Abstract
B-spline curves are piecewise polynomial parametric curves or an approximating curve for curve and surface design. Meanwhile, discrete least square is an approach for determining best linear approximation between the number of data points. Two types of mathematical methods for estimating the number of dengue cases in area of Terengganu are presented in this project. The methods are cubic B-spline method and discrete least square method. The number of dengue cases estimations using these two methods are based on the data collected from January 2011 to December 2014. The data are tested to determine the best method to approximate the data by using Mathematica 11 and Microsoft Excel 2016. The errors for both method is compared using Root Mean Square Error (RMSE). Based on the results, the best method is chosen for the estimation. In short, it is a suitable mathematical method which able to approximate the number of dengue cases effectively in order to give an early warning for the dengue cases that may improve in reducing the spread of the dengue cases in the area of Terengganu and give more awareness to the people.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Mazlan, Nur Athirah 2014234866 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohamad Sukri, Nursyazni UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Database management |
Divisions: | Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons) Computational Mathematics |
Keywords: | B-Spline Curves ; Piecewise Polynomial Parametric Curves ; Approximating Curve ; Root Mean Square Error ; Discrete Least Square |
Date: | July 2017 |
URI: | https://ir.uitm.edu.my/id/eprint/41449 |
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