|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Screening and evaluation of reliable traits of upland cotton(Gossypium hirsutum L.)genotypes for salt tolerance at the seedling growth stage显示文摘Background:Salt stress significantly inhibits the growth,development,and productivity of cotton because of osmotic,ionic,and oxidative stresses.Therefore,the screening and development of salt tolerant cotton cultivars is a key issue towards sustainable agriculture.This study subjected 11 upland cotton genotypes at the seedling growth stage to five different salt concentrations and evaluated their salt tolerance and reliable traits.Results:Several morpho-physiological traits were measured after 10 days of salinity treatment and the salt tolerance performance varied significantly among the tested cotton genotypes.The optimal Na Cl concentration for the evaluation of salt tolerance was 200 mmol·L-1.Membership function value and salt tolerance index were used to identify the most consistent salt tolerance traits.Leaf relative water content and photosynthesis were identified as reliable indicators for salt tolerance at the seedling stage.All considered traits related to salt tolerance indices were significantly and positively correlated with each other except for malondialdehyde.Cluster heat map analysis based on the morpho-physiological salt tolerance-indices clearly discriminated the 11 cotton genotypes into three different salt tolerance clusters.Cluster I represented the salt-tolerant genotypes(Z9807,Z0228,and Z7526)whereas clusters II(Z0710,Z7514,Z1910,and Z7516)and III(Z0102,Z7780,Z9648,and Z9612)represented moderately salttolerant and salt-sensitive genotypes,respectively.Conclusions:A hydroponic screening system was established.Leaf relative water content and photosynthesis were identified as two reliable traits that adequately represented the salt tolerance of cotton genotypes at the seedling growth stage.Furthermore,three salt-tolerant genotypes were identified,which might be used as genetic resources for the salt-tolerance breeding of cotton. | SIKDER Ripon Kumar WANG Xiangru JIN Dingsha ZHANG Hengheng GUI Huiping DONG Qiang PANG Nianchang ZHANG Xiling SONG Meizhen | 2020 | Journal of Cotton Research2020，3，2： | 5 |
| 2 | 碳纤维复合材料无人机叶片的仿真与分析显示文摘为得到碳纤维在无人机叶片中最优的铺层方式,通过Workbench中的ACP(ANSYS Composite PrepPost)模块,对碳纤维复合材料无人机叶片的铺层进行设计。利用SolidWorks三维建模软件建立无人机叶片的三维模型,并采用HyperMesh对叶片进行几何清理、划分网格等,利用Ansys Workbench Fluent对无人机叶片的不同转速进行流体仿真,提取叶片表面压力载荷,对不同铺层的碳纤维复合材料无人机叶片进行仿真与分析,得到碳纤维复合材料无人机叶片的力学仿真结果,并基于Tsai-Wu失效准则,计算每层铺层的失效系数,进而对比得出最优的碳纤维铺层方式为[0°,90°,90°,90°,0°]。 | 吴瑕 姚菊明 王琰 RIPON Das JIRI Militky MOHANAPRIYA Venkataraman 祝国成 | 2022 | 纺织学报2022，43，8： | 3 |
| 3 | An Improved Jellyfish Algorithm for Multilevel Thresholding of Magnetic Resonance Brain Image Segmentations显示文摘Image segmentation is vital when analyzing medical images,especially magnetic resonance(MR)images of the brain.Recently,several image segmentation techniques based on multilevel thresholding have been proposed for medical image segmentation;however,the algorithms become trapped in local minima and have low convergence speeds,particularly as the number of threshold levels increases.Consequently,in this paper,we develop a new multilevel thresholding image segmentation technique based on the jellyfish search algorithm(JSA)(an optimizer).We modify the JSA to prevent descents into local minima,and we accelerate convergence toward optimal solutions.The improvement is achieved by applying two novel strategies:Rankingbased updating and an adaptive method.Ranking-based updating is used to replace undesirable solutions with other solutions generated by a novel updating scheme that improves the qualities of the removed solutions.We develop a new adaptive strategy to exploit the ability of the JSA to find a best-so-far solution;we allow a small amount of exploration to avoid descents into local minima.The two strategies are integrated with the JSA to produce an improved JSA(IJSA)that optimally thresholds brain MR images.To compare the performances of the IJSA and JSA,seven brain MR images were segmented at threshold levels of 3,4,5,6,7,8,10,15,20,25,and 30.IJSA was compared with several other recent image segmentation algorithms,including the improved and standard marine predator algorithms,the modified salp and standard salp swarm algorithms,the equilibrium optimizer,and the standard JSA in terms of fitness,the Structured Similarity Index Metric(SSIM),the peak signal-to-noise ratio(PSNR),the standard deviation(SD),and the Features Similarity Index Metric(FSIM).The experimental outcomes and the Wilcoxon rank-sum test demonstrate the superiority of the proposed algorithm in terms of the FSIM,the PSNR,the objective values,and the SD;in terms of the SSIM,IJSA was competitive with the others. | Mohamed Abdel-Basset Reda Mohamed Mohamed Abouhawwash Ripon K.Chakrabortty Michael J.Ryan Yunyoung Nam | 2021 | Computers, Materials & Continua2021，，9： | 2 |
