HAMDAN DANIYAL

Scopus Publications

Performance analysis of moth flame optimization (MFO) and particle swarm optimization (PSO) direct tuning for high accuracy dual active bridge converter
Suliana Ab Ghani, Dineswaran Chandran, Leong Ying Foo, Hamdan Daniyal, Norazila Jaalam, Norhafidzah Mohd Saad, Nur Huda Ramlan
Aip Conference Proceedings, 2025
Real-time welding defect classification using peak count analysis of current signals with statistical validation
Afidatusshimah Mazlan, Hamdan Daniyal, Mohd Herwan Sulaiman, Mahadzir Ishak
Engineering Research Express, 2025
Welding is a critical process in heavy industries such as construction, automotive, and oil and gas, where weld quality directly impacts structural performance and safety. Traditional non-destructive testing (NDT) methods, although effective, are often labour-intensive, costly, and reliant on operator expertise. This study investigates an alternative approach using real-time monitoring of welding current signals to identify defects based on peak count variations. Under controlled laboratory conditions, welding current signals were captured and segmented into 1 mm intervals for detailed analysis. Statistical evaluation using Analysis of Variance (ANOVA) and Tukey’s post-hoc tests in R Studio revealed significant differences in peak distributions across various defect types. Good welds consistently exhibited 8–17 peaks per segment, while defects such as Lack of Penetration (LOP), Lack of Fusion (LOF), Burn-through, and Excess Weld displayed distinctive peak count deviations. These results confirm that peak count analysis is a statistically significant and reliable metric for real-time weld quality assessment. The findings lay the foundation for future development of intelligent welding systems capable of automated defect detection and adaptive process control.
Calibrating a COVID-19 System Dynamics Model with Multi-Country Cases to Enhance Model Validity
Aisyah Ibrahim, Hamdan Daniyal, Tuty Asmawaty Abdul Kadir, Roderick H. MacDonald
Proceeding 2025 IEEE 9th International Conference on Software Engineering and Computer Systems Advancements in Next Generation Intelligent Solution Icsecs 2025, 2025
Validating System Dynamics (SD) models has been a serious concern for many years. To address this issue, this study presents the validation of an SD model of COVID-19 using empirical data from multiple countries to assess both its structural and behavioural validity. The model was developed in Vensim DSS and manually calibrated to evaluate its performance against realworld data cases across five European countries: Spain, Portugal, Italy, France, and Hungary, which represent diverse outbreak contexts. The results indicate that the model successfully replicates the trends of the COVID-19 outbreak in each country, providing strong evidence of the model’s structural soundness, robustness and its capacity to adapt across diverse yet comparable contexts. Thus, uncertainty surrounding both the model’s structure and behaviour is reduced. The future implications of this study suggest that the model can support broader scenario testing and provide a foundation for future applications in other regions where validation across multiple cases is required.
Particle Swarm Optimization Based Proportional-Integral Online-Tuning by Fuzzy Logic Controller (PSOFLC-PI) for Cascaded Multilevel Inverter Different Load Scenarios
Ying Foo Leong, Nur Huda Ramlan, Suliana Ab-Ghani, Hamdan Daniyal
IEEE 8th International Conference on Electrical Control and Computer Engineering Inecce 2025 Proceedings, 2025
This research focuses on the 5-level cascaded H-bridge multilevel inverter (CHMI), utilizing a proposed controller known as PSOFLC-PI. The exact management of the multilevel inverter's (MLI) output voltage during load changes while satisfying the voltage harmonic and transition requirements—the voltage limit suggested by IEC and THD by IEEE—is the difficulty this study attempts to address. To solve this problem, PSO and FLC are integrated to ensure accurate and steady output voltage regulation while dynamically adjusting the controller in real-time tuning. MATLAB/Simulink is used to build and simulate the suggested controller, and under different load scenarios, its performance is contrasted with that of traditional PI and PSO-based PI controllers. In a variety of load scenarios, such as nominal load, no load to full load, and nonlinear load, the findings show that the PSOFLC-PI controller greatly improves output voltage regulation, reaching the intended peak voltage, minimal THD and satisfactory settling time.
