RIZAUDDIN BIN RAMLI

Scopus Publications

A Systematic Review of Deep Reinforcement Learning for Legged Robot Locomotion
Bingxiao Sun, Sallehuddin Mohamed Haris, Rizauddin Ramli
Instruments, 2026
Legged robot locomotion remains a critical challenge in robotics, demanding control strategies that are not only dynamically stable and robust but also capable of adapting to complex and changing environments. deep reinforcement learning (DRL) has recently emerged as a powerful approach to automatically generate motion control policies by learning from interactions with simulated or real environments. This study provides a systematic overview of DRL applications in legged robot control, emphasizing experimental platforms, measurement techniques, and benchmarking practices. Following PRISMA guidelines, 27 peer-reviewed studies published between 2018 and 2025 were analyzed, covering model-free, model-based, hierarchical, and hybrid DRL frameworks. Our findings reveal that reward shaping, policy representation, and training stability significantly influence control performance, while domain randomization and dynamic adaptation methods are essential for bridging the simulation-to-real-world gap. In addition, this review highlights instrumentation approaches for evaluating algorithm effectiveness, offering insights into sample efficiency, energy management, and safe deployment. The results aim to guide the development of reproducible and experimentally validated DRL-based control systems for legged robots.
Hybrid fuzzy-SVM collaborative reasoning framework for intelligent CNC turning process planning
Huaying Qiao, Rizauddin Ramli, Liancheng Zheng, Jiutao Zhao
Frontiers in Mechanical Engineering, 2026
Introduction The optimization of machining process decision-making remains a major challenge in intelligent manufacturing due to the uncertainty of process information, incompleteness of rule bases, and the tendency of traditional algorithms to converge to local optima. Therefore, enhancing the adaptability and robustness of decision-making systems is a crucial task for achieving efficient and reliable computer numerical control (CNC) process planning. Methods This study proposes a hybrid decision-making approach that integrates fuzzy theory with support vector machines (SVM) to address uncertainty and incomplete knowledge representation in CNC turning. An Analytic Hierarchy Process (AHP) is used to determine the relative importance of influencing factors, and trapezoidal membership functions are designed to determine the credibility of fuzzy reasoning rules. When the credibility value falls below a defined threshold, a linear-kernel SVM model is activated to provide alternative decisions which formed a fuzzy-SVM collaborative reasoning mechanism. Results Experimental validation demonstrates that the proposed hybrid fuzzy-SVM collaborative method achieves remarkable classification accuracy on the test dataset. The system maintains stable performance even under low-credibility or incomplete rule conditions. The SVM module effectively compensates for the limitations of the fuzzy reasoning process, thereby improving the robustness of decision inference compared to single-model approaches. Conclusion The proposed fuzzy-SVM collaborative reasoning framework enhances the adaptability, stability, and interpretability of CNC machining process decision-making. These findings offer a practical and scalable solution for intelligent process planning in complex and uncertain manufacturing environments.
Experimental evaluation of magneto-rheological devices for impact reduction control in gun recoil system using adaptive hybrid skyhook active force control
Mohd Sabirin Rahmat, Khisbullah Hudha, Zulkiffli Abd Kadir, Noor Hafizah Amer, Seung-Bok Choi, Rizauddin Ramli
Journal of Intelligent Material Systems and Structures, 2026
This paper presents experimental results for impact reduction of a gun recoil system equipped in a light-armoured military vehicle using a magneto-rheological (MR) device associated with a new adaptive hybrid skyhook active force control (HySAFC). The main motivation of this work is to resolve some drawbacks of conventional hydraulic damper system such as high maintenance cost, oil leakage and slow response by utilizing controllability of the impact intensity incorporating an appropriate controller. To address the solution of the problem, the MR device consists of two key components, namely MR elastomer isolator device (MREID) and MR fluid damper (MRFD) is proposed. Both devices are installed in parallel to the gun recoil system to achieve high performance: MREID (two stages of coil turns, five MRE layers with 2 mm thickness plates) and MRFD (RD-8040, Lord Corp.). Then, the HySAFC is formulated to unwanted vibration/shock caused from the impact force and implemented to the gun recoil system of a specially instrumented light-armoured vehicle. The effectiveness of the proposed vibration/shock control system is evaluated through hardware-in-the-loop simulation (HILS). It is demonstrated that the proposed MR device-based system with the adaptive HySAFC shows a promising potential to mitigate unwanted recoil energy up to 51% which is much higher than the conventional hydraulic damper system.
