1,722,425 research outputs found

    Data-driven reduced order modeling for parametric PDE eigenvalue problems using Gaussian process regression

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    In this article, we propose a data-driven reduced basis (RB) method for the approximation of parametric eigenvalue problems. The method is based on the offline and online paradigms. In the offline stage, we generate snapshots and construct the basis of the reduced space, using a POD approach. Gaussian process regressions (GPR) are used for approximating the eigenvalues and projection coefficients of the eigenvectors in the reduced space. All the GPR corresponding to the eigenvalues and projection coefficients are trained in the offline stage, using the data generated in the offline stage. The output corresponding to new parameters can be obtained in the online stage using the trained GPR. The proposed algorithm is used to solve affine and non-affine parameter-dependent eigenvalue problems. The numerical results demonstrate the robustness of the proposed non-intrusive method

    Luminous measurement of LED lights in cost effective way

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    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2014.Cataloged from PDF version of thesis report.Includes bibliographical references (page 56-57).This paper targets economic and sustainable methods of lumen testing of LED lights. Its resurgence being in a developing nation, like Bangladesh, it is necessary that such an expensive method, around the world, be brought down to reasonable circumstance. We initially acknowledge and elaborate the varying methods that are already present. Furthermore, we discuss the methods of our experiments and their results using varying techniques to strengthen our initial hypothesis, which focuses on lumen testing affordability.Abdul Halim, Abdul Shakib Billah, Ishrat JahanB. Electrical and Electronic Engineerin

    sj-docx-1-sgo-10.1177_21582440231178703 – Supplemental material for Interventions to Reduce Caregiver Burden Among Caregivers of Chronic Kidney Disease (CKD) Patients: A Scoping Review

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    Supplemental material, sj-docx-1-sgo-10.1177_21582440231178703 for Interventions to Reduce Caregiver Burden Among Caregivers of Chronic Kidney Disease (CKD) Patients: A Scoping Review by Sin Yee Chu, Norhayati Ibrahim, Noh Amit, Abdul Halim Abdul Gafor, Rozmi Ismail, Kai Wei Lee and Ching Sin Siau in SAGE Open</p
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