Short-Time Fourier Transform and Neural Network Analysis for Welding Defect Classification Based on Current Signal Features
Afidatusshimah Mazlan, Mahadzir Ishak Mohammad, Hamdan Daniyal, Mohd Herwan Sulaimani, Siti Dhamirah'Izzati Damni
IEEE 8th International Conference on Electrical Control and Computer Engineering Inecce 2025 Proceedings, 2025
Welding quality plays a critical role in ensuring structural integrity and safety across manufacturing industries. This study introduces a signal-based approach for classifying welding defects by analyzing welding current signals using time-frequency analysis. The Short-Time Fourier Transform (STFT) was applied to extract five key frequencydomain features: peak frequency, spectral entropy, frequency centroid, mean power, and standard power spectrogram. These features were statistically validated using ANOVA and Tukey post-hoc analysis, confirming significant differences between good welds and multiple defect types. An Artificial Neural Network (ANN) classifier was developed and tested across five hidden layer configurations. The highest classification accuracy of 72.82% was achieved using five hidden neurons. However, the model demonstrated low performance in minority defect classes, with a precision of 7.30%, recall of 10.00%, and F1-score of 8.44%. These findings underscore the potential of combining STFT-based features with ANN for welding defect classification, while also highlighting limitations related to class imbalance and feature representation.
Short-Term forecasting of floating photovoltaic power generation using machine learning models
Mohd Herwan Sulaiman, Mohd Shawal Jadin, Zuriani Mustaffa, Mohd Nurulakla Mohd Azlan, Hamdan Daniyal
Cleaner Energy Systems, 2024
• Accurate forecasting of FPV power generation is critical for operational efficiency. • This study explores machine learning models for predicting FPV power generation. • Data from UMPSA solar installation are used for training and testing. • Neural Networks model achieves the highest predictive accuracy. • Results enhance FPV power generation's operational efficiency and grid integration. Floating photovoltaic (FPV) power generation requires accurate short-term forecasting to optimize operational efficiency and enhance grid integration. This study investigates the application of machine learning models for predicting FPV power generation using data from the Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) solar installation, which has a capacity of 157.20 kWp. Data were collected at 15-minute intervals from January 15 to January 21, 2024, encompassing nine input features such as ambient temperature, transient horizontal irradiation, daily horizontal irradiation, AC voltages, and AC currents for phases A, B, and C, with the total active power in kW as the target variable. The dataset was divided into a training set (first five days) and a testing set (remaining two days), and five machine learning models—Neural Networks (NN), Random Forest (RF), Extreme Learning Machine (ELM), Support Vector Regression (SVR), and Long Short-Term Memory (LSTM)—were employed. The results indicate that the Neural Networks model consistently outperforms the other machine learning algorithms in terms of predictive accuracy. These findings underscore the efficacy of machine learning techniques in forecasting FPV power generation, which has significant implications for enhancing the operational efficiency and grid integration of floating solar installations.
Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning
Mohd Herwan Sulaiman, Mohd Shawal Jadin, Zuriani Mustaffa, Hamdan Daniyal, Mohd Nurulakla Mohd Azlan
Journal of Building Engineering, 2024
Moth flame algorithm-based optimization of a reduced switch multilevel inverter topology suitable for standalone application
Ibrahim Haruna Shanono, Nor Rul Hasma Abdullah, Hamdan Daniyal, Aisha Muhammad
Neural Computing and Applications, 2024
Characterization of electrochemical double layer capacitor electrode using self-discharge measurements and modeling
Ria Kunwar, Bhupender Pal, Izan Izwan Misnon, Hamdan Daniyal, Fatemeh Zabihi, Shengyuan Yang, Zděnek Sofer, Chun-Chen Yang, Rajan Jose
Applied Energy, 2023
Hand Calibration with Limited Data As the Initial Step Towards System Dynamics Model Validation for COVID-19 Case in Malaysia
Aisyah Ibrahim, Tuty Asmawaty Abdul Kadir, Roderick H. MacDonald, Hamdan Daniyal
8th International Conference on Software Engineering and Computer Systems Icsecs 2023, 2023
This paper presents the manual calibration effort for the System Dynamics (SD) COVID-19 model for Malaysia. This study aims to develop a COVID-19 SD model based on the COVID-19 scenario in Malaysia. The SD model consisted of nine compartments and was adapted based on a standard disease SEIR model using Vensim software. While the development of the model is still ongoing, an initial validation was carried out between ‘Actively Infected’ and the case data gathered from the Malaysia Ministry of Health's official COVID-19 websites. During this period, the parameters were manually adjusted by hand to align the model's output with the actual data. The expected outcome was not easy to achieve, but the result was acceptable. It is important to note that the lack of such strategies may compromise the model's validity due to uncertainty. This paper also discusses the challenges posed by hand calibration, the lessons learned during this work, and the potential future implications of this work.
Evolutionary mating algorithm
Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, Hamdan Daniyal, Seyedali Mirjalili
Neural Computing and Applications, 2023
Adaptive online auto-tuning using Particle Swarm optimized PI controller with time-variant approach for high accuracy and speed in Dual Active Bridge converter
Suliana Ab-Ghani, Hamdan Daniyal, Abu Zaharin Ahmad, Norazila Jaalam, Norhafidzah Mohd Saad, Nur Huda Ramlan, Norhazilina Bahari
Aims Electronics and Electrical Engineering, 2023
A Holistic Architecture for a Sales Enablement Sensing-as-a-Service Model in the IoT Environment
Rashidah Funke Olanrewaju, Burhan Ul Islam Khan, Khang Wen Goh, Aisha Hassan Abdalla Hashim, Khairul Azami Bin Sidek, Zuhani Ismail Khan, Hamdan Daniyal
Information Switzerland, 2022
The internet of things vision: A comprehensive review of architecture, enabling technologies, adoption challenges, research open issues and contemporary applications
Rashidah Funke Olanrewaju, Burhan Ul Islam Khan, Aisha Hassan Abdalla Hashim, Khairul Azami Sidek, Zuhani Ismail Khan, Hamdan Daniyal
Journal of Advanced Research in Applied Sciences and Engineering Technology, 2022
Overviews of Uncertainty: Concepts, Categories and Coping Strategies in Decision Making
Aisyah Ibrahim, Tuty Asmawaty Abdul Kadir, Hamdan Daniyal, Adzhar Kamaludin
Lecture Notes in Networks and Systems, 2022
Selective Harmonic Elimination using MFO for a Reduced Switch Multi-level Inverter topology
Ibrahim Haruna Shanono, Nor Rul Hasma Abdullah, Hamdan Daniyal, Aisha Muhammad
2022 IEEE Symposium on Industrial Electronics and Applications Isiea 2022, 2022
Moth Flame Optimization Maximum Power Point Tracking Algorithm for Photovoltaic System Under Partial Shaded Conditions
Meng Chung Tiong, Hamdan Daniyal, Mohd Herwan Sulaiman, Mohd Shafie Bakar
Lecture Notes in Electrical Engineering, 2022
