The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
J A Portillafigueras - One of the best experts on this subject based on the ideXlab platform.
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a novel grouping coral reefs optimization algorithm for optimal mobile network deployment problems under Electromagnetic Pollution and capacity control criteria
Expert Systems With Applications, 2016Co-Authors: Sancho Salcedosanz, J. Del Ser, P Garciadiaz, Miren Nekane Bilbao, J A PortillafiguerasAbstract:A new grouping Coral Reefs Optimization algorithm is presented.A problem of mobile network deployment with Pollution control is tackled.A real case-study in Alcala de Henares (Madrid) is discussed.Comparison with state of the art algorithms shows excellent performance of the proposed algorithm. This paper proposes a novel optimization algorithm for grouping problems, the Grouping Coral Reefs Optimization algorithm, and describes its application to a Mobile Network Deployment Problem (MNDP) under four optimization criteria. These criteria include economical cost and coverage, and also Electromagnetic Pollution control and capacity constraints imposed at the base stations controllers, which are novel in this study. The Coral Reefs Optimization algorithm (CRO) is a recently-proposed bio-inspired approach for optimization, based on the simulation of the processes that occur in coral reefs, including reproduction, fight for space or depredation. This paper presents a grouping version of the CRO, which has not previously evaluated before. Grouping meta-heuristics are characterized by variable-length encoding solutions, and have been successfully applied to a number of different optimization and assignment problems. The GCRO proposed is a novel contribution to the intelligent systems field, which is able to improve results obtained by two alternative grouping algorithms such as grouping genetic algorithms and grouping Harmony Search. The performance of the proposed GCRO and the algorithms for comparison has been tested with real data in a case study of a MNDP in Alcala de Henares, Madrid, Spain.
J. Del Ser - One of the best experts on this subject based on the ideXlab platform.
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a novel grouping coral reefs optimization algorithm for optimal mobile network deployment problems under Electromagnetic Pollution and capacity control criteria
Expert Systems With Applications, 2016Co-Authors: Sancho Salcedosanz, J. Del Ser, P Garciadiaz, Miren Nekane Bilbao, J A PortillafiguerasAbstract:A new grouping Coral Reefs Optimization algorithm is presented.A problem of mobile network deployment with Pollution control is tackled.A real case-study in Alcala de Henares (Madrid) is discussed.Comparison with state of the art algorithms shows excellent performance of the proposed algorithm. This paper proposes a novel optimization algorithm for grouping problems, the Grouping Coral Reefs Optimization algorithm, and describes its application to a Mobile Network Deployment Problem (MNDP) under four optimization criteria. These criteria include economical cost and coverage, and also Electromagnetic Pollution control and capacity constraints imposed at the base stations controllers, which are novel in this study. The Coral Reefs Optimization algorithm (CRO) is a recently-proposed bio-inspired approach for optimization, based on the simulation of the processes that occur in coral reefs, including reproduction, fight for space or depredation. This paper presents a grouping version of the CRO, which has not previously evaluated before. Grouping meta-heuristics are characterized by variable-length encoding solutions, and have been successfully applied to a number of different optimization and assignment problems. The GCRO proposed is a novel contribution to the intelligent systems field, which is able to improve results obtained by two alternative grouping algorithms such as grouping genetic algorithms and grouping Harmony Search. The performance of the proposed GCRO and the algorithms for comparison has been tested with real data in a case study of a MNDP in Alcala de Henares, Madrid, Spain.
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A Coral Reefs Optimization algorithm for optimal mobile network deployment with Electromagnetic Pollution control criterion
Applied Soft Computing, 2014Co-Authors: Sancho Salcedo-sanz, J. A. Portilla-figueras, Pablo García-díaz, J. Del Ser, Sergio Gil-lopezAbstract:Graphical abstractDisplay Omitted HighlightsA Mobile Network Deployment Problem is tackled using the CRO.The Coral Reefs Optimization is based on corals and corals reefs biology.A full description of the new algorithm is carried out.Experimental comparison with alternative soft-computing algorithms is done. In this paper we apply a novel meta-heuristic approach, the Coral Reefs Optimization (CRO) algorithm, to solve a Mobile Network Deployment Problem (MNDP), in which the control of the Electromagnetic Pollution plays an important role. The CRO is a new bio-inspired meta-heuristic algorithm based on the growing and evolution of coral reefs. The aim of this paper is therefore twofold: first of all, we study the performance of the CRO approach in a real hard optimization problem, and second, we solve an important problem in the field of telecommunications, including the minimization of Electromagnetic Pollution as a key concept in the problem. We show that the CRO is able to obtain excellent solutions to the MNDP in a real instance in Alcala de Henares (Madrid, Spain), improving the results obtained by alternative algorithms such as Evolutionary, Particle Swarm Optimization or Harmony Search algorithms.
