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| 1 | 工业用纯钛等径角挤压的显微组织控制方法综述(英文)显示文摘综述了工业用纯钛(CP-Ti)大塑性变形技术的等径角挤压工艺,主要集中在等径角挤压参数的影响,包括通道角和曲率角、挤压路径、挤压温度、挤压速度、内部产热、挤压道次和背压。为了获得CP-Ti的最大均匀性、晶粒细化和提高力学性能,对不同等径角挤压CP-Ti进行了表征,如显微组织、应力不均匀性和力学性能。研究表明,在挤压温度为450°C,挤压速度为1-3 mm/s,挤压路径为BC,加载背压,通道角和曲率角分别为90°和20°的条件下能获得最均匀的超细组织。 | Peiman Shahbeigi Roodposhti Nasim Farahbakhsh Apu Sarkar Korukonda Linga Murty | 2015 | Transactions of Nonferrous Metals Society of China2015，25，5： | 3 |
| 2 | mLBOA:A Modified Butterfly Optimization Algorithm with Lagrange Interpolation for Global Optimization显示文摘Though the Butterfly Bptimization Algorithm(BOA)has already proved its effectiveness as a robust optimization algorithm,it has certain disadvantages.So,a new variant of BOA,namely mLBOA,is proposed here to improve its performance.The proposed algorithm employs a self-adaptive parameter setting,Lagrange interpolation formula,and a new local search strategy embedded with Levy flight search to enhance its searching ability to make a better trade-off between exploration and exploitation.Also,the fragrance generation scheme of BOA is modified,which leads for exploring the domain effectively for better searching.To evaluate the performance,it has been applied to solve the IEEE CEC 2017 benchmark suite.The results have been compared to that of six state-of-the-art algorithms and five BOA variants.Moreover,various statistical tests,such as the Friedman rank test,Wilcoxon rank test,convergence analysis,and complexity analysis,have been conducted to justify the rank,significance,and complexity of the proposed mLBOA.Finally,the mLBOA has been applied to solve three real-world engineering design problems.From all the analyses,it has been found that the proposed mLBOA is a competitive algorithm compared to other popular state-of-the-art algorithms and BOA variants. | Sushmita Sharma Sanjoy Chakraborty Apu Kumar Saha Sukanta Nama Saroj Kumar Sahoo | 2022 | Journal of Bionic Engineering2022，19，4： | 2 |
| 3 | Antimicrobial activity and brine shrimp lethality bioassay of the leaves extract of Dillenia indica linn显示文摘 | Apu AS Muhit MS Tareq SM Pathan AH Jamaluddin ATM Ahmed M | 2010 | J Young Pharm2010，2，1： | 1 |
| 4 | Isolation and identification of compounds from the leaf extract of Dillenia indica Linn显示文摘 | Muhit MA Tareq SM Apu AS Basak D Islam SM | 2010 | Bangladesh Pharm J2010，13，1： | 1 |
| 5 | Hoeganaes Offers Higher Density at Lower Cost 显示文摘 | C apus J Pickering S Weaver A | 1994 | Metal Powder Report1994，49，78： | 1 |
| 6 | Phytochemical screening and in vitro bioactivities of the extracts of aerial part of Boerhavia diffusa Linn.显示文摘Objective:To investigate the bioactivities of crude n-hexane,ethyl acetate and methanol extracts of aerial part of Boerhavia diffusa Linn.(B.diffusa) and its phytochemical analysis.Methods: the identification of phyloconstituents and assay of antioxidant,thrombolytic,cytotoxic, antimicrobial activities were conducted using specific standard in vitro procedures.Results:The results showed that the plant extracts were a rich source of phytoconstituents.Methanol extract showed higher antioxidant,thrombolytic activity and less cytotoxic activity than those of n-hexane and ethyl acetate extracts of A diffusa.Among the bioactivities,antioxidant activity was the most notable compared to the positive control and thus could be a potential rich source of natural antioxidant.In case of antimicrobial screening,crude extracts of the plant showed remarkable antibacterial activity against tested microorganisms.All the extracts showed significant inhibitory activity against Candida albicuns,at a concentration of 1000 μg/disc.Conclusions:The present findings suggest that,the plant widely available in Bangladesh,could be a prominent source of medicinally important natural compounds. | Apurba Sarker Apu Mahmuda Sultana Liza A.T.M.Jamaluddin Md.Amran Howlader Repon Kumer Saha Farhana Rizwan Nishat Nasrin | 2012 | Asian Pacific Journal of Tropical Biomedicine2012，2，9： | 1 |
| 7 | Community -based transboundary ecotourism in the Heart of Borneo: a case study of the Kelabit Highlands of Malaysia and the Kerayan High- lands of Indonesia显示文摘 | Hitchner Sarah L Apu Florence Lapu Tarawe Lian | 2009 | Journal of Ecotourism2009，8，2： | 1 |
| 8 | Prevalence of CYP2C19 alleles, pharmacokinetic and pharmacodynamic variation of clopidogrel and prasugrel in Bangladeshi population 显示文摘 | Bin Sayeed MS Hasan Apu MN Munir MT | 2015 | ClinExpPhar- macolphysiol2015，42，5： | 1 |
| 9 | Effect of Irradiation on the Microstmcture and Mechanical Behavior of Nanocrystal]ine Nickel显示文摘 | Garima S Apu S Jalaj V | 2011 | Scripta Material/a2011，65，8： | 1 |
| 10 | Study of α Irradiation on the Microstructure and the Mechanical Properties of Nanocrystalline Ni显示文摘 | Garima Sharma P. Mukherjee Arnomitra Chatterjee N. Gayathri Apu Sarkar J.K. Chakravartty | 2013 | Acta Materialia2013，，： | 1 |
