Samsul Noor

• PhD (Sheffield UK)
• Professor (Associate) at Universiti Putra Malaysia

Most of the developed and developing countries around the world are delving into the implementation of demand response (DR) strategies in demand side management (DSM) to meet the needs of their own power industry and customers. Some major segments of demand response strategies are, customer segmentation, demand/price forecasting to design customer-...

Spray drying techniques are one of the methods to preserve and extend the shelf-life of coconut milk. The objective of this research was to create a particle swarm optimization-enhanced artificial neural network (PSO-ANN) that could predict the coconut milk spray drying process. The parameters for PSO tuning were selected as the number of particles...

Leptospirosis outbreaks in various parts of the world have been linked to changes in the weather. Furthermore, the effects have been shown to occur at different lags of up to 10 months, affecting the performance of simulation models that predict leptospirosis occurrence. In Malaysia, the link between different weather parameters, at different time...

p>There are many challenging issues with research reactor, such as time variation and uncertainty. Since its first criticality in 1982, the biggest changes in TRIGA PUSPATI Reactor system is the replacement of instrumentation and control console system from analogue to digital in 2013. Apart from providing methods of controlling the power reactor v...

Flood is a major disaster that happens around the world. It has caused many casualties and massive destruction of property. Estimating the chance of a flood occurring depends on several factors, such as rainfall, the structure and the flow rate of the river. This research used the neural network autoregressive exogenous input (NNARX) model to predi...

Biomass concentration is an important indicator of production rate in polyhydroxyalkanoates (PHA) fermentation process. In current practice, measurement of biomass concentration is done off-line by laboratory analysis that is unsuitable for online process monitoring and control. Soft-sensor is often used as an alternative that provides an estimate...

In this chapter, an intelligent algorithmic tuning technique suitable for real-time system tuning based on hill climbing optimization algorithm and model reference adaptive control (MRAC) system technique is proposed. Although many adaptive control tuning methodologies depend partially or completely on online plant system identification, the propos...

In this study, the development of an optimized topology neural network model for spray drying coconut milk is investigated using K-fold cross validation technique. Performance between standalone ANN and ANN with K-fold cross validation is compared, as K-fold cross validation method is integrated into neural network to overcome the limitations of re...

In a fermentation process, dissolved oxygen is the one of the key process variables that needs to be controlled because of the effect they have on the product quality. In a penicillin production, dissolved oxygen concentration influenced biomass concentration. In this paper, multilayer perceptron neural network (MLP) and Radial Basis Function (RBF)...

This study determines the relationship between two types of travel distances on total evacuation times among secondary students at school building. Direct measurement was done on both flat and stair travel distances together with the actual evacuation time for every student. Multiple Linear Regression (MLR) was used to statistically analyse the rel...

In a polyhydroxyalkanoates (PHA) production, optimized fermentation process helps in reducing overall cost by increasing productivity. Dissolved oxygen (DO) concentration influences growth rate which in turn affect the PHA production rate. Data driven technique using artificial neural network (ANN) is beneficial as process data based on real condit...

Wavelet neural network is an alternative to artificial neural network in empirical modeling of industrial processes due to efficient initialization of network parameters that reduces training time. In this paper, particle swarm optimization methods are used for initialization of dilation and translational parameters in two wavelet neural network mo...

Surface electromyography (SEMG) signals are widely used in fatigue identification. Fatigue after high intensity exercise and sports training needs to be balanced with rest to allow biochemical reactions during sports activity to return to a normal level. Inadequate rest leads to prolonged fatigue (PF) conditions such as musculoskeletal disorder, un...

Surface electromyography is a non-invasive electrical potential from human muscle. The signals are easily disturbed by many interference and noise. Lower frequency range of surface electromyography needs to be eliminated due to motion artefacts, instability and unpredictable fluctuation. There is no standard range of corner frequency and it highly...

Purpose The purpose of this paper is to design a numerical model to calculate the individual evacuation time among secondary students based on Knowledge, Attitude and Practice (KAP), human characteristics and travel distances. Design/methodology/approach Validated KAP questionnaires were distributed among 290 respondents. The KAP level was obtai...

