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optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominatedsorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 81-94 doi: 10.1007/s11465-014-0287-9

Abstract: Non-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution.

Keywords： jatropha biodiesel     fuel properties     response surface methodology     multi-objective optimization     non-dominatedsorting genetic algorithm-II    

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Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sortinggenetic algorithm-II

Frontiers of Structural and Civil Engineering   Pages 1428-1441 doi: 10.1007/s11709-023-0998-2

Abstract: The non-dominated sorting genetic algorithm-II (NSGA-II) was adopted to optimize the anti-seismic scheme

Keywords： intake tower     NSGA-II     mode decomposition response spectrum method     anti-seismic engineering measures    

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Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 518-528 doi: 10.1007/s11708-018-0594-7

Abstract: To solve the optimization model, the non-dominated sorting generic algorithm II (NSGA-II) is employedto derive a set of non-dominated Pareto solutions.building is selected for study to verify the effectiveness of the optimization model and the solving algorithmThe results obtained from the numerical study indicate that the NSGA-II results in more diversified Pareto

Keywords： multi-objective optimization     hybrid distributed energy system     non-dominated sorting generic algorithmII     fuzzy set theory     Pareto optimal solution    

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An integrated model for structure optimization and technology screening of urban wastewater systems

Yue HUANG,Xin DONG,Siyu ZENG,Jining CHEN

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 1036-1048 doi: 10.1007/s11783-015-0792-z

Abstract: The non-dominated sorting genetic algorithm (NSGA-II) was used to generate a range of system design possibilities

Keywords： urban wastewater system     integrated modeling     multi-objective optimization     non-dominated sorting geneticalgorithm (NSGA-II)    

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Efficient and optimized approximate GDI full adders based on dynamic threshold CNTFETs for specific least significant bits Research Article

Ayoub SADEGHI, Razieh GHASEMI, Hossein GHASEMIAN, Nabiollah SHIRI,H.ghasemian@sutech.ac.ir

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 4,   Pages 599-616 doi: 10.1631/FITEE.2200077

Abstract: Carbon nanotube field-effect transistors (CNTFETs) are reliable alternatives for conventional transistors, especially for use in (AC) based error-resilient digital circuits. In this paper, CNTFET technology and the technique are merged, and three new AC-based full adders (FAs) are presented with 6, 6, and 8 transistors, separately. The is used to attain the optimal performance of the proposed cells by considering the number of tubes and chirality vectors as its variables. The results confirm the circuits’ improvement by about 50% in terms of power-delay-product (PDP) at the cost of area occupation. The Monte Carlo method (MCM) and 32-nm CNTFET technology are used to evaluate the lithographic variations and the stability of the proposed circuits during the fabrication process, in which the higher stability of the proposed circuits compared to those in the literature is observed. The dynamic threshold (DT) technique in the transistors of the proposed circuits amends the possible voltage drop at the outputs. Circuitry performance and error metrics of the proposed circuits nominate them for the least significant bit (LSB) parts of more complex arithmetic circuits such as multipliers.

Keywords： Carbon nanotube field-effect transistor (CNTFET)     Optimization algorithm     Nondominated sorting basedgenetic algorithm II (NSGA-II)     Gate diffusion input (GDI)     Approximate computing    

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Outcomes of haploidentical bone marrow transplantation in patients with severe aplastic anemia-II thatprogressed from non-severe acquired aplastic anemia

Frontiers of Medicine 2021, Volume 15, Issue 5,   Pages 718-727 doi: 10.1007/s11684-020-0807-4

Abstract: Severe aplastic anemia II (SAA-II) progresses from non-severe aplastic anemia (NSAA).This study aimed to investigate the efficacy of haplo-BMT for patients with SAA-II.Four patients experienced grade II–IV aGvHD, including two with grade III–IV aGvHD.promising outcomes may support haplo-BMT as an alternative treatment strategy for patients with SAA-II

Keywords： severe aplastic anemia     non-severe acquired aplastic anemia     haploidentical bone marrow transplantation    

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Environment and economic feasibility of municipal solid waste central sorting strategy: a case study

Hua ZHANG, Zongguo WEN, Yixi CHEN

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 4, doi: 10.1007/s11783-016-0852-z

Abstract: In 2012, a “Green House” program was established as a new attempt for central sorting.

Keywords： Environment and economic feasibility     Municipal solid waste (MSW)     Waste central sorting     Green House    

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Owner-dominated building information modeling and lean construction in a megaproject

Mingyue LI, Zhuoling MA, Xi TANG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 60-71 doi: 10.1007/s42524-019-0042-3

Abstract: The current study describes a method that integrates owner-dominated BIM and LC that was developed inThe proposed method provides a framework for all stakeholders to use BIM and LC in a megaproject dominatedResults showed that the integration of BIM and LC dominated by the owner can improve management performance

Keywords： building information modeling     lean construction     airports     project management    

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Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 319-332 doi: 10.1007/s11465-013-0269-3

Abstract: The combined approach of Artificial Neural Network (ANN) and Non-Dominated Sorting Genetic Algorithm-II(NSGA-II) has attracted attention of researchers for modeling and optimization of the complex machiningElectrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybrid methodology of ANN-NSGA-IIIn this study, ANN has been used for modeling while NSGA-II is used to optimize the control parametersIt has also been found that hybrid approach of ANN-NSGA-II gives a set of optimal solutions for getting

