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RISS 인기검색어
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- 저자 : Shahzad Munir (검색결과 4 건)
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Shahzad Munir,Muhammad Israr Siddiqui,Morgan Heikal,Abdul Rashid Abdul Aziz,Guillaume de Sercey 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.11
The Proper orthogonal decomposition (POD) method has seen increasingly used in the last two decades and has a lot of applicationsfor the comparison of experimental and numerically simulated data. The POD technique is often used to extract information about coherentstructures dominating the flow. The two-dimensional and two-component instantaneous velocity fields of both liquid and gas phasesof a slug flow were obtained by Particle image velocimetry (PIV) combined with Laser induced fluorescence (LIF). POD was applied tothe velocity fields of both phases separately to identify the coherent flow structures. We focused on POD eigenmodes and their correspondingenergy contents of both liquid and gas phases. The sum of first few eigenmodes that contain maximum turbulent kinetic energyof the flow represents the coherent structures. In the case of liquid phase the first eigenmode contained 42% of the total energy, while inthe gas phase the decaying energy distribution was flat. The POD results showed that the coefficient of mode 1 for the liquid phase oscillatedbetween positive and negative values and had the highest amplitude. For the visualization of coherent motion different linear combinationsof eigenmodes for liquid and gas phases were used. The phenomena of turbulent bursting events associated with Q2 events(low momentum fluid moving away from the wall) and Q4 events (high momentum flow moving towards the wall) were also discussedto assess its contribution in turbulence production.
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Probabilistic Analysis To Analyze Uncertainty Incorporating Copula Theory
Li Bin,Shahzad Muhammad,Munir Hafiz Mudassir,Nawaz Asif,Fahal Nabeel Abdelhadi Mohamed,Khan Muhammad Yousaf Ali,Ahmed Sheeraz 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
The emerging trend of distribution generation with existing power system network leads uncertainty factor. To handle this uncertainty, it is a provocation for the power system control, planning, and operation engineers. Although there are numerous techniques to model and evaluate these uncertainties, but in this paper the integration of Copula theory with Improved Latin-hypercube Sampling (ILHS) are incorporated for Probabilistic load Flow (PLF) evaluation. In probabilistic research approaches, the dominant interest is to achieve appropriate modelling of input random variables and reduce the computational burden. To address the said problem, Copula theory is applied to execute the modelling and interaction among input random variables of the active power system network. Considering the real discrete data, the ILHS is adopted. The load fl ow accessibility of the power system is carefully modeled by considering the dependence and uncertainty factors. Modifi ed IEEE 14-bus system is employed to analyze the effi ciency and performance of the proposed model using active power system network. Output power of two wind energy farms situated in New Jersey are obtained for accuracy comparison. The proposed technique shows the superiority in PLF evaluation.
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Jing Zhao,Zhandi Wang,Rong Jiao,Qionglian Wan,Lianchun Wang,Liangxing Li,Yali Yang,Shahzad Munir The Korean Society of Ginseng 2024 Journal of Ginseng Research Vol.48 No.2
Background: Plant health is directly related to the change in native microbial diversity and changes in soil health have been implicated as one of the main cause of root rot. However, scarce information is present regarding allelopathic relationship of Panax notoginseng root exudates and pathogenic fungi Fusarium oxysporum in a continuous cropping system. Methods: We analyzed P. notoginseng root exudate in the planting soil for three successive years to determine phenolic acid concentration using GC-MS and HPLC followed by effect on the microbial community assembly. Antioxidant enzymes were checked in the roots to confirm possible resistance in P. notoginseng. Results: Total 29 allelochemicals in the planting soil extract was found with highest concentration (10.54 %) of p-hydroxybenzoic acid. The HPLC showing a year-by-year decrease in p-hydroxybenzoic acid content in soil of different planting years, and an increase in population of F. oxysporum. Moreover, community analysis displayed negative correlation with 2.22 mmol. L<sup>-1</sup> of p-hydroxybenzoic acid correspond to an 18.1 % population of F. oxysporum. Furthermore, in vitro plate assay indicates that medium dose of p-hydroxybenzoic acid (2.5-5 mmol. L<sup>-1</sup>) can stimulate the growth of F. oxysporum colonies and the production of macroconidia, as well as cell wall-degrading enzymes. We found that 2-3 mmol. L<sup>-1</sup> of p-hydroxybenzoic acid significantly increased the population of F. oxysporum. Conclusion: In conclusion, our study suggested that p-hydroxybenzoic acid have negative effect on the root system and modified the rhizosphere microbiome so that the host plant became more susceptible to root rot disease.
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