Zuraidi Saad

Zuraidi Saad
Universiti Teknologi MARA | UiTM · Faculty of Electrical Engineering

Doctor of Philosophy

About

37
Publications
19,089
Reads
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264
Citations
Citations since 2016
10 Research Items
151 Citations
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Introduction
Zuraidi Saad currently works at the Faculty of Electrical Engineering, Universiti Teknologi MARA. Zuraidi does research in Instrumentation Engineering, Control Systems Engineering and Automotive Systems Engineering. Their current project is 'CAR SPEED AND FUEL BALANCED FORECASTING SYSTEM USING ARTIFICIAL NEURAL NETWORK'.
Additional affiliations
July 2005 - present
Universiti Teknologi Mara (Pulau Pinang)
Position
  • Professor (Associate)
March 2001 - June 2005
Universiti Teknologi MARA
Position
  • Lecturer
March 1999 - August 1999
Carl Zeiss AG
Position
  • Practical Student
Education
January 2011 - September 2021
Universiti Malaysia Perlis
Field of study
  • Mechatronic Engineering
June 2006 - June 2008
Universiti Sains Malaysia
Field of study
  • Electronic System Design Engineering
June 1996 - December 2000
Aalen University of Applied Science (AALEN UAS)
Field of study
  • Mechatronic Engineering

