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BEST PROXIMITY POINT THEOREMS FOR SINGLE- AND SET-VALUED NON-SELF MAPPINGS

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Acta Mathematica Scientia 2014年第5期34卷 1661-1669页

作者： Moosa GABELEH Department of Mathematics Ayatollah Boroujerdi University

We study the existence of best proximity points for single-valued non-self map-pings. Also, we prove a best proximity point theorem for set-valued non-self mappings in metric spaces with an appropriate geometric prope... 详细信息

关键词： best proximity point fixed point P-property

Electronic and magnetic properties of Cd-doped zigzag AlN nanoribbons from first principles

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Rare Metals 2016年第10期35卷 771-778页

作者： Razieh Beiranvand Physics Department Faculty of Science and EngineeringAyatollah Alozma Boroujerdi University BoroujerdLorestan 167 Iran

The effect of Cd impurity on the electronic structure and magnetic properties of hydrogen-terminated AlN nanoribbons with zigzag edges （ZAINNRs） was in- vestigate using the band structure results obtained through the full potential linearized augmented plane wave （FP- LAPW） method within the density functional theory （DFT）. The exchange correlation potential was treated by the generalized gradient approximation within the Perdew scheme. The calculated results show that the H-terminated zigzag AlN nanoribbon is semiconducting and nonmag- netic material with a direct band gap of about 2.78 eV, while the Cd-doped H-terminated ZAlNNR structures show complete （100 %） spin polarization very close to the Fermi level, which will result in spin-anisotropic transport. The charge transport is totally dominated by Cd spin down electrons in the H-terminated ZAlNNR. These results suggest potential applications for the development of using the A1N nanoribbons in nanoelectronics and magnetoelec-tronic devices as a base.

关键词： Electronic properties Zigzag AlN nanoribbon Magnetic properties Density functionaltheory Full potential linearized augmented plane wave

Adaptive energy consumption scheduling of multi-microgrid using whale optimization algorithm

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第5期12卷 78-96页

作者： Mohamad Abedini Mohamad Mostafai Department of Electrical Engineering Faculty of Engineering Ayatollah Boroujerdi UniversityBoroujerdIran Faculty of Engineering Lorestan Branch Islamic Azad University of DoroodDoroodIran

In this paper, we investigated the day-ahead scheduling of network consisting of severaldistributed generation sources and connected loads. This scheduling is an optimization problem that has two objective functions, namely, operating costs and the costcaused by the emission of pollutants. In this scheduling, while introducing a new structure for micro-grid utilization, the possibility of exchanging power among networks andexchanging power between networks and the upstream distribution network is *** uncertainty of distributed wind generation sources and solar units has been investigated using appropriate probabilistic distributions. Incent-driven load-responsivenessmanagement programs have been used as to encourage subscribers to reduce their powerconsumption during high-load hours. Whale optimization algorithm has been used forscheduling of network.

关键词： Wind turbine battery optimization uncertainty

Some Results on the Simultaneous Approximation

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Analysis in Theory and Applications 2014年第4期30卷 399-404页

作者： M.R.Haddadi Faculty of Mathematics Ayatollah Boroujerdi University

In this paper, we give some result on the simultaneous proximinal subset and simultaneous Chebyshev in the uniformly convex Banach space. Also we give relation between fixed point theory and simultaneous proximity.

关键词： Simultaneous proximinal simultaneous Chebyshev fixed point.

Comprehensive study on quasi-static and dynamic mechanical properties and wear behavior of Mg–B4C composite compacted at several loading rates through powder metallurgy

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Transactions of Nonferrous Metals Society of China 2021年第2期31卷 371-381页

作者： K.RAHMANI G.H.MAJZOOBI G.EBRAHIM-ZADEH M.KASHFI Mechanical Engineering Department Bu-Ali Sina UniversityHamedan 65174Iran Department of Soil Science Faculty of AgricultureGuilan UniversityRasht ***Iran Mechanical Engineering Department Ayatollah Boroujerdi UniversityBoroujerd ***Iran

The present study aims to fabricate and evaluate the mechanical properties and wear behavior of Mg metal matrix composite,reinforced by 0,1.5,3,5 and 10 vol.%B4C ***−B4C samples were fabricated at 450℃ and under different loading rates by using split Hopkinson bar(SHB),drop hammer(DH)and Instron(QS)at strain rates of 1600,800 and 0.008 s–1,*** mechanical properties including microhardness,quasi-static and dynamic compressive strengths and wear behavior of samples were experimentally *** results show that,the hardness of SHB and DH samples is obtained to be 20.2%and 5.7%higher than that of the QS sample,*** wear rate and wear mass loss of Mg–10.0%B4C samples fabricated by SHB were determined lower than those of the QS sample by nearly 33%and 39%,*** quasi-static compressive strengths of Mg−5.0%B4C are improved by 39%,30%and 29%for the SHB,DH and QS samples,respectively,in comparison with the case of pure ***,it is discovered that the dynamic compressive strength of samples is 51%−110%higher than their quasi-static value with respect to the B4C content.

