Azian Azamimi Abdullah: Recent submissions

Now showing items 1-20 of 33

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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, ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Rapid detection method of bacteria species on diabetic infected foot using E-Nose technology 

      Muhammad Nur Hadi, Salleh; Mohammad Iqbal, Omar, Assoc. Prof. Dr.; Ali Yeon, Md. Shakaff, Prof. Dr.; Amizah, Othman, Dr.; Ammar, Zakaria; Azian Azamimi, Abdullah; Mohd Sadek, Yasin; Saiful Akmal, Yusof (Macao Innovation & Invention Association, 2012-06-29)
      Array based gas sensor technology namely Electronic Nose (E-nose) and Gas Chromatography-Mass Spectrometry (GC-MS) proposed for a rapid and a robust analytical approach for odour measurement especially for a medical use.

    • Rapid detection method of bacteria species on diabetic infected foot using E-Nose technology 

      Muhammad Nur Hadi, Salleh; Mohammad Iqbal, Omar, Assoc. Prof.; Ali Yeon, Md. Shakaff, Prof. Dr.; Amizah, Othman, Dr.; Ammar, Zakaria; Azian Azamimi, Abdullah; Mohd Sadek, Yasin; Saiful Akmal, Yusof (Universiti Sains Malaysia, 2012-07-17)
      The technology is about foot diabetic detection method by using array based sensor technology which is the odor measurement release by the bacteria. This odorus is known as the bio-marker can be used to differentiate the ...

    • 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 ...

    • 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 ...

    • 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 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 ...

    • 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 ...