Sergio Gil-lopez - One of the best experts on this subject based on the ideXlab platform.
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A Coral Reefs Optimization algorithm for optimal mobile network deployment with Electromagnetic Pollution control criterion
Applied Soft Computing, 2014Co-Authors: Sancho Salcedo-sanz, J. A. Portilla-figueras, Pablo García-díaz, J. Del Ser, Sergio Gil-lopezAbstract:Graphical abstractDisplay Omitted HighlightsA Mobile Network Deployment Problem is tackled using the CRO.The Coral Reefs Optimization is based on corals and corals reefs biology.A full description of the new algorithm is carried out.Experimental comparison with alternative soft-computing algorithms is done. In this paper we apply a novel meta-heuristic approach, the Coral Reefs Optimization (CRO) algorithm, to solve a Mobile Network Deployment Problem (MNDP), in which the control of the Electromagnetic Pollution plays an important role. The CRO is a new bio-inspired meta-heuristic algorithm based on the growing and evolution of coral reefs. The aim of this paper is therefore twofold: first of all, we study the performance of the CRO approach in a real hard optimization problem, and second, we solve an important problem in the field of telecommunications, including the minimization of Electromagnetic Pollution as a key concept in the problem. We show that the CRO is able to obtain excellent solutions to the MNDP in a real instance in Alcala de Henares (Madrid, Spain), improving the results obtained by alternative algorithms such as Evolutionary, Particle Swarm Optimization or Harmony Search algorithms.
Suneel Kumar Srivastava - One of the best experts on this subject based on the ideXlab platform.
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reduced graphene oxide fe3o4 polyaniline ternary composites as a superior microwave absorber in the shielding of Electromagnetic Pollution
ACS Omega, 2021Co-Authors: Rakesh Manna, Suneel Kumar SrivastavaAbstract:The present work is focused on fabrication of reduced graphene oxide/iron(II/III) oxide/polyaniline (RGO/Fe3O4/PANI) ternary composite by a hydrothermal method, its characterization, and applicatio...
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nanostructured zro2 mwcnt hybrid materials fabrication characterization and applications in shielding of Electromagnetic Pollution
Journal of Nanoscience and Nanotechnology, 2019Co-Authors: Kalyan Sundar Ghosh, Suneel Kumar Srivastava, Sreeraj PuravankaraAbstract:ZrO₂/MWCNT nanocomposites have been prepared by simple refluxing method and characterized by X-ray diffraction (XRD). Fourier-transform infrared spectroscopy (FTIR), and Raman analysis suggests chemical interactions present between zirconia and Multiwalled carbon nanotube (MWCNT) in the as prepared nanocomposites. Electromagnetic inteference shielding efficiencies (EMI SE) for the nanocomposites were found to increase with increasing amount of MWCNT loading. Highest EMI SE value of 29.1-30.5 dB was obtained for nanocomposite containing 15 wt% loading of MWCNT in the microwave frequency range of 2-8 GHz. This optimum performance is due to several factors like highest percentage of intermolecular H-bonding, highly defective, interconnected network structure, high conductivity and dielectric permittivities of the nanocomposites.
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fe3o4 carbon polyaniline trilaminar core shell composites as superior microwave absorber in shielding of Electromagnetic Pollution
ACS Sustainable Chemistry & Engineering, 2017Co-Authors: Kunal Manna, Suneel Kumar SrivastavaAbstract:The present work reports fabrication of trilaminar core–shell composites of Fe3O4@C@PANI as efficient lightweight Electromagnetic wave absorber by facile hydrothermal method and subsequent high-temperature calcination followed by its encapsulation through oxidative polymerization of aniline. The prepared composite structure was characterized by FTIR, XRD, XPS, TEM, HRTEM, and SQUID. The measurement of reflection loss, complex permittivity, complex permeability, and total shielding efficiency of the composites has been carried out in the frequency range of 2–8 GHz. Our findings showed lowest reflection loss (∼33 dB) in composite comprised of Fe3O4@C:aniline (1:9 wt/wt) corresponding to shielding efficiency predominantly due to absorption (∼47 dB) than reflection (∼15 dB). Such high value of shielding efficiency could be ascribed to the presence of dual interfaces and dielectric–magnetic integration in Fe3O4@C@PANI. In all probability, higher dielectric loss through interface polarization and relaxation eff...
Wanchun Jiang - One of the best experts on this subject based on the ideXlab platform.