Symmetry-Enhanced Intelligent Switching Control for Support-Swing Phase Transition in Robotic Exoskeleton
Liancheng Zheng, Sahbi Boubaker, Rizauddin Ramli, Souad Kamel, Nor Kamaliana Khamis, Mohamad Hazwan Mohd Ghazali
Symmetry, 2025
This paper proposes a novel intelligent switching control strategy for a five-bar lower limb exoskeleton. First, during the support phase, terminal sliding mode control (TSMC) is employed to ensure robust stability and high-torque amplification capabilities. Then, during the swing phase, a hybrid controller combining proportional-integral-derivative (PID) control and the adaptive neuro-fuzzy inference system (ANFIS) is implemented to generate natural and compliant leg movements. Finally, to achieve smooth transitions between phases, an intelligent switching algorithm based on multi-sensor information fusion is proposed. Simulation results demonstrate that the proposed strategy keeps trajectory tracking errors below 0.05 across all gait phases and achieves stable torque amplification ratios ranging from 1:6 to 1:10. This performance significantly reduces the user’s physical exertion. These findings validate the effectiveness of this control framework in improving the stability and comfort of human–machine interaction.
RGB vs. HSV for Kitchen Fire Detection with YOLOv5
Norisza Dalila Ismail, Rizauddin Ramli, Mohd Nizam Ab Rahman
Pertanika Journal of Science and Technology, 2025
Kitchen fires pose a significant challenge and threat to people and the environment. Prompt response and accurate classification of fire occurrences are crucial to ensure safety and reduce potential property damage. This study addresses the need for effective fire detection technologies by evaluating the performance of the You Only Look Once version 5 medium (YOLOv5m) model using both hue, saturation, and value (HSV) and visible light (red, green, and blue [RGB]) color spaces. To reduce false positives, the experiment was expanded by including background images in the training dataset. Two kitchen fire datasets, one in RGB and one in HSV, were used to train and evaluate the model. Based on the results, HSV color space offers higher recall and precision for fire-on-pan detection, achieving 0.882 and 0.931, outperforming RGB. The best overall mean performance was in the first experiment, RGB without background images, resulting in the highest mean average precision (mAP)@0.5:0.95 score of 0.651. This performance was limited by lower recall and precision compared to HSV in specific fire scenarios. A key limitation of this study is its focus on kitchen environments, for which the findings may not be directly generalizable to other fire scenarios with different environmental conditions or fire characteristics. Furthermore, the study is limited to the YOLOv5m architecture, where other detection models may yield different results. In terms of kitchen fire detection, this study provides a comprehensive comparison of the RGB and HSV color spaces, offering insights into their benefits and drawbacks. This research shows that the HSV color space is useful in certain fire detection scenarios, and that combining the two color spaces yields an improved detection model for real-time applications.
Multi-Criteria Evaluation of Service Life of Turbocharger Component using Analytic Network Process for Performance Upgrade in Remanufacturing
, Hamdiani Anwar, Nurhasyimah Abd Aziz, , , Dzuraidah Abd Wahab, , , Rizauddin Ramli, , , Abdul Hadi Azman, , and
Jurnal Kejuruteraan, 2025
Performance upgrade in remanufacturing process is one of the lifecycle extension strategies which provides additional values in a used product. The consideration to upgrade the performance requires thorough investigation at the design stage, by integrating Design for Upgrade (DfU) strategies. One of the factors that need to be considered include the service life of the component to ensure proper upgrade can be accomplished in the next life cycle of the component. This study is aimed to evaluate the service life related criteria that affect the decision making when selecting the suitable and best alternative to upgrade the performance of the automotive component. An automotive turbocharger has been selected as the case exemplary of the study. Hence, this study proposes the multi-criteria decision-making approach by using Analytic Network Process (ANP) to evaluate the best selected alternative for performance upgrade of turbocharger component. There are four (4) alternatives were identified which include Alternative 1-Dual bearing system, Alternative 2-Compressor diameter, Alternative 3-Heat insulator layer on compressor and Alternative 4-Improve lubrication system. Besides, ten criteria were identified through literature surveys and online surveys involving 20 respondents and eight criteria were finalised for evaluation using ANP. The eight criteria involved were arranged according to different levels of criteria and sub-criteria. To complete the evaluation using ANP, three experts were involved to assign the scores in each criterion, sub-criteria and alternatives and thus, the weightage can be further calculated using ANP model. The findings show that Alternative 4 ranked at the first place with priority score of 0.50 compared to other alternatives. The robustness of the ANP model was further verified using sensitivity analysis which depict that Alternative 4 has still remained at the first place as the best selected alternative.
Swarm-initialized adaptive controller with beetle antenna searching of wearable lower limb exoskeleton for sit-to-stand and walking motions
Mohammad Soleimani Amiri, Rizauddin Ramli, Mien Van
ISA Transactions, 2025
Predictive Performance of Anti-Lock Braking System with PID Controller Optimized by Gravitational Search Algorithm for a Quarter Car Model: Simulation Modeling and Control
Mohd Sabirin Rahmat, Fauzi Ahmad, Vimal Rau Aparow, Rizauddin Ramli, Sallehuddin Mohamed Haris, et al.