| 11 | A robust method for parameter estimation of AR systems using empirical mode decomposition显示文摘 | Hasan M K Apu M S Molla M K I | 2010 | Signal Image and Video Processing2010，4，4： | 1 |
| 12 | 2011让思考重新上路 | Apu | 2011 | 商务旅行2011，0，1： | 0 |
| 13 | A Hybrid Moth Flame Optimization Algorithm for Global Optimization显示文摘The Moth Flame Optimization(MFO)algorithm shows decent performance results compared to other meta-heuristic algorithms for tackling non-linear constrained global optimization problems.However,it still suffers from obtaining quality solution and slow convergence speed.On the other hand,the Butterfly Optimization Algorithm(BOA)is a comparatively new algorithm which is gaining its popularity due to its simplicity,but it also suffers from poor exploitation ability.In this study,a novel hybrid algorithm,h-MFOBOA,is introduced,which integrates BOA with the MFO algorithm to overcome the shortcomings of both the algorithms and at the same time inherit their advantages.For performance evaluation,the proposed h-MFOBOA algorithm is applied on 23 classical benchmark functions with varied complexity.The tested results of the proposed algorithm are compared with some well-known traditional meta-heuristic algorithms as well as MFO variants.Friedman rank test and Wilcoxon signed rank test are employed to measure the performance of the newly introduced algorithm statistically.The computational complexity has been measured.Moreover,the proposed algorithm has been applied to solve one constrained and one unconstrained real-life problems to examine its problem-solving capability of both type of problems.The comparison results of benchmark functions,statistical analysis,real-world problems confirm that the proposed h-MFOBOA algorithm provides superior results compared to the other conventional optimization algorithms. | Saroj Kumar Sahoo Apu Kumar Saha | 2022 | Journal of Bionic Engineering2022，19，5： | 0 |
| 14 | Comparative Performance Analysis of Differential Evolution Variants on Engineering Design Problems显示文摘Because of their superior problem-solving ability,nature-inspired optimization algorithms are being regularly used in solving complex real-world optimization problems.Engineering academics have recently focused on meta-heuristic algorithms to solve various optimization challenges.Among the state-of-the-art algorithms,Differential Evolution(DE)is one of the most successful algorithms and is frequently used to solve various industrial problems.Over the previous 2 decades,DE has been heavily modified to improve its capabilities.Several DE variations secured positions in IEEE CEC competitions,establishing their efficacy.However,to our knowledge,there has never been a comparison of performance across various CEC-winning DE versions,which could aid in determining which is the most successful.In this study,the performance of DE and its eight other IEEE CEC competition-winning variants are compared.First,the algorithms have evaluated IEEE CEC 2019 and 2020 bound-constrained functions,and the performances have been compared.One unconstrained problem from IEEE CEC 2011 problem suite and five other constrained mechanical engineering design problems,out of which four issues have been taken from IEEE CEC 2020 non-convex constrained optimization suite,have been solved to compare the performances.Statistical analyses like Friedman's test and Wilcoxon's test are executed to verify the algorithm’s ability statistically.Performance analysis exposes that none of the DE variants can solve all the problems efficiently.Performance of SHADE and ELSHADE-SPACMA are considerable among the methods used for comparison to solve such mechanical design problems. | Sanjoy Chakraborty Apu Kumar Saha Sushmita Sharma Saroj Kumar Sahoo Gautam Pal | 2022 | Journal of Bionic Engineering2022，19，4： | 0 |
| 15 | 眼界显示文摘美国2021年1月3日,加利福尼亚州塔扎纳市普罗维登斯-西奈医疗中心的新冠重症监护病房,一位新冠肺炎患者恩病房已满只能睡在走廊的病床上。根据约翰·霍普金斯大学的数据分析,在过去一周内(12月28日到1月3日),美国平均每33秒就有1例与新冠肺炎相关的死亡病例。 | Apu Gomes(图) | 2021 | 南方人物周刊2021，，1： | 0 |
| 16 | A Novel Variant of Moth Flame Optimizer for Higher Dimensional Optimization Problems显示文摘Moth Flame Optimization(MFO)is a nature-inspired optimization algorithm,based on the principle of navigation technique of moth toward moon.Due to less parameter and easy implementation,MFO is used in various field to solve optimization problems.Further,for the complex higher dimensional problems,MFO is unable to make a good trade-off between global and local search.To overcome these drawbacks of MFO,in this work,an enhanced MFO,namely WF-MFO,is introduced to solve higher dimensional optimization problems.For a more optimal balance between global and local search,the original MFO’s exploration ability is improved by an exploration operator,namely,Weibull flight distribution.In addition,the local optimal solutions have been avoided and the convergence speed has been increased using a Fibonacci search process-based technique that improves the