Browsing Conference Papers by Author "yusoff@unimap.edu.my"

Now showing items 1-20 of 21

    • Adaptive fuzzy logic controller for innovative satellite 

      Fatimatul Anis, Bakri; Mohd Yusoff, Mashor, Prof. Madya Dr.; Siti Maryam, Sharun (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This paper evaluates the performance of Adaptive Fuzzy Logic Control (AFLC) in the process of controlling the attitude of an Innovative Satellite (InnoSAT) system. Y-Thompson spin control is adapted to the satellite ...

    • Adaptive neuro-controller based on IMAC scheme for InnoSAT control 

      Norhayati, M. N.; Mohd Yusoff, Mashor, Prof. Dr.; Siti Maryam, Sharun; Azian Azamimi, Abdullah; Wan Nur Hadani (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      In this paper, an Adaptive Neuro-Controller (ANC) based on Internal Model Adaptive Control (IMAC) scheme is developed to adjust the control parameters for the InnoSAT attitude. Controller architecture, which is combination ...

    • Bone marrow image segmentation based on multilevel thresholding 

      Robiyanti, Adollah; Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Nor Hazlyna, Harun (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      This paper represents an approach of image segmentation on microscopic bone marrow images by using multilevel tresholding technique. This technique has been applied into two types of images which is normal bone marrow ...

    • Classification of acute leukemia sub-types using artificial neural network 

      Lim, Chee Chin; Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Roseline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This paper presents a study on sub-types classification of acute leukemia using artificial neural networks. Thirteen morphologival features have been extracted from acute leukemia cells and used as the neural network inputs ...

    • Classification of blasts in acute leukemia blood samples using k-nearest neighbour 

      Nadiatun Zawiyah, Supardi; Mohd Yusoff, Mashor, Prof. Madya Dr.; Nor Hazlyna, Harun; Fatimatul Anis, Bakri; Rosline, Hassan, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)
      The k-nearest neighbor (k-NN) is a traditional method and one of the simplest methods for classification problems. Even so, results obtained through k-NN had been promising in many different fields. Therefore, this paper ...

    • Classification of heart sound based on S-Transform and neural network 

      H. M., Hadi; Mohd Yusoff, Mashor, Prof. Madya Dr.; Mohd Zubir, Suboh; Mohamed Sapawi, Mohamed (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)
      The skill of cardiac auscultatory is very important to physicians for accurate diagnosis of many heart diseases. However, it needs some training and experience to improve the skills of medical students in recognizing and ...

    • Classification of heart valve diseases using correlation analysis 

      Mohd Zubir, Suboh; Mohd Yusoff, Mashor; Abdul Rahman, Mohd Saad; M.S., Mohamed (Institute of Electrical and Electronics Engineering (IEEE), 2008-11-12)
      As a subjective and qualitative method, heart sound auscultation has it's inherit limitations. In this paper, we present an analytical perspective on heart sound auscultation and explain how to classify heart diseases using ...

    • Colour image segmentation of malaria parasites in thin blood smears using C-Y colour model and K-Means clustering 

      A.S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Malaria is a life threatening disease that is responsible for nearly one million deaths each year. With the large number of cases diagnosed over the year, rapid detection and accurate diagnosis which facilitates prompt ...

    • Comparison for partial and dark contrast stretching on abnormal bone marrow slide images for leukemia screening 

      Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Azian Azamimi, Abdullah; Roseline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Image enhancement is often carried out on medical images to improve the quality of the images for further analysis that needs to be done afterwards. It is the most fundamental digital image processing approach done on ...

    • Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network 

      Rafikha Aliana, A. Raof; Mohd Yusoff, Mashor, Prof. Dr.; R. Badlishah, Ahmad, Prof. Dr.; Noor, S. S. M.; M. A. Abdullah; M. K. Osman (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Manual screening by light microscopy is the most widely used method for tubercle bacilli detection in the developing country. However, it is a time consuming and labour-intensive process. In this paper, a method using image ...

    • Development of attitude control simulator for InnoSAT satellite system 

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Dr.; Sazali, Yaacob, Prof. Dr.; Zul Azfar, Ahmam; N. Hamzah (Universiti Malaysia Perlis (UniMAP), 2012-05-18)
      The current study proposes a novel approach for satellite attitude control simulator design where the simulator consists of both software and hardware. A software simulator will represent the satellite dynamic model, ...

    • Enhancement techniques for tuberculosis slide images: A review 

      Nurul Wahidah, M. F.; Mohd Yusoff, Mashor, Prof. Madya. Dr.; Siti Salwa, Md Noor (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Tuberculosis (TB) is a very hazardous disease caused by infection of germ Mycobacterium tuberculosis that can cause death to the patient. TB can spread like common flu such as through air or direct body fluid connection. ...

    • Image enhancement techniques for thalassaemia images using bright, dark and partial contrast stretching method 

      N. Z. N., Rashid; Mohd Yusoff, Mashor, Prof. Dr.; Rosline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Image enhancement techniques are used as pre-processing tools in digital image processing. The purpose of this technique is to improve the quality of image without knowledge about the source of degradation. The image results ...

    • Image enhancement using white balance technique in Ziehl-Neelsen sputum slide images 

      Rafikha Aliana, A. Raof; R. Badlishah, Ahmad, Prof. Madya Dr.; Mohd Yusoff, Mashor, Prof. Dr.; Siti Suraiya, Mohd Noor, Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Ziehl-Neelsen stain method is one of the common techniques that are being used to diagnose the tuberculosis (TB) infection. However, due to the manual process of preparing the samples, the image of the slide may not appear ...

    • Injected fuel flow forecasting with Online Sequential Extreme Learning Machine 

      Zuraidi, Saad; Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This study deals with Online Sequential Extreme Learning Machine (OS-ELM) modeling of a gasoline engine to predict the injected fuel flow of the engine. The single hidden layer feedforward networks (SLFN) trained by ...

    • Investigating size features of acute leukemia using k-nearest neighbors 

      Nadiatun Zawiyah, Supardi; Nor Hazlyna, Harun; Mohd Yusoff, Mashor, Prof. Dr.; Rosline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      This study investigates the size feature of acute leukemia of blood sample image by using k-NN as a classifier. K-NN is believed to be one of the simplest methods in classifying data including images. Hence, this paper ...

    • Modified median filter for noise reduction in Ziehl-Neelsen sputum slide images 

      Rafikha Aliana, A. Raof; R. Badlishah, Ahmad, Prof. Madya Dr.; Mohd Yusoff, Mashor, Prof. Dr.; Siti Suraiya, Mohd Noor, Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Image filtering is an important approach in the area of digital image processing for noise reduction. The time cost and output image quality in the filtering system are two convention measures in selecting the appropriate ...

    • An overview of acute leukemia: Blood cell segmentation and classification 

      Lim, Huey Nee; Mohd Yusoff, Mashor, Prof. Dr.; Rosline, Hassan (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Morphological evaluation and classification of peripheral blood and bone marrow samples is one of the standard diagnostic procedures for acute leukemia. The morphological diagnosis involves manually distinguishing cells ...

    • An overview of thalassaemia disease 

      Nurul Zhafikha, Noor Rashid; Mohd Yusoff, Mashor, Prof. Madya. Dr.; Rosline, Hassan, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Cooley’s anemia, Mediterranean anemia and thalassaemia major, all refer to a severe, inherited form of anemia first described in 1925 by Dr. Thomas Benton Cooley, an American Pediatrician. There are two types of ...

    • Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation. 

      Mohammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar (Institute of Electrical and Electronics Engineers (IEEE), 2012-05-14)
      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 ...