Publications

Publications (37)
Conference Paper
Full-text available
The technique of momentum and learning rate formation for children pedagogy was adopted to improve the performance of learning algorithm in training the hybrid multilayered perceptron network (HMLP) using modified recursive prediction error (MRPE) algorithm. An Adaptive Learning Recursive Prediction Error Algorithm (ALRPE) is proposed as a second v...
Article
Full-text available
The study proposed a model called trend data hybrid multilayered perceptron network (TD-HMLP) coupled with a modified recursive prediction error (MRPE) training algorithm as a nonlinear modeling. An on-line model was used to forecast speed, revolution and fuel balanced in a Proton Gen2 car tank. The car measured the injected fuel from fuel injectio...
Article
Full-text available
The study explores the capability of hybrid multilayered perceptron network (HMLP) trained using modified recursive prediction error (MRPE) algorithm as a nonlinear model for a speed of a car. This model is used for speed forecasting for a car in order to avoid speed limit on the road traffic. The injected fuel was measured from the experimented ca...
Article
Full-text available
The purpose of this research is to invent a better method and system, which could eliminate the influencing variables caused by conventional method. All the variables will be constant except the kinds of additives which will be the main theme for comparison, through the retrieval of the signal such as speedometer, odometer, engine revolution and th...
Article
Full-text available
This paper proposed a project entitled Smart Auto gate using Optical Character Recognition (OCR) and color detection. It consists of two sections that used an image processing technique which are License Plate Recognition (LPR) and Color Detection. Image processing has been widely used in various types of field. LPR is one of the systems which used...
Article
Full-text available
White root disease is one of the most serious diseases in rubber plantation in Malaysia that originally infects on the root surface of the rubber tree. So, prevention is important compared to treatment. The classification system proposed in the research had the ability of detecting the disease by classifying between healthy rubber trees and white r...
Conference Paper
Full-text available
Consistent in recitation of the Quran is very important to become a perfect Muslim. The recitation has to be performed using correct rule of Tajweed in order to avoid recitation error that may leads to the mistranslation of the recited word or sentence. As the technology grown faster and so the number of Muslims, a variety of digital forms of Quran...
Chapter
Full-text available
Accent is a major cause of variability in speaker-independent automatic speech recognition (ASR) systems. Under certain circumstances, this behavioral factor introduces unsatisfactory performance of the systems. Thus, accent analyzer in the preceding stage of the ASR system becomes a promising solution. This paper proposes a multi-resolution approa...
Conference Paper
Full-text available
Conventional genetic algorithm (GA) has several drawbacks such as premature convergence and incapable of fine tuning around potential region. Thus, new enhanced GA that focuses on new search, crossover and elitism strategy is proposed in this study. It involves solution enhancement phase by performing search among high quality chromosomes via new c...
Conference Paper
Full-text available
This paper compares the model performance for car speed forecasting. The experimented car measures the revolution, injected fuel and current fuel consumption. Nonlinear Autoregressive with an Exogenous Input Model (NARX) and recursive least square (RLS) learning algorithm were selected as a black-box model for forecasting purposes. The input variab...
Article
Full-text available
This paper introduces an Adaptive Fuzzy Logic Control (AFLC) for dynamic system. The parameters to be adjusted are the universe of discourse (UOD). The modification also performed by the adaptation mechanism shifts the membership function (MF) for both input and output. According to a continuous measurement, the parameters of the controller are sel...
Article
Full-text available
This paper compares the performance of some feature subset selection in injected fuel flow forecasting. Injected fuel flow leads to an accurate measurement of car's fuel consumption. The fuel consumption of a car depends on many factors like road, weather, and driver behaviour that are rigid for a car manufacturer to influence. Speed, stepper speed...
Article
Full-text available
The aim of this research is to develop an intelligent automated online forecasting of a car fuel consumption using neural network and classified it into classes of driving style. A new online monitoring tool was developed to acquire and analyze data collected from a car for the purpose of fuel consumption modelling and forecasting. The data was tra...
Article
Full-text available
This paper presents the design and development of an online monitoring system that collects data over time or distance with a built-in instrument or sensors. Currently, an online data collection system (Vehicle Data logger) from general vehicle is not available in the market. Only the vehicles' manufacturers have the tool to access the engine ECU t...
Article
Full-text available
This paper presents the performances of Proportional (P), proportional-integral (PI) and proportional- integral-derivative (PID) modes controller to control an automatic water level control system. This project is developed to verify the performance of water level control system using PID control modes. The measurements of water level control syste...
Conference Paper
Full-text available
This paper introduce the adaptive kalman filter to modeling dynamic background for background subtraction. Background subtraction is a method to identify object and famous used in moving object segmentation. In this paper we also investigate a comparison study on Gaussian subtraction method, frame differencing method and approximate median method....
Conference Paper
Full-text available
This paper describes a method using image processing and genetic algorithm-neural network (GA-NN) for automated Mycobacterium tuberculosis detection in tissues. The proposed method can be used to assist pathologists in tuberculosis (TB) diagnosis from tissue sections and replace the conventional manual screening process, which is time-consuming and...
Article
Full-text available
The principle of this paper is to describe grounding monitoring system and installation for Traction Power Sub-Station (TPSS) and power distribution boards in both TPSS and the Light Rapid Transit (LRT). The grounding system will be analyzed and installed such that it will prevent the build-up of hazardous potential differences during short-circuit...
Conference Paper
Full-text available
This paper presents the investigation on a system model for the stabilisation of a Magnetic Levitation System (Maglev's). Furthermore, the investigation on Proportional Integrated Derivative Controller (PID) also reported here. In this paper shows to design both PID and Fuzzy Logic Control (FLC) based on the system model. Maglev's give the contribu...
Article
Full-text available
This paper compared various MLP activation functions for classification problems. The most well-known (Artificial Neural Network) ANN architecture is the Multilayer Perceptron (MLP) network which is widely used for solving problems related to data classifications. Selection of the activation functions in the MLP network plays an essential role on t...
Conference Paper
Full-text available
In this paper, an automatic k-mean clustering based on C-Y colour model was proposed. First, initial filter is used to remove the tissues images which remain blue after counterstaining process. Secondly, k-mean clustering using saturation component of C-Y colour model is used to segment the TB bacilli from its undesirable background which also rema...
Conference Paper
Full-text available
This paper presents the applicability of Artificial Neural Network (ANN) for weather forecasting using a Photovoltaic system. The main objective is to predict daily weather conditions based on various measured parameters gained from the PV system. In this work, Multiple Multilayer Perceptron (MMLP) network with majority voting technique was used an...
Article
Full-text available
Protection in power system is very important to ensure the systems are in a good condition without any failure. It is necessary that the protection system can operate at the shortest time to clear the fault as soon as possible. Overcurrent relay protection is depending on their time-current characteristic curve. In this particular characteristic cu...
Article
Full-text available
Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in computer-assisted tuberculosis bacilli detection. In this paper, an automatic colour image segmentation using moving k-mean clustering was proposed. First, initial filter is used to remove the tissues images which remain blue after counterstaining process...
Article
Full-text available
Monitoring car performance in terms of fuel consumption, velocity and other important parameters is crucial in order to ascertain whether a car is operating optimally. The purpose of this research is to design and develop a new data logger to monitor general car performance. Data has been collected via a wireless device attached to the car, which t...
Conference Paper
Full-text available
Ziehl-Neelsen staining method is a common technique used to diagnose tuberculosis infection. Clinical samples such as sputum or tissue are stained using Ziehl-Neelsen procedure and analysed manually by microbiologist for detecting TB bacilli. However, the screening process is labour intensive and time consuming. Image enhancement tools can be used...
Conference Paper
Full-text available
This paper addresses a performance analysis of two well known moments, namely Hu's moments and Zernike's moments for 3D object recognition. Hu's moments and Zernike's moments are the non-orthogonal and orthogonal moments respectively, which are commonly used as shape feature for 2D object or pattern recognition. The current study proved that with s...
Article
Full-text available
The purpose of this research is to develop a system that used to recognize image of vehicle and classified it into their classes using image processing method and artificial neural network. In the research, all the selected images are required to go through image processing technique to obtained desired data. Images are converted into data using si...

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