| 4 | Process Algebraic Support for Web Service Composition显示文摘 | Shamim H Ripon | 2010 | ACM SIGSOb''T Software Engineering Notes2010，35，2： | 1 |
| 5 | A unified tabular method for modeling variants of software product line显示文摘 | SHAMIM H Ripon | 2012 | ACM SIGSOFT Software Engi- neering Notes2012，37，3： | 1 |
| 6 | A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization 显示文摘 | Ripon K S N Kwong S Man K F | 2007 | Information Sciences2007，177，2： | 1 |
| 7 | An evolutionary approach for solving the multi-objective job-shop scheduling problem 显示文摘 | RIPON K S N TSANG C H KWONG S | 2007 | Studies in Computational Intelligence2007，49，： | 1 |
| 8 | A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective op- timization 显示文摘 | Kazi Shah Nawaz Ripon Sam Kwong Man K F | 2007 | Information Sciences2007，177，： | 1 |
| 9 | A Domain-independent Data Cleaning Algorithm for Detecting Similar-duplicates显示文摘 | Ripon K S N Rahman A | 2010 | Journal of Computers2010，5，12： | 1 |
| 10 | A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization显示文摘 | Kazi Shah Nawaz Ripon Sam Kwong K.F. Man | 2006 | Information Sciences2006，，2： | 1 |
| 11 | A real-coding jumping gene genetic algorithm (RJGGA) for multi- objective optimization显示文摘 | Ripon K S N Kwong S Man K F | 2007 | Information Sciences2007，177，2： | 1 |
| 12 | Adaptive variable neighborhood search for solving multi-objective facility layout problems with unequal area facilities显示文摘 | Ripon K S N Glette K Khan K N | 2013 | Swarm and Evolutionary Computation2013，8，： | 1 |
| 13 | Voyages in the South China Sea, 1622显示文摘 | RIPON E | 2004 | in Revista de Cuhura (RC) International Edition2004，10，12： | 1 |
| 14 | The implications of blockchain-coordinated information sharing within a supply chain: A simulation study显示文摘The profitability of a supply chain(SC)is proportional to the stability of all its stakeholders as well as their consistent information sharing with an effective and efficient communication mechanism.Various inefficiencies,such as the bullwhip effect(BWE)and product unavailability,may be caused by a lack of coordination in an SC.The importance of sharing consumer demand has been quantified by comprehensive studies under the assumption that all SC participants will access the same information.However,only a few studies have studied the effect of minimal coordination or limited visibility of information while considering their effect on the overall efficiency of an SC.This work primarily leverages blockchain technology(BCT)to create a simulation model.To do this,an SC BWE-based model is initially developed.Following that,a blockchain-based robust information sharing system is simulated.Furthermore,information sharing is challenging,and SC stakeholders may not really trust each other and hence be reluctant to share sensitive information.Considering that,this paper propose an improved proof-ofauthority(PoA)consensus algorithm that will increase trust in a decentralized SC model.Multiple experiments are carried out to demonstrate the effectiveness of our approach,and the simulation results clearly demonstrate the effectiveness of information sharing in a supply chain via blockchain,as well as that trust between partners tends to increase overall SC efficiency and reduce BWE. | Aaliya Sarfaraz Ripon K.Chakrabortty Daryl L.Essam | 2023 | Blockchain(Research and Applications)2023，4，1： | 1 |
| 15 | A real coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization显示文摘 | Ripon K S N Sam K Man K F | 2007 | Inf Sci2007，177，2： | 1 |
| 16 | Elicitation and modeling non-functional re- quirements:a POS case study显示文摘 | RAHMAN M RIPON S | 2013 | International Journal of Future Computer and Communication2013，2，5： | 1 |
| 17 | Clinical predictors of severe dengue:a systematic review and meta-analysis显示文摘Background:Severe dengue is a life-threatening complication;rapid identifcation of these cases,followed by adequate management is crucial to improve the clinical prognosis.Therefore,this study aimed to identify risk factors and predictors of severe dengue.Methods:A literature search for studies reporting risk factors of severe dengue among individuals with dengue virus infection was conducted in PubMed,Scopus and Web of Science database from inception to December 31,2020.Pooled odds ratios(ORs)for patients’demographic characteristics,co-morbidities,and warning signs were estimated using an inverse variance heterogeneity model.Results:We included 143 articles in the meta-analysis from a total of 13090 articles retrieved from the literature search.The risk factors of severe dengue were:being a child[OR=1.96;95%confdence interval(CI):1.22–3.13],secondary infection(OR=3.23;95%CI:2.28–4.57),and patients with pre-existing diabetes(OR=2.88;95%CI:1.72–4.81)and renal