Readiness for Online Learning Among Foreign Language Undergraduates in a Private University in Malaysia

Autor: SITI NUR DINA MOHD ALI, MOHD HAFIZUL BIN ISMAIL

Publikováno v: Asian Journal of University Education. 18:397-405

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34a938fef00970f8c444f4776517be24
https://doi.org/10.24191/ajue.v18i2.17994

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Review of: 'Instructional Immediacy and Online Course Satisfaction during the COVID-19 Pandemic in Malaysian Higher Education: Mediation Analysis of Perceived Learning'

Autor: Mohd Hafizul Bin Ismail

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a69acc5764918c0d9e5ea865f76ddf34
https://doi.org/10.32388/4il9e4

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Implementation Of Active RFIDs In Inventory Systems

Autor: Arshia Soltanirad, Hafisoh Ahmad, Hoon Yap, Hafizul A. Ismail

Publikováno v: Journal of Physics: Conference Series. 2222:012001

The commoditization of integrated circuits has revolutionized the world of IoT based networks. Supply chain management relies heavily on the application of passive RFID tags for inventory management. However, this technology is outdated and does not

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c4bd704cf024f2d747b5e8039a61f406
https://doi.org/10.1088/1742-6596/2222/1/012001

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Multi-objective invasive weed optimization of the LQR controller

Autor: Michael Sylvester Packianather, Roger Ivor Grosvenor, Hafizul Azizi Ismail

Publikováno v: International Journal of Automation and Computing. 14:321-339

The Robogymnast is a triple link underactuated pendulum that mimics a human gymnast hanging from a horizontal bar. In this paper, two multi-objective optimization methods are developed using invasive weed optimization (IWO). The first method is the w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a05359b5af662c4ee3e7639a858ef1e0
https://doi.org/10.1007/s11633-017-1061-3

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The application of IWO in LQR controller design for the Robogymnast

Autor: Michael Sylvester Packianather, Hafizul Azizi Ismail, Eldaw E. Eldhukri, Roger Ivor Grosvenor

Publikováno v: 2015 SAI Intelligent Systems Conference (IntelliSys).

In this study, invasive weed optimization (IWO) was used to investigate the optimum Q values of the linear quadratic regulator (LQR) for the inverted balance control of the Robo-gymnast. The Robogymnast is a triple-link pendulum developed to study co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b6bf3cbfebf7a0ba6a6ff3b9065b4bc
https://doi.org/10.1109/intellisys.2015.7361154

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Invasive weed optimization of swing-up control parameters for robot gymnast

Autor: Hafizul Azizi Ismail, Michael Sylvester Packianather, E. E. Eldhukhri

Publikováno v: AIM

In this paper Invasive Weed Optimization (IWO) was used to investigate the optimum values of the control parameters for the swing up of the Robogymnast. The Robogymnast is classified as an underactuated triple link pendulum. It was developed to study

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3f65a479de8c2d13c6426c9a00031e81
https://doi.org/10.1109/aim.2014.6878052

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