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Graphene oxide based carbon composite as adsorbent for Hg removal:Preparation, characterization, kinetics and isotherm studies

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Chinese Journal of Chemical Engineering 2017年第9期25卷 1170-1175页

作者： Tayebeh Esfandiyari Navid Nasirizadeh mohammad dehghani mohammad Hassan Ehrampoosh Department of Environmental Health Engineering Shaheed Sadoughi University of Medical Sciences Young Researchers and Elite Club Yazd Branch Islamic Azad University

The presence of Hg in the aqueous media is known to cause severe health issues in both humans and *** technologies and especially adsorbents have been applied for its removal. In this study, a graphene oxide–carbon composite(GO–CC) as a new adsorbent was prepared by sol gel procedure and characterized using field emission scanning electron microscopy, BET and EDX. The effects of different variables including solution p H, contact time, adsorbent dose and GO ratio in adsorbent matrix on the removal capacity of Hg were studied. The isotherm data correlated well with the Langmuir isotherm model. Further analysis recommended that the Hg^(2+) adsorption process is governed by the intra-particle and external mass transfer, in which the film diffusion was the rate restrictive step. The presented composite has maximum absorption capacity, q_(max) of 68.8 mg·g^(-1), which is comparable with carbon based adsorbent reported in the previous publications.

关键词： Adsorbent Mercury removal Sol gel Carbon composite

A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction

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Journal of Zhejiang University-Science C(Computers and Electronics) 2010年第12期11卷 976-988页

作者： Ashkan TASHK mohammad Sadegh HELFROUSH mohammad Javad dehghani Faculty of Electrical Engineering Shiraz University of Technology Shiraz Iran

We introduce a novel coarse ridge orientation smoothing algorithm based on orthogonal polynomials, which can be used to estimate the orientation field (OF) for fingerprint areas of no ridge information. This method does not need any base information of singular points (SPs). The algorithm uses a consecutive application of filtering-and model-based orientation smoothing methods. A Gaussian filter has been employed for the former. The latter conditionally employs one of the orthogonal polynomials such as Legendre and Chebyshev type I or II, based on the results obtained at the filtering-based stage. To evaluate our proposed method, a variety of exclusive fingerprint classification and minutiae-based matching experiments have been conducted on the fingerprint images of FVC2000 DB2, FVC2004 DB3 and DB4 databases. Results showed that our proposed method has achieved higher SP detection, classification, and verification performance as compared to competing methods.

关键词： Coherence Consistency Fingerprint orientation Legendre/Chebyshev orthogonal polynomials

Ab initio investigation of the structural and unusual electronic properties of α-CuSe (klockmannite)

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Chinese Physics B 2013年第12期22卷 402-409页

作者： Ali Reza Shojaei Zahra Nourbakhsh Aminollah Vaez mohammad dehghani Physics Department Faculty of Science University of Isfahan Physics Department Technical and Vocational University-Mohajer Center

In this article, a computational analysis has been performed on the structural properties and predominantly on the electronic properties of the α-CuSe （klockmannite） using density functional theory. The studies in this work show that the best structural results, in comparison to the experimental values, belong to the PBEsol-GGA and WC-GGA functionals. However, the best results for the bulk modulus and density of states （DOSs） are related to the local density approximation （LDA） functional. Through utilized approaches, the LDA is chosen to investigate the electronic structure. The results of the electronic properties and geometric optimization of α-CuSe respectively show that this compound is conductive and non-magnetic. The curvatures of the energy bands crossing the Fermi level explicitly reveal that major charge carriers in CuSe are holes, whose density is estimated to be 0.86×1022 hole/cm3. In particular, the Fermi surfaces in the first Brillouin zone demonstrate interplane conductivity between （001） planes. Moreover, the charge carriers among them are electrons and holes simultaneously. The conductivity in CuSe is mainly due to the hybridization between the d orbitals of Cu atoms and the p orbitals of Se atoms. The former orbitals have the dual nature of localization and itinerancy.

关键词： klockmannite α-CuSe structural properties electronic properties

Language Education Optimization: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1527-1573页

作者： Pavel Trojovsky mohammad dehghani Eva Trojovská Eva Milkova Department of Mathematics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic

In this paper,based on the concept of the NFL theorem,that there is no unique algorithm that has the best performance for all optimization problems,a new human-based metaheuristic algorithm called Language Education Optimization(LEO)is introduced,which is used to solve optimization *** is inspired by the foreign language education process in which a language teacher trains the students of language schools in the desired language skills and *** is mathematically modeled in three phases:(i)students selecting their teacher,(ii)students learning from each other,and(iii)individual practice,considering exploration in local search and exploitation in local *** performance of LEO in optimization tasks has been challenged against fifty-two benchmark functions of a variety of unimodal,multimodal types and the CEC 2017 test *** optimization results show that LEO,with its acceptable ability in exploration,exploitation,and maintaining a balance between them,has efficient performance in optimization applications and solution *** efficiency in optimization tasks is compared with ten well-known metaheuristic *** of the simulation results show that LEO has effective performance in dealing with optimization tasks and is significantly superior andmore competitive in combating the compared *** implementation results of the proposed approach to four engineering design problems show the effectiveness of LEO in solving real-world optimization applications.

