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Institution

Universiti Sains Malaysia

EducationGeorge Town, Pulau Pinang, Malaysia
About: Universiti Sains Malaysia is a education organization based out in George Town, Pulau Pinang, Malaysia. It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 23231 authors who have published 39356 publications receiving 655434 citations. The organization is also known as: USM & University of Science, Malaysia.


Papers
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Journal ArticleDOI
TL;DR: The results obtained indicated that pectin has a lower average molecular weight at 1.63 x 10(5) and PAM at 6.00 x10(7) and the thermal degradation results showed that the onset temperature for pECTin is at 165.58 degrees C, while the highest onset temperature obtained for PAM is at 235.39 degrees C.

122 citations

Journal ArticleDOI
TL;DR: In this paper, the relative merits of using polymers over metals are shown through a quantitative comparison, between PVDF and Hastelloy heat exchangers, when incorporating the same tube dimensions, thickness and fluid film coefficients, significant cost savings can be achieved using the PVDF exchanger.

122 citations

Journal ArticleDOI
TL;DR: Investigation of a third-generation (G3) polyamidoamine (PAMAM) dendrimer-based carrier to enhance the permeability of paclitaxel (pac) and to overcome cellular barriers showed an increase in the apparent permeability coefficient.

122 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used a closed air cycle type, in which air is circulated in the unit by natural draft between the humidifier and condenser, and found that the air circulation rate increased with water flow rate, causing a further increase in the mass transfer coefficient.

122 citations

Journal ArticleDOI
TL;DR: Results have shown that DTR system is able to increase network reliability and allows for higher wind energy penetration and the auto-regressive and moving-average (ARMA) model is used.
Abstract: Electrical networks across the globe are gearing towards environmentally friendly operation with many renewable sources being introduced. Among them, the popularity of electrical generation by wind has gained the most ground. Wind, as one of the meteorological conditions, also has high influence on line ratings and such manner of operating the line is known as dynamic thermal rating (DTR) system. Seeing this relationship, it is intuitively important to investigate the reliability of a electrical network incorporating DTR and wind farm. Hence, the objective of this paper is to propose a methodology that can perform this task. In the methodology, sequential Monte Carlo (SMC) simulation was performed due to time dependencies of line ratings and wind power. As a result, modeling of these time-series data was performed using the auto-regressive and moving-average (ARMA) model. Moreover, correlations between line rating and wind power were also considered to provide a practical approach to the modeling. Results have shown that DTR system is able to increase network reliability and allows for higher wind energy penetration.

121 citations


Authors

Showing all 23437 results

NameH-indexPapersCitations
Peter J. Anderson12096663635
B.H. Hameed10632839456
Abdul Rahman Mohamed8454223633
Muhammad Iqbal7796123821
Xiao-Zeng You7376322917
Keat Teong Lee7127616745
Rajeev Singh6936517805
Abdul Latif Ahmad6849022012
Hiroyuki Osada6765118192
Mohammad Jawaid6550319471
Subhash Bhatia6320412804
Mohammed Farid6129915820
Thurasamy Ramayah5738812103
Colleen Ward5617317494
Robert R. Twilley5516611745
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023100
2022336
20213,347
20203,274
20192,853
20182,551