This page provides access to research works by Associate Prof.Ir. Dr. Abu Hassan Abdullah, currently Dean of the Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP).

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Skills and Expertise: Electronic Instrumentation, Sensor Technology, Analog Electronics, Sensor Development, Signal Processing, Microcontroller Programming, Transducers

Recent Submissions

  • Braitenberg swarm vehicles for odour plume tracking in laminar airflow 

    Syed Muhammad Mamduh, Syed Zakaria; Kamarulzaman, Kamarudin; Shaharil, Mad Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria; Abu Hassan, Abdullah, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2013-04)
    This paper presents an algorithm to trace an odour plume using swarm robots in laminar airflow. The algorithm proposed here aims to bridge the gap between single and multiple element systems by mimicking and enhancing ...
  • Method to convert Kinect's 3D depth data to a 2D map for indoor SLAM 

    Kamarulzaman, Kamarudin; Syed Muhammad Mamduh, Syed Zakaria; Ali Yeon, Md Shakaff, Prof. Dr.; Shaharil, Mad Saad; Ammar, Zakaria; Latifah Munirah, Kamarudin, Dr.; Abu Hassan, Abdullah, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2013-03)
    Mobile robotics has been strongly linked to localization and mapping especially for navigation purpose. A robot needs a sensor to see objects around it, avoid them and also map the surrounding area. The use of 1D and 2D ...
  • Improved Maturity and Ripeness Classifications of Magnifera Indica cv. Harumanis Mangoes through Sensor Fusion of an Electronic Nose and Acoustic Sensor 

    Ammar, Zakaria; Ali Yeon, Md Shakaff, Prof. Dr.; Maz Jamilah, Masnan; Fathinul Syahir, Ahmad Saad; Abdul Hamid, Adom, Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr.; Mahmad Nor, Jaafar, Assoc. Prof. Dr.; Abu Hassan, Abdullah; Latifah Munirah, Kamarudin (MDPI AG, 2012-05-10)
    In recent years, there have been a number of reported studies on the use of non-destructive techniques to evaluate and determine mango maturity and ripeness levels. However, most of these reported works were conducted ...
  • The optimum embedded controller for handheld electronic nose 

    Abu Hassan, Abdullah; Abdul Hamid, Adom, Prof. Madya Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr.; Ammar, Zakaria; Fathinul Syahir Ahmad, Sa'ad (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
    Electronic nose (e-nose) is a non-destructive intelligent instrument that mimics human olfactory system to detect, discriminate and classify odour. The instrument have vast potential applications includes food quality ...
  • Development of human sensory mimicking system 

    Nazifah, Ahmad Fikri; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr.; Mohd Noor, Ahmad, Prof. Dr.; Abu Hassan, Abdullah; Ammar, Zakaria; M. A., Markom (American Scientific Publishers, 2011-02)
    Taste (gustatory) and smell (olfactory) are two of the five human senses apart from touch (somatosensory), vision and hearing (auditory). In human and many other vertebrate animals the sense of taste are often used with ...
  • An Electronic Nose system for aromatic rice classification 

    Abu Hassan, Abdullah; Abdul Hamid, Adom, Prof. Madya Dr.; Ali Yeon, Md. Shakaff, Prof. Dr.; Mansur N, Ahmad; Ammar, Zakaria; Nazifah, Ahmad Fikri; Othman, Omar (American Scientific Publishers, 2011-04)
    Aromatic rice is a variety of rice with good cooking qualities such as nice aroma and flavour. It is pricier because it is only suitable to be cultivated in regions with specific climatic and soil conditions. Presently, ...
  • Sensor fusion of electronic nose and electronic tongue for classification of Orthosiphon stamineus 

    Azmi, Zakaria; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Mansur N., Ahmad; Abd. Razak, Shaari; Mahmad Nor, Jaafar, Prof. Madya; Abu Hassan, Abdullah; Nazifah A., Fikri; Latifah Munirah, Kamarudin (American Scientific Publishers, 2011-04)
    Sensor fusion of electronic nose (e-nose) and electronic tongue (e-tongue) has lead to an improved classification of Orthosiphon stamineus (also known as Misai Kucing). The fusion technique was presented and compared with ...
  • Improved classification of Orthosiphon stamineus by data fusion of electronic nose and tongue sensors 

    Ammar, Zakaria; Ali Yeon, Md. Shakaff, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Mohd Noor, Ahmad; Maz Jamilah, Masnan; Abdul Hallis, Abd Aziz; Nazifah, Ahmad Fikri; Abu Hassan, Abdullah; Latifah Munirah, Kamarudin (MDPI Publishing, 2010-09-28)
    An improved classification of Orthosiphon stamineus using a data fusion technique is presented. Five different commercial sources along with freshly prepared samples were discriminated using an electronic nose (e-nose) and ...
  • E-nose for basal stem rot detection 

    Ali Yeon, Md Shakaff, Prof. Dr.; Mazlee Noor, Ahmad. Dr.; Marni Azira, Markom; Abdul Hamid, Adom; Wahyu, Hidayat; Abu Hassan, Abdullah; N., Ahmad Fikri (Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2009-07)
    An electronic nose is an intelligent device, able to mimic human olfaction functions and may be used for detection, recognition and classification of volatile compounds and odours. An e-nose consists of an array of ...
  • Ganobuster: Novel, Easy, and Clean Basal Stem Rot Detection System of the Palm Oil Trunk 

    Ali Yeon, Mohd Shakaff, Prof. Dr. (Principal); Mohd Noor, Ahmad, Prof. Dr.; Mohamed Zulkali, Mohamed Daud, Prof. Madya Dr.; Abdul Hamid, Adom, Prof. Madya Dr.; Abu Hassan, Abdullah; Farizul Hafiz, Kasim; Ahmad Faizal; Shah Fenner Khan; Anas, Mohd Noor; Norahim, Ibrahim; Noor Hasyierah, Mohd Salleh; Marni Azira, Markom (INPEX, 2007-06-06)
    The technology incorporates multi-disciplinary inputs in which data captured through the use of versatile sensors are analyzed using artificial neural networks (ANN) to be translated and presented into profiles considered ...
  • Ganobuster: Novel, Easy, and Clean Basal Stem Rot Detection System of the Palm Oil Trunk 

    Ali Yeon, Mohd Shakaff, Prof. Dr. (Principal); Mohd Noor, Ahmad, Prof. Dr.; Mohamed Zulkali, Mohamed Daud, Prof. Madya Dr.; Abdul Hamid, Adom, Prof. Madya Dr.; Abu Hassan, Abdullah; Farizul Hafiz, Kasim; Ahmad Faizal; Shah Fenner Khan; Anas, Mohd Noor; Norahim, Ibrahim; Noor Hasyierah, Mohd Salleh; Marni Azira, Markom (Malaysian Invention and Design Society (MINDS), 2006-05-19)
    The technology incorporates multi-disciplinary inputs in which data captured through the use of versatile sensors are analyzed using artificial neural networks(ANN) to be translated and presented into profiles considered ...