关键词： Optimization language education exploration exploitation metaheuristic algorithm

Investigating the potential of using acoustic frequency on the degradation of linear alkylbenzen sulfonates from aqueous solution

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第9期8卷 1462-1468页

作者： dehghani mohammad Hadi MAHVI Amir Hossein NAJAFPOOR Ali Asghar AZAM Kamal Department of Environmental Health Engineering School of Public HealthCenter for Environmental ResearchMedical Sciences/University of TehranTehranI.R. Iran Department of Environmental Health School of Public HealthMashhad University of Medical SciencesMashhadI.R. Iran Department of Epidemiology and Biostatistics School of Public HealthMedical Sciences/University of TehranTehranI.R. Iran

The effectiveness of using acoustical （sonochemical） reactor for degradation of linear alkylbenzen sulfonate （LAS） from aqueous solution was investigated. LASs are anionic surfactants, found in relatively high amounts in domestic and industrial wastewaters. In this study, experiments on LAS solution were performed using methylene blue active substances （MBAS） method. The effectiveness of acoustical processor reactor for LAS degradation is evaluated with emphasis on the effect of treatment time and initial LAS concentration. Experiments were performed at initial concentrations of 0.2, 0.5, 0.8 and 1.0 mg/L, acoustic frequency of 130 kHz, applied power of 500 W and temperature of 18℃-20℃. At the conditions involved, LAS degradation was found to increase with increasing sonochemical time. In addition, as the concentration increased, the LAS degradation rate decreased in the acoustical processor reactor.

关键词： Acoustical reactor Linear alkylbenzen sulfonate (LAS) Acoustic frequency Treatment time Power

SSABA:Search Step Adjustment Based Algorithm

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Computers, Materials & Continua 2022年第6期71卷 4237-4256页

作者： Fatemeh Ahmadi Zeidabadi Ali dehghani mohammad dehghani Zeinab Montazeri Stepán Hubálovsky Pavel Trojovsky Gaurav Dhiman Department of Mathematics and Computer Sciences Sirjan University of TechnologySirjanIran Department of Civil Engineering Islamic Azad UniversityEstahban BranchEstahbanIran Department of Mathematics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Electrical and Electronics Engineering Shiraz University of TechnologyShirazIran Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Computer Science Government Bikram College of CommercePatialaPunjabIndia

Finding the suitable solution to optimization problems is a fundamental challenge in various *** algorithms are one of the effective stochastic methods in solving optimization *** this paper,a new stochastic optimization algorithm called Search StepAdjustment Based Algorithm(SSABA)is presented to provide quasi-optimal solutions to various optimization *** the initial iterations of the algorithm,the step index is set to the highest value for a comprehensive search of the search ***,with increasing repetitions in order to focus the search of the algorithm in achieving the optimal solution closer to the global optimal,the step index is reduced to reach the minimum value at the end of the algorithm *** is mathematically modeled and its performance in optimization is evaluated on twenty-three different standard objective functions of unimodal and multimodal *** results of optimization of unimodal functions show that the proposed algorithm SSABA has high exploitation power and the results of optimization of multimodal functions show the appropriate exploration power of the proposed *** addition,the performance of the proposed SSABA is compared with the performance of eight well-known algorithms,including Particle Swarm Optimization(PSO),Genetic Algorithm(GA),Teaching-Learning Based Optimization(TLBO),Gravitational Search Algorithm(GSA),Grey Wolf Optimization(GWO),Whale Optimization Algorithm(WOA),Marine Predators Algorithm(MPA),and Tunicate Swarm Algorithm(TSA).The simulation results show that the proposed SSABA is better and more competitive than the eight compared algorithms with better performance.

关键词： Optimization population-based optimization problem search step optimization algorithm minimization maximization

Far and Near Optimization:A New Simple and Effective Metaphor-LessOptimization Algorithm for Solving Engineering Applications

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Computer Modeling in Engineering & Sciences 2024年第11期141卷 1725-1808页

作者： Tareq Hamadneh Khalid Kaabneh Omar Alssayed Kei Eguchi Zeinab Monrazeri mohammad dehghani Department of Matematics Al Zaytoonah University of JordanAmman11733Jordan Jadara Research Center Jadara UniversityIrbid21110Jordan Faculty of Information Technology Al-Ahliyya Amman UniversityAmman19328Jordan Department of Mathematics Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan Department of Information Electronics Fukuoka Institute of TechnologyFukuoka811-0295Japan Department of Electrical and Electronics Engineering Shiraz University of TechnologyShiraz***Iran