A High Accuracy Control of Dual Active Bridge DC-DC Converter Using PSO Online Direct Tuning
Suliana Ab-Ghani, Hamdan Daniyal, Nur Huda Ramlan, Norhafidzah Mohd Saad, Meng Chung Tiong
Lecture Notes in Electrical Engineering, 2022
Time-Variant Online Auto-Tuned PI Controller Using PSO Algorithm for High Accuracy Dual Active Bridge DC-DC Converter
Suliana Ab-Ghani, Hamdan Daniyal, Norazila Jaalam, Nur Huda Ramlan, Norhafidzah Mohd Saad
2022 IEEE International Conference on Automatic Control and Intelligent Systems I2cacis 2022 Proceedings, 2022
Dynamic Control and Performance of Dual Active Bridge Converter based Particle Swarm Optimization
S. Ab-Ghani, H. Daniyal, N. Jaalam, N. M. Saad, N. H. Ramlan
Iet Conference Proceedings, 2022
Components for COVID19 Outbreak Control Model: A System Dynamics Perspective
Aisyah Ibrahim, Tuty Asmawaty Abdul Kadir, Hamdan Daniyal, Adzhar Kamaludin
Proceedings 2021 International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management Icsecs Icocsim 2021, 2021
Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview
Aisyah Ibrahim, Hamdan Daniyal, Tuty Asmawaty, Adzhar Kamaludin
International Journal of Advanced Computer Science and Applications, 2021
Performance comparison of series and parallel damped LCL filters using 5-level voltage source converter
Ibrahim Haruna Shanono, Nor Rul Hasma Abdullah, Hamdan Daniyal, Aisha Muhammad
SN Applied Sciences, 2020
Particle swarm optimization strategy to increase efficiency of dual active bridge Dc-Dc converter
International Journal of Advanced Science and Technology, 2020
Hyperheuristics Trajectory Based Optimization for Energy Management Strategy (EMS) of Split Plug-In Hybrid Electric Vehicle
Muhammad Ikram Mohd Rashid, Ahmad Amir Solihin Mohd Apandi, Hamdan Daniyal, Mohd Ashraf Ahmad
Lecture Notes in Electrical Engineering, 2020
Online PSO-tuned phase shift angle controller for dual active bridge DC–DC converter
Suliana Ab-Ghani, Hamdan Daniyal, Nur Huda Ramlan, Meng Chung Tiong
SN Applied Sciences, 2020
Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems
Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, Hamdan Daniyal
Engineering Applications of Artificial Intelligence, 2020
Selective harmonic elimination (SHE) based 3-phase multilevel voltage source inverter (VSI) for standalone applications
Ibrahim Haruna Shanono, Nor Rul Hasma Abdullah, Hamdan Daniyal, Aisha Muhammad
SN Applied Sciences, 2019
A comparative study of hysteresis current controller and pi controller in grid-connected inverter
Christopher Ngadi Anak Julius and
International Journal of Advanced Trends in Computer Science and Engineering, 2019
Barnacles mating optimizer: An evolutionary algorithm for solving optimization
Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, Hamdan Daniyal, Ismail Musirin, Mohd Razali Daud
Proceedings 2018 IEEE International Conference on Automatic Control and Intelligent Systems I2cacis 2018, 2019
Energy management strategy (EMS) for hybrid electric vehicles based on safe experimentation dynamics (SED)
Muhammad Ikram bin Mohd Rashid, Hamdan Daniyal, Mohd Ashraf Ahmad
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
Investigation of Binary Search Algorithm as Maximum Power Point Tracking Technique in Solar PV System
Meng Chung Tiong, Hamdan Daniyal, Mohd Herwan Sulaiman, Mohd Shafie Bakar
Lecture Notes in Electrical Engineering, 2019
Investigation of Power Transfer in QAB Converter Via Phase Shift Modulation
Suliana Ab Ghani, Hamdan Daniyal, Nur Huda Ramlan, Meng Chung Tiong
Lecture Notes in Electrical Engineering, 2019
Effects of Transformer’s Turn Ratio Mismatch Towards the Performance of Dual Active Bridge Converter
Suliana Ab Ghani, Hamdan Daniyal, Nur Huda Ramlan, Meng Chung Tiong
Lecture Notes in Electrical Engineering, 2019
A Real-time Simulation Platform for Maximum Power Point Tracking Algorithm Study in Solar Photovoltaic System
Applications of Modelling and Simulation, 2019
