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Fast and accurate synthesis of electronically reconfigurable annular ring monopole antennas using particle swarm optimisation and artificial bee colony algorithms

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IET MICROWAVES ANTENNAS & PROPAGATION 2016年第4期10卷 362-369页

作者： Brito Rodrigues, Eduardo Jorge Castro Lins, Hertz Wilton D'Assuncao, Adaildo Gomes Univ Fed Rio Grande do Norte UFRN Dept Commun Engn Caixa Postal 1655 BR-59072970 Natal RN Brazil Anatel Natl Agcy Telecommun BR-58043010 Joao Pessoa Paraiba Brazil

The synthesis of a simple electronically reconfigurable annular ring monopole antenna using a designing optimisation process based on particle swarm optimisation (PSO) and artificial bee colony (ABC) algorithms is proposed. Several antenna dimensions are selected as objective functions of PSO and ABC and their best solutions are considered as the optimised dimensions of the antenna geometry. Two radio-frequency p-i-n diodes, connecting the antenna feeding line to two microstrip stubs are used to change the antenna frequency response from ultra-wideband (UWB), from 3.1 to 10.6 GHz, to narrowband (NB) operation about 5.8 GHz. The antenna design and simulation are performed using Ansoft high-frequency structure simulator software. PSO and ABC algorithms are written in Java language. Thereafter, antenna prototypes are fabricated and measured for validation purposes. Simulation and measurement results are obtained showing good agreement. The measured optimised impedance bandwidths of the UWB and NB bands are up to 128 and 23%, respectively. Additionally, simulated and measured radiation patterns are very similar when the reconfigurable antenna is operating in OFF-state (UWB sensing antenna) and in ON-state (NB transmitting antenna) modes, indicating the proposed antenna geometry as a promising candidate for applications such as UWB and cognitive radio.

关键词： monopole antennas particle swarm optimisation ultra wideband antennas frequency response Java antenna radiation patterns electrical engineering computing electronically reconfigurable annular ring monopole antenna synthesis particle swarm optimisation artificial bee colony bioinspired algorithms antenna dimensions objective functions antenna geometry radiofrequency p-i-n diodes antenna feeding line microstrip stubs frequency response ultrawideband antenna antenna design PSO algorithms ABC algorithms Java language ANSOFT high-frequency structure simulator software antenna prototypes validation purposes impedance bandwidths antenna radiation patterns OFF-state modes ON-state modes cognitive radio NB transmitting antenna UWb sensing antenna

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Input shaping tuning with usage of Particle Swarm Optimization 21

Input shaping tuning with usage of Particle Swarm Optimizati...

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21st International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Gniadek, Maciej Brock, Stefan Amica Wronki SA Poznan Poland Poznan Univ Tech Inst Control & Informat Engn Poznan Poland

ISBN: (纸本)9781509018666

Input shaping is one of the most common methods of preventing oscillations in electromechanical systems. The tuning of input shaping may be problematic in black boxes, systems with nonlinearities, and more complicated plants. The autotuning algorithms using bioinspired methods are capable to solve those problems. The main idea of its usage is presented in the paper. The comparison with analytical algorithms is presented as well.

关键词： input shaping command generation autotuning particle swarm optimization bioinspired algorithms

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A Distributed Subsystem for Design Decisions Optimization in the Framework of Organizational Approach 19

A Distributed Subsystem for Design Decisions Optimization in...

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19th IEEE International Conference on Soft Computing and Measurements (SCM)

作者： Nikitin, A. V. Nemov, D. A. Prokofiev, S. V. St Petersburg Electrotech Univ LETI St Petersburg Russia

ISBN: (纸本)9781467389198

Aiming optimization of available computing resources and creation of design systems, capable to model the devices based on new technologies (quantum computation), the method of forming of CAD systems (design decisions optimization subsystems), based on complementary design platform, is proposed. With this method, the tool (optimization subsystem) is constructed on the base of description of the design object. Variants of building of CAD meta-systems in the framework of organizational approach are discussed. The range of CAD meta-system models, providing an interoperability, are proposed.

关键词： Keywords Complementary design Organizational approach Network-centric architecture bioinspired algorithms

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A Hybrid bioinspired Algorithm for Facial Emotion Recognition Using CSO-GA-PSO-SVM 5

A Hybrid Bioinspired Algorithm for Facial Emotion Recognitio...

