Now showing items 1-20 of 33

    • On the chaotic nature of biological signals using nonlinear data analysis methodology 

      Azian Azamimi, Abdullah; Nishio, Yoshifumi (Universiti Malaysia Perlis, 2009-10-11)
      In this study, we analyze the characteristic of biological signals using nonlinear data analysis methodology. Biological signals are not linear so to get a more accurate portrait of nonlinear signals, we must analyze them ...
    • Ultrasonic transducer kit for bacteria growth monitoring system 

      H. N. A. Salwa; Sundaraj, Kenneth, Prof. Madya; Azian Azamimi, Abdullah; Mohamed Zulkali, Mohamed Daud (Institute of Electrical and Elctronics Engineering (IEEE), 2010-05-21)
      In food process industries, sometimes there was food contamination even when it is still in process. Same as other industries when involved with liquid, product contamination which caused by bacteria can affect the quality ...
    • Computed Tomography Virtual Lab Software application in Biomedical Electronic Engineering Programme at University Malaysia Perlis 

      Zulkarnay, Zakaria; Mohd Hafiz, Fazalul Rahiman; Saidatul Ardeenawati, Awang; Nur Farahiyah, Mohamad; Azian Azamimi, Abdullah; Ruzairi, Abdul Rahim (Universiti Malaysia PerlisSchool of Materials Engineering & School of Environmental Engineering, 2010-06-09)
      Computed Tomography (CT) is a medical imaging method and is among the common equipment or machine in a hospital which is vital in imaging certain parts of human body for the purpose of screening and detecting of deceases ...
    • Synthesis and characterization of bioceramic from Malaysian cockle shell 

      Nur Farahiyah, Mohammad; Muhammad Adam, Zahid; Saidatul Ardeenawatie, Awang; Zulkarnay, Zakaria; Azian Azamimi, Abdullah (Institute of Electrical and Electronics Engineers (IEEE), 2010-10-03)
      Anadara granosa (Ag) is a marine bivalve cockles which can be found in the tidal mudflats bordering the coastal region of many south East Asian countries particularly Malaysia, Indonesia and Thailand. This research is ...
    • Bacteria growth monitoring system using ultrasonic sensors 

      H. N. A., Salwa; Sundaraj, Kenneth, Prof. Dr.; Azian Azamimi, Abdullah; Mohammed Zulkali, Mohammed Daud, Prof. Madya Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      In Malaysia, food sector is one of the mostly developed industries that promise a good value of profit. Therefore, the quality of food must be controlled to prevent the food from being contaminated and same as other ...
    • Adaptive neuro-controller design based on MLP network 

      Norhayati, Mohd Noor; A. S., Hashim; Mohd Yusoff, Mashor, Prof. Dr.; Siti Maryam, Sharun; Azian Azamimi, Abdullah (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Back Propagation (BP) algorithm is the most commonly used algorithm for training artificial neural networks. But, it suffers from extensive computations, relatively slow convergence speed and possible divergence for ...
    • Improving blast segmentation of acute myelogenous leukaemia (AML) images using bright stretching technique 

      Aimi Salihah, Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; Azian Azamimi, Abdullah (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Contrast enhancement and image segmentation techniques have fast becoming popular for computer vision and image processing area in the last few decades. In this paper, the combination between contrast enhancement and ...
    • Image enhancement technique using partial contrast stretching on abnormal Bone Marrow images for Leukemia screening 

      E. U., Francis; Mohd Yusoff, Mashor, Prof. Dr.; Azian Azamimi, Abdullah; Roseline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Image Enhancement is a very useful pre-processing method that is implemented on biomedical images to eliminate poor contrast, thus improve interpretability for human’s vision. In Leukemia, the Bone Marrow generally ...
    • Development of cellular neural network algorithm for detecting lung cancer symptoms 

      Azian Azamimi, Abdullah; Hasdiana, Mohamaddiah (Institute of Electrical and Electronics Engineers (IEEE), 2010-11-30)
      Lung cancer is the most common of lethal types of cancer. One of the most important and difficult tasks a doctor has to carry out is the detection and diagnosis of cancerous lung nodules from x-ray image's result. Some of ...
    • Internal model control for InnoSAT attitude control 

      M. N, Norhayati; Mohd Yusoff, Mashor, Prof. Dr.; Siti Maryam, Sharun; Azian Azamimi, Abdullah; Wan Nur Hadani (IEEE Conference Publications, 2011)
      This paper presents the results of Internal Model Control (IMC) for InnoSAT attitude control based on Neural Network (NN). IMC is composed of an inverse model connected in series with the plant and a forward model connected ...
    • Screening of bone marrow slide images for leukemia using multilayer perceptron (MLP) 