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chiral induced synthesis of helical polypyrrole ppy nano structures a lightweight and high performance material against Electromagnetic Pollution
Journal of Materials Chemistry C, 2017Co-Authors: Aming Xie, Kun Zhang, Mengxiao Sun, Wanchun Jiang, Mingyang WangAbstract:Helical conducting polymer nano-structures have attracted increasing attention because of their superior optical and electrical activities, lightweight, and flexibility as well as controllable morphologies at several levels of a hierarchy. Nevertheless, hardly any research has focused on helical conducting polymer nano-structure based Electromagnetic protecting materials. Herein, we synthesized single-handed helical polypyrrole (PPy) nano-structures by a chiral inducing route and demonstrated their amazing Electromagnetic protecting abilities. A gradually constructed conducting network and helical chirality may be the main reasons for the tunable and impressive Electromagnetic protecting performance of the as-prepared helical PPy nano-structures. This research opens up an opportunity for the application of single-handed helical conducting polymer nano-structures as a lightweight and tunable high-performance Electromagnetic protecting material, especially in the fields of special aircraft, aerospace and fast-growing next-generation flexible electronics.
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in situ growth of mos2 nanosheets on reduced graphene oxide rgo surfaces interfacial enhancement of absorbing performance against Electromagnetic Pollution
Physical Chemistry Chemical Physics, 2016Co-Authors: Aming Xie, Kun Zhang, Mengxiao Sun, Wanchun JiangAbstract:Electromagnetic Pollution is rising all over the world. Compared with Electromagnetic waves reflection, Electromagnetic absorption (EA) is a better choice to balance Electromagnetic applications and human health. The highly conductive networks in composites, as well as in species, and the intensity of defect polarization are the most important factors to improving the EA performance of a dielectric material. In this study, an in situ one-pot hydrothermal growth of MoS2 layers on reduced graphene oxide (RGO) surfaces was developed for the synthesis of RGO/MoS2 nanosheets. With a filler loading ratio of 20 wt%, the composite of the RGO/MoS2 nanosheets could build conductive networks and exhibited an effective EA bandwidth (lower than −10 dB) of 5.7 GHz and a minimum reflection loss (RL) of −60 dB. The results revealed that the as-prepared RGO/MoS2 nanosheets are promising EA materials, with broad and strong absorption properties at a low filler loading and low thickness.
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a core shell polypyrrole silicon carbide nanowire ppy sic nanocomposite for the broadband elimination of Electromagnetic Pollution
RSC Advances, 2016Co-Authors: Kun Zhang, Mengxiao Sun, Wanchun Jiang, Yuan Wang, Derong Wang, Aming Xie, Wei DongAbstract:Design and fabrication of Electromagnetic absorption (EA) materials are important nowadays, due to deepening Electromagnetic Pollution. In this study, a convenient process has been developed for the in situ self-assembly preparation of core–shell PPy@SiC nanocomposites, which have been used for the elimination of Electromagnetic Pollution. It was found that a composite consisting of only 10 wt% PPy@SiC nanocomposite exhibited an effective EA bandwidth (deeper than −10 dB) of 6.52 GHz at a thickness of 2.5 mm. These findings open up a new facile way for multi-band Electromagnetic attenuation.
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a self assembly method for the fabrication of a three dimensional 3d polypyrrole ppy poly 3 4 ethylenedioxythiophene pedot hybrid composite with excellent absorption performance against Electromagnetic Pollution
Journal of Materials Chemistry C, 2016Co-Authors: Mengxiao Sun, Kun Zhang, Wanchun Jiang, Yuan Wang, Aming Xie, Mingyang WangAbstract:Electromagnetic Pollution is second to air and water Pollution, and has been considered as the third worldwide hazard. Materials with Electromagnetic absorption (EA) performance are the key to protect human beings and wildlife from this Pollution. In this study, a composite comprising three-dimensional (3D) polypyrrole (PPy) and poly(3,4-ethylenedioxythiophene) (PEDOT) was prepared via a self-assembly method. This 3D-PPy/PEDOT composite was characterized using field emission scanning electron microscopy (FE-SEM), field emission high resolution transmission electron microscopy (FE-HRTEM), X-ray diffraction (XRD) and Raman spectroscopy. It was found that a composite only consisting of 5 wt% 3D-PPy/PEDOT in a wax matrix exhibited an effective EA bandwidth (deeper than −10 dB) of 6.24 GHz at a thickness of 2.5 mm. Furthermore, the highest effective EA bandwidth of 6.28 GHz can be reached. The results obtained in this study indicate that 3D-PPy/PEDOT is a promising EA material, which can exhibit a broad effective EA bandwidth at a low filler loading and a thin thickness simultaneously.