Automotive Experiences, 2025
Anti-lock Braking Systems (ABS) are critical safety components in the passenger vehicles. The ABS prevents wheel lock-up during braking and maintains vehicle control. However, conventional braking systems have produced limitations in stopping distance and slip ratio, especially on varying road surfaces. This research addresses these issues by developing an ABS model using a quarter-car framework incorporated with a PID controller optimized by using Gravitational Search Algorithm (GSA). In this study, the mathematical equation of a quarter-car brake model is derived to represent a conventional braking system to provide a basis system for analyzing its performance. Next, a Simulink model is developed in MATLAB to simulate the conventional braking system. To develop an ABS model, a PID controller is developed. The PID parameters are tuned manually using a trial-and-error approach to provide a baseline for comparison. Subsequently, GSA is applied to optimize the PID controller parameters to improve stopping distance and maintain optimal slip ratios. The ABS performance is evaluated by analyzing performance criteria including stopping distance, slip ratio, vehicle speed, and wheel speed. Comparative analysis indicated significant improvements in braking performance against the conventional system. The ABS with PID controller optimized by GSA reduced stopping distances, better slip ratio control, and improved vehicle stability during braking. The expected finding of the proposed ABS with PID optimized by GSA offers considerable advancements in automotive braking technology. These results underscore the potential for real-world applications in enhancing vehicle safety systems, contributing to safer and more reliable passenger vehicle braking performance.
Fuzzy Adaptive Controller of a Wearable Assistive Upper Limb Exoskeleton Using a Disturbance Observer
Mohammad Soleimani Amiri, Rizauddin Ramli
IEEE Transactions on Human Machine Systems, 2025
The motivation behind the development of a wearable assistive upper limb exoskeleton robot was to provide comprehensive multijoint therapy by assisting physiotherapists in enhancing the recovery of hemiplegic patients. However, the controlling of an upper limb exoskeleton for rehabilitation is a challenging task because of its nonlinear characteristics. This article presents a novel fuzzy adaptive controller that utilizes a high-dimensional integral-type Lyapunov function for a wearable assistive upper limb exoskeleton. A disturbance observer had been used to tackle uncertainties in the exoskeleton's dynamic model, thereby enhancing the tracking performance of the joints. The aim of this control scheme was to overcome unknown parameters in the dynamic model. The performance of the adaptive controller was validated through human interactive experiments and periodically repeated reference trajectory tests. The results demonstrated that the proposed fuzzy adaptive controller, with the inclusion of a disturbance observer, could effectively compensate for uncertain disturbances and could achieve efficient tracking of the reference trajectory. The statistical analysis revealed that the fuzzy adaptive controller performed 45%, 44%, and 31% less in average error compared to adaptive conventional controllers. The findings ascertained the potential of the proposed controller in improving the recovery of motor functions of hemiplegic patients.
Swarm Based Adaptive Control of Wearable Rehabilitation Robot
Mohammad Soleimani Amiri, Rizauddin Ramli
Lecture Notes in Networks and Systems, 2025
A MOTION CONTROL MODEL FOR MULTI-LEGGED ROBOTS BASED ON NEURAL NETWORKS
Bingxiao Sun, Sallehuddin Mohamed Haris, Rizauddin Ramli
Mechatronic Systems and Control, 2025
A Systematic Literature Review of Vision-Based Fire Detection, Prediction and Forecasting
, Norisza Dalila Ismail, Rizauddin Ramli, , Mohd Nizam Ab Rahman, and
Jurnal Kejuruteraan, 2025
Sliding Mode Controller navigation algorithm using tag-based fiducial marker detection and fuzzy logic system
Mohammad Soleimani Amiri, Rizauddin Ramli, Ahmad Barari
Archives of Control Sciences, 2025
Radial Basis Function Neural Network Adaptive Controller for Wearable Upper-Limb Exoskeleton with Disturbance Observer
Mohammad Soleimani Amiri, Sahbi Boubaker, Rizauddin Ramli, Souad Kamel
CMES Computer Modeling in Engineering and Sciences, 2025
Perceptions of using exoskeleton technology among physiotherapists and stroke survivors in Malaysia: a mixed methods study
Devinder Kaur Ajit Singh, Deepashini Harithasan, Aiman Mat Najib, Muhammad Shafiq Ishak, Rizauddin Ramli