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5th International Conference on Communication Systems and Network Technologies (CSNT)

作者： Vivek, T. V. Guddeti, Ram Mohana Reddy Natl Inst Technol Karnataka Dept Informat Technol Mangalore India

ISBN: (纸本)9781479917976

Human-Computer Interaction gets more natural when the machine can detect human emotions faster and accurate. A lot of research is being carried out in the field of affective computing in order to improve the accuracy with speed. Bio-inspired algorithms for feature extraction and classification stages, has improved accuracy and speed further. In this paper, we propose a hybrid algorithm using CSO (Cat Swarm Optimization) with PSO (Particle Swarm Optimization) and GA (Genetic Algorithm) for emotion recognition (ER). This bioinspired algorithm in conjunction with the support vector machine (SVM) will find an optimal feature set from a bigger set. Results from CK+ (Cohn Kanade) [1] dataset demonstrate that our proposed method using CSO-GA-PSOSVM outperforms Emotion Recognition System with CSOSVM by 10.5% in accuracy. This paper also proposes a new E-Learning [2] system to demonstrate its effectiveness and efficiency in real-time scenario. The proposed algorithm is applied over the facial characteristics captured from students in teaching-learning environment. The optimized feature vector obtained is passed to the SVM classifier for classification. Experimental results yield 99% classification accuracy in a person dependent mode with six basic emotions namely Happy, Sad, Anger, Disgust, Surprise and Neutral.

关键词： Emotion Recognition bioinspired algorithms Cat Swarm Optimization Genetic Algorithm Particle Swarm Optimization Support Vector Machines Hybrid bioinspired algorithms E-Learning

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bioinspired IDENTIFICATION OF PARAMETERS IN MICROSCALE HEAT TRANSFER

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INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING 2014年第1期12卷 79-89页

作者： Dziatkiewicz, Jolanta Kus, Waclaw Majchrzak, Ewa Burczynski, Tadeusz Turchan, Lukasz Silesian Tech Univ Inst Computat Mech & Engn PL-44100 Gliwice Poland Polish Acad Sci Inst Fundamental Technol Res PL-02106 Warsaw Poland

The paper is devoted to the identification of microscale heat-transfer parameters. The numerical modeling of short-pulse laser interaction with thin metal films is considered. The hyperbolic two-temperature model describing the temporal and spatial evolution of the lattice and electrons temperatures in the irradiated metal is applied. This model consists of four equations: two equations concern the electron and lattice ternperatures;the later ones determine the dependencies between heat fluxes and temperatures. The short-pulse laser interaction with the film is taken into account by introducing an internal volumetric heat source to the equation describing the electron temperature. The equations concerning the electrons and lattice temperatures are joined by coupling factor G, which characterizes the energy exchange between phonons and electrons. The relations between electron heat flux and electron temperature and between the lattice heat flux and lattice temperature contain the parameters T-e and T-l, respectively. The parameter T-e is the relaxation time of free electrons in metals;the parameter T-l is the relaxation time in phonon collisions. The one-dimensional problem is analyzed. (Heat transfer in the direction perpendicular to the thin film is taken into account.) The nonflux conditions can be accepted at the front surface irradiated by a laser pulse and the back surface. The initial conditions are also assumed. The direct problem is solved by the explicit scheme of the finite difference method. The results of the computations are partially compared with the experimental data available in literature. The inverse problem discussed here consists in the simultaneous identification of three parameters, namely, the coupling factor G and relaxation times T-e and T-l. To solve such a problem, the electron temperature history at the irradiated surface of the thin film is taken into account. The inverse problems can be formulated as optimization problems and solved by

关键词： multiscale modeling two-temperature model identification bioinspired algorithms

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Hybridization of fuzzy systems for modeling and control

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REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL 2014年第2期11卷 127-141页

作者： Manuel Andujar, Jose Javier Barragan, Antonio Univ Huelva Dep Ing Elect Sistemas Elect & Automat ETSI Palos De La Frontera 21819 Huelva Spain

Fuzzy logic has revolutionized, in a short period of time, the technology through a combination of mathematical fundamentals, logic and reasoning Its inherent hybridization ability and intrinsic robustness, have allowed to fuzzy logic get numerous successes in the field of modeling and control of systems, impulsing the intelligent control. In this paper, the more usual hybrid fuzzy systems and its importance in the field of modeling and control of dynamic systems are studied. The paper presents several examples that illustrate, for different hybridization techniques, how these enhance the innate qualities of fuzzy logic for modeling and control of dynamic systems. Also, more than a hundred and fifty references are included, which allow the interested reader to delve into the field of fuzzy logic, and more specifically, in its hybridization techniques with application to modeling and fuzzy control.

