WOS - Web of Science
Permanent URI for this collectionhttps://acikarsiv.thk.edu.tr/handle/123456789/2552
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Publication Smart prospects for solar-based cooling and heating systems in the Middle East and Turkey(IEEE, 2022) Baba, Abdullatif; Al Shehabi, Shadi; Bonny, M. Talal; Baba, Abdullatif; Turkish Aeronautical Association; Turk Hava Kurumu University; University of SharjahSolar-based systems represent the focal interest field for most of the newest studies of renewable energy. Solar heating and cooling systems convert thermal energy coming from the sun into electricity or heat to provide residential, commercial, and industrial areas with hot water, or to retain a specific required temperature. These technologies replace the classical fossil energy sources that are characterized by their damaging environmental impacts as well as their expensive costs. In this paper, we look at the ambitious solar projects that are already established or will be constructed in different countries of the ME and Turkey. Then, we discuss in brief most of the available technologies that rely on solar-based approaches for heating and cooling purposes. To overcome some challenges that may affect the performance of solar plants like cloudy or night environments, smart management techniques for interconnected units, or the cross-border power units of neighbored countries, are presented here and clarified by a case study. Finally, we conclude with a summary describing the most important features of our paper.Publication Electricity-consuming forecasting by using a self-tuned ANN-based adaptable predictor(ELSEVIER SCIENCE SA, 2022) Baba, Abdullatif; Baba, Abdullatif; Turkish Aeronautical Association; Turk Hava Kurumu UniversityAccurate forecasting of power consumption is an essential and modern approach for planning smart infrastructural projects that are required to overcome the future challenges of power markets. In this context, a new design of a self-tuned ANN-based adaptable predictor is presented in this paper. At first, the main design of the original adaptable predictor is clarified including its new architecture that partially relies on the Hebbian law, its training process is also explained as well as the dataset which is used for training. Then, all the details of the self-tuning-based technique are explained with all the relevant results that prove its high capability to produce more accurate forecasting outcomes. The impact of our suggested approach is introduced by explaining two different practical examples that employ the K-means clustering algorithm, and the genetic algorithm when it is used to optimize the operating/outage schedule for a group of local solar units, respectively.Publication FPGA-based parallel implementation to classify Hyperspectral images by using a Convolutional Neural Network(ELSEVIER, 2023) Baba, Abdullatif; Bonny, Talal; Baba, Abdullatif; Kuwait College Science & Technology; Turkish Aeronautical Association; Turk Hava Kurumu University; University of SharjahThanks to its richness in extractable features, Hyperspectral images (HSI) find an accelerated use in medical, industrial, agricultural, and environmental fields. In this paper, we present a wavelet-based reduction technique that creates a Hypercube containing the most significant features extracted from the original HSI and representing a multi-dimensional array that is utilized for training a Convolutional Neural Network (CNN), which is designed here to classify different types of surfaces or materials. The performance of this approach is tested and proved using two distinct datasets. Then, we compare the same approach with the PCA, a widely used reduction method. The most important contribution of this paper is the implementation of an FPGA-based parallel accelerator to train the same suggested CNN in only 10% of the computational time compared to the classical CPU-based techniques. The Microblaze will be explained and exploited here to play the role of an embedded microprocessor.Publication Voice encryption using a unified hyper-chaotic system(SPRINGER, 2023) Bonny, Talal; Al Nassan, Wafaa; Baba, Abdullatif; Baba, Abdullatif; University of Sharjah; Turk Hava Kurumu University; Turkish Aeronautical AssociationA Chaos-based cryptosystem is a vital method to enhance information protection in communication systems. The previous works have addressed this topic either by using highly complicated algorithms that are difficult to apply in practice or have a few encryption keys. This paper presents a new, highly secure chaos-based secure communication system that combines a conventional cryptography algorithm with two levels of chaotic masking technique. Furthermore, to enhance the security level, we employ the characteristic of a unified hyper-chaotic system to generate three different types of attractors. A Simulink of the stated system is implemented using MATLAB SIMULINK (R2013) to transmit a voice signal. Several testing methods such as power spectral density, spectrogram, histogram analysis, key sensitivity, correlation coefficient, signal to noise ratio (SNR), Percent Residual Deviation (PRD) are carried out to evaluate the quality of the proposed algorithm in several domains, time, frequency, and statistics. The simulation and comparison results demonstrate the high efficiency of the suggested cryptosystem and robustness against various cryptographic attacks.Publication A new design of a flying robot, with advanced computer vision techniques to perform self-maintenance of smart grids(Elsevier BV, 2022-05) Abdullatif Baba; Baba, AbdullatifPublication A fuzzy logic-based stabilization system for a flying robot, with an embedded energy harvester and a visual decision-making system(Elsevier BV, 2023-09) Abdullatif Baba; Basil Alothman; Baba, AbdullatifPublication Neural networks from biological to artificial and vice versa(Elsevier BV, 2024-01) Abdullatif Baba; Baba, Abdullatif