The most common energy source is the fossil fuel (such as crude oil, natural gas, and coal). The fossil fuel generally produces move the motorcar or utilize the steam to impulse the turbine to generate electricity. However, the burning of fossil fuel will cause the air pollution and the global greenhouse effect. In addition, due to the high consump...

Recently, exploitation of the renewable energy resources has been underlined in high-rise buildings, the contribution of building in energy conservation has witnessed increased advances in the recent years in both residential and commercial sectors. The increasing demand for building services and comfort levels as well as due to growth in populatio...

As a result of increasing machines capabilities in modern manufacturing, machines run continuously for hours. Therefore, early fault detection is required to reduce the maintenance expenses and obviate high cost and unscheduled downtimes. Fault diagnosis systems that provide features extraction and patterns classification of the fault are able to d...

Gravitation energy harvesting of climbed down objects is a promise to harvest unused potential energy from a host building or structure. Similarly, a dynamically dropper mechanism is proved to be a simple and effective electric energy generator, with many practical implementations in power, civil, and mechanical engineering. This research analyzes...

This paper presents discrete time implementation of a high gain observer (HGO) and extended term to estimate the state velocity and acceleration from the position measured by a low-cost sensor installed on-board the unmanned aerial vehicle (UAV). Owing to the low-cost sensor, the signal produced from fused IR–OS is noisy and therefore, additional f...

Sports training is very important to athletes in improving and maintaining their performances. It commonly involves high intensity exercise and requires longer time for fatigue to recover, compares to normal activity. During training, adequate rest is essential to allow recuperation and build body strength. Unfortunately, inadequate rest exposes th...

Nonlinear Filtered-X LMS (NLFXLMS) is an indirect adaptive control algorithm for nonlinear active noise control (NANC) system. The algorithm has been developed for both Hammerstein and Wiener secondary paths where the nonlinearity is represented by scaled error function (SEF) and tangential hyperbolic function (THF). NLFXLMS algorithm is limited in...

This work proposes an output feedback controller for stabilization of the quadrotor underactuated system in the presence of time varying disturbances and model uncertainties. The proposed control is an improvement to the sliding mode control (SMC). An extended high-gain observer (EHGO) when combined with sliding mode control (SMC) able to give feas...

This work proposes an output feedback controller for stabilization of the quadrotor underactuated system in the presence of time varying disturbances and model uncertainties. The proposed control is an improvement to the sliding mode control (SMC). An extended high-gain observer (EHGO) when combined with sliding mode control (SMC) able to give feas...

Early detection of irregularity in electrical machines is important because of their diversity of use in different fields. A proper fault detection scheme helps to stop the propagation of failure or limits its escalation to severe degrees, and thus it prevents unscheduled downtimes that cause loss of production and financial income. Among different...

Automatic control of the flotation process is a difficult task due to the large number of variables involved, significant disturbances, and the process’s complex nature. Previous research has established that flotation performance is reflected in the structure of the froth’s surface. This paper describes the application of machine vision and fuzzy...

A single hidden layer feedforward neural network (SLFN) with online sequential extreme learning machine (OSELM) algorithm has been introduced and applied in many regression problems successfully. However, using SLFN with OSELM as black-box for nonlinear system identification may lead to building models for the identified plant with inconsistency re...

This work proposes a method to enhance the green power demands through providing an energy source which utilizes the kinetic green energy of the vehicles in multi-level car parking building, where vehicles are already climbing when the driver looking for space to park, and then climb down to go out the building with a kinetic energy due to ground g...

Electromyography (EMG) is one of the indirect tools in indexing fatigue. Fatigue can be detected when there are changes on amplitude and frequency. However, various outcomes from literature make researchers conclude that EMG is not a reliable tool to measure fatigue. This paper investigates EMG behavior of biceps femoris in median frequency and mea...

In dynamic systems, it is very difficult to have models with good accuracy that are sufficient to predict the plant behavior in a way that an acceptably controlled performance can be produced. Sometimes even if mathematical models are sufficiently accurate in a way that a good controlled performance can be obtained, long term operation (or even sho...