Barnacles Mating Optimizer Algorithm for Optimization
Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, Hamdan Daniyal, Ahmad Johari Mohamad, Mohd Rizal Othman, Mohd Rusllim Mohamed
Lecture Notes in Electrical Engineering, 2019
Binary Search Algorithm-Based Maximum Power Point Tracking for Photovoltaic System under Partial Shaded Conditions
2018 20th European Conference on Power Electronics and Applications EPE 2018 Ecce Europe, 2018
Economic Dispatch Solution Using Moth-Flame Optimization Algorithm
Mohd Herwan Sulaiman, Zuriani Mustaffa, Muhammad Ikram Mohd Rashid, Hamdan Daniyal
Matec Web of Conferences, 2018
Solving the optimal reactive power dispatch problem based on moth-flame optimizer for power system operation and planning
Zuriani Mustaffa, Mohd Herwan Sulaiman, Rebecca Ng Shin Mei, Hamdan Daniyal, Muhammad Ikram Mohd Rashid, Nidzamuddeen Ishak
Proceedings 2018 IEEE Acis 19th International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing Snpd 2018, 2018
Barnacles mating optimizer: A bio-inspired algorithm for solving optimization problems
Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, Hamdan Daniyal, Mohd Razali Daud, Saifudin Razali, Amir Izzani Mohamed
Proceedings 2018 IEEE Acis 19th International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing Snpd 2018, 2018
Shunt Active Power Filter System Design for Harmonic Suppression via Wavelet Transform
Ekhlas Mhawi Thajeel, Mazin Mustafa Mahdi, Hamdan Daniyal
2018 3rd Scientific Conference of Electrical Engineering Scee 2018, 2018
Speed control of bldc motor with seamless speed reversal capability using modified fuzzy gain scheduling
Satishrao Pothorajoo, Hamdan Daniyal
Jurnal Teknologi, 2018
Hybrid fuzzy-PID bidirectional speed controller for BLDC with seamless speed reversal using direct commutation switching scheme
Journal of Telecommunication Electronic and Computer Engineering, 2018
Application of moth-flame optimizer and ant lion optimizer to solve optimal reactive power dispatch problems
Journal of Telecommunication Electronic and Computer Engineering, 2018
Monitoring the quality of welding based on welding current and ste analysis
Afidatusshimah Mazlan, Hamdan Daniyal, Amir Izzani Mohamed, Mahadzir Ishak, Amran Abdul Hadi
Iop Conference Series Materials Science and Engineering, 2017
PID bidirectional speed controller for BLDC with seamless speed reversal using Direct Commutation Switching Scheme
Satishrao Pothorajoo, Hamdan Daniyal
2017 IEEE 8th Control and System Graduate Research Colloquium Icsgrc 2017 Proceedings, 2017
Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique
Rebecca Ng Shin Mei, Mohd Herwan Sulaiman, Zuriani Mustaffa, Hamdan Daniyal
Applied Soft Computing Journal, 2017
Binary search algorithm as maximum power point tracking technique for photovoltaic system under partial shaded conditions
Meng Chung Tiong, Hamdan Daniyal, Mohd Herwan Sulaiman, Mohd Shafie Bakar
2017 IEEE Conference on Energy Conversion Cencon 2017, 2017
ADVISOR Simulation and Performance Test of Split Plug-in Hybrid Electric Vehicle Conversion
Muhammad Ikram Mohd Rashid, Hamdan Danial
Energy Procedia, 2017
An efficient control implementation for inverter based harmony search algorithm
Mushtaq Najeeb, Hamdan Daniyal, Ramdan Razali, Muhamad Mansor
International Journal of Power Electronics and Drive Systems, 2017
An intelligent voltage controller for a PV inverter system using simulated annealing algorithm-based PI tuning approach
Mushtaq Najeeb, Muhamad Mansor, Razali Ramdan, Daniyal Hamdan, Mahmood Ali
Journal of Engineering and Applied Sciences, 2017
Experimental implementation controlled SPWM inverter based harmony search algorithm
International Journal of Renewable Energy Research, 2017
Comparison performance of split plug-in hybrid electric vehicle and hybrid electric vehicle using ADVISOR
Muhammad Ikram Mohd Rashid, Hamdan Daniyal, Danial Mohamed
