About Associate Professor Dr. Ammar Zakaria

Associate Professor Dr. Ammar Zakaria is currently a Senior Lecturer at Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis

He was formerly from School of Mechatronic Engineering

ORCID ID: https://orcid.org/0000-002-7108-215X

Scopus Author ID: 36560557700

Email: Ammar Zakaria


Research Interests

Wireless Sensor Network

Sensor Technology

Sensor

Classification


Recent Submissions

  • Orientation-based pairwise coarse registration with markerless terrestrial laser scans 

    Siti Nurhashima, Mohd Isa; Shazmin Aniza, Abdul Shukor; I., Maarof; Zainor Ridzuan, Yahya; Norasmadi, Abdul Rahim; Ammar, Zakaria; A. H., Abdullah; R., Wong (Copernicus Publications, 2019)
    In this paper, pairwise coarse registration is presented using real world point cloud data obtained by terrestrial laser scanner and without information on reference marker on the scene. The challenge in the data is because ...
  • Effect of substrate bias in copper sputtering plasma measured by Langmuir Probe 

    Jia Wei, Low; Nafarizal, Nayan; Mohd Zainizan, Sahdan; Mahamad, Abd Kadir; Mohd Khairul, Ahmad; Ali Yeon, Md Shakaff; Ammar, Zakaria; Fathinul Syahir, Ahmad Saad; Ahmad Faizal, Mohd Zain (Trans Tech Publications Inc., 2014-04)
    There are several techniques to deposit the metal oxide thin film such as electron beam evaporator, pulse laser deposition and reactive magnetron sputtering deposition. In this experiment, magnetron sputtering deposition ...
  • 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 ...
  • Enhancing conductive polymer performance using eggshell for ammonia sensor 

    Supri, Abdul Ghani, Prof. Madya Dr.; Ammar, Zakaria; Ali Yeon, Md. Shakaff, Prof. Dr.; Abu Hassan, Abdullah, Dr.; Mohd Noor, Ahmad, Prof, Dr. (Penerbit Universiti Sains Malaysia, 2012)
    Polyaniline/eggshell powder composites are proposed as a novel ammonia detecting sensor. The conductive composite is prepared by mixing eggshell powder and polyaniline using polymerisation process, blended in an appropriate ...
  • 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 ...
  • Influence of dissipation power in copper sputtering plasma measured by optical emission spectroscopy 

    Kevin, Low; Nafarizal, Nayan, Prof. Madya Dr.; Mohd Zainizan, Sahdan, Dr.; Abd Kadir, Mahamad, Dr.; Mohd Khairul, Ahmad, Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria; Fathinul Syahir, Ahmad Sa'ad; Ahmad Faizal, Mohd Zain (Trans Tech Publications, 2014)
    Copper oxide is a low cost material, easy process fabrication and sensitivity to ambient conditions. Therefore, it is a suitable p-type semiconductor oxides material to be used as a gas sensing material. In order to raise ...
  • Highly selective molecular imprinted polymer (MIP) based sensor array using interdigitated electrode (IDE) platform for detection of mango ripeness 

    Huzein Fahmi, Hawari; Nurul Maisyarah, Samsudin; Ali Yeon, Md Shakaff, Prof. Dr.; Yufridin, Wahab, Dr.; Uda, Hashim, Prof. Dr.; Ammar, Zakaria; Supri, Abdul Ghani, Prof. Madya Dr.; Mohd Noor, Ahmad, Prof. Dr. (Elsevier B.V., 2013)
    Detection of mango ripeness was performed by developing a highly selective molecularly imprinted polymers (MIP) layer combined with interdigitated electrode (IDE) as sensor. Mango volatiles from different week of ripeness ...
  • 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 ...
  • A hybrid sensing approach for pure and adulterated honey classification 

    Norazian, Subari; Junita, Mohamad Saleh, Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria (MDPI AG, Basel, Switzerland, 2012-10)
    This paper presents a comparison between data from single modality and fusion methods to classify Tualang honey as pure or adulterated using Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA) statistical ...
  • Bio-inspired vision fusion for quality assessment of harumanis mangoes 

    Fathinul Syahir, Ahmad Sa'ad; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria; Mohd Zulkifly, Abdullah, Dr.; Abdul Hamid, Adom, Prof. Dr (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-08)
    The perceived quality of fruits, such as mangoes, is greatly dependent on many parameters such as ripeness, aroma, firmness, shape, size, and is influenced by other factors such as harvesting time. Unfortunately, a manual ...
  • Edible bird nest shape quality assessment using machine vision system 

    Fathinul Syahir, Ahmad Sa'ad; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria; Mohd Zulkifly, Abdullah, Dr.; Abdul Hamid, Adom, Prof. Dr; Ezanuddin, A. A. M. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-08)
    Swiftlets are birds contained within the four genera Aerodramus, Hydrochous, Schoutedenapus and Collocalia. To date, the bird nest grading is based on weight, shape and size. The inspection and grading for raw edible bird ...
  • Comparative performance analysis of wireless RSSI in wireless sensor networks motes in tropical mixed-crop precision farm 

    Azizi, Harun; Ramli, M. F.; Latifah Munirah, Kamarudin; Ndzi, David Lorater; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria; Mahmad, Nor Jaafar (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-08)
    T o provide reliable and adequate network coverage whilst minimizing the cost of wireless sensor network ( WSN ) deployments , detailed knowledge of wireless signal propagation within the specific environment s is ...
  • Bird nest shape quality assessment using machine vision system 

    Fathinul Syahir, Ahmad Sa'ad; Ali Yeon, Md Shakaff, Prof. Dr.; Mohd Zulkifly, Abdullah, Dr.; Ammar, Zakaria (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
    Swiftlets are birds contained within the four genera Aerodramus, Hydrochous, Schoutedenapus and Collocalia. They form the Collocaliini tribe within the swift family Apodidae. Swiftlet nest economy is currently envisaged ...
  • 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 ...
  • 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, ...
  • 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 ...
  • 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 ...