Disability and Rehabilitation Assistive Technology, 2025
Efficient 3D Modeling and Semantic Segmentation of Oil Palm Trees Based on PointNet
Chuangang Zhao, Mohd Faisal Ibrahim, Rizauddin Ramli, Mohd Hairi Mohd Zaman, Seyed Abdollah Vaghefi
2025 IEEE International Conference on Agrosystem Engineering Technology and Applications Agreta 2025, 2025
Fuzzy Logic Model for Selection of Performance Upgrade Alternatives in Remanufacturing: Case of Brake Caliper Component
, Nurhasyimah Abd Aziz, , Dzuraidah Abd Wahab, , , Rizauddin Ramli, , , Abdul Hadi Azman, , and
Jurnal Kejuruteraan, 2024
Actuators and transmission mechanisms in rehabilitation lower limb exoskeletons: A review
Norazam Aliman, Rizauddin Ramli, Mohammad Soleimani Amiri
Biomedizinische Technik, 2024
The Effects of Increased Distance Travel on the Operating Costs of Freight Truck Vehicles
, Siti Aishah Hadawiah Ahmad, Mohd Nizam Ab Rahman, , , Rizauddin Ramli, , Ariff Azly Muhamed, and
Jurnal Kejuruteraan, 2024
Admittance swarm-based adaptive controller for lower limb exoskeleton with gait trajectory shaping
Mohammad Soleimani Amiri, Rizauddin Ramli
Journal of King Saud University Computer and Information Sciences, 2024
Performance Evaluation Approach for the Parametric Upgrade of Automotive Brake Caliper in Remanufacturing
Nurhasyimah Abd Aziz, Dzuraidah Abd Wahab, Rizauddin Ramli
Lecture Notes in Mechanical Engineering, 2024
PID CONTROLLER FOR UNMANNED AERIAL VEHICLE IN CLOSED ENVIRONMENT USING FIDUCIAL MARKER SYSTEMS
Journal of Advanced Manufacturing Technology, 2024
Hybrid Machining: A Review on Recent Progress
N. N. Nor Hamran, J. A. Ghani, R. Ramli, W. M. F. Wan Mahmood
Springer Proceedings in Materials, 2024
Utilization of Taguchi method in screening significant factors affecting spray droplets in minimum quantity lubricant using computational fluid dynamic
Jurnal Tribologi, 2023
MyWSL: Malaysian words sign language dataset
Rina Tasia Johari, Rizauddin Ramli, Zuliani Zulkoffli, Nizaroyani Saibani
Data in Brief, 2023
Optimally Initialized Model Reference Adaptive Controller of Wearable Lower Limb Rehabilitation Exoskeleton
Mohammad Soleimani Amiri, Rizauddin Ramli, Ahmad Barari
Mathematics, 2023
A Systematic Literature Review on Vision-Based Hand Gesture for Sign Language Translation
, Rina Tasia Johari, Rizauddin Ramli, , Zuliani Zulkoffli, , Nizaroyani Saibani, and
Jurnal Kejuruteraan, 2023
Simulation Study of the parameters that affecting the droplets size produced in a Minimum Quantity Lubrication (MQL) system using a Computational Fluid Dynamic (CFD)
Jurnal Tribologi, 2023
Simultaneous Localization and Mapping and Tag-Based Navigation for Unmanned Aerial Vehicles
Universiti Kebangsaan Malaysia, Mohammad Soleimani Amiri, Rizauddin Ramli, Universiti Kebangsaan Malaysia, Aiman Hakimi Faizal, Universiti Kebangsaan Malaysia
International Journal of Integrated Engineering, 2023
Drowsiness Detection for Safe Driving Using PERCLOS and YOLOv2 Method
Ngo Kah Lock, Weng Mun Ng, Norrabiatul Adawiyah Jusoh, Nazhatul Hafizah Kamarudin, Rizauddin Ramli, Zuliani Zulkoffli
Lecture Notes in Electrical Engineering, 2023
A robust adaptive-fuzzy-proportional-derivative controller for a rehabilitation lower limb exoskeleton
Norazam Aliman, Rizauddin Ramli, Sallehuddin Mohamed Haris, Mohammad Soleimani Amiri, Mien Van
Engineering Science and Technology an International Journal, 2022
Utilisation of Initialised Observation Scheme for Multi-Joint Robotic Arm in Lyapunov-Based Adaptive Control Strategy
Mohammad Soleimani Amiri, Rizauddin Ramli
Mathematics, 2022
Optimal Selection of Cutting Parameters for Surface Roughness in Milling Machining of AA6061-T6
Khashayar Danesh Narooei, Rizauddin Ramli
International Journal of Engineering Transactions B Applications, 2022
Adaptive Swarm Fuzzy Logic Controller of Multi-Joint Lower Limb Assistive Robot
Mohammad Soleimani Amiri, Rizauddin Ramli, Norazam Aliman
Machines, 2022
Pneumatic Bionic Hand with Rigid-Flexible Coupling Structure
Chang Chen, Jiteng Sun, Long Wang, Guojin Chen, Ming Xu, Jing Ni, Rizauddin Ramli, Shaohui Su, Changyong Chu
Materials, 2022
Offline tuning mechanism of joint angular controller for lower-limb exoskeleton with adaptive biogeographical-based optimization
MOHAMMAD SOLEIMANI AMIRI, RIZAUDDIN RAMLI
Turkish Journal of Electrical Engineering and Computer Sciences, 2022
Visual Navigation System for Autonomous Drone using Fiducial Marker Detection
Mohammad Soleimani Amiri, Rizauddin Ramli
International Journal of Advanced Computer Science and Applications, 2022
INVESTIGATION INTO MAGNETIC FLUX DENSITY EFFECT ON STATOR-ROTOR ARRANGEMENT OF NEODYMIUM MAGNET IN CYLINDRICAL CONFIGURATION