A fuzzy logic based controller (FLC) was proposed for position control of a parabolic dish antenna system with the major aim of eradicating the effect backlash disturbance which may be present in the system. The disturbance is nonlinear and is capable of generating steady state positional errors. Simulation results obtained using SIMULINK/MATLAB 20...

Post-harvest techniques play an important role in modern agricultural industry. One of these essential post-harvest techniques is the grain drying process. However, this process is characterized by its high complexity and nonlinearity due to the effects of several drying parameters. Therefore, conventional modelling approaches cannot produce accura...

In this paper, a nonlinear autoregressive with exogenous input (NARX) network was utilized to model a conveyor-belt grain dryer using a set of input-output data which was collected during an experiment to dry paddy grains. The resulting NARX model has achieved a remarkable modelling accuracy compared to other previously reported modelling technique...

Each nerves and muscles of human body will generate potentials, voltages, and electrical field strength and known as bio signals such as electrocardiograph (ECG), electromyography (EMG), electroencephalogram (EEG), and electrooculogram (EOG). The signals may be acquired through non-invasive surface Ag/Ag Cl applications although the generated signa...

Electromyography is one of the tools to measure fatigue indirectly. Widely research on electromyography and fatigue have been done include onset of fatigue and transition of fatigue during physical activity. The investigation not focusing on the muscle only, but other physiological indicator also involved to see the correlation. However, the inform...

This paper presents an improved robust Proportional Derivative controller for a 3-Degree-of-Freedom (3-DOF) bench-top helicopter by using adaptive methodology. Bench-top helicopter is a laboratory scale helicopter used for experimental purposes which is widely used in teaching laboratory and research. Proportional Derivative controller has been dev...

Fault diagnosis of induction machine can be achieved through wavelet packet analysis to acquire information about its stability and mutability. This paper presents an experimental evaluation of applying wavelet packet transform based on the sideband components, (1 ± 2ks)fs, for broken rotor fault detection in induction machines. The wavelet-based m...

Electromyography signals is one of the most important studies of muscle function used in wide area including kinesiology, rehabilitation, and occupational and sports medicine. The measurement of electromyogram always requires multichannel as every movement will involve a group of muscles. Commercial single or multichannel surface electromyogram dat...

Fatigue detection through electromyography analysis has been in use since 1912 when it was discovered by H. Piper. Until now, there has been much research on muscle fatigue through electromyography, both invasively and non-invasively. There are evolutions of the electromyography based approach to detect fatigue in various aspects including methodol...

In this paper a fuzzy logic controller was developed for a parabolic dish antenna system. Friction is one of the disturbances associated such systems and was represented with dead zone in the Simulink block. The effect of the disturbance due to the friction was investigated by simulation using Simulink/MATLAB 2012a software. The results obtained fr...

In this paper, the PID and fuzzy logic controllers are designed to control the pitch and yaw angles of a twin rotor MIMO system (TRMS) in simulation-based platform. Two controllers were used in each case, one for pitch angle and one for yaw angle. The twin rotor MIMO system designed as decoupling system in simplification. The tuned controllers gave...

It is well known that the operating conditions of flotation process are reflected in froth appearance. Despite recent advances in image analysis and several algorithms developed for froth flotation, there is not still a comprehensive algorithm to be able to accurately determine the bubble features from actual froth images. Being able to accurately...

It is well known that froth visual features reflect the operating conditions of the flotation process, so that being able to accurately obtain the froth properties is the most significant criteria to optimize and control this process. Froth segmentation is a useful procedure that can determine the bubble size distribution. Several algorithms have b...

Fouling is an unwanted deposit on a heat exchanger surface which may cause inefficiency to the heat exchanger's performance in maintaining the outlet product temperature during pasteurization. In order to deal with this problem, fouling must be handled by an efficient control strategy. In this study, an empirical model of fouling was successfully d...

Recording of biopotential signals is uneasy as interference and noise can come from the preparation of the subject, environment setting and other biological signal. The circuit design in acquisition system must good and meets specification as is not distort original signal and safe to patient. Classic design of biosignal acquisition system usually...

