Muhammad Khusairi Osman

Muhammad Khusairi Osman
Universiti Teknologi MARA | UiTM · Faculty of Electrical Engineering

About

98
Publications
20,849
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844
Citations
Citations since 2016
53 Research Items
608 Citations
2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120

Publications

Publications (98)
Conference Paper
In Malaysia, the government has consistently allocated a significant amount of budget in improving and maintaining the country's road service quality. To ensure best-value maintenance works, it is essential to carry out regular pavement distress surveys for efficient pavement management and planning. Pothole is a long-standing pavement distress iss...
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Full-text available
In large-scale medical imaging, selecting the best image to extract relevant imaging biomarkers for image assessment is crucial. Segmentation of the left ventricle (LV) and myocardium are performed in computer-aided analysis usually at short-axis slices of cardiac magnetic resonance (MR) image to quantify cardiovascular disease assessment, such as...
Article
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Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this research is to establish an image processing method for lung cancer detection. This paper focuses on lung region segmentation from computed tomography (CT) scan images. In this work, a new procedure for lung region segmentation is proposed. First, the l...
Article
Piezoelectric energy harvesting is the process of extracting electrical energy using energy harvester devices. Any stress in the piezoelectric material will generate induced voltage. Previous energy harvester device with stiff cantilever beam was generated low harvested energy. A flexural piezoelectric energy harvester is proposed to improve the ge...
Article
Full-text available
Deep Learning has ignited great international attention in modern artificial intelligence techniques. The method has been widely applied in many power system applications and produced promising results. A few attempts have been made to classify fault on transmission lines using various deep learning methods. However, a type of deep learning called...
Article
Full-text available
Piezoelectric energy harvesters (PEH) can be used in many areas of application, including human walking, railways, pavements and bridges. Piezoelectric energy harvesters are currently based on two types of external forces, namely pressure load and mechanical oscillation or vibration. A vibration energy harvesting (VEH) is a mechanical oscillation i...
Conference Paper
Pavement distress refers to the condition of pavement surface in terms of its general appearance. Cracks is a type of pavement distress and commonly occur in a road infrastructure. Crack on a pavement surface shows an early sign of pavement problems and aging. Thus, it is important to detect a serious crack as soon as possible to avoid any road acc...
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Massive paddy crops lost every year due to weather condition, plant disease and pest attack. Pest attack is among the main threat that reducing the quality and quantity of the paddy crops. Pesticide is used to control and eliminate the pest in paddy field. In order to determine the quantity of pesticide used, traditional method is based on manual c...
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Accurate fault location on transmission line is important in ensuring consistent and reliable operation of the power deliver to long distance destination. Conventional methods for locating fault on transmission lines based on travelling wave and impendence-based methods usually suffer from large error due to the complexity of fault modeling on diff...
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A sensorless control of permanent magnet synchronous motor (PMSM) by using model reference adaptive system (MRAS) and artificial neural network is presents in this paper. The objective for this study is to improve the speed and position estimation of the PMSM rotor which used the MRAS with the conventional PI controller. In this study, the multilay...
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Cervical cancer is well known as the third killer for women in Malaysia. The precancerous stage for detection can be determine by screening test, known Pap smear test for avoiding occurrence of cervical cancer. The problem face in the test is the human error in reading the data analysis and also lack number of pathologists to interpret the data ana...
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Faults frequently occur in transmission lines and become a major issue in power system engineering. It is an unavoidable incident and leads to many problems such as failure of equipment, instability in power flow and economical losses. Protection relay is a device installed in transmission lines to perform detection, classification and estimation o...
Article
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In the controlling three phase AC motor especially permanent magnet synchronous motor (PMSM), good controller is required to achieved the desired target of speed. This paper presents a comparison among different technique of speed and position estimation by using Proportional and Integral controller (PI) tune by using Heuristic, MATLAB PID auto tun...
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This paper proposes a speed control design of Permanent Magnet Synchronous Motor (PMSM) using Field Oriented Control (FOC). The focus is to design a speed control using Takagi - Sugeno Fuzzy Logic Control (T-S FLS). These systems will replace the conventional method which is proportional-integral (PI). The objective of this paper is to study the T-...
Article
Fault location is one of the important schemes in power system protection to locate the exact location of disturbance. Nowadays, artificial neural networks (ANNs) are being used significantly to identify exact fault location on transmission lines. Selection of suitable training algorithm is important in analysis of ANN performance. This paper prese...
Article
Faults in power distribution system are important to be detected, classified and located to ensure the power supply can be restored in the shortest possible time. The conventional fault classification technique, which is using steady state component, is obviously affected by many factors especially surrounding conditions. Thus, it is important to p...
Article
Leukemia is a type of cancer that can lead to death. The main problem with the leukemia diagnosis lies in the human error in reading the data analysis and the shortage of hematologists available, to perform the data analysis. Creating a computer-aided diagnosis system is one of the solutions where it can automatically interpret the data so that fas...
