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Institution

National University of Malaysia

EducationKuala Lumpur, Malaysia
About: National University of Malaysia is a education organization based out in Kuala Lumpur, Malaysia. It is known for research contribution in the topics: Population & Heat transfer. The organization has 26593 authors who have published 41270 publications receiving 552683 citations. The organization is also known as: NUM & Universiti Kebangsaan Malaysia.


Papers
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Journal ArticleDOI
TL;DR: In this article, basic readiness, skills readiness, psychological readiness and budget readiness of students at two different universities in relation to mobile learning was investigated. But the study also revealed that the students were uncertain as to how much money they needed to spend for the telephone line and Internet line apart from the software and hardware requirements.
Abstract: Learning today is beyond the four walls and the Internet environment. The advancement of mobile technology has opened up a myriad of learning opportunities for students in Higher Learning Institutions who need to cope with a complex and demanding learning environment. With this increasing number of mobile phone owners, especially among the student population in Malaysia, educators should look into the possibility of integrating mobile learning into the academic programmes at Institutions of Higher Learning. This paper focuses on basic readiness, skills readiness, psychological readiness and budget readiness of students at two different universities in relation to mobile learning. An online questionnaire survey was used to collect data for this study. The findings revealed that the students are highly familiar with computing skills and they welcome the integration of mobile learning in education. The study also revealed that the students were uncertain as to how much money they needed to spend for the telephone line and Internet line apart from the software and hardware requirements. A discussion on the implications of the findings will also be presented.

145 citations

Journal ArticleDOI
TL;DR: In this article, a methodology was developed to quantitatively assess the relative contributions of four environmental parameters, i.e., vertical shear, vorticity, and SST on the genesis potential index (GPI) of tropical cyclone frequency.
Abstract: The annual cycle of tropical cyclone (TC) frequency over the Bay of Bengal (BoB) exhibits a notable bimodal character, different from a single peak in other basins. The causes of this peculiar feature were investigated through the diagnosis of a genesis potential index (GPI) with the use of the NCEP Reanalysis I dataset during the period 1981–2009. A methodology was developed to quantitatively assess the relative contributions of four environmental parameters. Different from a conventional view that the seasonal change of vertical shear causes the bimodal feature, it was found that the strengthened vertical shear alone from boreal spring to summer cannot overcome the relative humidity effect. It is the combined effect of vertical shear, vorticity, and SST that leads to the GPI minimum in boreal summer. It is noted that TC frequency in October–November is higher than that in April–May, which is primarily attributed to the difference of mean relative humidity between the two periods. In contrast, mo...

145 citations

Journal ArticleDOI
TL;DR: In this article, the authors used the homotopy analysis method (HAM) to obtain approximate solution of fractional integro-differential equations (FIDEs), and the convergence of HAM is considered for this kind of equations.
Abstract: In this paper, we have used the homotopy analysis method (HAM) to obtain approximate solution of fractional integro-differential equations (FIDEs). Convergence of HAM is considered for this kind of equations. Also some examples are given to illustrate the high efficiency and precision of HAM. Keywords: Fractional integro-differential equation, homotopy analysis method, convergence control parameter Quaestiones Mathematicae 36(2013), 93–105

144 citations

Journal ArticleDOI
TL;DR: The purpose of this review paper is to illustrate the various methodologies and developed algorithms on FECG signal detection and analysis to provide efficient and effective ways of understanding the FECG Signal and its nature for fetal monitoring.
Abstract: Fetal electrocardiogram (FECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during labor. The ultimate reason for the interest in FECG signal analysis is in clinical diagnosis and biomedical applications. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies are becoming very important requirements in fetal monitoring. The purpose of this review paper is to illustrate the various methodologies and developed algorithms on FECG signal detection and analysis to provide efficient and effective ways of understanding the FECG signal and its nature for fetal monitoring. A comparative study has been carried out to show the performance and accuracy of various methods of FECG signal analysis for fetal monitoring. Finally, this paper further focused some of the hardware implementations using electrical signals for monitoring the fetal heart rate. This paper opens up a passage for researchers, physicians, and end users to advocate an excellent understanding of FECG signal and its analysis procedures for fetal heart rate monitoring system.

144 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed a passive direct methanol fuel cell (DMFC) for portable electronic devices, which was tested on a variety of cell phone chargers, media players, and PDAs.

143 citations


Authors

Showing all 26827 results

NameH-indexPapersCitations
Jonathan E. Shaw114629108114
Sabu Thomas102155451366
Biswajeet Pradhan9873532900
Haji Hassan Masjuki9750229653
Mika Sillanpää96101944260
Choon Nam Ong8644425157
Keith R. Abrams8635530980
Kamaruzzaman Sopian8498925293
Benedikt M. Kessler8238524243
Michel Marre8244439052
Peter Willett7647929037
Peter F. M. Choong7253218185
Nidal Hilal7239521524
Margareta Nordin7226719578
Teuku Meurah Indra Mahlia7033917444
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202382
2022363
20213,169
20202,808
20192,888
20183,299