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Hybrid Successive CFA Image Encryption-Watermarking Algorithm Based on the Quaternionic Wavelet Transform (QWT)

Journal of Information Security 2022年第4期13卷 244-256页

作者： hervé abena ndongo Marcelin Vournone Mireille Pouyap Taya Ngakawa Paul abena Malobe Energy Signal Imaging and Automatic Laboratory (LESIA) Department of Electrical and Industrial Automatic Engineering National School of Agro-Industrial Sciences (ENSAI) University of Ngaoundere Ngaoundere Cameroon Mapping Production Division Department of Data Collection National Institute of Cartography Yaounde Cameroon Department of Physics Higher Teacher Training College University of Maroua Maroua Cameroon Department of Physics Faculty of Science (FS) University of Ngaoundere Ngaoundere Cameroon

In this paper, we present a new robust hybrid algorithm combining successively chaotic encryption and blind watermarking of images based on the quaternionic wavelet transform (QWT) to ensure the secure transfer of digital data. The calculations of the different evaluation parameters have been performed in order to determine the robustness of our algorithm to certain attacks. The application of this hybrid algorithm on CFA (Color Filter Array) images, allowed us to guarantee the integrity of the digital data and to propose an autonomous transmission system. The results obtained after simulation of this successive hybrid algorithm of chaotic encryption and then blind watermarking are appreciated through the values of the evaluation parameters which are the peak signal-to-noise ratio (PSNR) and the correlation coefficient (CC), and by the visual observation of the extracted watermarks before and after attacks. The values of these parameters show that this successive hybrid algorithm is robust against some conventional attacks.

关键词： Encryption Blind Watermarking Chaos CFA Images QWT

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A Novel Hybrid MPPT for Wind Energy Conversion Systems Operating under Low Variations in Wind Speed

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Energy and Power Engineering 2020年第12期12卷 716-728页

作者： Paul abena Malobe Philippe Djondine Pascal Ntsama Eloundou hervé abena ndongo Department of Physics Faculty of Science The University of Ngaoundéré Ngaoundéré Cameroon Department of Physics Higher Teacher Training College of Bertoua The University of Ngaoundéré Bertoua Cameroon

This manuscript presents a new approach MPPT (Maximum Power Point Tracking) for improving and optimizing the performance of a Wind Energy Conversion System (WECS) operating for small variations in wind speed by combining sliding mode control and fuzzy logic control. The proposed method consists of optimizing the sliding mode controller by the fuzzy controller. The main purpose of the Sliding Mode control-Fuzzy Logic controller (SM-FL) is to ensure the robustness (by eliminating certain disadvantages of the sliding mode control such as the phenomenon of chattering) and the stability of the control system in the case of small variations in conditions atmospheric (here variation of the wind). Our system consists of a wind turbine, a Permanent Magnet Synchronous Generator (PMSG) and a DC-DC boost converter connected to a continuous load. The performances of the method suggested are compared with those of fuzzy logic and fuzzy-Proportional Integral (FL-PI) in term speed of convergence, of tracking time and tracking efficiency. The results of numerical simulation of our system confirmed the best performance of this method.

关键词： MPPT Sliding Mode-Fuzzy Logic Controller Wind Energy Conversion System Chattering

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