Browsing by Author "Gbolagade, Kazeem Alagbe"

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    Enhancing Image Security Using Data Encryption Standard, Discrete Wavelet Transform Watermarking Residue Number System and Gaussian Filtering
    (International Journal of Advanced Research in Multidisciplinary Studies, 2022-06-01) Asaju, Bolaji; Popoola, Damilola David; Gbolagade, Kazeem Alagbe
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    Residue Number System Based Convolution Neural Network Algorithm
    (International Journal of Nature And Science Advance Research, 2022-06-20) Akanbi, Abdulrahman Akanbi; Popoola, Damilola David; Gbolagade, Kazeem Alagbe
    A number of positively convergent elements have aided the development of Deep Learning. The efficiency of floating point operations is highly optimized in modern microarchitectures. A whole area of research has emerged around quantized models, which reduce by orders of magnitude the amount of required memory, with a particular focus on quantized convolution neural networks. However, there is still a need to rethink how these quantized models can then be accelerated efficiently. The research starts by recognizing that inference in convolution neural networks is fundamentally a Digital Signal Processing (DSP) task. Memory, computation, and power utilization were expensive, in a different but similar way to how they are on modern mobile platforms, whose budget is set by their battery capacity. It is therefore of utmost importance to provide an alternative solution to this problem. This research introduces Residue Number System Architecture to the process to take advantage of the limited - but not binary - range of values that the operands can assume during the convolution operation in a
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    Secure Message Transmission using Caesar Cipher and Residue Number System
    (African Scholars Journal of Science Innovation & Tech. Research, 2022-06-01) Popoola, Damilola David; Gbolagade, Kazeem Alagbe
    Secure communication across a digital medium is ensured by data security. The data should be guided against availability by unrecognised users and communicated to the right recipient in a secure and confidential manner. Although the cipher text can make data difficult for a third party to interpret, the irregular representation given to it acts as a means of drawing an attacker's attention to such data. As a result, through the design of a character swap table to swap characters to numbers and the use of RNS to convert the numbers to residues, this research proposes a scheme that integrates additional phases to the standard Caesar cipher. The proposed system was able to generate the cipher text as residues, ensuring that the message remains undetectable and difficult to crack.