disease(OR=4.54;95%CI:1.55–13.31).Warning signs strongly associated with severe disease were increased haematocrit with a concurrent decrease in platelet count(OR=5.13;95%CI:1.61–16.34),abdominal pain(OR=2.00;95%CI:1.49–2.68),lethargy(OR=2.73;95%CI:1.05–7.10),vomiting(OR=1.80;95%CI:1.43–2.26),hepa‑tomegaly(OR=5.92;95%CI:3.29–10.66),ascites(OR=6.30;95%CI:3.75–10.60),pleural efusion(OR=5.72;95%CI:3.24–10.10)and melena(OR=4.05;95%CI:1.64–10.00).Conclusions:Our meta-analysis identifed children,secondary infection,diabetes and renal disease(s)as important predictors of severe dengue.Our fnding also supports the predictive ability of the WHO warning signs to iden‑tify severe dengue.These fndings are useful for clinicians to identify severe dengue for management and timely interventions. | Tsheten Tsheten Archie C.A.Clements Darren J.Gray Ripon K.Adhikary Luis Furuya‑Kanamori Kinley Wangdi | 2021 | Infectious Diseases of Poverty2021，10，5： | 0 |
| 18 | Earthquake response of wrap faced embankment on soft clay soil in Bangladesh显示文摘A wrap-faced embankment model on soft clay soil subjected to earthquake motion was investigated in this study.The study was conducted both experimentally using a shaking table and numerically using PLAXIS 3D software.The amplification of acceleration,displacement,pore water pressure,and strain response were measured while varying input accelerations and surcharge pressures.Time histories of the Kobe record of the 1995 Hanshin earthquake were used as the input seismic motion.The input acceleration was 0.05 g,0.1 g,0.15 g,and 0.2 g,and different surcharge pressures were 0.70 kPa,1.12 kPa,and 1.72 kPa with relative density of Sylhet sand fixed to 48%.The output data from the shaking table tests and the numerical analysis performed through the PLAXIS 3D software were compared,and these findings were also compared with some earlier similar studies.The acceleration amplification,displacement,pore water pressure,and strain(%)changed along the elevation of the embankment and acceleration response increased with the increase in base acceleration.The increase was more noticeable at higher elevations.These findings enrich the knowledge of predicting the dynamic behavior of wrap-faced embankments and enable the design parameters to be adjusted more accurately. | Ripon Hore Sudipta Chakraborty Kamruzzaman Kamrul Ayaz Mahmud Shuvon Mehedi AAnsary | 2023 | Earthquake Engineering and Engineering Vibration2023，22，3： | 0 |
| 19 | 纳米纤维复合结构空气过滤材料性能研究显示文摘为深入探究影响纳米纤维膜过滤机制以开发和应用高端空气过滤材料,分析了静电纺纳米纤维膜和聚四氟乙烯拉伸膜与非织造布复合的空气过滤材料结构与性能,分别对其形貌、热力学性能、透气性等进行了分析与评价。实验结果表明,过滤材料本身的结构和纤维直径以及表面电势对其过滤性能影响显著,纤维直径越细,膜孔径越小,纤维间的结构会相对紧密,从而导致透气性较差,过滤效率更好。其中表面电势是影响材料过滤效率的主要因素,表面电势越高,过滤效果越好。静电纺锦纶6纳米纤维膜/聚酯纤维非织造布(PA6/PET)复合空气过滤材料表面电势最高,达1.414 kV,其过滤效率最佳,达到99.57%。PA6/木浆纸复合过滤材料表面电势最小,为0.07 kV,过滤效果仅为22.28%。 | 胡蝶飞 王琰 姚菊明 DAS Ripon MILITKY Jiri VENKATARAMAN Mohanapriya 祝国成 | 2023 | 纺织学报2023，44，5： | 0 |
| 20 | Medical Feature Selection Approach Based on Generalized Normal Distribution Algorithm显示文摘This paper proposes a new pre-processing technique to separate the most effective features from those that might deteriorate the performance of the machine learning classifiers in terms of computational costs and classification accuracy because of their irrelevance,redundancy,or less information;this pre-processing process is often known as feature selection.This technique is based on adopting a new optimization algorithm known as generalized normal distribution optimization(GNDO)supported by the conversion of the normal distribution to a binary one using the arctangent transfer function to convert the continuous values into binary values.Further,a novel restarting strategy(RS)is proposed to preserve the diversity among the solutions within the population by identifying the solutions that exceed a specific distance from the best-so-far and replace them with the others created using an effective updating scheme.This strategy is integrated with GNDO to propose another binary variant having a high ability to preserve the diversity of the solutions for avoiding becoming stuck in local minima and accelerating convergence,namely improved GNDO(IGNDO).The proposed GNDO and IGNDO algorithms are extensively compared with seven state-of-the-art algorithms to verify their performance on thirteen medical instances taken from the UCI repository.IGNDO is shown to be superior in terms of fitness value and classification accuracy and competitive with the others in terms of the selected features.Since the principal goal in solving the FS problem is to find the appropriate subset of features that maximize classification accuracy,IGNDO is considered the best. | Mohamed Abdel-Basset Reda Mohamed Ripon K.Chakrabortty Michael J.Ryan Yunyoung Nam Mohamed Abouhawwash | 2021 | Computers, Materials & Continua2021，，12： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员