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  1. 1
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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    Final Year Project
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  2. 2
    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING

    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING by SALLEH AL-HUMAIKANI, MOHAMMED ABDULQAWI

    Published 2021
    “…RSA is one of these encryption algorithms that have been implemented in security systems. …”
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    Thesis
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  3. 3
    An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe

    An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe by Yakub Kayode, Saheed, Kazeem Alagbe, Gbolagade

    Published 2017
    “…Java programming language is used to implement the algorithm. …”
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  4. 4
    Secure Image Steganography Using Encryption Algorithm

    Secure Image Steganography Using Encryption Algorithm by Siti Dhalila, Mohd Satar, Roslinda, Muda, Fatimah, Ghazali, Mustafa, Mamat, Nazirah, Abd Hamid, An, P.K

    Published 2016
    “…A system based on the proposed algorithm will be implemented using Java and it will be more secured due to double-layer of security mechanisms which are RSA and Diffie-Hellman.…”
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    Conference or Workshop Item
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  5. 5
    Digitally signed electronic certificate for workshop / Azinuddin Baharum

    Digitally signed electronic certificate for workshop / Azinuddin Baharum by Baharum, Azinuddin

    Published 2017
    “…Digital Signature was encrypted by RSA Algorithm, a very powerful asymmetrical encryption. …”
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  6. 6
    Self-tuning control of an electro-hydraulic actuator system

    Self-tuning control of an electro-hydraulic actuator system by Ghazali, Rozaimi, Md Sam, Yahaya, Rahmat, Mohd Fua'ad, Jusoff, Kamaruzaman, Zulfatman, Mohd Hashim, Abd Wahab Ishari

    Published 2011
    “…A discrete-time model is developed using system identification method to represent the EHA system and residual analysis is used for model validation. …”
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  7. 7
    Interaction effect of process parameters and Pd-electrocatalyst in formic acid electro-oxidation for fuel cell applications: Implementing supervised machine learning algorithms

    Interaction effect of process parameters and Pd-electrocatalyst in formic acid electro-oxidation for fuel cell applications: Implementing supervised machine learning algorithms by Hossain S.K.S., Ali S.S., Rushd S., Ayodele B.V., Cheng C.K.

    Published 2023
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  8. 8
    Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity

    Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity by Dehkordi, Sepehr Ghasemi

    Published 2014
    “…The proposed THF-NLFXLMS algorithm models the Wiener secondary path and applies the estimated degree of nonlinearity of the nonlinear secondary path in the control algorithm design. …”
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  9. 9
    Optimization Of Sliding Mode Control Using Particle Swarm Algorithm For An Electro-Hydraulic Actuator System

    Optimization Of Sliding Mode Control Using Particle Swarm Algorithm For An Electro-Hydraulic Actuator System by Rozaimi, Ghazali

    Published 2016
    “…The dynamic parts of electro-hydraulic actuator(EHA) system are widely applied in the industrial field for the process that exposed to the motion control.In order to achieve accurate motion produced by these dynamic parts,an appropriate controller will be needed.However,the EHA system is well known to be nonlinear in nature.A great challenge is carried out in the EHA system modelling and the controller development due to its nonlinear characteristic and system complexity.An appropriate controller with proper controller parameters will be needed in order to maintain or enhance the performance of the utilized controller.This paper presents the optimization on the variables of sliding mode control (SMC) by using Particle Swarm Optimization (PSO) algorithm.The control scheme is established from the derived dynamic equation which stability is proven through Lyapunov theorem.From the obtained simulation results,it can be clearly inferred that the SMC controller variables tuning through PSO algorithm performed better compared with the conventional proportionalintegral-derivative (PID) controller.…”
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  10. 10
    Determining optimum carob powder adsorbtion for cleaning wastewater: intelligent optimization with electro-search algorithm

    Determining optimum carob powder adsorbtion for cleaning wastewater: intelligent optimization with electro-search algorithm by Gezer, B., Kose, U., Zubov, D., Deperlioglu, O., Vasant, P.

    Published 2020
    “…Additionally, some alternative intelligent optimization algorithms were also used for determining optimum values. …”
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  11. 11
    Modeling and development of predictive controller for positioning control of electro-hydraulic actuator (EHA) system

    Modeling and development of predictive controller for positioning control of electro-hydraulic actuator (EHA) system by Sulaiman, Siti Fatimah, Ngateni, Nurul Aini, Osman, Khairuddin, Samsudin, Sharatul Izah, Sulaiman, Noor Asyikin, Sunar, Noorhazirah

    Published 2024
    “…An Electro-Hydraulic Actuator (EHA) is a hydraulic system that is commonly used in applications that require high power concentrations, efficient energy dissipation, or exceptionally high forces. …”
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  12. 12
    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System

    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Shahrol Mohamaddan, Shahrol Mohamaddan

    Published 2023
    “…The System identification (SI) black box method is used in this study to obtain the mathematical model of a fiber braided bending actuator (FBBA) using MATLAB Simulink. …”
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  13. 13
    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System

    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Ili Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Shahrol Mohamaddan, Shahrol Mohamaddan

    Published 2023
    “…The System identification (SI) black box method is used in this study to obtain the mathematical model of a fiber braided bending actuator (FBBA) using MATLAB Simulink. …”
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  14. 14
    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System

    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

    Published 2023
    “…The System identification (SI) black box method is used in this study to obtain the mathematical model of a fiber braided bending actuator (FBBA) using MATLAB Simulink. …”
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  15. 15
    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System

    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Ili Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

    Published 2023
    “…The System identification (SI) black box method is used in this study to obtain the mathematical model of a fiber braided bending actuator (FBBA) using MATLAB Simulink. …”
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  16. 16
    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System

    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

    Published 2023
    “…The System identification (SI) black box method is used in this study to obtain the mathematical model of a fiber braided bending actuator (FBBA) using MATLAB Simulink. …”
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  17. 17
    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System

    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

    Published 2023
    “…The System identification (SI) black box method is used in this study to obtain the mathematical model of a fiber braided bending actuator (FBBA) using MATLAB Simulink. …”
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  18. 18
    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System

    Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System by Muhammad Nasir, Mohd Nizar, Mohd Nordin, Najaa Aimi, Mohd Faudzi, Ahmad Athif, Muftah, Mohamed Naji, Mhd Yusoff, Mohd Akmal, Mohamaddan, Shahrol

    Published 2023
    “…: The System identification (SI) black box method is used in this study to obtain the mathematical model of a fiber braided bending actuator (FBBA) using MATLAB Simulink. …”
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  19. 19
    Normalized SPSA for Hammerstein model identification of twin rotor and electro-mechanical positioning systems

    Normalized SPSA for Hammerstein model identification of twin rotor and electro-mechanical positioning systems by Nik Mohd Zaitul Akmal, Mustapha, Mohd Ashraf, Ahmad

    Published 2025
    “…The effectiveness of the proposed method was validated by modeling the actual systems, which included the twin-rotor system (TRS) and the electro-mechanical positioning system (EMPS). …”
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  20. 20
    Nonlinear THF-FXLMS algorithm for active noise control with loudspeaker nonlinearity

    Nonlinear THF-FXLMS algorithm for active noise control with loudspeaker nonlinearity by Ghasemi, Sepehr, Raja Ahmad, Raja Mohd Kamil, Marhaban, Mohammad Hamiruce

    Published 2016
    “…The proposed THF-NLFXLMS algorithm, models the nonlinear secondary path and applies the estimated degree of nonlinearity in the control algorithm design. …”
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