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38 record(s) found

1
Abstract
Identifying the local time scale of the torrential rainfall pattern through Singular Spectrum Analysis (SSA) is useful to separate the trend and noise components. However, SSA poses two main issues which are torrential rainfall time series data have coinciding singular values and the leading components from eigenvector obtained from the decomposing time series matrix are usually assesed by graphical inference lacking in a specific statistical measure. In consequences to both issues, the extracted trend from SSA tended to flatten out and did not show any distinct pattern. This problem was approached in two ways. First, an Iterative Oblique SSA (Iterative OSSA) was presented to make adjustment to the singular values data. Second, a measure was introduced to group the decomposed eigenvector based on Robust Sparse K-means (RSK-Means). As the results, the extracted trend using modification of SSA appeared to fit the original time series and looked more flexible compared to SSA...
Article Published 2019 2246 hits Available
2
Abstract
The aim of this study is to determine the effectiveness of multi-frames video recorded experiments (MFVREs) on pre-university students’ achievement for capacitor topic. This study was carried out among 60 Diploma Science students of Universiti Pendidikan Sultan Idris, Malaysia. Students’ pre-test and post-test scores were analyzed using independent sample t-test. The effectiveness of MFVREs on students’ achievement were analyzed for four subtopics of capacitor: basic concept of capacitor (S1), series connection of capacitors (S2), parallel connection of capacitors (S3) and combination of series and parallel connection of capacitors (S4). Findings revealed that MFVREs give significant effects on students’ achievement for S2, S3 and S4 subtopics but no significant effect to students’ achievement for S1 subtopic compared to PowerPoint slides. Thus, MFVREs approach can be used either as a teaching aid in normal classroom or a student-centered learning video in order to improve th.....
Article Published 2016 2954 hits Available
3
Abstract
Kajian ini bertujuan untuk mengenal pasti status kualiti air tasik rekreasi di Taman Tasik Taiping, Perak ekoran daripada kesan aktiviti guna tanah di kawasan sublembangan sungai. Reka bentuk kajian menggunakan kaedah kuantitatif di lapangan menerusi pencerapan sampel air tasik, soal selidik dan analisis pemetaan corak guna tanah. Penilaian status kualiti air melibatkan pengukuran DO, pH, BOD, COD, SS, dan NH3N di 22 buah stesen yang telah ditetapkan. Parameter bakteria E.coli dan logam berat seperti Zn, Mg, Cd, Pb, Hg, Cu dan juga Fe turut dicerap.Kesemua parameter ini dibandingkan dengan Standard Kualiti Air Kebangsaan untuk Malaysia dan juga dibandingkan dengan garis panduan kualiti air minuman untuk menilai tahap kualiti air tasik. Pencerapan kualiti air dijalankan sebanyak dua kali iaitu pada bulan Mei 2013 dan juga pada bulan Mac 2014. Seramai 389 orang pengunjung telah dipilih sebagai sampel bagi mendapatkan pandangan mereka tentang tahap kualiti air tasik. Aplikasi Sistem Maklu.....
Thesis Published 2015 1696 hits Available
4
Abstract
- The coronavirus disease 2019 (COVID-19) outbreak in December 2019 had affected the way of living for people around the world including students in educational institutions. These students had to prepare for the continuity of their study mentally and phy..
Article Published 2021 1059 hits Available
9
Abstract
One of the popular approaches in modifying the Conjugate Gradient (CG) Method is hybridization. In this paper, a new hybrid CG is introduced and its performance is compared to the classical CG method which are RivaieMustafa-Ismail-Leong (RMIL) and Syarafina-Mustafa-Rivaie (SMR) methods. The proposed hybrid CG is evaluated as a convex combination of RMIL and SMR method. Their performance are analyzed under the exact line search. The comparison performance showed that the hybrid CG is promising and has outperformed the classical CG of RMIL and SMR in terms of the number of iterations and central processing unit per time..
Article Published 2019 1928 hits Available
10
Abstract
In this study, hybrid RPCA-spectral biclustering model is proposed in identifying the Peninsular Malaysia rainfall pattern. This model is a combination between Robust Principal Component Analysis (RPCA) and biclustering in order to overcome the skewness problem that existed in the Peninsular Malaysia rainfall data. The ability of Robust PCA is more resilient to outlier given that it assesses every observation and downweights the ones which deviate from the data center compared to classical PCA. Meanwhile, two way-clustering able to simultaneously cluster along two variables and exhibit a high correlation compared to one-way cluster analysis. The experimental results showed that the best cumulative percentage of variation in between 65%-70% for both Robust and classical PCA. Meanwhile, the number of clusters has improved from six disjointed cluster in Robust PCA-kMeans to eight disjointed cluster for the proposed model. Further analysis shows that the proposed model has smaller variatio.....
Article Published 2019 1915 hits Available
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