Keywords： processes (HMPs)     electrical discharge diamond grinding (EDDG)     artificial neural network (ANN)     genetic algorithm    

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Generic user revocation systems for attribute-based encryption in cloud storage None

Genlang CHEN, Zhiqian XU, Hai JIANG, Kuan-ching LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1362-1384 doi: 10.1631/FITEE.1800405

Abstract: In this paper, we propose two generic user revocation systems for ABE with user privacy protection, user

Keywords： Attribute-based encryption     Generic user revocation     User privacy     Cloud storage     Access control    

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electrolysis cells with biocathodes and driven by microbial fuel cells for simultaneous enhanced Co(II) and Cu(II) removal

Jingya SHEN,Yuliang SUN,Liping HUANG,Jinhui YANG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 1084-1095 doi: 10.1007/s11783-015-0805-y

Abstract: Cobalt and copper recovery from aqueous Co(II) and Cu(II) is one critical step for cobalt and copperPrevious tests have primarily examined Cu(II) and Co(II) removal in microbial electrolysis cells (MECsHowever, Cu(II) and Co(II) removal rates were still slow.removal rates of Cu(II) (115.7 mg?and efficient Cu(II) and Co(II) wastewaters treatment without any external energy consumption.

Keywords： biocathode     microbial electrolysis cell     microbial fuel cell     Cu(II) removal     Co(II) removal    

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deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1

Abstract:

● MSWNet was proposed to classify municipal solid waste.

Keywords： Municipal solid waste sorting     Deep residual network     Transfer learning     Cyclic learning rate     Visualization    

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A microextraction approach for rapid extraction and separation of Mn(II) and Co(II) using saponified

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 963-972 doi: 10.1007/s11705-021-2081-7

Abstract: In this paper, we proposed a microextraction approach for the extraction and separation of Mn(II) andCo(II) from sulfate solution simulating leachate of spent lithium-ion battery cathode materials usingWith the help of microextractor, 95% of Mn(II) was extracted with a single theoretical stage at a chosen

Keywords： extraction equilibrium     mass transfer coefficient     microextraction     multicomponent extraction     di-(2-ethylhexyl)phosphoric acid    

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Application of the invasive weed optimization algorithm to economic dispatch problems

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 255-259 doi: 10.1007/s11708-012-0202-1

Abstract: In this paper the invasive weed optimization algorithm has been applied to a variety of economic dispatchIn general, they are non-linear non-convex optimization problems which cannot be directly solved by conventionalIn this work the invasive weed algorithm, a meta-heuristic method inspired by the proliferation of weeds

Keywords： economic dispatch (ED)     invasive weed optimization     non-convexity     prohibited operating zones (POZ)     valve    

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Multi-time scale dynamics in power electronics-dominated power systems

Xiaoming YUAN, Jiabing HU, Shijie CHENG

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 303-311 doi: 10.1007/s11465-017-0428-z

Abstract:

Electric power infrastructure has recently undergone a comprehensive transformation from electromagnetics to semiconductors. Such a development is attributed to the rapid growth of power electronic converter applications in the load side to realize energy conservation and on the supply side for renewable generations and power transmissions using high voltage direct current transmission. This transformation has altered the fundamental mechanism of power system dynamics, which demands the establishment of a new theory for power system control and protection. This paper presents thoughts on a theoretical framework for the coming semiconducting power systems.

Keywords： power electronics     power systems     multi-time scale dynamics     mass-spring-damping model     self-stabilizing and en-stabilizing property     multi-time scale power system stabilizer    

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Title Author Date Type Operation

optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominatedsorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Journal Article

Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sortinggenetic algorithm-II

Journal Article

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Journal Article

An integrated model for structure optimization and technology screening of urban wastewater systems

Yue HUANG,Xin DONG,Siyu ZENG,Jining CHEN

Journal Article

Efficient and optimized approximate GDI full adders based on dynamic threshold CNTFETs for specific least significant bits

Ayoub SADEGHI, Razieh GHASEMI, Hossein GHASEMIAN, Nabiollah SHIRI,H.ghasemian@sutech.ac.ir

Journal Article

Outcomes of haploidentical bone marrow transplantation in patients with severe aplastic anemia-II thatprogressed from non-severe acquired aplastic anemia

Journal Article

Environment and economic feasibility of municipal solid waste central sorting strategy: a case study

Hua ZHANG, Zongguo WEN, Yixi CHEN

Journal Article

Owner-dominated building information modeling and lean construction in a megaproject

Mingyue LI, Zhuoling MA, Xi TANG

Journal Article

Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Journal Article

Generic user revocation systems for attribute-based encryption in cloud storage

Genlang CHEN, Zhiqian XU, Hai JIANG, Kuan-ching LI

Journal Article

electrolysis cells with biocathodes and driven by microbial fuel cells for simultaneous enhanced Co(II) and Cu(II) removal

Jingya SHEN,Yuliang SUN,Liping HUANG,Jinhui YANG

Journal Article

deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

Journal Article

A microextraction approach for rapid extraction and separation of Mn(II) and Co(II) using saponified

Journal Article

Application of the invasive weed optimization algorithm to economic dispatch problems

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH

Journal Article

Multi-time scale dynamics in power electronics-dominated power systems

Xiaoming YUAN, Jiabing HU, Shijie CHENG

Journal Article