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您的检索式：作者名="Imran FAISAL"
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| 1 | 磁辐射3D非稳态流动体系的传热强化:Al和γ-Al2O3纳米粒子的对比研究(英文)显示文摘本文研究了水和乙二醇基纳米流体的胶体性质。考虑了洛伦兹力和热辐射的影响,通过相似变化,完成了控制方程的无量纲转化。然后,应用龙格-库塔法,对流动模型的非线性特性进行数值分析,对有关流速、温度、流线、等温线等流动参数的特性进行图解分析。结果表明,洛伦兹力有利于旋转速度,不利于其他旋转参数。体积分数和热辐射参数对Al和γ-Al2O3纳米流体的温度有正相关强化作用。此外,对于较高的旋转参数,研究其反向流动问题。与文献结果进行了比较,结果显示具有较高的吻合度。旋转有利于流体的流动速度,辐射流体越多,流体温度越高,而且体积分数的增加提高了热导率和电导率。 | Naveed AHMED ADNAN Umar KHAN Syed Zulfiqar Ali ZAIDI Imran FAISAL Syed Tauseef MOHYUD-DIN | 2019 | Journal of Central South University2019，26，5： | 1 |
| 2 | Negotiation Based Combinatorial Double Auction Mechanism in Cloud Computing显示文摘Cloud computing is a demanding business platform for services related to the field of IT.The goal of cloud customers is to access resources at a sustainable price,while the goal of cloud suppliers is to maximize their services utilization.Previously,the customers would bid for every single resource type,which was a limitation of cloud resources allocation.To solve these issues,researchers have focused on a combinatorial auction in which the resources are offered by the providers in bundles so that the user bids for their required bundle.Still,in this allocation mechanism,some drawbacks need to be tackled,such as due to the lower average bid price the users are dropped from the auction process.To solve this problem,we proposed a“Negotiation based Combinatorial Double Auction Mechanism for Resource Allocation(N-CDARA)in cloud computing”.The proposed method negotiates with dropped users.Lower average bid price users are asked by our proposed mechanism to increase their bids,as by the quoted bids they will be dropped by the auctioneer.Most of the users that are close to winning accept the proposal and increase their bid prices.The proposed mechanism is implemented in a CloudSim simulation toolkit.Results are compared with the latest model and performance study shows that in our proposed scheme more users win and get their requested services and the utilization of offered services is increased up to 18.4%than the existing schemes. | Zakir Ullah Asif Umer Mahdi Zaree Jamil Ahmad Faisal Alanazi Noor Ul Amin Arif Iqbal Umar Ali Imran Jehangiri Muhammad Adnan | 2021 | Computers, Materials & Continua2021，，11： | 0 |
| 3 | In silico Prediction and Analysis of Potential Off-Targets and Off-Target Mutation Detection in StERF3-Gene Edited Potato Plants显示文摘The imperative aspect of the CRISPR/Cas9 system is a short stretch of 20 nucleotides of gRNA that control the overall specificity.Due to the small size,the chance of its multiple occurrences in the genome increases;however,a few mismatches are tolerated by the Cas9 endonuclease activity.An accurate and careful in silico-based off-target prediction while target selection is preferred to address the issue.These predictions are based on a comprehensive set of selectable parameters.Therefore,we investigated the possible off-target prediction and their screening in StERF3 gene-edited potato plants while developing StERF3-loss-of-function mutants using CRISPR/Cas9 approach.The 201 off-targets for the selected targets of the StERF3 gene were predicted,and 79 werefiltered as potential off-targets.Of these 79,twenty-five off-targets showed scores with defined cut-off values<0.5 and were analyzed in Sterf3-edited potato plants compared to wild-type plants.No off-targeting was found to have occurred in edited plants. | Hafiza Arooj Razzaq Siddra Ijaz Imran Ul Haq Faisal Saeed Awan | 2023 | Phyton-International Journal of Experimental Botany2023，92，8： | 0 |
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