International Journal of Mechanical Engineering, 2022
Design of a Neural Network-based PID Controller for Four-DoF Lower Limb Exoskeleton
K. H. Al-Waeli, R. Ramli, S. M. Haris, Z. B. Zulkoffli, M. S. Amiri
Iet Conference Proceedings, 2022
Magnetic flux leakage (mfl) defect characterization using i-kaz statistical analysis for non-destructive test (ndt) application
Journal of Engineering Science and Technology, 2021
Development of evaluation method for geometrical tolerance value of positional characteristic in rotational shaft
Journal of Engineering Science and Technology, 2021
Intelligent trajectory tracking behavior of a multi-joint robotic arm via genetic–swarm optimization for the inverse kinematic solution
Mohammad Soleimani Amiri, Rizauddin Ramli
Sensors, 2021
Development of a 3D Printed Motion Mechanism for a 4D Respiratory Motion Phantom
Muhammad Akmal Ahmad, Seri Mastura Mustaza, Siti Salasiah Mokri, Nor Aniza Azmi, Rozilawati Ahmad, Rizauddin Ramli, Wan Nordiana Wan Abdul Rahman, Ashrani Aizzuddin Abd Rahni
Proceedings 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences Iecbes 2020, 2021
Conceptual design of mechatronic products using PDS-TRIZ
Norazam Aliman, Rizauddin Ramli, Sallehuddin Mohamed Haris
International Journal of Product Development, 2021
Hybrid Design of Model Reference Adaptive Controller and PID Controller for Lower Limb Exoskeleton Application
Norazam Aliman, Rizauddin Ramli, Sallehuddin Mohamed Haris
Lecture Notes in Mechanical Engineering, 2021
Offline ANN-PID Controller Tuning on a Multi-Joints Lower Limb Exoskeleton for Gait Rehabilitation
Karrar H. Al-Waeli, Rizauddin Ramli, Sallehuddin Mohamed Haris, Zuliani Binti Zulkoffli, Mohammad Soleimani Amiri
IEEE Access, 2021
Design of a 3D Printed Respiratory Motion Thoracic Phantom
A. A. Abd. Rahni, S. M. Mustaza, S. S. Mokri, N. A. Azmi, R. Ahmad, R. Ramli, W. N. Wan Abdul Rahman
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record NSS Mic 2021 and 28th International Symposium on Room Temperature Semiconductor Detectors Rtsd 2022, 2021
IoT-realtime fire detection and monitoring
Journal of Green Engineering, 2020
Adaptive particle swarm optimization of pid gain tuning for lower-limb human exoskeleton in virtual environment
Mohammad Soleimani Amiri, Rizauddin Ramli, Mohd Faisal Ibrahim, Dzuraidah Abd Wahab, Norazam Aliman
Mathematics, 2020
Effect of contour interval on minimization of tool path length in pocket milling process
Journal of Engineering Science and Technology, 2020
A review on recent development of minimum quantity lubrication for sustainable machining
N.N. Nor Hamran, J.A. Ghani, R. Ramli, C.H. Che Haron
Journal of Cleaner Production, 2020
Optimal parameter estimation for a DC motor using genetic algorithm
Mohammad Soleimani Amiri, Mohd Faisal Ibrahim, Rizauddin Ramli
International Journal of Power Electronics and Drive Systems, 2020
Genetically optimized parameter estimation of mathematical model for multi-joints hip–knee exoskeleton
Mohammad Soleimani Amiri, Rizauddin Ramli, Mohd Faisal Ibrahim
Robotics and Autonomous Systems, 2020
Comparison of geometrical characteristics against rotating shaft vibration
K. Jafri, Rizauddin Ramli, Abdul Hadi Azman
Jurnal Teknologi, 2020
Milling optimization based on genetic algorithm and conventional method
Haslina Abdullah
Journal of Advanced Research in Dynamical and Control Systems, 2020
Theory and development of magnetic flux leakage sensor for flaws detection: A review
Nor Afandi Sharif, Rizauddin Ramli, Abdullah Zawawi Mohamed, Mohd Zaki Nuawi
International Journal of Advances in Applied Sciences, 2019
Hybrid design of PID controller for four DoF lower limb exoskeleton
Mohammad Soleimani Amiri, Rizauddin Ramli, Mohd Faisal Ibrahim
Applied Mathematical Modelling, 2019
Initialized Model Reference Adaptive Control for Lower Limb Exoskeleton
Mohammad Soleimani Amiri, Rizauddin Ramli, Mohd Faisal Ibrahim
IEEE Access, 2019
Design of locomotive lower limb exoskeleton with Malaysian anthropometric characteristics
Norazam Aliman, Rizauddin Ramli, Sallehuddin Mohamed Haris
International Journal of Mechanical Engineering and Robotics Research, 2019
A stochastic approach in determining fire size and classification in fire risk analysis and monitoring
Rostam Salleh
International Journal of Advanced Trends in Computer Science and Engineering, 2019
An inventory model of supply chain disruption recovery with safety stock and carbon emission consideration
Noraida Azura Darom, Hawa Hishamuddin, Rizauddin Ramli, Zulkifli Mat Nopiah
Journal of Cleaner Production, 2018
An uncertain mathematical model to maximize profit of the defective goods supply chain by selecting appropriate suppliers