quality of the solutions found.Twenty-nine benchmark functions of varying complexity with 1000 and 2000 dimensions have been utilized to verify the projected WF-MFO.Numerous popular algorithms and MFO versions have been compared to the achieved results.In addition,the robustness of the proposed WF-MFO method has been evaluated using the Friedman rank test,the Wilcoxon rank test,and convergence analysis.Compared to other methods,the proposed WF-MFO algorithm provides higher quality solutions and converges more quickly,as shown by the experiments.Furthermore,the proposed WF-MFO has been used to the solution of two engineering design issues,with striking success.The improved performance of the proposed WF-MFO algorithm for addressing larger dimensional optimization problems is guaranteed by analyses of numerical data,statistical tests,and convergence performance. | Saroj Kumar Sahoo Sushmita Sharma Apu Kumar Saha | 2023 | Journal of Bionic Engineering2023，20，5： | 0 |
| 17 | Hydrodynamic dispersion of reactive solute in a Hagen–Poiseuille flow of a layered liquid显示文摘An analysis of the solute dispersion in the liquid flowing through a pipe by means of Aris–Barton's ‘method of moments', under the joint effect of some finite yield stress and irreversible absorption into the wall is presented in this paper. The liquid is considered as a three-layer liquid where the center region is Casson liquid surrounded by Newtonian liquid layer. A significant change from previous modelling exercises in the study of hydrodynamic dispersion, different molecular diffusivity has been considered for the different region yet to be constant. For all time period, finite difference implicit scheme has been adopted to solve the integral moment equation arising from the unsteady convective diffusion equation. The purpose of the study is to find the dependency of solute transport coefficients on absorption parameter, yield stress, viscosity ratio, peripheral layer variation and in addition with various diffusivity coefficients in different liquid layers. This kind of study may be useful for understanding the dispersion process in the blood flow analysis. | Sudip Debnath Apu Kumar Saha B.S.Mazumder Ashis Kumar Roy | 2017 | Chinese Journal of Chemical Engineering2017，25，7： | 0 |
| 18 | Non-dominated Sorting Advanced Butterfly Optimization Algorithm for Multi-objective Problems显示文摘This paper uses the Butterfly Optimization Algorithm(BOA)with dominated sorting and crowding distance mechanisms to solve multi-objective optimization problems.There is also an improvement to the original version of BOA to alleviate its drawbacks before extending it into a multi-objective version.Due to better coverage and a well-distributed Pareto front,non-dominant rankings are applied to the modified BOA using the crowding distance strategy.Seven benchmark functions and eight real-world problems have been used to test the performance of multi-objective non-dominated advanced BOA(MONSBOA),including unconstrained,constrained,and real-world design multiple-objective,highly nonlinear constraint problems.Various performance metrics,such as Generational Distance(GD),Inverted Generational Distance(IGD),Maximum Spread(MS),and Spacing(S),have been used for performance comparison.It is demonstrated that the new MONSBOA algorithm is better than the compared algorithms in more than 80%occasions in solving problems with a variety of linear,nonlinear,continuous,and discrete characteristics based on the Pareto front when compared quantitatively.From all the analysis,it may be concluded that the suggested MONSBOA is capable of producing high-quality Pareto fronts with very competitive results with rapid convergence. | Sushmita Sharma Nima Khodadadi Apu Kumar Saha Farhad Soleimanian Gharehchopogh Seyedali Mirjalili | 2023 | Journal of Bionic Engineering2023，20，2： | 0 |
| 19 | A new parameter setting-based modified differential evolution for function optimization显示文摘The population-based efficient iterative evolutionary algorithm(EA)is differential evolution(DE).It has fewer control parameters but is useful when dealing with complex problems of optimization in the real world.A great deal of progress has already been made and implemented in various fields of engineering and science.Nevertheless,DE is prone to the setting of control parameters in its performance evaluation.Therefore,the appropriate adjustment of the time-consuming control parameters is necessary to achieve optimal DE efficiency.This research proposes a new version of the DE algorithm control parameters and mutation operator.For the justifiability of the suggested method,several benchmark functions are taken from the literature.The test results are contrasted with other literary algorithms. | Sukanta Nama Apu Kumar Saha | 2020 | International Journal of Modeling, Simulation, and Scientific Computing2020，11，4： | 0 |
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