      Mohd Yusoff, Mashor, Prof. Dr.; R, Hassan Dr.; Azian Azamimi, Abdullah (IEEE Conference Publications, 2011)
      The ability to screen between normal and abnormal bone marrow slide images with high accuracy rate is very much needed before going for the classification of the types and subtypes of Leukemia. Beforehand, the bone marrow ...
    • Design and development of Fuzzy Expert System for diagnosis of hypertension 

      Azian Azamimi, Abdullah; Zulkarnay, Zakaria; Nur Farahiyah, Mohammad (Institute of Electrical and Electronics Engineers (IEEE), 2011-01-24)
      The aim of this study is to design a Fuzzy Expert System (FES) for diagnosis of hypertension risk for patients aged between 20’s, 30’s and 40’s years and is divided into male and female gender. The input data is collected ...
    • Design and development of Fuzzy Expert System for diagnosis of hypertension 

      Azian Azamimi, Abdullah; Zulkarnay, Zakaria; Nur Farahiyah, Mohammad (Institute of Electrical and Electronics Engineers (IEEE), 2011-01-24)
      The aim of this study is to design a Fuzzy Expert System (FES) for diagnosis of hypertension risk for patients aged between 20's, 30's and 40's years and is divided into male and female gender. The input data is collected ...
    • Performance comparisons of new excitation coil design aspects in Magnetic Induction Tomography (MIT) applications 

      Zulkarnay, Zakaria; Muhamad Hafiz, Hussin; Ruzairi, Abdul Rahim; Nur Farahiyah, Mohammad; Azian Azamimi, Abdullah; Sazali, Yaacob, Prof. Dr.; Syed Mustafa Kamal, Syed Aman (Institute of Electrical and Electronics Engineers (IEEE), 2011-01-24)
      Magnetic Induction Tomography (MIT) is a contactless method interested in conductivity properties of the object. In MIT system, excitation coil plays an important role since it generate primary field which then will propagate ...
    • Preliminary study of pneumonia symptoms detection method using cellular neural network 

      Azian Azamimi, Abdullah; Norafifah, Md Posdzi; Nishio, Yoshifumi (Institute of Electrical and Electronics Engineers (IEEE), 2011-06-21)
      Medical diagnosis is one of the most important procedure in which image processing are usefully applied. In this paper, a pneumonia symptoms detection method based on cellular neural networks (CNNs) is proposed. The CNN ...
    • Design and development of an Emotional Stress Indicator (ESI) kit 

      Azian Azamimi, Abdullah; Umida Hafsah, Hassan (IEEE Conference Publications, 2012)
      Emotional Stress Indicator (ESI) kit is a wearable sensor device that used to measure the human stress level. Many people out there do not aware about their level of stress that will give a big impact in their life. So ...
    • Review on interaction between electromagnetic field and biological tissues 

      Zulkarnay, Zakaria; Ruzairi, Abdul Rahim, Prof. Dr.; Lee, Pick Yern; Muhammad Saiful Badri, Mansor; Azian Azamimi, Abdullah; Sazali, Yaacob, Prof. Dr.; Siti Zarina, Mohd Muji (International Frequency Sensor Association (IFSA), 2012)
      The objective of this paper is to have a look on the interaction of electromagnetic field (EM) on biological tissue from the view of physiological and electrical engineering. The understanding of the phenomena in the ...
    • Simulation of electromagnetic field (EM) focusing capability on biological tissue through the application of C-type excitation coil screen 

      Zulkarnay, Zakaria; Noor Alia, Mohd Zain; Azian Azamimi, Abdullah; Sofi, Yahya; Ruzairi, Abdul Rahim, Prof. Dr.; Muhammad Saiful Badri, Mansor; Abdul Rahim, Mohd Disar (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      In Magnetic Induction Tomography (MIT) or Electromagnetic Therapy system, excitation coil is applied with AC source in generating the electromagnetic (EM) field which then propagate and penetrate the object located in ...
    • Implementation of an improved cellular neural network algorithm for brain tumor detection 

      Azian Azamimi, Abdullah; Bu, Sze Chize; Nishio, Yoshifumi (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Image processing plays an important role in medical diagnosis. In this paper, a brain tumor detection method based on cellular neural networks (CNNs) is proposed. Brain tumor is an abnormal growth of cells inside the skull. ...
    • Characterization of calcium phosphate bioceramic from Paphia undulata shells 

      Nur Farahiyah, Mohammad; Muhammad Hariz, Muhammed; Zulkarnay, Zakaria; Azian Azamimi, Abdullah; Intan Shafinaz, Mohammad (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      This study aim to synthesize bioceramic from Paphia undulata shell by using dry technique in order to proposed new bioceramic for human bone repair application. The clam shells obtained from the fisherman of Kuala ...