Matec Web of Conferences, 2016
An optimized PID parameters for LFC in interconnected power systems using MLSL optimization algorithm
Arpn Journal of Engineering and Applied Sciences, 2016
Numerical investigation on serpentine flow field and rhombus electrolyte compartment of vanadium redox flow battery (V-RFB)
Arpn Journal of Engineering and Applied Sciences, 2016
Control of dc motor external resistor starter by using armature current decay sensing technique
Arpn Journal of Engineering and Applied Sciences, 2016
Comparative study of p&o and modified incremental conductance algorithm in solar maximum power point tracking
Iet Conference Publications, 2016
An application of moth-flame optimization algorithm for solving optimal reactive power dispatch problem
M.H. Sulaiman, Z. Mustaffa, O. Aliman, H. Daniyal, M.R. Mohamed
Iet Conference Publications, 2016
Investigation on chassis dynamometer with capability to test regenerative braking function
Nurul Azwa Othman, Hamdan Daniyal
International Journal of Power Electronics and Drive Systems, 2015
Advanced techniques in harmonic suppression via active power filter: A review
Ekhlas Mhawi, Hamdan Daniyal, Mohd Herwan Sulaiman
International Journal of Power Electronics and Drive Systems, 2015
Modelling and simulation of split plug-in hybrid electric vehicle using advisor
Arpn Journal of Engineering and Applied Sciences, 2015
Arduino based power meter using instantaneous power calculation method
Arpn Journal of Engineering and Applied Sciences, 2015
Performance analysis of active power filter for harmonic compensation using PI-PSO
Arpn Journal of Engineering and Applied Sciences, 2015
Simulation on modified hysteresis current control in half-bridge bidirectional DC-DC converter
Arpn Journal of Engineering and Applied Sciences, 2015
Matrix converter: A review
Arpn Journal of Engineering and Applied Sciences, 2015
Experimental study of SBPWM for Z-source inverter five phase
Mohd Shafie Bakar, Nasrudin Abd. Rahim, Hamdan Daniyal, Kamarul Hawari Ghazali
International Journal of Power Electronics and Drive Systems, 2015
Solving Optimal Reactive Power planning problem utilizing nature inspired computing techniques
Arpn Journal of Engineering and Applied Sciences, 2015
Three-phase variable speed drive using ARM Cortex-M3
M.A.M. Azmi, M.S. Bakar, H. Daniyal
Iet Seminar Digest, 2014
Design and development of digital ramptime current control technique
Hamdan Daniyal, Lawrence J. Borle, Herbert H. C. Iu, Eric Lam
IEEE Transactions on Industrial Informatics, 2013
An open loop evaluation of five phase Z-source inverter
International Review of Automatic Control, 2013
Modified Firefly Algorithm in solving economic dispatch problems with practical constraints
Mohd Herwan Sulaiman, Hamdan Daniyal, Mohd Wazir Mustafa
Pecon 2012 2012 IEEE International Conference on Power and Energy, 2012
Hysteresis, PI and Ramptime Current Control Techniques for APF: An experimental comparison
Hamdan Daniyal, Eric Lam, Lawrence J. Borle, Herbert H. C. Iu
Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications Iciea 2011, 2011
Design and development of digital Ramptime current control technique
H. Daniyal, L. J. Borle, E. Lam, H. H. C. Iu
8th International Conference on Power Electronics Ecce Asia Green World with Power Electronics Icpe 2011 Ecce Asia, 2011
Comparing current control methods using an active power filter application as the benchmark
2008 Australasian Universities Power Engineering Conference Aupec 2008, 2008
Experimental verification of the linear current transformer model
2008 Australasian Universities Power Engineering Conference Aupec 2008, 2008
Forward kinematics of 3 degree of freedom delta robot
Mahfuzah Mustafa, Rosita Misuari, Hamdan Daniyal
2007 5th Student Conference on Research and Development Scored, 2007

HAMDAN DANIYAL

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