Browsing Ammar Zakaria, Associate Professor Dr. by Author "Ali Yeon, Md Shakaff, Prof. Dr."

Now showing items 1-11 of 11

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...