关键词： powder compaction high strain rate Mg−B4C composite hardness mechanical properties wear behavior

Fast and accurate surface normal integration on non-rectangular domains

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Computational Visual Media 2017年第2期3卷 107-129页

作者： Martin Bahr Michael Breuβ Yvain Quéau Ali Sharifi boroujerdi Jean-Denis Durou Brandenburg Technical university Institute for MathematicsChair for Applied Mathematics Technical university Munich Universit'e de Toulouse IRIT

The integration of surface normals for the purpose of computing the shape of a surface in 3D space is a classic problem in computer vision. However,even nowadays it is still a challenging task to devise a method that is flexible enough to work on non-trivial computational domains with high accuracy, robustness,and computational efficiency. By uniting a classic approach for surface normal integration with modern computational techniques, we construct a solver that fulfils these requirements. Building upon the Poisson integration model, we use an iterative Krylov subspace solver as a core step in tackling the task. While such a method can be very efficient, it may only show its full potential when combined with suitable numerical preconditioning and problem-specific initialisation. We perform a thorough numerical study in order to identify an appropriate preconditioner for this *** provide suitable initialisation, we compute this initial state using a recently developed fast marching integrator. Detailed numerical experiments illustrate the benefits of this novel combination. In addition, we show on real-world photometric stereo datasets that the developed numerical framework is flexible enough to tackle modern computer vision applications.

关键词： surface normal integration Poisson integration conjugate gradient method preconditioning fast marching method Krylov subspace methods photometric stereo 3D reconstruction

State of the Art in Alcohol Sensing with 2D Materials

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Nano-Micro Letters 2020年第3期12卷 22-54页

作者： Ramin boroujerdi Amr Abdelkader Richard Paul Faculty of Science and Technology Bournemouth UniversityTalbot CampusFern BarrowPoole BH125BBUK Department of Engineering University of CambridgeCambridge CB30FSUK

Since the discovery of graphene,the star among new materials,there has been a surge of attention focused on the monatomic and monomolecular sheets which can be obtained by exfoliation of layered *** materials are known as two-dimensional(2D)materials and offer enormous versatility and *** ultimate single atom,or molecule,thickness of the 2D materials sheets provides the highest surface to weight ratio of all the nanomaterials,which opens the door to the design of more sensitive and reliable chemical *** variety of properties and the possibility of tuning the chemical and surface properties of the 2D materials increase their potential as selective sensors,targeting chemical species that were previously difficult to *** planar structure and the mechanical flexibility of the sheets allow new sensor designs and put 2D materials at the forefront of all the candidates for wearable *** developing sensors for alcohol,the response time is an essential factor for many industrial and forensic applications,particularly when it comes to hand-held ***,we review recent developments in the applications of 2D materials in sensing alcohols along with a study on parameters that affect the sensing *** review also discusses the strategies used to develop the sensor along with their mechanisms of sensing and provides a critique of the current limitations of 2D materials-based alcohol sensors and an outlook for the future research required to overcome the challenges.

关键词： Sensors and biosensors Alcohol probes Electrochemical detectors Ethanol metabolites 2D materials

Multi-objective design optimization of a large-scale directdrive permanent magnet generator for wind energy conversion systems

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Frontiers in Energy 2014年第2期8卷 182-191页

作者： Arash Hasssanpour ISFAHANI Amirhossein Haji-Seyed boroujerdi Saeed HASANZADEH Everette Energy LLC Dallas 75225 USA Faculty of Electrical and Engineering Islamic Azad University Islamshahr Branch Tehran 33147-67653 Iran Facuty of Electrical and Computer Engineering Qom University of Technology Qom 1519-37195 Inan

This paper presents a simukaneous multi- objective optimization of a direct-drive permanent magnet synchronous generator and a three-blade horizontal-axis wind turbine for a large scale wind energy conversion system. Analytical models of the generator and the turbine are used along with the cost model for optimization. Three important characteristics of the system i.e.,the total cost of the generator and blades, the annual energy output and the total mass of generator and blades are chosen as objective functions for a multi-objective optimization. Genetic algorithm （GA） is then employed to optimize the value of eight design parameters including seven generator parameters and a turbine parameter resulting in a set of Pareto optimal solutions. Four optimal solutions are then selected by applying some practical restrictions on the Pareto front. One of these optimal designs is chosen for finite element verification. A circuit-fed coupled time stepping finite element method is then performed to evaluate the no-load and the full load performance analysis of the system including the generator, a rectifier and a resistive load. The results obtained by the finite element analysis （FEA） verify the accuracy of the analytical model and the proposed method.

关键词： permanent magnet synchronous generator wind turbine direct-drive multi-objective optimization,