Browsing Ali Yeon Md Shakaff, Dato' Prof. Dr. by Title

Now showing items 1-20 of 105

    • A 1.5 V, 0.85-13.35 GHZ MMIC low noise amplifier design using optimization technique 

      Arjuna, Marzuki; Ali Yeon, Md. Shakaff, Prof. Dr.; Zaliman, Sauli, Prof. Madya (Institution of Electronics and Telecommunication Engineers (IETE), 2009-11-01)
      This paper describes how a broadband, 1.5 V, 0.85-13.35 GHz low noise amplifier in 0.15 μm 85 GHz PHEMT process is synthesized to simultaneously meet multiple design specifications such as bandwidth, noise figure, power ...

    • AromaSens 

      Ali Yeon, Md Shakaff, Prof. Dr.; Abd Hamid, Adom, Assoc. Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr. (Malaysian Invention & Design Society (MINDS), 2005-11-19)
      AromaSens is an intelligent portable device, which can be used to determine stages of harumanis mango ripeness using its aroma.

    • Aromasens: Electronic Nose for Tropical Fruit Maturity Assessment 

      Ali Yeon, Md Shakaff, Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Siti Nordiyana, Md Salim; Zulkifli, Husin (Kementerian Pengajian Tinggi Malaysia (KPTM), 2005-09-30)
      AromaSens is an intelligent portable device, which can be used to determine stages of tropical fruits ripeness using its aroma. This device comprises of an array of semiconductor gas sensors, as well as data acquisition ...

    • Bacteria classification using electronic nose for diabetic wound monitoring 

      Azian Azamimi, Abdullah; Nurlisa, Yusuf @ Idris; Ammar, Zakaria, Dr.; 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.; Amizah, Othman, Dr.; Mohd Sadek, Yasin (Trans Tech Publications, 2013)
      Array based gas sensor technology namely Electronic Nose (E-nose) now offers the potential of a rapid and robust analytical approach to odor measurement for medical use. Wounds become infected when a microorganism which ...

    • A BI-RADS based expert systems for the diagnoses of breast diseases 

      Umi Kalthum, Ngah; Shalihatun Azlin, Aziz; Mohd Ezane, Aziz; Mazeda, Murad; Nik Munirah, Nik Mahdi; Ali Yeon, Md Shakaff; Nor Ashidi, Mat Isa; Mohd Yusoff, Mashor; Mohd. Rizal, Arshad (Science Publications, 2007)
      We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system ...

    • Bio e-Nose for Virgin Coconut Oil (VCO) Standardization 

      Mohd Noor, Ahmad,; Ali Yeon, Md Shakaff; Mohd Yusoff, Mashor; Zulkafli, Daud; Solhan, Yahya; Anas, Mohd Noor; Azman, Mat Hussin; Suhardy, Daud (Malaysian Invention and Design Society (MINDS), 2006)
      To establish Bio e-Nose as a tool to standardize and quality control of VCO.

    • 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 ...

    • Bioi2D-Wireless Embedded System for Biometric Identification Based on Iris Detection 

      Ali Yeon, Md Shakaff, Prof. Dr.; R. Badlishah, Ahmad, Prof. Madya Dr.; Mohd Rizon, Mohamed Juhari, Prof. Madya Dr.; Ahmad Nasir, Che Rosli; Wan Muhamad Azmi, Mamat (Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)
      Biometrics refers to automatic identification of a person based on his or her physiological or behavioral characteristics which provides a reliable and secure user authentification for the increased security requirements ...

    • 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 agarwood oil using an electronic nose 

      Wahyu, Hidayat; Ali Yeon, Md Shakaff, Prof. Dr.; Mohd Noor, Ahmad, Assoc. Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr. (MDPI Publishing, 2010-05-06)
      Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be ...

    • 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, ...

    • Combined Electronic Nose and Tongue for the Veification of Herbal Products 

      Mohd Noor, Ahmad, Prof. Dr.; Zhari, Ismail, Prof.; Bahruddin, Saad, Prof.; A.R., Othman, Prof. Madya; A.K.M, Syafiqul Islam, Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Wahyu, Hidayat; Azlan, Kamil; Abdul Halis (British Inventors Society, 2007-10-17)
      A combination of an electronic tongue and an electronic nose dedicated for the classification of medicinal plant extracts using data fusion technique has been developed. The 'electronic nose' consists of an array of gas ...

    • 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 ...

    • Correlation studies between electronic nose response and headspace volatiles of Eurycoma longifolia extracts 

      Shafiqul Islam, A.K.M.; Zhari, Ismail; Bahruddin, Saad; Abdul Rahman, Othman; M. Nizam, Ahmad; Ali Yeon, Md Shakaff (Elsevier B.V., 2006-12)
      Most herbs have their own characteristic smell due to the presence of volatile compounds. Traditionally, volatiles are analyzed by using sophisticated and expensive gas chromatography (GC) in tandem with a selective mass ...

    • Correlations studies between electronic nose reponse and headspace volatiles of Tongkat Ali extracts 

      Mohd Noor, Ahmad; Ali Yeon, Md. Shakaff, Prof. Dr.; A. K. M., Shafiqul Islam; Z., Ismail; B., Saad; A. R., Othman (Universiti Malaysia PerlisPejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2006-06)

    • Data mining on climatic factors for Harumanis mango yield prediction 

      Rohani S., Mohamed Farook; Abdul Halis, Abdul Aziz; Azmi, Harun; Zulkifli, Husin; Ali Yeon, Md Shakaff, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Yield Prediction is an essential task to be achieved in order to implement effective forward marketing. Forward marketing is a contract that will be signed between supplier and client based on the amount of delivery and ...