Binary TLBO algorithm assisted for designing plasmonic nano bi-pyramids-based absorption coefficient

Akhlaghi, Mehdi; Emami, Farzin; Nozhat, Najmeh

doi:10.1080/09500340.2014.920537

Cited by 36 publications

(14 citation statements)

References 19 publications

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“…In the following, calculate the average position of the students (Xmean). The reason for calculating the student knowledge average is that the teacher gives the training according to the average level of the class.By considering "r" as a random number as well as Tf as a constant coefficient, it is possible to model the movement of students in the first step by the following relation [13][14][15][16]:…”

Section: Tlbo (Teacher Learn Based Optimization) Algorithmmentioning

confidence: 99%

High-capacity, transparent and robust blind audio watermarking scheme based DWT and TLBO algorithm

Joudaki

Abdeyazdan

Mosleh

2020

Preprint

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Digital watermarking is one of the best solutions again the copyright infringement, duplicates, verifies data and illegal distribution of digital media. Recently, the protection of digital audio signals is one of the attracting and interesting topics for scientific and researchers. In this paper we propose a blind audio watermarking mechanism in which it has high capacity, transparency and resistance simultaneously based on digital wavelet transform (DWT) algorithm. The key principle of this work is that in the DWT procedure, using two filters; break down the original audio signal into several sub-bands and transform them on a specific frequency range. It should be noted that the 8 bits of watermarked signal is selected and transform to the original signal. In order to increase the watermarking resistance, framing the high frequency coefficients of the third level of the wavelet and calculate the frames average and place them in the frame memory prime. Moreover, TLBO algorithm used to determination of embedding and extraction coefficients in order to increase the SNR ratio in the embedding process and decrease the bit error rate (BER) in the extraction process. This method increases the embedding payload capacity while the audio SNR and extracted image BER have good qualify. Moreover, experimental results shown that this method has 13kbs hiding rate,ascendency imperceptibility, good payload capacity and intense robustness when resisting against various attacks such as MP3 compression, re-quantization, low-pass filtering, amplitude scaling, re-sampling, echo addition and noise corruption.

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Section: Tlbo (Teacher Learn Based Optimization) Algorithmmentioning

confidence: 99%

High-capacity, transparent and robust blind audio watermarking scheme based DWT and TLBO algorithm

Joudaki

Abdeyazdan

Mosleh

2020

Preprint

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“…The knapsack cryptosystem was approached in [74], the network and reliability constrained problem was solved in [78], and knapsack problems were solved in [41], all using the firefly algorithm. In [85], a teaching-learning optimization algorithm was used for designing plasmonic nanobipyramids based on the absorption coefficient.…”

Section: Transfer Function and Binarizationmentioning

confidence: 99%

Putting Continuous Metaheuristics to Work in Binary Search Spaces

et al. 2017

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“…For the first time, BTLBO was presented by our group in 2014 [13]. Since the CPA depends strongly on the number of plasmonic nano-rods and the nano-rods location, BTLBO has been used to control the presence ("1") or the absence ("0") of nano-rods in the array and find the best array of dimmer nanorods from all possible arrays.…”

Section: Binary Tlbomentioning

confidence: 99%

“…The optimization problems in the plasmonic nano-structure area can be divided into two categories. In the first type, the continuous optimization algorithm can be performed to engineer the geometrical metal nano-structures [11], whereas in the second type, the binary optimization algorithm can be used to control the presence ("1") or absence ("0") of the metal nano-particles in the array [13]. In this paper, binary teaching-learning-based optimization (BTLBO) algorithm is used to control the presence or the absence of metal nano-rods in the array to achieve the higher absorption coefficient spectrum in order to increase the efficiency of the plasmonic nano-switch.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Optical Switch Using Dimer Plasmonic Nano-Rods

Akhlaghi

Nozhat

Emami

2014

IEEE Trans. Nanotechnology

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The optical switch based on the dimer plasmonic nano-rods on the silicon waveguide has been numerically analyzed. In the proposed switch, the optical switch has been excited by two monochromatic incident plan-waves with the same frequency and two angles of incident θ = 0 and θ = 90. When only the signal with θ = 0 is applied, the incident wave is transmitted and when both signals are applied to the switch simultaneously, the coherent perfect absorption (CPA) occurs and the two incident waves are suppressed. Therefore, the signal with θ = 90 acts as control signal. Since the CPA efficiency depends strongly on the number of plasmonic nano-rods and the nano-rods location, a new efficient binary optimization method based on the teaching-learning-based optimization (TLBO) algorithm is proposed to design an optimized array of the plasmonic nano-rods in order to achieve the maximum absorption coefficient in the "off" state and the minimum absorption coefficient in the "on" state. In binary TLBO, a group of learner includes a matrix with binary entries, and is used to control the presence ("1") or the absence ("0") of nano-rods in the array.Index Terms-Plasmonic nano-rods, plasmonic nano-switch.

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Binary TLBO algorithm assisted for designing plasmonic nano bi-pyramids-based absorption coefficient

Cited by 36 publications

References 19 publications

High-capacity, transparent and robust blind audio watermarking scheme based DWT and TLBO algorithm

High-capacity, transparent and robust blind audio watermarking scheme based DWT and TLBO algorithm

Putting Continuous Metaheuristics to Work in Binary Search Spaces

Investigating the Optical Switch Using Dimer Plasmonic Nano-Rods

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