The purpose of this paper is to explore the ability of the system identification technique in detecting a specific gas at a constant concentration level by a single sensor. Metal oxide semiconductor (MOS) gas sensor is used due to its wide range of applicability in gas monitoring systems. Using the Batch computer method, 115 outputs were recorded w...

The paper aims to introduce a method for the analytical formulation of the integral square error (ISE). In this manner, the aim of the research is to create a parametric solution of the ISE for linear continuous feedback control systems while the closed-loop system is stable and the difference between reference and output, or error, is strictly pro...

Between the different robust H-infinity methods to design the controller for FACTS, loop shaping is known to be one of the effective and feasible methods. This research presents an investigation on H-infinity loop shaping procedure through normalized coprime factorization (NCF) for STATCOM installed at terminals of a large induction motor. The dyna...

Wavelet network (WN) has been introduced in many applications of dynamic systems modeling with different learning algorithms. In this paper an online sequential extreme learning machine (OSELM) algorithm adopted as training procedure for wavelet network based on serial-parallel nonlinear autoregressive exogenous (NARX) model. The proposed model use...

Conference code: 93052, Export Date: 4 February 2013, Source: Scopus, Art. No.: 6271341, doi: 10.1109/ICCCE.2012.6271341, Language of Original Document: English, Correspondence Address: Mansor, H.; Department of Electrical and Computer Engineering, Kulliyyah of Engineering, International Islamic University Malaysia (IIUM), PO Box 10, 50728 Kuala Lu...

Effective operation of pasteurization process involves optimum control of pasteurized product temperature. However, the presence of disturbance directly change the pasteurized product temperature and consequently, the product may not be pasteurized properly and contains unwanted microorganisms. In this study, several proportional-integral-derivativ...

Export Date: 4 February 2013, Source: Scopus, CODEN: TICOD, doi: 10.1177/0142331210397084, Language of Original Document: English, Correspondence Address: Ali, H.I.; Department of Electrical and Electronic Engineering, Faculty of Engineering, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia; email: hazemcontrol2001@yahoo.com, References...

Conference code: 89401, Cited By (since 1996): 1, Export Date: 4 February 2013, Source: Scopus, Art. No.: 6169738, doi: 10.1109/ISMS.2012.129, Language of Original Document: English, Correspondence Address: Zaeri, A.H.; Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia; email: amza...

MEMS optical switches are used in optical networks in order to provide the desired bandwidth. This paper presents the results of an optimised Higher Order Sliding Mode (HOSM) position controller design. The algorithm requires time derivatives of the sliding variable. A Robust Exact Differentiator is used to estimate time derivatives of the sliding...

Recently, process control has been applied extensively in many food processes include pasteurization process. The purpose is to control and maintain the product temperature at desired value. In order to be able to control the process properly, the model of the process needs to be obtained. This research aims to obtain the empirical model and to det...

This paper presents a development of QFT-based self-tuning controller for a conveyor belt type grain dryer plant. Grain drying process is complex due to long time delay, presence of disturbances and plant uncertainty. QFT technique potentially has excellent solution towards this problem due to its well known capability to achieve robust performance...

This paper presents a simplified adaptive neuro-fuzzy inference system (ANFIS) controller to control nonlinear multi-input multi-output (MIMO) systems. This controller uses only few rules to provide the control actions, instead of the full combination of all possible rules. Consequently, the proposed controller possesses several advantages over the...

Quantitative Feedback Theory (QFT) is a well known robust controller that deals with plant uncertainty. QFT has been applied to many industrial applications, however it never been applied to any types of grain dryer plant. Grain dryer plant prone to parameter uncertainty and needs a robust controller in order to maintain a good quality of product o...

Cited By (since 1996): 1, Export Date: 4 February 2013, Source: Scopus, CODEN: PMJEE, doi: 10.1177/2041304110394559, Language of Original Document: English, Correspondence Address: Lutfy, O.F.; Electrical and Electronic Engineering Department, University Putra Malaysia, Selangor, Malaysia; email: omarfa77@yahoo.com, References: Dufour, P., Control...

