This work investigates the calibration of a stereo vision system based on two PTZ (Pan-Tilt-Zoom) cameras. As the accuracy of the system depends not only on intrinsic parameters, but also on the geometric relationship...
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ISBN:
(纸本)9780819499363
This work investigates the calibration of a stereo vision system based on two PTZ (Pan-Tilt-Zoom) cameras. As the accuracy of the system depends not only on intrinsic parameters, but also on the geometric relationships between rotation axes of the cameras, the major concern is the development of an effective and systematic way to obtain these relationships. We derived a complete geometric model of the dual-PTZ-camera system and proposed a calibration procedure for the intrinsic and external parameters of the model. The calibration method is based on Zhang's approach using an augmented checkerboard composed of eight small checkerboards, and is formulated as an optimization problem to be solved by an improved particleswarmoptimization (PSO) method. Two Sony EVI-D70 PTZ cameras were used for the experiments. The root-mean-square errors (RMSE) of corner distances in the horizontal and vertical direction are 0.192 mm and 0.115 mm, respectively. The RMSE of overlapped points between the small checkerboards is 1.3958 mm.
swarm intelligence based technique has been used in this work for the estimation of parameters of photovoltaic cells using the two-diode model of the photovoltaic cell. particle swarm optimization algorithm was used t...
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ISBN:
(纸本)9783319030029;9783319030012
swarm intelligence based technique has been used in this work for the estimation of parameters of photovoltaic cells using the two-diode model of the photovoltaic cell. particle swarm optimization algorithm was used to fit the calculated current-voltage characteristics of the photovoltaic cells to the experimental one. The estimated parameters were the generated photocurrent, saturation currents, series resistance, shunt resistance and ideality factors. The proposed approach was validated using industrial photovoltaic cells.
Polyphase coded radar signals is one of the most important and usually used in MIMO Radar systems. Polyphase coded radar signals with good orthogonal properties having low autocorrelation and a low crosscorrelation pr...
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ISBN:
(纸本)9781479940400
Polyphase coded radar signals is one of the most important and usually used in MIMO Radar systems. Polyphase coded radar signals with good orthogonal properties having low autocorrelation and a low crosscorrelation property is a nonlinear multivariable optimization problem. The proposed technique yield polyphase waveforms with orthogonal properties which effectively removes the interference issues faced by radars and also help in attaining high radar resolution. The oppositional concept is included in the initial population selection in the PSO algorithm and fractional calculus is used for modifying the velocity updation equation in PSO. Peak Sidelobe Ratio (PSLR) and Integrated Energy Sidelobe ratio (ISLR) of the polyphase waveforms are incorporated in the fitness function defined for the PSO. The experimental analysis based on different phases, different sequence lengths, different code set and different cost function are carried out. In all cases, the proposed technique has achieved good results.
The aim of this study is to design nonlinear robust controllers for multimachine power systems. A technique for the optimal tuning of Power System Stabilizer (PSS) by integrating the particleswarmoptimization (PSO) ...
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In this paper, the particle swarm optimization algorithm (PSO) for reservoir optimal operation is studied. A new algorithm which is suitable for reservoir optimal operation called multiple groups of gradient particle ...
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ISBN:
(纸本)9781479951512
In this paper, the particle swarm optimization algorithm (PSO) for reservoir optimal operation is studied. A new algorithm which is suitable for reservoir optimal operation called multiple groups of gradient particle swarm optimization algorithm (MGPSO) is proposed to avoid the shortcomings of PSO including premature convergence, poor search accuracy and easily falling into local optimal solution. The gradient searching strategy is introduced to improve the search accuracy of local optima. Grouping and randomly updating strategy are used to improve the searching ability of global optima. Simulation experiments and the example of reservoir optimal operation show that the new algorithm MGPSO obviously outperforms the standard PSO and shuffled frog leaping particleswarmoptimization (SFLPSO), and is effective in solving the optimal operation of hydropower station reservoir.
In this study, a new discrete parallel particleswarmoptimization (PSO) method is presented for long term Transmission Network Expansion Planning (TNEP) with security constraints. The procedure includes obtaining the...
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A particle swarm optimization algorithm based on adaptive mutation and P systems is proposed to overcome trapping in local optimum solution and low optimization precision in this paper. At the same time, the proposed ...
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ISBN:
(纸本)9783662450482
A particle swarm optimization algorithm based on adaptive mutation and P systems is proposed to overcome trapping in local optimum solution and low optimization precision in this paper. At the same time, the proposed algorithm is investigated in experiments which are based on the function optimization of micro-grid's economic operation. Furthermore, the feasibility and effectiveness of the proposed algorithm are showed in the experimental results.
The paper presents a constrained optimization procedure to design a DC-DC converter with coupled inductors for minimizing the power losses. Two algorithms have been used, Genetic and particleswarmoptimization algori...
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ISBN:
(纸本)9781467388634
The paper presents a constrained optimization procedure to design a DC-DC converter with coupled inductors for minimizing the power losses. Two algorithms have been used, Genetic and particle swarm optimization algorithm, and the results have been compared. In particular, with the proposed technique, the electrical, magnetic and geometrical characteristics of the coupled inductors have been obtained and the values of duty cycle and frequency have been defined in order to obtain the maximum efficiency.
Designing DNA sequence sets is a fundamental issue in the fields of nanotechnology and nanocomputing. Not only quality but also quantity of DNA coding sequences affect the reliability of DNA computing. For this reason...
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Designing DNA sequence sets is a fundamental issue in the fields of nanotechnology and nanocomputing. Not only quality but also quantity of DNA coding sequences affect the reliability of DNA computing. For this reason, many researchers have paid their attentions to find more and better DNA sequences in DNA computing. In this paper we present particle swarm optimization algorithm (PSO) for the design of DNA sequence sets, namely sets of equal-length sequence over the nucleotides alphabet A,C,G,T that satisfy H-distance constraint. In our computational experiments, we succeed in generating better sequences sets. We give some practical values which satisfy H-distance constraint, and it has some directions for the theoretical lower bound in DNA computing.
In this article, the performance of a circular crossed-dipole array (CCDA) for space division multiple access (SDMA) configurations adopting directivity and polarization control is presented. The array consists of 12 ...
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In this article, the performance of a circular crossed-dipole array (CCDA) for space division multiple access (SDMA) configurations adopting directivity and polarization control is presented. The array consists of 12 dual-polarized elements uniformly distributed in a circular configuration;each dual-polarized element (crossed-dipole) consists of two half-wave dipoles in a +/- 45 degrees slant configuration. The modified particleswarmoptimization and moment of method (MPSO-MOM) algorithm is used to calculate the complex weightings of the array elements in a mutual coupling environment for beamforming synthesis. In addition, the performance of the adaptive array using discrete feedings (1-bit amplitude and 4-bit phase shifters or only 4-bit phase shifters) is studied. (C) 2008 Wiley Periodicals, Inc. Int J RF bind Microwave CAE 19: 50-59. 2009.
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