Article
Fault occurred in transmission line can cause many problems such as failure of equipment, instability in power flow, and economical losses. Many of the techniques proposed for fault classification in transmission line have applied steady state component as it is easily affected by the surroundings. Then, protection scheme based on fault generated t...
Article
Welded joints are widely used in automotive industry in order to form a complete vehicle. The welded joints not only provide connections between components but are essential in controlling the dynamic characteristics of the vehicle. The dynamic characteristic of the vehicle is highly influenced on determining the level of car Noise, Vibration and H...
Conference Paper
This paper present an analysis on in-situ particle monitor using virtual metrology system for particle contamination measurement. In the process of manufacturing semiconductor devices, detecting particle contamination in process tools is a vital factor for determining the product yield. In-situ monitoring of particle contamination can be as accurat...
Conference Paper
Transmission lines are subjected to many kind of fault. Therefore fault location scheme is needed to determine the exact location of fault. This paper proposed a method for estimating transmission line fault location system using traveling wave method and artificial neural network (ANN). The method starts by decomposing the current signal from the...
Conference Paper
This paper present the particle contamination detection during plasma etching process by using k-nearest neighbor (kNN) and Fuzzy k-nearest neighbor (FkNN). In the process of manufacturing semiconductor devices, detecting particle contamination in process tool is a vital factor for determining for product yield. In situ particle is an accurate and...
Conference Paper
Power system protective relaying is an important feature for efficient and reliable power flow operation. The traditional fault classification scheme using the steady state component is easily affected by environment factors. Then, it is important to provide power protection scheme that offers a better classification performance based on fault-gene...
Article
Fast and accurate fault classification in transmission lines is important for any protection devices. The present of extra transient signals cause to phase misclassification and malfunction of protection devices. Thus, it is crucial to provide a proper protection scheme that offer a good classification performance when the signals are influenced by...
Conference Paper
Full-text available
Pain is a non-stationary made by babies in reaction to certain circumstances. This infant facial expression can be used to recognize physical or psychology condition of newborn. The goal of this study is to evaluate the performance of illumination levels for infant pain classification. Single Scale Self Quotient Image (SSQ) and discrete Cosine Tran...
Conference Paper
In this paper, new combination of filters was proposed for infant based on Classification of Pain Expressions (COPE) database. Different performance parameters such as Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), Image Enhancement Factor (IEF) and Mean Structural SIMilarity (MSSIM) Index ere employed. The results show improved perfor...
Article
Breast cancer is the most common cancer diagnosed and cause of death among women worldwide. There is evidence that early detection and treatment can increase the survival rate of breast cancer patients. The traditional method for diagnosing the disease relies on human experiences to identify the presence of certain pattern from the database. It is...
Article
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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
An improved genetic algorithm procedure is introduced in this work based on the theory of the most highly fit parents (both male and female) are most likely to produce healthiest offspring. It avoids the destruction of near optimal information and promotes further search around the potential region by encouraging the exchange of highly important in...
Article
The use of image processing techniques and artificial intelligence has emerged as the most popular technique for detection of tuberculosis (TB) bacilli. Numerous computer-aided techniques for automated TB bacilli detection in sputum smears have been proposed over the past few years to improve the accuracy, efficiency and robustness of the detection...
Article
Image segmentation is a key step in most medical image analysis. However, the process is particularly difficult due to limitation of the imaging equipments and variation in biological system. Therefore, accurate and robust segmentation are important for quantitative assessment of medical images in order to achieve correct clinical diagnosis. This p...
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This paper proposes an automated detection of tuberculosis bacilli in Ziehl-Neelsen-stained tissue slides using image processing and neural network. Image segmentation using CY-based colour filter and k-mean clustering procedure is used to separate objects of interest from the background. A number of geometrical features are then extracted from the...
Article
The application of image processing and artificial intelligence for computer-aided tuberculosis (TB) diagnosis has received considerable attention over the past several years and still is an active research area. Several approaches have been proposed to improve the diagnostic performance in term of diagnostic accuracy and processing efficiency. Thi...
Conference Paper
The application of image processing and artificial intelligence for computer-aided tuberculosis (TB) diagnosis has received considerable attention over the past several years and still is an active research area. Several approaches have been proposed to improve the diagnostic performance in term of diagnostic accuracy and processing efficiency. Thi...
Article
This paper presents an automated method for segmentation of Mycobacterium tuberculosis in tissue sections by combining thresholding and clustering techniques. First, a global threshoding is used to eliminate pixels associated with the methylene blue counterstain. Then, k-mean clustering algorithm is applied to remove the ZN-stained pixels which are...
Article
Advances in imaging technology and artificial intelligence have greatly enhanced the research and development of computer-aided tuberculosis (TB) diagnosis system. The system aims to assist medical technologist and improve the accuracy of clinical diagnosis. A typical architecture of a computer-aided TB diagnosis system consists of image processing...