Salah Alden Ghasimi, Rizauddin Ramli, Nizaroyani Saibani, Khashayar Danesh Narooei
Journal of Intelligent Manufacturing, 2018
Modeling and co-simulation of actuator control for lower limb exoskeleton
Norazam Aliman, Rizauddin Ramli, Sallehuddin Mohamed Haris
2018 3rd International Conference on Control and Robotics Engineering Iccre 2018, 2018
Assessing technique applicability towards ideation taxonomy for engineering design concept
Journal of Mechanical Engineering, 2018
Tool path length optimisation of contour parallel milling based on modified ant colony optimisation
H. Abdullah, R . Ramli, D. A. Wahab
International Journal of Advanced Manufacturing Technology, 2017
Design and development of lower limb exoskeletons: A survey
Norazam Aliman, Rizauddin Ramli, Sallehuddin Mohamed Haris
Robotics and Autonomous Systems, 2017
Establishment of engineering metrics for upgradable design of brake caliper
Nurhasyimah Abd Aziz, Dzuraidah Abd Wahab, Rizauddin Ramli
Smart Innovation Systems and Technologies, 2017
Comparative study of non-productive tool path length for contour parallel machining
Journal of Mechanical Engineering, 2017
Customer focus practice among skills training institutions in Malaysia and the performance of Organisations
Pertanika Journal of Social Sciences and Humanities, 2016
Factors related to supply chain network members in SMEs
Abdulghadar Awheda, Mohd Nizam Ab Rahman, Rizauddin Ramli, Haslina Arshad
Journal of Manufacturing Technology Management, 2016
Modelling and optimisation of upgradability in the design of multiple life cycle products: A critical review
N.A. Aziz, D.A. Wahab, R. Ramli, C.H. Azhari
Journal of Cleaner Production, 2016
Evaluating design for upgradability at the conceptual design stage
Nurhasyimah Abd Aziz, Dzuraidah Abd Wahab, Rizauddin Ramli
Jurnal Teknologi, 2016
Tool path generation of contour parallel based on ant colony optimisation
Haslina Abdullah, Rizauddin Ramli, Dzuraidah Abd Wahab, Jaber Abu Qudeiri
Jurnal Teknologi, 2016
Minimizing machining airtime motion with an ant colony algorithm
Icic Express Letters, 2016
Quality improvement using Taguchi method in shot blasting process
H. Jamaluddin, J.A. Ghani, B. Md Deros, M.N. Ab Rahman, R. Ramli
Journal of Mechanical Engineering and Sciences, 2016
Generation of idea for product innovation in design course
Man in India, 2016
Angle Discrete Interval Selection Technique (ADIST) on optical flow vectors in estimating orientation of vision system
Icic Express Letters Part B Applications, 2015
Simulation approach of cutting tool movement using artificial intelligence method
Journal of Engineering Science and Technology, 2015
Multi-criteria decision making for reverse logistic contractor selection in e-waste recycling industry using polytomous rasch model
Muhammad Idham Sabtu, Nizaroyani Saibani, Rizauddin Ramli, Mohd Nizam Ab. Rahman
Jurnal Teknologi, 2015
A genetic algorithm for optimizing defective goods supply chain costs using JIT logistics and each-cycle lengths
Salah Alden Ghasimi, Rizauddin Ramli, Nizaroyani Saibani
Applied Mathematical Modelling, 2014
Application of artificial intelligence methods of tool path optimization in CNC machines: A review
Khashayar Danesh Narooei, Rizauddin Ramli
Research Journal of Applied Sciences Engineering and Technology, 2014
New approaches in tool path optimization of CNC machining: A review
Khashayar Danesh Narooei, Rizauddin Ramli
Applied Mechanics and Materials, 2014
Integrated Set Parts Supply system in a mixed-model assembly line
Suhartini Mohd Jainury, Rizauddin Ramli, Mohd Nizam Ab Rahman, Azhari Omar
Computers and Industrial Engineering, 2014
Impediments of collaborative relationships in automotive SMEs in Malaysia
Abdulghadar Awheda, Mohd Nizam Ab. Rahman, Rizauddin Ramli, Haslina Arshad
Applied Mechanics and Materials, 2014
Fuzzy risk analysis based on ochiai ranking index with hurwicz criterion for generalized trapezoidal fuzzy numbers
Nazirah Ramli, Daud Mohamad, Rizauddin Ramli
Applied Mathematical Sciences, 2013
Optical flow vectors thresholding in assisting heading direction estimation
Zairulazha Zainal, Rizauddin Ramli, Mohd Marzuki Mustafa
Applied Mechanics and Materials, 2013
Grey-level cooccurrence matrix performance evaluation for heading angle estimation of moveable vision system in static environment
Zairulazha Zainal, Rizauddin Ramli, Mohd Marzuki Mustafa
Journal of Sensors, 2013
Improvement of inventory control for defective goods supply chain by available time limitation of the production facilities
Salah Alden Ghasimi, Rizauddin Ramli, Nizaroyani Saibani