关键词： bioinspired algorithms fuzzy control fuzzy modeling fuzzy systems hybrid systems intelligent control neuronal networks

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A review of bioinspired computer-aided design tools for hardware design

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2013年第8期25卷 1015-1036页

作者： Lanchares, Juan Garnica, Oscar Fernandez-de-Vega, Francisco Ignacio Hidalgo, J. UCM Parallel Architectures & Bioinspired Algorithms G Madrid Spain Univ Extremadura Merida Spain

During the tools have been also influenced by this evolutionary fashion. In this paper, we give a broader view of the application of techniques inspired by nature to hardware design and parallel architectures problem solving. Our aim is to furnish an overview of the various bioinspired techniques based tools that have been used so far to solve the problems of automatic hardware design. We can claim that a lot of the approaches found in the literature suffer from a lack of interdisciplinary interaction among researchers of both evolutionary computation and hardware design fields. In addition, we have also detected that some multi-objective problems do not use the appropriate algorithms. Copyright (c) 2012 John Wiley & Sons, Ltd.

关键词： parallel architectures bioinspired algorithms hardware design

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FaiNet: An Immune Algorithm for Fuzzy Clustering

FaiNet: An Immune Algorithm for Fuzzy Clustering

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Szabo, Alexandre de Castro, Leandro Nunes Delgado, Myriam Regattieri Univ Prebiteriana Mackenzie Nat Comp Lab LCoN Sao Paulo Brazil Univ Tecnol Fed Parana Curitiba Parana Brazil

ISBN: (纸本)9781467315067

Data clustering is useful in several areas, such as web mining, biology, climate, medical diagnosis, computer vision, marketing and others. Thus, in real problems, data can simultaneously belong to more than one cluster, being necessary to use fuzzy clustering concepts as decision mechanisms to assign data into clusters. Moreover, nature-based intelligent mechanisms have been used to increase the effectiveness of several machine learning algorithms. This paper proposes improvements on aiNet (Artificial Immune Network), a bioinspired clustering algorithm, and its extension to be applied to fuzzy partitions. The modified algorithm to be applied in fuzzy partitions was thus named FaiNet (Fuzzy aiNet). It uses immune system concepts to allow it to automatically detect a suitable number of clusters in the datasets, what is not possible for most clustering algorithms. FaiNet was applied to seven databases from the literature with the purpose of benchmarking and its performance was compared with that of Fuzzy C-Means, a Fuzzy particle swarm clustering algorithm (FPSC) and the improved crisp aiNet. Purity and Entropy were the main metrics used to evaluate performance. The FaiNet algorithm showed to be competitive with the other algorithms used for comparison.

关键词： fuzzy clustering artificial immune system dynamic population bioinspired algorithms

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FaiNet: An Immune Algorithm for Fuzzy Clustering

FaiNet: An Immune Algorithm for Fuzzy Clustering

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IEEE International Conference on Fuzzy Systems

作者： Alexandre Szabo Leandro Nunes de Castro Myriam Regattieri Delgado Natural Computing Laboratory - LCoN Mackenzie University Federal University of Technology of Parana

ISBN: (纸本)9781467315074

关键词： Fuzzy clustering Artificial immune system Dynamic population bioinspired algorithms

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Modeling and designing self-organized aggregation in a swarm of miniature robots

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INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH 2011年第5期30卷 615-626页

作者： Correll, Nikolaus Martinoli, Alcherio Univ Colorado Dept Comp Sci Boulder CO 80309 USA Ecole Polytech Fed Lausanne Distributed Intelligent Syst & Algorithms Lab Sch Architecture Civil & Environm Engn CH-1015 Lausanne Switzerland

We model the dynamics of self-organized robot aggregation inspired by a study on the aggregation of gregarious arthropods. In swarms of German cockroaches, aggregation into clusters emerges solely from local interactions between the individuals, whereas the probabilities of joining or leaving a cluster are a function of the cluster size. We propose a non-spatial population dynamics model that keeps track of the number of robots in clusters of specific size using control parameters of the individual robots and the probability of detecting another robot in the environment. The model is able to quantitatively and qualitatively predict the dynamics observed in extensive realistic multi-robot simulation, and provides qualitative agreement with data obtained from aggregation of Blattela germanica larvae. In particular, we show by analysis, numerical and realistic simulation that the emergence of a single aggregate requires a minimal communication range between individuals.

关键词： Aggregation self-assembly bioinspired algorithms modeling of swarm systems

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