Institution
Universiti Sains Malaysia
Education•George 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 published on a yearly basis
Papers
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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
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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
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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
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
Peter J. Anderson | 120 | 966 | 63635 |
B.H. Hameed | 106 | 328 | 39456 |
Abdul Rahman Mohamed | 84 | 542 | 23633 |
Muhammad Iqbal | 77 | 961 | 23821 |
Xiao-Zeng You | 73 | 763 | 22917 |
Keat Teong Lee | 71 | 276 | 16745 |
Rajeev Singh | 69 | 365 | 17805 |
Abdul Latif Ahmad | 68 | 490 | 22012 |
Hiroyuki Osada | 67 | 651 | 18192 |
Mohammad Jawaid | 65 | 503 | 19471 |
Subhash Bhatia | 63 | 204 | 12804 |
Mohammed Farid | 61 | 299 | 15820 |
Thurasamy Ramayah | 57 | 388 | 12103 |
Colleen Ward | 56 | 173 | 17494 |
Robert R. Twilley | 55 | 166 | 11745 |