Institution
Universiti Teknologi Malaysia
Education•Johor Bahru, Malaysia•
About: Universiti Teknologi Malaysia is a education organization based out in Johor Bahru, Malaysia. It is known for research contribution in the topics: Membrane & Adsorption. The organization has 21644 authors who have published 39500 publications receiving 520635 citations.
Topics: Membrane, Adsorption, Control theory, Catalysis, Antenna (radio)
Papers published on a yearly basis
Papers
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TL;DR: In this paper, five different cell concentrations of Bacillus megaterium (10 × 105 to 50 × 105 cfu/ml) were introduced in structural concrete to achieve the optimum concentration of bacteria.
124 citations
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TL;DR: The state-of-the-art in numerical wave propagation analysis on guided wave-based structural health monitoring (SHM) applications is reviewed, and various numerical methods are discussed and assessed with respect to their capability of simulating guided wave propagation phenomena.
Abstract: This paper reviews the state-of-the-art in numerical wave propagation analysis. The main focus in that regard is on guided wave-based structural health monitoring (SHM) applications. A brief introduction to SHM and SHM-related problems is given, and various numerical methods are then discussed and assessed with respect to their capability of simulating guided wave propagation phenomena. A detailed evaluation of the following
methods is compiled: (i) analytical methods, (ii) semi-analytical methods, (iii) the local interaction simulation approach (LISA), (iv) finite element methods (FEMs), and (v) miscellaneous methods such as mass–spring lattice models (MSLMs), boundary element methods (BEMs), and fictitious domain methods. In the framework of the FEM, both time and frequency domain approaches are covered, and the advantages of using high order shape functions are also examined.
124 citations
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TL;DR: It was found that the optimum fluidising velocity was approximately 3.3U(mf) as the mixing of rice husk with the bed was good with a high degree of penetration into the sand bed, and the resulting ash retained its amorphous form with low residual carbon content and minimal sand contamination.
124 citations
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TL;DR: In this article, a microchannel monolith photoreactor was investigated for photocatalytic CO 2 reduction with H 2 O in gaseous phase using TiO 2 and indium doped TiO2 nanoparticles.
Abstract: In this study, a microchannel monolith photoreactor was investigated for photocatalytic CO 2 reduction with H 2 O in gaseous phase using TiO 2 and indium doped TiO 2 nanoparticles. Effects of operating parameters such as monolith geometry, reaction temperature, indium loading and feed ratios were investigated to maximize yield rates. CO and CH 4 were the main products with maximum yield rates being 962 and 55.40 μmol g-catal. −1 h −1 , respectively and selectivity being 94.39 and 5.44%, respectively. The performance of the photoreactor for CO production was in the order of In/TiO 2 -monolith (962 μmol g-catal. −1 h −1 ) > TiO 2 -monolith (43 μmol g-catal. −1 h −1 ) > TiO 2 -SS cell (5.2 μmol g-catal. −1 h −1 ). More importantly, the quantum efficiency in microchannel monolith reactor was much higher (0.10%) than that of the cell type reactor (0.0005%) and previously reported internally illuminated monolith reactor (0.012%). The significantly improved quantum efficiency indicated photon energy was efficiently utilized in the microchannel monolith reactor. A simple kinetic model based on Langmuir-Hinshelwood model, developed to incorporate coupled effect of adsorptive photocatalytic reduction and oxidation process, fitted-well with the experimental data.
124 citations
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TL;DR: In this paper, an initial seven-factor structure based on factor analysis of a pilot study with ninety-seven respondents from the green community of Johor Darul Ta'zim Football Association was identified.
124 citations
Authors
Showing all 21852 results
Name | H-index | Papers | Citations |
---|---|---|---|
Xin Li | 114 | 2778 | 71389 |
Muhammad Imran | 94 | 3053 | 51728 |
Ahmad Fauzi Ismail | 93 | 1357 | 40853 |
Bin Tean Teh | 92 | 471 | 33359 |
Muhammad Farooq | 92 | 1341 | 37533 |
M. A. Shah | 92 | 583 | 37099 |
Takeshi Matsuura | 85 | 540 | 26188 |
Peter Willett | 76 | 479 | 29037 |
Peter C. Searson | 74 | 374 | 21806 |
Ozgur Kisi | 73 | 478 | 19433 |
Imran Ali | 72 | 300 | 19878 |
S.M. Sapuan | 70 | 713 | 19175 |
Peter J. Fleming | 66 | 529 | 24395 |
Mohammad Jawaid | 65 | 503 | 19471 |
Muhammad Tahir | 65 | 1636 | 23892 |