In this article,a novel metaheuristic technique named Far and Near Optimization(FNO)is introduced,offeringversatile applications across various scientific domains for optimization *** core concept behind FNO lies inintegrating global and local search methodologies to update the algorithm population within the problem-solvingspace based on moving each member to the farthest and nearest member to *** paper delineates the theoryof FNO,presenting a mathematical model in two phases:(i)exploration based on the simulation of the movementof a population member towards the farthest member from itself and(ii)exploitation based on simulating themovement of a population member towards the nearest member from ***’s efficacy in tackling optimizationchallenges is assessed through its handling of the CEC 2017 test suite across problem dimensions of 10,30,50,and 100,as well as to address CEC *** optimization results underscore FNO’s adeptness in exploration,exploitation,and maintaining a balance between them throughout the search process to yield viable *** analysis against twelve established metaheuristic algorithms reveals FNO’s superior *** findings indicate FNO’s outperformance of competitor algorithms,securing the top rank as the mosteffective optimizer across a majority of benchmark ***,the outcomes derived by employing FNOon twenty-two constrained optimization challenges from the CEC 2011 test suite,alongside four engineering designdilemmas,showcase the effectiveness of the suggested method in tackling real-world scenarios.

关键词： Optimization stochastic method far near metaheuristic algorithm exploration exploitation

Modelling and optimization of nonylphenol biosorption by novel lowcost magnetic Chlorella vulgaris

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Emerging Contaminants 2024年第3期10卷 170-180页

作者： Fatemeh Rahmani Nooshin Sajjadi mohammad Hadi dehghani Mozhgan Zaeimdar Environmental Science and Technology Department Marine Science and Technology FacultyNorth Tehran BranchIslamic Azad UniversityTehranIran Department of Environmental Health Engineering School of Public HealthTehran University of Medical SciencesTehranIran Center for Solid Waste Research Institute for Environmental ResearchTehran University of Medical SciencesTehranIran

Discharging untreated wastewater causes environmental *** research examined the efficiency of removal and the adsorption process of Emerging Contaminant nonylphenol(NP)using magnetic Chlorella vulgaris(M-Chlorella vulgaris).The characterization of M-Chlorella vulgaris involved XRD,FESEM,EDS-Mapping,BET,FTIR,and VSM *** impact of four different parametersdpH,MChlorella vulgaris dose,initial concentration of NP,and contact time on the biosorption process was *** model and optimize the study while minimizing costs and the number of experiments,Response Surface Methodology(RSM)with Central Composite Design(CCD)was *** to the findings,the quadratic model with adjusted R^(2)=0.96 was the best fitted among the other *** pH=3.5,dosage=2.5 g/l,NP concentration=4 mg/l,and reaction time=70 min,which are the optimal parameters,the maximum removal effectiveness was about 91%.The Langmuir model(R^(2)=0.998)and pseudo-second-order model(R^(2)=0.997)exhibited the best fits for the adsorption isotherm and kinetic studies,*** characteristics of M-Chlorella vulgaris were determined to facilitate a spontaneous nature,and thermodynamic experiments indicated that the process of adsorption of nonylphenol is *** inexpensiveness and availability of adsorbent,suitable efficiency in the biosorption of pollutant and magnetic collection of pollutant from the aquatic environment can be mentioned as the advantages of this process.

关键词： RSM-CCD Nonylphenol Biosorption Algea Emerging contaminants M-Chlorella vulgaris

AMBO:All Members-Based Optimizer for Solving Optimization Problems

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Computers, Materials & Continua 2022年第2期70卷 2905-2921页

作者： Fatemeh Ahmadi Zeidabadi Sajjad Amiri Doumari mohammad dehghani Zeinab Montazeri Pavel Trojovsky Gaurav Dhiman Department of Mathematics and Computer Sciences Sirjan University of TechnologySirjanIran Department of Electrical and Electronics Engineering Shiraz University of TechnologyShirazIran Department of Mathematics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Computer Science Government Bikram College of CommercePatialaPunjabIndia

There are many optimization problems in different branches of science that should be solved using an appropriate *** optimization algorithms are one of the most efficient approaches to solve this type of *** this paper,a new optimization algorithm called All Members-Based Optimizer(AMBO)is introduced to solve various optimization *** main idea in designing the proposedAMBOalgorithm is to use more information from the population members of the algorithm instead of just a few specific members(such as best member and worst member)to update the population ***,in AMBO,any member of the population can play a role in updating the population *** theory of AMBO is described and then mathematically modeled for implementation on optimization *** performance of the proposed algorithm is evaluated on a set of twenty-three standard objective functions,which belong to three different categories:unimodal,high-dimensional multimodal,and fixed-dimensional multimodal *** order to analyze and compare the optimization results for the mentioned objective functions obtained by AMBO,eight other well-known algorithms have been also *** optimization results demonstrate the ability of AMBO to solve various optimization ***,comparison and analysis of the results show that AMBO is superior andmore competitive than the other mentioned algorithms in providing suitable solution.

关键词： Algorithm all members optimization optimization algorithm optimization problem population-based algorithm