Browsing Ammar Zakaria, Associate Professor Dr. by Author "mazjamilah@unimap.edu.my"

Now showing items 1-4 of 4

    • Comparing the classification performance of multi sensor data fusion based on feature extraction and feature selection 

      Maz Jamilah, Masnan; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria; Nor Idayu, Mahat (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Linear discriminant analysis (LDA) has been widely used in the classification of multi sensor data fusion. This paper discusses the performance of LDA when the classifications were performed based on feature extraction ...

    • Comparison of Matlab’s multivariate analysis for qualitative and quantitative electronic taste sensing system 

      Abdul Hallis, Abdul Aziz; Ammar, Zakaria; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Abdul Hamid, Adom, Prof. Madya Dr.; Maz Jamilah, Masnan (Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)
      A taste sensing system has been put in place by a team of Unimap’s researchers using an array of sensors and ‘off the shelf’ components. Qualitative and quantitative ‘tasting’ data (multi-dimensions) were subjected ...

    • Determination of honey floral origin using data fusion of electronic taste and smell sensing system 

      Abdul Hallis, Abdul Aziz; Ammar, Zakaria; Ali Yeon, Md Shakaff, Prof.; Abdul Hamid, Adom, Prof. Madya Dr.; Maz Jamilah, Masnan (Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)
      Determination of honey classification based on floral origin requires expensive instrument and/or labor intensive expert personnel. In this study, electronic taste sensing and smell sensing systems were used to determine ...

    • 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 ...