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A new approach for solving multi-pantograph type delay differential equations Frede Nidal Anakira; Ali Jameel; Mohmmad Hijazi; Abdel-Kareem Alomari; Noraziah Man
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp1859-1868

Abstract

In this paper, a modified procedure based on the residual power series method (RPSM) was implemented to achieve approximate solution with high degree of accuracy for a system of multi-pantograph type delay differential equations (DDEs). This modified procedure is considered as a hybrid technique used to improve the curacy of the standard RPSM by combining the RPSM, Laplace transform and Pade approximant to be a powerful technique that can be solve the problems directly without large computational work, also even enlarge domain and leads to very accurate solutions or gives the exact solutions which is consider the best advantage of this technique. Some numerical applications are illustrated and numerical results are provided to prove the validity and the ability of this technique for this type of important differential equation that appears in different applications in engineering and control system.
Forecasting Gross Domestic Product with Logistic Growth Model Rahela Abdul Rahim; Noraziah Man; Fatinah Zainom
International Journal of Supply Chain Management Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.546 KB)

Abstract

Gross Domestic Product (GDP) is the sum of income for all goods and services acquired in a given time period. This study develops a model of GDP data for the state of Johor between 2005-2016 using the Logistic Growth model. Long-term GDP equilibrium values are predicted using non-linear equations and tested with different parameters. Forecasts of GDP in the near future are also presented using the appropriate parameters.
The Influence Of Music On Memorization Performance Of Mathematics Students Yuhaniz Ahmad; Fatinah Zainon; Zaliza Ghazali; Noraziah Man; Fathilah Mohd Alipiah; Muhammad Yasir Mohamad Yunus
Proceedings of The ICECRS Vol 1 No 2 (2017): Science for Social Welfare and Justice
Publisher : International Consortium of Education and Culture Research Studies

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.658 KB) | DOI: 10.21070/picecrs.v1i2.1443

Abstract

Science has indicated that the left side of the brain performs tasks that are related to logic, such as in science and mathematics while the right performs tasks related to creativity and arts, including music which can affects the brain in many positive ways. Mathematics students tend to use the left brain more than the right brain and as a result, they may encounter difficulties in courses that are not related to mathematics which require reading and memorizing. Learning process and retention of information can be maximized with the simultaneous left and right brain activation. Music is believed to induce better memorization performance Therefore, in this study we introduce music during the memorization process to enhance the use of the right brain. A Complete Randomized Block Design experiment that has been done on mathematics students for testing the effect of music on memorizing performance shows that listening to music during memorizing improve the memorization performance. Furthermore, there is a difference in effectiveness in memorization performance using different types of music. Classical music has been found to be the best music to improve memorization performance. In conclusion, music can be considered as a tool by educators, parents and students to improve learning process.