Research Journal of Applied Sciences Engineering and Technology, 2013
Improvement of inventory control for defective goods supply chain with imperfect quality of commodity components in uncertain state
Salah Alden Ghasimi, Rizauddin Ramli, Nizaroyani Saibani
Research Journal of Applied Sciences Engineering and Technology, 2013
Design concepts in set parts supply implementation
Suhartini Mohd Jainury, Rizauddin Ramli, Mohd Nizam Ab Rahman, Azhari Omar
Research Journal of Applied Sciences Engineering and Technology, 2013
Control System Development for One-Side Hip-Knee Joint of Reciprocating Gait Orthosis
Mohd Aizat Ahmad Tarmizi, Rizauddin Ramli, Mohd Faizol Abdullah, Phun Li Teng, Sallehuddin Mohamed Haris
Communications in Computer and Information Science, 2013
An implementation of set parts supply system in the malaysian automotive industry
Jurnal Teknologi Sciences and Engineering, 2012
Heading direction anticipation using visual feedback system
Zairulazha Zaina, Rizauddin Ramli, Mohd Marzuki Mustafa, Zairulazha Zainal
Proceedings 2012 IEEE Control and System Graduate Research Colloquium Icsgrc 2012, 2012
Reliability centered maintenance in schedule improvement of automotive assembly industry
Peter
American Journal of Applied Sciences, 2012
Car body and chassis development of UKM CARevo for Perodua Eco-Challenge 2011
Wan Mohd Wan Mahmood Faizal, Mohd Anas Mohd Sabri, Mohd Faizal Bin Mat Tahir, Azli Ariffin, Zulkifli R., Nordin Jamaludin, Mohd Haris Sallehuddin, Rizauddin Ramli, S. Abdullah, Shahrir Abdullah, A. Shamsudeen
Applied Mechanics and Materials, 2012
A comparison of lifted lead defect inspection system for surface mount technology
Journal of Scientific and Industrial Research, 2012
Genetically optimised disassembly sequence for automotive component reuse
T.F. Go, D.A. Wahab, M.N.Ab. Rahman, R. Ramli, A. Hussain
Expert Systems with Applications, 2012
Modeling of supply chain for defective goods using jit-logistics
Salah Alden Ghasimi, Rizauddin Ramli, Nizaroyani Saibani
Jurnal Teknologi Sciences and Engineering, 2012
Kerf width optimization in wire-cut electrical discharge machine by using taguchi method
Rizauddin Ramli, Roazam Ahmad, Jaharah Abd Ghani
Jurnal Teknologi Sciences and Engineering, 2012
Robotic teaching for Malaysian gifted enrichment program
Rizauddin Ramli, Melor Md Yunus, Noriah Mohd Ishak
Procedia Social and Behavioral Sciences, 2011
Project-based learning for academically talented students at a math and science camp
World Applied Sciences Journal, 2011
Disassemblability of end-of-life vehicle: A critical review of evaluation methods
T.F. Go, D.A. Wahab, M.N.Ab. Rahman, R. Ramli, C.H. Azhari
Journal of Cleaner Production, 2011
Nurturing innovative culture among mentors and school students through "microcontroller school mentoring project"
Nasharuddin Zainal, Khairul Anuar Ishak, Rizauddin Ramli, Hafizah Husain, Mohd Marzuki Mustafa
Procedia Social and Behavioral Sciences, 2011
Systematic infusion of creativity in engineering design courses
Juridah Johari, Dzuraidah Abd Wahab, Jaafar Sahari, Shahrum Abdullah, Rizauddin Ramli, Ruhizan Mohd Yassin, Norhamidi Muhamad
Procedia Social and Behavioral Sciences, 2011
Online tool wear monitoring using portable digital assistant (PDA)
International Journal of Physical Sciences, 2011
Application of back propagation diagnostic model for fruit maturity classification: Case Jatropha curcas
Australian Journal of Basic and Applied Sciences, 2011
Detection of cutting tool wear using statistical analysis and regression model
Jaharah A. Ghani, Muhammad Rizal, Mohd Zaki Nuawi, Che Hassan Che Haron, Rizauddin Ramli, Sio-Iong Ao, Hideki Katagir, Li Xu, Alan Hoi-Shou Chan
Aip Conference Proceedings, 2010
Emotional intelligence of Malaysian teachers: A comparative study on teachers in daily and residential schools
Noriah Mohd. Ishak, I. Piet Iskandar, Ridzauddin Ramli
Procedia Social and Behavioral Sciences, 2010
Modeling of correlation between heat treatment and mechanical properties of Ti-6Al-4V alloy using feed forward back propagation neural network
Junaidi Syarif, Yan Pratama Detak, Rizauddin Ramli
ISIJ International, 2010
Experience of robotic teaching for malaysian gifted enrichment program at PERMATApintar
International Conference on Education and Educational Technologies Proceedings, 2010
Evaluation of ICT usage for general or english learning purposes
International Conference on Education and Educational Technologies Proceedings, 2010
Statistical analysis for detection cutting tool wear based on regression model
Proceedings of the International Multiconference of Engineers and Computer Scientists 2010 Imecs 2010, 2010
