Browsing Azian Azamimi Abdullah by Title

Now showing items 1-20 of 33

    • 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 ...

    • 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 ...

    • Bacteria classification using electronic nose for diabetic wound monitoring 

      Azian Azamimi, Abdullah; Nurlisa, Yusuf @ Idris; Ammar, Zakaria, Dr.; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Abd Hamid, Adom, Prof. Dr.; Latifah Munirah, Kamarudin, Dr.; Yeap, Ewe Juan, Dr.; Amizah, Othman, Dr.; Mohd Sadek, Yasin (Trans Tech Publications, 2013)
      Array based gas sensor technology namely Electronic Nose (E-nose) now offers the potential of a rapid and robust analytical approach to odor measurement for medical use. Wounds become infected when a microorganism which ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Design of an automated breast cancer masses detection in mammogram using cellular neural network (CNN) algorithm 

      Ling, Sim Choon; Azian Azamimi, Abdulah; Wan Khairunizam, Wan Ahmad, Dr. (American Scientific Publishers, 2014-01)
      An automation system using Cellular Neural Network (CNN) algorithm is proposed to assist the radiologists' task in interpreting the digital mammogram image for detecting the presence of breast masses abnormalities. Mammogram ...

    • Design of an intelligent diagnostic system for detection of knee injuries 

      Azian Azamimi, Abdullah; Nur Siti Fatimah Azz-Zahra, Md Som (Trans Tech Publications, 2013)
      Knee injuries is quite common in sport injuries and one of the most frequent happen are anterior cruciate ligament (ACL) knee injuries. There are two types of ACL injuries which are partial tear and complete tear. Currently ...

    • 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 ...

    • Development of EEG-based epileptic detection using artificial neural network 

      Azian Azamimi, Abdullah; Saufiah, Abdul Rahim; Adira, Ibrahim (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Epilepsy is one of the most common neurological disorders causing from repeating brain seizures that are the result of the temporal and sudden electrical disturbance of the brain. Electroencephalogram (EEG) signal plays ...

    • Diagnosis of bacteria for diabetic foot infection using electronic nose technology 

      Nurlisa, Yusuf; Muhammad Iqbal, Omar; Ammar, Zakaria; Azian Azamimi, Abdullah; Latifah Munirah, Kamarudin; Ali Yeon, Md Shakaff, Prof. Dr.; Maz Jamilah, Masnan; Nurhamidah, Zakaria; Yeap, Ewe Juan, Dr; Abu Talib, Othman, Dr.; Mohd Sadek, Yasin (IEEE Computer Society, 2013)
      Foot infections may lead to serious complications if failed to detect at an early stage; especially for diabetic patients. It is necessary to develop an easy and reliable method to identify and classify the causative ...

    • Gesture recognition based on bayesian inference of distributed arm trajectory 

      Wan Khairunizam, Wan Ahmad, Dr.; Mohd Azri, Abd Aziz; Siti Khadijah, Za'aba, Dr.; Shahriman, Abu Bakar, Dr.; Nasir, Ayob; Azian Azamimi, Abdullah; Zuradzman, Mohd Razlan (American Scientific Publishers, 2014-01)
      The use of human gestures has become an important part of human-computer interaction (HCI) and is receiving more and more attentions in the recent years, which allows users to communicate with machines in the natural way, ...

    • 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 ...

    • 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. ...

    • 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 ...

    • 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 ...