Conference code: 85983, Export Date: 4 February 2013, Source: Scopus, Art. No.: 5953905, doi: 10.1109/INECCE.2011.5953905, Language of Original Document: English, Correspondence Address: Lutfy, O.F.; Electrical and Electronic Engineering Dept., Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia; email: omarfa77@yah...

In this paper a new method based on a particle swarm optimization (PSO) algorithm for tuning the weighing functions parameters to design an H ∞ controller is presented. The PSO algorithm is used to minimize the infinity norm of the transfer function of the nominal closed loop system to obtain the optimal parameters of the weighting functions. This...

A multiwavelength laser comb using 2.49 m Bismuth-oxide erbium-doped fiber (Bi-EDF) with different lengths of large effective area fiber (LEAF) in a ring cavity configuration is realized. The Bi-EDF is used as the linear gain medium and LEAF is used as the non-linear gain medium for stimulated Brillouin scattering. Out of the four different lengths...

Cited By (since 1996): 1, Export Date: 4 February 2013, Source: Scopus, Language of Original Document: English, Correspondence Address: Ali, H. I.; Department of Electrical and Electronic Engineering, Faculty of Engineering, University Putra MalaysiaMalaysia; email: hazemcontrol2001@yahoo.com, References: Ali, H.I., Mohd Noor, S.B., Bashi, S.M., Ma...

Cited By (since 1996): 3, Export Date: 4 February 2013, Source: Scopus, Language of Original Document: English, Correspondence Address: Nakhaeinia, D.; Faculty of Engineering, University Putra Malaysia, 43300 UPM, Serdang, Selangor, Malaysia; email: danial.nn@gmail.com, References: Arkin, R.C., (1987) Towards Cosmopolitan Robots: Intelligent Naviga...

The detection performance of maritime radars is restricted by the unwanted sea echo or clutter. Although the number of these target-like data is small, they may cause false alarm and perturb the target detection. K-distribution is known as the best fit probability density function for the radar sea clutter. This paper proposes a novel approach to e...

This paper proposes a simplified ANFIS (Adaptive Neuro-Fuzzy Inference System) structure acting as a PID-like feedback controller to control nonlinear systems. Only few rules have been utilized in the rule base of this controller to provide the control actions, instead of the full combination of all possible rules. The proposed controller has sever...

Conference code: 83579, Cited By (since 1996): 1, Export Date: 4 February 2013, Source: Scopus, Art. No.: 5674469, doi: 10.1109/IEEM.2010.5674469, Language of Original Document: English, Correspondence Address: Hermansson, A. W.; School of Engineering, SEGi University College, Petaling Jaya, Malaysia; email: aymanwilliam@segi.edu.my, References: At...

This paper presents a PID-like adaptive neuro-fuzzy inference system (ANFIS) controller that can be trained by the global-best harmony search (GHS) technique to control nonlinear systems. Instead of the hybrid learning methods that are widely used in the literature to train the ANFIS structure, the GHS technique alone is used to train the ANFIS as...

Measurement of the fetal head biparietal diameter (BPD) and head circumference (HC) is crucial for estimation of fetal age. Due to the noisy nature of ultrasound images and variation in image acquisition and measurement techniques, manual measurements of these parameters are subject to inter- and intraobserver variability. In this study, we present...

Quantitative Feedback Theory (QFT) technique is a robust control design based on frequency domain methodology. It is useful for practical design of feedback system in ensuring plant's stability by reducing the sensitivity to parameter variation and attenuate the effect of disturbances. Parameter variation or physical changes to the plant is taken i...

Sliding mode control (SMC) is a nonlinear controller that is used to achieve desired performance in the presence of unstructured uncertainty as a result of carelessness of parameter specification of the system. The main aim for sliding control, or also called Variable Structure Control, is to control the nonlinear plant by introducing a sliding sur...

The feature extraction techniques are discussed in this article. The algorithms and methods developed are robust and advanced enough to he used in combination with a machine vision algorithm and automation system. The subject under study is oil palm in vitro shoot images. The potential features ext racted from the images could be used as a vision s...