Browsing Azian Azamimi Abdullah by Author "azamimi@unimap.edu.my"

Now showing items 1-18 of 18

    • 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 ...

    • 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 ...

    • 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 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 ...

    • 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. ...

    • 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 ...

    • Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers 

      Azian Azamimi, Abdullah; Nurlisa, Yusuf; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ammar, Zakaria; Latifah Munirah, Kamarudin; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr.; Maz Jamilah, Aznan (Atlantis Press, 2014)
      Many diabetic patients eventually develop foot ulcers are at risk for further infection and subsequent amputation if they are not treated promptly. Hence, this study is focused on identifying wild type strain bacteria and ...

    • 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 ...

    • 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 ...

    • Rapid identification method of aerobic bacteria in diabetic foot ulcers using electronic nose 

      Azian Azamimi, Abdullah; Tan, Woei Jing; Chua, Ai Sie; Nurlisa, Yusuf; 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.; Ammar, Zakaria, Dr.; Amizah, Othman, Dr.; Mohd Sadek, Yasin (American Scientific Publishers, 2014-01)
      Diabetic foot ulcer (DFU) is an infection, ulcer or destruction of deep tissue associated with neurological abnormalities, musculoskeletal deformities and various degrees of peripheral vascular disease of lower limb. In ...

    • 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 ...

    • 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 ...