A generalized chaotic baker map configuration for reducing the power loss under shading conditions

2020 ◽  
Vol 102 (4) ◽  
pp. 2227-2244
Author(s):  
Venkata Madhava Ram Tatabhatla ◽  
Anshul Agarwal ◽  
Tirupathiraju Kanumuri
Author(s):  
Venkata Madhava Ram Tatabhatla ◽  
Anshul Agarwal ◽  
Tirupathiraju Kanumuri

The location of shaded and unshaded panels affect power generation of solar photo-voltaic array, which not only causes the disturbance in characteristic curves but also achieves multiple maximum peaks. In order to overcome these issues, panel reconfiguration is proposed based on chaotic baker map technique, which employs the concept of image processing. In this approach, the static position of a panel is changed without altering the electrical circuit to minimize the power loss and enhance the maximum power. The proposed method is tested with different sizes of solar photo-voltaic array considering a wide range of shading spectrum on both software and hardware platforms. The proposed approach augments the output power and minimizes the mismatch power loss by reducing the mismatch in row currents with both simulations and prototype results. The results of the proposed approach are compared with hitherto known configurations under various shading conditions, which support the effectiveness of the proposed approach.


2006 ◽  
Vol 352 (1-2) ◽  
pp. 78-82 ◽  
Author(s):  
Gonzalo Alvarez ◽  
Shujun Li

2020 ◽  
Vol 17 (5) ◽  
pp. 2130-2135
Author(s):  
S. Saravanan ◽  
M. Sivabalakrishnan

In this paper, we propose a new image encryption method based on Chaos Baker map and Lanczos algorithm. Two levels of security are achieved to enhance the level of image security. In the first level, the Chaotic Baker map is a randomization technique used to make the pixels more shuffled. A pseudo-random generator is used with the second-level Lanczos algorithm which is applied to generate eigenvalues and eigenvectors. The proposed method resists various attacks: plaintext attacks, maximum deviation, correlation analysis and key sensitivity. Experimental results show that this method has better time complexity when protecting images.


2020 ◽  
Vol 20 (1) ◽  
pp. 68-81
Author(s):  
Hesham Alhumyani

AbstractThis paper presents an efficient image cipher based on applying the chaotic Baker Map (BM) in the Discrete Cosine Transform (DCT). The encryption module of the proposed DCT-based BM image cipher employs a DCT on the original plain-image then, the DCT coefficients of the plain-image are shuffled with the BM. Finally, the inverse DCT is applied to the shuffled plain-image DCT coefficients to obtain the final cipher-image. The decryption module of the proposed DCT-based BM image cipher employs a DCT on the input cipher-image then, the DCT coefficients of the cipher-image are inversely shuffled with the BM. Finally, the inverse DCT is applied to the inversely shuffled cipher-image DCT coefficients to obtain the original plain-image. A set of experimental tests are performed to test the validity of the proposed DCT-based BM image cipher and the performed tests demonstrated the superiority of the proposed DCT-based BM image cipher in terms of statistical, differential, sensitivity and noise immunity.


Recently, security for the image is becoming very important. Image Encryption is the only choice in protecting the digital image by transforming the image into an unreadable format. There are many methods used to protect against unauthorized access. This research proposes a framework for image encryption using Chaos Baker map with SHA-1 algorithm. The Chaotic Baker map is a randomization technique used to make the pixels more shuffled. Key generation is essential part of image encryption, which will be carried out by SHA-1 algorithm. Experimental results show that the proposed method is well suited for high security, key sensitivity and resists various attacks.


Author(s):  
Osama S. Faragallah ◽  
Ensherah A. Naeem ◽  
Walid El-Shafai ◽  
Noha Ramadan ◽  
Hossam El-din H. Ahmed ◽  
...  

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