Disassembly for reuse: Implementation in the Malaysian automotive industry
Australian Journal of Basic and Applied Sciences, 2010
Prediction of mechanical properties of Ti-6Al-4V using neural network
Yan Pratama Detak, Junaidi Syarif, R. Ramli
Advanced Materials Research, 2010
Real-time control of parts input in flexible production systems by the pattern classification and analogy process
Rizauddin Ramli, Hidehiko Yamamoto
International Journal of Product Development, 2010
A back propagation neural networks for grading Jatropha curcas fruits maturity
Effendi
American Journal of Applied Sciences, 2010
A design framework for end-of-life vehicles recovery: Optimization of disassembly sequence using genetic algorithms
T.F. Go, D.A. Wahab, M.N. Ab. Rahman, R. Ramli
American Journal of Environmental Sciences, 2010
Design approach for jig in computer assisted total knee replacement surgery
Abu Bakar Sulong, Muhammad Ilman Hakimi Chua Abdullah, Mohd Fazuri Abdullah, San Wei Koon, Nor Hamdan Nor Yahya, Rizauddin Ramli
Key Engineering Materials, 2010
Pattern recognition system of jatropha curcas fruits using back propagation
Z. Effendi, R. Ramli, J.A. Ghani, M. N. A. Rahman
Icsipa09 2009 IEEE International Conference on Signal and Image Processing Applications Conference Proceedings, 2009
Tool path of lathe machine in flexible transfer lines by using genetic algorithms
Rizauddin Ramli, Hidehiko Yamamoto, Jaber Abu Qudeiri
International Journal of Production Economics, 2009
Hypothetical reasoning approach for Automated Guided Vehicle action decision in Autonomous Decentralised Flexible Manufacturing Systems
Rizauddin Ramli, Hidehiko Yamamoto, Jaber Abu Qudeiri
International Journal of Intelligent Systems Technologies and Applications, 2009
Buffer size decision for Flexible Transfer Line with Rework Paths using Genetic Algorithm
Jaber Abu Qudeiri, Hidehiko Yamamoto, Rizauddin Ramli
International Journal of Intelligent Systems Technologies and Applications, 2009
Development of Jatropha Curcas color grading system for ripeness evaluation
European Journal of Scientific Research, 2009
Real-time AGV action decision in AD-FMS by hypothetical reasoning
European Journal of Scientific Research, 2009
Electrical conductivity behaviour of chemical functionalized MWCNTs epoxy nanocomposites
European Journal of Scientific Research, 2009
Production layout design system by GA with one by one encoding method
Proceedings of the 13th International Symposium on Artificial Life and Robotics Arob 13th 08, 2008
Genetic algorithm for buffer size and work station capacity in serial-parallel production lines
Jaber Abu Qudeiri, Hidehiko Yamamoto, Rizauddin Ramli, Anouar Jamali
Artificial Life and Robotics, 2008
Production layout design system by GA with one by one encoding method
H. Yamamoto, J. Abu Qudeiri, T. Yamada, R. Rizauddin
Artificial Life and Robotics, 2008
Product redesign for ease of maintenance: A case study
International Journal of Mechanical and Materials Engineering, 2008
Tool path generation technique of NC lathe machines in FTL development by GA
International Journal of Innovative Computing Information and Control, 2008
Real-time AGV actions control by dialogue to realize autonomous decentralized FMS
International Journal of Innovative Computing Information and Control, 2008
Genetic algorithms for buffer size and work stations capacity in serial-parallel production lines
Proceedings of the 12th International Symposium on Artificial Life and Robotis Arob 12th 07, 2007
Real-time control of decentralised autonomous flexible manufacturing systems by using memory and oblivion
Hidehiko Yamamoto, Rizauddin Bin Ramli
International Journal of Intelligent Information and Database Systems, 2007
Decentralized adaptive coordinated control of multiple robot arms handling one object
Haruhisa KAWASAKI, Rizauddin Bin RAMLI, Satoshi ITO
JSME International Journal Series C Mechanical Systems Machine Elements and Manufacturing, 2006
Real time parts control of FTL by finding IF-THEN rules
Rizauddin Ramli, Hidehiko Yamamoto, Mohamed Jamali
Proceedings Icsssm 06 2006 International Conference on Service Systems and Service Management, 2006
Decentralized Adaptive Coordinated Control of Multiple Robot Arms for Constrained Tasks
Haruhisa Kawasaki, Faculty of Engineering, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan, Rizauddin Bin Ramli, Satoshi Ueki
Journal of Robotics and Mechatronics, 2006
Adaptive decentralized coordinated control of multiple robot arms
Haruhisa Kawasaki, Satoshi Ito, Rizauddin Bin Ramli
IFAC Proceedings Volumes IFAC Papersonline, 2003

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