Browsing Abdul Hamid Adom, Prof. Dr. by Author "Mohd Noor, Ahmad"

Now showing items 1-5 of 5

    • Development of intelligent portable electronic nose 

      Abu Hassan, Abdullah; Abdul Hamid, Adom; Ali Yeon, Md Shakaff; Mohd Noor, Ahmad; A., Zakaria; Marni Azira, Markom; E.S., Tan; N.A., Fikri; Rakhmad Arief, Siregar; Mahamad Akmal, Saad (Universiti Malaysia Perlis, 2009-10-11)
      An electronic nose is a device that is able to perform electronic olfactory as a substitute to human experts. It is able to overcome the disadvantages of using human, such as fatigue and inconsistencies, as well as to ...

    • Fabrication of a Hand-held Electronic Nose 

      Marni Azira, Markom; Ali Yeon, Md Shakaff; Abdul Hamid, Adom; Mohd Noor, Ahmad; Abu Hassan, Abdullah (Universiti Malaysia Perlis, 2007)
      An electronic nose is a device that performs the electronic olfactory to substitute human experts. The development of these devices is growing faster due to higher demand. However, current electronic noses usually are very ...

    • A feasibility study of using an Electronic Nose as a fruit ripeness measuring instrument 

      Siti Nordiyana, Md Salim; Ali Yeon, Md Shakaff; Mohd Noor, Ahmad; Abdul Hamid, Adom (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
      This paper presents the study of using an artificial olfactory system as a nondestructive instrument to measure fruit ripeness. The cultivar chosen for this study is Harumanis mango. This system comprises of an array of ...

    • 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 ...

    • Intelligent electronic nose system for basal stem rot disease detection 

      Marni Azira Markom; Ali Yeon, Md Shakaff; Abdul Hamid, Adom; Mohd Noor, Ahmad; Wahyu, Hidayat; Abu Hassan, Abdullah; N., Ahmad Fikrib (Elsevier, 2009-05)
      The agricultural industry has been, for a long time, dependent upon human expertise in using odour for classification, grading, differentiating and discriminating different types of produce. Odour as a parameter of ...