Browsing Ali Yeon Md Shakaff, Dato' Prof. Dr. by Author "Ammar, Zakaria"

Now showing items 1-20 of 30

    • 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 ...

    • 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 ...

    • 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 ...

    • Classification of domestic burning smell using covariance k-nearest neighbour algorithm for early fire detection application 

      Allan Melvin, Andrew; Kamarulzaman, Kamarudin; Syed Muhammad, Mamduh; Ali Yeon, Md Shakaff; Ammar, Zakaria; Abdul Hamid, Adom; David Lorater, Ndzi; Ragunathan, Santiagoo (Italian Association of Chemical Engineering (AIDIC), 2014)
      Fire is one of the most common hazards in households. It is the fifth leading unintentional cause of injury and death, behind motor vehicle crashes, falls, poisoning by solids or liquids, and drowning. It also ranks as the ...

    • Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN) 

      Shaharil, Mad Saad; Allan Melvin, Andrew; Ali Yeon, Md Shakaff; Abdul Rahman, Mohd Saad; Azman, Muhamad Yusof @ Kamarudin; Ammar, Zakaria (MDPI AG, 2015)
      Monitoring indoor air quality (IAQ) is deemed important nowadays. A sophisticated IAQ monitoring system which could classify the source influencing the IAQ is definitely going to be very helpful to the users. Therefore, ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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, ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...